Sample records for program featuring on-going

  1. On-Going International Research Program on Irradiated Concrete Conducted by DOE, EPRI and Japan Research Institutions. Roadmap, Achievements and Path Forward

    Energy Technology Data Exchange (ETDEWEB)

    Le Pape, Yann [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Rosseel, Thomas M. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)


    The Joint Department of Energy (DOE)-Electric Power Research Institute (EPRI) Program (Light Water Reactor Sustainability (LWRS) Program–Material Pathway–Concrete and Long-Term Operation (LTO) Program) and US Nuclear Regulatory Commission (NRC) research studies aim at understanding the most prominent degradation modes and their effects on the long-term operation of concrete structures to nuclear power generation. Based on the results of the Expanded Materials Degradation Analysis (EMDA), (NUREG/CR-7153, ORNL/TM-2011/545), irradiated concrete and alkali-silica reaction (ASR)-affected concrete structures are the two prioritized topics of on-going research. This report focuses specifically on the topic of irradiated concrete and summarizes the main accomplishments obtained by this joint program, but also provides an overview of current relevant activities domestically and internationally. Possible paths forward are also suggested to help near-future orientation of this program.

  2. Effective Preparation Program Features: A Literature Review (United States)

    Crow, Gary M.; Whiteman, Rodney S.


    This article is a summary of a report prepared for the University Council for Educational Administration Program Improvement Project for the Wallace Foundation. This explores the research base for educational leadership preparation programs, specifically examining literature on program features. The review covers context, candidates, faculty,…

  3. Remodularizing Java programs for comprehension of features

    DEFF Research Database (Denmark)

    Olszak, Andrzej; Jørgensen, Bo Nørregaard


    . In absence of these mechanisms, feature implementations tend to be scattered and tangled in terms of object-oriented abstractions, making the code implementing features difficult to locate and comprehend. In this paper we present a semi-automatic method for feature-oriented remodularization of Java programs....... Our method uses execution traces to locate implementations of features, and Java packages to establish explicit feature modules. To evaluate usefulness of the approach, we present a case study where we apply our method to two real-world software systems. The obtained results indicate a significant...

  4. Feature extraction from multiple data sources using genetic programming.

    Energy Technology Data Exchange (ETDEWEB)

    Szymanski, J. J. (John J.); Brumby, Steven P.; Pope, P. A. (Paul A.); Eads, D. R. (Damian R.); Galassi, M. C. (Mark C.); Harvey, N. R. (Neal R.); Perkins, S. J. (Simon J.); Porter, R. B. (Reid B.); Theiler, J. P. (James P.); Young, A. C. (Aaron Cody); Bloch, J. J. (Jeffrey J.); David, N. A. (Nancy A.); Esch-Mosher, D. M. (Diana M.)


    Feature extration from imagery is an important and long-standing problem in remote sensing. In this paper, we report on work using genetic programming to perform feature extraction simultaneously from multispectral and digital elevation model (DEM) data. The tool used is the GENetic Imagery Exploitation (GENIE) software, which produces image-processing software that inherently combines spatial and spectral processing. GENIE is particularly useful in exploratory studies of imagery, such as one often does in combining data from multiple sources. The user trains the software by painting the feature of interest with a simple graphical user interface. GENIE then uses genetic programming techniques to produce an image-processing pipeline. Here, we demonstrate evolution of image processing algorithms that extract a range of land-cover features including towns, grasslands, wild fire burn scars, and several types of forest. We use imagery from the DOE/NNSA Multispectral Thermal Imager (MTI) spacecraft, fused with USGS 1:24000 scale DEM data.

  5. Feature Scaling via Second-Order Cone Programming

    Directory of Open Access Journals (Sweden)

    Zhizheng Liang


    Full Text Available Feature scaling has attracted considerable attention during the past several decades because of its important role in feature selection. In this paper, a novel algorithm for learning scaling factors of features is proposed. It first assigns a nonnegative scaling factor to each feature of data and then adopts a generalized performance measure to learn the optimal scaling factors. It is of interest to note that the proposed model can be transformed into a convex optimization problem: second-order cone programming (SOCP. Thus the scaling factors of features in our method are globally optimal in some sense. Several experiments on simulated data, UCI data sets, and the gene data set are conducted to demonstrate that the proposed method is more effective than previous methods.

  6. Alaska Program Point and Line Feature GIS Data from COMIDA, ANIMIDA and cANIMIDA Programs (United States)

    Bureau of Ocean Energy Management, Department of the Interior — Alaska Program Map Service contains point and line features from the following BOEM Alaska Region environmental monitoring programs: Chukchi Sea Offshore Monitoring...

  7. Aura: A Multi-Featured Programming Framework in Python

    Directory of Open Access Journals (Sweden)


    Full Text Available This paper puts forward the design, programming and application of innovative educational software, ‘Aura’ made using Python and PyQt Python bindings. The research paper presents a new concept of using a single tool to relate between syntaxes of various programming languages and algorithms. It radically increases their understanding and retaining capacity, since they can correlate between many programming languages. The software is a totally unorthodox attempt towards helping students who have their first tryst with programming languages. The application is designed to help students understand how algorithms work and thus, help them in learning multiple programming languages on a single platform using an interactive graphical user interface. This paper elucidates how using Python and PyQt bindings, a comprehensive feature rich application, that implements an interactive algorithm building technique, a web browser, multiple programming language framework, a code generator and a real time code sharing hub be embedded into a single interface. And also explains, that using Python as building tool, it requires much less coding than conventional feature rich applications coded in other programming languages, and at the same time does not compromise on stability, inter-operability and robustness of the application.

  8. Mall Walking Program Environments, Features, and Participants: A Scoping Review. (United States)

    Farren, Laura; Belza, Basia; Allen, Peg; Brolliar, Sarah; Brown, David R; Cormier, Marc L; Janicek, Sarah; Jones, Dina L; King, Diane K; Marquez, David X; Rosenberg, Dori E


    Walking is a preferred and recommended physical activity for middle-aged and older adults, but many barriers exist, including concerns about safety (ie, personal security), falling, and inclement weather. Mall walking programs may overcome these barriers. The purpose of this study was to summarize the evidence on the health-related value of mall walking and mall walking programs. We conducted a scoping review of the literature to determine the features, environments, and benefits of mall walking programs using the RE-AIM framework (reach, effectiveness, adoption, implementation, and maintenance). The inclusion criteria were articles that involved adults aged 45 years or older who walked in indoor or outdoor shopping malls. Exclusion criteria were articles that used malls as laboratory settings or focused on the mechanics of walking. We included published research studies, dissertations, theses, conference abstracts, syntheses, nonresearch articles, theoretical papers, editorials, reports, policy briefs, standards and guidelines, and nonresearch conference abstracts and proposals. Websites and articles written in a language other than English were excluded. We located 254 articles on mall walking; 32 articles met our inclusion criteria. We found that malls provided safe, accessible, and affordable exercise environments for middle-aged and older adults. Programmatic features such as program leaders, blood pressure checks, and warm-up exercises facilitated participation. Individual benefits of mall walking programs included improvements in physical, social, and emotional well-being. Limited transportation to the mall was a barrier to participation. We found the potential for mall walking programs to be implemented in various communities as a health promotion measure. However, the research on mall walking programs is limited and has weak study designs. More rigorous research is needed to define best practices for mall walking programs' reach, effectiveness, adoption

  9. Genetic programming approach to extracting features from remotely sensed imagery

    Energy Technology Data Exchange (ETDEWEB)

    Theiler, J. P. (James P.); Perkins, S. J. (Simon J.); Harvey, N. R. (Neal R.); Szymanski, J. J. (John J.); Brumby, Steven P.


    Multi-instrument data sets present an interesting challenge to feature extraction algorithm developers. Beyond the immediate problems of spatial co-registration, the remote sensing scientist must explore a complex algorithm space in which both spatial and spectral signatures may be required to identify a feature of interest. We describe a genetic programming/supervised classifier software system, called Genie, which evolves and combines spatio-spectral image processing tools for remotely sensed imagery. We describe our representation of candidate image processing pipelines, and discuss our set of primitive image operators. Our primary application has been in the field of geospatial feature extraction, including wildfire scars and general land-cover classes, using publicly available multi-spectral imagery (MSI) and hyper-spectral imagery (HSI). Here, we demonstrate our system on Landsat 7 Enhanced Thematic Mapper (ETM+) MSI. We exhibit an evolved pipeline, and discuss its operation and performance.

  10. Mall Walking Program Environments, Features, and Participants: A Scoping Review (United States)

    Belza, Basia; Allen, Peg; Brolliar, Sarah; Brown, David R.; Cormier, Marc L.; Janicek, Sarah; Jones, Dina L.; King, Diane K.; Marquez, David X.; Rosenberg, Dori E.


    Introduction Walking is a preferred and recommended physical activity for middle-aged and older adults, but many barriers exist, including concerns about safety (ie, personal security), falling, and inclement weather. Mall walking programs may overcome these barriers. The purpose of this study was to summarize the evidence on the health-related value of mall walking and mall walking programs. Methods We conducted a scoping review of the literature to determine the features, environments, and benefits of mall walking programs using the RE-AIM framework (reach, effectiveness, adoption, implementation, and maintenance). The inclusion criteria were articles that involved adults aged 45 years or older who walked in indoor or outdoor shopping malls. Exclusion criteria were articles that used malls as laboratory settings or focused on the mechanics of walking. We included published research studies, dissertations, theses, conference abstracts, syntheses, nonresearch articles, theoretical papers, editorials, reports, policy briefs, standards and guidelines, and nonresearch conference abstracts and proposals. Websites and articles written in a language other than English were excluded. Results We located 254 articles on mall walking; 32 articles met our inclusion criteria. We found that malls provided safe, accessible, and affordable exercise environments for middle-aged and older adults. Programmatic features such as program leaders, blood pressure checks, and warm-up exercises facilitated participation. Individual benefits of mall walking programs included improvements in physical, social, and emotional well-being. Limited transportation to the mall was a barrier to participation. Conclusion We found the potential for mall walking programs to be implemented in various communities as a health promotion measure. However, the research on mall walking programs is limited and has weak study designs. More rigorous research is needed to define best practices for mall walking

  11. ALOHA Cabled Observatory: On-going results and new instruments (United States)

    Howe, B. M.; Lukas, R.


    Since June 2011, the ALOHA Cabled Observatory (ACO) has been collecting abyssal oceanographic data. The ACO is at Station ALOHA 100 km north of Oahu, the field site of the Hawaii Ocean Time-series (HOT) program that has collected biological, physical, and chemical oceanographic data since 1988. At 4728 m water depth, it is the world's deepest operating cabled observatory. On-going results will be presented along with results from two new instrument packages to be deployed: a basic sensor package (CTDO2, fluorometer, acoustic modem, ADCP), and a video/light/hydrophone combination. Plans for future research will be discussed. [Work supported by the National Science Foundation.

  12. Particular features of development and realizations of purposeful complex programs in Ukraine

    Directory of Open Access Journals (Sweden)

    О.В. Самков


    Full Text Available  Features of development and realization of aviation purposeful complex programs in Ukraine are examined. The necessity of metrology securing of aviation programs as well as decision making process in the logistics system during complex programs development and realization. Examples from the modernization programs of aviation are analyzed.

  13. Feature Program: Project N.I.C.E. (United States)

    Education Journal of the Institute for the Development of Indian Law, 1973


    The Northern Indian California Education Project, established in 1971, has pilot programs in 6 schools which reach out to 24 additional schools. The article lists project goals, the implementation of these goals, accomplishments, and available materials. (KM)

  14. Remodularizing Java Programs for Improved Locality of Feature Implementations in Source Code

    DEFF Research Database (Denmark)

    Olszak, Andrzej; Jørgensen, Bo Nørregaard


    Explicit traceability between features and source code is known to help programmers to understand and modify programs during maintenance tasks. However, the complex relations between features and their implementations are not evident from the source code of object-oriented Java programs. Conseque...

  15. Features of using multimedia technologies at lecturing programming

    Directory of Open Access Journals (Sweden)

    G. S. Ivanova


    Full Text Available The subject of study of this paper is multimedia capabilities, which are used for lectures on programming for undergraduate students to learn Computer Science and Engineering.The objective is to analyze the factors affecting the efficiency of lectures on programming, readable using multimedia, identifying the advantages and disadvantages of using presentations and process of creating and debugging programs in software environments demonstration, and to make recommendations on the use of illustrative material aimed at improving student's handout with the knowledge readable material.Scientific novelty of the material is to identify and analyze the factors influencing the effectiveness of teaching programming using multimedia as well as to make recommendations on the creation of illustrative material in the form of lecture presentations, analyse the negative side effects of presentations and opportunities to address them.It is stated that even at the initial stage of teaching in programming the amount of learning material and associated details in their records to which student's attention should be drawn, commensurate with the restrictions of psycho physiological capabilities defined for modern undergraduate students to remember and learn. The conclusion about expediency to improve lectures efficiency through the use of multimedia equipment capabilities is made.The types of illustrative material used in lectures on programming are listed and named, examples of illustrative material for presentation slides are analyzed. The positive results of the process of program creating, debugging and running directly in the programming environment during the lecture are underlined .As the merits of the multimedia-based lectures are marked a significant reduction of time to be required for material presentation ( from 10 to 30 % and the structured and with no errors in the program texts of lectures available for students. Negative effects of the multimedia

  16. Articulation Therapy Using Distinctive Feature Analysis to Structure the Training Program: Two Case Studies. (United States)

    Ruder, Kenneth F.; Bunce, Betty H.


    Two case reports of 4 and 5 year old children describe the rationale and procedures for structuring an articulation therapy program on the basis of distinctive feature analysis of the child's articulation problems. (Author/DB)

  17. Diffusion of Courses with World Wide Web Features: Perceptions of Journalism and Mass Communication Program Administrators. (United States)

    Sutherland, Patrick J.


    Examines perceptions of top administrators concerning courses with Web features at Association of Schools of Journalism and Mass Communication (ASJMC) programs. Studies the imperatives and pressures to implement courses with Web features as well as resistances to implementation. Suggests that administrators perceive an extensive set of needs and…

  18. Features of circular training as a part of strength training program for dancer


    Олександрова [Veronika Aleksandrova], Вероніка Анатоліївна; Шиян [Vladimir Shiyan], Віктор Володимирович


    says about the results of the experimental program which has been worked out and theoretically substantiated. The program includes two ways of strength training which are strength and stamina development. The program consists of three weeklong micro cycles (units): first week – drawing unit, second week – strength unit, third week – stamina development unit. Circular trainings were carried out according to individual differences of the dancers. The analysis of the literature about features of...

  19. Successful Bullying Prevention Programs: Influence of Research Design, Implementation Features, and Program Components

    Directory of Open Access Journals (Sweden)

    Bryanna Hahn Fox


    Full Text Available Bullying prevention programs have been shown to be generally effective in reducing bullying and victimization. However, the effects are relatively small in randomized experiments and greater in quasi-experimental and age-cohort designs. Programs that are more intensive and of longer duration (for both children and teachers are more effective, as are programs containing more components. Several program components are associated with large effect sizes, including parent training or meetings and teacher training. These results should inform the design and evaluation of anti-bullying programs in the future, and a system ofaccreditation of effective programs.

  20. Using Hierarchical Latent Dirichlet Allocation to Construct Feature Tree for Program Comprehension

    Directory of Open Access Journals (Sweden)

    Xiaobing Sun


    Full Text Available Program comprehension is an important task faced by developers during software maintenance. With the increasing complexity of evolving systems, program comprehension becomes more and more difficult. In practice, programmers are accustomed to getting a general view of the features in a software system and then finding the interesting or necessary files to start the understanding process. Given a system, developers may need a general view of the system. The traditional view of a system is shown in a package-class structure which is difficult to understand, especially for large systems. In this article, we focus on understanding the system in both feature view and file structure view. This article proposes an approach to generate a feature tree based on hierarchical Latent Dirichlet Allocation (hLDA, which includes two hierarchies, the feature hierarchy and file structure hierarchy. The feature hierarchy shows the features from abstract level to detailed level, while the file structure hierarchy shows the classes from whole to part. Empirical results show that the feature tree can produce a view for the features and files, and the clustering of classes in the package in our approach is better (in terms of recall than the other clustering approach, that is, hierarchical clustering.

  1. Combining heterogeneous features for colonic polyp detection in CTC based on semi-definite programming (United States)

    Wang, Shijun; Yao, Jianhua; Petrick, Nicholas A.; Summers, Ronald M.


    Colon cancer is the second leading cause of cancer-related deaths in the United States. Computed tomographic colonography (CTC) combined with a computer aided detection system provides a feasible combination for improving colonic polyps detection and increasing the use of CTC for colon cancer screening. To distinguish true polyps from false positives, various features extracted from polyp candidates have been proposed. Most of these features try to capture the shape information of polyp candidates or neighborhood knowledge about the surrounding structures (fold, colon wall, etc.). In this paper, we propose a new set of shape descriptors for polyp candidates based on statistical curvature information. These features, called histogram of curvature features, are rotation, translation and scale invariant and can be treated as complementing our existing feature set. Then in order to make full use of the traditional features (defined as group A) and the new features (group B) which are highly heterogeneous, we employed a multiple kernel learning method based on semi-definite programming to identify an optimized classification kernel based on the combined set of features. We did leave-one-patient-out test on a CTC dataset which contained scans from 50 patients (with 90 6-9mm polyp detections). Experimental results show that a support vector machine (SVM) based on the combined feature set and the semi-definite optimization kernel achieved higher FROC performance compared to SVMs using the two groups of features separately. At a false positive per patient rate of 7, the sensitivity on 6-9mm polyps using the combined features improved from 0.78 (Group A) and 0.73 (Group B) to 0.82 (p<=0.01).

  2. Multi-Objective Genetic Programming with Redundancy-Regulations for Automatic Construction of Image Feature Extractors (United States)

    Watchareeruetai, Ukrit; Matsumoto, Tetsuya; Takeuchi, Yoshinori; Kudo, Hiroaki; Ohnishi, Noboru

    We propose a new multi-objective genetic programming (MOGP) for automatic construction of image feature extraction programs (FEPs). The proposed method was originated from a well known multi-objective evolutionary algorithm (MOEA), i.e., NSGA-II. The key differences are that redundancy-regulation mechanisms are applied in three main processes of the MOGP, i.e., population truncation, sampling, and offspring generation, to improve population diversity as well as convergence rate. Experimental results indicate that the proposed MOGP-based FEP construction system outperforms the two conventional MOEAs (i.e., NSGA-II and SPEA2) for a test problem. Moreover, we compared the programs constructed by the proposed MOGP with four human-designed object recognition programs. The results show that the constructed programs are better than two human-designed methods and are comparable with the other two human-designed methods for the test problem.

  3. Spermatogenesis-specific features of the meiotic program in Caenorhabditis elegans.

    Directory of Open Access Journals (Sweden)

    Diane C Shakes


    Full Text Available In most sexually reproducing organisms, the fundamental process of meiosis is implemented concurrently with two differentiation programs that occur at different rates and generate distinct cell types, sperm and oocytes. However, little is known about how the meiotic program is influenced by such contrasting developmental programs. Here we present a detailed timeline of late meiotic prophase during spermatogenesis in Caenorhabditis elegans using cytological and molecular landmarks to interrelate changes in chromosome dynamics with germ cell cellularization, spindle formation, and cell cycle transitions. This analysis expands our understanding C. elegans spermatogenesis, as it identifies multiple spermatogenesis-specific features of the meiotic program and provides a framework for comparative studies. Post-pachytene chromatin of spermatocytes is distinct from that of oocytes in both composition and morphology. Strikingly, C. elegans spermatogenesis includes a previously undescribed karyosome stage, a common but poorly understood feature of meiosis in many organisms. We find that karyosome formation, in which chromosomes form a constricted mass within an intact nuclear envelope, follows desynapsis, involves a global down-regulation of transcription, and may support the sequential activation of multiple kinases that prepare spermatocytes for meiotic divisions. In spermatocytes, the presence of centrioles alters both the relative timing of meiotic spindle assembly and its ultimate structure. These microtubule differences are accompanied by differences in kinetochores, which connect microtubules to chromosomes. The sperm-specific features of meiosis revealed here illuminate how the underlying molecular machinery required for meiosis is differentially regulated in each sex.

  4. A Multiobjective Genetic Programming-Based Ensemble for Simultaneous Feature Selection and Classification. (United States)

    Nag, Kaustuv; Pal, Nikhil R


    We present an integrated algorithm for simultaneous feature selection (FS) and designing of diverse classifiers using a steady state multiobjective genetic programming (GP), which minimizes three objectives: 1) false positives (FPs); 2) false negatives (FNs); and 3) the number of leaf nodes in the tree. Our method divides a c -class problem into c binary classification problems. It evolves c sets of genetic programs to create c ensembles. During mutation operation, our method exploits the fitness as well as unfitness of features, which dynamically change with generations with a view to using a set of highly relevant features with low redundancy. The classifiers of i th class determine the net belongingness of an unknown data point to the i th class using a weighted voting scheme, which makes use of the FP and FN mistakes made on the training data. We test our method on eight microarray and 11 text data sets with diverse number of classes (from 2 to 44), large number of features (from 2000 to 49 151), and high feature-to-sample ratio (from 1.03 to 273.1). We compare our method with a bi-objective GP scheme that does not use any FS and rule size reduction strategy. It depicts the effectiveness of the proposed FS and rule size reduction schemes. Furthermore, we compare our method with four classification methods in conjunction with six features selection algorithms and full feature set. Our scheme performs the best for 380 out of 474 combinations of data sets, algorithm and FS method.

  5. The features of teaching methods of programming in the system of supplementary education in informatics and ICT

    National Research Council Canada - National Science Library

    Наталья Геннадьевна Саблукова


    The model of formation of the rational contents of teaching to programming in described in the article in view of specificity of supplementary education and features of visual surroundings of programming...

  6. Epileptic MEG Spike Detection Using Statistical Features and Genetic Programming with KNN. (United States)

    Alotaiby, Turky N; Alrshoud, Saud R; Alshebeili, Saleh A; Alhumaid, Majed H; Alsabhan, Waleed M


    Epilepsy is a neurological disorder that affects millions of people worldwide. Monitoring the brain activities and identifying the seizure source which starts with spike detection are important steps for epilepsy treatment. Magnetoencephalography (MEG) is an emerging epileptic diagnostic tool with high-density sensors; this makes manual analysis a challenging task due to the vast amount of MEG data. This paper explores the use of eight statistical features and genetic programing (GP) with the K-nearest neighbor (KNN) for interictal spike detection. The proposed method is comprised of three stages: preprocessing, genetic programming-based feature generation, and classification. The effectiveness of the proposed approach has been evaluated using real MEG data obtained from 28 epileptic patients. It has achieved a 91.75% average sensitivity and 92.99% average specificity.

  7. Epileptic MEG Spike Detection Using Statistical Features and Genetic Programming with KNN

    Directory of Open Access Journals (Sweden)

    Turky N. Alotaiby


    Full Text Available Epilepsy is a neurological disorder that affects millions of people worldwide. Monitoring the brain activities and identifying the seizure source which starts with spike detection are important steps for epilepsy treatment. Magnetoencephalography (MEG is an emerging epileptic diagnostic tool with high-density sensors; this makes manual analysis a challenging task due to the vast amount of MEG data. This paper explores the use of eight statistical features and genetic programing (GP with the K-nearest neighbor (KNN for interictal spike detection. The proposed method is comprised of three stages: preprocessing, genetic programming-based feature generation, and classification. The effectiveness of the proposed approach has been evaluated using real MEG data obtained from 28 epileptic patients. It has achieved a 91.75% average sensitivity and 92.99% average specificity.

  8. Exploration of Genetic Programming Optimal Parameters for Feature Extraction from Remote Sensed Imagery (United States)

    Gao, P.; Shetty, S.; Momm, H. G.


    Evolutionary computation is used for improved information extraction from high-resolution satellite imagery. The utilization of evolutionary computation is based on stochastic selection of input parameters often defined in a trial-and-error approach. However, exploration of optimal input parameters can yield improved candidate solutions while requiring reduced computation resources. In this study, the design and implementation of a system that investigates the optimal input parameters was researched in the problem of feature extraction from remotely sensed imagery. The two primary assessment criteria were the highest fitness value and the overall computational time. The parameters explored include the population size and the percentage and order of mutation and crossover. The proposed system has two major subsystems; (i) data preparation: the generation of random candidate solutions; and (ii) data processing: evolutionary process based on genetic programming, which is used to spectrally distinguish the features of interest from the remaining image background of remote sensed imagery. The results demonstrate that the optimal generation number is around 1500, the optimal percentage of mutation and crossover ranges from 35% to 40% and 5% to 0%, respectively. Based on our findings the sequence that yielded better results was mutation over crossover. These findings are conducive to improving the efficacy of utilizing genetic programming for feature extraction from remotely sensed imagery.

  9. Residential immersive life skills programs for youth with disabilities: service providers' perceptions of experiential benefits and key program features. (United States)

    King, Gillian; McPherson, Amy; Kingsnorth, Shauna; Stewart, Debra; Glencross-Eimantas, Tanya; Gorter, Jan Willem; Jones-Galley, Kimberlea; Morrison, Andrea; Isihi, Ana Maria


    The objective was to determine service providers' perceptions of the experiential benefits of residential immersive life skills (RILS) programs for youth with disabilities, along with important program features. Thirty-seven service providers from three RILS programs took part in qualitative interviews. Themes were derived using a phenomenological approach. There were perceived benefits for youth, and also for parents and service providers. Study themes concerned the process of youth empowerment, life-changing experiences for youth and parents, and changed service provider views affecting practice. Youth changes were attributed to the residential group format and afforded opportunities, which included being away from home, navigating public transportation, directing attendant services, and sharing intense learning and social experiences with peers. Youth were seen to experience important personal changes in life skills, self-confidence, self-understandings, and self-advocacy. Perceived benefits for parents included realizations concerning their child's abilities and new hope for the future. Service providers indicated changes in their knowledge, perspectives, and approach to practice. The findings suggest that life skills programs should be intentionally designed to provide challenging experiential opportunities that motivate youth to engage in new life directions by providing new insights, self-realizations, and positive yet realistic views of the future. Service providers indicated the importance of challenging, real-world experiential opportunities that provide youth with disabilities with new insights, self-realizations, and positive yet realistic views of the future. Important experiential opportunities for youth included being away from home, navigating public transportation, directing attendant care, and sharing intense learning and social experiences with peers. The findings provide preliminary qualitative evidence that life skills programs should be

  10. The features of teaching methods of programming in the system of supplementary education in informatics and ICT

    Directory of Open Access Journals (Sweden)

    Наталья Геннадьевна Саблукова


    Full Text Available The model of formation of the rational contents of teaching to programming in described in the article in view of specificity of supplementary education and features of visual surroundings of programming. The realization of structure of the contents of training to programming is written stage by stage.

  11. Mission X in Japan, an Education Outreach Program Featuring Astronautical Specialties and Knowledge (United States)

    Niihori, Maki; Yamada, Shin; Matsuo, Tomoaki; Nakao, Reiko; Nakazawa, Takashi; Kamiyama, Yoshito; Takeoka, Hajime; Matsumoto, Akiko; Ohshima, Hiroshi; Mukai, Chiaki

    In the science field, disseminating new information to the public is becoming increasingly important, since it can aid a deeper understanding of scientific significance and increase the number of future scientists. As part of our activities, we at the Japan Aerospace Exploration Agency (JAXA) Space Biomedical Research Office, started work to focus on education outreach featuring space biomedical research. In 2010, we launched the Mission X education program in Japan, named after “Mission X: Train Like an Astronaut” (hereinafter called “Mission X”), mainly led by NASA and European Space Agency (ESA). Mission X is an international public outreach program designed to encourage proper nutrition and exercise and teaching young people to live and eat like astronauts. We adopted Mission X's standpoint, and modified the program based on the originals to suit Japanese culture and the students' grade. Using astronauts as examples, this mission can motivate and educate students to instill and adopt good nutrition and physical fitness as life-long practices.Here we introduce our pilot mission of the “Mission X in Japan” education program, which was held in early 2011. We are continuing the education/public outreach to promote the public understanding of science and contribute to science education through lectures on astronautical specialties and knowledge.

  12. New features of the National Cholesterol Education Program Adult Treatment Panel III lipid-lowering guidelines. (United States)

    Brewer, H Bryan


    The National Cholesterol Education Program (NCEP) Adult Treatment Panel III (ATP III) guidelines for lipid-lowering therapy to reduce coronary heart disease (CHD) risk contain a number of features that distinguish them from the previous ATP guidelines. These new features include modifications in lipid/lipoprotein levels considered optimal, abnormal, or reflective of risk; increased focus on primary prevention through use of Framingham risk scoring to define risk in persons with multiple lipid/nonlipid risk factors; and increased focus on the association of the metabolic syndrome with CHD risk. The introduction of the category of CHD risk equivalents-including persons with atherosclerotic disease, diabetes, or 10-year CHD risk > 20% based on Framingham scoring-results in an increase over previous guidelines in the proportion of patients categorized as being at high risk and therefore eligible for more intensive low-density lipoprotein cholesterol (LDL-C)-lowering therapy. Use of the new secondary therapeutic target of non-high-density lipoprotein cholesterol should improve management of lipid risk factors in patients who have elevated triglyceride levels after LDL-C goals have been met. These new features of the NCEP ATP III guidelines should improve identification and treatment of patients with dyslipidemias associated with CHD risk.

  13. Programming of adaptive repair process chains using repair features and function blocks

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    Gunter Spöcker


    Full Text Available The current trends of product customization and repair of high value parts with individual defects demand automation and a high degree of flexibility of the involved manufacturing process chains. To determine the corresponding requirements this paper gives an overview of manufacturing process chains by distinguishing between horizontal and vertical process chains. The established way of modeling and programming processes with CAx systems and existing approaches is shown. Furthermore, the different types of possible adaptions of a manufacturing process chain are shown and considered as a cascaded control loop. Following this it is discussed which key requirements of repair process chains are unresolved by existing approaches. To overcome the deficits this paper introduces repair features which comprise the idea of geometric features and defines analytical auxiliary geometries based on the measurement input data. This meets challenges normally caused by working directly on reconstructed geometries in the form of triangulated surfaces which are prone to artifacts. Embedded into function blocks, this allows the use of traditional approaches for manufacturing process chains to be applied to adaptive repair process chains.

  14. Artificial Neural Networks and Gene Expression Programing based age estimation using facial features

    Directory of Open Access Journals (Sweden)

    Baddrud Z. Laskar


    Full Text Available This work is about estimating human age automatically through analysis of facial images. It has got a lot of real-world applications. Due to prompt advances in the fields of machine vision, facial image processing, and computer graphics, automatic age estimation via faces in computer is one of the dominant topics these days. This is due to widespread real-world applications, in areas of biometrics, security, surveillance, control, forensic art, entertainment, online customer management and support, along with cosmetology. As it is difficult to estimate the exact age, this system is to estimate a certain range of ages. Four sets of classifications have been used to differentiate a person’s data into one of the different age groups. The uniqueness about this study is the usage of two technologies i.e., Artificial Neural Networks (ANN and Gene Expression Programing (GEP to estimate the age and then compare the results. New methodologies like Gene Expression Programing (GEP have been explored here and significant results were found. The dataset has been developed to provide more efficient results by superior preprocessing methods. This proposed approach has been developed, tested and trained using both the methods. A public data set was used to test the system, FG-NET. The quality of the proposed system for age estimation using facial features is shown by broad experiments on the available database of FG-NET.

  15. Initial experience with a risk-sharing in vitro fertilization-embryo transfer program with novel features. (United States)

    Stassart, Jacques P; Bayless, Romaine B; Casey, Colleen L; Phipps, William R


    To describe outcomes of the first 100 consecutive infertility patients participating in a risk-sharing program with uncomplicated eligibility requirements. The program included the costs of FSH-containing gonadotropin preparations and provided a full payment refund if no birth occurred that resulted in a normal infant surviving to an age of 1 month. Retrospective cohort study. Private IVF center. Infertility patientsrisk-sharing program with uncomplicated eligibility requirements are very likely to have a successful pregnancy. Other centers may wish to incorporate some of the described program's features into their own risk-sharing IVF programs. Copyright © 2011. Published by Elsevier Inc.

  16. On-Going Research at Slippery Rock University. (United States)

    Chase, Craig


    Summarizes eight research studies in the field of outdoor/environmental education being completed at Slippery Rock University in 1985. Topics include isolation among National Park Service rangers, school participation in recycling programs, the use of trees to modify microclimates in West African urban centers, and evaluation of environmental…

  17. Revealing metabolite biomarkers for acupuncture treatment by linear programming based feature selection. (United States)

    Wang, Yong; Wu, Qiao-Feng; Chen, Chen; Wu, Ling-Yun; Yan, Xian-Zhong; Yu, Shu-Guang; Zhang, Xiang-Sun; Liang, Fan-Rong


    Acupuncture has been practiced in China for thousands of years as part of the Traditional Chinese Medicine (TCM) and has gradually accepted in western countries as an alternative or complementary treatment. However, the underlying mechanism of acupuncture, especially whether there exists any difference between varies acupoints, remains largely unknown, which hinders its widespread use. In this study, we develop a novel Linear Programming based Feature Selection method (LPFS) to understand the mechanism of acupuncture effect, at molecular level, by revealing the metabolite biomarkers for acupuncture treatment. Specifically, we generate and investigate the high-throughput metabolic profiles of acupuncture treatment at several acupoints in human. To select the subsets of metabolites that best characterize the acupuncture effect for each meridian point, an optimization model is proposed to identify biomarkers from high-dimensional metabolic data from case and control samples. Importantly, we use nearest centroid as the prototype to simultaneously minimize the number of selected features and the leave-one-out cross validation error of classifier. We compared the performance of LPFS to several state-of-the-art methods, such as SVM recursive feature elimination (SVM-RFE) and sparse multinomial logistic regression approach (SMLR). We find that our LPFS method tends to reveal a small set of metabolites with small standard deviation and large shifts, which exactly serves our requirement for good biomarker. Biologically, several metabolite biomarkers for acupuncture treatment are revealed and serve as the candidates for further mechanism investigation. Also biomakers derived from five meridian points, Zusanli (ST36), Liangmen (ST21), Juliao (ST3), Yanglingquan (GB34), and Weizhong (BL40), are compared for their similarity and difference, which provide evidence for the specificity of acupoints. Our result demonstrates that metabolic profiling might be a promising method to

  18. Digital compared to screen-film mammography: breast cancer prognostic features in an organized screening program. (United States)

    Prummel, Maegan V; Done, Susan J; Muradali, Derek; Majpruz, Vicky; Brown, Patrick; Jiang, Hedy; Shumak, Rene S; Yaffe, Martin J; Holloway, Claire M B; Chiarelli, Anna M


    Our previous study found cancer detection rates were equivalent for direct radiography compared to screen-film mammography, while rates for computed radiography were significantly lower. This study compares prognostic features of invasive breast cancers by type of mammography. Approved by the University of Toronto Research Ethics Board, this study identified invasive breast cancers diagnosed among concurrent cohorts of women aged 50-74 screened by direct radiography, computed radiography, or screen-film mammography from January 1, 2008 to December 31, 2009. During the study period, 816,232 mammograms were performed on 668,418 women, and 3,323 invasive breast cancers were diagnosed. Of 2,642 eligible women contacted, 2,041 participated (77.3 %). The final sample size for analysis included 1,405 screen-detected and 418 interval cancers (diagnosed within 24 months of a negative screening mammogram). Polytomous logistic regression was performed to evaluate the association between tumour characteristics and type of mammography, and between tumour characteristics and detection method. Odds ratios (OR) and 95 % confidence intervals (CI) were recorded. Cancers detected by computed radiography compared to screen-film mammography were significantly more likely to be lymph node positive (OR 1.94, 95 %CI 1.01-3.73) and have higher stage (II:I, OR 2.14, 95 %CI 1.11-4.13 and III/IV:I, OR 2.97, 95 %CI 1.02-8.59). Compared to screen-film mammography, significantly more cancers detected by direct radiography (OR 1.64, 95 %CI 1.12-2.38) were lymph node positive. Interval cancers had worse prognostic features compared to screen-detected cancers, irrespective of mammography type. Screening with computed radiography may lead to the detection of cancers with a less favourable stage distribution compared to screen-film mammography that may reflect a delayed diagnosis. Screening programs should re-evaluate their use of computed radiography for breast screening.

  19. Understanding Legacy Features with Featureous

    DEFF Research Database (Denmark)

    Olszak, Andrzej; Jørgensen, Bo Nørregaard


    Feature-centric comprehension of source code is essential during software evolution. However, such comprehension is oftentimes difficult to achieve due the discrepancies between structural and functional units of object-oriented programs. We present a tool for feature-centric analysis of legacy...... Java programs called Featureous that addresses this issue. Featureous allows a programmer to easily establish feature-code traceability links and to analyze their characteristics using a number of visualizations. Featureous is an extension to the NetBeans IDE, and can itself be extended by third...

  20. Multi-task feature selection in microarray data by binary integer programming


    Lan, Liang; Vucetic, Slobodan


    A major challenge in microarray classification is that the number of features is typically orders of magnitude larger than the number of examples. In this paper, we propose a novel feature filter algorithm to select the feature subset with maximal discriminative power and minimal redundancy by solving a quadratic objective function with binary integer constraints. To improve the computational efficiency, the binary integer constraints are relaxed and a low-rank approximation to the quadratic ...

  1. A method of evolving novel feature extraction algorithms for detecting buried objects in FLIR imagery using genetic programming (United States)

    Paino, A.; Keller, J.; Popescu, M.; Stone, K.


    In this paper we present an approach that uses Genetic Programming (GP) to evolve novel feature extraction algorithms for greyscale images. Our motivation is to create an automated method of building new feature extraction algorithms for images that are competitive with commonly used human-engineered features, such as Local Binary Pattern (LBP) and Histogram of Oriented Gradients (HOG). The evolved feature extraction algorithms are functions defined over the image space, and each produces a real-valued feature vector of variable length. Each evolved feature extractor breaks up the given image into a set of cells centered on every pixel, performs evolved operations on each cell, and then combines the results of those operations for every cell using an evolved operator. Using this method, the algorithm is flexible enough to reproduce both LBP and HOG features. The dataset we use to train and test our approach consists of a large number of pre-segmented image "chips" taken from a Forward Looking Infrared Imagery (FLIR) camera mounted on the hood of a moving vehicle. The goal is to classify each image chip as either containing or not containing a buried object. To this end, we define the fitness of a candidate solution as the cross-fold validation accuracy of the features generated by said candidate solution when used in conjunction with a Support Vector Machine (SVM) classifier. In order to validate our approach, we compare the classification accuracy of an SVM trained using our evolved features with the accuracy of an SVM trained using mainstream feature extraction algorithms, including LBP and HOG.

  2. Key Features of Management of Technology (MoT) Undergraduate Program in Malaysia (United States)

    Shamsuddin, Alina; Abdullah, Nor Hazana; Wahab, Eta


    Management of Technology (MoT) Education is growing both in numbers and importance. There are more than 200 universities in the world that are offering MoT programs. However, these universities have taken different approaches with respect to the names and designs of the programs. In Malaysia, some of the programs are known as Technology…

  3. Exploring the Unique Features of a First Nations Graduate-Level Social Work Program

    Directory of Open Access Journals (Sweden)

    Ralph C. Bodor


    Full Text Available Recently, a one-time cohort of graduate-level social work students completed a unique MSW program. The program was delivered in partnership between the Faculty of Social Work, University of Calgary and Blue Quills First Nations College and, of the twenty four graduates; twenty-one were of First Nations or Me´tis ancestry. The program honored traditional knowledge and ways of learning combined with a critical analysis of Western perspectives of social work knowledge. Strong fiscal resources enabled the program to establish a formal support network for the students and to support the development of Indigenous curriculum and programming that encouraged success for the students. The program was fundamentally different than urban on-campus programs while still maintaining graduate level accreditation requirements. This analysis of the program required the use of Indigenous Research Methodology to collect and create an understanding of the program. Instructors commented on the centered, empowered, balanced, and congruent students. The formal and informal, concrete and invisible supports to the students ensured the success of this program and this cohort of students. As one student commented, the program started in ceremony, ended in ceremony, and could not fail within the context ceremony.

  4. Discriminant Feature Selection by Genetic Programming: Towards a domain independent multi-class object detection system.

    Directory of Open Access Journals (Sweden)

    Jacques-André Landry


    Full Text Available In order to implement a multi-class object detection system, an efficient object representation is needed; in this short paper, we present a feature selection method based on the Genetic Algorithm paradigm. This method allows for the identification of a set of features that best represent the classes in the problem at hand. The idea would then be to have a broad set of features to describe any object, and then to use the presented feature selection method to adapt the description to the actual needs of the classification problem. Furthermore, the tree like solutions generated by the method can be interpreted and modified for increased generality. A brief review of literature, the first implementation of the method and the first results are presented here. The method shows potential to be used as a building block of a detection system, although further experimentation is underway in order to fully asses the power of the method.

  5. Automated identification of protein-ligand interaction features using Inductive Logic Programming: a hexose binding case study

    Directory of Open Access Journals (Sweden)

    A Santos Jose C


    Full Text Available Abstract Background There is a need for automated methods to learn general features of the interactions of a ligand class with its diverse set of protein receptors. An appropriate machine learning approach is Inductive Logic Programming (ILP, which automatically generates comprehensible rules in addition to prediction. The development of ILP systems which can learn rules of the complexity required for studies on protein structure remains a challenge. In this work we use a new ILP system, ProGolem, and demonstrate its performance on learning features of hexose-protein interactions. Results The rules induced by ProGolem detect interactions mediated by aromatics and by planar-polar residues, in addition to less common features such as the aromatic sandwich. The rules also reveal a previously unreported dependency for residues cys and leu. They also specify interactions involving aromatic and hydrogen bonding residues. This paper shows that Inductive Logic Programming implemented in ProGolem can derive rules giving structural features of protein/ligand interactions. Several of these rules are consistent with descriptions in the literature. Conclusions In addition to confirming literature results, ProGolem’s model has a 10-fold cross-validated predictive accuracy that is superior, at the 95% confidence level, to another ILP system previously used to study protein/hexose interactions and is comparable with state-of-the-art statistical learners.

  6. Utilisation of Perkin-Elmer Operating System Features to Optimise Programming Efficiency


    Gray, L.S.; Morris, A.S.


    This paper consists of printed notes given as the first lecture of a two-part special lecture course on efficient programming. Emphasis is laid on on efficient programming in relation to the hardware and operating system of the Perkin-Elmer 3220 computer, although the principles embodied are in general, universally applicable. The functioning of the operating system and its interaction with the hardware of the computer is explained in considerable detail, as this is felt a necessary prerequis...

  7. The Identification, Implementation, and Evaluation of Critical User Interface Design Features of Computer-Assisted Instruction Programs in Mathematics for Students with Learning Disabilities (United States)

    Seo, You-Jin; Woo, Honguk


    Critical user interface design features of computer-assisted instruction programs in mathematics for students with learning disabilities and corresponding implementation guidelines were identified in this study. Based on the identified features and guidelines, a multimedia computer-assisted instruction program, "Math Explorer", which delivers…

  8. Making automated computer program documentation a feature of total system design (United States)

    Wolf, A. W.


    It is pointed out that in large-scale computer software systems, program documents are too often fraught with errors, out of date, poorly written, and sometimes nonexistent in whole or in part. The means are described by which many of these typical system documentation problems were overcome in a large and dynamic software project. A systems approach was employed which encompassed such items as: (1) configuration management; (2) standards and conventions; (3) collection of program information into central data banks; (4) interaction among executive, compiler, central data banks, and configuration management; and (5) automatic documentation. A complete description of the overall system is given.

  9. Program of Adaptation Assistance in Foster Families and Particular Features of Its Implementation (United States)

    Zakirova, Venera G.; Gaysina, Guzel I.; Zhumabaeva, Asia


    Relevance of the problem stated in the article, conditioned by the fact that the successful adaptation of orphans in a foster family requires specialized knowledge and skills, as well as the need of professional support. Therefore, this article aims at substantiation of the effectiveness of the developed pilot program psycho-pedagogical support of…

  10. Swift/XRT observation of the on-going outburst from Terzan 6 (United States)

    Bozzo, E.; Sanna, A.


    Following the discovery of an on-going outburst from the direction of the Globular Cluster Terzan 6 (ATel #10832), a Swift/XRT ToO in PC mode has been requested in order to improve the X-ray position and confirm the possibility that the new outburst is from the known low mass X-ray binary GRS 1747-312.

  11. A Design Case Featuring the Graduate Design Studio at Indiana University Bloomington’s Human-Computer Interaction Design Program

    Directory of Open Access Journals (Sweden)

    Matthew Callison


    Full Text Available In this article the author illustrates the design of a physical space that was created to serve as a performance intervention for graduate students in the Human-Computer Interaction Design (HCId program in the School of Informatics, Indiana University Bloomington. Opened in Fall 2010, the HCId Graduate Design Studio was designed to help facilitate collaboration between students and faculty in the HCId Program. An effort was made to document the Studio and students working in the Studio over an extended period of time. The author visited the Design Studio a minimum of ten times between late January and late April 2011. Visits were conducted on different days of the week (Monday - Friday and at different times of the day to capture a variety of students and activity level in the Studio. In order to gain a perspective on the two distinct groups of students who utilize the Studio, interviews of graduate students from both the HCId Master of Science and Doctoral program were conducted. In addition interviews were conducted of two other important stakeholders, the HCId Program Director and the Director of Facilities for the School of Informatics, both of whom were heavily involved in the design of the Studio. Through faculty and student interviews, text descriptions, photographs, and audio and video recordings this article addresses the design features and their impact, both successful and unsuccessful, on student and faculty collaboration of the HCId Graduate Design Studio.

  12. Low-level feature extraction for edge detection using genetic programming. (United States)

    Fu, Wenlong; Johnston, Mark; Zhang, Mengjie


    Edge detection is a subjective task. Traditionally, a moving window approach is used, but the window size in edge detection is a tradeoff between localization accuracy and noise rejection. An automatic technique for searching a discriminated pixel's neighbors to construct new edge detectors is appealing to satisfy different tasks. In this paper, we propose a genetic programming (GP) system to automatically search pixels (a discriminated pixel and its neighbors) to construct new low-level subjective edge detectors for detecting edges in natural images, and analyze the pixels selected by the GP edge detectors. Automatically searching pixels avoids the problem of blurring edges from a large window and noise influence from a small window. Linear and second-order filters are constructed from the pixels with high occurrences in these GP edge detectors. The experiment results show that the proposed GP system has good performance. A comparison between the filters with the pixels selected by GP and all pixels in a fixed window indicates that the set of pixels selected by GP is compact but sufficiently rich to construct good edge detectors.

  13. A review of the safety features of 6M packagings for DOE programs

    Energy Technology Data Exchange (ETDEWEB)


    This report, prepared by a US Department of Energy (DOE) Task Force and organized for clarity into two-page modules, argues that the US Department of Transportation (DOT) Specification-6M packagings (hereafter referred to as 6M packaging, or simply 6M) merit continued DOE use and, if necessary, DOE certification. This report is designed to address the specific requirements of a Safety Analysis Report for Packaging (SARP). While not a SARP, this report constitutes a compilation of all available documentation on 6M packagings. The authors individually, and the Task Force collectively, believe their investigation provides justification for the continued use of 6M packagings because they meet criteria for quality assurance and for safety under normal and accident conditions as defined by the US Nuclear Regulatory Commission (NRC) regulations. This report may be used by DOE managers to assist in deliberations on future requirements for 6M packagings as they are required to support DOE programs. For the purpose of ready evaluation, this report includes categorical topics found in Nuclear Regulatory Guide 7.9, the topical guideline for SARPs. The format, however, will (it is hoped) pleasantly surprise customary reader expectations. For, while maintaining categorical headings and subheadings found in SARPs as a skeleton, the Task Force chose to adopt the document design principles developed by Hughes Aircraft in the 1960s, ''Sequential Thematic Organization of Publications'' (STOP). 37 figs.

  14. Association between U.S. state AIDS Drug Assistance Program (ADAP features and HIV antiretroviral therapy initiation, 2001-2009.

    Directory of Open Access Journals (Sweden)

    David B Hanna

    Full Text Available U.S. state AIDS Drug Assistance Programs (ADAPs are federally funded to provide antiretroviral therapy (ART as the payer of last resort to eligible persons with HIV infection. States differ regarding their financial contributions to and ways of implementing these programs, and it remains unclear how this interstate variability affects HIV treatment outcomes.We analyzed data from HIV-infected individuals who were clinically-eligible for ART between 2001 and 2009 (i.e., a first reported CD4+ <350 cells/uL or AIDS-defining illness from 14 U.S. cohorts of the North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD. Using propensity score matching and Cox regression, we assessed ART initiation (within 6 months following eligibility and virologic suppression (within 1 year based on differences in two state ADAP features: the amount of state funding in annual ADAP budgets and the implementation of waiting lists. We performed an a priori subgroup analysis in persons with a history of injection drug use (IDU.Among 8,874 persons, 56% initiated ART within six months following eligibility. Persons living in states with no additional state contribution to the ADAP budget initiated ART on a less timely basis (hazard ratio [HR] 0.73, 95% CI 0.60-0.88. Living in a state with an ADAP waiting list was not associated with less timely initiation (HR 1.12, 95% CI 0.87-1.45. Neither additional state contributions nor waiting lists were significantly associated with virologic suppression. Persons with an IDU history initiated ART on a less timely basis (HR 0.67, 95% CI 0.47-0.95.We found that living in states that did not contribute additionally to the ADAP budget was associated with delayed ART initiation when treatment was clinically indicated. Given the changing healthcare environment, continued assessment of the role of ADAPs and their features that facilitate prompt treatment is needed.

  15. NASA's Earth Observing System Data and Information System - Many Mechanisms for On-Going Evolution (United States)

    Ramapriyan, H. K.


    number of software tools tailored to their respective user communities. Web services play an important part in improved access to data products including some basic analysis and visualization capabilities. A coherent view into all capabilities available from EOSDIS is evolving through the "Coherent Web" effort. Data are being made available in near real-time for scientific research as well as time-critical applications. On-going community inputs for infusion for maintaining vitality of EOSDIS come from technology developments by NASA-sponsored community data system programs - Advancing Collaborative Connections for Earth System Science (ACCESS), Making Earth System Data Records for Use in Research Environments (MEaSUREs) and Applied Information System Technology (AIST), as well as participation in Earth Science Data System Working Groups, the Earth Science Information Partners Federation and other interagency/international activities. An important source of community needs is the annual American Customer Satisfaction Index survey of EOSDIS users. Some of the key areas in which improvements are required and incremental progress is being made are: ease of discovery and access; cross-organizational interoperability; data inter-use; ease of collaboration; ease of citation of datasets; preservation of provenance and context and making them conveniently available to users.

  16. Inflammatory myositis complicating hypocomplementemic urticarial vasculitis despite on-going immunosuppression. (United States)

    Chew, Gary Y J; Gatenby, Paul A


    We present a patient with previously diagnosed hypocomplementemic urticarial vasculitis syndrome, with skin, lung, and renal involvement, who presented with congestive cardiac failure. During the course of her hospitalization, she was also found to have profound proximal muscle weakness in both upper and lower limbs associated with raised creatinine kinase levels. A muscle biopsy was performed, which demonstrated evidence of an inflammatory myositis with vasculitis, which had returned despite on-going immunosuppression. This occurrence of a new autoimmune disease may well be an example of the "waste disposal" hypothesis.

  17. Association between U.S. State AIDS Drug Assistance Program (ADAP) Features and HIV Antiretroviral Therapy Initiation, 2001–2009 (United States)

    Hanna, David B.; Buchacz, Kate; Gebo, Kelly A.; Hessol, Nancy A.; Horberg, Michael A.; Jacobson, Lisa P.; Kirk, Gregory D.; Kitahata, Mari M.; Korthuis, P. Todd; Moore, Richard D.; Napravnik, Sonia; Patel, Pragna; Silverberg, Michael J.; Sterling, Timothy R.; Willig, James H.; Collier, Ann; Samji, Hasina; Thorne, Jennifer E.; Althoff, Keri N.; Martin, Jeffrey N.; Rodriguez, Benigno; Stuart, Elizabeth A.; Gange, Stephen J.


    Background U.S. state AIDS Drug Assistance Programs (ADAPs) are federally funded to provide antiretroviral therapy (ART) as the payer of last resort to eligible persons with HIV infection. States differ regarding their financial contributions to and ways of implementing these programs, and it remains unclear how this interstate variability affects HIV treatment outcomes. Methods We analyzed data from HIV-infected individuals who were clinically-eligible for ART between 2001 and 2009 (i.e., a first reported CD4+ <350 cells/uL or AIDS-defining illness) from 14 U.S. cohorts of the North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD). Using propensity score matching and Cox regression, we assessed ART initiation (within 6 months following eligibility) and virologic suppression (within 1 year) based on differences in two state ADAP features: the amount of state funding in annual ADAP budgets and the implementation of waiting lists. We performed an a priori subgroup analysis in persons with a history of injection drug use (IDU). Results Among 8,874 persons, 56% initiated ART within six months following eligibility. Persons living in states with no additional state contribution to the ADAP budget initiated ART on a less timely basis (hazard ratio [HR] 0.73, 95% CI 0.60–0.88). Living in a state with an ADAP waiting list was not associated with less timely initiation (HR 1.12, 95% CI 0.87–1.45). Neither additional state contributions nor waiting lists were significantly associated with virologic suppression. Persons with an IDU history initiated ART on a less timely basis (HR 0.67, 95% CI 0.47–0.95). Conclusions We found that living in states that did not contribute additionally to the ADAP budget was associated with delayed ART initiation when treatment was clinically indicated. Given the changing healthcare environment, continued assessment of the role of ADAPs and their features that facilitate prompt treatment is needed. PMID:24260137

  18. An Investigation of Non-Thesis Master's Program Geography Teacher Candidates' Attitudes towards Teaching Profession regarding Several Socio-Cultural Features (United States)

    Sezer, Adem; Kara, Hasan; Pinar, Adnan


    The purpose of this study is to examine the attitudes of non-thesis master's degree program: geography teacher candidates towards teaching profession regarding several socio-cultural features. The study was conducted in different universities with 218 geography teacher candidates enrolled in the geography education non-thesis master's degree…

  19. Features of parallel processing of Russian language content using the basic characteristics of object-oriented high-level programming languages

    Directory of Open Access Journals (Sweden)

    Дмитрий Евгеньевич Кошкин


    Full Text Available The article discusses the general features which are traceable in the Russian language and high-level programming languages, and offers an approach to identify the relationship between words in a sentence and proposals within the text. A matter may be interesting in terms of automatic semantic analysis of texts and for the systems of automatic translation.

  20. On-Going Laboratory Efforts to Quantitatively Address Clay Abundance on Mars (United States)

    Roush, Ted L.; Bishop, Janice L.; Brown, Adrian J.; Blake, David F.; Bristow, Thomas F.


    Data obtained at visible and near-infrared wavelengths by OMEGA on MarsExpress and CRISM on MRO provide definitive evidence for the presence of phyllosilicates and other hydrated phases on Mars. A diverse range of both Fe/Mg-OH and Al-OH-bearing phyllosilicates were identified including the smectites, nontronite, saponite, and montmorillonite. In order to constrain the abundances of these phyllosilicates spectral analyses of mixtures are needed. We report on our on-going effort to enable the quantitative evaluation of the abundance of hydrated-hydroxylated silicates when they are contained in mixtures. We include two component mixtures of hydrated/hydroxylated silicates with each other and with two analogs for other martian materials; pyroxene (enstatite) and palagonitic soil (an alteration product of basaltic glass). For the hydrated-hydroxylated silicates we include saponite and montmorillonite (Mg- and Al- rich smectites). We prepared three size separates of each end-member for study: 20-45, 63-90, and 125-150 µm. As the second phase of our effort we used scanning electron microscopy imaging and x-ray diffraction to characterize the grain size distribution, and structural nature, respectively, of the mixtures. Visible and near-infrared reflectance spectra of the 63-90 micrometers grain size of the mixture samples are shown in Figure 1. We discuss the results of our measurements of these mixtures.

  1. Genetic Programming and Frequent Itemset Mining to Identify Feature Selection Patterns of iEEG and fMRI Epilepsy Data. (United States)

    Smart, Otis; Burrell, Lauren


    Pattern classification for intracranial electroencephalogram (iEEG) and functional magnetic resonance imaging (fMRI) signals has furthered epilepsy research toward understanding the origin of epileptic seizures and localizing dysfunctional brain tissue for treatment. Prior research has demonstrated that implicitly selecting features with a genetic programming (GP) algorithm more effectively determined the proper features to discern biomarker and non-biomarker interictal iEEG and fMRI activity than conventional feature selection approaches. However for each the iEEG and fMRI modalities, it is still uncertain whether the stochastic properties of indirect feature selection with a GP yield (a) consistent results within a patient data set and (b) features that are specific or universal across multiple patient data sets. We examined the reproducibility of implicitly selecting features to classify interictal activity using a GP algorithm by performing several selection trials and subsequent frequent itemset mining (FIM) for separate iEEG and fMRI epilepsy patient data. We observed within-subject consistency and across-subject variability with some small similarity for selected features, indicating a clear need for patient-specific features and possible need for patient-specific feature selection or/and classification. For the fMRI, using nearest-neighbor classification and 30 GP generations, we obtained over 60% median sensitivity and over 60% median selectivity. For the iEEG, using nearest-neighbor classification and 30 GP generations, we obtained over 65% median sensitivity and over 65% median selectivity except one patient.

  2. Geocomputation over Hybrid Computer Architecture and Systems: Prior Works and On-going Initiatives at UARK (United States)

    Shi, X.


    infrastructure remains unexplored in this domain. Within this presentation, our prior and on-going initiatives will be summarized to exemplify how we exploit multicore CPUs, GPUs, and MICs, and clusters of CPUs, GPUs and MICs, to accelerate geocomputation in different applications.

  3. Brain responses to language-relevant musical features in adolescent cochlear implant users before and after an intensive music training program

    DEFF Research Database (Denmark)

    Petersen, Bjørn; Weed, Ethan; Hansen, Mads

    Brain responses to language-relevant musical features in adolescent cochlear implant users before and after an intensive music training program Petersen B.1,2, Weed E.1,3, Hansen M.1,4, Sørensen S.D.3 , Sandmann P.5 , Vuust P.1,2 1Center of Functionally Integrative Neuroscience, Aarhus University...... musical training. The finding points toward the possibility of improving appreciation of music in general for adolescent CI users, and using music as a motivating element in speech therapy programs....


    Directory of Open Access Journals (Sweden)

    D. A. Starunskaya


    Full Text Available Importance. The study of psychological characteristics of patients is important for the creation and planning of psychological correction and improve the efficiency of the treatment of coronary heart disease.Тhe purpose. This research is devoted to the study of the psychological features in patients with coronary artery disease (CHD in the preoperative period, depending on their involvement in psycho-correction program.Material and methods. We observed 30 patients with coronary heart disease before coronary bypass surgery. Clinical-psychological method (observation, conversation and psychological testing were used.Results  and conclusions. We found that patients who participated in psycho-correction program had lower values of «anxiety», «phobic anxiety» and «obsessive-compulsive» symptoms. In both groups of patients, on average, we identified the prevalence  of the coping-strategies «self-control» and «planning solution». Furthermore, on average, the «self-awareness» and «extraversion» were more manifested features in the structure of the personality traits of the surveyed patients. The revealed features should be taken into account in planning the programs of psycho-correction for patients with CHD prior to CABG surgery.

  5. Distinguishing carcinoid tumor from small cell carcinoma of the lung: correlating cytologic features and performance in the College of American Pathologists Non-Gynecologic Cytology Program. (United States)

    Renshaw, Andrew A; Haja, Jennifer; Lozano, Richard L; Wilbur, David C


    The cytologic features of carcinoid tumor of the lung are well described. Nevertheless, some carcinoids may be difficult to distinguish from small cell carcinomas. To correlate the cytologic features of individual cases of carcinoid tumor of the lung in fine-needle aspiration specimens in the College of American Pathologists Non-Gynecologic Cytology Program with the frequency of misclassification as small cell carcinoma. We reviewed 1100 interpretations from 26 different cases of carcinoid tumor in lung fine-needle aspiration specimens in the College of American Pathologists Non-Gynecologic Cytology Program and correlated the cytologic features with the performance in the program. Cases were divided into those that were frequently misclassified as small cell carcinoma (at least 20% of the responses, 19 cases) and those that were infrequently misclassified as small cell carcinoma (cytologic features that might be responsible for misclassification as small cell carcinoma. All 7 cases that were infrequently misclassified consisted of numerous monotonous well-preserved tumor cells that were either entirely round or were a mixture of round and spindle-shaped cells. Six of 7 cases showed a prominent streaming vascular pattern with tumor cells attached to the endothelial cell core. In contrast, cases that were frequently misclassified had 1 of 6 patterns that were not seen in cases that were rarely misclassified. These 6 patterns were: (1) poorly preserved and pale-staining cells with fine chromatin and a suggestion of molding (5 cases); (2) numerous large, well-preserved, spindle-shaped cells (2 cases); (3) numerous cells varying markedly in both size and shape (both round and spindle-shaped cells), with a common finding of degenerated, smudgy, small round and spindle-shaped cells (9 cases); (4) hypocellular specimens (8 cases); (5) obscuration of cells by blood (2 cases); and (6) tumor cells present predominantly in groups, with few isolated cells (8 cases). In none of

  6. Efficacy of standard versus enhanced features in a Web-based commercial weight-loss program for obese adults, part 2: randomized controlled trial. (United States)

    Collins, Clare E; Morgan, Philip J; Hutchesson, Melinda J; Callister, Robin


    Commercial Web-based weight-loss programs are becoming more popular and increasingly refined through the addition of enhanced features, yet few randomized controlled trials (RCTs) have independently and rigorously evaluated the efficacy of these commercial programs or additional features. To determine whether overweight and obese adults randomized to an online weight-loss program with additional support features (enhanced) experienced a greater reduction in body mass index (BMI) and increased usage of program features after 12 and 24 weeks compared to those randomized to a standard online version (basic). An assessor-blinded RCT comparing 301 adults (male: n=125, 41.5%; mean age: 41.9 years, SD 10.2; mean BMI: 32.2 kg/m(2), SD 3.9) who were recruited and enrolled offline, and randomly allocated to basic or enhanced versions of a commercially available Web-based weight-loss program for 24 weeks. Retention at 24 weeks was greater in the enhanced group versus the basic group (basic 68.5%, enhanced 81.0%; P=.01). In the intention-to-treat analysis of covariance with imputation using last observation carried forward, after 24 weeks both intervention groups had reductions in key outcomes with no difference between groups: BMI (basic mean -1.1 kg/m(2), SD 1.5; enhanced mean -1.3 kg/m(2), SD 2.0; P=.29), weight (basic mean -3.3 kg, SD 4.7; enhanced mean -4.0 kg, SD 6.2; P=.27), waist circumference (basic mean -3.1 cm, SD 4.6; enhanced mean -4.0 cm, SD 6.2; P=.15), and waist-to-height ratio (basic mean -0.02, SD 0.03; enhanced mean -0.02, SD 0.04, P=.21). The enhanced group logged in more often at both 12 and 24 weeks, respectively (enhanced 12-week mean 34.1, SD 28.1 and 24-week mean 43.1, SD 34.0 vs basic 12-week mean 24.6, SD 25.5 and 24-week mean 31.8, SD 33.9; P=.002). The addition of personalized e-feedback in the enhanced program provided limited additional benefits compared to a standard commercial Web-based weight-loss program. However, it does support greater

  7. A 12-week commercial web-based weight-loss program for overweight and obese adults: randomized controlled trial comparing basic versus enhanced features. (United States)

    Collins, Clare E; Morgan, Philip J; Jones, Penelope; Fletcher, Kate; Martin, Julia; Aguiar, Elroy J; Lucas, Ashlee; Neve, Melinda J; Callister, Robin


    The development and use of Web-based programs for weight loss is increasing rapidly, yet they have rarely been evaluated using randomized controlled trials (RCTs). Interestingly, most people who attempt weight loss use commercially available programs, yet it is very uncommon for commercial programs to be evaluated independently or rigorously. To compare the efficacy of a standard commercial Web-based weight-loss program (basic) versus an enhanced version of this Web program that provided additional personalized e-feedback and contact from the provider (enhanced) versus a wait-list control group (control) on weight outcomes in overweight and obese adults. This purely Web-based trial using a closed online user group was an assessor-blinded RCT with participants randomly allocated to the basic or enhanced 12-week Web-based program, based on social cognitive theory, or the control, with body mass index (BMI) as the primary outcome. We enrolled 309 adults (129/309, 41.8% male, BMI mean 32.3, SD 4 kg/m(2)) with 84.1% (260/309) retention at 12 weeks. Intention-to-treat analysis showed that both intervention groups reduced their BMI compared with the controls (basic: -0.72, SD 1.1 kg/m(2), enhanced: -1.0, SD 1.4, control: 0.15, SD 0.82; P Web-based weight-loss program can be efficacious across a range of weight-related outcomes and lifestyle behaviors and achieve clinically important weight loss. Although the provision of additional personalized feedback did not facilitate greater weight loss after 12 weeks, the impact of superior participant retention on longer-term outcomes requires further study. Further research is required to determine the optimal mix of program features that lead to the biggest treatment impact over time. Australian New Zealand Clinical Trials Registry (ANZCTR): 12610000197033.

  8. A Study in Speech Recognition Using a Kohonen Neural Network Dynamic Programming and Multi-Feature Fusion (United States)


    FEATURE FUSION THESIS Presented to the Faculty of the School of Engineering of the Air Force Institute of Technology Air University In Partial...years of schooling . Because of her sacrifice and understanding, I was able to fulfill many personal dreams. Wayne F. Recla AossionFo TIS GRA&f’- DTIC...where: 42 LINEAR / EXPONENTIAL Example Gain Graph Gaia Value 0.1 0.08 0.04 0.02 S󈧎 20 30 40 80 so 70 so 90 100 Training Iterations (x 1000) - Linea

  9. Behavioral and Neurological Responses to Musical Features in Adolescent Cochlear Implant Users Before and After an Intensive Musical Training Program

    DEFF Research Database (Denmark)

    Petersen, Bjørn

    This study aimed to investigate perception and processing of musical features in prelingually deaf adolescent CI-users and examine whether this is influenced by music training. Eleven adolescent CI-users received intensive music training for two weeks. Before and after training they completed...... responses for timbre, intensity and rhythm but not for pitch. No effect of training was found in the MMN responses. The findings indicate that despite congenital deafness and late implantation, young CI users are able to discriminate details in music. Furthermore, the behavioral advances suggest that......, in a wider perspective, music training may serve as a supplementary measure of rehabilitation....

  10. Biological research on burnout-depression overlap: Long-standing limitations and on-going reflections. (United States)

    Bianchi, Renzo; Schonfeld, Irvin Sam; Laurent, Eric


    In this commentary, we discuss seldom-noticed methodological problems affecting biological research on burnout and depression and make recommendations to overcome the limitations of past studies conducted in this area. First, we suggest that identified subtypes of depression (e.g., depression with melancholic features and depression with atypical features) should be taken into account in future biological research on burnout and depression, given that different subtypes of depression have been associated with distinct autonomic and neuroendocrine profiles. Second, we underline that research on burnout-depression overlap is made difficult by the absence of a consensual conceptualization and operationalization of burnout. In order to resolve this problem, we draw researchers' attention to the urgency of establishing a commonly shared, clinically valid diagnosis for burnout. Finally, we question the possibility of identifying a biological signature for burnout in light of global research on burnout-depression overlap. Copyright © 2017 Elsevier Ltd. All rights reserved.

  11. A Reading Skills Development Program for Adult Non-Readers. Featuring: Supplementary Graphics and Sound (Voice Tutorials). Volumes 1 and 2. The TRS-80 Computer Assisted Instruction Series for Adult Basic Education Students. (United States)

    San Antonio State Hospital, TX. Office of Education Services.

    This instructional manual consists of materials for use in implementing a computer-assisted instructional program in reading skills development for adult nonreaders. Discussed first are the project during which this instructional program and manual were developed and the goals of the computer-assisted beginning reading program, a major feature of…

  12. Special test results evaluation features as development of “Innovations management” program - NEFU testing area as case-study (United States)

    Ermakov, A. V.; Bessmertnyy, A. M.


    This article gives an overview on the problems of precision in the results evaluation of the tests carried out in the Northern testing areas. One of the significant features of the facilities under study is that they are limited in quantity. In cases when a facility is taken down, that quantity is normally equal to one. The complexity of modern technological equipment and other circumstances require researchers to take into account and evaluate the potential risks. In order to make the sought-for estimations more precise, ways of improving the test result evaluations algorithms are suggested. In particular, one of the productive methods is the Data Mining technology, which presupposes implementing an intellectual analysis of the data with the aim of extracting useful information from the available database which was attained during the tests and other types of activities. Applying the Data Mining technology is becoming more productive when the scenario analysis is carried out, i.e., the analysis of possible alternative solutions. Another perspective trend is an implementation of an interdisciplinary approach. As a result, researchers are able to carry out a complex evaluation of the test results, which will noticeably increase the value of the given results.

  13. EEG Based Emotion Identification Using Unsupervised Deep Feature Learning


    Li, Xiang; Zhang, Peng; Song, Dawei; Yu, Guangliang; Hou, Yuexian; Hu, Bin


    Capturing user’s emotional state is an emerging way for implicit relevance feedback in information retrieval (IR). Recently, EEG-based emotion recognition has drawn increasing attention. However, a key challenge is effective learning of useful features from EEG signals. In this paper, we present our on-going work on using Deep Belief Network (DBN) to automatically extract high-level features from raw EEG signals. Our preliminary experiment on the DEAP dataset shows that the learned features p...

  14. A 12-Week Commercial Web-Based Weight-Loss Program for Overweight and Obese Adults: Randomized Controlled Trial Comparing Basic Versus Enhanced Features (United States)

    Morgan, Philip J; Jones, Penelope; Fletcher, Kate; Martin, Julia; Aguiar, Elroy J; Lucas, Ashlee; Neve, Melinda J; Callister, Robin


    Background The development and use of Web-based programs for weight loss is increasing rapidly, yet they have rarely been evaluated using randomized controlled trials (RCTs). Interestingly, most people who attempt weight loss use commercially available programs, yet it is very uncommon for commercial programs to be evaluated independently or rigorously. Objective To compare the efficacy of a standard commercial Web-based weight-loss program (basic) versus an enhanced version of this Web program that provided additional personalized e-feedback and contact from the provider (enhanced) versus a wait-list control group (control) on weight outcomes in overweight and obese adults. Methods This purely Web-based trial using a closed online user group was an assessor-blinded RCT with participants randomly allocated to the basic or enhanced 12-week Web-based program, based on social cognitive theory, or the control, with body mass index (BMI) as the primary outcome. Results We enrolled 309 adults (129/309, 41.8% male, BMI mean 32.3, SD 4 kg/m2) with 84.1% (260/309) retention at 12 weeks. Intention-to-treat analysis showed that both intervention groups reduced their BMI compared with the controls (basic: –0.72, SD 1.1 kg/m2, enhanced: –1.0, SD 1.4, control: 0.15, SD 0.82; P 3.0, SD 4.1, control: 0.4, SD 2.3; P 2.0, SD 3.5 cm, enhanced: –3.2, SD 4.7, control: 0.5, SD 3.0; P Web-based weight-loss program can be efficacious across a range of weight-related outcomes and lifestyle behaviors and achieve clinically important weight loss. Although the provision of additional personalized feedback did not facilitate greater weight loss after 12 weeks, the impact of superior participant retention on longer-term outcomes requires further study. Further research is required to determine the optimal mix of program features that lead to the biggest treatment impact over time. Trial Registration Australian New Zealand Clinical Trials Registry (ANZCTR): 12610000197033; http

  15. Preparation of Pt–GO composites with high-number-density Pt nanoparticles dispersed uniformly on GO nanosheets

    Directory of Open Access Journals (Sweden)

    Nanting Li


    Full Text Available Pt–GO composites with high-number-density Pt nanoparticles dispersed uniformly on GO nanosheets were prepared using ethylene glycol as reducer at 180 °C. The nanoparticles had an average size of 12 nm with corners and edges on their surfaces. The composites had electrochemically active surface area of 31.7 m2 g−1 with a ratio (If/Ir=0.96 of the forward anodic peak current (If to the reverse anodic peak current (Ir in cyclic voltammetry curves, which is much higher than those of the reported Pt nanodendrites/reduced graphene oxide composites.

  16. Strategic partnering to improve community health worker programming and performance: features of a community-health system integrated approach. (United States)

    Naimoli, Joseph F; Perry, Henry B; Townsend, John W; Frymus, Diana E; McCaffery, James A


    There is robust evidence that community health workers (CHWs) in low- and middle-income (LMIC) countries can improve their clients' health and well-being. The evidence on proven strategies to enhance and sustain CHW performance at scale, however, is limited. Nevertheless, CHW stakeholders need guidance and new ideas, which can emerge from the recognition that CHWs function at the intersection of two dynamic, overlapping systems - the formal health system and the community. Although each typically supports CHWs, their support is not necessarily strategic, collaborative or coordinated. We explore a strategic community health system partnership as one approach to improving CHW programming and performance in countries with or intending to mount large-scale CHW programmes. To identify the components of the approach, we drew on a year-long evidence synthesis exercise on CHW performance, synthesis records, author consultations, documentation on large-scale CHW programmes published after the synthesis and other relevant literature. We also established inclusion and exclusion criteria for the components we considered. We examined as well the challenges and opportunities associated with implementing each component. We identified a minimum package of four strategies that provide opportunities for increased cooperation between communities and health systems and address traditional weaknesses in large-scale CHW programmes, and for which implementation is feasible at sub-national levels over large geographic areas and among vulnerable populations in the greatest need of care. We postulate that the CHW performance benefits resulting from the simultaneous implementation of all four strategies could outweigh those that either the health system or community could produce independently. The strategies are (1) joint ownership and design of CHW programmes, (2) collaborative supervision and constructive feedback, (3) a balanced package of incentives, and (4) a practical monitoring

  17. G6PD deficiency: a classic example of pharmacogenetics with on-going clinical implications. (United States)

    Luzzatto, Lucio; Seneca, Elisa


    That primaquine and other drugs can trigger acute haemolytic anaemia in subjects who have an inherited mutation of the glucose 6-phosphate dehydrogenase (G6PD) gene has been known for over half a century: however, these events still occur, because when giving the drug either the G6PD status of a person is not known, or the risk of this potentially life-threatening complication is under-estimated. Here we review briefly the genetic basis of G6PD deficiency, and then the pathophysiology and the clinical features of drug-induced haemolysis; we also update the list of potentially haemolytic drugs (which includes rasburicase). It is now clear that it is not good practice to give one of these drugs before testing a person for his/her G6PD status, especially in populations in whom G6PD deficiency is common. We discuss therefore how G6PD testing can be done reconciling safety with cost; this is once again becoming of public health importance, as more countries are moving along the pathway of malaria elimination, that might require mass administration of primaquine. Finally, we sketch the triangular relationship between malaria, antimalarials such as primaquine, and G6PD deficiency: which is to some extent protective against malaria, but also a genetically determined hazard when taking primaquine. © 2013 John Wiley & Sons Ltd.

  18. {sup 18}F-FDG PET/CT heterogeneity quantification through textural features in the era of harmonisation programs: a focus on lung cancer

    Energy Technology Data Exchange (ETDEWEB)

    Lasnon, Charline [University Hospital, Nuclear Medicine Department, Caen (France); Biologie et Therapies Innovantes des Cancers Localement Agressifs, Universite de Caen Normandie, INSERM, Caen (France); Normandie University, Caen (France); Majdoub, Mohamed; Lavigne, Brice; Visvikis, Dimitris [LaTIM, INSERM UMR 1101, Brest (France); Do, Pascal [Thoracic Oncology, Francois Baclesse Cancer Centre, Caen (France); Madelaine, Jeannick [Caen University Hospital, Pulmonology Department, Caen (France); Hatt, Mathieu [LaTIM, INSERM UMR 1101, Brest (France); CHRU Morvan, INSERM UMR 1101, Laboratoire de Traitement de l' Information Medicale (LaTIM), Groupe ' Imagerie multi-modalite quantitative pour le diagnostic et la therapie' , Brest (France); Aide, Nicolas [University Hospital, Nuclear Medicine Department, Caen (France); Biologie et Therapies Innovantes des Cancers Localement Agressifs, Universite de Caen Normandie, INSERM, Caen (France); Normandie University, Caen (France); Caen University Hospital, Nuclear Medicine Department, Caen (France)


    Quantification of tumour heterogeneity in PET images has recently gained interest, but has been shown to be dependent on image reconstruction. This study aimed to evaluate the impact of the EANM/EARL accreditation program on selected {sup 18}F-FDG heterogeneity metrics. To carry out our study, we prospectively analysed 71 tumours in 60 biopsy-proven lung cancer patient acquisitions reconstructed with unfiltered point spread function (PSF) positron emission tomography (PET) images (optimised for diagnostic purposes), PSF-reconstructed images with a 7-mm Gaussian filter (PSF{sub 7}) chosen to meet European Association of Nuclear Medicine (EANM) 1.0 harmonising standards, and EANM Research Ltd. (EARL)-compliant ordered subset expectation maximisation (OSEM) images. Delineation was performed with fuzzy locally adaptive Bayesian (FLAB) algorithm on PSF images and reported on PSF{sub 7} and OSEM ones, and with a 50 % standardised uptake values (SUV){sub max} threshold (SUV{sub max50%}) applied independently to each image. Robust and repeatable heterogeneity metrics including 1st-order [area under the curve of the cumulative histogram (CH{sub AUC})], 2nd-order (entropy, correlation, and dissimilarity), and 3rd-order [high-intensity larger area emphasis (HILAE) and zone percentage (ZP)] textural features (TF) were statistically compared. Volumes obtained with SUV{sub max50%} were significantly smaller than FLAB-derived ones, and were significantly smaller in PSF images compared to OSEM and PSF{sub 7} images. PSF-reconstructed images showed significantly higher SUVmax and SUVmean values, as well as heterogeneity for CH{sub AUC}, dissimilarity, correlation, and HILAE, and a wider range of heterogeneity values than OSEM images for most of the metrics considered, especially when analysing larger tumours. Histological subtypes had no impact on TF distribution. No significant difference was observed between any of the considered metrics (SUV or heterogeneity features) that we

  19. Solar Features (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Collection includes a variety of solar feature datasets contributed by a number of national and private solar observatories located worldwide.

  20. Site Features (United States)

    U.S. Environmental Protection Agency — This dataset consists of various site features from multiple Superfund sites in U.S. EPA Region 8. These data were acquired from multiple sources at different times...

  1. Feature Extraction

    CERN Multimedia

    CERN. Geneva


    Feature selection and reduction are key to robust multivariate analyses. In this talk I will focus on pros and cons of various variable selection methods and focus on those that are most relevant in the context of HEP.

  2. High-Resolution Studies of Oceanic Spreading Center Volcanic and Hydrothermal Features and Processes - New Insights from Ridge 2000 Program Experiments (United States)

    Fornari, D. J.


    During the past 60 years of research on mid-ocean ridges (MORs) we have exponentially increased our understandings one of the planet's most fundamental features and the myriad processes associated with the transfer of energy from the mantle to the hydrosphere that is focused along accretionary plate boundaries. The past decade's research, implemented by a broad community of scientists in numerous disciplines has yielded a watershed of information that has helped to make both temporal and spatial connections between processes that store and deliver magma to the crust and seafloor, and the consequent hydrothermal and biological phenomena that derive from that energy transfer. Ridge 2000 Program research at each of the three Integrated Study Sites (ISSs) - East Pacific Rise 8-10N, Juan de Fuca - Endeavour Segment, and Eastern Lau Spreading Center - provided an opportunity to coordinate field experiments, laboratory studies and modeling that has lead to new concepts of oceanic spreading center processes. In particular, the latest generation of near-bottom seafloor mapping and sampling systems and a new array of deep submergence vehicles, which include remotely operated vehicles (ROVs) and autonomous underwater vehicles (AUVs), as well more traditional human occupied vehicles (HOVs) like Alvin, have yielded important new views of MOR seafloor. These systems have allowed us to resolve the sub-meter topography of specific volcanic and hydrothermal features and relate them to distributions of hydrothermal communities, chemical variations among hydrothermal chimneys and their fluid effluent, and to axial structures that are surface manifestations of tectonic processes. In situ chemical, biological and microbial studies carried out during the past decade have increasingly shown how tightly linked chemical and biological processes are within MOR hydrothermal communities. Previous hypotheses concerning frequency of magmatism and volcanic eruptions that have related

  3. [Biomedical publications in Spain on debate (II): the on-going 'revolutions' and their application to neurological journals]. (United States)

    González de Dios, J; Sempere, A P; Aleixandre-Benavent, R

    To debate about the application of on-going 'revolutions' in medical knowledge to Spanish neurological journals in the 21st century. This article reviews the current status of five revolutions in the field of health sciences, in general, and in neurological sciences, in particular: 1) the knowledge revolution: to translate the scientific investigation to the patient, with knowledge needs-driven research agenda with founder commissioning research to answer questions posed by clinicians, managers and patients, and systematic and critical appraisal reviews as the creator of quality improved knowledge; 2) the evidence based medicine revolution: the pyramid information of '4S', with systems (guidelines and computerized decision support systems), synopses (secondary journals), syntheses (systematic reviews and meta-analysis) and studies (original studies published in journals); 3) the web revolution: the possibility of dissemination of biomedical documentation by means of the Internet network are producing changes in the traditional way of conceiving scientific publication; the Internet represents a great advantage for investigation and also for clinical practice, since it permits free, universal access to databases and the interchange of texts, images and videos; 4) the open access revolution: to take full control over all operations related to the process of publish (to create, publish, communicate, distribute, reproduce and transform) with no need of any intermediaries, and to transform fundamental aspects concerning the circulation of knowledge, its use and availability; and 5) the librarian revolution: the project of a Virtual Health Library in Spain as a tool to access and disseminate scientific and technical knowledge on health through the Internet.

  4. Featuring animacy

    Directory of Open Access Journals (Sweden)

    Elizabeth Ritter


    Full Text Available Algonquian languages are famous for their animacy-based grammatical properties—an animacy based noun classification system and direct/inverse system which gives rise to animacy hierarchy effects in the determination of verb agreement. In this paper I provide new evidence for the proposal that the distinctive properties of these languages is due to the use of participant-based features, rather than spatio-temporal ones, for both nominal and verbal functional categories (Ritter & Wiltschko 2009, 2014. Building on Wiltschko (2012, I develop a formal treatment of the Blackfoot aspectual system that assumes a category Inner Aspect (cf. MacDonald 2008, Travis 1991, 2010. Focusing on lexical aspect in Blackfoot, I demonstrate that the classification of both nouns (Seinsarten and verbs (Aktionsarten is based on animacy, rather than boundedness, resulting in a strikingly different aspectual system for both categories. 

  5. Feature Selection in Hierarchical Feature Spaces


    Ristoski, Petar; Paulheim, Heiko


    Feature selection is an important preprocessing step in data mining, which has an impact on both the runtime and the result quality of the subsequent processing steps. While there are many cases where hierarchic relations between features exist, most existing feature selection approaches are not capable of exploiting those relations. In this paper, we introduce a method for feature selection in hierarchical feature spaces. The method first eliminates redundant features along paths in the hier...

  6. Feature Multi-Selection among Subjective Features


    Sabato, Sivan; Kalai, Adam


    When dealing with subjective, noisy, or otherwise nebulous features, the "wisdom of crowds" suggests that one may benefit from multiple judgments of the same feature on the same object. We give theoretically-motivated `feature multi-selection' algorithms that choose, among a large set of candidate features, not only which features to judge but how many times to judge each one. We demonstrate the effectiveness of this approach for linear regression on a crowdsourced learning task of predicting...

  7. Korea space program (United States)

    Hong, Jai-Hak

    Though Korea's space activities are just in the infant stage, we are looking forward to joining the advanced countries in the space field. We have three on-going space programs: the KOREASAT Program, a sounding rocket program, and the KITSAT Program. And, we have three more programs that we are in the process of formulating: a small remote sensing satellite program, a data receiving station construction program, and the second generation KOREASAT program. We have several organizations which are involved with space-related activities: KARI, ETRI, SERI, and KAIST. KARI was founded in 1989 in accordance with the Aerospace Industry Development & Promotion Act for the purpose of conducting research on aicraft, satellites and scientific rockets, and supporting national aerospace development projects.

  8. Single or multiple frequency generators in on-going brain activity: A mechanistic whole-brain model of empirical MEG data. (United States)

    Deco, Gustavo; Cabral, Joana; Woolrich, Mark W; Stevner, Angus B A; van Hartevelt, Tim J; Kringelbach, Morten L


    During rest, envelopes of band-limited on-going MEG signals co-vary across the brain in consistent patterns, which have been related to resting-state networks measured with fMRI. To investigate the genesis of such envelope correlations, we consider a whole-brain network model assuming two distinct fundamental scenarios: one where each brain area generates oscillations in a single frequency, and a novel one where each brain area can generate oscillations in multiple frequency bands. The models share, as a common generator of damped oscillations, the normal form of a supercritical Hopf bifurcation operating at the critical border between the steady state and the oscillatory regime. The envelopes of the simulated signals are compared with empirical MEG data using new methods to analyse the envelope dynamics in terms of their phase coherence and stability across the spectrum of carrier frequencies. Considering the whole-brain model with a single frequency generator in each brain area, we obtain the best fit with the empirical MEG data when the fundamental frequency is tuned at 12Hz. However, when multiple frequency generators are placed at each local brain area, we obtain an improved fit of the spatio-temporal structure of on-going MEG data across all frequency bands. Our results indicate that the brain is likely to operate on multiple frequency channels during rest, introducing a novel dimension for future models of large-scale brain activity. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

  9. Habitat features influence catch rates of near-shore bull shark (Carcharhinus leucas) in the Queensland Shark Control Program, Australia 1996-2012 (United States)

    Haig, Jodie A.; Lambert, Gwladys I.; Sumpton, Wayne D.; Mayer, David G.; Werry, Jonathan M.


    Understanding shark habitat use is vital for informing better ecological management of coastal areas and shark populations. The Queensland Shark Control Program (QSCP) operates over ∼1800 km of Queensland coastline. Between 1996 and 2012, catch, total length and sex were recorded from most of the 1992 bull shark (Carcharhinus leucas) caught on drum lines and gill-nets as part of the QSCP (sex and length was not successfully recorded for all individuals). Gear was set at multiple sites within ten locations. Analysis of monthly catch data resulted in a zero-inflated dataset for the 17 years of records. Five models were trialled for suitability of standardising the bull shark catch per unit effort (CPUE) using available habitat and environmental data. Three separate models for presence-absence and presence-only were run and outputs combined using a delta-lognormal framework for generalized linear and generalized additive models. The delta-lognormal generalized linear model approach resulted in best fit to explain patterns in CPUE. Greater CPUE occurred on drum lines, and greater numbers of bull sharks were caught on both gear types in summer months, with tropical sites, and sites with greater adjacent wetland habitats catching consistently more bull sharks compared to sub-tropical sites. The CPUE data did not support a hypothesis of population decline indicative of coastal overfishing. However, the total length of sharks declined slightly through time for those caught in the tropics; subtropical catches were dominated by females and a large proportion of all bull sharks caught were smaller than the size-at-maturity reported for this species. These factors suggest that growth and sex overfishing of Queensland bull shark populations may be occurring but are not yet detectable in the available data. The data highlight available coastal wetlands, river size, length of coastline and distance to the 50 m depth contour are important for consideration in future whole of

  10. Online feature selection with streaming features. (United States)

    Wu, Xindong; Yu, Kui; Ding, Wei; Wang, Hao; Zhu, Xingquan


    We propose a new online feature selection framework for applications with streaming features where the knowledge of the full feature space is unknown in advance. We define streaming features as features that flow in one by one over time whereas the number of training examples remains fixed. This is in contrast with traditional online learning methods that only deal with sequentially added observations, with little attention being paid to streaming features. The critical challenges for Online Streaming Feature Selection (OSFS) include 1) the continuous growth of feature volumes over time, 2) a large feature space, possibly of unknown or infinite size, and 3) the unavailability of the entire feature set before learning starts. In the paper, we present a novel Online Streaming Feature Selection method to select strongly relevant and nonredundant features on the fly. An efficient Fast-OSFS algorithm is proposed to improve feature selection performance. The proposed algorithms are evaluated extensively on high-dimensional datasets and also with a real-world case study on impact crater detection. Experimental results demonstrate that the algorithms achieve better compactness and higher prediction accuracy than existing streaming feature selection algorithms.

  11. Electronic Health Record Vendors Reported by Health Care Providers Participating in Federal EHR Incentive Programs (United States)

    U.S. Department of Health & Human Services — This public use file combines registration data compiled from two federal programs that are on-going since February 2009 – the Centers for Medicare & Medicaid...

  12. ICED Data Bank on International Programs of Higher Educational Institutions. (United States)

    Brumberg, Stephan F.

    The Data Bank is an on-going information system that collects and stores data on international programs conducted by U.S. accredited 4-year colleges and universities. Information collected is coded and stored on punch cards and processed by computer. Each program is coded in 2 ways. Data cards are prepared that contain quantitative information…

  13. Unsupervised Feature Subset Selection

    DEFF Research Database (Denmark)

    Søndberg-Madsen, Nicolaj; Thomsen, C.; Pena, Jose


    This paper studies filter and hybrid filter-wrapper feature subset selection for unsupervised learning (data clustering). We constrain the search for the best feature subset by scoring the dependence of every feature on the rest of the features, conjecturing that these scores discriminate some ir...... irrelevant features. We report experimental results on artificial and real data for unsupervised learning of naive Bayes models. Both the filter and hybrid approaches perform satisfactorily....

  14. Featureous: A Tool for Feature-Centric Analysis of Java Software

    DEFF Research Database (Denmark)

    Olszak, Andrzej; Jørgensen, Bo Nørregaard


    Feature-centric comprehension of source code is necessary for incorporating user-requested modifications during software evolution and maintenance. However, such comprehension is difficult to achieve in case of large object-oriented programs due to the size, complexity, and implicit character...... of mappings between features and source code. To support programmers in overcoming these difficulties, we present a feature-centric analysis tool, Featureous. Our tool extends the NetBeans IDE with mechanisms for efficient location of feature implementations in legacy source code, and an extensive analysis...... of the discovered feature-code relations through a number of analytical views....

  15. Collaborative Writing Features (United States)

    Yong Mei Fung


    As part of a research study on collaborative writing, this paper discusses defining and facilitating features that occur during face-to-face collaboration, based on the literature and research. The defining features are mutual interaction, negotiations, conflict, and shared expertise. Facilitating features include affective factors, use of L1,…

  16. The freshwater fish fauna history between Rhine and Ebro: general considerations and comments from on-going developments in fish taxonomy

    Directory of Open Access Journals (Sweden)

    Henri Persat


    Full Text Available Because of its position between Central Europe and the Iberian Peninsula, French territory is an obligatory expansion route for their respective continental faunas, freshwater ones included. The twin Rhine-Rhone river drainage basins make an obvious link between both Central and Northern Europe and the South-Western Europe. But how fish might have dispersed along the series of rivers of the Western side of France (Seine, Loire, Charente, Garonne and Adour is less evident, as the ice ages have had a large impact on the pre-existing faunas, before human intervention blurred phylogeographic patterns, either indirectly with trans-watershed canals, or directly with purposeful translocations. What might have survived during the last glacial times is a key question in terms of management and conservation of the local fish biodiversity. Unfortunately, this diversity had been neglected or underappreciated in France until modern phylogeographic and population genetic research provided new and enlightening insights into interspecific and intraspecific variation. Thus, after one century of scientific starvation, French territory recently "gained" a series of novel species in various genera, such as Gobio, Cottus, Squalius, Leuciscus, Phoxinus, and Esox, waiting for more on going "acquisitions" in a near future. These novelties trace a quite different biogeographic landscape of what was formerly supposed to be uniform. Each major river basin retains traces of a more or less recent evolutionary history to put back into the succession of hydrographic and climatic events since the first major invasion, the entrance of cyprinids in Europe during the Oligocene era initiated by the coalescence of what was formerly only an archipelago. The timing of dispersion and on-site speciation will be discussed from the examples provided by the presently investigated genera according to evidence or hypotheses on river connections, sea-level fluctuations and climatic events.

  17. Genetic heterogeneity reveals on-going speciation and cryptic taxonomic diversity of stream-dwelling gudgeons (Teleostei, Cyprinidae in the middle Danubian hydrosystem (Hungary.

    Directory of Open Access Journals (Sweden)

    Péter Takács

    Full Text Available Although stream-dwelling gudgeons (Cyprinidae, genus: Gobio are widespread in Central Europe, the taxonomy of this group and the distribution of its species are still unexplored in detail. The aims of our study are to ascertain taxonomic composition and distribution of the former Gobio gobio superspecies in the inner area of the Carpathian Basin. Since the presence of cryptic species is suspected in this area, we examined the taxonomic and phylogenetic relationships of Central European Gobio taxa by sequencing the mitochondrial DNA control region (mtCR. Additionally, we characterized the genetic structure of 27 stream-dwelling gudgeon populations of this area by Amplified Fragment Length Polymorphism (AFLP. Results of mtCR analysis proved the presence of three species already known as G. obtusirostris (dominant in NW-Hungary, G. gobio (sporadic and G. carpathicus (sporadic. Additionally, the analysis revealed the existence of one doubtful taxon, G. sp1 (dominant in NE-Hungary, and a new isolated haplogroup (dominant in SW-Hungary. Although Network analysis showed significant detachment among haplogroups, their genetic distances were quite small. Therefore Bayesian phylogenetic analysis showed weak nodal support for the branching pattern both for newly described haplotypes, and for the already accepted species. AFLP data showed distinct population structure and a clear pattern of isolation was revealed by distance of stocks. At the same time, level of separation was not affected by the altitudinal position of sites. Moreover we found three major clusters of populations which were separated according to hydrographic regions, and corresponded to the findings of mtCR analysis. Our results suggest the on-going speciation of gudgeons in the Carpathian Basin, however the separation of haplogroups seems to only be an intermediate phase. The discovered natural pattern seems to be only slightly influenced by anthropogenic impacts. Additionally our results

  18. Featureous: infrastructure for feature-centric analysis of object-oriented software

    DEFF Research Database (Denmark)

    Olszak, Andrzej; Jørgensen, Bo Nørregaard


    understanding and modification are essential during software evolution and maintenance. In this paper, we present an infrastructure built on top of the NetBeans IDE called Featureous that allows for rapid construction of tools for feature-centric analysis of object-oriented software. Our infrastructure......The decentralized nature of collaborations between objects in object-oriented software makes it difficult to understand how user-observable program features are implemented and how their implementations relate to each other. It is worthwhile to improve this situation, since feature-centric program...... encompasses a lightweight feature location mechanism, a number of analytical views and an API allowing for addition of third-party extensions. To form a common conceptual framework for future feature-centric extensions, we propose to structure feature centric analysis along three dimensions: perspective...

  19. Utility Green Pricing Programs: A Statistical Analysis of Program Effectiveness

    Energy Technology Data Exchange (ETDEWEB)

    Wiser, R.; Olson, S.; Bird, L.; Swezey, B.


    This report analyzes actual utility green pricing program data to provide further insight into which program features might help maximize both customer participation in green pricing programs and the amount of renewable energy purchased by customers in those programs.

  20. Weighted Feature Distance

    DEFF Research Database (Denmark)

    Ortiz-Arroyo, Daniel; Yazdani, Hossein


    The accuracy of machine learning methods for clustering depends on the optimal selection of similarity functions. Conventional distance functions for the vector space might cause an algorithm to being affected by some dominant features that may skew its final results. This paper introduces a flexible...... environment for mining algorithms that uses the most suitable similarity functions to cover the diversity of both vector and feature spaces. The paper describes some well known conventional distance functions and introduces Weighted Feature Distance (WFD) and Prioritized Weighted Feature Distance (PWFD......). These novel functions attempt to balance the impact of the dominant features by covering both feature and vector spaces, additionally to optionally allowing us to increase or decrease the impact of some features. We evaluate and compare the accuracy of our proposed WFD(s) on conventional fuzzy...

  1. Sustainable urban stormwater management in the tropics: An evaluation of Singapore's ABC Waters Program (United States)

    Lim, H. S.; Lu, X. X.


    The Active Beautiful Clean (ABC) Waters Program was implemented in 2006 as part of Singapore's stormwater management strategy and reflects the country's move towards Water Sensitive Urbanism through the adoption of Low-Impact Development (LID) ideology and practices. It is the first holistic and comprehensive LID program in the tropics and holds promise for extension to other tropical cities. This paper presents a comprehensive summary of the goals, LID practices (ABC design features) and design considerations as well as results of several monitored sites, including a constructed wetland, two rain gardens, green roofs and three canal restoration projects. We evaluate the ABC Waters Program based on these initial results and consider the challenges, issues and the research needs for it to meet its hydrological and water quality remediation goals. So far, the ABC design features evaluated perform well in removing particulates. Performance in nutrient removal is poor. With over 60 projects completed within 10 years, post-project monitoring and evaluation is necessary and complements on-going laboratory and modelling research projects conducted by local academic institutions.

  2. "Let it be and keep on going! Acceptance and daily occupational well-being in relation to negative work events": Correction to Kuba and Scheibe (2017). (United States)


    Reports an error in "Let It Be and Keep on Going! Acceptance and Daily Occupational Well-Being in Relation to Negative Work Events" by Katharina Kuba and Susanne Scheibe (Journal of Occupational Health Psychology, Advanced Online Publication, Feb 25, 2016, np). In the article, there were errors in the Participants subsection in the Method section. The last three sentences should read "Job tenure ranged from less than 1 year to 32 years, with an average of 8.83 years (SD 7.80). Participants interacted with clients on average 5.44 hr a day (SD 2.41). The mean working time was 7.36 hr per day (SD 1.91)." (The following abstract of the original article appeared in record 2016-09702-001.) Negative work events can diminish daily occupational well-being, yet the degree to which they do so depends on the way in which people deal with their emotions. The aim of the current study was to examine the role of acceptance in the link between daily negative work events and occupational well-being. We hypothesized that acceptance would be associated with better daily occupational well-being, operationalized as low end-of-day negative emotions and fatigue, and high work engagement. Furthermore, we predicted that acceptance would buffer the adverse impact of negative work events on daily well-being. A microlongitudinal study across 10 work days was carried out with 92 employees of the health care sector, yielding a total of 832 daily observations. As expected, acceptance was associated with lower end-of-day negative emotions and fatigue (though there was no association with work engagement) across the 10-day period. Furthermore, acceptance moderated the effect of negative event occurrence on daily well-being: Highly accepting employees experienced less increase in negative emotions and less reduction in work engagement (though comparable end-of-day fatigue) on days with negative work events, relative to days without negative work events, than did less accepting employees. These

  3. [The expression of programmed death receptor 1 in non-small cell lung cancer and its clinicopathological features and prognosis showed a connection with epidermal growth factor receptor gene mutations]. (United States)

    Yin, H; Liao, C G; Wang, Y Q; Li, Z; Fan, L L; Qian, M L; Lu, N


    Objective: To investigate the relationships between the expression of programmed death 1 (PD-1) and the epidermal growth factor receptor (EGFR) gene mutations in non-small cell lung cancer (NSCLC). The study also attempted to investigate the clinicopathological features and prognosis in NSCLC patients. Methods: The expression of PD-1 protein in 88 cases of NSCLC tumor tissues and adjacent tissues was detected by immunohistochemistry. The mutations of EGFR in NSCLC were detected by Polymerase Chain Reaction-Amplification Refractory Mutation System(PCR-ARMS) method. The expression of PD-1 and patients' clinical characteristics and prognosis were analyzed. Results: PD-1 was positive in 63.6%(56/88) NSCLC tumor tissues, which was significantly higher than that in adjacent normal tissues (21.6%, 19/88) (Pgene mutations were found in 43 cases (48.9%), in which 30 cases (69.8%)were PD-1 positive expression. 45 cases had the wild types of EGFR gene, in which 26 cases (57.8%) were PD-1 positive. There were 24 cases of 19Del EGFR mutations, including 20 cases (83.3%) of PD-1 positive expression. 19 patients had 21L858 EGFR mutations, including 10 cases (52.6%) of PD-1 positive expression. The expression of PD-1 in NSCLC was related to patients' smoking status, lymph node metastasis and EGFR gene mutations (Pgene, the median progression-free survival time of PD-1 positive and negative expression was 25.21 and 38.24 months, respectively. The difference was statistically significant (P=0.024). The median progression-free survival time in 43 cases of EGFR mutant patients with PD-1 positive and negative expression was 21.23 and 31.44 months. The difference was not statistically significant (P=0.128). Conclusions: PD-1 expresses in both EGFR mutant and wild-type NSCLC, and its expression levelis different with various EGFR mutations. The expression of PD-1 in NSCLC is related to the prognosis of patients, and the prognosis of patients with positive PD-1 expression was poor.

  4. JCE Feature Columns (United States)

    Holmes, Jon L.


    The Features area of JCE Online is now readily accessible through a single click from our home page. In the Features area each column is linked to its own home page. These column home pages also have links to them from the online Journal Table of Contents pages or from any article published as part of that feature column. Using these links you can easily find abstracts of additional articles that are related by topic. Of course, JCE Online+ subscribers are then just one click away from the entire article. Finding related articles is easy because each feature column "site" contains links to the online abstracts of all the articles that have appeared in the column. In addition, you can find the mission statement for the column and the email link to the column editor that I mentioned above. At the discretion of its editor, a feature column site may contain additional resources. As an example, the Chemical Information Instructor column edited by Arleen Somerville will have a periodically updated bibliography of resources for teaching and using chemical information. Due to the increase in the number of these resources available on the WWW, it only makes sense to publish this information online so that you can get to these resources with a simple click of the mouse. We expect that there will soon be additional information and resources at several other feature column sites. Following in the footsteps of the Chemical Information Instructor, up-to-date bibliographies and links to related online resources can be made available. We hope to extend the online component of our feature columns with moderated online discussion forums. If you have a suggestion for an online resource you would like to see included, let the feature editor or JCE Online ( know about it. JCE Internet Features JCE Internet also has several feature columns: Chemical Education Resource Shelf, Conceptual Questions and Challenge Problems, Equipment Buyers Guide, Hal's Picks, Mathcad

  5. Evaluation of adjunct extended-release quetiapine fumarate on sleep disturbance and quality in patients with major depressive disorder and an inadequate response to on-going antidepressant therapy. (United States)

    Bauer, Michael; McIntyre, Roger S; Szamosi, Johan; Eriksson, Hans


    Sleep disturbance is common in depression and is a risk factor for recurrence and suicide. This analysis evaluated the effects of adjunct extended-release quetiapine fumarate (quetiapine XR) on sleep disturbance and quality in patients with major depressive disorder (MDD) and an inadequate response to on-going antidepressant therapy. Pooled data from two 6-wk, randomized, double-blind, placebo-controlled trials were analysed post hoc. Patients received once-daily quetiapine XR [(150 mg/d), n = 309; (300 mg/d), n = 307] or placebo (n = 303) adjunct to on-going antidepressant therapy. Analyses included: change from randomization in Montgomery-Åsberg Depression Rating Scale (MADRS) Item 4 (reduced sleep) score; Hamilton Rating Scale for Depression (HAMD) Items 4 (insomnia-early), 5 (insomnia-middle) and 6 (insomnia-late) scores; HAMD sleep disturbance factor (Items 4+5+6); Pittsburgh Sleep Quality Index (PSQI) global score. Change in MADRS total score was also evaluated in patients stratified by HAMD sleep disturbance factor score (high ≥ 4 and low sleep disturbance factor and PSQI global scores from randomization vs. placebo (all p sleep disturbance, quetiapine XR (both doses) improved depressive symptoms (MADRS total score) vs. placebo from week 1 onwards (p sleep disturbance and quality vs. placebo in patients with MDD and an inadequate response to on-going antidepressant treatment, and was effective against depressive symptoms in patients experiencing high sleep disturbance.

  6. Coherent branching feature bisimulation

    Directory of Open Access Journals (Sweden)

    Tessa Belder


    Full Text Available Progress in the behavioral analysis of software product lines at the family level benefits from further development of the underlying semantical theory. Here, we propose a behavioral equivalence for feature transition systems (FTS generalizing branching bisimulation for labeled transition systems (LTS. We prove that branching feature bisimulation for an FTS of a family of products coincides with branching bisimulation for the LTS projection of each the individual products. For a restricted notion of coherent branching feature bisimulation we furthermore present a minimization algorithm and show its correctness. Although the minimization problem for coherent branching feature bisimulation is shown to be intractable, application of the algorithm in the setting of a small case study results in a significant speed-up of model checking of behavioral properties.

  7. Radiologic features of esophagitis

    Energy Technology Data Exchange (ETDEWEB)

    Kressel, H.Y.; Glick, S.N.; Laufer, I.; Banner, M.


    The radiographic features of 31 cases of esophagitis confirmed by endoscopy and biopsy were studied by double-contrast techniques. The morphologic findings are analyzed and the changes noted in the infectious and peptic types of esophagitis are contrasted.

  8. LHON and extraocular features

    National Research Council Canada - National Science Library

    Yu‐Wai‐Man, P


    LHON is typically a monosymptomatic disease but additional features such as cardiac conduction defects, peripheral neuropathy, dystonia, and myopathy have been reported as occurring more frequently among LHON carriers...

  9. Daily bowel care program (United States)

    ... gov/ency/patientinstructions/000133.htm Daily bowel care program To use the sharing features on this page, ... Work with your health care provider. Basic Bowel Program Keeping active helps prevent constipation. Try to walk, ...


    Directory of Open Access Journals (Sweden)



    Full Text Available Surface characterization means splitting the surface geometry into basic components based usually on some functional requirement. These components can have different shapes, scales of size, distribution in space and can be constrained by multiple boundaries in height and position. The measurement can influence the importance of a parameter or feature. This paper presents the main features that need to be considered when a surface is analyzed, especially the roughness and the waviness.

  11. State University of New York Institute of Technology (SUNYIT) Visiting Scholars Program (United States)


    Computational Homology, Relativistic Quantum Information and Quantum Programming Languages ; Department of Electrical Engineering and Computer...homology, (2) relativistic quantum information and (3) quantum programming languages . Each of these three projects are a part of on-going work in...building memristor devices atop synapse circuits. Our proposed research include the following tasks: (1) developing the fabrication and the integration


    DEFF Research Database (Denmark)

    Olszak, Andrzej; Jørgensen, Bo Nørregaard


    software maintenance and evolution, this situation needs to change. In this paper, we present Featureous, an integrated development environment built on top of the NetBeans IDE that facilitates feature-centric analysis of object-oriented software. Our integrated development environment encompasses......The decentralized nature of collaborations between objects in object-oriented software makes it difficult to understand the implementations of user-observable program features and their respective interdependencies. As feature-centric program understanding and modification are essential during...... a lightweight feature location mechanism, a number of reusable analytical views, and necessary APIs for supporting future extensions. The base of the integrated development environment is a conceptual framework comprising of three complementary dimensions of comprehension: perspective, abstraction...

  13. Material Programming

    DEFF Research Database (Denmark)

    Vallgårda, Anna; Boer, Laurens; Tsaknaki, Vasiliki


    , and color, but additionally being capable of sensing, actuating, and computing. Indeed, computers will not be things in and by themselves, but embedded into the materials that make up our surroundings. This also means that the way we interact with computers and the way we program them, will change....... Consequently we ask what the practice of programming and giving form to such materials would be like? How would we be able to familiarize ourselves with the dynamics of these materials and their different combinations of cause and effect? Which tools would we need and what would they look like? Will we program...... these computational composites through external computers and then transfer the code them, or will the programming happen closer to the materials? In this feature we outline a new research program that floats between imagined futures and the development of a material programming practice....

  14. Stochastic Constraint Programming


    Walsh, Toby


    To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision variables (which we can set) and stochastic variables (which follow a probability distribution). They combine together the best features of traditional constraint satisfaction, stochastic integer programming, and stochastic satisfiability. We give a semantics for stochastic constraint programs, and propose a number...

  15. SAPHIRE 8 New Features and Capabilities

    Energy Technology Data Exchange (ETDEWEB)

    Curtis Smith


    The Systems Analysis Programs for Hands-on Integrated Reliability Evaluations (SAPHIRE) software performs probabilistic risk assessment (PRA) calculations. SAPHIRE is used in support of NRC’s risk-informed programs such as the Accident Sequence Precursor (ASP) program, Management Directive 8.3, “NRC Incident Investigation Program,” or the Significance Determination Process (SDP). It is also used to develop and run the Standardized Plant Analysis Risk (SPAR) models. SAPHIRE Version 8 is a new version of the software with an improved interface and capabilities to support risk-informed programs. SAPHIRE Version 8 is designed to easily handle larger and more complex models. Applications of previous SAPHIRE versions indicated the need to build and solve models with a large number of sequences. Risk assessments that include endstate evaluations for core damage frequency and large, early release frequency evaluations have greatly increased the number of sequences required. In addition, the complexity of the models has increased since risk assessments evaluate both potential internal and external events, as well as different plant operational states. Special features of SAPHIRE 8 help create and run integrated models which may be composed of different model types. SAPHIRE 8 includes features and capabilities that are new or improved over the current Version 7 to address the new requirements for risk-informed programs and SPAR models. These include: • Improved User Interfaces • Model development • Methods • General Support Features

  16. Feature displacement interpolation

    DEFF Research Database (Denmark)

    Nielsen, Mads; Andresen, Per Rønsholt


    Given a sparse set of feature matches, we want to compute an interpolated dense displacement map. The application may be stereo disparity computation, flow computation, or non-rigid medical registration. Also estimation of missing image data, may be phrased in this framework. Since the features...... often are very sparse, the interpolation model becomes crucial. We show that a maximum likelihood estimation based on the covariance properties (Kriging) show properties more expedient than methods such as Gaussian interpolation or Tikhonov regularizations, also including scale......-selection. The computational complexities are identical. We apply the maximum likelihood interpolation to growth analysis of the mandibular bone. Here, the features used are the crest-lines of the object surface....

  17. Choreographic Programming

    DEFF Research Database (Denmark)

    Montesi, Fabrizio

    , as they offer a concise view of the message flows enacted by a system. For this reason, in the last decade choreographies have been used in the development of programming languages, giving rise to a programming paradigm that in this dissertation we refer to as Choreographic Programming. Recent studies show...... endpoint described in a choreography can then be automatically generated, ensuring that such implementations are safe by construction. However, current formal models for choreographies do not deal with critical aspects of distributed programming, such as asynchrony, mobility, modularity, and multiparty...... sessions; it remains thus unclear whether choreographies can still guarantee safety when dealing with such nontrivial features. This PhD dissertation argues for the suitability of choreographic programming as a paradigm for the development of safe distributed systems. We proceed by investigating its...

  18. The NASA Sounding Rocket Program and space sciences (United States)

    Gurkin, L. W.


    High altitude suborbital rockets (sounding rockets) have been extensively used for space science research in the post-World War II period; the NASA Sounding Rocket Program has been on-going since the inception of the Agency and supports all space science disciplines. In recent years, sounding rockets have been utilized to provide a low gravity environment for materials processing research, particularly in the commercial sector. Sounding rockets offer unique features as a low gravity flight platform. Quick response and low cost combine to provide more frequent spaceflight opportunities. Suborbital spacecraft design practice has achieved a high level of sophistication which optimizes the limited available flight times. High data-rate telemetry, real-time ground up-link command and down-link video data are routinely used in sounding rocket payloads. Standard, off-the-shelf, active control systems are available which limit payload body rates such that the gravitational environment remains less than 10(-4) g during the control period. Operational launch vehicles are available which can provide up to 7 minutes of experiment time for experiment weights up to 270 kg. Standard payload recovery systems allow soft impact retrieval of payloads. When launched from White Sands Missile Range, New Mexico, payloads can be retrieved and returned to the launch site within hours.

  19. Major depression with psychotic features (United States)

    ... this page: // Major depression with psychotic features To use the sharing features on this page, please enable JavaScript. Major depression with psychotic features is a mental disorder in ...

  20. Imaging features of thalassemia

    Energy Technology Data Exchange (ETDEWEB)

    Tunaci, M.; Tunaci, A.; Engin, G.; Oezkorkmaz, B.; Acunas, G.; Acunas, B. [Dept. of Radiology, Istanbul Univ. (Turkey); Dincol, G. [Dept. of Internal Medicine, Istanbul Univ. (Turkey)


    Thalassemia is a kind of chronic, inherited, microcytic anemia characterized by defective hemoglobin synthesis and ineffective erythropoiesis. In all thalassemias clinical features that result from anemia, transfusional, and absorptive iron overload are similar but vary in severity. The radiographic features of {beta}-thalassemia are due in large part to marrow hyperplasia. Markedly expanded marrow space lead to various skeletal manifestations including spine, skull, facial bones, and ribs. Extramedullary hematopoiesis (ExmH), hemosiderosis, and cholelithiasis are among the non-skeletal manifestations of thalassemia. The skeletal X-ray findings show characteristics of chronic overactivity of the marrow. In this article both skeletal and non-skeletal manifestations of thalassemia are discussed with an overview of X-ray findings, including MRI and CT findings. (orig.)

  1. CBFS: high performance feature selection algorithm based on feature clearness.

    Directory of Open Access Journals (Sweden)

    Minseok Seo

    Full Text Available BACKGROUND: The goal of feature selection is to select useful features and simultaneously exclude garbage features from a given dataset for classification purposes. This is expected to bring reduction of processing time and improvement of classification accuracy. METHODOLOGY: In this study, we devised a new feature selection algorithm (CBFS based on clearness of features. Feature clearness expresses separability among classes in a feature. Highly clear features contribute towards obtaining high classification accuracy. CScore is a measure to score clearness of each feature and is based on clustered samples to centroid of classes in a feature. We also suggest combining CBFS and other algorithms to improve classification accuracy. CONCLUSIONS/SIGNIFICANCE: From the experiment we confirm that CBFS is more excellent than up-to-date feature selection algorithms including FeaLect. CBFS can be applied to microarray gene selection, text categorization, and image classification.

  2. Model Checking Feature Interactions

    DEFF Research Database (Denmark)

    Le Guilly, Thibaut; Olsen, Petur; Pedersen, Thomas


    This paper presents an offline approach to analyzing feature interactions in embedded systems. The approach consists of a systematic process to gather the necessary information about system components and their models. The model is first specified in terms of predicates, before being refined to t...... to timed automata. The consistency of the model is verified at different development stages, and the correct linkage between the predicates and their semantic model is checked. The approach is illustrated on a use case from home automation....

  3. Multiplicative Multitask Feature Learning. (United States)

    Wang, Xin; Bi, Jinbo; Yu, Shipeng; Sun, Jiangwen; Song, Minghu


    We investigate a general framework of multiplicative multitask feature learning which decomposes individual task's model parameters into a multiplication of two components. One of the components is used across all tasks and the other component is task-specific. Several previous methods can be proved to be special cases of our framework. We study the theoretical properties of this framework when different regularization conditions are applied to the two decomposed components. We prove that this framework is mathematically equivalent to the widely used multitask feature learning methods that are based on a joint regularization of all model parameters, but with a more general form of regularizers. Further, an analytical formula is derived for the across-task component as related to the task-specific component for all these regularizers, leading to a better understanding of the shrinkage effects of different regularizers. Study of this framework motivates new multitask learning algorithms. We propose two new learning formulations by varying the parameters in the proposed framework. An efficient blockwise coordinate descent algorithm is developed suitable for solving the entire family of formulations with rigorous convergence analysis. Simulation studies have identified the statistical properties of data that would be in favor of the new formulations. Extensive empirical studies on various classification and regression benchmark data sets have revealed the relative advantages of the two new formulations by comparing with the state of the art, which provides instructive insights into the feature learning problem with multiple tasks.

  4. Constraint-based feature validation


    Dohmen, M.H.P.J.


    The feature modeling paradigm combines geometric and functional product information in one model. In an ideal product development environment, multiple views of a product in terms of features coexist. Feature validation concerns the validity of the feature information in all these views, focusing on validity specification and maintenance. This thesis presents a feature validation scheme based on constraints. It enables flexible and expressive feature validity maintenance. The scheme ensures t...

  5. Status of the DOE (STOR)-sponsored national program on hydrogen production from water via thermochemical cycles (United States)

    Baker, C. E.


    The program structure is presented. The activities of the thermochemical cycles program are grouped according to the following categories: (1) specific cycle development, (2) support research and technology, (3) cycle evaluation. Specific objectives and status of on-going activities are discussed. Chemical reaction series for the production of hydrogen are presented. Efficiency and economic evaluations are also discussed.

  6. Features of MCNP6 (United States)

    Goorley, T.; James, M.; Booth, T.; Brown, F.; Bull, J.; Cox, L. J.; Durkee, J.; Elson, J.; Fensin, M.; Forster, R. A.; Hendricks, J.; Hughes, H. G.; Johns, R.; Kiedrowski, B.; Martz, R.; Mashnik, S.; McKinney, G.; Pelowitz, D.; Prael, R.; Sweezy, J.; Waters, L.; Wilcox, T.; Zukaitis, T.


    MCNP6 is simply and accurately described as the merger of MCNP5 and MCNPX capabilities, but it is much more than the sum of these two computer codes. MCNP6 is the result of six years of effort by the MCNP5 and MCNPX code development teams. These groups of people, residing in Los Alamos National Laboratory's X Computational Physics Division, Monte Carlo Codes Group (XCP-3) and Nuclear Engineering and Nonproliferation Division, Radiation Transport Modeling Team (NEN-5) respectively, have combined their code development efforts to produce the next evolution of MCNP. While maintenance and major bug fixes will continue for MCNP5 1.60 and MCNPX 2.7.0 for upcoming years, new code development capabilities only will be developed and released in MCNP6. In fact, the initial release of MCNP6 contains numerous new features not previously found in either code. These new features are summarized in this document. Packaged with MCNP6 is also the new production release of the ENDF/B-VII.1 nuclear data files usable by MCNP. The high quality of the overall merged code, usefulness of these new features, along with the desire in the user community to start using the merged code, have led us to make the first MCNP6 production release: MCNP6 version 1. High confidence in the MCNP6 code is based on its performance with the verification and validation test suites, comparisons to its predecessor codes, our automated nightly software debugger tests, the underlying high quality nuclear and atomic databases, and significant testing by many beta testers.

  7. Changing views at Banaras Hindu University on the Academic Study of Religion: A first report from an on-going research project

    Directory of Open Access Journals (Sweden)

    Åke SANDER


    Full Text Available Given India’s vibrant religious landscape, there is a somewhat surprising paucity of departments, centres or even programs for the academic study of religion. This article discusses this issue based on the preliminary results of an interview study conducted at Banaras Hindu University (BHU, Varanasi, India, in 2014 and 2015. Its focus is on the views of university teachers and researchers concerning the place, role and function of religion and religious studies at BHU. Twenty‑eight semi‑structured interviews were conducted. In the course of their analysis, six themes emerged: 1 the place and role of religion in society; 2 religion as ‘religiosity/spirituality’ or sanatana dharma vs. political ideology/communitarianism; 3 religion vs. dharma; 4 secularization; 5 religion in education in general; and, 6 religion in the education at BHU. The informants agreed on the increasing importance of religion in India, and most of them viewed the meaning of secularization as being ‘equal respect for all religions’. Moreover, a majority distinguished between ‘religion’, in the Western sense, and the Indian conception of dharma, considering it regrettable that the latter, described as the common ground of all religions, is not taught more extensively at BHU. They also considered the original ideal of BHU’s founder, Madan Mohan Malaviya, to be of significant importance. That ideal involved not only teaching students the knowledge and skill sets found in a standard modern university, but also equipping them with a value‑based education, grounded upon sanatana‑dharma. As our project progresses, further understanding of this turn toward dharma education is something we intend to pursue through the lens of multiple modernities, developed by Marian Burchardt et al. as multiple secularities.

  8. Constraint-based feature validation

    NARCIS (Netherlands)

    Dohmen, M.H.P.J.


    The feature modeling paradigm combines geometric and functional product information in one model. In an ideal product development environment, multiple views of a product in terms of features coexist. Feature validation concerns the validity of the feature information in all these views, focusing on

  9. Linear Projective Program Syntax

    NARCIS (Netherlands)

    Bergstra, J.A.; Bethke, I.


    Based on an extremely simple program notation more advanced program features can be developed in linear projective program syntax such as conditional statements, while loops, recursion, use of an evaluation stack, object classes, method calls etc. Taking care of a cumulative and bottom up

  10. Programming Algol

    CERN Document Server

    Malcolme-Lawes, D J


    Programming - ALGOL describes the basics of computer programming using Algol. Commands that could be added to Algol and could increase its scope are described, including multiplication and division and the use of brackets. The idea of labeling or naming a command is also explained, along with a command allowing two alternative results. Most of the important features of Algol syntax are discussed, and examples of compound statements (that is, sets of commands enclosed by a begin ... end command) are given.Comprised of 11 chapters, this book begins with an introduction to the digital computer an

  11. Status of Iran's nuclear program and negotiations (United States)

    Albright, David


    Iran's nuclear program poses immense challenges to international security. Its gas centrifuge program has grown dramatically in the last several years, bringing Iran close to a point where it could produce highly enriched uranium in secret or declared gas centrifuge plants before its breakout would be discovered and stopped. To reduce the risk posed by Iran's nuclear program, the P5+1 have negotiated with Iran short term limits on the most dangerous aspects of its nuclear programs and is negotiating long-term arrangements that can provide assurance that Iran will not build nuclear weapons. These long-term arrangements need to include a far more limited and transparent Iranian nuclear program. In advance of arriving at a long-term arrangement, the IAEA will need to resolve its concerns about the alleged past and possibly on-going military dimensions of Iran's nuclear program.

  12. Organization and management of space grant programs (United States)

    Sheppard, Sallie; Nichols, Steve


    The 21 Space Grant Programs represent a broad range of organizational structures which operate programs ranging in size from single university organizations to organizations including up to 41 members involving a composite of industrial organizations such as state agencies, and universities. Some of the space grant awards were made to organizations already in existence with on-going programs while other awards were made to consortia newly formed for the purpose of applying to the Space Grant Program. The workshop on organization and management of Space Grant Programs provided an opportunity for directors and program representatives to discuss and compare the relative advantages and disadvantages of the various models being used. This paper offers examples of the diversity of organizations, summarizes the common concerns to be met by each organizational model, and provides a case study of the Texas Space Grant Consortium organization.

  13. Features or tasks?

    DEFF Research Database (Denmark)

    Heilesen, Simon

    In this paper for the Workshop on Human-computer interaction and e-learning, NordiCHI 2002, the author argues that in developing innovative E-learning systems, especially if constructivist pedagogy is to be applied, it will be useful to model the user interface on the often complex tasks that the...... that the user has to perform rather than just focusing on technical features (and adapting system use to them).......In this paper for the Workshop on Human-computer interaction and e-learning, NordiCHI 2002, the author argues that in developing innovative E-learning systems, especially if constructivist pedagogy is to be applied, it will be useful to model the user interface on the often complex tasks...

  14. Genomic Feature Models

    DEFF Research Database (Denmark)

    Sørensen, Peter; Edwards, Stefan McKinnon; Rohde, Palle Duun

    Whole-genome sequences and multiple trait phenotypes from large numbers of individuals will soon be available in many populations. Well established statistical modeling approaches enable the genetic analyses of complex trait phenotypes while accounting for a variety of additive and non......-additive genetic mechanisms. These modeling approaches have proven to be highly useful to determine population genetic parameters as well as prediction of genetic risk or value. We present a series of statistical modelling approaches that use prior biological information for evaluating the collective action...... of sets of genetic variants. We have applied these approaches to whole genome sequences and a complex trait phenotype resistance to starvation collected on inbred lines from the Drosophila Genome Reference Panel population. We identified a number of genomic features classification schemes (e.g. prior QTL...

  15. Abdominal tuberculosis: Imaging features

    Energy Technology Data Exchange (ETDEWEB)

    Pereira, Jose M. [Department of Radiology, Hospital de S. Joao, Porto (Portugal)]. E-mail:; Madureira, Antonio J. [Department of Radiology, Hospital de S. Joao, Porto (Portugal); Vieira, Alberto [Department of Radiology, Hospital de S. Joao, Porto (Portugal); Ramos, Isabel [Department of Radiology, Hospital de S. Joao, Porto (Portugal)


    Radiological findings of abdominal tuberculosis can mimic those of many different diseases. A high level of suspicion is required, especially in high-risk population. In this article, we will describe barium studies, ultrasound (US) and computed tomography (CT) findings of abdominal tuberculosis (TB), with emphasis in the latest. We will illustrate CT findings that can help in the diagnosis of abdominal tuberculosis and describe imaging features that differentiate it from other inflammatory and neoplastic diseases, particularly lymphoma and Crohn's disease. As tuberculosis can affect any organ in the abdomen, emphasis is placed to ileocecal involvement, lymphadenopathy, peritonitis and solid organ disease (liver, spleen and pancreas). A positive culture or hystologic analysis of biopsy is still required in many patients for definitive diagnosis. Learning objectives:1.To review the relevant pathophysiology of abdominal tuberculosis. 2.Illustrate CT findings that can help in the diagnosis.

  16. [MRI features of neurosyphilis]. (United States)

    Brisset, M; Chadenat, M L; Cordoliani, Y; Kamga-Tallom, R; D'Anglejean, J; Pico, F


    Neurosyphilis is rare today. It arises on average 20 years after poorly treated or untreated primary syphilis. Considering the decline in the incidence of syphilitic meningo encephalitis and the little known MRI aspects, we report the case of a patient affected by neurosyphilis occurring after primary syphilis untreated for 25 years. A 65-year-old man presented typical clinical features including general paresis with psychiatric disorders, maniac access, and frontal syndrome as well as tabes dorsalis and Argyll-Robertson pupil. Brain MRI showed bilateral high intensity signals on the T2 weighted sequence located in mesiotemporal, insular, frontal regions. Very few cases of neurosyphilis with detailed brain MRI aspects have been reported. The interest of this case report is first to recall the importance of syphilitic serology in patients with subacute psychiatric disorders and secondly to present rarely reported aspects of the brain MRI. Copyright © 2011. Published by Elsevier Masson SAS.

  17. Dependency Parsing with Transformed Feature

    Directory of Open Access Journals (Sweden)

    Fuxiang Wu


    Full Text Available Dependency parsing is an important subtask of natural language processing. In this paper, we propose an embedding feature transforming method for graph-based parsing, transform-based parsing, which directly utilizes the inner similarity of the features to extract information from all feature strings including the un-indexed strings and alleviate the feature sparse problem. The model transforms the extracted features to transformed features via applying a feature weight matrix, which consists of similarities between the feature strings. Since the matrix is usually rank-deficient because of similar feature strings, it would influence the strength of constraints. However, it is proven that the duplicate transformed features do not degrade the optimization algorithm: the margin infused relaxed algorithm. Moreover, this problem can be alleviated by reducing the number of the nearest transformed features of a feature. In addition, to further improve the parsing accuracy, a fusion parser is introduced to integrate transformed and original features. Our experiments verify that both transform-based and fusion parser improve the parsing accuracy compared to the corresponding feature-based parser.

  18. C++ Programming Language (United States)

    Shaykhian, Gholam Ali


    C++ Programming Language: The C++ seminar covers the fundamentals of C++ programming language. The C++ fundamentals are grouped into three parts where each part includes both concept and programming examples aimed at for hands-on practice. The first part covers the functional aspect of C++ programming language with emphasis on function parameters and efficient memory utilization. The second part covers the essential framework of C++ programming language, the object-oriented aspects. Information necessary to evaluate various features of object-oriented programming; including encapsulation, polymorphism and inheritance will be discussed. The last part of the seminar covers template and generic programming. Examples include both user defined and standard templates.

  19. A prototype feature system for feature retrieval using relationships (United States)

    Choi, J.; Usery, E.L.


    Using a feature data model, geographic phenomena can be represented effectively by integrating space, theme, and time. This paper extends and implements a feature data model that supports query and visualization of geographic features using their non-spatial and temporal relationships. A prototype feature-oriented geographic information system (FOGIS) is then developed and storage of features named Feature Database is designed. Buildings from the U.S. Marine Corps Base, Camp Lejeune, North Carolina and subways in Chicago, Illinois are used to test the developed system. The results of the applications show the strength of the feature data model and the developed system 'FOGIS' when they utilize non-spatial and temporal relationships in order to retrieve and visualize individual features.

  20. In Brief: Online Arctic mapping feature unveiled (United States)

    Kumar, Mohi


    The Arctic Research Mapping Application (ARMAP), a Web portal of interactive maps and services, can now be used in conjunction with Google Earth. The new feature allows users to readily interface between satellite images, road and political maps, and other baseline information. ARMAP (see supports Arctic science with special emphasis on promoting the current International Polar Year and is funded by the National Science Foundation's Office of Polar Programs.

  1. Meta-Level Runtime Feature Awareness for Java

    DEFF Research Database (Denmark)

    Olszak, Andrzej; Jensen, Martin Lykke Rytter; Jørgensen, Bo Nørregaard


    introduce the concept of runtime feature awareness that enables a running program to establish and make use of its own feature-code traceability links. We present an implementation of this idea, a dynamic-analysis Java library called JAwareness. JAwareness provides a meta-level architecture that can be non...

  2. Pharmacological features of osthole. (United States)

    Jarząb, Agata; Grabarska, Aneta; Skalicka-Woźniak, Krystyna; Stepulak, Andrzej


    Coumarins are a group of naturally occurring compounds common in the plant world. These substances and their derivatives exhibit a broad range of biological activities. One of the naturally occurring coumarins is osthole, which can most frequently be found in plants of the Apiaceae family. Cnidium monnieri (L.) Cusson ex Juss. Angelica pubescens Maxim. and Peucedanum ostruthium (L.). It has anti-proliferative, anti-inflammatory, anti-convulsant, and antiallergic properties; apart from that, inhibition of platelet aggregation has also been proved. The impact of osthole on bone metabolism has been demonstrated; also its hepatoprotective and neuroprotective properties have been confirmed. The inhibitory effect of this metokcompound on the development of neurodegenerative diseases has been proved in experimental models. Anticancer features of osthole have been also demonstrated both in vitro on different cell lines, and in vivo using animals xenografts. Osthole inhibited proliferation, motility and invasiveness of tumor cells, which may be associated with the induction of apoptosis and cell cycle slowdown. The exact molecular mechanism of osthole anti-cancer mode of action has not been fully elucidated. A synergistic effect of osthole with other anti-tumor substances has been also reported. Modification of its chemical structure led to the synthesis of many derivatives with significant anticancer effects. To sum up, osthole is an interesting therapeutic option, due to both its direct effect on tumor cells, as well as its neuroprotective or anti-inflammatory properties. Thus, there is a chance to use osthole or its synthetic derivatives in the treatment of cancer.

  3. Use a Checklist for Features. (United States)

    Seeger, Arthur


    Notes that the ways in which feature stories "go wrong" tend to cluster into patterns, and presents a classroom developed list of tag-words and one-line definitions for marking feature assignments and use in group critiques. (HTH)



    Freitas Caetano, Marcelo; Rodet, Xavier


    International audience; The goal of sound morphing by feature interpolation is to obtain sounds whose values of features are intermediate between those of the source and target sounds. In order to do this, we should be able to resynthesize sounds that present a set of predefined feature values, a notoriously difficult problem. In this work, we present morphing techniques to obtain hybrid musical instrument sounds whose feature values correspond as close as possible to the ideal interpolated v...

  5. Public Relations for Invisible Programs. (United States)

    Pucciani, Linda


    The positive features of nonperformance programs such as general music and music appreciation should be communicated often and effectively to the community. There are many effective publicity media appropriate for nonperformance programs. (AM)

  6. Finding phonological features in perception

    NARCIS (Netherlands)

    Chládková, K.


    This thesis investigated whether phonological features have perceptual bases. The search for features in perception was approached from several angles: from that of an adult listener who has a fully acquired language system in place, from that of a linguist who aims to uncover feature structures in

  7. Pharmacological features of osthole

    Directory of Open Access Journals (Sweden)

    Agata Jarząb


    Full Text Available Coumarins are a group of naturally occurring compounds common in the plant world. These substances and their derivatives exhibit a broad range of biological activities.One of the naturally occurring coumarins is osthole, which can most frequently be found in plants of the Apiaceae family. Cnidium monnieri (L. Cusson ex Juss. Angelica pubescens Maxim. and Peucedanum ostruthium (L.. It has anti-proliferative, anti-inflammatory, anti-convulsant, and antiallergic properties; apart from that, inhibition of platelet aggregation has also been proved. The impact of osthole on bone metabolism has been demonstrated; also its hepatoprotective and neuroprotective properties have been confirmed. The inhibitory effect of this metokcompound on the development of neurodegenerative diseases has been proved in experimental models. Anticancer features of osthole have been also demonstrated both in vitro on different cell lines, and in vivo using animals xenografts. Osthole inhibited proliferation, motility and invasiveness of tumor cells, which may be associated with the induction of apoptosis and cell cycle slowdown. The exact molecular mechanism of osthole anti-cancer mode of action has not been fully elucidated. A synergistic effect of osthole with other anti-tumor substances has been also reported. Modification of its chemical structure led to the synthesis of many derivatives with significant anticancer effects.To sum up, osthole is an interesting therapeutic option, due to both its direct effect on tumor cells, as well as its neuroprotective or anti-inflammatory properties. Thus, there is a chance to use osthole or its synthetic derivatives in the treatment of cancer.

  8. Ostomy Home Skills Program

    Medline Plus

    Full Text Available ... Safety Conference ACS Clinical Scholars in Residence Clinical Trials Methods Course Health Services Research Methods Course Surgeon ... Institute Featured Articles Nora Institute Mission The FIRST Trial Advocacy Advocacy Overview Quality Payment Program QPP Resource ...

  9. Geophysical Features - STRUCTURAL_FEATURES_IN: Structural Features of Indiana (Indiana Geological Survey, Line Shapefile) (United States)

    NSGIC State | GIS Inventory — STRUCTURAL_FEATURES_IN is a line shapefile that shows the location of known structural features in Indiana; source data scales range from 1:12,000 to 1:500,000 (only...

  10. Confidence-Based Feature Acquisition (United States)

    Wagstaff, Kiri L.; desJardins, Marie; MacGlashan, James


    Confidence-based Feature Acquisition (CFA) is a novel, supervised learning method for acquiring missing feature values when there is missing data at both training (learning) and test (deployment) time. To train a machine learning classifier, data is encoded with a series of input features describing each item. In some applications, the training data may have missing values for some of the features, which can be acquired at a given cost. A relevant JPL example is that of the Mars rover exploration in which the features are obtained from a variety of different instruments, with different power consumption and integration time costs. The challenge is to decide which features will lead to increased classification performance and are therefore worth acquiring (paying the cost). To solve this problem, CFA, which is made up of two algorithms (CFA-train and CFA-predict), has been designed to greedily minimize total acquisition cost (during training and testing) while aiming for a specific accuracy level (specified as a confidence threshold). With this method, it is assumed that there is a nonempty subset of features that are free; that is, every instance in the data set includes these features initially for zero cost. It is also assumed that the feature acquisition (FA) cost associated with each feature is known in advance, and that the FA cost for a given feature is the same for all instances. Finally, CFA requires that the base-level classifiers produce not only a classification, but also a confidence (or posterior probability).

  11. Feature++: Automatic Feature Construction for Clinical Data Analysis. (United States)

    Sun, Wen; Hao, Bibo; Yu, Yiqin; Li, Jing; Hu, Gang; Xie, Guotong


    With the rapid growth of clinical data and knowledge, feature construction for clinical analysis becomes increasingly important and challenging. Given a clinical dataset with up to hundreds or thousands of columns, the traditional manual feature construction process is usually too labour intensive to generate a full spectrum of features with potential values. As a result, advanced large-scale data analysis technologies, such as feature selection for predictive modelling, cannot be fully utilized for clinical data analysis. In this paper, we propose an automatic feature construction framework for clinical data analysis, namely, Feature++. It leverages available public knowledge to understand the semantics of the clinical data, and is able to integrate external data sources to automatically construct new features based on predefined rules and clinical knowledge. We demonstrate the effectiveness of Feature++ in a typical predictive modelling use case with a public clinical dataset, and the results suggest that the proposed approach is able to fulfil typical feature construction tasks with minimal dataset specific configurations, so that more accurate models can be obtained from various clinical datasets in a more efficient way.

  12. Complex Topographic Feature Ontology Patterns (United States)

    Varanka, Dalia E.; Jerris, Thomas J.


    Semantic ontologies are examined as effective data models for the representation of complex topographic feature types. Complex feature types are viewed as integrated relations between basic features for a basic purpose. In the context of topographic science, such component assemblages are supported by resource systems and found on the local landscape. Ontologies are organized within six thematic modules of a domain ontology called Topography that includes within its sphere basic feature types, resource systems, and landscape types. Context is constructed not only as a spatial and temporal setting, but a setting also based on environmental processes. Types of spatial relations that exist between components include location, generative processes, and description. An example is offered in a complex feature type ‘mine.’ The identification and extraction of complex feature types are an area for future research.

  13. What Makes a Good Feature? (United States)


    RICHARDS & JEPSON WHAT MAKES A GOOD FEATURE? MACHINE NEUROPHYSIOLOGY ETHOLOGY VISION ze7-crossing V - Duck parallel T - junction H owlnd sk w-y...metry F= 9e Figure 1 Typical features proposed by machine vision, neurophysiology, and ethology . What common properties do these features satisfy? What...transversal cat - egory Pi within M. Each of these measures is assumed to have density functions of the form p,(mIC.) = pC(m)fCexp(-H,(mjC.)),i = 0

  14. Feature selection using feature dissimilarity measure and density ...

    Indian Academy of Sciences (India)


    Sep 28, 2015 ... 2009]). Classification accuracies are first measured without performing any feature selection. In the case of Parkinson's,. WDBC, dermatology and colon cancer data, FSICI helps classifiers obtain the best accuracies, whereas for rest of. Table 3. Comparison results of different feature selection algorithms for ...

  15. Emergent interfaces for feature modularization

    CERN Document Server

    Ribeiro, Márcio; Brabrand, Claus


    Developers frequently introduce errors into software systems when they fail to recognise module dependencies. Using forty-three software families and Software Product Lines (SPLs), where the majority are commonly used in industrial practice, the authors reports on the feature modularization problem and provides a study of how often it may occur in practice. To solve the problem they present the concept of emergent feature modularization which aims to establish contracts between features to prevent developers from breaking other features when performing a maintenance task.

  16. Chronic Beryllium Disease Prevention Program Report

    Energy Technology Data Exchange (ETDEWEB)

    Lee, S


    This document describes how Lawrence Livermore National Laboratory (LLNL) meets the requirements and management practices of federal regulation 10 CFR 850, 'Chronic Beryllium Disease Prevention Program (CBDPP).' This revision of the LLNL CBDPP incorporates clarification and editorial changes based on lessons learned from employee discussions, observations and reviews of Department of Energy (DOE) Complex and commercial industry beryllium (Be) safety programs. The information is used to strengthen beryllium safety practices at LLNL, particularly in the areas of: (1) Management of small parts and components; and (2) Communication of program status to employees. Future changes to LLNL beryllium activities and on-going operating experience will be incorporated into the program as described in Section S, 'Performance Feedback.'

  17. Programming Pig

    CERN Document Server

    Gates, Alan


    This guide is an ideal learning tool and reference for Apache Pig, the open source engine for executing parallel data flows on Hadoop. With Pig, you can batch-process data without having to create a full-fledged application-making it easy for you to experiment with new datasets. Programming Pig introduces new users to Pig, and provides experienced users with comprehensive coverage on key features such as the Pig Latin scripting language, the Grunt shell, and User Defined Functions (UDFs) for extending Pig. If you need to analyze terabytes of data, this book shows you how to do it efficiently

  18. Creating Spaces for the Development of Democratic School Leaders: A Case of Program Redesign in the United States (United States)

    Bredeson, Paul V.


    Architecture deals with the creation and definition of space expressed in buildings and other physical structures. Pre-service preparation programs and on-going professional development for school leaders similarly are built structures designed to help aspiring and practicing administrators acquire critical knowledge, dispositions, and…

  19. Feature extraction using fractal codes

    NARCIS (Netherlands)

    B.A.M. Ben Schouten; Paul M. de Zeeuw


    Fast and successful searching for an object in a multimedia database is a highly desirable functionality. Several approaches to content based retrieval for multimedia databases can be found in the literature [9,10,12,14,17]. The approach we consider is feature extraction. A feature can be seen as a

  20. The Nature of Design Features

    DEFF Research Database (Denmark)

    Andreasen, Mogens Myrup; Mortensen, Niels Henrik


    In this paper it is argued that the core of design features is design characteristics, i.e. the design attributes which define the design (the result from design work) and determine the behaviour. A definition of features as relationships between product design characteristics and life phase system...

  1. Partial Epilepsy with Auditory Features

    Directory of Open Access Journals (Sweden)

    J Gordon Millichap


    Full Text Available The clinical characteristics of 53 sporadic (S cases of idiopathic partial epilepsy with auditory features (IPEAF were analyzed and compared to previously reported familial (F cases of autosomal dominant partial epilepsy with auditory features (ADPEAF in a study at the University of Bologna, Italy.

  2. Hopewell Furnace NHS Small Scale Features (Linear Features) (United States)

    National Park Service, Department of the Interior — This shapefile represents the linear small scale features found at Hopewell Furnace National Historic Site based on the Cultural Landscape Report completed in...

  3. Glacial Features (Point) - Quad 168 (EPPING, NH) (United States)

    University of New Hampshire — The Glacial Features (Point) layer describes point features associated with surficial geology. These glacial features include, but are not limited to, delta forsets,...

  4. Glacial Features (Point) - Quad 169 (NEWMARKET, NH) (United States)

    University of New Hampshire — The Glacial Features (Point) layer describes point features associated with surficial geology. These glacial features include, but are not limited to, delta forsets,...

  5. Elementary number theory with programming

    CERN Document Server

    Lewinter, Marty


    A successful presentation of the fundamental concepts of number theory and computer programming Bridging an existing gap between mathematics and programming, Elementary Number Theory with Programming provides a unique introduction to elementary number theory with fundamental coverage of computer programming. Written by highly-qualified experts in the fields of computer science and mathematics, the book features accessible coverage for readers with various levels of experience and explores number theory in the context of programming without relying on advanced prerequisite knowledge and con

  6. Solar Features - Prominences and Filaments (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Prominences and filaments are two manifestations of the same phenomenon. Both prominences and filaments are features formed above the chromosphere by cool dense...

  7. Youth job market specific features

    Directory of Open Access Journals (Sweden)

    Evgeniya Yu. Zhuravleva


    Full Text Available The article considers youth job market peculiarities, its specific features and regulation means, determines theoretical and application tasks of qualitative and quantitative comparison of vocations, which are highly in demand at the job market.

  8. Feature-by-feature--evaluating de novo sequence assembly.

    Directory of Open Access Journals (Sweden)

    Francesco Vezzi

    Full Text Available The whole-genome sequence assembly (WGSA problem is among one of the most studied problems in computational biology. Despite the availability of a plethora of tools (i.e., assemblers, all claiming to have solved the WGSA problem, little has been done to systematically compare their accuracy and power. Traditional methods rely on standard metrics and read simulation: while on the one hand, metrics like N50 and number of contigs focus only on size without proportionately emphasizing the information about the correctness of the assembly, comparisons performed on simulated dataset, on the other hand, can be highly biased by the non-realistic assumptions in the underlying read generator. Recently the Feature Response Curve (FRC method was proposed to assess the overall assembly quality and correctness: FRC transparently captures the trade-offs between contigs' quality against their sizes. Nevertheless, the relationship among the different features and their relative importance remains unknown. In particular, FRC cannot account for the correlation among the different features. We analyzed the correlation among different features in order to better describe their relationships and their importance in gauging assembly quality and correctness. In particular, using multivariate techniques like principal and independent component analysis we were able to estimate the "excess-dimensionality" of the feature space. Moreover, principal component analysis allowed us to show how poorly the acclaimed N50 metric describes the assembly quality. Applying independent component analysis we identified a subset of features that better describe the assemblers performances. We demonstrated that by focusing on a reduced set of highly informative features we can use the FRC curve to better describe and compare the performances of different assemblers. Moreover, as a by-product of our analysis, we discovered how often evaluation based on simulated data, obtained with state

  9. Correlative feature analysis on FFDM

    Energy Technology Data Exchange (ETDEWEB)

    Yuan Yading; Giger, Maryellen L.; Li Hui; Sennett, Charlene [Department of Radiology, Committee on Medical Physics, University of Chicago, 5841 South Maryland Avenue, MC 2026 Chicago, Illinois 60637 (United States)


    Identifying the corresponding images of a lesion in different views is an essential step in improving the diagnostic ability of both radiologists and computer-aided diagnosis (CAD) systems. Because of the nonrigidity of the breasts and the 2D projective property of mammograms, this task is not trivial. In this pilot study, we present a computerized framework that differentiates between corresponding images of the same lesion in different views and noncorresponding images, i.e., images of different lesions. A dual-stage segmentation method, which employs an initial radial gradient index (RGI) based segmentation and an active contour model, is applied to extract mass lesions from the surrounding parenchyma. Then various lesion features are automatically extracted from each of the two views of each lesion to quantify the characteristics of density, size, texture and the neighborhood of the lesion, as well as its distance to the nipple. A two-step scheme is employed to estimate the probability that the two lesion images from different mammographic views are of the same physical lesion. In the first step, a correspondence metric for each pairwise feature is estimated by a Bayesian artificial neural network (BANN). Then, these pairwise correspondence metrics are combined using another BANN to yield an overall probability of correspondence. Receiver operating characteristic (ROC) analysis was used to evaluate the performance of the individual features and the selected feature subset in the task of distinguishing corresponding pairs from noncorresponding pairs. Using a FFDM database with 123 corresponding image pairs and 82 noncorresponding pairs, the distance feature yielded an area under the ROC curve (AUC) of 0.81{+-}0.02 with leave-one-out (by physical lesion) evaluation, and the feature metric subset, which included distance, gradient texture, and ROI-based correlation, yielded an AUC of 0.87{+-}0.02. The improvement by using multiple feature metrics was statistically

  10. Neutrosophic Features for Image Retrieval

    Directory of Open Access Journals (Sweden)

    A.A. Salama


    Full Text Available The goal of an Image Retrieval System is to retrieve images that are relevant to the user's request from a large image collection. In this paper, we present texture features for images embedded in the neutrosophic domain. The aim is to extract a set of features to represent the content of each image in the training database to be used for the purpose of retrieving images from the database similar to the image under consideration.


    National Research Council Canada - National Science Library

    Maria Dorina Pasca


    ...), how (the problem can be solved). Some of the most important features that contribute to solving student problems are the counselor's deontology, trustworthiness and attitude that are to be relied on without impeding the client's personality traits. Thus, developing awareness of the features underlying student psychological counseling and acting accordingly is the real test for any professional in the field. Therefore, the real challenge is not being in the lion's den, but living with it.

  12. Exploring the limits of identifying sub-pixel thermal features using ASTER TIR data (United States)

    Vaughan, R.G.; Keszthelyi, L.P.; Davies, A.G.; Schneider, D.J.; Jaworowski, C.; Heasler, H.


    Understanding the characteristics of volcanic thermal emissions and how they change with time is important for forecasting and monitoring volcanic activity and potential hazards. Satellite instruments view volcanic thermal features across the globe at various temporal and spatial resolutions. Thermal features that may be a precursor to a major eruption, or indicative of important changes in an on-going eruption can be subtle, making them challenging to reliably identify with satellite instruments. The goal of this study was to explore the limits of the types and magnitudes of thermal anomalies that could be detected using satellite thermal infrared (TIR) data. Specifically, the characterization of sub-pixel thermal features with a wide range of temperatures is considered using ASTER multispectral TIR data. First, theoretical calculations were made to define a "thermal mixing detection threshold" for ASTER, which quantifies the limits of ASTER's ability to resolve sub-pixel thermal mixing over a range of hot target temperatures and % pixel areas. Then, ASTER TIR data were used to model sub-pixel thermal features at the Yellowstone National Park geothermal area (hot spring pools with temperatures from 40 to 90 ??C) and at Mount Erebus Volcano, Antarctica (an active lava lake with temperatures from 200 to 800 ??C). Finally, various sources of uncertainty in sub-pixel thermal calculations were quantified for these empirical measurements, including pixel resampling, atmospheric correction, and background temperature and emissivity assumptions.

  13. Functional Programming Using F#

    DEFF Research Database (Denmark)

    Hansen, Michael Reichhardt; Rischel, Hans

    This comprehensive introduction to the principles of functional programming using F# shows how to apply basic theoretical concepts to produce succinct and elegant programs. It demonstrates the role of functional programming in a wide spectrum of applications including databases and systems....... Coverage also includes advanced features in the .NET library, the imperative features of F# and topics such as text processing, sequences, computation expressions and asynchronous computation. With a broad spectrum of examples and exercises, the book is perfect for courses in functional programming...... and for self-study. Enhancing its use as a text is an accompanying website with downloadable programs, lecture slides, a mini-projects and links to further F# sources....

  14. A Mixed Feature Selection Method Considering Interaction


    Zilin Zeng; Hongjun Zhang; Rui Zhang; Youliang Zhang


    Feature interaction has gained considerable attention recently. However, many feature selection methods considering interaction are only designed for categorical features. This paper proposes a mixed feature selection algorithm based on neighborhood rough sets that can be used to search for interacting features. In this paper, feature relevance, feature redundancy, and feature interaction are defined in the framework of neighborhood rough sets, the neighborhood interaction weight factor refle...

  15. Towards a Unified Programming Language

    DEFF Research Database (Denmark)

    Madsen, Ole Lehrmann


    style and where more research is needed. In addition to traditional paradigms such as object-oriented-, imperative-functional- and logic programming, we also discuss concurrent programming and prototype-based programming. We discuss language features such as the BETA pattern construct, virtual...

  16. The CRAFT Fortran Programming Model

    Directory of Open Access Journals (Sweden)

    Douglas M. Pase


    Full Text Available Many programming models for massively parallel machines exist, and each has its advantages and disadvantages. In this article we present a programming model that combines features from other programming models that (1 can be efficiently implemented on present and future Cray Research massively parallel processor (MPP systems and (2 are useful in constructing highly parallel programs. The model supports several styles of programming: message-passing, data parallel, global address (shared data, and work-sharing. These styles may be combined within the same program. The model includes features that allow a user to define a program in terms of the behavior of the system as a whole, where the behavior of individual tasks is implicit from this systemic definition. (In general, features marked as shared are designed to support this perspective. It also supports an opposite perspective, where a program may be defined in terms of the behaviors of individual tasks, and a program is implicitly the sum of the behaviors of all tasks. (Features marked as private are designed to support this perspective. Users can exploit any combination of either set of features without ambiguity and thus are free to define a program from whatever perspective is most appropriate to the problem at hand.

  17. Standard Review Plan Maintenance Program implementing procedures document

    Energy Technology Data Exchange (ETDEWEB)



    The implementing Procedures Document (IPD) was developed by the Inspection Program Projects Branch, Office of Nuclear Reactor Regulation, with assistance from Pacific Northwest National Laboratory, for the Standard Review Plan Maintenance Program (SRP-MP). The SRP-MP was established to maintain the Standard Review Plan (SRP) on an on-going basis. The IPD provides guidance, including an overall approach and procedures, for SRP-MP tasks. The objective of the IPD is to ensure that modifications to SRP need to reflect current NRC requirements and guidance are identified and that a consistent methodology is used to develop and revise SRP sections.

  18. Boreal Forest Watch: A BOREAS Outreach Program (United States)

    Rock, Barrett N.


    The Boreal Forest Watch program was initiated in the fall of 1994 to act as an educational outreach program for the BOREAS project in both the BOREAS Southern Study Area (SSA) and Northern Study Area (NSA). Boreal Forest Watch (13FW) was designed to introduce area high school teachers and their students to the types of research activities occurring as part of the BOREAS study of Canadian boreal forests. Several teacher training workshops were offered to teachers from central and northern Saskatchewan and northern Manitoba between May, 1995 and February, 1999; teachers were introduced to techniques for involving their students in on-going environmental monitoring studies within local forested stands. Boreal Forest Watch is an educational outreach program which brings high school students and research scientists together to study the forest and foster a sustainable relationship between people and the planetary life-support system we depend upon. Personnel from the University of New Hampshire (UNH), Complex Systems Research Center (CSRC), with the cooperation from the Prince Albert National Park (PANP), instituted this program to help teachers within the BOREAS Study Areas offer real science research experience to their students. The program has the potential to complement large research projects, such as BOREAS, by providing useful student- collected data to scientists. Yet, the primary goal of BFW is to allow teachers and students to experience a hands-on, inquiry-based approach to leaming science - emulating the process followed by research scientists. In addition to introducing these teachers to on-going BOREAS research, the other goals of the BFW program were to: 1) to introduce authentic science topics and methods to students and teachers through hands-on, field-based activities; and, 2) to build a database of student-collected environmental monitoring data for future global change studies in the boreal region.

  19. Special feature on imaging systems and techniques (United States)

    Yang, Wuqiang; Giakos, George


    The IEEE International Conference on Imaging Systems and Techniques (IST'2012) was held in Manchester, UK, on 16-17 July 2012. The participants came from 26 countries or regions: Austria, Brazil, Canada, China, Denmark, France, Germany, Greece, India, Iran, Iraq, Italy, Japan, Korea, Latvia, Malaysia, Norway, Poland, Portugal, Sweden, Switzerland, Taiwan, Tunisia, UAE, UK and USA. The technical program of the conference consisted of a series of scientific and technical sessions, exploring physical principles, engineering and applications of new imaging systems and techniques, as reflected by the diversity of the submitted papers. Following a rigorous review process, a total of 123 papers were accepted, and they were organized into 30 oral presentation sessions and a poster session. In addition, six invited keynotes were arranged. The conference not only provided the participants with a unique opportunity to exchange ideas and disseminate research outcomes but also paved a way to establish global collaboration. Following the IST'2012, a total of 55 papers, which were technically extended substantially from their versions in the conference proceeding, were submitted as regular papers to this special feature of Measurement Science and Technology . Following a rigorous reviewing process, 25 papers have been finally accepted for publication in this special feature and they are organized into three categories: (1) industrial tomography, (2) imaging systems and techniques and (3) image processing. These papers not only present the latest developments in the field of imaging systems and techniques but also offer potential solutions to existing problems. We hope that this special feature provides a good reference for researchers who are active in the field and will serve as a catalyst to trigger further research. It has been our great pleasure to be the guest editors of this special feature. We would like to thank the authors for their contributions, without which it would

  20. Feature space analysis of MRI (United States)

    Soltanian-Zadeh, Hamid; Windham, Joe P.; Peck, Donald J.


    This paper presents development and performance evaluation of an MRI feature space method. The method is useful for: identification of tissue types; segmentation of tissues; and quantitative measurements on tissues, to obtain information that can be used in decision making (diagnosis, treatment planning, and evaluation of treatment). The steps of the work accomplished are as follows: (1) Four T2-weighted and two T1-weighted images (before and after injection of Gadolinium) were acquired for ten tumor patients. (2) Images were analyed by two image analysts according to the following algorithm. The intracranial brain tissues were segmented from the scalp and background. The additive noise was suppressed using a multi-dimensional non-linear edge- preserving filter which preserves partial volume information on average. Image nonuniformities were corrected using a modified lowpass filtering approach. The resulting images were used to generate and visualize an optimal feature space. Cluster centers were identified on the feature space. Then images were segmented into normal tissues and different zones of the tumor. (3) Biopsy samples were extracted from each patient and were subsequently analyzed by the pathology laboratory. (4) Image analysis results were compared to each other and to the biopsy results. Pre- and post-surgery feature spaces were also compared. The proposed algorithm made it possible to visualize the MRI feature space and to segment the image. In all cases, the operators were able to find clusters for normal and abnormal tissues. Also, clusters for different zones of the tumor were found. Based on the clusters marked for each zone, the method successfully segmented the image into normal tissues (white matter, gray matter, and CSF) and different zones of the lesion (tumor, cyst, edema, radiation necrosis, necrotic core, and infiltrated tumor). The results agreed with those obtained from the biopsy samples. Comparison of pre- to post-surgery and radiation

  1. Improvements and new features in the PDF module (United States)

    Norris, Andrew T.


    This viewgraph presentation discusses what models are used in this package and what their advantages and disadvantages are, how the probability density function (PDF) model is implemented and the features of the program, and what can be expected in the future from the NASA Lewis PDF code.

  2. Teaching Practices and Peer Network Features in Elementary Classrooms (United States)

    Gest, Scott D.; Rodkin, Philip C.


    The long-term goal of this program of research is to clarify how teachers may influence features of peer networks that, in turn, may affect students' perceptions of social support, achievement-related beliefs and academic achievement. As a first step in this process, in this study the authors focus on identifying teaching practices that are…

  3. Domain-specific language design requires feature descriptions

    NARCIS (Netherlands)

    A. van Deursen (Arie); P. Klint (Paul)


    textabstractA domain-specific language (DSL) provides a notation tailored towards an application domain and is based on the relevant concepts and features of that domain. As such, a DSL is a means to describe and generate members of a family of programs in the domain. A prerequisite for the design

  4. Computational features of the dictionary application “TshwaneLex ...

    African Journals Online (AJOL)

    The aim of this article is to introduce and to elaborate on computational aspects of TshwaneLex, a new South African software application for dictionary compilation. A brief introduction to the lexicographic needs for such a computer program in South Africa will be given, followed by a description of the most salient features of ...

  5. Statistical features of quantum evolution

    Indian Academy of Sciences (India)

    Home; Journals; Pramana – Journal of Physics; Volume 73; Issue 2. Statistical features of ... Abstract. It is shown that the integral of the uncertainty of energy with respect to time is independent of the particular Hamiltonian of the quantum system for an arbitrary pseudo-unitary (and hence P T -) quantum evolution. The result ...

  6. Dynamic Features for Iris Recognition. (United States)

    da Costa, R M; Gonzaga, A


    The human eye is sensitive to visible light. Increasing illumination on the eye causes the pupil of the eye to contract, while decreasing illumination causes the pupil to dilate. Visible light causes specular reflections inside the iris ring. On the other hand, the human retina is less sensitive to near infra-red (NIR) radiation in the wavelength range from 800 nm to 1400 nm, but iris detail can still be imaged with NIR illumination. In order to measure the dynamic movement of the human pupil and iris while keeping the light-induced reflexes from affecting the quality of the digitalized image, this paper describes a device based on the consensual reflex. This biological phenomenon contracts and dilates the two pupils synchronously when illuminating one of the eyes by visible light. In this paper, we propose to capture images of the pupil of one eye using NIR illumination while illuminating the other eye using a visible-light pulse. This new approach extracts iris features called "dynamic features (DFs)." This innovative methodology proposes the extraction of information about the way the human eye reacts to light, and to use such information for biometric recognition purposes. The results demonstrate that these features are discriminating features, and, even using the Euclidean distance measure, an average accuracy of recognition of 99.1% was obtained. The proposed methodology has the potential to be "fraud-proof," because these DFs can only be extracted from living irises.

  7. Features Related to Faunal Activity

    NARCIS (Netherlands)

    Kooistra, M.J.; Pulleman, M.M.


    Soil fauna plays an important role in transporting and altering various soil components, in particular the decomposition of organic matter and the development of soil structure. Fauna-induced features are found in all types of soils and can be so abundant that they determine the nature and intensity

  8. Feature Selection in Scientific Applications

    Energy Technology Data Exchange (ETDEWEB)

    Cantu-Paz, E; Newsam, S; Kamath, C


    Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in mind, and therefore, the data might contain irrelevant or redundant features that affect negatively the accuracy of the induction algorithms. The size and dimensionality of typical scientific data make it difficult to use any available domain information to identify features that discriminate between the classes of interest. Similarly, exploratory data analysis techniques have limitations on the amount and dimensionality of the data that can be effectively processed. In this paper, we describe applications of efficient feature selection methods to data sets from astronomy, plasma physics, and remote sensing. We use variations of recently proposed filter methods as well as traditional wrapper approaches where practical. We discuss the importance of these applications, the general challenges of feature selection in scientific datasets, the strategies for success that were common among our diverse applications, and the lessons learned in solving these problems.

  9. Fractal transforms and feature invariance

    NARCIS (Netherlands)

    B.A.M. Schouten (Ben); P.M. de Zeeuw (Paul)


    htmlabstractIn this paper, fractal transforms are employed with the aim of image recognition. It is known that such transforms are highly sensitive to distortions like a small shift of an image. However, by using features based on statistics kept during the actual decomposition we can derive

  10. Features of Diphtheria in Children

    Directory of Open Access Journals (Sweden)

    O.K. Koloskova


    Full Text Available The lecture describes the etiology, epidemiology, classification and clinical features of diphtheria in children, taking into account various sites, covers the issues of diagnosis. Treatment for diphtheria in children is carried as per the order of Ministry of Healthcare of Ukraine № 354 dated July 9, 2004 in accordance with the form and severity of the disease.

  11. Feature-level domain adaptation

    DEFF Research Database (Denmark)

    Kouw, Wouter M.; Van Der Maaten, Laurens J P; Krijthe, Jesse H.


    Domain adaptation is the supervised learning setting in which the training and test data are sampled from different distributions: training data is sampled from a source domain, whilst test data is sampled from a target domain. This paper proposes and studies an approach, called feature...

  12. Faithful Contrastive Features in Learning (United States)

    Tesar, Bruce


    This article pursues the idea of inferring aspects of phonological underlying forms directly from surface contrasts by looking at optimality theoretic linguistic systems (Prince & Smolensky, 1993/2004). The main result proves that linguistic systems satisfying certain conditions have the faithful contrastive feature property: Whenever 2…

  13. Goldenhar syndrome with unusual features

    Directory of Open Access Journals (Sweden)

    Mehta Bijal


    Full Text Available We report here the case of a 17 year-old girl with the classic signs of Goldenhar syndrome in the form of multiple accessory tragi, bilateral ocular dermoids, mandibular hypoplasia (micrognathia and cervical lordosis. She also had a high arched palate, gingival hypertrophy and malaligned teeth, features which are as yet unreported.

  14. Utility green pricing programs: A statistical analysis of program effectiveness

    Energy Technology Data Exchange (ETDEWEB)

    Wiser, Ryan; Olson, Scott; Bird, Lori; Swezey, Blair


    Development of renewable energy. Such programs have grown in number in recent years. The design features and effectiveness of these programs varies considerably, however, leading a variety of stakeholders to suggest specific marketing and program design features that might improve customer response and renewable energy sales. This report analyzes actual utility green pricing program data to provide further insight into which program features might help maximize both customer participation in green pricing programs and the amount of renewable energy purchased by customers in those programs. Statistical analysis is performed on both the residential and non-residential customer segments. Data comes from information gathered through a questionnaire completed for 66 utility green pricing programs in early 2003. The questionnaire specifically gathered data on residential and non-residential participation, amount of renewable energy sold, program length, the type of renewable supply used, program price/cost premiums, types of consumer research and program evaluation performed, different sign-up options available, program marketing efforts, and ancillary benefits offered to participants.

  15. Research potential and cognitive features of students.

    Directory of Open Access Journals (Sweden)

    Bordovskaia N.V.


    Full Text Available This article examines the theoretical and methodological justifications for studying students’ research potential. It presents proof of the isomorphic nature of human research activity and research potential as well as of the fluid nature of its development: from research-like behavior to science-based research activity. It defines three functional components (motivational, cognitive, and behavioral that form the structure of research potential. It further presents the results of empirically studying the cognitive features of master’s students possessing different levels of research potential. It provides data on the dynamics of research-potential components at different educational levels (bachelor’s and master’s programs. Special attention is given to a comparative analysis of evaluations by research tutors regarding their students’ research potential and of the indicators obtained using psychodiagnostic methods.

  16. Clitic doubling and pure agreement person features

    Directory of Open Access Journals (Sweden)

    Ricardo Machado Rocha


    Full Text Available In this paper, we analyze clitic doubling constructions in dialectal non-standard Brazilian Portuguese. Within the Minimalism Framework, we explain very peculiar aspects of the doubled structures in this language, namely the fact that they occur only for 1st and 2nd person pronouns and that they co-vary with single clitic structures and single strong pronoun structures. Our approach assumes that the clitics me and te are hosted by a dedicated functional projection and result from the checking of the sole person feature [speaker:±]. Moreover, we show that, unlikely other cross-linguistic phenomena of pronominal doubling, Brazilian Portuguese Clitic Doubling does neither yield (nor is a result of any interpretive effect, but rather is an instance of a pure agreement chain. This leads us to advocate, contra the standard Minimalist Program, for the validity of the conceptual postulation of AgrP, as a condition on well-formedness of certain structures.

  17. Method for transforming a feature vector

    NARCIS (Netherlands)

    Veldhuis, Raymond N.J.; Chen, C.; Kevenaar, Thomas A.M.; Akkermans, Antonius H.M.


    The present invention relates to a method for transforming a feature vector comprising a first and a second feature represented by a first and a second feature value, respectively, into a feature code using an encoder, said feature code usable in an algorithm and having a predetermined number of

  18. Forest Watch: A K-12 Outreach Program to Engage Pre-College Students in Authentic, Hands-On Science (United States)

    Gagnon, M. T.; Rock, B. N.


    The Forest Watch Program is a K-12 hands-on science outreach program developed at the University of New Hampshire (UNH) in 1991. The program has engaged students and their teachers in assisting researchers at UNH in the assessment of the state-of-health of white pine (Pinus strobus), a known bio-indicator species for exposure to elevated levels of ground-level ozone. Students are introduced to the scientific method while participating in an authentic on-going research program. The program was designed in partnership with participating teachers, and thus the field and classroom activities meet specific New England state science and mathematics curricula standards for K-12 education. Student participation in Forest Watch has resulted in an improved understanding and characterization of inter-annual white pine response to changes in air quality across the region over the past two decades. Forest Watch, students participate in three types of activities: 1. the analysis of remote sensing data (Landsat TM) provided for their local area using MultiSpec freeware. Through image processing, students learn the concepts of spatial and spectral resolution; how to identify landcover features; how plants interact with visible and infrared energy; and how to use this information to determine vegetation types and identify vegetation conditions. 2. students select 5 white pine trees to be permanently tagged near their school within a 30x30 meter (pixel sized sampling plot - the spatial resolution of the TM dataset), followed by collection and analysis of needle samples, and a suite of forest plot biometric measurements such as tree height, diameter at breast height (DBH), and canopy closure and ground cover. 3. the students send a set of their needle samples to UNH for spectral analysis of key reflectance features such as the Red Edge Inflection Point (REIP), the TM 5/4 moisture stress index, and the NIR 3/1. Over 250 schools from all six New England states have participated in the

  19. Functional Programming in C# Classic Programming Techniques for Modern Projects

    CERN Document Server

    Sturm, Oliver


    Take advantage of the growing trend in functional programming. C# is the number-one language used by .NET developers and one of the most popular programming languages in the world. It has many built-in functional programming features, but most are complex and little understood. With the shift to functional programming increasing at a rapid pace, you need to know how to leverage your existing skills to take advantage of this trend. Functional Programming in C# leads you along a path that begins with the historic value of functional ideas. Inside, C# MVP and functional programming expert Oli

  20. Programming in biomolecular computation

    DEFF Research Database (Denmark)

    Hartmann, Lars Røeboe; Jones, Neil; Simonsen, Jakob Grue


    Our goal is to provide a top-down approach to biomolecular computation. In spite of widespread discussion about connections between biology and computation, one question seems notable by its absence: Where are the programs? We identify a number of common features in programming that seem...... conspicuously absent from the literature on biomolecular computing; to partially redress this absence, we introduce a model of computation that is evidently programmable, by programs reminiscent of low-level computer machine code; and at the same time biologically plausible: its functioning is defined...... by a single and relatively small set of chemical-like reaction rules. Further properties: the model is stored-program: programs are the same as data, so programs are not only executable, but are also compilable and interpretable. It is universal: all computable functions can be computed (in natural ways...

  1. MIDI Programming in Scheme

    DEFF Research Database (Denmark)

    Nørmark, Kurt


    makes it possible to carry out systematic modifications and transformations of MIDI contents with use of pure functional programming. Side by side with the XML-inspired MIDI language, the paper describes an Emacs-based, textual programming environment that supports the MIDI programming process....... The programming environment also supports a variety of interactive features - similar to MIDI sequencers - but restricted to a textual representation of the music. The main contributions of the work are considered to be (1) An accumulated MIDI function library, which can transform MIDI files in many non......-trivial ways; (2) A proposed working process alternating between creative mode and programmatic editing mode within a MIDI programming environment; and (3) A textual MIDI programming environment with embedded support of many interactive, MIDI-related functionalities....

  2. A unified approach to feature-centric analysis of object-oriented software

    DEFF Research Database (Denmark)

    Olszak, Andrzej; Jørgensen, Bo Nørregaard


    Feature-centric comprehension of software is a prerequisite to incorporating modifications requested by users during software evolution and maintenance. However, feature-centric understanding of large object-oriented programs is difficult to achieve due to size, complexity and implicit cha......-racter of mappings between features and source code. In this paper, we address these issues through our unified approach to feature-centric analysis of object-oriented software. Our approach supports discovery of feature-code traceability links and their analysis from three perspectives and at three levels...... of abstraction. We further improve scalability of analysis by partitioning features into canonical groups. To demonstrate feasibility our approach, we use our NetBeans-integrated tool Featureous for conducting a case study of feature-centric analysis of the JHotDraw project. Lastly, we discuss how Featureous...

  3. The Use of Molecular Modeling Programs in Medicinal Chemistry Instruction. (United States)

    Harrold, Marc W.


    This paper describes and evaluates the use of a molecular modeling computer program (Alchemy II) in a pharmaceutical education program. Provided are the hardware requirements and basic program features as well as several examples of how this program and its features have been applied in the classroom. (GLR)

  4. Validity maintenance in semantic feature modeling

    NARCIS (Netherlands)

    Bidarra de Almeida, A.R.E.


    Feature modeling has the ability to associate functional and engineering information to shape information in a product model. Current feature modeling systems, however, are still rather tied to techniques of conventional geometric modeling systems, offering limited facilities for defining feature

  5. Semisupervised Feature Selection with Universum

    Directory of Open Access Journals (Sweden)

    Junyang Qiu


    Full Text Available The Universum data, defined as a set of unlabeled examples that do not belong to any class of interest, have been shown to encode some prior knowledge by representing meaningful information in the same domain as the problem at hand. Universum data have been proved effective in improving learning performance in many tasks, such as classification and clustering. Inspired by its favorable performance, we address a novel semisupervised feature selection problem in this paper, called semisupervised feature selection with Universum, that can simultaneously exploit the unlabeled data and the Universum data. The experiments on several UCI data sets are presented to show that the proposed algorithms can achieve superior performances over conventional unsupervised and supervised methods.

  6. Manipulating scattering features by metamaterials

    Directory of Open Access Journals (Sweden)

    Lu Cui


    Full Text Available We present a review on manipulations of electromagnetic scattering features by using metamaterials or metasurfaces. Several approaches in controlling the scattered fields of objects are presented, including invisibility cloaks and radar illusions based on transformation optics, carpet cloak using gradient metamaterials, dc cloaks, mantle cloaks based on scattering cancellation, “skin” cloaks using phase compensation, scattering controls with coding/programmable metasurfaces, and scattering reductions by multilayered structures. Finally, the future development of metamaterials on scattering manipulation is predicted.

  7. Integrated reporting and board features


    Rares HURGHIS


    In the last two decades the concept of sustainability reporting gained more importance in the companies’ annual reports, a trend which is embedded also in integrated reporting. Issuing an integrated report became a necessity, because the report explains to the investors how the organization creates value over time. The governance structure, more exactly the board of directors, decides whether or not the company will issue an integrated report. Thus, are there certain features of the board tha...

  8. Cherubism: Clinicoradiographic Features and Treatment

    Directory of Open Access Journals (Sweden)

    Luiz Antonio Guimarães Cabral


    Full Text Available Objectives: Cherubism is a congenital childhood disease of autosomal dominant inheritance. This disease is characterized by painless bilateral enlargement of the jaws, in which bone is replaced with fibrous tissue. The condition has sui generis clinical, radiographic and histological features, of which the clinician should be aware for a better differential diagnosis in the presence of a fibro-osseous lesion affecting the bones of the maxillomandibular complex. The purpose of present paper was to review the literature and to report the most important aspects of cherubism in order to facilitate the study of this disease.Material and Methods: Literature was reviewed about cherubism, emphasizing the relevant clinicoradiographic features and treatment. Literature was selected through a search of PubMed and Scielo electronic databases. The keywords used for search were adolescent, cherubism, cherubism/physiopathology, cherubism/treatment, cherubism/radiography. A manual search of the reference lists of the identified articles and the authors’ article files and recent reviews was conducted to identify additional publications. Those studies that described new features about cherubism were included in this review.Results: In total 44 literature sources were obtained and reviewed. Studies that described new features about cherubism physiopathology, diagnostics and treatment were reviewed.Conclusions: Despite the exceptions, cherubism is a clinically well-characterized disease. In cases of a suspicion of cherubism, radiographic examination is essential since the clinical presentation, the location and distribution of the lesions may define the diagnosis. Histopathological examination is complementary. Nowadays, genetic tests should be used for final diagnosis of cherubism.

  9. Cherubism: Clinicoradiographic Features and Treatment (United States)

    Almeida, Janete Dias; Cabral, Luiz Antonio Guimarães


    ABSTRACT Objectives Cherubism is a congenital childhood disease of autosomal dominant inheritance. This disease is characterized by painless bilateral enlargement of the jaws, in which bone is replaced with fibrous tissue. The condition has sui generis clinical, radiographic and histological features, of which the clinician should be aware for a better differential diagnosis in the presence of a fibro-osseous lesion affecting the bones of the maxillomandibular complex. The purpose of present paper was to review the literature and to report the most important aspects of cherubism in order to facilitate the study of this disease Material and Methods Literature was reviewed about cherubism, emphasizing the relevant clinicoradiographic features and treatment. Literature was selected through a search of PubMed and Scielo electronic databases. The keywords used for search were adolescent, cherubism, cherubism/physiopathology, cherubism/treatment, cherubism/radiography. A manual search of the reference lists of the identified articles and the authors' article files and recent reviews was conducted to identify additional publications. Those studies that described new features about cherubism were included in this review. Results In total 44 literature sources were obtained and reviewed. Studies that described new features about cherubism physiopathology, diagnostics and treatment were reviewed. Conclusions Despite the exceptions, cherubism is a clinically well-characterized disease. In cases of a suspicion of cherubism, radiographic examination is essential since the clinical presentation, the location and distribution of the lesions may define the diagnosis. Histopathological examination is complementary. Nowadays, genetic tests should be used for final diagnosis of cherubism. PMID:24421967

  10. Cherubism: Clinicoradiographic Features and Treatment


    Luiz Antonio Guimarães Cabral; Janete Dias Almeida; Gabriela de Morais Gouvêa Lima


    ABSTRACT Objectives Cherubism is a congenital childhood disease of autosomal dominant inheritance. This disease is characterized by painless bilateral enlargement of the jaws, in which bone is replaced with fibrous tissue. The condition has sui generis clinical, radiographic and histological features, of which the clinician should be aware for a better differential diagnosis in the presence of a fibro-osseous lesion affecting the bones of the maxillomandibular complex. The purpose of present ...

  11. Combining macro and micro features for writer identification (United States)

    Lee, Sangjik; Cha, Sung-Hyuk; Srihari, Sargur N.


    In our previous work of writer identification, a database of handwriting samples (written in English) of over one thousand individuals was created, and two types of computer-generated features of sample handwriting were extracted: macro and micro features. Using these features, writer identification experiments were performed: given that a document is written by one of n writers, the task is to determine the writer. With n = 2, we correctly determined the writer with a 99% accuracy using only 10-character micro features in the writing; with n = 1000, the accuracy is dropped to 80%. To obtain higher performance, we propose a combination of macro and micro level features. First, macro level features are used in a filtering model: the computer program is presented with multiple handwriting samples from a large number (1000) of writers, and the question posed is: Which of the samples are consistent with a test sample? As a result of using the filtering model, a reduced set of documents (100) is obtained and presented to the final identification model which uses the micro level features. We improved our writer identification system from 80% to 87.5% by the proposed filtering-combination technique when n = 1000.

  12. Feature-based tolerancing for intelligent inspection process definition

    Energy Technology Data Exchange (ETDEWEB)

    Brown, C.W.


    This paper describes a feature-based tolerancing capability that complements a geometric solid model with an explicit representation of conventional and geometric tolerances. This capability is focused on supporting an intelligent inspection process definition system. The feature-based tolerance model`s benefits include advancing complete product definition initiatives (e.g., STEP -- Standard for Exchange of Product model dam), suppling computer-integrated manufacturing applications (e.g., generative process planning and automated part programming) with product definition information, and assisting in the solution of measurement performance issues. A feature-based tolerance information model was developed based upon the notion of a feature`s toleranceable aspects and describes an object-oriented scheme for representing and relating tolerance features, tolerances, and datum reference frames. For easy incorporation, the tolerance feature entities are interconnected with STEP solid model entities. This schema will explicitly represent the tolerance specification for mechanical products, support advanced dimensional measurement applications, and assist in tolerance-related methods divergence issues.

  13. Melancholic features related to rimonabant. (United States)

    de Mattos Viana, Bernardo; Prais, Hugo Alejandro Cano; Daker, Maurício Viotti


    Obesity is currently considered a global epidemic and its prevention and treatment is a major public health concern, demanding treatment which may combine a sociocultural approach, lifestyle modification, nutritional, pharmacological or surgical strategies. Rimonabant, an endocannabinoid antagonist, has been proposed as an agent for an average weight loss of 4 kg. However, the development of anxiety and depressive symptoms can be major side effects. A 27-year-old businessman, after using rimonabant (20 mg/day) for 1 month for weight loss, developed a major depressive episode with melancholic features, which remitted after the interruption of rimonabant. To our knowledge, a major depressive episode with melancholic or atypical features specifier has not been described since the initiation of rimonabant pharmacological trials. The Hospital Anxiety and Depression Scale, used in the rimonabant trials, assesses several key points of depressive patients. However, it neglects the somatic symptoms that correspond to the additional criterion for both of the mentioned features as well as suicidal ideation. The severity of an episode could also be underestimated depending on the assessment tool or on the clinical interview. There may be an underestimation of depressive melancholic and atypical side effects related to Rimonabant use, due to the lack of consistent assessment with the appropriate screening tools. Pharmacological strategies should be adjunctive for obesity treatment when there is a failure in the lifestyle and nutritional modification strategies. Moreover, deeper global sociocultural changes should be made in the treatment and control of the global obesity epidemic.

  14. Dissociative features of fibromyalgia syndrome. (United States)

    Berkol, Tonguc D; Balcioglu, Yasin H; Kirlioglu, Simge S; Erensoy, Habib; Vural, Meltem


    To assess the relationships between the dissociative features of FMS and the pain, psychological status, and functional status. Twenty-seven women with fibromyalgia syndrome (FMS) and 24 controls from the Istanbul Physical Medicine and Rehabilitation Hospital (2013-2015) were included in this cross-sectional study. The Diagnostic and Statistical Manual of Mental Disorders Structured Clinical Interview for Axis I Disorders was used to evaluate the participants. A visual analogous scale (VAS), Fibromyalgia Impact Questionnaire (FIQ), Beck Depression Inventory (BDI), and Beck Anxiety Inventory (BAI) were used to assess the levels of pain, quality of sleep and functional and psychological statuses. The Dissociative Experiences Scale (DES) was used to evaluate the dissociative features. The BDI, BAI and DES scores were statistically significantly higher in the cases of FMS. There were remarkable associations between all but 2 of the DES and FIQ scores, while positive correlations were found between the DES and, VAS pain and sleep quality scores. The prevalences of current and lifelong dysthymia, and major depressive disorder; not otherwise specified, common anxiety and somatoform disorders were higher in the cases of FMS. Pain, physical function and emotional status appear to be associated with dissociative features in FMS. Further studies are required to define these relationships and improve treatment.

  15. Imaging features of aggressive angiomyxoma

    Energy Technology Data Exchange (ETDEWEB)

    Jeyadevan, N.N.; Sohaib, S.A.A.; Thomas, J.M.; Jeyarajah, A.; Shepherd, J.H.; Fisher, C


    AIM: To describe the imaging features of aggressive angiomyxoma in a rare benign mesenchymal tumour most frequently arising from the perineum in young female patients. MATERIALS AND METHODS: We reviewed the computed tomography (CT) and magnetic resonance (MR) imaging features of patients with aggressive angiomyxoma who were referred to our hospital. The imaging features were correlated with clinical information and pathology in all patients. RESULTS: Four CT and five MR studies were available for five patients (all women, mean age 39, range 24-55). Three patients had recurrent tumour at follow-up. CT and MR imaging demonstrated a well-defined mass-displacing adjacent structures. The tumour was of low attenuation relative to muscle on CT. On MR, the tumour was isointense relative to muscle on T1-weighted image, hyperintense on T2-weighted image and enhanced avidly after gadolinium contrast with a characteristic 'swirled' internal pattern. MR imaging demonstrates the extent of the tumour and its relation to the pelvic floor. Recurrent tumour has a similar appearance to the primary lesion. CONCLUSION: The MR appearances of aggressive angiomyxomas are characteristic, and the diagnosis should be considered in any young woman presenting with a well-defined mass arising from the perineum. Jeyadevan, N. N. etal. (2003). Clinical Radiology58, 157--162.

  16. Benign dermoscopic features in melanoma. (United States)

    Di Stefani, A; Massone, C; Soyer, H P; Zalaudek, I; Argenziano, G; Arzberger, E; Lozzi, G P; Chimenti, S; Hofmann-Wellenhof, R


    Various dermoscopic features are usually associated with benign melanocytic lesions. Our objective was to determine frequency and extension of benign dermoscopic features (BDF) in melanoma. Retrospective review of dermoscopic images of a consecutive series of 516 histopathologically proven melanomas collected in 6 years in Graz. Correlation of BDF with mean Breslow thickness, with presence/absence of associated benign nevus component and with the pre-operative clinico-dermoscopic diagnosis, as reported on the original histopathologic reports. In addition to melanoma specific criteria, 42% of melanomas showed BDF. In 12.3% cases, the benign features occupied more than the half of the lesion. The BDF typical pigment network, homogeneous pattern and regular globules/cobblestone pattern had the highest frequency. BDF were associated with relatively thinner melanomas (mean Breslow thickness of 0.51 mm). The presence of BDF was observed in 67.1% of histopathologically documented nevus-associated melanoma and in 35.7% of melanoma de novo. A pre-operative clinico-dermoscopic diagnosis of melanoma was achieved in only 54.1% of cases displaying BDF. A significant proportion of melanomas may exhibit BDF. Clinicians should be aware of the presence of BDF in melanoma as possible diagnostic pitfall. © 2013 European Academy of Dermatology and Venereology.

  17. Temporal Feature Integration for Music Organisation


    Meng, Anders; Larsen, Jan; Hansen, Lars Kai


    This Ph.D. thesis focuses on temporal feature integration for music organisation. Temporal feature integration is the process of combining all the feature vectors of a given time-frame into a single new feature vector in order to capture relevant information in the frame. Several existing methods for handling sequences of features are formulated in the temporal feature integration framework. Two datasets for music genre classification have been considered as valid test-beds for music organisa...

  18. Programming C# Building NET Applications with C#

    CERN Document Server

    Liberty, Jesse


    Programming C#, the top-selling book on Microsoft's high-performance C# programming language, is now in its fourth edition. Aimed at experienced programmers and web developers, this comprehensive guide focuses on the features and programming patterns that are unique to C#, and fundamental to the programming of web services and web applications on Microsoft's .NET platform.

  19. Structural Features of Caspase-Activating Complexes

    Directory of Open Access Journals (Sweden)

    Hyun Ho Park


    Full Text Available Apoptosis, also called programmed cell death, is an orderly cellular suicide program that is critical for the development, immune regulation and homeostasis of a multi-cellular organism. Failure to control this process can lead to serious human diseases, including many types of cancer, neurodegenerative diseases, and autoimmununity. The process of apoptosis is mediated by the sequential activation of caspases, which are cysteine proteases. Initiator caspases, such as caspase-2, -8, -9, and -10, are activated by formation of caspase-activating complexes, which function as a platform to recruit caspases, providing proximity for self-activation. Well-known initiator caspase-activating complexes include (1 DISC (Death Inducing Signaling Complex, which activates caspases-8 and 10; (2 Apoptosome, which activates caspase-9; and (3 PIDDosome, which activates caspase-2. Because of the fundamental biological importance of capases, many structural and biochemical studies to understand the molecular basis of assembly mechanism of caspase-activating complexes have been performed. In this review, we summarize previous studies that have examined the structural and biochemical features of caspase-activating complexes. By analyzing the structural basis for the assembly mechanism of the caspase-activating complex, we hope to provide a comprehensive understanding of caspase activation by these important oligomeric complexes.

  20. Identification of Chemical Features Linked to Thyroperoxidase ... (United States)

    Disruption of maternal serum thyroid hormone (TH) adversely affects fetal neurodevelopment. Therefore, assay development within the US EPA ToxCast program is ongoing to enable screening for chemicals that may disrupt TH, in support of the Endocrine Disruption Screening Program (EDSP21). The AUR-TPO assay was recently developed to screen >1,000 ToxCast chemicals for potential thyroperoxidase (TPO) inhibition activity. TPO is critical for TH synthesis and is a known target of thyroid-disrupting chemicals. The bioactivity results from the AUR-TPO assay were used to identify chemical substructures associated with in vitro TPO inhibition. Substructure profiles were generated for each chemical in the ToxCast test set using the publicly-available ToxPrint 2.0 chemotypes. Chemotypes enriched among the putative TPO inhibitors were identified using a cumulative hypergeometric probability (p chemicals active in the AUR-TPO assay: aromatic alcohols, aromatic amines, thiocarbonyls and phosphothioates. Chemico-structural analysis of AUR-TPO screening results enabled the identification of chemical features that likely drive TPO inhibition in the AUR-TPO assay. This highlights the potential to identify thyroid-disrupting chemicals in silico using structural alerts identified by

  1. Ostomy Home Skills Program

    Medline Plus

    Full Text Available ... Safety Advanced Skills Course for Rural Surgeons Support the Work of the Nora Institute Featured Articles Nora Institute Mission The ... of Surgeons Professional Association State Legislative Action Center Leadership & Advocacy ... Quality Payment Program AMA House of Delegates ACS in the AMA House of Delegates ACS in the AMA ...

  2. Menu-Driven Solver Of Linear-Programming Problems (United States)

    Viterna, L. A.; Ferencz, D.


    Program assists inexperienced user in formulating linear-programming problems. A Linear Program Solver (ALPS) computer program is full-featured LP analysis program. Solves plain linear-programming problems as well as more-complicated mixed-integer and pure-integer programs. Also contains efficient technique for solution of purely binary linear-programming problems. Written entirely in IBM's APL2/PC software, Version 1.01. Packed program contains licensed material, property of IBM (copyright 1988, all rights reserved).

  3. Declarative programming in PROLOG

    Directory of Open Access Journals (Sweden)

    Felician ALECU


    Full Text Available The declarative programming by declarative languages is clearly the best option a programmer can have for a completely readable, flexible and extensible code. Today, the economics of programming is clearly focused on the declarative paradigm while most imperative languages are trying to become cost effective by using new added declarative features for productivity and ease of use, like the Java 8. This paper tries to demonstrate a declarative language like PROLOG is perfectly suitable to be used to solve even common programming issue, like deciding an element is part of an array or not.

  4. Programming Scala Scalability = Functional Programming + Objects

    CERN Document Server

    Wampler, Dean


    Learn how to be more productive with Scala, a new multi-paradigm language for the Java Virtual Machine (JVM) that integrates features of both object-oriented and functional programming. With this book, you'll discover why Scala is ideal for highly scalable, component-based applications that support concurrency and distribution. Programming Scala clearly explains the advantages of Scala as a JVM language. You'll learn how to leverage the wealth of Java class libraries to meet the practical needs of enterprise and Internet projects more easily. Packed with code examples, this book provides us

  5. Advanced Reactors Transition program fiscal year 1998 multi-year work plan

    Energy Technology Data Exchange (ETDEWEB)

    Gantt, D.A.


    The mission of the Advanced Reactors Transition program is two-fold. First, the program is to maintain the Fast Flux Test Facility (FFTF) and the Fuels and Materials Examination Facility (FMEF) in Standby to support a possible future role in the tritium production strategy. Secondly, the program is to continue deactivation activities which do not conflict with the Standby directive. On-going deactivation activities include the processing of non-usable, irradiated, FFTF components for storage or disposal; deactivation of Nuclear Energy legacy test facilities; and deactivation of the Plutonium Recycle Test Reactor (PRTR) facility, 309 Building.

  6. A Program for Introducing Information Literacy to Commercial Art and Design Students

    Directory of Open Access Journals (Sweden)

    David A. Walczak


    Full Text Available This paper describes the process of developing and implementing a comprehensive, school-wide, and sustainable information literacy program at a commercial art and design school. The program requires that information literacy student learning outcomes be included in specific General Education and art and design courses across the curriculum. The results of this multi-year effort indicate that while the program is sound, teaching information literacy is an on-going effort requiring much more training of faculty and students. Best practices in information literacy in library science and art and design literature are reviewed

  7. Java 7 New Features Cookbook

    CERN Document Server

    Reese, Richard M


    Each recipe comprises step-by-step instructions followed by an analysis of what was done in each task and other useful information. The book is designed so that you can read it chapter by chapter, or look at the list of recipes and refer to them in no particular order. Each example comes with its expected output to make your learning even easier. This book is designed to bring those who are familiar with Java up-to-speed on the new features found in Java 7.

  8. Spectral analyses of asteroids' linear features (United States)

    Longobardo, A.; Palomba, E.; Scully, J. E. C.; De Sanctis, M. C.; Capaccioni, F.; Tosi, F.; Zinzi, A.; Galiano, A.; Ammannito, E.; Filacchione, G.; Ciarniello, M.; Raponi, A.; Zambon, F.; Capria, M. T.; Erard, S.; Bockelee-Morvan, D.; Leyrat, C.; Dirri, F.; Nardi, L.; Raymond, C. A.


    Linear features are commonly found on small bodies and can have a geomorphic or tectonic origin. Generally, these features are studied by means of morphological analyses. Here we propose a spectroscopic analyses of linear features of different asteroids visited by space missions, in order to search for correspondence between spectral properties and origin of linear features.

  9. Some Questions about Feature Re-Assembly (United States)

    White, Lydia


    In this commentary, differences between feature re-assembly and feature selection are discussed. Lardiere's proposals are compared to existing approaches to grammatical features in second language (L2) acquisition. Questions are raised about the predictive power of the feature re-assembly approach. (Contains 1 footnote.)

  10. Integrated reporting and board features

    Directory of Open Access Journals (Sweden)

    Rares HURGHIS


    Full Text Available In the last two decades the concept of sustainability reporting gained more importance in the companies’ annual reports, a trend which is embedded also in integrated reporting. Issuing an integrated report became a necessity, because the report explains to the investors how the organization creates value over time. The governance structure, more exactly the board of directors, decides whether or not the company will issue an integrated report. Thus, are there certain features of the board that might influence the issue of an integrated report? Do the companies which issue an integrated report have certain features of the governance structure? Looking for an answer to these questions, we seek for any possible correlations between a disclosure index and the corporate governance structure characteristics, on a sample from the companies participating at the International Integrated Reporting Council Examples Database. The results highlight that only the size of the board influences the extent to which the issued integrated report is in accordance with the International Framework.

  11. Mixed features in bipolar disorder. (United States)

    Solé, Eva; Garriga, Marina; Valentí, Marc; Vieta, Eduard


    Mixed affective states, defined as the coexistence of depressive and manic symptoms, are complex presentations of manic-depressive illness that represent a challenge for clinicians at the levels of diagnosis, classification, and pharmacological treatment. The evidence shows that patients with bipolar disorder who have manic/hypomanic or depressive episodes with mixed features tend to have a more severe form of bipolar disorder along with a worse course of illness and higher rates of comorbid conditions than those with non-mixed presentations. In the updated Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5), the definition of "mixed episode" has been removed, and subthreshold nonoverlapping symptoms of the opposite pole are captured using a "with mixed features" specifier applied to manic, hypomanic, and major depressive episodes. However, the list of symptoms proposed in the DSM-5 specifier has been widely criticized, because it includes typical manic symptoms (such as elevated mood and grandiosity) that are rare among patients with mixed depression, while excluding symptoms (such as irritability, psychomotor agitation, and distractibility) that are frequently reported in these patients. With the new classification, mixed depressive episodes are three times more common in bipolar II compared with unipolar depression, which partly contributes to the increased risk of suicide observed in bipolar depression compared to unipolar depression. Therefore, a specific diagnostic category would imply an increased diagnostic sensitivity, would help to foster early identification of symptoms and ensure specific treatment, as well as play a role in suicide prevention in this population.

  12. MR features of ectopic pregnancy

    Energy Technology Data Exchange (ETDEWEB)

    Tamai, Ken; Togashi, Kaori [Kyoto University, Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto (Japan); Koyama, Takashi [Kyoto University Hospital, Department of Radiology, Kyoto (Japan)


    Ectopic pregnancy (EP), in which a fertilized ovum implants outside the uterine cavity, is the leading cause of pregnancy-related death in the first trimester. EP is usually suspected by a positive pregnancy test and an empty uterus on transvaginal sonography (TVS). Although TVS is the initial modality of choice, it may occasionally fail to demonstrate the implantation site. When TVS findings are indeterminate, magnetic resonance imaging (MRI) may provide better delineation of the focus of EP owing to its excellent tissue contrast. The key MRI features of EP include gestational sac (GS)-like structures that typically appear as a cystic sac-like structure, frequently associated with surrounding acute hematoma of distinct low intensity on T2-weighted images. In tubal pregnancy, an enhanced tubal wall on postcontrast images may be another diagnostic finding. Ruptured EP is inevitably associated with acute hematoma outside these structures. In intrauterine EP, recognition of the relationship between GS-like structure and the myometrium can aid in differentiating from normal pregnancy. Diagnostic pitfalls include heterotopic pregnancy, decidual changes in endometrial cyst and theca lutein cysts mimicking GS-like structures. Knowledge of a spectrum of clinical and MRI features of EP is essential for establishing an accurate diagnosis and determining appropriate management. (orig.)

  13. Energy efficiency in nonprofit agencies: Creating effective program models

    Energy Technology Data Exchange (ETDEWEB)

    Brown, M.A.; Prindle, B.; Scherr, M.I.; White, D.L.


    Nonprofit agencies are a critical component of the health and human services system in the US. It has been clearly demonstrated by programs that offer energy efficiency services to nonprofits that, with minimal investment, they can educe their energy consumption by ten to thirty percent. This energy conservation potential motivated the Department of Energy and Oak Ridge National Laboratory to conceive a project to help states develop energy efficiency programs for nonprofits. The purpose of the project was two-fold: (1) to analyze existing programs to determine which design and delivery mechanisms are particularly effective, and (2) to create model programs for states to follow in tailoring their own plans for helping nonprofits with energy efficiency programs. Twelve existing programs were reviewed, and three model programs were devised and put into operation. The model programs provide various forms of financial assistance to nonprofits and serve as a source of information on energy efficiency as well. After examining the results from the model programs (which are still on-going) and from the existing programs, several replicability factors'' were developed for use in the implementation of programs by other states. These factors -- some concrete and practical, others more generalized -- serve as guidelines for states devising program based on their own particular needs and resources.

  14. Temporal Feature Integration for Music Organisation

    DEFF Research Database (Denmark)

    Meng, Anders


    This Ph.D. thesis focuses on temporal feature integration for music organisation. Temporal feature integration is the process of combining all the feature vectors of a given time-frame into a single new feature vector in order to capture relevant information in the frame. Several existing methods...... for handling sequences of features are formulated in the temporal feature integration framework. Two datasets for music genre classification have been considered as valid test-beds for music organisation. Human evaluations of these, have been obtained to access the subjectivity on the datasets. Temporal...... feature integration has been used for ranking various short-time features at different time-scales. This include short-time features such as the Mel frequency cepstral coefficients (MFCC), linear predicting coding coefficients (LPC) and various MPEG-7 short-time features. The ‘consensus sensitivity...

  15. Peter & Jane: A Program Showcase (United States)

    Kalinowski, Michael


    This article features the early childhood programs at Peter & Jane Kindergarten located in Petaling Java, Malaysia. The primary purpose of the programs is to lay a strong foundation for a lifelong love of learning in each child. According to principal Patricia Teh, the activities are funded by parent fees and serve children two to six years of…

  16. Featured Invention: Laser Scaling Device (United States)

    Dunn, Carol Anne


    In September 2003, NASA signed a nonexclusive license agreement with Armor Forensics, a subsidiary of Armor Holdings, Inc., for the laser scaling device under the Innovative Partnerships Program. Coupled with a measuring program, also developed by NASA, the unit provides crime scene investigators with the ability to shoot photographs at scale without having to physically enter the scene, analyzing details such as bloodspatter patterns and graffiti. This ability keeps the scene's components intact and pristine for the collection of information and evidence. The laser scaling device elegantly solved a pressing problem for NASA's shuttle operations team and also provided industry with a useful tool. For NASA, the laser scaling device is still used to measure divots or damage to the shuttle's external tank and other structures around the launchpad. When the invention also met similar needs within industry, the Innovative Partnerships Program provided information to Armor Forensics for licensing and marketing the laser scaling device. Jeff Kohler, technology transfer agent at Kennedy, added, "We also invited a representative from the FBI's special photography unit to Kennedy to meet with Armor Forensics and the innovator. Eventually the FBI ended up purchasing some units. Armor Forensics is also beginning to receive interest from DoD [Department of Defense] for use in military crime scene investigations overseas."

  17. Object-oriented Programming Laws for Annotated Java Programs

    Directory of Open Access Journals (Sweden)

    Gabriel Falconieri Freitas


    Full Text Available Object-oriented programming laws have been proposed in the context of languages that are not combined with a behavioral interface specification language (BISL. The strong dependence between source-code and interface specifications may cause a number of difficulties when transforming programs. In this paper we introduce a set of programming laws for object-oriented languages like Java combined with the Java Modeling Language (JML. The set of laws deals with object-oriented features taking into account their specifications. Some laws deal only with features of the specification language. These laws constitute a set of small transformations for the development of more elaborate ones like refactorings.

  18. Text Mining in Python through the HTRC Feature Reader

    Directory of Open Access Journals (Sweden)

    Peter Organisciak


    Full Text Available We introduce a toolkit for working with the 13.6 million volume Extracted Features Dataset from the HathiTrust Research Center. You will learn how to peer at the words and trends of any book in the collection, while developing broadly useful Python data analysis skills. The HathiTrust holds nearly 15 million digitized volumes from libraries around the world. In addition to their individual value, these works in aggregate are extremely valuable for historians. Spanning many centuries and genres, they offer a way to learn about large-scale trends in history and culture, as well as evidence for changes in language or even the structure of the book. To simplify access to this collection the HathiTrust Research Center (HTRC has released the Extracted Features dataset (Capitanu et al. 2015: a dataset that provides quantitative information describing every page of every volume in the collection. In this lesson, we introduce the HTRC Feature Reader, a library for working with the HTRC Extracted Features dataset using the Python programming language. The HTRC Feature Reader is structured to support work using popular data science libraries, particularly Pandas. Pandas provides simple structures for holding data and powerful ways to interact with it. The HTRC Feature Reader uses these data structures, so learning how to use it will also cover general data analysis skills in Python.

  19. Feature Selection Based on Confidence Machine


    Liu, Chang; Xu, Yi


    In machine learning and pattern recognition, feature selection has been a hot topic in the literature. Unsupervised feature selection is challenging due to the loss of labels which would supply the related information.How to define an appropriate metric is the key for feature selection. We propose a filter method for unsupervised feature selection which is based on the Confidence Machine. Confidence Machine offers an estimation of confidence on a feature'reliability. In this paper, we provide...

  20. Toward Automated Feature Detection in UAVSAR Images (United States)

    Parker, J. W.; Donnellan, A.; Glasscoe, M. T.


    Edge detection identifies seismic or aseismic fault motion, as demonstrated in repeat-pass inteferograms obtained by the Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) program. But this identification is not robust at present: it requires a flattened background image, interpolation into missing data (holes) and outliers, and background noise that is either sufficiently small or roughly white Gaussian. Identification and mitigation of nongaussian background image noise is essential to creating a robust, automated system to search for such features. Clearly a robust method is needed for machine scanning of the thousands of UAVSAR repeat-pass interferograms for evidence of fault slip, landslides, and other local features.Empirical examination of detrended noise based on 20 km east-west profiles through desert terrain with little tectonic deformation for a suite of flight interferograms shows nongaussian characteristics. Statistical measurement of curvature with varying length scale (Allan variance) shows nearly white behavior (Allan variance slope with spatial distance from roughly -1.76 to -2) from 25 to 400 meters, deviations from -2 suggesting short-range differences (such as used in detecting edges) are often freer of noise than longer-range differences. At distances longer than 400 m the Allan variance flattens out without consistency from one interferogram to another. We attribute this additional noise afflicting difference estimates at longer distances to atmospheric water vapor and uncompensated aircraft motion.Paradoxically, California interferograms made with increasing time intervals before and after the El Mayor Cucapah earthquake (2008, M7.2, Mexico) show visually stronger and more interesting edges, but edge detection methods developed for the first year do not produce reliable results over the first two years, because longer time spans suffer reduced coherence in the interferogram. The changes over time are reflecting fault slip and block

  1. The Machine / Job Features Mechanism

    Energy Technology Data Exchange (ETDEWEB)

    Alef, M. [KIT, Karlsruhe; Cass, T. [CERN; Keijser, J. J. [NIKHEF, Amsterdam; McNab, A. [Manchester U.; Roiser, S. [CERN; Schwickerath, U. [CERN; Sfiligoi, I. [Fermilab


    Within the HEPiX virtualization group and the Worldwide LHC Computing Grid’s Machine/Job Features Task Force, a mechanism has been developed which provides access to detailed information about the current host and the current job to the job itself. This allows user payloads to access meta information, independent of the current batch system or virtual machine model. The information can be accessed either locally via the filesystem on a worker node, or remotely via HTTP(S) from a webserver. This paper describes the final version of the specification from 2016 which was published as an HEP Software Foundation technical note, and the design of the implementations of this version for batch and virtual machine platforms. We discuss early experiences with these implementations and how they can be exploited by experiment frameworks.


    Directory of Open Access Journals (Sweden)

    Tetiana Yurchenko


    Full Text Available The article namely deals with the peculiarities of legal regulation of the right to use someone else's land for agricultural purposes under the perpetual lease contract. Recognition of the legitimacy of perpetual lease as an intangible asset and, therefore, the object of accounting was justified. The features of the primary account perpetual lease rights were analyzed. It was found that for documenting transactions receipt, commissioning, de-recognition perpetual lease specialized forms of primary documents is not installed. The main aspects of accounting reflection of land under perpetual lease contracts were identified and ways of their improving were developed. The period on which the land is transferred for use under perpetual lease contract was proposed. During the study, general scientific methods – induction, deduction, synthesis, analysis, dialectical, historical, generalizations and specific methods of accounting – documentation, evaluation, accounting records were used. Keywords: accounting, land, perpetual lease, intangible assets, the right to use.

  3. New learning resource features CERN

    CERN Multimedia

    Katarina Anthony


    A new educational website, STEM Works, has been launched this month, presenting science and technology in an industrial context for students aged 11-14. Developed with contributions from CERN, the site highlights the Laboratory as a “real-world” example of the opportunities available to science graduates. While the site was developed in Northern Ireland, STEM Works addresses issues of global relevance.   Students share their projects with Steve Myers, Richard Hanna (CCEA), and Catriona Ruane (Education Minister). STEM stands for Science, Technology, Engineering and Mathematics – the four cornerstones of the curriculum featured on the STEM Works website. It is part of a nationwide push in Northern Ireland to highlight how important STEM subjects are to both academia and industry. CERN worked closely with the Northern Ireland Council for the Curriculum, Examinations and Assessment (CCEA) to develop educational content for the site. “The CCEA STEM Works site i...

  4. Resorbable collagen membranes: histopathologic features. (United States)

    Almazrooa, Soulafa A; Noonan, Vikki; Woo, Sook-Bin


    Resorbable collagen membranes (RCMs) are commonly used by oral surgeons, periodontists, and endodontists for multiple purposes. We report 6 cases of RCMs that did not resorb as expected and describe the histopathologic features. Cases of an unusual fibrillar foreign material were noted in biopsy specimens curetted from bone. Hematoxylin-eosin and Masson trichrome stains were performed. Clinicians were contacted for detailed clinical information. There were 3 men and 3 women. RCMs presented as hyalinized, paucicellular, delicate eosinophilic fibrils or a meshwork without a foreign body reaction. They were refractile and stained for Masson trichrome as expected. These RCMs persisted longer than expected (2-6 weeks) in 3 cases and may have retarded healing in 5 cases. Although RCM is supposed to be fairly rapidly resorbable, this material sometimes persists within wound sites without any obvious foreign body reaction and may retard healing. Copyright © 2014 Elsevier Inc. All rights reserved.

  5. Electron magnetohydrodynamic turbulence: universal features (United States)

    Shivamoggi, Bhimsen K.


    The energy cascade of electron magnetohydrodynamic (EMHD) turbulence is considered. Fractal and multi-fractal models for the energy dissipation field are used to determine the spatial intermittency corrections to the scaling behavior in the high-wavenumber (electron hydrodynamic limit) and low-wavenumber (magnetization limit) asymptotic regimes of the inertial range. Extrapolation of the multi-fractal scaling down to the dissipative microscales confirms in these asymptotic regimes a dissipative anomaly previously indicated by the numerical simulations of EMHD turbulence. Several basic features of the EMHD turbulent system are found to be universal which seem to transcend the existence of the characteristic length scale d e (which is the electron skin depth) in the EMHD problem: equipartition spectrum; Reynolds-number scaling of the dissipative microscales; scaling of the probability distribution function (PDF) of the electron-flow velocity (or magnetic field) gradient (even with intermittency corrections); dissipative anomaly; and critical exponent scaling.

  6. Feature selection for portfolio optimization

    DEFF Research Database (Denmark)

    Bjerring, Thomas Trier; Ross, Omri; Weissensteiner, Alex


    Most portfolio selection rules based on the sample mean and covariance matrix perform poorly out-of-sample. Moreover, there is a growing body of evidence that such optimization rules are not able to beat simple rules of thumb, such as 1/N. Parameter uncertainty has been identified as one major...... reason for these findings. A strand of literature addresses this problem by improving the parameter estimation and/or by relying on more robust portfolio selection methods. Independent of the chosen portfolio selection rule, we propose using feature selection first in order to reduce the asset menu....... While most of the diversification benefits are preserved, the parameter estimation problem is alleviated. We conduct out-of-sample back-tests to show that in most cases different well-established portfolio selection rules applied on the reduced asset universe are able to improve alpha relative...

  7. Enhanced feature integration in musicians

    DEFF Research Database (Denmark)

    Hansen, Niels Christian; Højlund, Andreas; Møller, Cecilie

    (MEG) from 25 musicians and 25 non-musicians, exposed to sounds presented in interleaved blocks of a musical multi-feature paradigm and a classical oddball control paradigm. In addition to single deviants differing in pitch (P), intensity (I), or perceived location (L), double and triple deviants were...... of MMNms obtained with the constituent single deviants. Significantly greater MMNm under-additivity was observed in musicians compared to non-musicians, specifically for pitch-related deviants in the musical paradigm (i.e. PI, LP, and, marginally, PIL). Conversely, expertise effects were absent from...... the classical oddball control paradigm which used identical sounds. This novel finding supports the dependent processing hypothesis suggesting that musicians recruit overlapping neural resources facilitating more holistic representations of domain-relevant stimuli. These specialised refinements in predictive...

  8. WCET Analysis of Java Bytecode Featuring Common Execution Environments

    DEFF Research Database (Denmark)

    Luckow, Kasper Søe; Thomsen, Bent; Frost, Christian


    We present a novel tool for statically determining the Worst Case Execution Time (WCET) of Java Bytecode-based programs called Tool for Execution Time Analysis of Java bytecode (TetaJ). This tool differentiates itself from existing tools by separating the individual constituents of the execution...... environment into independent components. The prime benefit is that it can be used for execution environments featuring common embedded processors and software implementations of the JVM. TetaJ employs a model checking approach for statically determining WCET where the Java program, the JVM, and the hardware...

  9. Towards a Unified Programming Language

    DEFF Research Database (Denmark)

    Madsen, Ole Lehrmann


    The goal of research in programming languages should be to develop languages that integrates the best of concepts and constructs from the various programming paradigms. We do not argue for a multi-paradigm language, where the programmer alternates between the different paradigms/styles. Instead, we...... style and where more research is needed. In addition to traditional paradigms such as object-oriented-, imperative-functional- and logic programming, we also discuss concurrent programming and prototype-based programming. We discuss language features such as the BETA pattern construct, virtual...

  10. Line-Editor Computer Program (United States)

    Scott, Peter J.


    ZED editing program for DEC VAX computer simple, powerful line editor for text, program source code, and nonbinary data. Excels in processing of text by use of procedure files. Also features versatile search qualifiers, global changes, conditionals, online help, hexadecimal mode, space compression, looping, logical combinations of search strings, journaling, visible control characters, and automatic detabbing. Users of Cambridge implementation devised such ZED procedures as chess games, calculators, and programs for evaluating pi. Written entirely in C.

  11. Utah Heavy Oil Program

    Energy Technology Data Exchange (ETDEWEB)

    J. Bauman; S. Burian; M. Deo; E. Eddings; R. Gani; R. Goel; C.K. Huang; M. Hogue; R. Keiter; L. Li; J. Ruple; T. Ring; P. Rose; M. Skliar; P.J. Smith; J.P. Spinti; P. Tiwari; J. Wilkey; K. Uchitel


    The Utah Heavy Oil Program (UHOP) was established in June 2006 to provide multidisciplinary research support to federal and state constituents for addressing the wide-ranging issues surrounding the creation of an industry for unconventional oil production in the United States. Additionally, UHOP was to serve as an on-going source of unbiased information to the nation surrounding technical, economic, legal and environmental aspects of developing heavy oil, oil sands, and oil shale resources. UHOP fulGilled its role by completing three tasks. First, in response to the Energy Policy Act of 2005 Section 369(p), UHOP published an update report to the 1987 technical and economic assessment of domestic heavy oil resources that was prepared by the Interstate Oil and Gas Compact Commission. The UHOP report, entitled 'A Technical, Economic, and Legal Assessment of North American Heavy Oil, Oil Sands, and Oil Shale Resources' was published in electronic and hard copy form in October 2007. Second, UHOP developed of a comprehensive, publicly accessible online repository of unconventional oil resources in North America based on the DSpace software platform. An interactive map was also developed as a source of geospatial information and as a means to interact with the repository from a geospatial setting. All documents uploaded to the repository are fully searchable by author, title, and keywords. Third, UHOP sponsored Give research projects related to unconventional fuels development. Two projects looked at issues associated with oil shale production, including oil shale pyrolysis kinetics, resource heterogeneity, and reservoir simulation. One project evaluated in situ production from Utah oil sands. Another project focused on water availability and produced water treatments. The last project considered commercial oil shale leasing from a policy, environmental, and economic perspective.

  12. Aspect-Oriented Programming (United States)

    Elrad, Tzilla (Editor); Filman, Robert E. (Editor); Bader, Atef (Editor)


    Computer science has experienced an evolution in programming languages and systems from the crude assembly and machine codes of the earliest computers through concepts such as formula translation, procedural programming, structured programming, functional programming, logic programming, and programming with abstract data types. Each of these steps in programming technology has advanced our ability to achieve clear separation of concerns at the source code level. Currently, the dominant programming paradigm is object-oriented programming - the idea that one builds a software system by decomposing a problem into objects and then writing the code of those objects. Such objects abstract together behavior and data into a single conceptual and physical entity. Object-orientation is reflected in the entire spectrum of current software development methodologies and tools - we have OO methodologies, analysis and design tools, and OO programming languages. Writing complex applications such as graphical user interfaces, operating systems, and distributed applications while maintaining comprehensible source code has been made possible with OOP. Success at developing simpler systems leads to aspirations for greater complexity. Object orientation is a clever idea, but has certain limitations. We are now seeing that many requirements do not decompose neatly into behavior centered on a single locus. Object technology has difficulty localizing concerns invoking global constraints and pandemic behaviors, appropriately segregating concerns, and applying domain-specific knowledge. Post-object programming (POP) mechanisms that look to increase the expressiveness of the OO paradigm are a fertile arena for current research. Examples of POP technologies include domain-specific languages, generative programming, generic programming, constraint languages, reflection and metaprogramming, feature-oriented development, views/viewpoints, and asynchronous message brokering. (Czarneclu and

  13. Systematic feature analysis on timber defect images

    Directory of Open Access Journals (Sweden)

    Ummi Rabaah Hashim


    Full Text Available Feature extraction is unquestionably an important process in a pattern recognition system. A defined set of features makes the identification task more efficiently. This paper addresses the extraction and analysis of features based on statistical texture to characterize images of timber defects. A series of procedures including feature extraction and feature analysis was executed to construct an appropriate feature set that could significantly separate amongst defects and clear wood classes. The feature set aimed for later use in a timber defect detection system. For Accessing the discrimination capability of the features extracted, visual exploratory analysis and confirmatory statistical analysis were performed on defect and clear wood images of Meranti (Shorea spp. timber species. Results from the analysis demonstrated that there was a significant distinction between defect classes and clear wood utilizing the proposed set of texture features.

  14. Language identification using spectral and prosodic features

    CERN Document Server

    Rao, K Sreenivasa; Maity, Sudhamay


    This book discusses the impact of spectral features extracted from frame level, glottal closure regions, and pitch-synchronous analysis on the performance of language identification systems. In addition to spectral features, the authors explore prosodic features such as intonation, rhythm, and stress features for discriminating the languages. They present how the proposed spectral and prosodic features capture the language specific information from two complementary aspects, showing how the development of language identification (LID) system using the combination of spectral and prosodic features will enhance the accuracy of identification as well as improve the robustness of the system. This book provides the methods to extract the spectral and prosodic features at various levels, and also suggests the appropriate models for developing robust LID systems according to specific spectral and prosodic features. Finally, the book discuss about various combinations of spectral and prosodic features, and the desire...

  15. Object localization using adaptive feature selection (United States)

    Hwang, S. Youngkyoo; Kim, Jungbae; Lee, Seongdeok


    'Fast and robust' are the most beautiful keywords in computer vision. Unfortunately they are in trade-off relationship. We present a method to have one's cake and eat it using adaptive feature selections. Our chief insight is that it compares reference patterns to query patterns, so that it selects smartly more important and useful features to find target. The probabilities of pixels in the query to belong to the target are calculated from importancy of features. Our framework has three distinct advantages: 1 - It saves computational cost dramatically to the conventional approach. This framework makes it possible to find location of an object in real-time. 2 - It can smartly select robust features of a reference pattern as adapting to a query pattern. 3- It has high flexibility on any feature. It doesn't matter which feature you may use. Lots of color space, texture, motion features and other features can fit perfectly only if the features meet histogram criteria.

  16. Representation and Metrics Extraction from Feature Basis: An Object Oriented Approach

    Directory of Open Access Journals (Sweden)

    Fausto Neri da Silva Vanin


    Full Text Available This tutorial presents an object oriented approach to data reading and metrics extraction from feature basis. Structural issues about basis are discussed first, then the Object Oriented Programming (OOP is aplied to modeling the main elements in this context. The model implementation is then discussed using C++ as programing language. To validate the proposed model, we apply on some feature basis from the University of Carolina, Irvine Machine Learning Database.

  17. EZLP: An Interactive Computer Program for Solving Linear Programming Problems. Final Report. (United States)

    Jarvis, John J.; And Others

    Designed for student use in solving linear programming problems, the interactive computer program described (EZLP) permits the student to input the linear programming model in exactly the same manner in which it would be written on paper. This report includes a brief review of the development of EZLP; narrative descriptions of program features,…

  18. Temporal feature integration for music genre classification

    DEFF Research Database (Denmark)

    Meng, Anders; Ahrendt, Peter; Larsen, Jan


    , but they capture neither the temporal dynamics nor dependencies among the individual feature dimensions. Here, a multivariate autoregressive feature model is proposed to solve this problem for music genre classification. This model gives two different feature sets, the diagonal autoregressive (DAR......) and multivariate autoregressive (MAR) features which are compared against the baseline mean-variance as well as two other temporal feature integration techniques. Reproducibility in performance ranking of temporal feature integration methods were demonstrated using two data sets with five and eleven music genres...

  19. Federal Educational Assistance Programs Available to Service Members: Program Features and Recommendations for Improved Delivery (United States)


    borrowers were enrolled in school and therefore eligible to defer loan repayment and interest accrual (Dynarksi, Hemelt, and Hyman , 2013). For the...percent of private, for-profit insti- tutions (Dynarksi, Hemelt, and Hyman , 2013, pp.  32, 38).1 As mentioned at the end of Chapter Two, a substantial...enrolled, persistence rates for enrollees from one year to the next, and fields of study or majors (Dynarksi, Hemelt, and Hyman , 2013). Although some

  20. Pleomorphic xanthoastrocytoma with anaplastic features

    Directory of Open Access Journals (Sweden)

    Cheng ZHI


    Full Text Available Objective  To explore the clinical pathological characteristics, immunophenotyping, diagnosis and differential diagnosis and prognosis of pleomorphic xanthoastrocytoma (PXA with anaplastic features.  Methods  HE staining was used for histological observation. The expressions of glial fibrillary acidic protein (GFAP, vimentin (Vim, CD34, epithelial membrane antigen (EMA, progestrone receptor (PR, neurofilment protein (NF, neuronal nuclei (NeuN, synaptophysin (Syn, Nestin (Nes, S-100 protein (S-100, P53 and Ki-67 labeling index were detected by immunohistochemical method. BRAF mutation was detected by polymerase chain reaction (PCR amplification.  Results  A 43-year-old male patient presented with repeatedly paroxysmal tic of limbs and disturbance of consciousness. Cranial MRI revealed multiple abnormal signals in left temporo-occipito-parietal lobe and posterior horn of lateral ventricle, with unclear borderline and cystic degeneration. Surgical removal of the lesion was performed. Histologically, the tumor was biphasic. One part was composed of spindle cells arranged in fascicles or as running water, with weird multinuclear giant cells. Abundant vacuolated lipidized cytoplasm could be seen. Mitosis and "map"-like necrosis were noted. Another part revealed the tumor cells were consistent in size and uniform in distribution, with loose background tissue. Immunohistochemistry showed tumor cells were diffusely positive for GFAP, Vim, S-100, Nes, CD34 and P53, and negative for EMA, Syn, NeuN and NF. Ki-67 labeling index was about 15%. Reticular fiber staining showed abundant reticular fibers in the tumor tissue. BRAF mutation detected by PCR amplification was not found.  Conclusions  Classified as grade Ⅱ in the World Health Organization (WHO classification, the prognosis of PXA is good. A diagnosis of PXA with anaplastic features should be considered when the tumor demonstrates mitotic activity > 5/10 high power field (HPF and/or areas of

  1. Sclerosing nevus with pseudomelanomatous features. (United States)

    Fabrizi, Giuseppe; Pennacchia, Ilaria; Pagliarello, Calogero; Massi, Guido


    Among the pigmented lesions with a central area of scar, we found a group of cases histologically characterized by striking architectural alteration of the melanocytic component, but with no cytological atypia and mitotically quiescent. The aim of the current study was to assess the biological nature of such lesions. We selected 19 of these melanocytic neoplasms that had the following characteristics: (a) a clinically evident whitish central area suggestive of regression (with no history of a previous surgical procedure or trauma), (b) histological features of fibrous scar-like tissue at the center of the lesion, (c) the presence of large, confluent and unusually shaped melanocytic nests at the dermoepidermal junction and in the dermis, (d) a pagetoid spread of melanocytes above the epidermal basal layer and (e) remnants of nevus tissue at the border of the scar. The lesions showed no evidence of cytological atypia, expansive nodules of melanocytes, significant numbers of mitoses or cellular necrosis. All the cases have been followed up and none have recurred or metastasized. Histologically, these neoplasms have important similarities with the so-called recurrent nevus, nevi on lichen sclerosus and nevi developed during or following cutaneous inflammatory and sclerosing processes. The origin of the scar in each case was obscure but was probably related to minor unnoticed trauma or to chronic friction on a nevus. In few cases, the fibrosis was probably the result of partial regression of the nevus or a sequel to folliculitis. The pseudomelanomatous features appear to be related to the presence of the scar, as already reported for nevi that are involved in fibrotic or scarring processes. In our study, the nevi involved in the fibrotic process were congenital nevi and common or dysplastic nevi. One case was a Spitz nevus. From our data we concluded that, despite their worrisome clinical and histological aspect, the lesions described in this case series were most

  2. Bifacial Perovskite Solar Cells Featuring Semitransparent Electrodes. (United States)

    Hanmandlu, Chintam; Chen, Chien-Yu; Boopathi, Karunakara Moorthy; Lin, Hao-Wu; Lai, Chao-Sung; Chu, Chih-Wei


    Inorganic-organic hybrid perovskite solar cells (PSCs) are promising devices for providing future clean energy because of their low cost, ease of fabrication, and high efficiencies, similar to those of silicon solar cells. These materials have been investigated for their potential use in bifacial PSCs, which can absorb light from both sides of the electrodes. Here, we fabricated bifacial PSCs featuring transparent BCP/Ag/MoO3 rear electrodes, which we formed through low-temperature processing using thermal evaporation methods. We employed a comprehensive optical distribution program to calculate the distributions of the optical field intensities with constant thicknesses of the absorbing layer in the top electrode configuration. The best PSC having a transparent BCP/Ag/MoO3 electrode achieved PCEs of 13.49% and 9.61% when illuminated from the sides of the indium tin oxide and BCP/Ag/MoO3 electrodes, respectively. We observed significant power enhancement when operating this PSC using mirror reflectors and bifacial light illumination from both sides of the electrodes.

  3. Sonographic Features of Colonic Diverticulitis

    Energy Technology Data Exchange (ETDEWEB)

    Jeong, Yu Mee; Ko, Young Tae; Lim, Joo Won; Lee, Dong Ho; Yoon, Yup [Kyung Hee University Hospital, Seoul (Korea, Republic of)


    To evaluate sonographic features, location of diverticulum, and usefulness of sonography as a primary diagnostic tool. Sonographic findings of 28 patients with acute diverticulitis were reviewed. The diagnosis was made by surgery (11 patients), barium enema (20 patients), colonoscopy (3 patients), or CT (2 patients). There were 13 men and 15 women with ages ranging from 23 to 71 years old (mean, 33 years old). Sonographic abnormalities were seen in the cecum in 12 patients, both the cecum and ascending colon in seven, the ascending colon in six, the descending colon in two, and the transverse colon in one. On sonography, segmental thickening of the colonic wall was the most common finding, seen in 16 patients. The second most common finidngs were pericolic omental thickening and pericolic localized fluid collection (15 patients). Pericolic inflammatory mass of varying echogenicity (10 patients), out pouching hyper echoic foci beyond the lumen of the colon into or beyond the thickened wall (5 patients), contracture of the colon (5 patients), slightly thickened terminal ileum (1 patient), and local enlargement of ileocecal lymph node (1 patient) were also seen. Most diverticulitis occurred in the right colon. The useful sonographic findings in acute diverticulitis were echogenic foci of the diverticulum in the thickened colonic wall, focally and eccentrically thickened colonic wall, and localized omental thickening or fluid collection. In cases of pericecal fluid collection, appendicitis or colonic diverticulitis can be considered as a differential diagnosis

  4. Ocular features of CHARGE syndrome. (United States)

    McMain, Karen; Blake, Kim; Smith, Isabel; Johnson, Judy; Wood, Ellen; Tremblay, Francois; Robitaille, Johane


    To detail the presence and severity of ocular and cranial nerve abnormalities found in individuals with CHARGE syndrome in a distinct geographic area. Nine individuals with CHARGE syndrome from Maritime Canada identified from a Canadian database were prospectively examined. Structural and sensorial defects associated with functional visual deficits were defined with ophthalmic and neurological evaluation. Consistent with current diagnostic criteria and the literature, colobomas were the major ophthalmic manifestation. These were typically bilateral chorioretinal colobomas involving the optic nerve. All subjects had bilateral severe sensorineural deafness (cranial nerve VIII), and 8 of 9 (89%) had facial nerve (cranial nerve VII) involvement (7 of 9 had unilateral involvement; 1 of 9 had bilateral involvement). Unique to this group of participants were the findings of anisometropia in 8 of the 9 (89%) patients, severe myopic astigmatism in 13 of the 18 eyes (72%), and limited elevation in adduction in 3 of 9 (33%) participants. Associated findings were strabismus, cataracts, microcornea, keratopathy, staphyloma, reduced stereopsis, superior visual field defects, and reduced visual acuity. The presence of coloboma plus another CHARGE feature warrants further investigation, including genetic screening for the CHD7 gene. Early recognition and management of sensory problems (visual, auditory, and vestibular) are crucial to ensure best psychomotor and cognitive development.

  5. CT features of appendiceal mucocele

    Energy Technology Data Exchange (ETDEWEB)

    Yu, Won Jong; Byun, Jae Young; Jung, Jung Im; Lee, Hae Gyu; Park, Young Ha; Shin, Kyung Sub [Catholic University Medical College, Seoul (Korea, Republic of)


    To evaluate the usefulness of CT features of appendiceal mucocele in the diagnosis and evaluation of complications. We retrospectively reviewed CT findings and compared with operative findings in 7 cases of pathologically proven appendiceal mucocele. CT findings such as location and extent of the lesion, tissue density, thickness or calcification of the wall, presence of adjacent inflammatory infiltration, and visualization of normal vermiform appendix were analyzed. Appendiceal mucocele was found as homogeneous low density cystic mass adjacent to the cecum, which has no surrounding inflammatory infiltration except in one case of perforation and one case of intussusception. Mean CT number measured in 4 cases was 21 Hounsfield unit. Thin curvilinear calcifications were noted along the cystic wall in 2 cases. Normal vermiform appendix couldn't be demonstrated in all cases. Appendiceal mucocele is characterized by homogeneously low density and thin walled cystic tumor adjacent to cecum without surrounding inflammatory infiltration, and absence of normal vermiform appendix on CT. Therefore, CT is valuable in preventing operative complications of appendiceal mucocele.

  6. features using RBF-SA

    Directory of Open Access Journals (Sweden)

    Rafael do Espírito Santo


    Full Text Available We present in this work a new type of classes discriminator based upon nonlinear and combinational optimization techniques: radial basis functions-simulated annealing (RBF-SA. The combinational optimization method is used here as a preestimation of some parameters of the network classifier. We compare the classifier performance with and without pre-estimation. For training the classifiers, adopting the leave-one-out procedure, we have used case examples such as mammographic masses (malignant and benign. The classifier is trained with shape factors and edge-sharpness measures extracted from 57 regions of interest (ROI (37 malignant and 20 benign, manually delineated, that describe mammographic masses and tumor features in terms of polygonal models for shape factors (compactness [CC], Fourier description [FF], fractional concavity [FCC] and speculated index [SI] and edge sharpness-acutance (A . The classifier performance is compared in terms of the area under the receive operating characteristic (ROC curve – (A. Higher values of A correspond to a better performance of classifier. Experiments with mammographic tumor and masses show that the best result of 0.9776 is obtained with RBF-SA when RBF parameters such as centers and spread matrix are pre-estimated, which is significantly better than the results obtained with no pre-estimation or only pre-estimation of the RBF centers, which are, 0.7071 and 0.9552 respectively.

  7. PHISICS: New Features and Advancements

    Energy Technology Data Exchange (ETDEWEB)

    C. Rabiti; Y. Wang; G. Palmiotti; H. Hiruta; J. Cogliati; A. Alfonsi; A. EPiney; T. Grimmett


    The PHISICS (Parallel and Highly Innovative Simulation for INL Code System) software is under an intensive development at INL. In the last months new features have been added and improvements of the previously existing one performed. The modular approach has created a friendly development environment that allows a quick expansion of the capabilities. In the last months a little amount of work has been dedicated to the improvement of the spherical harmonics based nodal transport solver while the implementation of a solver based on the self adjoint formulation of the discrete ordinate is in the test phase on structured mesh. PHISICS now include a depletion solver with the option to use two different algorithms for the solution of the Bateman equation: the Taylor development of the exponential matrix and the Chebyshev Rational Approximation Method. The coupling with RELAP5 is also available at least in the steady state search mode. The coupling between RELAP5 and PHISICS can also take advantage of the new cross section interpolation module so that the coupling could be performed using an arbitrary number of energy groups.

  8. Surface Features of Nanocrystalline Alloys

    Directory of Open Access Journals (Sweden)

    Marcel Miglierini


    Full Text Available Nanocrystalline alloys are prepared by controlled annealing of metallic glass precursors. The latter are obtained by rapid quenching of a melt on a rotating wheel. This process leads to structural deviation of the produced ribbons’ surfaces. Structural features of as-quenched and thermally annealed 57Fe81Mo8Cu1B10 ribbons were studied employing Conversion Electron Mössbauer Spectrometry (CEMS and Conversion X-ray Mössbauer Spectrometry (CXMS. Enrichment of the alloy’s composition in 57Fe helped in identification of surface crystallites that were formed even during the production process. Magnetite and bcc-Fe were found at the wheel side of the as-quenched ribbons whereas only bcc-Fe nanocrystals were uncovered at the opposite air side. Accelerated formation of bcc-Fe was observed in this side of the ribbons after annealing. The relative content of magnetite at the wheel side was almost stable in near surface areas (CEMS and in more deep subsurface regions (CXMS. It vanished completely after annealing at 550 °C. No magnetite was observed at the air side of the ribbons regardless the annealing temperature and/or depth of the scanned regions.

  9. Computer Program Newsletter No. 7

    Energy Technology Data Exchange (ETDEWEB)

    Magnuson, W.G. Jr.


    This issue of the Computer Program Newsletter updates an earlier newsletter (Number 2, September 1979) and focuses on electrical network analysis computer programs. In particular, five network analysis programs (SCEPTRE, SPICE2, NET2, CALAHAN, and EMTP) will be described. The objective of this newsletter will be to provide a very brief description of the input syntax and semantics for each program, highlight their strong and weak points, illustrate how the programs are run at Lawrence Livermore National Laboratory using the Octopus computer network, and present examples of input for each of the programs to illustrate some of the features of each program. In a sense, this newsletter can be used as a quick reference guide to the programs.

  10. Human reliability program: Components and effects

    Energy Technology Data Exchange (ETDEWEB)

    Baley-Downes, S.


    The term ''Human Reliability Program'' (HRP) is defined as a series of selective controls which are implemented and integrated to identify the ''insider threat'' from current and prospective employees who are dishonest, disloyal and unreliable. The HRP, although not a prediction of human behaviour, is an excellent tool for decision making and should compliment security and improve employee quality. The HRP consists of several component applications such as management evaluation; appropriate background investigative requirements; occupational health examination and laboratory testing; drug/alcohol screening; psychological testing and interviews; polygraph examination; job related aberrant behaviour recognition; on-going education and training; document control; drug/alcohol rehabilitation; periodic HRP audit; and implementation of an onsite central clearing house. The components and effects of HRP are discussed in further detail in this paper.

  11. Cascaded face alignment via intimacy definition feature (United States)

    Li, Hailiang; Lam, Kin-Man; Chiu, Man-Yau; Wu, Kangheng; Lei, Zhibin


    Recent years have witnessed the emerging popularity of regression-based face aligners, which directly learn mappings between facial appearance and shape-increment manifolds. We propose a random-forest based, cascaded regression model for face alignment by using a locally lightweight feature, namely intimacy definition feature. This feature is more discriminative than the pose-indexed feature, more efficient than the histogram of oriented gradients feature and the scale-invariant feature transform feature, and more compact than the local binary feature (LBF). Experimental validation of our algorithm shows that our approach achieves state-of-the-art performance when testing on some challenging datasets. Compared with the LBF-based algorithm, our method achieves about twice the speed, 20% improvement in terms of alignment accuracy and saves an order of magnitude on memory requirement.

  12. Program specialization

    CERN Document Server

    Marlet, Renaud


    This book presents the principles and techniques of program specialization - a general method to make programs faster (and possibly smaller) when some inputs can be known in advance. As an illustration, it describes the architecture of Tempo, an offline program specializer for C that can also specialize code at runtime, and provides figures for concrete applications in various domains. Technical details address issues related to program analysis precision, value reification, incomplete program specialization, strategies to exploit specialized program, incremental specialization, and data speci

  13. LOFS: Library of Online Streaming Feature Selection


    Yu, Kui; Ding, Wei; Wu, Xindong


    As an emerging research direction, online streaming feature selection deals with sequentially added dimensions in a feature space while the number of data instances is fixed. Online streaming feature selection provides a new, complementary algorithmic methodology to enrich online feature selection, especially targets to high dimensionality in big data analytics. This paper introduces the first comprehensive open-source library for use in MATLAB that implements the state-of-the-art algorithms ...

  14. Music discovery methods using perceptual features


    Nysäter, Richard


    Perceptual features are qualitative features used to describe music properties in relation to human perception instead of typical musical theory concepts such as pitches and chords. This report describes a music discovery platform which uses three different methods of music playlist generation to investigate if and how perceptual features work when used for music discovery. One method abstracts away the complexity of perceptual features and the other two lets users use them directly. Two user...

  15. New approach to spectral features modeling

    NARCIS (Netherlands)

    Brug, H. van; Scalia, P.S.


    The origin of spectral features, speckle effects, is explained, followed by a discussion on many aspects of spectral features generation. The next part gives an overview of means to limit the amplitude of the spectral features. This paper gives a discussion of all means to reduce the spectral

  16. MRI features associated with acute appendicitis

    NARCIS (Netherlands)

    Leeuwenburgh, Marjolein M. N.; Jensch, Sebastiaan; Gratama, Jan W. C.; Spilt, Aart; Wiarda, Bart M.; van Es, H. Wouter; Cobben, Lodewijk P. J.; Bossuyt, Patrick M. M.; Boermeester, Marja A.; Stoker, Jaap; Bouma, Wim H.; Houdijk, Alexander P. J.; Richir, Milan C.; Stockmann, Hein B. A. C.; Wiezer, Marinus J.; Verhagen, Thijs


    To identify MRI features associated with appendicitis. Features expected to be associated with appendicitis were recorded in consensus by two expert radiologists on 223 abdominal MRIs in patients with suspected appendicitis. Nine MRI features were studied: appendix diameter >7 mm, appendicolith,

  17. Featureous: an Integrated Approach to Location, Analysis and Modularization of Features in Java Applications

    DEFF Research Database (Denmark)

    Olszak, Andrzej

    of features in Java applications. Featureous addresses these concerns in four steps. Firstly, a dynamic method based on so-called feature-entry points is used to establish traceability links between features and their corresponding source code units. Secondly, this traceability forms a basis for a feature......-oriented analysis method that visualizes and measures features. Thirdly, scattering and tangling of features can be physically reduced using feature-oriented remodularization method that is based on multi-objective optimization of Java package structures. Finally, automated detection of so-called feature seed...... methods is proposed, to enable large-scale feature-oriented quality assessment. Featureous is implemented as a plugin to the NetBeans IDE. This implementation was used to evaluate the constituent methods of Featureous by applying them to several medium and large open-source Java systems. The gathered...

  18. A survey of object oriented languages in programming environments


    Haakonsen, Harald


    Approved for public release; distribution is unlimited This thesis addresses object oriented programming languages; and a restrictive definition of object oriented programming languages is presented and defended. Differences between programming languages are discussed and related to interactive integrated programming environments. Topics related to user friendly interface to the computer system and modem programming practice are discussed. The thesis especially addresses features in ...


    Directory of Open Access Journals (Sweden)

    Taha A. Al-Tayyar


    Full Text Available Todefine the biological features of phytoplankton in Mosul  Dam  Lake, monthly samples were collectedalong a year from September 2003 to August 2004. Consisting thermalstratification and turn over periods from four locations in the main lake andanother location in the regulating lake. Total numbers of algae  reached 2300 cell/ml in the main lake and 1100cell/ml in the regulating lake.Bacillariophyta were dominant with a maximum number of 1400 cell/ml in autumn. Chlorophytawere dominant in autumn also with 550 cell/ml. Ten genus of Chlorophyta wereappeared in this water body: Cosmarium, Chlorella, Spirogyra, Scendesmus, Pediastrum, Tetraedron, Quadrigula, Ankiseradosm, Pandorina, and Straurastrum.Seven genus of Bacillariophyta were noticeable. Some genus of Cyanophyta was recorded as Aphanocapsa. In addition someEuglenophyta spp. were occurred in the main lake and the regulating lake also. On thebasis of these algae abundance, the lake is undergoing cultural Eutrophication.It has passed in mesotrophic state (the middle trophic state ofEutrophication. Some genera which were appeared are the indication ofeutrophic state.Totalplate count bacteria ranged from 400-1700 cell/ ml in the main lake and 200-950 cell/ml in the regulating lakewere also recorded. Coliform bacteria were founded with most probablenumber  reached 460 cell/100ml in themain lake and 150 cell/100ml in the regulating lake. Therefore, the lake wateris classified as moderate pure and considering a good source of raw water supplywith all treatment units and safe for swimming and recreational uses.

  20. New Features in ADS Labs (United States)

    Accomazzi, Alberto; Kurtz, M. J.; Henneken, E. A.; Grant, C. S.; Thompson, D.; Di Milia, G.; Luker, J.; Murray, S. S.


    The NASA Astrophysics Data System (ADS) has been working hard on updating its services and interfaces to better support our community's research needs. ADS Labs is a new interface built on the old tried-and-true ADS Abstract Databases, so all of ADS's content is available through it. In this presentation we highlight the new features that have been developed in ADS Labs over the last year: new recommendations, metrics, a citation tool and enhanced fulltext search. ADS Labs has long been providing article-level recommendations based on keyword similarity, co-readership and co-citation analysis of its corpus. We have now introduced personal recommendations, which provide a list of articles to be considered based on a individual user's readership history. A new metrics interface provides a summary of the basic impact indicators for a list of records. These include the total and normalized number of papers, citations, reads, and downloads. Also included are some of the popular indices such as the h, g and i10 index. The citation helper tool allows one to submit a set of records and obtain a list of top 10 papers which cite and/or are cited by papers in the original list (but which are not in it). The process closely resembles the network approach of establishing "friends of friends" via an analysis of the citation network. The full-text search service now covers more than 2.5 million documents, including all the major astronomy journals, as well as physics journals published by Springer, Elsevier, the American Physical Society, the American Geophysical Union, and all of the arXiv eprints. The full-text search interface interface allows users and librarians to dig deep and find words or phrases in the body of the indexed articles. ADS Labs is available at

  1. Computer programs as accounting object

    Directory of Open Access Journals (Sweden)

    I.V. Perviy


    Full Text Available Existing approaches to the regulation of accounting software as one of the types of intangible assets have been considered. The features and current state of the legal protection of computer programs have been analyzed. The reasons for the need to use patent law as a means of legal protection of individual elements of computer programs have been discovered. The influence of the legal aspects of the use of computer programs for national legislation to their accounting reflection has been analyzed. The possible options for the transfer of rights from computer programs copyright owners have been analyzed that should be considered during creation of software accounting system at the enterprise. Identified and analyzed the characteristics of computer software as an intangible asset under the current law. General economic characteristics of computer programs as one of the types of intangible assets have been grounded. The main distinguishing features of software compared to other types of intellectual property have been all ocated

  2. Qualified matching feature collection for feature point-based copy-move forgery detection (United States)

    Yu, Liyang; Han, Qi; Niu, Xiamu


    The feature matching step plays a critical role during the copy-move forgery detection procedure. However, when several highly similar features simultaneously exist in the feature space, current feature matching methods will miss a considerable number of genuine matching feature pairs. To this end, we propose a clustering-based method to collect qualified matching features for the feature point-based methods. The proposed method can collect far more genuine matching features than existing methods do, and thus significantly improve the detection performance, especially for multiple pasting cases. Experimental results confirm the efficacy of the proposed method.

  3. Patch layout generation by detecting feature networks

    KAUST Repository

    Cao, Yuanhao


    The patch layout of 3D surfaces reveals the high-level geometric and topological structures. In this paper, we study the patch layout computation by detecting and enclosing feature loops on surfaces. We present a hybrid framework which combines several key ingredients, including feature detection, feature filtering, feature curve extension, patch subdivision and boundary smoothing. Our framework is able to compute patch layouts through concave features as previous approaches, but also able to generate nice layouts through smoothing regions. We demonstrate the effectiveness of our framework by comparing with the state-of-the-art methods.

  4. Feature coding for image representation and recognition

    CERN Document Server

    Huang, Yongzhen


    This brief presents a comprehensive introduction to feature coding, which serves as a key module for the typical object recognition pipeline. The text offers a rich blend of theory and practice while reflects the recent developments on feature coding, covering the following five aspects: (1) Review the state-of-the-art, analyzing the motivations and mathematical representations of various feature coding methods; (2) Explore how various feature coding algorithms evolve along years; (3) Summarize the main characteristics of typical feature coding algorithms and categorize them accordingly; (4) D

  5. Nearly maximally predictive features and their dimensions (United States)

    Marzen, Sarah E.; Crutchfield, James P.


    Scientific explanation often requires inferring maximally predictive features from a given data set. Unfortunately, the collection of minimal maximally predictive features for most stochastic processes is uncountably infinite. In such cases, one compromises and instead seeks nearly maximally predictive features. Here, we derive upper bounds on the rates at which the number and the coding cost of nearly maximally predictive features scale with desired predictive power. The rates are determined by the fractal dimensions of a process' mixed-state distribution. These results, in turn, show how widely used finite-order Markov models can fail as predictors and that mixed-state predictive features can offer a substantial improvement.

  6. Clinical features of hepatitis D. (United States)

    Farci, Patrizia; Niro, Grazia Anna


    Hepatitis D is caused by infection with hepatitis D virus (HDV), a defective RNA virus that requires the obligatory helper function of hepatitis B virus (HBV) for its in vivo transmission. Thus, HDV is acquired only by coinfection with HBV or by superinfection of an HBV carrier. The clinical outcome of hepatitis D differs according to the modality of infection. Whereas coinfection evolves to chronicity in only 2% of the cases, superinfection results in chronic infection in over 90% of the cases. HDV is a highly pathogenic virus that causes acute, often fulminant hepatitis, as well as a rapidly progressive form of chronic viral hepatitis, leading to cirrhosis in 70 to 80% of the cases. The clinical picture of HDV disease is evolving as a consequence of a significant change in the epidemiology of HDV infection, which has led to a significant decline in incidence in Western countries, mainly as a result of universal HBV vaccination programs. However, in the face of a declining prevalence in areas of old endemicity like Europe, immigration poses a threat of HDV resurgence. The interaction of HDV with other hepatitis viruses or human immunodeficiency virus is complex and may lead to different patterns in terms of virologic expression and immunologic responses. Multiple viral infections are associated with rapid progression of liver fibrosis and eventually with the development of hepatocellular carcinoma. Hepatitis D is not a vanishing disease, and continuous efforts should be made to improve its prevention and treatment. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

  7. Evaluation of textural features for multispectral images (United States)

    Bayram, Ulya; Can, Gulcan; Duzgun, Sebnem; Yalabik, Nese


    Remote sensing is a field that has wide use, leading to the fact that it has a great importance. Therefore performance of selected features plays a great role. In order to gain some perspective on useful textural features, we have brought together state-of-art textural features in recent literature, yet to be applied in remote sensing field, as well as presenting a comparison with traditional ones. Therefore we selected most commonly used textural features in remote sensing that are grey-level co-occurrence matrix (GLCM) and Gabor features. Other selected features are local binary patterns (LBP), edge orientation features extracted after applying steerable filter, and histogram of oriented gradients (HOG) features. Color histogram feature is also used and compared. Since most of these features are histogram-based, we have compared performance of bin-by-bin comparison with a histogram comparison method named as diffusion distance method. During obtaining performance of each feature, k-nearest neighbor classification method (k-NN) is applied.

  8. Abdominal tuberculous lymphadenopathy: MRI features

    Energy Technology Data Exchange (ETDEWEB)

    Backer, A.I. De [General Hospital Sint-Lucas, Department of Radiology, Ghent (Belgium); Mortele, K.J. [Brigham and Women' s Hospital, Harvard Medical School, Department of Radiology, Division of Abdominal Imaging and Intervention, Boston, MA (United States); Deeren, D. [Ziekenhuisnetwerk Antwerpen, Department of Internal Medicine, Campus Stuivenberg, Antwerp (Belgium); Catholic University of Leuven, Department of Internal Medicine, University Hospitals, Leuven (Belgium); Vanschoubroeck, I.J. [Ziekenhuisnetwerk Antwerpen, Department of Internal Medicine, Campus Stuivenberg, Antwerp (Belgium); Keulenaer, B.L. De [Royal Darwin Hospital, Intensive Care Unit, Tiwi, NT (Australia)


    The aim of this study was to describe the MRI features of abdominal tuberculous lymphadenopathy. MRI studies of 13 patients with abdominal tuberculous lymphadenopathy were reviewed with regard to anatomic distribution and size. Signal intensities, in relation to abdominal wall muscle, on unenhanced T1- and T2-weighted images and patterns of contrast enhancement of lymphadenopathy were evaluated in each patient. In each patient, the largest lymph node with the same imaging characteristic was evaluated. The upper paraaortic region was the most common site of involvement (n=12 patients), followed by the lesser omentum (n=10 patients), the anterior pararenal space (n=9 patients), the lower paraaortic area (n=8 patients), the small bowel mesentery (n=6 patients), the greater omentum (n=2 patients) and the originating site of the inferior mesenteric artery (n=2 patients). The mean lymph node size was 1.8 cm (range 0.5-5 cm). The overall mean lymph node number per patient was 16 (range 2-50). A total of 41 lymph nodes were evaluated in 13 patients. On T2-weighted images, 40 lesions were hyperintense and one lesion was isointense. Nine hyperintense lesions showed a hypointense peripheral rim and seven internal heterogeneity. Perinodal T2-hyperintensity was present in 23 lesions. The latter finding was valid for all patients. On T1-weighted images, 30 lesions were hypointense and 11 isointense. Nine hypointense lesions demonstrated a hyperintense peripheral rim, and six were heterogeneous. Contrast-enhanced fat-suppressed T1-weighted images demonstrated predominant peripheral enhancement in 28 lesions: (1) peripheral uniform, thin (n=19); (2) thick irregular, complete (n=3); and (3) conglomerate group of nodes showing peripheral and central areas of rim enhancement (n=6). Heterogeneous and homogeneous enhancement was present in ten and three lesions, respectively. Combinations of enhancing patterns in the same nodal group and different nodal groups were seen in eight and

  9. Sleep Stage Classification Using Unsupervised Feature Learning

    Directory of Open Access Journals (Sweden)

    Martin Längkvist


    Full Text Available Most attempts at training computers for the difficult and time-consuming task of sleep stage classification involve a feature extraction step. Due to the complexity of multimodal sleep data, the size of the feature space can grow to the extent that it is also necessary to include a feature selection step. In this paper, we propose the use of an unsupervised feature learning architecture called deep belief nets (DBNs and show how to apply it to sleep data in order to eliminate the use of handmade features. Using a postprocessing step of hidden Markov model (HMM to accurately capture sleep stage switching, we compare our results to a feature-based approach. A study of anomaly detection with the application to home environment data collection is also presented. The results using raw data with a deep architecture, such as the DBN, were comparable to a feature-based approach when validated on clinical datasets.

  10. Clafer: Unifying Class and Feature Modeling

    DEFF Research Database (Denmark)

    Bąk, Kacper; Diskin, Zinovy; Antkiewicz, Michal


    We present Clafer (class, feature, reference), a class modeling language with first-class support for feature modeling. We designed Clafer as a concise notation for meta-models, feature models, mixtures of meta- and feature models (such as components with options), and models that couple feature...... models and meta-models via constraints (such as mapping feature configurations to component configurations or model templates). Clafer allows arranging models into multiple specialization and extension layers via constraints and inheritance. We identify several key mechanisms allowing a meta......-modeling language to express feature models concisely. Clafer unifies basic modeling constructs, such as class, association, and property, into a single construct, called clafer. We provide the language with a formal semantics built in a structurally explicit way. The resulting semantics explains the meaning...

  11. Legal features of the drug advertising. (United States)

    Pashkov, Vitalii M; Olefir, Andrii A; Bytyak, Oleksiy Y

    ; - Prohibit the advertising of medicines for children, as well as drugs for the treatment of infectious, parasitic diseases and pathogens of these diseases, chronic insomnia, cardiovascular diseases, and those costs are reimbursed by government programs or trade names may lead to mix with prescription drugs; - Adopt ethical standards (codes) promotion of drugs for pharmaceutical companies; - Advertising to the public shall not contain any reference to cost or pricing features for medicines.

  12. Decision-Tree Program (United States)

    Buntine, Wray


    IND computer program introduces Bayesian and Markov/maximum-likelihood (MML) methods and more-sophisticated methods of searching in growing trees. Produces more-accurate class-probability estimates important in applications like diagnosis. Provides range of features and styles with convenience for casual user, fine-tuning for advanced user or for those interested in research. Consists of four basic kinds of routines: data-manipulation, tree-generation, tree-testing, and tree-display. Written in C language.

  13. Learning Cython programming

    CERN Document Server

    Herron, Philip


    A practical and a fast-paced guide that gives you all the information you need to start programming using Cython.This book is for developers who love C/C++ for low latency and speed but who also require the ability to add more dynamic features to applications both fast and reliably. It will also show you how you can get new applications off the ground by reusing Python libraries to get started.

  14. PyEEG: an open source Python module for EEG/MEG feature extraction. (United States)

    Bao, Forrest Sheng; Liu, Xin; Zhang, Christina


    Computer-aided diagnosis of neural diseases from EEG signals (or other physiological signals that can be treated as time series, e.g., MEG) is an emerging field that has gained much attention in past years. Extracting features is a key component in the analysis of EEG signals. In our previous works, we have implemented many EEG feature extraction functions in the Python programming language. As Python is gaining more ground in scientific computing, an open source Python module for extracting EEG features has the potential to save much time for computational neuroscientists. In this paper, we introduce PyEEG, an open source Python module for EEG feature extraction.

  15. Korea Earth Observation Satellite Program (United States)

    Baek, Myung-Jin; Kim, Zeen-Chul

    via Korea Aerospace Research Institute (KARI) as the prime contractor in the area of Korea earth observation satellite program to enhance Korea's space program development capability. In this paper, Korea's on-going and future earth observation satellite programs are introduced: KOMPSAT- 1 (Korea Multi Purpose Satellite-1), KOMPSAT-2 and Communication, Broadcasting and Meteorological Satellite (CBMS) program. KOMPSAT-1 satellite successfully launched in December 1999 with Taurus launch vehicle. Since launch, KOMPSAT-1 is downlinking images of Korea Peninsular every day. Until now, KOMPSAT-1 has been operated more than 2 and half years without any major hardware malfunction for the mission operation. KOMPSAT-1 payload has 6.6m panchromatic spatial resolution at 685 km on-orbit and the spacecraft bus had NASA TOMS-EP (Total Ozone Mapping Spectrometer-Earth Probe) spacecraft bus heritage designed and built by TRW, U.S.A.KOMPSAT-1 program was international co-development program between KARI and TRW funded by Korean Government. be launched in 2004. Main mission objective is to provide geo-information products based on the multi-spectral high resolution sensor called Multi-Spectral Camera (MSC) which will provide 1m panchromatic and 4m multi-spectral high resolution images. ELOP of Israel is the prime contractor of the MSC payload system and KARI is the total system prime contractor including spacecraft bus development and ground segment. KARI also has the contract with Astrium of Europe for the purpose of technical consultation and hardware procurement. Based on the experience throughout KOMPSAT-1 and KOMPSAT-2 space system development, Korea is expecting to establish the infrastructure of developing satellite system. Currently, KOMPSAT-2 program is in the critical design stage. are scheduled to launch in 2008 and in 2014, respectively. The mission of CBMS consists of two areas. One is of space technology test for the communications mission, and the other is of a real

  16. Feature Detection Systems Enhance Satellite Imagery (United States)


    -resolution satellites, which provide the benefit of images detailed enough to reveal large features like highways while still broad enough for global coverage, continue to scan the entirety of the Earth s surface. In 2012, NASA plans to launch the Landsat Data Continuity Mission (LDCM), or Landsat 8, to extend the Landsat program s contributions to cartography, water management, natural disaster relief planning, and more.

  17. Population dynamics in Nepal: features and issues. (United States)

    Bajracharya, P


    This article features a discussion of Nepal's population dynamics and several major demographic issues for the future. The fertility rate in Nepal has declined, but insufficiently. There is a need to increase the contraceptive prevalence rate (CPR) from 29% to 40% over the next decade. CPR may be increased by improving functional literacy, increasing the length of schooling, awareness creation among subgroups, and improvement in the socioeconomic status of the population. Nepal has uncontrolled migration. There is a need to define appropriate international and internal migration policies and to improve regional development. There is also the need for nutrition programs targeted to malnourished children and pregnant mothers. Nepal is a country with a high birthrate of 37.5/1000, a declining death rate of 13.8/1000, high infant mortality of 97.5/1000 live births, high child mortality of 165/1000, and high total fertility of 5.5 children/woman. 42.7% of population are aged under 15 years. In 1991, the population growth rate was the highest in the terai region at 2.8%. Migration has increased population in the terai. The share of population in the hill and mountain regions has increased. The sex ratio of population was favorable to females in 1991. The sex ratio among persons aged 0-14 years and among those aged 45-60 and over favored males. The young and old populations continue to grow. The mean age of population was 18.8 years in 1991. The share of urban population was about 9.2% in 1991, but it is growing. Migration pressure arises at the destination due to social and political conflict, population pressure, land issues, and lack of social services.

  18. Performance Comparison of Feature Selection Methods

    Directory of Open Access Journals (Sweden)

    Phyu Thu Zar


    Full Text Available Feature Subset Selection is an essential pre-processing task in Data Mining. Feature selection process refers to choosing subset of attributes from the set of original attributes. This technique attempts to identify and remove as much irrelevant and redundant information as possible. In this paper, a new feature subset selection algorithm based on conditional mutual information approach is proposed to select the effective feature subset. The effectiveness of the proposed algorithm is evaluated by comparing with the other well-known existing feature selection algorithms using standard datasets from UC Iravine and WEKA (Waikato Environment for Knowledge Analysis. The performance of the proposed algorithm is evaluated by multi-criteria that take into account not only the classification accuracy but also number of selected features.

  19. Effective Feature Preprocessing for Time Series Forecasting

    DEFF Research Database (Denmark)

    Zhao, Junhua; Dong, Zhaoyang; Xu, Zhao


    Time series forecasting is an important area in data mining research. Feature preprocessing techniques have significant influence on forecasting accuracy, therefore are essential in a forecasting model. Although several feature preprocessing techniques have been applied in time series forecasting......, there is so far no systematic research to study and compare their performance. How to select effective techniques of feature preprocessing in a forecasting model remains a problem. In this paper, the authors conduct a comprehensive study of existing feature preprocessing techniques to evaluate their empirical...... performance in time series forecasting. It is demonstrated in our experiment that, effective feature preprocessing can significantly enhance forecasting accuracy. This research can be a useful guidance for researchers on effectively selecting feature preprocessing techniques and integrating them with time...

  20. Self-Weighted Supervised Discriminative Feature Selection. (United States)

    Zhang, Rui; Nie, Feiping; Li, Xuelong


    In this brief, a novel self-weighted orthogonal linear discriminant analysis (SOLDA) problem is proposed, and a self-weighted supervised discriminative feature selection (SSD-FS) method is derived by introducing sparsity-inducing regularization to the proposed SOLDA problem. By using the row-sparse projection, the proposed SSD-FS method is superior to multiple sparse feature selection approaches, which can overly suppress the nonzero rows such that the associated features are insufficient for selection. More specifically, the orthogonal constraint ensures the minimal number of selectable features for the proposed SSD-FS method. In addition, the proposed feature selection method is able to harness the discriminant power such that the discriminative features are selected. Consequently, the effectiveness of the proposed SSD-FS method is validated theoretically and experimentally.

  1. Acceleration feature points of unsteady shear flows

    CERN Document Server

    Kasten, Jens; Hotz, Ingrid; Hege, Hans-Christian; Noack, Bernd R; Daviller, Guillaume; Morzynski, Marek


    In this paper, we propose a novel framework to extract features such as vortex cores and saddle points in two-dimensional unsteady flows. This feature extraction strategy generalizes critical points of snapshot topology in a Galilean-invariant manner, allows to prioritize features according to their strength and longevity, enables to track the temporal evolution of features, is robust against noise and has no subjective parameters. These characteristics are realized via several constitutive elements. First, acceleration is employed as a feature identifier following Goto and Vassilicos (2006), thus ensuring Galilean invariance. Second, the acceleration magnitude is used as basis for a mathematically well-developed scalar field topology. The minima of this field are called acceleration feature points, a superset of the acceleration zeros. These points are discriminated into vortices and saddle points depending the spectral properties of the velocity Jacobian. Third, all operations are based on discrete topology...

  2. A benign maxillary tumour with malignant features. (United States)

    Ricalde, Rosario R; Lim, Aimee Caroline E; Lopa, Ramon Antonio B; Carnate, Jose M


    Non-specific biopsy results such as chronic inflammation, hemorrhage, necrosis can be frustrating to the clinician. This is especially true if the patient presents with clinical features suggestive of an aggressive tumour. This is a review of the clinical features, diagnostic dilemmas and surgical management of a benign maxillary mass with malignant features - a disease called hematoma-like mass of the maxillary sinus (HLMMS). Our experience with five cases will also be cited.

  3. Flexible feature interface for multimedia sources (United States)

    Coffland, Douglas R [Livermore, CA


    A flexible feature interface for multimedia sources system that includes a single interface for the addition of features and functions to multimedia sources and for accessing those features and functions from remote hosts. The interface utilizes the export statement: export "C" D11Export void FunctionName(int argc, char ** argv,char * result, SecureSession *ctrl) or the binary equivalent of the export statement.

  4. Learning discriminative functional network features of schizophrenia (United States)

    Gheiratmand, Mina; Rish, Irina; Cecchi, Guillermo; Brown, Matthew; Greiner, Russell; Bashivan, Pouya; Polosecki, Pablo; Dursun, Serdar


    Associating schizophrenia with disrupted functional connectivity is a central idea in schizophrenia research. However, identifying neuroimaging-based features that can serve as reliable "statistical biomarkers" of the disease remains a challenging open problem. We argue that generalization accuracy and stability of candidate features ("biomarkers") must be used as additional criteria on top of standard significance tests in order to discover more robust biomarkers. Generalization accuracy refers to the utility of biomarkers for making predictions about individuals, for example discriminating between patients and controls, in novel datasets. Feature stability refers to the reproducibility of the candidate features across different datasets. Here, we extracted functional connectivity network features from fMRI data at both high-resolution (voxel-level) and a spatially down-sampled lower-resolution ("supervoxel" level). At the supervoxel level, we used whole-brain network links, while at the voxel level, due to the intractably large number of features, we sampled a subset of them. We compared statistical significance, stability and discriminative utility of both feature types in a multi-site fMRI dataset, composed of schizophrenia patients and healthy controls. For both feature types, a considerable fraction of features showed significant differences between the two groups. Also, both feature types were similarly stable across multiple data subsets. However, the whole-brain supervoxel functional connectivity features showed a higher cross-validation classification accuracy of 78.7% vs. 72.4% for the voxel-level features. Cross-site variability and heterogeneity in the patient samples in the multi-site FBIRN dataset made the task more challenging compared to single-site studies. The use of the above methodology in combination with the fully data-driven approach using the whole brain information have the potential to shed light on "biomarker discovery" in schizophrenia.



    Aleksey Sergeevih Voynov


    Purpose: identify the most important features in the process of making political decisions that affect the effectiveness of problem-solving situationsScientific novelty: as a result of the analysis identified the problematic features of major importance for the efficiency of the development and adoption of the most rational solution to a problem situation.Results: the analysis of the most significant features affecting the quality of decisions among them the interest of the person making deci...

  6. Innovation in Aerodynamic Design Features of Soviet Missiles (United States)

    Spearman, M. Leroy


    Wind tunnel investigations of some tactical and strategic missile systems developed by the former Soviet Union have been included in the basic missile research programs of the NACA/NASA. Studies of the Soviet missiles sometimes revealed innovative design features that resulted in unusual or unexpected aerodynamic characteristics. In some cases these characteristics have been such that the measured performance of the missile exceeds what might have been predicted. In other cases some unusual design features have been found that would alleviate what might otherwise have been a serious aerodynamic problem. In some designs, what has appeared to be a lack of refinement has proven to be a matter of expediency. It is a purpose of this paper to describe some examples of unusual design features of some Soviet missiles and to illustrate the effectiveness of the design features on the aerodynamic behavior of the missile. The paper draws on the experience of the author who for over 60 years was involved in the aerodynamic wind tunnel testing of aircraft and missiles with the NACA/NASA.

  7. Automatic extraction of planetary image features (United States)

    LeMoigne-Stewart, Jacqueline J. (Inventor); Troglio, Giulia (Inventor); Benediktsson, Jon A. (Inventor); Serpico, Sebastiano B. (Inventor); Moser, Gabriele (Inventor)


    A method for the extraction of Lunar data and/or planetary features is provided. The feature extraction method can include one or more image processing techniques, including, but not limited to, a watershed segmentation and/or the generalized Hough Transform. According to some embodiments, the feature extraction method can include extracting features, such as, small rocks. According to some embodiments, small rocks can be extracted by applying a watershed segmentation algorithm to the Canny gradient. According to some embodiments, applying a watershed segmentation algorithm to the Canny gradient can allow regions that appear as close contours in the gradient to be segmented.

  8. Genetic search feature selection for affective modeling

    DEFF Research Database (Denmark)

    Martínez, Héctor P.; Yannakakis, Georgios N.


    Automatic feature selection is a critical step towards the generation of successful computational models of affect. This paper presents a genetic search-based feature selection method which is developed as a global-search algorithm for improving the accuracy of the affective models built....... The method is tested and compared against sequential forward feature selection and random search in a dataset derived from a game survey experiment which contains bimodal input features (physiological and gameplay) and expressed pairwise preferences of affect. Results suggest that the proposed method...

  9. Wilson’s disease: Atypical imaging features

    Directory of Open Access Journals (Sweden)

    Venugopalan Y Vishnu


    Full Text Available Wilson’s disease is a genetic movement disorder with characteristic clinical and imaging features. We report a 17- year-old boy who presented with sialorrhea, hypophonic speech, paraparesis with repeated falls and recurrent seizures along with cognitive decline. He had bilateral Kayser Flescher rings. Other than the typical features of Wilson’s disease in cranial MRI, there were extensive white matter signal abnormalities (T2 and FLAIR hyperintensities and gyriform contrast enhancement which are rare imaging features in Wilson's disease. A high index of suspicion is required to diagnose Wilson’s disease when atypical imaging features are present.

  10. Ontology patterns for complex topographic feature yypes (United States)

    Varanka, Dalia E.


    Complex feature types are defined as integrated relations between basic features for a shared meaning or concept. The shared semantic concept is difficult to define in commonly used geographic information systems (GIS) and remote sensing technologies. The role of spatial relations between complex feature parts was recognized in early GIS literature, but had limited representation in the feature or coverage data models of GIS. Spatial relations are more explicitly specified in semantic technology. In this paper, semantics for topographic feature ontology design patterns (ODP) are developed as data models for the representation of complex features. In the context of topographic processes, component assemblages are supported by resource systems and are found on local landscapes. The topographic ontology is organized across six thematic modules that can account for basic feature types, resource systems, and landscape types. Types of complex feature attributes include location, generative processes and physical description. Node/edge networks model standard spatial relations and relations specific to topographic science to represent complex features. To demonstrate these concepts, data from The National Map of the U. S. Geological Survey was converted and assembled into ODP.

  11. Features from a Single Vector Pressure Stroke

    Directory of Open Access Journals (Sweden)

    Qiang Li


    Full Text Available Freehand sketching in a real-time 3D styling system presents a different way to create a 3D model from the traditional CAD system. Strokes are the most common and useful objects in the expression of a stylist’s intention by using the gesture commands and in the construction of geometries. Not only are they sketched freely as drawing on a paper with a pen, but also they can be converted automatically into spline curves and then can be used to form a surface. Therefore, it is necessary to investigate the features of stroke, the extraction and identification of these features, and the applications. Here, the features from a single vector pressure stroke have been discussed in detail according to their applications in an automotive freehand styling system in the early stage of conceptual design. The features have been divided into three parts: the input features, the calculable feature, and the added features. Over a hundred features have been defined and classified with the geometry or performance attributes. The features proposed have been applied in the identification of gesture commands, the expression of art vector stroke by pseudoantialiasing method, and a novel method to generate a spatial curve directly by the pressure of stroke in AutoSketch system.

  12. A comparison of different feature extraction methods for diagnosis of valvular heart diseases using PCG signals. (United States)

    Rouhani, M; Abdoli, R


    This article presents a novel method for diagnosis of valvular heart disease (VHD) based on phonocardiography (PCG) signals. Application of the pattern classification and feature selection and reduction methods in analysing normal and pathological heart sound was investigated. After signal preprocessing using independent component analysis (ICA), 32 features are extracted. Those include carefully selected linear and nonlinear time domain, wavelet and entropy features. By examining different feature selection and feature reduction methods such as principal component analysis (PCA), genetic algorithms (GA), genetic programming (GP) and generalized discriminant analysis (GDA), the four most informative features are extracted. Furthermore, support vector machines (SVM) and neural network classifiers are compared for diagnosis of pathological heart sounds. Three valvular heart diseases are considered: aortic stenosis (AS), mitral stenosis (MS) and mitral regurgitation (MR). An overall accuracy of 99.47% was achieved by proposed algorithm. Copyright © 2012 Informa UK, Ltd.

  13. Тhe features of severe community acquired pneumonia

    Directory of Open Access Journals (Sweden)

    Avramenko I.V.


    Full Text Available Based on data from a prospective analysis for the year of observation, the article presents information about the features of severe community acquired pneumonia in patients who were hospitalized at the department of pulmonology (or therapy, as well as department of the intensive care from three teaching hospitals in Dnepropetrovsk, namely "Dnipropetrovsk City Hospital №6», "Dnipropetrovsk City Hospital №2», "Dnipropetrovsk City Hospital №16», which are the clinical ones of "Dnepropetrovsk Medical Academy of the Ministry of Health Ukraine". Dependence of the severity of the condition shown on duration of illness before admission, features of season character of disease. The effect of breathing exercises on the course of the disease. The results can be the basis for a more personal approach to the development of diagnostic and therapeutic programs for patients with severe community-acquired pneumonia.

  14. Classification and methodical features of fitness and wellness facilities

    Directory of Open Access Journals (Sweden)

    Beliak Yu. I.


    Full Text Available Purpose : health and fitness use a large arsenal of different sports and physical activity. Development of fitness industry promotes its expansion and requires classification and methodological features that lead to the use of appropriate fitness programs. Material : more than 60 literature and video of 42 prestigious international fitness - conventions lessons were analyzed. Results : the evolution of species fitness and wellness, as well as the character used in those funds. Conclusions : as a means of improving classification attribute fitness appropriate to use their orientation, according to which they are divided into aerobic, strength exercises that promote flexibility and psychomotor coordination. The main methodological features fitness facilities are highlighted: the variety and interchangeability, clear regulation, the ability to transform, to exercise a selective effect on the body, the ability to solve a wide range of tasks, innovation.

  15. Applied Integer Programming Modeling and Solution

    CERN Document Server

    Chen, Der-San; Dang, Yu


    An accessible treatment of the modeling and solution of integer programming problems, featuring modern applications and software In order to fully comprehend the algorithms associated with integer programming, it is important to understand not only how algorithms work, but also why they work. Applied Integer Programming features a unique emphasis on this point, focusing on problem modeling and solution using commercial software. Taking an application-oriented approach, this book addresses the art and science of mathematical modeling related to the mixed integer programming (MIP) framework and

  16. TFE Verification Program

    Energy Technology Data Exchange (ETDEWEB)


    The objective of the semiannual progress report is to summarize the technical results obtained during the latest reporting period. The information presented herein will include evaluated test data, design evaluations, the results of analyses and the significance of results. The program objective is to demonstrate the technology readiness of a TFE (thermionic fuel element) suitable for use as the basic element in a thermionic reactor with electric power output in the 0.5 to 5.0 MW(e) range, and a full-power life of 7 years. The TFE Verification Program builds directly on the technology and data base developed in the 1960s and early 1970s in an AEC/NASA program, and in the SP-100 program conducted in 1983, 1984 and 1985. In the SP-100 program, the attractive features of thermionic power conversion technology were recognized but concern was expressed over the lack of fast reactor irradiation data. The TFE Verification Program addresses this concern.

  17. Principal Feature Analysis: A Multivariate Feature Selection Method for fMRI Data

    Directory of Open Access Journals (Sweden)

    Lijun Wang


    Full Text Available Brain decoding with functional magnetic resonance imaging (fMRI requires analysis of complex, multivariate data. Multivoxel pattern analysis (MVPA has been widely used in recent years. MVPA treats the activation of multiple voxels from fMRI data as a pattern and decodes brain states using pattern classification methods. Feature selection is a critical procedure of MVPA because it decides which features will be included in the classification analysis of fMRI data, thereby improving the performance of the classifier. Features can be selected by limiting the analysis to specific anatomical regions or by computing univariate (voxel-wise or multivariate statistics. However, these methods either discard some informative features or select features with redundant information. This paper introduces the principal feature analysis as a novel multivariate feature selection method for fMRI data processing. This multivariate approach aims to remove features with redundant information, thereby selecting fewer features, while retaining the most information.

  18. Feature selection based classifier combination approach for ...

    Indian Academy of Sciences (India)

    Conditional mutual information based feature selection when driving the ensemble of classifier produces improved recognition results for most of the benchmarking datasets. The improve- ment is also observed with maximum relevance minimum redundancy based feature selection when used in combination with ensemble ...

  19. Statistical feature extraction based iris recognition system

    Indian Academy of Sciences (India)

    Iris recognition systems have been proposed by numerous researchers using different feature extraction techniques for accurate and reliable biometric authentication. In this paper, a statistical feature extraction technique based on correlation between adjacent pixels has been proposed and implemented. Hamming ...

  20. Accuracy in Rating and Recommending Item Features

    NARCIS (Netherlands)

    L. Rutledge (Lloyd); N. Stash; Y. Wang (Yanjing); L. Aroyo


    textabstractThis paper discusses accuracy in processing ratings of and recommendations for item features. Such processing facilitates featurebased user navigation in recommender system interfaces. Item features, often in the form of tags, categories or meta-data, are becoming important hypertext

  1. Fast Feature-Recognizing Optoelectronic System (United States)

    Thakoor, S.; Thakoor, A. P.


    Proposed optoelectronic system recognizes features or classifies images by processing outputs of photosensors rapidly, in parallel, through circuits developed in research on neural networks. Array of photoconductive elements serve as photomodulated connections in electronic neural network, which provides high speed data compression to generate feature vector. System able to "learn" new patterns for subsequent recognition. Potential applications in robotic vision systems and pattern recognition.

  2. Bringing sequential feature explanations to life

    CSIR Research Space (South Africa)

    Mokoena, Tshepiso


    Full Text Available with no information about what caused the anomalies. A sequential feature explanation(SFE) of a detected data point is an ordered sequence of features which are presented to the analysts, one at a time until the information contained in the set of already presented...

  3. Cuticular features as indicators of environmental pollution (United States)

    G. K. Sharma


    Several leaf cuticular features such as stomatal frequency, stomatal size, trichome length, type, and frequency, and subsidiary cell complex respond to environmental pollution in different ways and hence can be used as indicators of environmental pollution in an area. Several modifications in cuticular features under polluted environments seem to indicate ecotypic or...

  4. Graph-based features for texture discrimination

    NARCIS (Netherlands)

    Grigorescu, Cosmin; Petkov, Nikolay; Sanfeliu, A; Villanueva, JJ; Vanrell, M; Alquezar, R; Huang, T; Serra, J


    Graph-based features, such as the number of connected components, edges of a given orientation and vertices per unit area, and the number of vertices and pixels per connected component, are proposed for the analysis of textures which consist of structural elements. The proposed set of features is

  5. Frequencies of Some Morphological Features in Indigenous ...

    African Journals Online (AJOL)

    Morphological features of chicken genetic resources must be carefully identified and considered in developing breeding strategies. The study was carried out to determine the frequencies of morphological features in indigenous chickens of South-Western Nigeria, using Lagos, Ogun, Osun and Oyo States as case study.

  6. Electrocardiographic features suggestive of a left. ventricular ...

    African Journals Online (AJOL)

    SA MEDICAL JOURNAL VOLUME 63 1 JANUARY 1983. 27. Electrocardiographic features suggestive of a left. ventricular' aneurysm following a high-velocity missile injury. A case report. T. H. DIAMOND, R. SMITH, D. P. MYBURGH, L. STEINGO. Summary. Electrocardiographic features suggestive of a transmural anterior ...

  7. Solving jigsaw puzzles using image features

    DEFF Research Database (Denmark)

    Nielsen, Ture R.; Drewsen, Peter; Hansen, Klaus


    In this article, we describe a method for automatic solving of the jigsaw puzzle problem based on using image features instead of the shape of the pieces. The image features are used for obtaining an accurate measure for edge similarity to be used in a new edge matching algorithm. The algorithm i...

  8. FATS: Feature Analysis for Time Series (United States)

    Nun, Isadora; Protopapas, Pavlos; Sim, Brandon; Zhu, Ming; Dave, Rahul; Castro, Nicolas; Pichara, Karim


    FATS facilitates and standardizes feature extraction for time series data; it quickly and efficiently calculates a compilation of many existing light curve features. Users can characterize or analyze an astronomical photometric database, though this library is not necessarily restricted to the astronomical domain and can also be applied to any kind of time series data.

  9. Linguistic feature analysis for protein interaction extraction

    Directory of Open Access Journals (Sweden)

    Cornelis Chris


    Full Text Available Abstract Background The rapid growth of the amount of publicly available reports on biomedical experimental results has recently caused a boost of text mining approaches for protein interaction extraction. Most approaches rely implicitly or explicitly on linguistic, i.e., lexical and syntactic, data extracted from text. However, only few attempts have been made to evaluate the contribution of the different feature types. In this work, we contribute to this evaluation by studying the relative importance of deep syntactic features, i.e., grammatical relations, shallow syntactic features (part-of-speech information and lexical features. For this purpose, we use a recently proposed approach that uses support vector machines with structured kernels. Results Our results reveal that the contribution of the different feature types varies for the different data sets on which the experiments were conducted. The smaller the training corpus compared to the test data, the more important the role of grammatical relations becomes. Moreover, deep syntactic information based classifiers prove to be more robust on heterogeneous texts where no or only limited common vocabulary is shared. Conclusion Our findings suggest that grammatical relations play an important role in the interaction extraction task. Moreover, the net advantage of adding lexical and shallow syntactic features is small related to the number of added features. This implies that efficient classifiers can be built by using only a small fraction of the features that are typically being used in recent approaches.

  10. Morphological features in the Bay of Bengal

    Digital Repository Service at National Institute of Oceanography (India)

    Sarma, K.V.L.N.S.; Ramana, M.V.; Subrahmanyam, V.; Krishna, K.S.; Ramprasad, T.; Desa, M.

    the NW-SE trending long profiles spaced at 30 nautical miles aided to improve the bathymetry chart of the Bay of Bengal. The echograms show some important geo-morphological features of the seafloor. One such feature is the "Swatch of no ground" which...

  11. 27 CFR 44.182 - Lottery features. (United States)


    ... 27 Alcohol, Tobacco Products and Firearms 2 2010-04-01 2010-04-01 false Lottery features. 44.182... Lottery features. No certificate, coupon, or other device purporting to be or to represent a ticket, chance, share, or an interest in, or dependent on, the event of a lottery shall be contained in, attached...

  12. 27 CFR 44.249 - Lottery features. (United States)


    ... 27 Alcohol, Tobacco Products and Firearms 2 2010-04-01 2010-04-01 false Lottery features. 44.249... Requirements § 44.249 Lottery features. No certificate, coupon, or other device purporting to be or to represent a ticket, chance, share, or an interest in, or dependent on, the event of a lottery shall be...

  13. CT features of intussusception through an Ileostomy

    Energy Technology Data Exchange (ETDEWEB)

    Jung, Mi Ran; Park, Mi Hyun; Jee, Keum Nahn; Namgung, Hwan [Dankook University School of Medicine, Cheonan (Korea, Republic of)


    Intussusception of the small bowel through an ileostomy is very rare; when it causes necrosis of the bowel, immediate surgery is required. Computed tomography (CT) features of intussusception through an ileostomy have not been reported in the literature. Herein, we report the typical CT features of intussusception through an ileostomy, followed by a brief literature review.

  14. Probabilistic Slow Features for Behavior Analysis

    NARCIS (Netherlands)

    Zafeiriou, Lazaros; Nicolaou, Mihalis A.; Zafeiriou, Stefanos; Nikitidis, Symeon; Pantic, Maja

    A recently introduced latent feature learning technique for time-varying dynamic phenomena analysis is the so-called slow feature analysis (SFA). SFA is a deterministic component analysis technique for multidimensional sequences that, by minimizing the variance of the first-order time derivative

  15. An Optimal Turkish Private Pension Plan with a Guarantee Feature

    Directory of Open Access Journals (Sweden)

    Ayşegül İşcanog̃lu-Çekiç


    Full Text Available The Turkish Private Pension System is an investment system which aims to generate income for future consumption. This is a volunteer system, and the contributions are held in individual portfolios. Therefore, management of the funds is an important issue for both the participants and the insurance company. In this study, we propose an optimal private pension plan with a guarantee feature that is based on Constant Proportion Portfolio Insurance (CPPI. We derive a closed form formula for the optimal strategy with the help of dynamic programming. Moreover, our model is evaluated with numerical examples, and we compare its performance by implementing a sensitivity analysis.

  16. Geomorphology of Impact Features on Tethys Using High Resolution Mosaics (United States)



  17. Classification Using Markov Blanket for Feature Selection

    DEFF Research Database (Denmark)

    Zeng, Yifeng; Luo, Jian


    Selecting relevant features is in demand when a large data set is of interest in a classification task. It produces a tractable number of features that are sufficient and possibly improve the classification performance. This paper studies a statistical method of Markov blanket induction algorithm...... induction as a feature selection method. In addition, we point out an important assumption behind the Markov blanket induction algorithm and show its effect on the classification performance....... for filtering features and then applies a classifier using the Markov blanket predictors. The Markov blanket contains a minimal subset of relevant features that yields optimal classification performance. We experimentally demonstrate the improved performance of several classifiers using a Markov blanket...

  18. A new approach for detecting local features

    DEFF Research Database (Denmark)

    Nguyen, Phuong Giang; Andersen, Hans Jørgen


    Local features up to now are often mentioned in the meaning of interest points. A patch around each point is formed to compute descriptors or feature vectors. Therefore, in order to satisfy different invariant imaging conditions such as scales and viewpoints, an input image is often represented...... in a scale-space, i.e. size of patches are defined by their corresponding scales. Our proposed technique for detecting local features is different, where no scale-space is required, by dividing the given image into a number of triangles with sizes dependent on the content of the image at the location of each...... triangle. In this paper, we demonstrate that the triangular representation of images provide invariant features of the image. Experiments using these features show higher retrieval performance over existing methods....

  19. Audio feature extraction using probability distribution function (United States)

    Suhaib, A.; Wan, Khairunizam; Aziz, Azri A.; Hazry, D.; Razlan, Zuradzman M.; Shahriman A., B.


    Voice recognition has been one of the popular applications in robotic field. It is also known to be recently used for biometric and multimedia information retrieval system. This technology is attained from successive research on audio feature extraction analysis. Probability Distribution Function (PDF) is a statistical method which is usually used as one of the processes in complex feature extraction methods such as GMM and PCA. In this paper, a new method for audio feature extraction is proposed which is by using only PDF as a feature extraction method itself for speech analysis purpose. Certain pre-processing techniques are performed in prior to the proposed feature extraction method. Subsequently, the PDF result values for each frame of sampled voice signals obtained from certain numbers of individuals are plotted. From the experimental results obtained, it can be seen visually from the plotted data that each individuals' voice has comparable PDF values and shapes.

  20. Effective public security features for embossed holograms (United States)

    Zacharovas, Stanislovas; Bakanas, Ramūnas; Bulanovs, Andrejs; Varadarajan, Vadivelan


    New combined embossed hologram originating technique was developed by the international team of holography experts. The technique merges deep 3D holographic images with commonly used hologram security features. Deep 3D images were first recorded on photoresist with Geola's holographic printer containing their proprietary pulsed laser. Optical security features were then overexposed onto the photoresist plates containing latent images of deep 3D scenes. The photoresist plates with several exposures (containing optical security features and deep 3D images) were developed. Embossed holograms, containing such effective public security features as full colour 3D images, guilloches, rainbow patterns were manufactured. Manufactured embossed holograms also contained such optical security features as microtext and laser readable hidden image.

  1. Network interdiction and stochastic integer programming

    CERN Document Server


    On March 15, 2002 we held a workshop on network interdiction and the more general problem of stochastic mixed integer programming at the University of California, Davis. Jesús De Loera and I co-chaired the event, which included presentations of on-going research and discussion. At the workshop, we decided to produce a volume of timely work on the topics. This volume is the result. Each chapter represents state-of-the-art research and all of them were refereed by leading investigators in the respective fields. Problems - sociated with protecting and attacking computer, transportation, and social networks gain importance as the world becomes more dep- dent on interconnected systems. Optimization models that address the stochastic nature of these problems are an important part of the research agenda. This work relies on recent efforts to provide methods for - dressing stochastic mixed integer programs. The book is organized with interdiction papers first and the stochastic programming papers in the second part....

  2. Sensor feature fusion for detecting buried objects

    Energy Technology Data Exchange (ETDEWEB)

    Clark, G.A.; Sengupta, S.K.; Sherwood, R.J.; Hernandez, J.E.; Buhl, M.R.; Schaich, P.C.; Kane, R.J.; Barth, M.J.; DelGrande, N.K.


    Given multiple registered images of the earth`s surface from dual-band sensors, our system fuses information from the sensors to reduce the effects of clutter and improve the ability to detect buried or surface target sites. The sensor suite currently includes two sensors (5 micron and 10 micron wavelengths) and one ground penetrating radar (GPR) of the wide-band pulsed synthetic aperture type. We use a supervised teaming pattern recognition approach to detect metal and plastic land mines buried in soil. The overall process consists of four main parts: Preprocessing, feature extraction, feature selection, and classification. These parts are used in a two step process to classify a subimage. Thee first step, referred to as feature selection, determines the features of sub-images which result in the greatest separability among the classes. The second step, image labeling, uses the selected features and the decisions from a pattern classifier to label the regions in the image which are likely to correspond to buried mines. We extract features from the images, and use feature selection algorithms to select only the most important features according to their contribution to correct detections. This allows us to save computational complexity and determine which of the sensors add value to the detection system. The most important features from the various sensors are fused using supervised teaming pattern classifiers (including neural networks). We present results of experiments to detect buried land mines from real data, and evaluate the usefulness of fusing feature information from multiple sensor types, including dual-band infrared and ground penetrating radar. The novelty of the work lies mostly in the combination of the algorithms and their application to the very important and currently unsolved operational problem of detecting buried land mines from an airborne standoff platform.

  3. Parenting Programs

    Directory of Open Access Journals (Sweden)

    Juan Carlos Martín-Quintana


    Full Text Available This paper was aimed at emphasizing the importance of using parenting programs to promote parental competences. There is a need for this support taking into account the complexity of the parenting task in our modern societies. Following the European recommendation on positive parenting, those parenting programs are considered important measures to support parents in their educational role. Forward, several generations of parenting programs at the international context were briefly described and some examples of programs within the national context, as well. This paper provides some reflection on three models of parental education, and shows the results of an experiential parenting programs addressed to parents in psychosocial risk situation in two Spanish communities. A new program “Crecer felices en familia”, still in the implementation phase, was also described. As a conclusion, the paper emphasized the importance of evaluating programs in order to know more about their efficacy and to improve the way of implementation in real settings.

  4. Programming Language Software For Graphics Applications (United States)

    Beckman, Brian C.


    New approach reduces repetitive development of features common to different applications. High-level programming language and interactive environment with access to graphical hardware and software created by adding graphical commands and other constructs to standardized, general-purpose programming language, "Scheme". Designed for use in developing other software incorporating interactive computer-graphics capabilities into application programs. Provides alternative to programming entire applications in C or FORTRAN, specifically ameliorating design and implementation of complex control and data structures typifying applications with interactive graphics. Enables experimental programming and rapid development of prototype software, and yields high-level programs serving as executable versions of software-design documentation.

  5. ALPS: A Linear Program Solver (United States)

    Ferencz, Donald C.; Viterna, Larry A.


    ALPS is a computer program which can be used to solve general linear program (optimization) problems. ALPS was designed for those who have minimal linear programming (LP) knowledge and features a menu-driven scheme to guide the user through the process of creating and solving LP formulations. Once created, the problems can be edited and stored in standard DOS ASCII files to provide portability to various word processors or even other linear programming packages. Unlike many math-oriented LP solvers, ALPS contains an LP parser that reads through the LP formulation and reports several types of errors to the user. ALPS provides a large amount of solution data which is often useful in problem solving. In addition to pure linear programs, ALPS can solve for integer, mixed integer, and binary type problems. Pure linear programs are solved with the revised simplex method. Integer or mixed integer programs are solved initially with the revised simplex, and the completed using the branch-and-bound technique. Binary programs are solved with the method of implicit enumeration. This manual describes how to use ALPS to create, edit, and solve linear programming problems. Instructions for installing ALPS on a PC compatible computer are included in the appendices along with a general introduction to linear programming. A programmers guide is also included for assistance in modifying and maintaining the program.

  6. Alma-0: an imperative language that supports declarative programming

    NARCIS (Netherlands)

    K.R. Apt (Krzysztof); J. Brunekreef; V. Partinton; A. Schaerf


    textabstractWe describe here an implemented small programming language, called Alma, that augments the expressive power of imperative programming by a limited number of features inspired by the logic programming paradigm. These additions encourage declarative programming and make it a more

  7. Programming principles and practice using C++

    CERN Document Server

    Stroustrup, Bjarne


    An Introduction to Programming by the Inventor of C++ Preparation for Programming in the Real World The book assumes that you aim eventually to write non-trivial programs, whether for work in software development or in some other technical field. Focus on Fundamental Concepts and Techniques The book explains fundamental concepts and techniques in greater depth than traditional introductions. This approach will give you a solid foundation for writing useful, correct, maintainable, and efficient code. Programming with Today's C++ (C++11 and C++14) The book is an introduction to programming in general, including object-oriented programming and generic programming. It is also a solid introduction to the C++ programming language, one of the most widely used languages for real-world software. The book presents modern C++ programming techniques from the start, introducing the C++ standard library and C++11 and C++14 features to simplify programming tasks. For Beginners-And Anyone Who Wants to Learn Something New The...

  8. Industrial Energy Efficiency: Designing Effective State Programs for the Industrial Sector

    Energy Technology Data Exchange (ETDEWEB)

    Goldberg, Amelie [Institute for Industrial Productivity (United States); Taylor, Robert P. [Institute for Industrial Productivity (United States); Hedman, Bruce [Institute for Industrial Productivity (United States)


    This report provides state regulators, utilities, and other program administrators with an overview of U.S. industrial energy efficiency programs and assesses some of the key features of programs that have generated increased energy savings.

  9. Innovations in individual feature history management - The significance of feature-based temporal model (United States)

    Choi, J.; Seong, J.C.; Kim, B.; Usery, E.L.


    A feature relies on three dimensions (space, theme, and time) for its representation. Even though spatiotemporal models have been proposed, they have principally focused on the spatial changes of a feature. In this paper, a feature-based temporal model is proposed to represent the changes of both space and theme independently. The proposed model modifies the ISO's temporal schema and adds new explicit temporal relationship structure that stores temporal topological relationship with the ISO's temporal primitives of a feature in order to keep track feature history. The explicit temporal relationship can enhance query performance on feature history by removing topological comparison during query process. Further, a prototype system has been developed to test a proposed feature-based temporal model by querying land parcel history in Athens, Georgia. The result of temporal query on individual feature history shows the efficiency of the explicit temporal relationship structure. ?? Springer Science+Business Media, LLC 2007.

  10. An Efficient Method of HOG Feature Extraction Using Selective Histogram Bin and PCA Feature Reduction

    National Research Council Canada - National Science Library

    LAI, C. Q; TEOH, S. S


    .... In this paper, a time-efficient HOG-based feature extraction method is proposed. The method uses selective number of histogram bins to perform feature extraction on different regions in the image...

  11. Detection and tracking of facial features (United States)

    De Silva, Liyanage C.; Aizawa, Kiyoharu; Hatori, Mitsutoshi


    Detection and tracking of facial features without using any head mounted devices may become required in various future visual communication applications, such as teleconferencing, virtual reality etc. In this paper we propose an automatic method of face feature detection using a method called edge pixel counting. Instead of utilizing color or gray scale information of the facial image, the proposed edge pixel counting method utilized the edge information to estimate the face feature positions such as eyes, nose and mouth in the first frame of a moving facial image sequence, using a variable size face feature template. For the remaining frames, feature tracking is carried out alternatively using a method called deformable template matching and edge pixel counting. One main advantage of using edge pixel counting in feature tracking is that it does not require the condition of a high inter frame correlation around the feature areas as is required in template matching. Some experimental results are shown to demonstrate the effectiveness of the proposed method.

  12. MRI features associated with acute appendicitis

    Energy Technology Data Exchange (ETDEWEB)

    Leeuwenburgh, Marjolein M.N. [University of Amsterdam, Department of Surgery, Academic Medical Center, Amsterdam (Netherlands); University of Amsterdam, Department of Radiology, Academic Medical Center, Amsterdam (Netherlands); Academic Medical Center, Department of Radiology (G1-223.1), Amsterdam (Netherlands); Jensch, Sebastiaan [Sint Lucas Andreas Hospital, Department of Radiology, Amsterdam (Netherlands); Gratama, Jan W.C. [Gelre Hospitals, Department of Radiology, Apeldoorn (Netherlands); Spilt, Aart [Kennemer Gasthuis, Department of Radiology, Haarlem (Netherlands); Wiarda, Bart M. [Alkmaar Medical Center, Department of Radiology, Alkmaar (Netherlands); Es, H.W. van [Sint Antonius Hospital, Department of Radiology, Nieuwegein (Netherlands); Cobben, Lodewijk P.J. [Haaglanden Medical Center, Department of Radiology, Leidschendam (Netherlands); Bossuyt, Patrick M.M. [University of Amsterdam, Department of Clinical Epidemiology, Academic Medical Center, Amsterdam (Netherlands); Boermeester, Marja A. [University of Amsterdam, Department of Surgery, Academic Medical Center, Amsterdam (Netherlands); Stoker, Jaap [University of Amsterdam, Department of Radiology, Academic Medical Center, Amsterdam (Netherlands); Collaboration: on behalf of the OPTIMAP study group


    To identify MRI features associated with appendicitis. Features expected to be associated with appendicitis were recorded in consensus by two expert radiologists on 223 abdominal MRIs in patients with suspected appendicitis. Nine MRI features were studied: appendix diameter >7 mm, appendicolith, peri-appendiceal fat infiltration, peri-appendiceal fluid, absence of gas in the appendix, appendiceal wall destruction, restricted diffusion of the appendiceal wall, lumen or focal fluid collections. Appendicitis was assigned as the final diagnosis in 117/223 patients. Associations between imaging features and appendicitis were evaluated with logistic regression analysis. All investigated features were significantly associated with appendicitis in univariate analysis. Combinations of two and three features were associated with a probability of appendicitis of 88 % and 92 %, respectively. In patients without any of the nine features, appendicitis was present in 2 % of cases. After multivariate analysis, only an appendix diameter >7 mm, peri-appendiceal fat infiltration and restricted diffusion of the appendiceal wall were significantly associated with appendicitis. The probability of appendicitis was 96 % in their presence and 2 % in their absence. An appendix diameter >7 mm, peri-appendiceal fat infiltration and restricted diffusion of the appendiceal wall have the strongest association with appendicitis on MRI. (orig.)

  13. Genetic feature selection for gait recognition (United States)

    Tafazzoli, Faezeh; Bebis, George; Louis, Sushil; Hussain, Muhammad


    Many research studies have demonstrated that gait can serve as a useful biometric modality for human identification at a distance. Traditional gait recognition systems, however, have mostly been evaluated without explicitly considering the most relevant gait features, which might have compromised performance. We investigate the problem of selecting a subset of the most relevant gait features for improving gait recognition performance. This is achieved by discarding redundant and irrelevant gait features while preserving the most informative ones. Motivated by our previous work on feature subset selection using genetic algorithms (GAs), we propose using GAs to select an optimal subset of gait features. First, features are extracted using kernel principal component analysis (KPCA) on spatiotemporal projections of gait silhouettes. Then, GA is applied to select a subset of eigenvectors in KPCA space that best represents a subject's identity. Each gait pattern is then represented by projecting it only on the eigenvectors selected by the GA. To evaluate the effectiveness of the selected features, we have experimented with two different classifiers: k nearest-neighbor and Naïve Bayes classifier. We report considerable gait recognition performance improvements on the Georgia Tech and CASIA databases.

  14. Multimodal Feature-Based Surface Material Classification. (United States)

    Strese, Matti; Schuwerk, Clemens; Iepure, Albert; Steinbach, Eckehard


    When a tool is tapped on or dragged over an object surface, vibrations are induced in the tool, which can be captured using acceleration sensors. The tool-surface interaction additionally creates audible sound waves, which can be recorded using microphones. Features extracted from camera images provide additional information about the surfaces. We present an approach for tool-mediated surface classification that combines these signals and demonstrate that the proposed method is robust against variable scan-time parameters. We examine freehand recordings of 69 textured surfaces recorded by different users and propose a classification system that uses perception-related features, such as hardness, roughness, and friction; selected features adapted from speech recognition, such as modified cepstral coefficients applied to our acceleration signals; and surface texture-related image features. We focus on mitigating the effect of variable contact force and exploration velocity conditions on these features as a prerequisite for a robust machine-learning-based approach for surface classification. The proposed system works without explicit scan force and velocity measurements. Experimental results show that our proposed approach allows for successful classification of textured surfaces under variable freehand movement conditions, exerted by different human operators. The proposed subset of six features, selected from the described sound, image, friction force, and acceleration features, leads to a classification accuracy of 74 percent in our experiments when combined with a Naive Bayes classifier.

  15. Discriminative feature selection for visual tracking (United States)

    Ma, Junkai; Luo, Haibo; Zhou, Wei; Song, Yingchao; Hui, Bin; Chang, Zheng


    Visual tracking is an important role in computer vision tasks. The robustness of tracking algorithm is a challenge. Especially in complex scenarios such as clutter background, illumination variation and appearance changes etc. As an important component in tracking algorithm, the appropriateness of feature is closed related to the tracking precision. In this paper, an online discriminative feature selection is proposed to provide the tracker the most discriminative feature. Firstly, a feature pool which contains different information of the image such as gradient, gray value and edge is built. And when every frame is processed during tracking, all of these features will be extracted. Secondly, these features are ranked depend on their discrimination between target and background and the highest scored feature is chosen to represent the candidate image patch. Then, after obtaining the tracking result, the target model will be update to adapt the appearance variation. The experiment show that our method is robust when compared with other state-of-the-art algorithms.

  16. Glacial Features (Point) - Quad 170 (PORTSMOUTH, NH-ME) (United States)

    University of New Hampshire — The Glacial Features (Point) layer describes point features associated with surficial geology. These glacial features include, but are not limited to, delta forsets,...

  17. Glacial Features (Point) - Quad 202 (NEWBURYPORT EAST, MA-NH) (United States)

    University of New Hampshire — The Glacial Features (Point) layer describes point features associated with surficial geology. These glacial features include, but are not limited to, delta forsets,...

  18. Types for DSP Assembler Programs

    DEFF Research Database (Denmark)

    Larsen, Ken


    in assembler language. However, programming in assembler causes numerous problems, such as memory corruption, for instance. To test the thesis I define a model assembler language called Featherweight DSP which captures some of the essential features of a real custom DSP used in the industrial partner's digital...

  19. CIEE 1993 annual conference: Program

    Energy Technology Data Exchange (ETDEWEB)


    The California Institute for Energy efficiency`s third annual conference highlights the results of CIEE-sponsored multiyear research in three programs: Building Energy Efficiency, Air Quality Impacts of Energy Efficiency, and End-Use Resource Planning. Results from scoping studies, Director`s discretionary research, and exploratory research are also featured.

  20. An Efficient Method of HOG Feature Extraction Using Selective Histogram Bin and PCA Feature Reduction


    Lai, C.Q.; TEOH, S. S.


    Histogram of Oriented Gradient (HOG) is a popular image feature for human detection. It presents high detection accuracy and therefore has been widely used in vision-based surveillance and pedestrian detection systems. However, the main drawback of this feature is that it has a large feature size. The extraction algorithm is also computationally intensive and requires long processing time. In this paper, a time-efficient HOG-based feature extraction method is proposed. The method ...

  1. Feature selection for data and pattern recognition

    CERN Document Server

    Jain, Lakhmi


    This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition. Even though it has been the subject of interest for some time, feature selection remains one of actively pursued avenues of investigations due to its importance and bearing upon other problems and tasks. This volume points to a number of advances topically subdivided into four parts: estimation of importance of characteristic features, their relevance, dependencies, weighting and ranking; rough set approach to attribute reduction with focus on relative reducts; construction of rules and their evaluation; and data- and domain-oriented methodologies.

  2. Max-Margin-Based Discriminative Feature Learning. (United States)

    Li, Changsheng; Liu, Qingshan; Dong, Weishan; Wei, Fan; Zhang, Xin; Yang, Lin


    In this brief, we propose a new max-margin-based discriminative feature learning method. In particular, we aim at learning a low-dimensional feature representation, so as to maximize the global margin of the data and make the samples from the same class as close as possible. In order to enhance the robustness to noise, we leverage a regularization term to make the transformation matrix sparse in rows. In addition, we further learn and leverage the correlations among multiple categories for assisting in learning discriminative features. The experimental results demonstrate the power of the proposed method against the related state-of-the-art methods.

  3. Discrete Feature Model (DFM) User Documentation

    Energy Technology Data Exchange (ETDEWEB)

    Geier, Joel (Clearwater Hardrock Consulting, Corvallis, OR (United States))


    This manual describes the Discrete-Feature Model (DFM) software package for modelling groundwater flow and solute transport in networks of discrete features. A discrete-feature conceptual model represents fractures and other water-conducting features around a repository as discrete conductors surrounded by a rock matrix which is usually treated as impermeable. This approximation may be valid for crystalline rocks such as granite or basalt, which have very low permeability if macroscopic fractures are excluded. A discrete feature is any entity that can conduct water and permit solute transport through bedrock, and can be reasonably represented as a piecewise-planar conductor. Examples of such entities may include individual natural fractures (joints or faults), fracture zones, and disturbed-zone features around tunnels (e.g. blasting-induced fractures or stress-concentration induced 'onion skin' fractures around underground openings). In a more abstract sense, the effectively discontinuous nature of pathways through fractured crystalline bedrock may be idealized as discrete, equivalent transmissive features that reproduce large-scale observations, even if the details of connective paths (and unconnected domains) are not precisely known. A discrete-feature model explicitly represents the fundamentally discontinuous and irregularly connected nature of systems of such systems, by constraining flow and transport to occur only within such features and their intersections. Pathways for flow and solute transport in this conceptualization are a consequence not just of the boundary conditions and hydrologic properties (as with continuum models), but also the irregularity of connections between conductive/transmissive features. The DFM software package described here is an extensible code for investigating problems of flow and transport in geological (natural or human-altered) systems that can be characterized effectively in terms of discrete features. With this

  4. Radiographic, CT and MRI features of cherubism

    Energy Technology Data Exchange (ETDEWEB)

    Jain, Vaibhav; Sharma, Raju [All India Institute of Medical Sciences, Department of Radiodiagnosis, New Delhi (India)


    Cherubism is a paediatric disease affecting the jaws. It is a close radiological mimic of giant cell lesions of the mandible. The radiographic features of this condition are well known; however, the MR imaging features have not been well described. We describe the radiographic, CT and MR imaging features of cherubism in a 5-year-old girl. We highlight the MR appearances of cherubic lesions and the ability of MRI to not only accurately depict the anatomical extent of the lesions, but also to reveal signal intensity changes in those areas that are apparently normal on radiographs and CT images. (orig.)

  5. Program Facilitates CMMI Appraisals (United States)

    Sweetser, Wesley


    A computer program has been written to facilitate appraisals according to the methodology of Capability Maturity Model Integration (CMMI). [CMMI is a government/industry standard, maintained by the Software Engineering Institute at Carnegie Mellon University, for objectively assessing the engineering capability and maturity of an organization (especially, an organization that produces software)]. The program assists in preparation for a CMMI appraisal by providing drop-down lists suggesting required artifacts or evidence. It identifies process areas for which similar evidence is required and includes a copy feature that reduces or eliminates repetitive data entry. It generates reports to show the entire framework for reference, the appraisal artifacts to determine readiness for an appraisal, and lists of interviewees and questions to ask them during the appraisal. During an appraisal, the program provides screens for entering observations and ratings, and reviewing evidence provided thus far. Findings concerning strengths and weaknesses can be exported for use in a report or a graphical presentation. The program generates a chart showing capability level ratings of the organization. A context-sensitive Windows help system enables a novice to use the program and learn about the CMMI appraisal process.

  6. Effective Programming

    DEFF Research Database (Denmark)

    Frost, Jacob

    To investigate the use of VTLoE as a basis for formal derivation of functional programs with effects. As a part of the process, a number of issues central to effective formal programming are considered. In particular it is considered how to develop a proof system suitable for pratical reasoning......, how to implement this system in the generic proof assistant Isabelle and finally how to apply the logic and the implementation to programming....

  7. Program Fullerene

    DEFF Research Database (Denmark)

    Wirz, Lukas; Peter, Schwerdtfeger,; Avery, James Emil


    Fullerene (Version 4.4), is a general purpose open-source program that can generate any fullerene isomer, perform topological and graph theoretical analysis, as well as calculate a number of physical and chemical properties. The program creates symmetric planar drawings of the fullerene graph......-Fowler, and Brinkmann-Fowler vertex insertions. The program is written in standard Fortran and C++, and can easily be installed on a Linux or UNIX environment....

  8. Paha Ridges Landform Features of Iowa (United States)

    Iowa State University GIS Support and Research Facility — A landscape is a collection of land shapes or land forms. Landform regions are a grouping of individual landscape features that have a common geomophology. In Iowa,...

  9. Visualization of Features in 3D Terrain

    National Research Council Canada - National Science Library

    Steve Dübel; Heidrun Schumann


    In 3D terrain analysis, topographical characteristics, such as mountains or valleys, and geo-spatial data characteristics, such as specific weather conditions or objects of interest, are important features...

  10. Foundations for Feature Engineering of Software Systems

    National Research Council Canada - National Science Library

    Turner, C. R; Wolf, Alexander L


    .... Users are focused on the problem domain, where the system's features are the primary concern, and developers are focused on the solution domain, where the system's life cycle artifacts are key...

  11. determination of morphological features and molecular interactions ...

    African Journals Online (AJOL)


    ABSTRACT. This research focused on identifying the morphological features and molecular interactions of the. Nigerian Bentonitic clays using Scanning Electron Microscope (SEM) characterisation technique. The SEM microstructure images indicated that the bentonite samples are generally moderately dispersive to ...

  12. Feature Hepatitis: Hepatitis Symptoms, Diagnosis, Treatment & Prevention (United States)

    ... Navigation Bar Home Current Issue Past Issues Feature Hepatitis Hepatitis: Symptoms, Diagnosis, Treatment & Prevention Past Issues / Spring 2009 ... No appetite Fever Headaches Diagnosis To check for hepatitis viruses, your doctor will test your blood. You ...

  13. Feature Hepatitis: Hepatitis Can Strike Anyone (United States)

    ... Navigation Bar Home Current Issue Past Issues Feature Hepatitis Hepatitis Can Strike Anyone Past Issues / Spring 2009 Table ... from all walks of life are affected by hepatitis, especially hepatitis C, the most common form of ...

  14. A description of ASL features in writing

    Directory of Open Access Journals (Sweden)

    Kimberly A. Wolbers


    Full Text Available Similar to second language students who embed features of their primary languages in the writing of their second languages, deaf and hard of hearing (d/hh writers utilize features of American Sign Language (ASL in their writing of English. The purpose of this study is to identify categories of language transfer, provide the prevalence of these transfer tendencies in the writings of 29 d/hh adolescents and describe whether language features are equally or differently responsive to instruction. Findings indicate six categories of language transfer in order of prevalence: unique glossing & substitution, adjectives, plurality & adverbs, topicalization, and conjunctions. ASL features, of both lexical and syntactical nature, appear to respond similarly to instruction.

  15. Diagnostic clinical features of atopic dermatitis

    Directory of Open Access Journals (Sweden)

    Sharma Lata


    Full Text Available Atopic dermatitis is a common disease which varies widely in clinical presentation at different ages and places. Although authors working in western countries on white races have suggested many criteria, there is no uniform set which can be used in large population studies in this part of the world. Hence keeping in mind differences in environment and ethnicity of population, the present study was carried out. Seventy- three patients of atopic dermatitis and 71 age matched controls were studied. All the subjects were examined using a set of 34 potentially useful clinical features selected from different studies, including features for evaluation of photosensitivity. Multiple regression technique was used for analysing the data. It was found that 6 clinical features were diagnostic, 1. presence of itch, 2. history of flexural involvement, 3. history of dry skin, 4. family history of atopy, 5. personal history of diagnosed asthma and 6, visible flexural dermatitis. Photosensitivity was not a significant feature.

  16. Breast Cancers Between Mammograms Have Aggressive Features (United States)

    Breast cancers that are discovered in the period between regular screening mammograms—known as interval cancers—are more likely to have features associated with aggressive behavior and a poor prognosis than cancers found via screening mammograms.

  17. Infrared image mosaic using point feature operators (United States)

    Huang, Zhen; Sun, Shaoyuan; Shen, Zhenyi; Hou, Junjie; Zhao, Haitao


    In this paper, we study infrared image mosaic around a single point of rotation, aiming at expanding the narrow view range of infrared images. We propose an infrared image mosaic method using point feature operators including image registration and image synthesis. Traditional mosaic algorithms usually use global image registration methods to extract the feature points in the global image, which cost too much time as well as considerable matching errors. To address this issue, we first roughly calculate the image shift amount using phase correlation and determine the overlap region between images, and then extract image features in overlap region, which shortens the registration time and increases the quality of feature points. We improve the traditional algorithm through increasing constraints of point matching based on prior knowledge of image shift amount based on which the weighted map is computed using fade in-out method. The experimental results verify that the proposed method has better real time performance and robustness.

  18. Cherubism: panoramic and CT features in adults. (United States)

    Redfors, M; Jensen, J L; Storhaug, K; Prescott, T; Larheim, T A


    To describe the panoramic radiographic and CT features of cherubism in an unselected series of 15 adults. In this cross-sectional study, 15 individuals aged 29-84 years with familial non-syndromal molecularly confirmed cherubism were examined with panoramic radiography and CT. Bone abnormalities were analysed and described. 11 (73%) of the 15 adults had mandibular abnormalities. These abnormalities ranged from subtly detectable to severe, and were less prevalent and expansive but could be rather similar to the characteristic image features in children. Unilocular radiolucencies were more common than multilocular radiolucencies, and a specific feature of these abnormalities was that they were exclusively found in the anterior mandible. The radiographic and CT abnormalities of cherubism in adults were frequent and extremely heterogeneous, with some distinct features.

  19. Clinical Features and Treatments of Odontogenic Sinusitis

    National Research Council Canada - National Science Library

    Lee, Kyung Chul; Lee, Sung Jin


    The aim of this study was to investigate how clinical features such as sex, age, etiologic factors, and presenting symptoms of odontogenic sinusitis are differentiated from other types of sinusitis...

  20. Lineated Inliers Landform Features of Iowa (United States)

    Iowa State University GIS Support and Research Facility — A landscape is a collection of land shapes or land forms. Landform regions are a grouping of individual landscape features that have a common geomophology. In Iowa,...


    Directory of Open Access Journals (Sweden)

    E. Guilbert


    Full Text Available On most large scale and middle scale maps, relief is represented by contours and spot heights. In order to adapt the representation to the scale, the terrain is generalised either by smoothing or filtering the terrain model or by simplifying the contours. However this approach is not applicable to nautical chart construction where terrain features are selected according to their importance for navigation. This paper presents an approach for the consideration of feature attributes in the generalisation of a set of contours with respect to nautical chart constraints. Features are defined by sets of contours and a set of generalisation operators applied to features is presented. The definitions are introduced in a multi-agent system in order to perform automatic generalisation of a contour set. Results are discussed on a case study and directions for future work are presented.

  2. Schizophrenia classification using functional network features (United States)

    Rish, Irina; Cecchi, Guillermo A.; Heuton, Kyle


    This paper focuses on discovering statistical biomarkers (features) that are predictive of schizophrenia, with a particular focus on topological properties of fMRI functional networks. We consider several network properties, such as node (voxel) strength, clustering coefficients, local efficiency, as well as just a subset of pairwise correlations. While all types of features demonstrate highly significant statistical differences in several brain areas, and close to 80% classification accuracy, the most remarkable results of 93% accuracy are achieved by using a small subset of only a dozen of most-informative (lowest p-value) correlation features. Our results suggest that voxel-level correlations and functional network features derived from them are highly informative about schizophrenia and can be used as statistical biomarkers for the disease.

  3. Petrographic features, geochemical trends and mass balance ...

    African Journals Online (AJOL)

    Petrographic features, geochemical trends and mass balance computation, in relation to the evolution of anatectic migmatites in the granulite facies terrain of the Manalur area, Tamil Nadu, south India.

  4. Feature Extraction in Radar Target Classification

    Directory of Open Access Journals (Sweden)

    Z. Kus


    Full Text Available This paper presents experimental results of extracting features in the Radar Target Classification process using the J frequency band pulse radar. The feature extraction is based on frequency analysis methods, the discrete-time Fourier Transform (DFT and Multiple Signal Characterisation (MUSIC, based on the detection of Doppler effect. The analysis has turned to the preference of DFT with implemented Hanning windowing function. We assumed to classify targets-vehicles into two classes, the wheeled vehicle and tracked vehicle. The results show that it is possible to classify them only while moving. The feature of the class results from a movement of moving parts of the vehicle. However, we have not found any feature to classify the wheeled and tracked vehicles while non-moving, although their engines are on.

  5. Correlating features in the primordial spectra

    CERN Document Server

    Achúcarro, Ana; Palma, Gonzalo A; Patil, Subodh P


    Heavy fields coupled to the inflaton reduce the speed of sound in the effective theory of the adiabatic mode each time the background inflationary trajectory deviates from a geodesic. This can result in features in the primordial spectra. We compute the corresponding bispectrum and show that if a varying speed of sound induces features in the power spectrum, the change in the bispectrum is given by a simple formula involving the change in the power spectrum and its derivatives. In this manner, we provide a uniquely discriminable signature of a varying sound speed for the adiabatic mode during inflation that indicates the influence of heavy fields. We find that features in the bispectrum peak in the equilateral limit and, in particular, in the squeezed limit we find considerable enhancement entirely consistent with the single field consistency relation. From the perspective of the underlying effective theory, our results generalize to a wide variety of inflationary models where features are sourced by the time...

  6. Clinicopathological features of plasmablastic multiple myeloma

    DEFF Research Database (Denmark)

    Møller, Hanne E H; Preiss, Birgitte S; Pedersen, Per


    changes were studied by karyotyping and fluorescence in situ hybridization (FISH). Plasmablastic morphology correlated with unfavorable clinical features, high proliferation index, high percentage of plasma cell infiltration in the bone marrow, abnormal karyotype, and del(13q) detected by karyotyping...

  7. Lineated Ridges Landform Features of Iowa (United States)

    Iowa State University GIS Support and Research Facility — A landscape is a collection of land shapes or land forms. Landform Regions are a grouping of individual landscape features that have a common geomophology. In Iowa,...

  8. Features of the Socio-Political Marketing

    Directory of Open Access Journals (Sweden)

    Poţincu C.-R.


    Full Text Available It can be said that the political marketing has certain features which must be taken into account for efficiently applying the marketing instruments in the political and electoral field.

  9. Parabolic Dunes Landform Features of Iowa (United States)

    Iowa State University GIS Support and Research Facility — A landscape is a collection of land shapes or land forms. Landform Regions are a grouping of individual landscape features that have a common geomophology. In Iowa,...

  10. Capacity for visual features in mental rotation (United States)

    Xu, Yangqing; Franconeri, Steven L.


    Although mental rotation is a core component of scientific reasoning, we still know little about its underlying mechanism. For instance - how much visual information can we rotate at once? Participants rotated a simple multi-part shape, requiring them to maintain attachments between features and moving parts. The capacity of this aspect of mental rotation was strikingly low – only one feature could remain attached to one part. Behavioral and eyetracking data showed that this single feature remained ‘glued’ via a singular focus of attention, typically on the object’s top. We argue that the architecture of the human visual system is not suited for keeping multiple features attached to multiple parts during mental rotation. Such measurement of the capacity limits may prove to be a critical step in dissecting the suite of visuospatial tools involved in mental rotation, leading to insights for improvement of pedagogy in science education contexts. PMID:26174781

  11. Automated Feature Extraction from Hyperspectral Imagery Project (United States)

    National Aeronautics and Space Administration — In response to NASA Topic S7.01, Visual Learning Systems, Inc. (VLS) will develop a novel hyperspectral plug-in toolkit for its award winning Feature AnalystREG...

  12. Automated Feature Extraction from Hyperspectral Imagery Project (United States)

    National Aeronautics and Space Administration — The proposed activities will result in the development of a novel hyperspectral feature-extraction toolkit that will provide a simple, automated, and accurate...

  13. Electrocardiographic features suggestive of a left. ventricular ...

    African Journals Online (AJOL)

    Abstract. Electrocardiographic features suggestive of a transmural anterior myocardial infarction with resultant left ventricular aneurysm formation were found in a 22-year-old man who had sustained a ballistic missile injury to his chest.

  14. Programming Interactivity

    CERN Document Server

    Noble, Joshua


    Make cool stuff. If you're a designer or artist without a lot of programming experience, this book will teach you to work with 2D and 3D graphics, sound, physical interaction, and electronic circuitry to create all sorts of interesting and compelling experiences -- online and off. Programming Interactivity explains programming and electrical engineering basics, and introduces three freely available tools created specifically for artists and designers: Processing, a Java-based programming language and environment for building projects on the desktop, Web, or mobile phonesArduino, a system t

  15. Programming F#

    CERN Document Server

    Smith, Chris


    Why learn F#? This multi-paradigm language not only offers you an enormous productivity boost through functional programming, it also lets you develop applications using your existing object-oriented and imperative programming skills. With Programming F#, you'll quickly discover the many advantages of Microsoft's new language, which includes access to all the great tools and libraries of the .NET platform. Learn how to reap the benefits of functional programming for your next project -- whether it's quantitative computing, large-scale data exploration, or even a pursuit of your own. With th

  16. Feature-aided multiple target tracking in the image plane (United States)

    Brown, Andrew P.; Sullivan, Kevin J.; Miller, David J.


    Vast quantities of EO and IR data are collected on airborne platforms (manned and unmanned) and terrestrial platforms (including fixed installations, e.g., at street intersections), and can be exploited to aid in the global war on terrorism. However, intelligent preprocessing is required to enable operator efficiency and to provide commanders with actionable target information. To this end, we have developed an image plane tracker which automatically detects and tracks multiple targets in image sequences using both motion and feature information. The effects of platform and camera motion are compensated via image registration, and a novel change detection algorithm is applied for accurate moving target detection. The contiguous pixel blob on each moving target is segmented for use in target feature extraction and model learning. Feature-based target location measurements are used for tracking through move-stop-move maneuvers, close target spacing, and occlusion. Effective clutter suppression is achieved using joint probabilistic data association (JPDA), and confirmed target tracks are indicated for further processing or operator review. In this paper we describe the algorithms implemented in the image plane tracker and present performance results obtained with video clips from the DARPA VIVID program data collection and from a miniature unmanned aerial vehicle (UAV) flight.

  17. New Spectral Features from Bound Dark Matter

    DEFF Research Database (Denmark)

    Catena, Riccardo; Kouvaris, Chris


    We demonstrate that dark matter particles gravitationally bound to the Earth can induce a characteristic nuclear recoil signal at low energies in direct detection experiments. The new spectral feature we predict can provide the ultimate smoking gun for dark matter discovery for experiments...... with positive signal but unclear background. The new feature is universal, in that the ratio of bound over halo dark matter event rates at detectors is independent of the dark matter-nucleon cross section....

  18. Features of triple-negative breast cancer


    Plasilova, Magdalena L.; Hayse, Brandon; Killelea, Brigid K.; Horowitz, Nina R; Chagpar, Anees B.; Donald R. Lannin


    Abstract The aim of this study was to determine the features of triple-negative breast cancer (TNBC) using a large national database. TNBC is known to be an aggressive subtype, but national epidemiologic data are sparse. All patients with invasive breast cancer and known molecular subtype diagnosed in 2010 to 2011 were identified from the National Cancer Data Base (NCDB). Patients with and without TNBC were compared with respect to their sociodemographic and clinicopathologic features. TNBC w...



    Nishant Singh; Shiv Ram Dubey; Pushkar Dixit; Jay Prakash Gupta


    In Content Based Image Retrieval (CBIR) some problem such as recognizing the similar images, the need for databases, the semantic gap, and retrieving the desired images from huge collections are the keys to improve. CBIR system analyzes the image content for indexing, management, extraction and retrieval via low-level features such as color, texture and shape. To achieve higher semantic performance, recent system seeks to combine the low-level features of images with high-level...

  20. Multi-Feature Registration of Point Clouds

    Directory of Open Access Journals (Sweden)

    Tzu-Yi Chuang


    Full Text Available Light detection and ranging (LiDAR has become a mainstream technique for rapid acquisition of 3-D geometry. Current LiDAR platforms can be mainly categorized into spaceborne LiDAR system (SLS, airborne LiDAR system (ALS, mobile LiDAR system (MLS, and terrestrial LiDAR system (TLS. Point cloud registration between different scans of the same platform or different platforms is essential for establishing a complete scene description and improving geometric consistency. The discrepancies in data characteristics should be manipulated properly for precise transformation estimation. This paper proposes a multi-feature registration scheme suitable for utilizing point, line, and plane features extracted from raw point clouds to realize the registrations of scans acquired within the same LIDAR system or across the different platforms. By exploiting the full geometric strength of the features, different features are used exclusively or combined with others. The uncertainty of feature observations is also considered within the proposed method, in which the registration of multiple scans can be simultaneously achieved. The simulated test with an ideal geometry and data simplification was performed to assess the contribution of different features towards point cloud registration in a very essential fashion. On the other hand, three real cases of registration between LIDAR scans from single platform and between those acquired by different platforms were demonstrated to validate the effectiveness of the proposed method. In light of the experimental results, it was found that the proposed model with simultaneous and weighted adjustment rendered satisfactory registration results and showed that not only features inherited in the scene can be more exploited to increase the robustness and reliability for transformation estimation, but also the weak geometry of poorly overlapping scans can be better treated than utilizing only one single type of feature. The

  1. Feature fusion for lung nodule classification. (United States)

    Farag, Amal A; Ali, Asem; Elshazly, Salwa; Farag, Aly A


    This article examines feature-based nodule description for the purpose of nodule classification in chest computed tomography scanning. Three features based on (i) Gabor filter, (ii) multi-resolution local binary pattern (LBP) texture features and (iii) signed distance fused with LBP which generates a combinational shape and texture feature are utilized to provide feature descriptors of malignant and benign nodules and non-nodule regions of interest. Support vector machines (SVMs) and k-nearest neighbor (kNN) classifiers in serial and two-tier cascade frameworks are optimized and analyzed for optimal classification results of nodules. A total of 1191 nodule and non-nodule samples from the Lung Image Data Consortium database is used for analysis. Classification using SVM and kNN classifiers is examined. The classification results from the two-tier cascade SVM using Gabor features showed overall better results for identifying non-nodules, malignant and benign nodules with average area under the receiver operating characteristics (AUC-ROC) curves of 0.99 and average f1-score of 0.975 over the two tiers. In the results, higher overall AUCs and f1-scores were obtained for the non-nodules cases using any of the three features, showing the greatest distinguishability over nodules (benign/malignant). SVM and kNN classifiers were used for benign, malignant and non-nodule classification, where Gabor proved to be the most effective of the features for classification. The cascaded framework showed the greatest distinguishability between benign and malignant nodules.

  2. Orofacial features of Treacher Collins syndrome


    Martelli, H; Coletta, RD; Miranda, RT; de Barros, LM; Swerts, MS; Bonan, PR


    Treacher Collins syndrome (TCS) is a rare autosomal dominant disorder of craniofacial development. Major features include midface hypoplasia, micrognathia, microtia, conductive hearing loss, and cleft palate. The present study is on the orofacial features of 7 Brazilian patients with sporadic TCS aged 4 to 38 years. All patients presented the typical down-slanting palpebral fissures, colobomas, zygomatic and mandibular hypoplasia, partial absence of the lower eyelid cilia, and abnormalities o...

  3. Extracting Product Features from Chinese Product Reviews


    Yahui Xi


    With the great development of e-commerce, the number of product reviews grows rapidly on the e-commerce websites. Review mining has recently received a lot of attention, which aims to discover the valuable information from the massive product reviews. Product feature extraction is one of the basic tasks of product review mining. Its effectiveness can influence significantly the performance of subsequent jobs. Double Propagation is a state-of-the-art technique in product feature extraction. In...

  4. Learning Hierarchical Feature Extractors for Image Recognition (United States)


    Learning Hierarchical Feature Extractors For Image Recognition by Y-Lan Boureau A dissertation submitted in partial fulfillment of the requirements...DATES COVERED 00-00-2012 to 00-00-2012 4. TITLE AND SUBTITLE Learning Hierarchical Feature Extractors For Image Recognition 5a. CONTRACT...pooling for all weighting schemes. With average pooling, weighting by the square root of the cluster weight performs best. P = 16 configuration space

  5. Feature Vector Construction Method for IRIS Recognition (United States)

    Odinokikh, G.; Fartukov, A.; Korobkin, M.; Yoo, J.


    One of the basic stages of iris recognition pipeline is iris feature vector construction procedure. The procedure represents the extraction of iris texture information relevant to its subsequent comparison. Thorough investigation of feature vectors obtained from iris showed that not all the vector elements are equally relevant. There are two characteristics which determine the vector element utility: fragility and discriminability. Conventional iris feature extraction methods consider the concept of fragility as the feature vector instability without respect to the nature of such instability appearance. This work separates sources of the instability into natural and encodinginduced which helps deeply investigate each source of instability independently. According to the separation concept, a novel approach of iris feature vector construction is proposed. The approach consists of two steps: iris feature extraction using Gabor filtering with optimal parameters and quantization with separated preliminary optimized fragility thresholds. The proposed method has been tested on two different datasets of iris images captured under changing environmental conditions. The testing results show that the proposed method surpasses all the methods considered as a prior art by recognition accuracy on both datasets.

  6. Currency features for visually impaired people (United States)

    Hyland, Sandra L.; Legge, Gordon E.; Shannon, Robert R.; Baer, Norbert S.


    The estimated 3.7 million Americans with low vision experience a uniquely difficult task in identifying the denominations of U.S. banknotes because the notes are remarkably uniform in size, color, and general design. The National Research Council's Committee on Currency Features Usable by the Visually Impaired assessed features that could be used by people who are visually disabled to distinguish currency from other documents and to denominate and authenticate banknotes using available technology. Variation of length and height, introduction of large numerals on a uniform, high-contrast background, use of different colors for each of the six denominations printed, and the introduction of overt denomination codes that could lead to development of effective, low-cost devices for examining banknotes were all deemed features available now. Issues affecting performance, including the science of visual and tactile perception, were addressed for these features, as well as for those features requiring additional research and development. In this group the committee included durable tactile features such as those printed with transparent ink, and the production of currency with holes to indicate denomination. Among long-range approaches considered were the development of technologically advanced devices and smart money.

  7. Robust Feature Detection for Facial Expression Recognition

    Directory of Open Access Journals (Sweden)

    Spiros Ioannou


    Full Text Available This paper presents a robust and adaptable facial feature extraction system used for facial expression recognition in human-computer interaction (HCI environments. Such environments are usually uncontrolled in terms of lighting and color quality, as well as human expressivity and movement; as a result, using a single feature extraction technique may fail in some parts of a video sequence, while performing well in others. The proposed system is based on a multicue feature extraction and fusion technique, which provides MPEG-4-compatible features assorted with a confidence measure. This confidence measure is used to pinpoint cases where detection of individual features may be wrong and reduce their contribution to the training phase or their importance in deducing the observed facial expression, while the fusion process ensures that the final result regarding the features will be based on the extraction technique that performed better given the particular lighting or color conditions. Real data and results are presented, involving both extreme and intermediate expression/emotional states, obtained within the sensitive artificial listener HCI environment that was generated in the framework of related European projects.

  8. The algebraic structure of morphosyntactic features

    Directory of Open Access Journals (Sweden)

    Sebastian Bank


    Full Text Available The most common way of separating homophony from syncretism — which is a basic challenge for any inflectional analysis: to distinguish between accidental and systematic form-identity — is attributing only the latter to a coherent feature combination instantiating a natural class. Features predetermine which form-identities can or cannot be analyzed as natural-class syncretism. Hence, they are crucial for the restrictiveness and predictions of morphological grammar. However, most current theoretical frameworks (e.g.] Anderson 1992, Corbett & Fraser 1993, Halle & Marantz 1993, Stump 2001 do not make explicit their assumptions regarding the formal status of features. They miss out on state-of-the-art formalisms to introduce feature notations like Formal Concept Analysis (FCA, going back to Wille 1982, Ganter & Wille 1999 which provides a formal model of conceptualization in general. In this paper, I will show how FCA provides an all-embracing terminology to reproduce, visualize, and compare feature systems from different morphological frameworks, enables more precise and consistent morphological analyses, and crucially serves to rule out excessively powerful notations where the feature combinatorics are decoupled from the distributional facts they represent.

  9. X-ray, anatomical and biomechanical features in patients with developmental hip dislocation

    Directory of Open Access Journals (Sweden)

    Yusupov K.S.


    Full Text Available The Pupose: to analyze X-ray, anatomical and biomechanical features in patients with developmental hip dislocation. Material and Methods. The study included 73 patients (57 women and 16 men with the developmental hip dislocation at the age of 31 to 76 years. The clinical method, X-ray, gait analysis and visual analogue scale VAS, McGill inquiry. Results. The comparative analysis of X-ray, anatomic and biomechanical features in patients with different severity of developmental hip dislocation. Conclusion. Features of the functional status of patients with different severity of developmental hip dislocation enable to predict the tactics of surgical treatment and individual rehabilitation program.

  10. Simultaneous Channel and Feature Selection of Fused EEG Features Based on Sparse Group Lasso

    Directory of Open Access Journals (Sweden)

    Jin-Jia Wang


    Full Text Available Feature extraction and classification of EEG signals are core parts of brain computer interfaces (BCIs. Due to the high dimension of the EEG feature vector, an effective feature selection algorithm has become an integral part of research studies. In this paper, we present a new method based on a wrapped Sparse Group Lasso for channel and feature selection of fused EEG signals. The high-dimensional fused features are firstly obtained, which include the power spectrum, time-domain statistics, AR model, and the wavelet coefficient features extracted from the preprocessed EEG signals. The wrapped channel and feature selection method is then applied, which uses the logistical regression model with Sparse Group Lasso penalized function. The model is fitted on the training data, and parameter estimation is obtained by modified blockwise coordinate descent and coordinate gradient descent method. The best parameters and feature subset are selected by using a 10-fold cross-validation. Finally, the test data is classified using the trained model. Compared with existing channel and feature selection methods, results show that the proposed method is more suitable, more stable, and faster for high-dimensional feature fusion. It can simultaneously achieve channel and feature selection with a lower error rate. The test accuracy on the data used from international BCI Competition IV reached 84.72%.

  11. Analytical Features: A Knowledge-Based Approach to Audio Feature Generation

    Directory of Open Access Journals (Sweden)

    Pachet François


    Full Text Available We present a feature generation system designed to create audio features for supervised classification tasks. The main contribution to feature generation studies is the notion of analytical features (AFs, a construct designed to support the representation of knowledge about audio signal processing. We describe the most important aspects of AFs, in particular their dimensional type system, on which are based pattern-based random generators, heuristics, and rewriting rules. We show how AFs generalize or improve previous approaches used in feature generation. We report on several projects using AFs for difficult audio classification tasks, demonstrating their advantage over standard audio features. More generally, we propose analytical features as a paradigm to bring raw signals into the world of symbolic computation.


    Directory of Open Access Journals (Sweden)

    Hongwei Ying


    Full Text Available An extreme point of scale space extraction method for binary multiscale and rotation invariant local feature descriptor is studied in this paper in order to obtain a robust and fast method for local image feature descriptor. Classic local feature description algorithms often select neighborhood information of feature points which are extremes of image scale space, obtained by constructing the image pyramid using certain signal transform method. But build the image pyramid always consumes a large amount of computing and storage resources, is not conducive to the actual applications development. This paper presents a dual multiscale FAST algorithm, it does not need to build the image pyramid, but can extract feature points of scale extreme quickly. Feature points extracted by proposed method have the characteristic of multiscale and rotation Invariant and are fit to construct the local feature descriptor.

  13. Los Alamos National Laboratory Science Education Program. Annual progress report, October 1, 1995--September 30, 1996

    Energy Technology Data Exchange (ETDEWEB)

    Gill, D.H.


    The National Teacher Enhancement program (NTEP) is a three-year, multi-laboratory effort funded by the National Science Foundation and the Department of Energy to improve elementary school science programs. The Los Alamos National Laboratory targets teachers in northern New Mexico. FY96, the third year of the program, involved 11 teams of elementary school teachers (grades 4-6) in a three-week summer session, four two-day workshops during the school year and an on-going planning and implementation process. The teams included twenty-one teachers from 11 schools. Participants earned a possible six semester hours of graduate credit for the summer institute and two hours for the academic year workshops from the University of New Mexico. The Laboratory expertise in the earth and environmental science provided the tie between the Laboratory initiatives and program content, and allowed for the design of real world problems.

  14. JWST NIRCam WFSS Ice Feature Spectroscopy in Nearby Molecular Cores (United States)

    Chu, Laurie; Hodapp, Klaus W.; Rieke, Marcia J.; Meyer, Michael; Greene, Thomas P.; JWST NIRCam Science Team


    In molecular clouds above a few magnitudes of total visual extinction, some components of the molecular gas freeze out on the surfaces of dust grains. These ice mantles around dust grains are the site of complex surface chemistry that leads to the formation of simple organic molecules in these mantles. The icy surfaces also facilitate the coaggulation of the dust particles, setting the stage for grain growth and ultimately the formation of planetary bodies.As part of the JWST NIRCam GTO program, we plan to observe a selection of small molecular cores using the wide field grism spectroscopy mode of NIRCam.This poster presents the results of a preliminary study of several candidate molecular cores using UKIRT, Spitzer IRAC, IRTF SpeX, Keck MOSFIRE and Subaru MOIRCS data.After the prelimary studies we have selected three molecular cores in different evolutionary stages for the GTO program: B68, a quiescent molecular core, LDN 694-2, a collapsing pre-stellar core, and B335, a protostellar core. All these cores are seen against a dense background of stars in the inner Galaxy and offer the opportunity for spatially well resolved mapping of the ice feature distribution. We will obtain slitless grism spectroscopy in six filters covering the features of H2O, CO2, CO, CH3OH, and the XCN feature. Simulations using aXeSIM have shown that spectrum overlap will occur in a fraction of the spectra, but will not be a prohibitive problem.Our poster will discuss the details of observations planned out in the APT system.

  15. 77 FR 19267 - Notice of Submission for OMB Review; Institute of Education Sciences; Study of Promising Features... (United States)


    ... pair of teachers in the same school and grade level, one of whom will have experienced the type of... states for the study, selecting the specific features related to clinical practice (i.e., the ``program... Notice of Submission for OMB Review; Institute of Education Sciences; Study of Promising Features of...

  16. Topics in Semantics-based Program Manipulation

    DEFF Research Database (Denmark)

    Grobauer, Bernt

    Programming is at least as much about manipulating existing code as it is about writing new code. Existing code is modified, for example to make inefficient code run faster, or to accommodate for new features when reusing code; existing code is analyzed, for example to verify certain program prop...

  17. Assessing Quality in Home Visiting Programs (United States)

    Korfmacher, Jon; Laszewski, Audrey; Sparr, Mariel; Hammel, Jennifer


    Defining quality and designing a quality assessment measure for home visitation programs is a complex and multifaceted undertaking. This article summarizes the process used to create the Home Visitation Program Quality Rating Tool (HVPQRT) and identifies next steps for its development. The HVPQRT measures both structural and dynamic features of…

  18. Program Complex For Cyclotron Beam Dynamic Simulations

    CERN Document Server

    Glazov, A A; Karamysheva, G A; Lisenkova, O E


    The program complex in MATLAB intended for particle dynamic simulations is described. Programming in an easy-to-use environment permits creation of models in a short space of time. Advanced graphical tools of MATLAB give good visualization features to created models. The beam dynamic modelling results by the example of two different cyclotron designs are presented.

  19. Towards a Unified Programming Language

    DEFF Research Database (Denmark)

    Madsen, Ole Lehrmann


    The goal of research in programming languages should be to develop languages that integrates the best of concepts and constructs from the various programming paradigms. We do not argue for a multi-paradigm language, where the programmer alternates between the different paradigms/styles. Instead, we...... style and where more research is needed. In addition to traditional paradigms such as object-oriented-, imperative-functional- and logic programming, we also discuss concurrent programming and prototype-based programming. We discuss language features such as the BETA pattern construct, virtual...... find that the languages of the future should integrate the best available concepts and constructs in such a way that the programmer does not think of multiple paradigms when using a given language. In this paper, we describe to what extent the BETA language has been successful in obtaining a unified...

  20. Towards a Unified Programming Language

    DEFF Research Database (Denmark)

    Madsen, Ole Lehrmann


    The goal of research in programming languages should be to develop languages that integrates the best of concepts and constructs from the various programming paradigms. We do not argue for a multi-paradigm language, where the programmer alternates between the different paradigms/styles. Instead, we...... find that the languages of the future should integrate the best available concepts and constructs in such a way that the programmer does not think of multiple paradigms when using a given language. In this paper, we describe to what extent the BETA language has been successful in obtaining a unified...... style and where more research is needed. In addition to traditional paradigms such as object-oriented-, imperative-functional- and logic programming, we also discuss concurrent programming and prototype-based programming. We discuss language features such as the BETA pattern construct, virtual...

  1. Structure design of the Westinghouse superconducting magnet for the Large Coil Program

    Energy Technology Data Exchange (ETDEWEB)

    Domeisen, F.N.; Hackworth, D.T.; Stuebinger, L.R.


    In the on-going development of superconducting toroidal field coils for tokamak reactors, the Large Coil Program (LCP) managed by Union Carbide Corporation will include the design, fabrication, and testing of large superconducting coils to determine their feasibility for use in the magnetic fusion energy effort. Structural analysis of the large coil is essential to ensure adequate safety in the test coil design and confidence in the scalability of the design. This paper will discuss the action of tensile and shear loads on the various materials used in the coil. These loads are of magnetic and thermal origin.

  2. Computer Programs. (United States)

    Anderson, Tiffoni

    This module provides information on development and use of a Material Safety Data Sheet (MSDS) software program that seeks to link literacy skills education, safety training, and human-centered design. Section 1 discusses the development of the software program that helps workers understand the MSDSs that accompany the chemicals with which they…

  3. Topics in Semantics-based Program Manipulation

    DEFF Research Database (Denmark)

    Grobauer, Bernt

    Programming is at least as much about manipulating existing code as it is about writing new code. Existing code is modified, for example to make inefficient code run faster, or to accommodate for new features when reusing code; existing code is analyzed, for example to verify certain program...... properties, or to use the analysis information for code modifications. Semanticsbased program manipulation addresses methods for program modifications and program analyses that are formally defined and therefore can be verified with respect to the programming-language semantics. This dissertation comprises...... four articles in the field of semantics-based techniques for program manipulation: three articles are about partial evaluation, a method for program specialization; the fourth article treats an approach to automatic cost analysis. Partial evaluation optimizes programs by specializing them with respect...

  4. 20170228 - Identify and Translate Learnings from On-Going ... (United States)

    Presentation for FDA-CFSAN ILSI workshop on State of the Science on Alternatives to Animal Testing and Integration of Testing Strategies for Food Safety Assessments Presentation for FDA-CFSAN ILSI workshop on State of the Science on Alternatives to Animal Testing and Integration of Testing Strategies for Food Safety Assessments

  5. Identify and Translate Learnings from On-Going Assay ... (United States)

    Presentation for FDA-CFSAN ILSI workshop on State of the Science on Alternatives to Animal Testing and Integration of Testing Strategies for Food Safety Assessments Presentation for FDA-CFSAN ILSI workshop on State of the Science on Alternatives to Animal Testing and Integration of Testing Strategies for Food Safety Assessments

  6. The On-Going Role-Play in Suggestopedia. (United States)

    Mateva, Galya


    Defines continuous role playing in foreign language teaching suggestopedia (as practiced in Bulgaria); discusses how to achieve and sustain it; and considers its advantages, disadvantages and relevance. The article notes that the balancing role of the teacher is crucial to the techniques employed in the classroom dialogs. (10 references) (CK)

  7. An On-Going Journey: Technology as a Learning Workbench


    Collis, Betty; Moonen, J.C.M.M.


    Reflection document by Prof. dr. B.A. Collis and Prof. dr. J.C.M.M. Moonen on the occasion of their retirement as professors in the Faculty of Behavioral Sciences of the University of Twente on Thursday 15 September 2005

  8. Encoding Cortical Dynamics in Sparse Features

    Directory of Open Access Journals (Sweden)

    Sheraz eKhan


    Full Text Available Distributed cortical solutions of magnetoencephalography (MEG and electroencephalography (EEG exhibit complex spatial and temporal dynamics. The extraction of patterns of interest and dynamic features from these cortical signals has so far relied on the expertise of investigators. There is a definite need in both clinical and neuroscience research for a method that will extract critical features from high-dimensional neuroimaging data in an automatic fashion. We have previously demonstrated the use of optical flow techniques for evaluating the kinematic properties of motion field projected on non-flat manifolds like in a cortical surface. We have further extended this framework to automatically detect features in the optical flow vector field by using the modified and extended 2-Riemannian Helmholtz Hodge Decomposition (HHD. Here, we applied these mathematical models on simulation and MEG data recorded from a healthy individual during a somatosensory experiment and an epilepsy pediatric patient during sleep. We tested whether our technique can automatically extract salient dynamical features of cortical activity. Simulation results indicated that we can precisely reproduce the simulated cortical dynamics with HHD; encode them in sparse features and represent the propagation of brain activity between distinct cortical areas. Using HHD, we decoded the somatosensory N20 component into two HHD features and represented the dynamics of brain activity as a traveling source between two primary somatosensory regions. In the epilepsy patient, we displayed the propagation of the epileptiform activity around the margins of a brain lesion. Our findings indicate that HHD measures computed from cortical dynamics can: (i quantitatively access the cortical dynamics in both healthy and disease brain in terms of sparse features and dynamic brain activity propagation between distinct cortical areas, and (ii facilitate a reproducible, automated analysis of MEG

  9. Geochemistry in the modern soil survey program. (United States)

    Wilson, M A; Burt, R; Indorante, S J; Jenkins, A B; Chiaretti, J V; Ulmer, M G; Scheyer, J M


    Elemental analysis has played an important role in the characterization of soils since inception of the soil survey in the US. Recent efforts in analysis of trace and major elements (geochemistry) have provided necessary data to soil survey users in a variety of areas. The first part of this paper provides a brief overview of elemental sources, forms, mobility, and bioavailability; critical aspects important to users of soil survey geochemical data for appropriate use and interpretations. Examples are provided based on data gathered as part of the US soil survey program. The second part addresses the organization of sample collection in soil survey and how soil surveys are ideally suited as a sampling strategy for soil geochemical studies. Geochemistry is functional in characterization of soil types, determining soil processes, ecological evaluation, or issues related to soil quality and health, such as evaluating suitability of soils for urban or agricultural land use. Applications of geochemistry are on-going across the US and are documented herein. This analytical direction of soil survey complements historic efforts of the National Cooperative Soil Survey Program and addresses the increasing need of soil survey users for data that assists in understanding the influence of human activities on soil properties.

  10. Pulmonary CT image classification with evolutionary programming. (United States)

    Madsen, M T; Uppaluri, R; Hoffman, E A; McLennan, G


    It is often difficult to classify information in medical images from derived features. The purpose of this research was to investigate the use of evolutionary programming as a tool for selecting important features and generating algorithms to classify computed tomographic (CT) images of the lung. Training and test sets consisting of 11 features derived from multiple lung CT images were generated, along with an indicator of the target area from which features originated. The images included five parameters based on histogram analysis, 11 parameters based on run length and co-occurrence matrix measures, and the fractal dimension. Two classification experiments were performed. In the first, the classification task was to distinguish between the subtle but known differences between anterior and posterior portions of transverse lung CT sections. The second classification task was to distinguish normal lung CT images from emphysematous images. The performance of the evolutionary programming approach was compared with that of three statistical classifiers that used the same training and test sets. Evolutionary programming produced solutions that compared favorably with those of the statistical classifiers. In separating the anterior from the posterior lung sections, the evolutionary programming results were better than two of the three statistical approaches. The evolutionary programming approach correctly identified all the normal and abnormal lung images and accomplished this by using less features than the best statistical method. The results of this study demonstrate the utility of evolutionary programming as a tool for developing classification algorithms.

  11. An introduction to programming with specifications

    CERN Document Server


    A feature of modern advanced computing is the functional approach to programming. In this book, the authors present an introduction to the mathematics which underline functional programming, emphasizing the understanding of definition and specification--a prerequisite of good programming and problem solving with a computer. The book is self-contained, requiring a low level of mathematical sophistication and may be used as an introduction to the mathematics of programming.Provides an introduction to the functional approach to programming**Emphasizes the problem to be solved, not the pro

  12. Improving Naive Bayes with Online Feature Selection for Quick Adaptation to Evolving Feature Usefulness

    Energy Technology Data Exchange (ETDEWEB)

    Pon, R K; Cardenas, A F; Buttler, D J


    The definition of what makes an article interesting varies from user to user and continually evolves even for a single user. As a result, for news recommendation systems, useless document features can not be determined a priori and all features are usually considered for interestingness classification. Consequently, the presence of currently useless features degrades classification performance [1], particularly over the initial set of news articles being classified. The initial set of document is critical for a user when considering which particular news recommendation system to adopt. To address these problems, we introduce an improved version of the naive Bayes classifier with online feature selection. We use correlation to determine the utility of each feature and take advantage of the conditional independence assumption used by naive Bayes for online feature selection and classification. The augmented naive Bayes classifier performs 28% better than the traditional naive Bayes classifier in recommending news articles from the Yahoo! RSS feeds.

  13. Feature representation of RGB-D images using joint spatial-depth feature pooling

    DEFF Research Database (Denmark)

    Pan, Hong; Olsen, Søren Ingvor; Zhu, Yaping


    Recent development in depth imaging technology makes acquisition of depth information easier. With the additional depth cue, RGB-D cameras can provide effective support for many RGB-D perception tasks beyond traditional RGB information. However, current feature representation based on RGB-D images...... utilizes depth information only to extract local features, without considering it to improve robustness and discriminability of the feature representation by merging depth cues into feature pooling. Spatial pyramid model (SPM) has become the standard protocol to split a 2D image plane into sub......-regions for feature pooling of RGB-D images. We argue that SPM may not be the optimal pooling scheme for RGB-D images, as it only pools features spatially and completely discards their depth topological structures. Instead, we propose a novel joint spatial-depth pooling (JSDP) scheme which further partitions SPM...

  14. Calcein+/PI- as an early apoptotic feature in Leishmania. (United States)

    Basmaciyan, Louise; Azas, Nadine; Casanova, Magali


    Although leishmaniases are responsible for high morbidity and mortality all over the world, no really satisfying treatment exists. Furthermore, the corresponding parasite Leishmania undergoes a very characteristic form of programmed cell death. Indeed, different stimuli can induce morphological and biochemical apoptotic-like features. However, the key proteins involved in mammal apoptosis, such as caspases and death receptors, are not encoded in the genome of this parasite. Currently, little is known about Leishmania apoptosis, notably owing to the lack of specific tools for programmed cell death analysis in these parasites. Furthermore, there is a need for a better understanding of Leishmania programmed cell death in order (i) to better understand the role of apoptosis in unicellular organisms, (ii) to better understand apoptosis in general through the study of an ancestral eukaryote, and (iii) to identify new therapeutic targets against leishmaniases. To advance understanding of apoptosis in Leishmania, in this study we developed a new tool based on the quantification of calcein and propidium iodide by flow cytometry. This double labeling can be employed to distinguish early apoptosis, late apoptosis and necrosis in Leishmania live cells with a very simple and rapid assay. This paper should, therefore, be of interest for people working on Leishmania and related parasites.

  15. Genetic epidemiology, hematological and clinical features of hemoglobinopathies in Iran. (United States)

    Rahimi, Zohreh


    There is large variation in the molecular genetics and clinical features of hemoglobinopathies in Iran. Studying structural variants of hemoglobin demonstrated that the β-chain variants of hemoglobin S and D-Punjab are more prevalent in the Fars (southwestern Iran) and Kermanshah (western Iran) provinces, respectively. Also, α-chain variants of Hb Q-Iran and Hb Setif are prevalent in western Iran. The molecular basis and clinical severity of thalassemias are extremely heterogenous among Iranians due to the presence of multiethnic groups in the country. β-Thalassemia is more prevalent in northern and southern Iran. Among 52 different β-thalassemia mutations that have been identified among Iranian populations, IVSII-1 G:A is the most frequent mutation in most parts of the country. The presence of IVS I-5 G:C mutation with high frequency in southeastern Iran might reflect gene flow from neighboring countries. A wide spectrum of α-thalassemia alleles has been detected among Iranians with -α(3.7 kb) as the most prevalent α-thalassemia mutation. The prevention program of thalassemia birth in Iran has reduced the birth rate of homozygous β-thalassemia since the implementation of the program in 1997. In this review genetic epidemiology, clinical and hematological aspects of hemoglobinopathies, and the prevention programs of β-thalassemia in Iran will be discussed.

  16. Genetic Epidemiology, Hematological and Clinical Features of Hemoglobinopathies in Iran (United States)

    Rahimi, Zohreh


    There is large variation in the molecular genetics and clinical features of hemoglobinopathies in Iran. Studying structural variants of hemoglobin demonstrated that the β-chain variants of hemoglobin S and D-Punjab are more prevalent in the Fars (southwestern Iran) and Kermanshah (western Iran) provinces, respectively. Also, α-chain variants of Hb Q-Iran and Hb Setif are prevalent in western Iran. The molecular basis and clinical severity of thalassemias are extremely heterogenous among Iranians due to the presence of multiethnic groups in the country. β-Thalassemia is more prevalent in northern and southern Iran. Among 52 different β-thalassemia mutations that have been identified among Iranian populations, IVSII-1 G:A is the most frequent mutation in most parts of the country. The presence of IVS I-5 G:C mutation with high frequency in southeastern Iran might reflect gene flow from neighboring countries. A wide spectrum of α-thalassemia alleles has been detected among Iranians with −α 3.7 kb as the most prevalent α-thalassemia mutation. The prevention program of thalassemia birth in Iran has reduced the birth rate of homozygous β-thalassemia since the implementation of the program in 1997. In this review genetic epidemiology, clinical and hematological aspects of hemoglobinopathies, and the prevention programs of β-thalassemia in Iran will be discussed. PMID:23853772

  17. Programming Python

    CERN Document Server

    Lutz, Mark


    If you've mastered Python's fundamentals, you're ready to start using it to get real work done. Programming Python will show you how, with in-depth tutorials on the language's primary application domains: system administration, GUIs, and the Web. You'll also explore how Python is used in databases, networking, front-end scripting layers, text processing, and more. This book focuses on commonly used tools and libraries to give you a comprehensive understanding of Python's many roles in practical, real-world programming. You'll learn language syntax and programming techniques in a clear and co

  18. Handwriting: Feature Correlation Analysis for Biometric Hashes

    Directory of Open Access Journals (Sweden)

    Ralf Steinmetz


    Full Text Available In the application domain of electronic commerce, biometric authentication can provide one possible solution for the key management problem. Besides server-based approaches, methods of deriving digital keys directly from biometric measures appear to be advantageous. In this paper, we analyze one of our recently published specific algorithms of this category based on behavioral biometrics of handwriting, the biometric hash. Our interest is to investigate to which degree each of the underlying feature parameters contributes to the overall intrapersonal stability and interpersonal value space. We will briefly discuss related work in feature evaluation and introduce a new methodology based on three components: the intrapersonal scatter (deviation, the interpersonal entropy, and the correlation between both measures. Evaluation of the technique is presented based on two data sets of different size. The method presented will allow determination of effects of parameterization of the biometric system, estimation of value space boundaries, and comparison with other feature selection approaches.

  19. Including product features in process redesign

    DEFF Research Database (Denmark)

    Hvam, Lars; Hauksdóttir, Dagný; Mortensen, Niels Henrik


    This article suggests a visual modelling method for integrating models of product features with business process models for redesigning the business processes involving specifications of customer-tailored products and services. The current methods for redesigning these types of business processes...... do not take into account how the product features are applied throughout the process, which makes it difficult to obtain a comprehensive understanding of the activities in the processes and to generate significant improvements. The suggested approach models the product family using the so......-called product variant master and the business process modelling notation for modelling the process flow. The product model is combined with the process map by identifying features used in each step of the process flow. Additionally, based on the information absorbed from the integrated model, the value stream...

  20. Features of the Manufacturing Vision Development Process

    DEFF Research Database (Denmark)

    Dukovska-Popovska, Iskra; Riis, Jens Ove; Boer, Harry


    This paper discusses the key features of the process of Manufacturing Vision Development, a process that enables companies to develop their future manufacturing concept. The basis for the process is a generic five-phase methodology (Riis and Johansen, 2003) developed as a result of ten years...... of action research. The methodology recommends wide participation of people from different hierarchical and functional positions, who engage in a relatively short, playful and creative process and come up with a vision (concept) for the future manufacturing system in the company. Based on three case studies...... of companies going through the initial phases of the methodology, this research identified the key features of the Manufacturing Vision Development process. The paper elaborates the key features by defining them, discussing how and when they can appear, and how they influence the process....

  1. REEF: searching REgionally Enriched Features in genomes

    Directory of Open Access Journals (Sweden)

    Danieli Gian Antonio


    Full Text Available Abstract Background In Eukaryotic genomes, different features including genes are not uniformly distributed. The integration of annotation information and genomic position of functional DNA elements in the Eukaryotic genomes opened the way to test novel hypotheses of higher order genome organization and regulation of expression. Results REEF is a new tool, aimed at identifying genomic regions enriched in specific features, such as a class or group of genes homogeneous for expression and/or functional characteristics. The method for the calculation of local feature enrichment uses test statistic based on the Hypergeometric Distribution applied genome-wide by using a sliding window approach and adopting the False Discovery Rate for controlling multiplicity. REEF software, source code and documentation are freely available at Conclusion REEF can aid to shed light on the role of organization of specific genomic regions in the determination of their functional role.

  2. Feature-aware natural texture synthesis

    KAUST Repository

    Wu, Fuzhang


    This article presents a framework for natural texture synthesis and processing. This framework is motivated by the observation that given examples captured in natural scene, texture synthesis addresses a critical problem, namely, that synthesis quality can be affected adversely if the texture elements in an example display spatially varied patterns, such as perspective distortion, the composition of different sub-textures, and variations in global color pattern as a result of complex illumination. This issue is common in natural textures and is a fundamental challenge for previously developed methods. Thus, we address it from a feature point of view and propose a feature-aware approach to synthesize natural textures. The synthesis process is guided by a feature map that represents the visual characteristics of the input texture. Moreover, we present a novel adaptive initialization algorithm that can effectively avoid the repeat and verbatim copying artifacts. Our approach improves texture synthesis in many images that cannot be handled effectively with traditional technologies.

  3. A hysteresis model considering microstructural feature distribution (United States)

    Liu, Jun; Davis, Claire


    A modified Preisach model with the Preisach function formulated based on microstructural feature distribution and probability theory, has been developed to model the major/minor loops of ferromagnetic steels. Ferrite grains and precipitates within the grains have been selected as the two independent microstructural features to demonstrate the model. The distribution of grain size, precipitate size and inter-particle spacing are introduced to formulate the Preisach function. Close fits between the modelled and measured major loops have been achieved for two ex-service power plant steels, which have ferritic microstructures containing carbide particles, for a preliminary validation of the model. The model has proved capable of modelling both major and minor loops considering microstructural feature distributions.

  4. Statistics over features: EEG signals analysis. (United States)

    Derya Ubeyli, Elif


    This paper presented the usage of statistics over the set of the features representing the electroencephalogram (EEG) signals. Since classification is more accurate when the pattern is simplified through representation by important features, feature extraction and selection play an important role in classifying systems such as neural networks. Multilayer perceptron neural network (MLPNN) architectures were formulated and used as basis for detection of electroencephalographic changes. Three types of EEG signals (EEG signals recorded from healthy volunteers with eyes open, epilepsy patients in the epileptogenic zone during a seizure-free interval, and epilepsy patients during epileptic seizures) were classified. The selected Lyapunov exponents, wavelet coefficients and the power levels of power spectral density (PSD) values obtained by eigenvector methods of the EEG signals were used as inputs of the MLPNN trained with Levenberg-Marquardt algorithm. The classification results confirmed that the proposed MLPNN has potential in detecting the electroencephalographic changes.

  5. Music genre classification using temporal domain features (United States)

    Shiu, Yu; Kuo, C.-C. Jay


    Music genre provides an efficient way to index songs in the music database, and can be used as an effective means to retrieval music of a similar type, i.e. content-based music retrieval. In addition to other features, the temporal domain features of a music signal are exploited so as to increase the classification rate in this research. Three temporal techniques are examined in depth. First, the hidden Markov model (HMM) is used to emulate the time-varying properties of music signals. Second, to further increase the classification rate, we propose another feature set that focuses on the residual part of music signals. Third, the overall classification rate is enhanced by classifying smaller segments from a test material individually and making decision via majority voting. Experimental results are given to demonstrate the performance of the proposed techniques.

  6. Supervised feature learning for curvilinear structure segmentation. (United States)

    Becker, Carlos; Rigamonti, Roberto; Lepetit, Vincent; Fua, Pascal


    We present a novel, fully-discriminative method for curvilinear structure segmentation that simultaneously learns a classifier and the features it relies on. Our approach requires almost no parameter tuning and, in the case of 2D images, removes the requirement for hand-designed features, thus freeing the practitioner from the time-consuming tasks of parameter and feature selection. Our approach relies on the Gradient Boosting framework to learn discriminative convolutional filters in closed form at each stage, and can operate on raw image pixels as well as additional data sources, such as the output of other methods like the Optimally Oriented Flux. We will show that it outperforms state-of-the-art curvilinear segmentation methods on both 2D images and 3D image stacks.

  7. A Collection of Features for Semantic Graphs

    Energy Technology Data Exchange (ETDEWEB)

    Eliassi-Rad, T; Fodor, I K; Gallagher, B


    Semantic graphs are commonly used to represent data from one or more data sources. Such graphs extend traditional graphs by imposing types on both nodes and links. This type information defines permissible links among specified nodes and can be represented as a graph commonly referred to as an ontology or schema graph. Figure 1 depicts an ontology graph for data from National Association of Securities Dealers. Each node type and link type may also have a list of attributes. To capture the increased complexity of semantic graphs, concepts derived for standard graphs have to be extended. This document explains briefly features commonly used to characterize graphs, and their extensions to semantic graphs. This document is divided into two sections. Section 2 contains the feature descriptions for static graphs. Section 3 extends the features for semantic graphs that vary over time.

  8. Feature Selection via Chaotic Antlion Optimization. (United States)

    Zawbaa, Hossam M; Emary, E; Grosan, Crina


    Selecting a subset of relevant properties from a large set of features that describe a dataset is a challenging machine learning task. In biology, for instance, the advances in the available technologies enable the generation of a very large number of biomarkers that describe the data. Choosing the more informative markers along with performing a high-accuracy classification over the data can be a daunting task, particularly if the data are high dimensional. An often adopted approach is to formulate the feature selection problem as a biobjective optimization problem, with the aim of maximizing the performance of the data analysis model (the quality of the data training fitting) while minimizing the number of features used. We propose an optimization approach for the feature selection problem that considers a "chaotic" version of the antlion optimizer method, a nature-inspired algorithm that mimics the hunting mechanism of antlions in nature. The balance between exploration of the search space and exploitation of the best solutions is a challenge in multi-objective optimization. The exploration/exploitation rate is controlled by the parameter I that limits the random walk range of the ants/prey. This variable is increased iteratively in a quasi-linear manner to decrease the exploration rate as the optimization progresses. The quasi-linear decrease in the variable I may lead to immature convergence in some cases and trapping in local minima in other cases. The chaotic system proposed here attempts to improve the tradeoff between exploration and exploitation. The methodology is evaluated using different chaotic maps on a number of feature selection datasets. To ensure generality, we used ten biological datasets, but we also used other types of data from various sources. The results are compared with the particle swarm optimizer and with genetic algorithm variants for feature selection using a set of quality metrics.

  9. Feature Selection via Chaotic Antlion Optimization.

    Directory of Open Access Journals (Sweden)

    Hossam M Zawbaa

    Full Text Available Selecting a subset of relevant properties from a large set of features that describe a dataset is a challenging machine learning task. In biology, for instance, the advances in the available technologies enable the generation of a very large number of biomarkers that describe the data. Choosing the more informative markers along with performing a high-accuracy classification over the data can be a daunting task, particularly if the data are high dimensional. An often adopted approach is to formulate the feature selection problem as a biobjective optimization problem, with the aim of maximizing the performance of the data analysis model (the quality of the data training fitting while minimizing the number of features used.We propose an optimization approach for the feature selection problem that considers a "chaotic" version of the antlion optimizer method, a nature-inspired algorithm that mimics the hunting mechanism of antlions in nature. The balance between exploration of the search space and exploitation of the best solutions is a challenge in multi-objective optimization. The exploration/exploitation rate is controlled by the parameter I that limits the random walk range of the ants/prey. This variable is increased iteratively in a quasi-linear manner to decrease the exploration rate as the optimization progresses. The quasi-linear decrease in the variable I may lead to immature convergence in some cases and trapping in local minima in other cases. The chaotic system proposed here attempts to improve the tradeoff between exploration and exploitation. The methodology is evaluated using different chaotic maps on a number of feature selection datasets. To ensure generality, we used ten biological datasets, but we also used other types of data from various sources. The results are compared with the particle swarm optimizer and with genetic algorithm variants for feature selection using a set of quality metrics.


    Directory of Open Access Journals (Sweden)

    Dejan Tomaževič


    Full Text Available Nowadays, information-theoretic similarity measures, especially the mutual information and its derivatives, are one of the most frequently used measures of global intensity feature correspondence in image registration. Because the traditional mutual information similarity measure ignores the dependency of intensity values of neighboring image elements, registration based on mutual information is not robust in cases of low global intensity correspondence. Robustness can be improved by adding spatial information in the form of local intensity changes to the global intensity correspondence. This paper presents a novel method, by which intensities, together with spatial information, i.e., relations between neighboring image elements in the form of intensity gradients, are included in information-theoretic similarity measures. In contrast to a number of heuristic methods that include additional features into the generic mutual information measure, the proposed method strictly follows information theory under certain assumptions on feature probability distribution. The novel approach solves the problem of efficient estimation of multifeature mutual information from sparse high-dimensional feature space. The proposed measure was tested on magnetic resonance (MR and computed tomography (CT images. In addition, the measure was tested on positron emission tomography (PET and MR images from the widely used Retrospective Image Registration Evaluation project image database. The results indicate that multi-feature mutual information, which combines image intensities and intensity gradients, is more robust than the standard single-feature intensity based mutual information, especially in cases of low global intensity correspondences, such as in PET/MR images or significant intensity inhomogeneity.

  11. Visual Features in the Perception of Liquids. (United States)

    van Assen, Jan Jaap R; Barla, Pascal; Fleming, Roland W


    Perceptual constancy-identifying surfaces and objects across large image changes-remains an important challenge for visual neuroscience [1-8]. Liquids are particularly challenging because they respond to external forces in complex, highly variable ways, presenting an enormous range of images to the visual system. To achieve constancy, the brain must perform a causal inference [9-11] that disentangles the liquid's viscosity from external factors-like gravity and object interactions-that also affect the liquid's behavior. Here, we tested whether the visual system estimates viscosity using "midlevel" features [12-14] that respond more to viscosity than other factors. Observers reported the perceived viscosity of simulated liquids ranging from water to molten glass exhibiting diverse behaviors (e.g., pouring, stirring). A separate group of observers rated the same animations for 20 midlevel 3D shape and motion features. Applying factor analysis to the feature ratings reveals that a weighted combination of four underlying factors (distribution, irregularity, rectilinearity, and dynamics) predicted perceived viscosity very well across this wide range of contexts (R2 = 0.93). Interestingly, observers unknowingly ordered their midlevel judgments according to the one common factor across contexts: variation in viscosity. Principal component analysis reveals that across the features, the first component lines up almost perfectly with the viscosity (R2 = 0.96). Our findings demonstrate that the visual system achieves constancy by representing stimuli in a multidimensional feature space-based on complementary, midlevel features-which successfully cluster very different stimuli together and tease similar stimuli apart, so that viscosity can be read out easily. Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

  12. Elastographic features of triple negative breast cancers. (United States)

    Džoić Dominković, Martina; Ivanac, Gordana; Kelava, Tomislav; Brkljačić, Boris


    To evaluate shear-wave elastographic (SWE) features of triple negative breast cancers (TNBC) and determine useful discriminators from other types of invasive breast cancers. SWE features of 26 TNBC were reviewed and compared to 32 non-TNBC. Qualitative SWE features of lesion colour appearance, shape and homogeneity were analysed. Quantitative features were measured: mean (El mean), maximum (El max) and minimum (El min) elasticity value of the stiffest portion of the mass, mean elasticity of the surrounding tissue (El mean surr) and lesion to fat elasticity ratio (E ratio). TNBC are more often regularly shaped (57.7 % vs. 6.2 %), while non-TNBC are more commonly red (93.7 % vs 42.3 %) and heterogeneous (68.7 % vs 42.3 %). The stiffness of TNBC is significantly lower compared to non-TNBC. The two groups could be distinguished on the basis of El max (p = 0.001), El mean (p = 0.001), El min (p = 0.001) and E ratio (p = 0.0017). Lesion to fat elasticity ratio in TNBC group was statistically significantly lower than in the non-TNBC control group (p = 0.009). TNBC often demonstrate benign morphological features, are softer on SWE and have a lower lesion to fat stiffness ratio compared to the other, more common types of invasive breast cancers. • TNBC often demonstrate benign morphological features on SWE. • TNBC present on elastography mostly as red, regularly shaped, heterogeneous lesions. • TNBC are less stiff compared to other invasive breast cancers. • TNBC have lower lesion to fat stiffness ratio than other breast cancers.

  13. Endoscopic ultrasound features of chronic pancreatitis

    DEFF Research Database (Denmark)

    Rana, Surinder Singh; Vilmann, Peter


    of this fact and abundant literature, the exact role of EUS in the diagnosis of chronic pancreatitis (CP) is still not established. The EUS features to diagnose CP have evolved over a period from a pure qualitative approach to more advanced and complicated scoring systems incorporating multiple parenchymal...... and ductal EUS features. The rosemont criteria have attempted to define precisely each EUS criterion and thus have good inter-observer agreement. However, initial studies have failed to demonstrate any significant improvement in the inter-observer variability and further validation studies are needed...

  14. A performance evaluation of point pair features

    DEFF Research Database (Denmark)

    Kiforenko, Lilita; Drost, Bertram; Tombari, Federico


    of relations between two points). Our comparison is made on 7 publicly available datasets, showing variations on a number of parameters, e.g. acquisition technique, the number of objects/scenes and the amount of occlusion and clutter. We evaluate feature performance both at a point-wise object...... datasets. However, to the best of our knowledge, no comprehensive evaluation of these features has been made. In this work, we evaluate PPFs on a large set of 3D scenes. We not only compare PPFs to local point cloud descriptors, but also investigate the internal variations of PPFs (different types...

  15. Extraction of Facial Features from Color Images

    Directory of Open Access Journals (Sweden)

    J. Pavlovicova


    Full Text Available In this paper, a method for localization and extraction of faces and characteristic facial features such as eyes, mouth and face boundaries from color image data is proposed. This approach exploits color properties of human skin to localize image regions – face candidates. The facial features extraction is performed only on preselected face-candidate regions. Likewise, for eyes and mouth localization color information and local contrast around eyes are used. The ellipse of face boundary is determined using gradient image and Hough transform. Algorithm was tested on image database Feret.


    Directory of Open Access Journals (Sweden)

    Geanina S. BANU


    Full Text Available Defining and classifying innovation represents a complex approach both theoretical and practical. While comprising various views, the innovation concept is permanently redefined according to various criteria. Nevertheless, approaching innovation generic features should be always considered as defining the core of innovation as a concept. The aim of the present paper is to perform a literature review identifying the essential features of innovation with the aim of providing a comprehensive and holistic view of the concept. Furthermore, the present article aims at delivering a theoretical guide on innovation. To this end, the review comprises definition of concept, classification, risk factors, innovation systems and measuring indicators.

  17. ROCS-derived features for virtual screening. (United States)

    Kearnes, Steven; Pande, Vijay


    Rapid overlay of chemical structures (ROCS) is a standard tool for the calculation of 3D shape and chemical ("color") similarity. ROCS uses unweighted sums to combine many aspects of similarity, yielding parameter-free models for virtual screening. In this report, we decompose the ROCS color force field into color components and color atom overlaps, novel color similarity features that can be weighted in a system-specific manner by machine learning algorithms. In cross-validation experiments, these additional features significantly improve virtual screening performance relative to standard ROCS.


    Directory of Open Access Journals (Sweden)

    Aleksandrova, I.B.


    Full Text Available The article is devoted to the categorical features of modern media language. It is interactive, dialogical (dialogizated and potentially hypertextual, and has a stylistic diversity. Contemporary journalists’ speech, depending on the social orientation of the publication, differs in its cultural and linguistic features. It has some special characteristics such as polyphony, polycodeness, visualization. Media speech is anthropocentric, reflects the author's worldview, interpretation of events and phenomena, it is directed not to average citizen, but to representatives at least of a particular stratum, the individual. Modern discourse is narrative: a journalist creates his own picture of the world, tells his story about life, which reflects his cognitive, axiological, creative preferences.

  19. Several Key Features of Marriage in Kosovo


    Dr.Sc. Hamdi Podvorica


    In this paper titled “Several key features of marriage in Kosovo”, I have made efforts to address the matrimony, as an important societal and legal concept, in the light of positive law in Kosovo. In short terms, I have addressed the historical development of marriage in general, from the period of promiscuity until today, and I have emphasized key features of marriage in various time periods, only to comprehend better the ways of development of marriage in time and space. A special empha...

  20. Sertoliform cystadenoma: a case with overlapping features. (United States)

    Kacar, Ayper; Senel, Emrah; Caliskan, Dogus; Demirel, Fatma; Tiryaki, Tugrul


    The 1st pediatric case of sertoliform cystadenoma with unique features is described herein. The patient is a 6-year-old boy who presented with gynecomastia and a left testicular cystic mass. Histopathologically the tumor was found to originate from the rete channels, filling and distending them with areas of mural Sertoli cell proliferations reminiscent of large cell Sertoli cell tumor (noncalcifying form) and showing widespread intratubular Sertoli cell proliferation islands in the vicinity. Histopathologic and immunohistochemical features are described in light of the relevant literature.

  1. CT features of olivopontocerebellar atrophy in children

    Energy Technology Data Exchange (ETDEWEB)

    Kumar, S.D. [Sultan Qaboos Univ., Muscat (Oman). Dept. of Radiology; Chand, R.P. [Sultan Qaboos Univ., Muscat (Oman). Dept. of Medicine (Neurology); Gururaj, A.K. [Sultan Qaboos Univ., Muscat (Oman). Dept. of Child Health; Jeans, W.D. [Sultan Qaboos Univ., Muscat (Oman). Dept. of Radiology


    Between 1990 and 1992, 14 children were seen in whom a clinical diagnosis of olivopontocerebellar atrophy (OPCA) had been made. The majority of patients presented with cerebellar ataxia and hypotonia. Five children had a family history of a similar illness in first-degree relatives. All cases had undergone clinical and neurologic examinations, routine laboratory tests and cranial CT. CT features were graded to quantitative the degree of atrophy in each cerebellar hemisphere, vermis and brain stem. All patients had varying degrees of atrophic changes of cerebellum, brain stem and cerebrum. These CT features appear to be distinctive enough to enable the diagnosis of OPCA to be made. (orig.).

  2. Large datasets: Segmentation, feature extraction, and compression

    Energy Technology Data Exchange (ETDEWEB)

    Downing, D.J.; Fedorov, V.; Lawkins, W.F.; Morris, M.D.; Ostrouchov, G.


    Large data sets with more than several mission multivariate observations (tens of megabytes or gigabytes of stored information) are difficult or impossible to analyze with traditional software. The amount of output which must be scanned quickly dilutes the ability of the investigator to confidently identify all the meaningful patterns and trends which may be present. The purpose of this project is to develop both a theoretical foundation and a collection of tools for automated feature extraction that can be easily customized to specific applications. Cluster analysis techniques are applied as a final step in the feature extraction process, which helps make data surveying simple and effective.

  3. Ultrasonographic features of spontaneous breast tumor infarction. (United States)

    Oh, Hyeon Jeong; Kim, Sung Hun; Kang, Bong Joo; Lee, A Won; Song, Byung Joo; Kim, Hyen Sook; Cha, Eun Suk


    The aim of this paper is to evaluate the ultrasonographic features of spontaneous breast tumor infarction. The pathologic information system database of the Department of Radiology was retrospectively searched. Between 2009 and 2011, nine cases in eight patients were pathologically confirmed as spontaneous breast tumor infarctions. Mammographic images and the ultrasonographic images were acquired. Two other radiologists analyzed the mammographic and ultrasonographic findings. Most common features were oval, indistinct, heterogeneously hypoechoic mass with posterior enhancement. All lesions were classified as C4 (suspicious finding) except one case. Spontaneous breast tumor infarction should be included in the differential diagnoses of hetereogeneously hypoechoic suspicious solid lesions mimicking malignancy.


    Directory of Open Access Journals (Sweden)

    A. A. Vorobeva


    Full Text Available The paper deals with identification and authentication of web users participating in the Internet information processes (based on features of online texts.In digital forensics web user identification based on various linguistic features can be used to discover identity of individuals, criminals or terrorists using the Internet to commit cybercrimes. Internet could be used as a tool in different types of cybercrimes (fraud and identity theft, harassment and anonymous threats, terrorist or extremist statements, distribution of illegal content and information warfare. Linguistic identification of web users is a kind of biometric identification, it can be used to narrow down the suspects, identify a criminal and prosecute him. Feature set includes various linguistic and stylistic features extracted from online texts. We propose dynamic feature selection for each web user identification task. Selection is based on calculating Manhattan distance to k-nearest neighbors (Relief-f algorithm. This approach improves the identification accuracy and minimizes the number of features. Experiments were carried out on several datasets with different level of class imbalance. Experiment results showed that features relevance varies in different set of web users (probable authors of some text; features selection for each set of web users improves identification accuracy by 4% at the average that is approximately 1% higher than with the use of static set of features. The proposed approach is most effective for a small number of training samples (messages per user.

  5. Programming Python

    National Research Council Canada - National Science Library

    Lutz, Mark


    ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 3 3 8 9 15 17 20 22 2. A Sneak Preview "Programming Python: The Short Story" The Task Step 1: Representing Records Step 2: Storing Records Persistently Step 3...

  6. Linear programming

    CERN Document Server

    Solow, Daniel


    This text covers the basic theory and computation for a first course in linear programming, including substantial material on mathematical proof techniques and sophisticated computation methods. Includes Appendix on using Excel. 1984 edition.

  7. The Deep River Science Academy: a unique and innovative program for engaging students in science

    Energy Technology Data Exchange (ETDEWEB)

    Turner, C.W., E-mail: [Deep River Science Academy, Deep River, Ontario (Canada); Didsbury, R. [Atomic Energy of Canada Limited, Chalk River, Ontario (Canada); Ingram, M. [Deep River Science Academy, Deep River, Ontario (Canada)


    For 28 years, the Deep River Science Academy (DRSA) has been offering high school students the opportunity to engage in the excitement and challenge of professional scientific research to help nurture their passion for science and to provide them with the experience and the knowledge to make informed decisions regarding possible future careers in the fields of science, technology, engineering, and mathematics (STEM). The venue for the DRSA program has been a six-week summer science camp where students, working in pairs under the guidance of a university undergraduate tutor, contribute directly to an on-going research program under the supervision of a professional scientist or engineer. This concept has been expanded in recent years to reach students in classrooms year round by engaging students via the internet over a 12-week term in a series of interactive teaching sessions based on an on-going research project. Although the research projects for the summer program are offered primarily from the laboratories of Atomic Energy of Canada Limited at its Chalk River Laboratories site, projects for the year-round program can be based, in principle, in laboratories at universities and other research institutes located anywhere in Canada. This paper will describe the program in more detail using examples illustrating how the students become engaged in the research and the sorts of contributions they have been able to make over the years. The impact of the program on the students and the degree to which the DRSA has been able to meet its objective of encouraging students to choose careers in the fields of STEM and equipping them with the skills and experience to be successful will be assessed based on feedback from the students themselves. Finally, we will examine the program in the context of how well it helps to address the challenges faced by educators today in meeting the demands of students in a world where the internet provides instant access to information. (author)

  8. Mathematics Professional Development: Critical Features for Developing Leadership Skills and Building Teachers' Capacity (United States)

    Koellner, Karen; Jacobs, Jennifer; Borko, Hilda


    This article focuses on three features of professional development (PD) programs that play an important role in developing leadership skills and building teachers' capacity: (1) fostering a professional learning community, (2) developing teachers' mathematical knowledge for teaching, and (3) adapting PD to support local needs and interests. We…

  9. Dialogic and Hortatory Features in the Writing of Chinese Candidates for the IELTS Test (United States)

    Mayor, Barbara M.


    Research conducted in the context of the IELTS Research Program indicates that there are recurrent features in the writing under test conditions of candidates from Chinese language backgrounds, particularly in terms of interpersonal tenor. These include a high level of interpersonal reference, combined with a heavily dialogic and hortatory style.…

  10. With the Design in Mind: "High School Reform Model Features That Matter in Implementation." Conference Paper (United States)

    Shiffman, Catherine Dunn


    This paper proposes a framework for analyzing program design features that seem to matter in implementation. The framework is based on findings from a study conducted by the Consortium for Policy Research in Education (CPRE) between 2004 and 2007 that explored how reform ideas and practices created by five external provider organizations were…

  11. Sandia's mentoring program : an ongoing success.

    Energy Technology Data Exchange (ETDEWEB)

    Brewer, Soila


    This report summarizes the Mentoring Program at Sandia National Laboratories (SNL), which has been an on-going success since its inception in 1995. The Mentoring Program provides a mechanism to develop a workforce able to respond to changing requirements and complex customer needs. The program objectives are to enhance employee contributions through increased knowledge of SNL culture, strategies, and programmatic direction. Mentoring is a proven mechanism for attracting new employees, retaining employees, and developing leadership. It helps to prevent the loss of corporate knowledge from attrition and retirement, and it increases the rate and level of contributions of new managers and employees, also spurring cross-organizational teaming. The Mentoring Program is structured as a one-year partnership between an experienced staff member or leader and a less experienced one. Mentors and mentees are paired according to mutual objectives and interests. Support is provided to the matched pairs from their management as well as division program coordinators in both New Mexico and California locations. In addition, bi-monthly large-group training sessions are held.


    Energy Technology Data Exchange (ETDEWEB)

    Dunn, K.; Daugherty, W.; Hackney, B.; Hoffman, E.; Skidmore, E.


    Results from the 9975 shipping package Storage and Surveillance Program at the Savannah River Site (SRS) are summarized for justification to extend the life of the 9975 packages currently stored in the K-Area Complex (KAC). This justification is established with the stipulation that surveillance activities will continue throughout the extended time to ensure the continued integrity of the 9975 materials of construction and to further understand the currently identified degradation mechanisms. The 10 year storage life justification was developed prior to storage. A subsequent report was later used to validate the qualification of the 9975 shipping packages for 10 years in storage. However the qualification for the storage period was provided by the monitoring requirements of the 9975 Storage and Surveillance Program. This report summarizes efforts to determine a new safe storage limit for the 9975 shipping package based on the surveillance data collected since 2005 when the 9975 Storage and Surveillance Program began. The Program has demonstrated that the 9975 package has a robust design that can perform under a variety of conditions. The primary emphasis of the on-going 9975 Storage and Surveillance Program is an aging study of the 9975 Viton{reg_sign} containment vessel O-rings and the Celotex{reg_sign} fiberboard thermal insulation at bounding conditions of radiation, elevated temperatures and/or elevated humidity.

  13. Case Report: Unusual computed tomographic features of ...

    African Journals Online (AJOL)

    A case report of a 57-year old woman who presented with signs and symptoms of intracranial mass. Computed tomographic (CT) and clinical features were unusual and suggestive of a parasaggital Meningioma. However an accurate diagnosis of a tuberculoma was made at surgery and histopathological examination.

  14. A Feature Database for Multimedia Objects

    NARCIS (Netherlands)

    M.L. Kersten (Martin); M.A. Windhouwer; N.J. Nes (Niels)


    textabstractThe Acoi project provides a large-scale experimentation platform to facilitate studies in the area of indexing multimedia objects and their subsequent retrieval. The index model is based on assembling the results of feature detection algorithms into hierarchical structures to classify

  15. A feature database for multimedia objects

    NARCIS (Netherlands)

    M.L. Kersten (Martin); N.J. Nes (Niels); M.A. Windhouwer


    textabstractThe Acoi project provides a large-scale experimentation platform to facilitate studies in the area of indexing multimedia objects and their subsequent retrieval. The index model is based on assembling the results of feature detection algorithms into hierarchical structures to classify

  16. Gender Determination using Fingertip Features | Wang | Internet ...

    African Journals Online (AJOL)

    Several previous studies have investigated the gender difference of the fingerprint features. However, regarding to the statistical significance of such differences, inconsistent results have been obtained. To resolve this problem and to develop a method for gender determination, this work proposes and tests three fingertip ...

  17. Fourth Global Health Systems Research Symposium features ...

    International Development Research Centre (IDRC) Digital Library (Canada)


    Fourth Global Health Systems Research Symposium features innovative research on improving maternal and child health in Africa. January 13, 2017. Image. Sue Szabo and Karina Gould at HSR2016 Conference. IDRC / Louise Guenette. Sue Szabo and Karina Gould at the Fourth Global Symposium on Health Systems ...

  18. Competing features influence children's attention to number. (United States)

    Chan, Jenny Yun-Chen; Mazzocco, Michèle M M


    Spontaneous focus on numerosity (SFON), an attentional process that some consider distinct from number knowledge, predicts later mathematical skills. Here we assessed the "spontaneity" and malleability of SFON using a picture-matching task. We asked children to view a target picture and to choose which of four other pictures matched the target. We tested whether attention to number (defined as number-based matches) was affected by (a) age, (b) the presence of very noticeable (or salient) features among alternative match choices, and (c) the examiner's use of motor actions to emphasize numerosity. Although adults attended to number more frequently than did preschoolers, the salience of competing features affected responses to number in both age groups. Specifically, number-based matches were more likely when alternative choices matched the target on features of low versus high salience (e.g., the relative location within a picture frame vs. color). In addition, adults' attention to number was more frequent if their first exposure to number-based matches occurred with alternative choices that matched the target on low salience features. This order by salience interaction was not observed among children. Simply observing motor actions that emphasized number (i.e., tapping stimuli) did not enhance children's attention to number. The results extend previous findings on SFON and provide evidence for the contextual influences on, and malleability of, attention to number. Copyright © 2016 Elsevier Inc. All rights reserved.

  19. Some interesting structural features and metallated hypervalent ...

    Indian Academy of Sciences (India)


    The metallation of hypervalent species/electron deficient molecules 1 of main group elements with transition metals through nucleophilic substitution reactions has resulted in the isolation of some novel products 2. These synthetic species have some interesting structural features. An overview of our experience in this field is ...


    Directory of Open Access Journals (Sweden)

    Cătălin IANCU


    Full Text Available In this paper are presented the analysis steps to be taken in SolidWorks for conducting a preliminary study of parts designed, using SimulationExpress module. There are presented the module features and the settings that have to be done for such analysis and the results shown after analysis

  1. Dexamethasone induced psychosis presenting with catatonic features

    African Journals Online (AJOL)

    on risperidone. She responded favourably to this and was discharged after two weeks on the ward, mentally stable with no evidence of thought disorder or hallucinations. This case demonstrates that dexamethasone can precipitate psychotic symptoms with catatonic features. (catatonic stupor) in previously well individuals.

  2. Local anisotropic features method and its application (United States)

    Gibin, Igor S.; Popov, Pavel G.


    The local anisotropic features method is based on the analysis of anisotropy direction of energy Fourier spectrum of image points local neighborhood. Numbers of discrete anisotropic directions are chosen as features. In the features space the measure of images nearness is set. Thanks to its properties local anisotropic features (LAF) are invariant to a wide class of input images bright transformations. This allows to identify images got by different observing channels, in different spectral ranges, within different external observation conditions. LAF method allows to perform multifunctional images processing: recognition, tracking, compression of data. LAF method may be adapted practically to any image receiver and used for multichannel information processing: channels complexing and scene integral image synthesis. The advantage of LAF method is that all kinds of processing may be realized in one computing device. Another advantage of this method is its high obstacles stability. Using the dynamic nearness measure as a constituent and integral part of the method allows to select dynamic objects and to mark them out against the underlying background. It is convenient to use LAF method in hierarchical and neuro-like structures, this makes it winning to use this method in automatic recognition system. The report considers apparatus realization and gives experimental results of images processing in multichannel optoelectronic systems in real time.

  3. Classifying Written Texts Through Rhythmic Features

    NARCIS (Netherlands)

    Balint, Mihaela; Dascalu, Mihai; Trausan-Matu, Stefan


    Rhythm analysis of written texts focuses on literary analysis and it mainly considers poetry. In this paper we investigate the relevance of rhythmic features for categorizing texts in prosaic form pertaining to different genres. Our contribution is threefold. First, we define a set of rhythmic

  4. Dexamethasone induced psychosis presenting with catatonic features

    African Journals Online (AJOL)

    corticosteroids, there are however, few reported cases of catatonia due to steroids. A literature search revealed very few articles written on catatonia due to steroids. We report a case of apparent dexamethasone induced psychosis presenting with features of catatonia. B.O, a 20year old female undergraduate in Nigeria, was.

  5. Dexamethasone induced psychosis presenting with catatonic features

    African Journals Online (AJOL)

    disorders, delirium and anxiety disorders due to use of corticosteroids, there are however, few reported cases of catatonia due to steroids. A literature search revealed very few articles written on catatonia due to steroids. We report a case of apparent dexamethasone induced psychosis presenting with features of catatonia.

  6. Structural features of bionanocomposite derived from novel ...

    Indian Academy of Sciences (India)

    Home; Journals; Bulletin of Materials Science; Volume 36; Issue 2. Structural features of bionanocomposite derived from novel designed poly(ester-imide) based on natural amino acids with hydroxyl segments tailored for better dispersion of TiO2 nanofiller. Shadpour Mallakpour Parvin Asadi. Volume 36 Issue 2 April 2013 ...

  7. Hematologic features among anemic Cameroonian pregnant ...

    African Journals Online (AJOL)

    Introduction: iron deficiency anemia is the leading cause of anemia worldwide. It may also be the leading cause of anemia in pregnancy, although this has not yet been demonstrated in our country. The aim of the study was to describe hematologic features of Cameroonian anemic pregnant women. Methods: this cross ...

  8. Depressive features among adult patients receiving antiretroviral ...

    African Journals Online (AJOL)

    Background. Globally, it is estimated that depressive features occur in 15 - 36% of people suffering from chronic diseases and 60% of people with HIV/AIDS. A high prevalence of mental disorders among HIV-infected individuals has been shown in South Africa and other parts of sub-Saharan Africa. Untreated depression ...

  9. Determination of morphological features and molecular interactions ...

    African Journals Online (AJOL)

    This research focused on identifying the morphological features and molecular interactions of the Nigerian Bentonitic clays using Scanning Electron Microscope (SEM) characterisation technique. The SEM microstructure images indicated that the bentonite samples are generally moderately dispersive to dispersive with ...

  10. Audiovisual laughter detection based on temporal features

    NARCIS (Netherlands)

    Petridis, Stavros; Pantic, Maja


    Previous research on automatic laughter detection has mainly been focused on audio-based detection. In this study we present an audio-visual approach to distinguishing laugh- ter from speech based on temporal features and we show that integrating the information from audio and video chan- nels leads

  11. Introduction: Features of environmental sustainability in agriculture

    DEFF Research Database (Denmark)

    Dalgaard, Tommy; Ferrari, S; Rambonilaza, M


    This introductive paper aims to address the features of environmental sustainability in agriculture. Recent developments of the concept, which are discussed here, emphasise its multi-faceted nature and lead to various definitions as well as to different implications for policy measures in society...

  12. Geomorphological features of active tectonics and ongoing ...

    Indian Academy of Sciences (India)

    Home; Journals; Journal of Earth System Science; Volume 124; Issue 6. Geomorphological features of active tectonics and ... concluded that the region is still tectonically active. The information would be very important in identifying the areas of hazard prone and also planning and designing of the socio-economic projects.

  13. Citing geospatial feature inventories with XML manifests (United States)

    Bose, R.; McGarva, G.


    Today published scientific papers include a growing number of citations for online information sources that either complement or replace printed journals and books. We anticipate this same trend for cartographic citations used in the geosciences, following advances in web mapping and geographic feature-based services. Instead of using traditional libraries to resolve citations for print material, the geospatial citation life cycle will include requesting inventories of objects or geographic features from distributed geospatial data repositories. Using a case study from the UK Ordnance Survey MasterMap database, which is illustrative of geographic object-based products in general, we propose citing inventories of geographic objects using XML feature manifests. These manifests: (1) serve as a portable listing of sets of versioned features; (2) could be used as citations within the identification portion of an international geospatial metadata standard; (3) could be incorporated into geospatial data transfer formats such as GML; but (4) can be resolved only with comprehensive, curated repositories of current and historic data. This work has implications for any researcher who foresees the need to make or resolve references to online geospatial databases.


    Directory of Open Access Journals (Sweden)

    R. Aishwarya


    Full Text Available The control of prosthetic limb would be more effective if it is based on Surface Electromyogram (SEMG signals from remnant muscles. The analysis of SEMG signals depend on a number of factors, such as amplitude as well as time- and frequency-domain properties. Time series analysis using Auto Regressive (AR model and Mean frequency which is tolerant to white Gaussian noise are used as feature extraction techniques. EMG Histogram is used as another feature vector that was seen to give more distinct classification. The work was done with SEMG dataset obtained from the NINAPRO DATABASE, a resource for bio robotics community. Eight classes of hand movements hand open, hand close, Wrist extension, Wrist flexion, Pointing index, Ulnar deviation, Thumbs up, Thumb opposite to little finger are taken into consideration and feature vectors are extracted. The feature vectors can be given to an artificial neural network for further classification in controlling the prosthetic arm which is not dealt in this paper.

  15. Item Feature Effects in Evolution Assessment (United States)

    Nehm, Ross H.; Ha, Minsu


    Despite concerted efforts by science educators to understand patterns of evolutionary reasoning in science students and teachers, the vast majority of evolution education studies have failed to carefully consider or control for item feature effects in knowledge measurement. Our study explores whether robust contextualization patterns emerge within…

  16. Radiologic features of ameloblastoma in Nigerians. (United States)

    Lagundoye, S B; Akinosi, J O; Obisesan, A A; Oluwasanmi, O


    Radiology plays an important role in preoperative diagnosis and postoperative assessment of ameloblastoma. The postoperative appearances, including complications as well as radiologic features of recurrence, are discussed. The differential diagnosis of the unilocular lesion is difficult, and particularly noteworthy are the five cases of histologically proven adamantinoma whose radiographic appearance closely mimicked dentigerous cyst.

  17. Testing Adults' Awareness of English Paralinguistic Features. (United States)

    Ghadessy, Mohsen


    After noting limited interest in the teaching and/or testing of paralinguistic features of spoken English, this article describes a test that includes a number of items uttered differently, which students are asked to interpret. Suggestions are offered regarding test administration, test items, and student evaluation. (five references) (LB)

  18. Temporal accumulation of oriented visual features

    DEFF Research Database (Denmark)

    Pugeault, Nicolas; Krüger, Norbert


    In this paper we present a framework for accumulating on-line a model of a moving object (e.g., when manipulated by a robot). The proposed scheme is based on Bayesian filtering of local features, filtering jointly position, orientation and appearance information. The work presented here is novel...

  19. [Major depression: features indicative of bipolarity?]. (United States)

    Azorin, J-M


    Several recent studies have shown that bipolar disorder is underdiagnosed in patients with major depression. Missing the diagnosis of a bipolar disorder may have serious and even occasionally fatal consequences for a patient with the disease. Moreover misdiagnosis may lead to inappropriate treatment and therefore contribute to worsening medical and functional prognosis. Although there are no pathognomonic characteristics of bipolar depression compared to unipolar depression, evidence-based findings suggest that some features may be indicative of bipolarity, in patients with depression. These features are related to clinical picture of depressive state, course of episode and illness, response to treatment, family history, comorbid conditions, as well as demographic and temperamental characteristics. Based on such features, some authors have proposed operationalized criteria or a diagnostic specific for bipolarity, to identify bipolar depression. Screening instruments may also be used, to facilitate early recognition. Validation studies of these diagnostic features and instruments are underway. Copyright © 2011 L’Encéphale. Published by Elsevier Masson SAS.. All rights reserved.

  20. Morphological features in children with autism

    NARCIS (Netherlands)

    Özgen, Mihriban Heval


    The central research aim in the present thesis was to extend the insight in several aspects of the role of the morphological features in autism. Clinical morphology might be used as a biomarker for ASD to reveal insight into the complexity of the disorder. In Chapter 1 current terminology and