WorldWideScience

Sample records for extracting interesting patterns

  1. Interesting Multi-Relational Patterns

    CERN Document Server

    Spyropoulou, Eirini

    2011-01-01

    Mining patterns from multi-relational data is a problem attracting increasing interest within the data mining community. Traditional data mining approaches are typically developed for highly simplified types of data, such as an attribute-value table or a binary database, such that those methods are not directly applicable to multi-relational data. Nevertheless, multi-relational data is a more truthful and therefore often also a more powerful representation of reality. Mining patterns of a suitably expressive syntax directly from this representation, is thus a research problem of great importance. In this paper we introduce a novel approach to mining patterns in multi-relational data. We propose a new syntax for multi-relational patterns as complete connected subgraphs in a representation of the database as a K-partite graph. We show how this pattern syntax is generally applicable to multirelational data, while it reduces to well-known tiles [7] when the data is a simple binary or attribute-value table. We pro...

  2. Lexical patterns or dependency patterns: which is better for hypernym extraction?

    NARCIS (Netherlands)

    E. Tjong Kim Sang; K. Hofmann

    2009-01-01

    We compare two different types of extraction patterns for automatically deriving semantic information from text: lexical patterns, built from words and word class information, and dependency patterns with syntactic information obtained from a full parser. We are particularly interested in whether th

  3. Lexical patterns or dependency patterns: which is better for hypernym extraction?

    NARCIS (Netherlands)

    Tjong Kim Sang, E.; Hofmann, K.; Stevenson, S.; Carreras, X.

    2009-01-01

    We compare two different types of extraction patterns for automatically deriving semantic information from text: lexical patterns, built from words and word class information, and dependency patterns with syntactic information obtained from a full parser. We are particularly interested in whether

  4. Pattern Based Term Extraction Using ACABIT System

    CERN Document Server

    Takeuchi, Koichi; Koyama, Teruo; Daille, Béatrice; Romary, Laurent

    2009-01-01

    In this paper, we propose a pattern-based term extraction approach for Japanese, applying ACABIT system originally developed for French. The proposed approach evaluates termhood using morphological patterns of basic terms and term variants. After extracting term candidates, ACABIT system filters out non-terms from the candidates based on log-likelihood. This approach is suitable for Japanese term extraction because most of Japanese terms are compound nouns or simple phrasal patterns.

  5. Extracting Communities of Interests for Semantics-Based Graph Searches

    Science.gov (United States)

    Nakatsuji, Makoto; Tanaka, Akimichi; Uchiyama, Toshio; Fujimura, Ko

    Users recently find their interests by checking the contents published or mentioned by their immediate neighbors in social networking services. We propose semantics-based link navigation; links guide the active user to potential neighbors who may provide new interests. Our method first creates a graph that has users as nodes and shared interests as links. Then it divides the graph by link pruning to extract practical numbers, that the active user can navigate, of interest-sharing groups, i.e. communities of interests (COIs). It then attaches a different semantic tag to the link to each representative user, which best reflects the interests of COIs that they are included in, and to the link to each immediate neighbor of the active user. It finally calculates link attractiveness by analyzing the semantic tags on links. The active user can select the link to access by checking the semantic tags and link attractiveness. User interests extracted from large scale actual blog-entries are used to confirm the efficiency of our proposal. Results show that navigation based on link attractiveness and representative users allows the user to find new interests much more accurately than is otherwise possible.

  6. New algorithm of extraction of palmprint region of interest (ROI)

    Science.gov (United States)

    Harun, Nurzalina; Rahman, Wan Eny Zarina Wan Abd; Zaleha Zainal Abidin, Siti; Jaya Othman, Puwira

    2017-09-01

    Palmprint contains numerous patterns that are unique and distinct in detecting human identity. The process of extracting the palmprint ROI is very important since its result provide initial information for personal identification. In obtaining palmprint ROI, there are numerous algorithms that have been proposed by past researchers. However, as best to our knowledge, the extracted ROI using these algorithms only cover a small part of the palmprint. Due to this limitation, some important features that can be used as an individual identification might be neglected. In this research, a new algorithm for extracting the palmprint ROI is proposed. The performance of the proposed algorithm is compared to two other existing algorithms. The three algorithms are tested based on the location and size of the extracted ROI. The result obtained shows that the proposed algorithm has successfully extract larger palmprint ROI compared to existing algorithms. The results provide platform for further use on identifying and verifying the identity of an individual.

  7. Features Extraction for Object Detection Based on Interest Point

    Directory of Open Access Journals (Sweden)

    Amin Mohamed Ahsan

    2013-05-01

    Full Text Available In computer vision, object detection is an essential process for further processes such as object tracking, analyzing and so on. In the same context, extraction features play important role to detect the object correctly. In this paper we present a method to extract local features based on interest point which is used to detect key-points within an image, then, compute histogram of gradient (HOG for the region surround that point. Proposed method used speed-up robust feature (SURF method as interest point detector and exclude the descriptor. The new descriptor is computed by using HOG method. The proposed method got advantages of both mentioned methods. To evaluate the proposed method, we used well-known dataset which is Caltech101. The initial result is encouraging in spite of using a small data for training.

  8. Unsupervised regions of interest extraction for color image compression

    Institute of Scientific and Technical Information of China (English)

    Xiaoguang Shao; Kun Gao; Lili L(U); Guoqiang Ni

    2012-01-01

    A novel unsupervised approach for regions of interest (ROI) extraction that combines the modified visual attention model and clustering analysis method is proposed.Then the non-uniform color image compression algorithm is followed to compress ROI and other regions with different compression ratios through the JPEG image compression algorithm.The reconstruction algorithm of the compressed image is similar to that of the JPEG algorithm.Experimental results show that the proposed method has better performance in terms of compression ratio and fidelity when comparing with other traditional approaches.

  9. Output-Sensitive Pattern Extraction in Sequences

    DEFF Research Database (Denmark)

    Grossi, Roberto; Menconi, Giulia; Pisanti, Nadia

    2014-01-01

    Genomic Analysis, Plagiarism Detection, Data Mining, Intrusion Detection, Spam Fighting and Time Series Analysis are just some examples of applications where extraction of recurring patterns in sequences of objects is one of the main computational challenges. Several notions of patterns exist...

  10. Enhanced Pattern Representation in Information Extraction

    Institute of Scientific and Technical Information of China (English)

    廖乐健; 曹元大; 张映波

    2004-01-01

    Traditional pattern representation in information extraction lack in the ability of representing domain-specific concepts and are therefore devoid of flexibility. To overcome these restrictions, an enhanced pattern representation is designed which includes ontological concepts, neighboring-tree structures and soft constraints. An information-extraction inference engine based on hypothesis-generation and conflict-resolution is implemented. The proposed technique is successfully applied to an information extraction system for Chinese-language query front-end of a job-recruitment search engine.

  11. Output-Sensitive Pattern Extraction in Sequences

    DEFF Research Database (Denmark)

    Grossi, Roberto; Menconi, Giulia; Pisanti, Nadia

    2014-01-01

    Genomic Analysis, Plagiarism Detection, Data Mining, Intrusion Detection, Spam Fighting and Time Series Analysis are just some examples of applications where extraction of recurring patterns in sequences of objects is one of the main computational challenges. Several notions of patterns exist...... n. We address the problem of extracting maximal patterns with at most k don’t care symbols and at least q occurrences. Our contribution is to give the first algorithm that attains a stronger notion of output-sensitivity, borrowed from the analysis of data structures: the cost is proportional...... to the actual number of occurrences of each pattern, which is at most n and practically much smaller than n in real applications, thus avoiding the aforementioned cost of O(nc) per pattern....

  12. Extraction of interesting organic compounds from olive oil waste

    Directory of Open Access Journals (Sweden)

    Jiménez, Ana

    2006-03-01

    Full Text Available In the olive fruits there is a large amount of bioactive compounds and substances of high interest. Many of them are known by owing health beneficial properties that contribute to protective effect of the virgin olive oil. During olive oil processing, most of them remain in the olive oil wastes. Although, olive-mill wastewater (OMWW or “alpechin”, olive oil cake (OOC, and the new by-product, known as “alperujo” in Spain and generated by the two-phase extraction process, represent a major disposal and potentially severe pollution problem for the industry, they are also promising source of substances of high value. This review summarises the last knowledge on the utilisation of residual products, with more than 90 references including articles and patents, which are promising with regard to future application. All these investigations have been classified into two options, the recovery of valuable natural constituents and the bioconversion into useful products.Existe una gran cantidad de compuestos bioactivos y de alto interés presentes en la aceituna. Muchos de ellos se conocen por las cualidades beneficiosas que aportan al aceite de oliva virgen. La mayoría permanecen en mayor cantidad en el subproducto de la extracción del aceite. Aunque, el alpechín, el orujo y el nuevo subproducto de extracción del aceite en dos fases, alperujo, representan un problema potencial de vertido y contaminación, también son una prometedora fuente de compuestos de alto valor. Esta revisión resume lo último que se conoce sobre la utilización de estos residuos en el campo anteriormente mencionado, con más de 90 referencias que incluyen artículos y patentes. Todas estas investigaciones han sido clasificadas en cuanto a la recuperación de constituyentes naturalmente presentes o en cuanto a la bioconversión de los residuos en sustancias de interés.

  13. Weblog patterns and modeling human dynamics with decaying interest

    CERN Document Server

    Guo, Jin-Li

    2010-01-01

    Web log is the fourth network exchange way following Email, BBS and MSN. Most bloggers began to write blogs with great interest, over time their interest gradually achieves a balance. In order to describe the phenomenon that people's interest in something gradually decays and achieves the balance, we first propose a model and give a rigorous analysis on it. This model describes interested in attenuation, and it reflects that people's interest in something is getting more stable after a long period of time. Our analysis indicates that the arrival-time interval distribution of the model is a mixed distribution with exponential and power-law feature. Secondly, we collect blogs in ScienceNet.cn and present an empirical study of blog arrival-time interval distribution. These empirical results verify the model, providing evidence for a new class of phenomena in human dynamics. The empirical results agree with the analytical result well, obeying an approximately mixed form. In human dynamics there are other distribu...

  14. Patterns of Word Reading Skill, Interest and Self-Concept of Ability

    Science.gov (United States)

    Viljaranta, Jaana; Kiuru, Noona; Lerkkanen, Marja-Kristiina; Silinskas, Gintautas; Poikkeus, Anna-Maija; Nurmi, Jari-Erik

    2017-01-01

    The majority of previous research on academic skills, self-concept of ability and interest has deployed the variable-oriented approach and focused on self-concept, or ability, or interest only. This study examined the patterns and dynamics of pattern change in Finnish children's word reading skill, self-concept of ability and interest from…

  15. Weblog patterns and human dynamics with decreasing interest

    Science.gov (United States)

    Guo, J.-L.; Fan, C.; Guo, Z.-H.

    2011-06-01

    In order to describe the phenomenon that people's interest in doing something always keep high in the beginning while gradually decreases until reaching the balance, a model which describes the attenuation of interest is proposed to reflect the fact that people's interest becomes more stable after a long time. We give a rigorous analysis on this model by non-homogeneous Poisson processes. Our analysis indicates that the interval distribution of arrival-time is a mixed distribution with exponential and power-law feature, which is a power law with an exponential cutoff. After that, we collect blogs in ScienceNet.cn and carry on empirical study on the interarrival time distribution. The empirical results agree well with the theoretical analysis, obeying a special power law with the exponential cutoff, that is, a special kind of Gamma distribution. These empirical results verify the model by providing an evidence for a new class of phenomena in human dynamics. It can be concluded that besides power-law distributions, there are other distributions in human dynamics. These findings demonstrate the variety of human behavior dynamics.

  16. Relating interesting quantitative time series patterns with text events and text features

    Science.gov (United States)

    Wanner, Franz; Schreck, Tobias; Jentner, Wolfgang; Sharalieva, Lyubka; Keim, Daniel A.

    2013-12-01

    In many application areas, the key to successful data analysis is the integrated analysis of heterogeneous data. One example is the financial domain, where time-dependent and highly frequent quantitative data (e.g., trading volume and price information) and textual data (e.g., economic and political news reports) need to be considered jointly. Data analysis tools need to support an integrated analysis, which allows studying the relationships between textual news documents and quantitative properties of the stock market price series. In this paper, we describe a workflow and tool that allows a flexible formation of hypotheses about text features and their combinations, which reflect quantitative phenomena observed in stock data. To support such an analysis, we combine the analysis steps of frequent quantitative and text-oriented data using an existing a-priori method. First, based on heuristics we extract interesting intervals and patterns in large time series data. The visual analysis supports the analyst in exploring parameter combinations and their results. The identified time series patterns are then input for the second analysis step, in which all identified intervals of interest are analyzed for frequent patterns co-occurring with financial news. An a-priori method supports the discovery of such sequential temporal patterns. Then, various text features like the degree of sentence nesting, noun phrase complexity, the vocabulary richness, etc. are extracted from the news to obtain meta patterns. Meta patterns are defined by a specific combination of text features which significantly differ from the text features of the remaining news data. Our approach combines a portfolio of visualization and analysis techniques, including time-, cluster- and sequence visualization and analysis functionality. We provide two case studies, showing the effectiveness of our combined quantitative and textual analysis work flow. The workflow can also be generalized to other

  17. Simple Patterns in Fluctuations of Time Series of Economic Interest

    Science.gov (United States)

    Fanchiotti, H.; García Canal, C. A.; García Zúñiga, H.

    Time series corresponding to nominal exchange rates between the US dollar and Argentina, Brazil and European Economic Community currencies; different financial indexes as the Industrial Dow Jones, the British Footsie, the German DAX Composite, the Australian Share Price and the Nikkei Cash and also different Argentine local tax revenues, are analyzed looking for the appearance of simple patterns and the possible definition of forecast evaluators. In every case, the statistical fractal dimensions are obtained from the behavior of the corresponding variance of increments at a given lag. The detrended fluctuation analysis of the data in terms of the corresponding exponent in the resulting power law is carried out. Finally, the frequency power spectra of all the time series considered are computed and compared

  18. In Search of a Polish Interest Representation Pattern in the European Union – the Case of Sector Interest Organisations

    Directory of Open Access Journals (Sweden)

    Urszula Kurczewska

    2010-11-01

    Full Text Available It may be expected that along with Poland’s accession to the EU, domestic sector interest organisations, to a larger extent than hitherto, will also be lobbying at the EU level, by using various ‘channels of access’. This article has two objectives: first, it is aimed at reconstructing the pattern of interest representation of Polish third sector organisations at the EU level; second, it analyses whether and how the isolated scheme fits into a pluralistic economic interest intermediation system in the EU. The analysis of individual cases reveals the advantage of a non-corporation related model in the representation of Polish interest groups, with the government occupying a dominant role, which may not be in line with the pluralistic and network-dependent character of the system at the EU level.

  19. CD measurement point extraction from local dense patterns

    Science.gov (United States)

    Miyajima, Masaaki; Matsumoto, Hiroyuki; Takeuchi, Kanji; Naoe, Mitsufumi; Hosono, Koji; Miyauchi, Toru

    2015-07-01

    Precision control of critical dimensions (CD) in modern photomask manufacturing is conventionally accomplished by measuring of CD check patterns allocated inside photomask area. Recently, due to use of immersion and High-NA processes for ArF scanners surface of photomask is subjected to higher energy exposure. Such high energy exposure not only increases the loading effect and the flare but also brings about additional issues such as Cr migration and degradation of MoSi film quality due to its surface oxidation which become a new source of CD deviation. Such phenomenon influence both local pattern shape and its dependence on pattern density and global pattern density and arrangement. To achieve good control of CD in such global environment it is required to measure patterns in the chip device area equivalent to CD check patterns allocated on that chip. However, it is extremely difficult to accurately extract coordinates of patterns for CD measurements inside large device of the chip. We have developed a system in which firstly, using design rule check (DRC) method we extract from the chip device area simple line and space (L/S) patterns similar to CD check patterns and secondly, after bitmap transformation of the extraction result use a convolution operation approach to determine the patterns to measure. We confirmed that our method enables selection of CD measurement points with good reproducibility and stability. Next, we report on details of our method to extract CD measurement points and demonstrate its usefulness due to its excellent reproducibility and stability.

  20. Pattern information extraction from crystal structures

    OpenAIRE

    Okuyan, Erhan

    2005-01-01

    Cataloged from PDF version of article. Determining crystal structure parameters of a material is a quite important issue in crystallography. Knowing the crystal structure parameters helps to understand physical behavior of material. For complex structures, particularly for materials which also contain local symmetry as well as global symmetry, obtaining crystal parameters can be quite hard. This work provides a tool that will extract crystal parameters such as primitive vect...

  1. Tooth extraction: Pattern and etiology from extreme Northwestern Nigeria.

    Science.gov (United States)

    Taiwo, Abdurrazaq Olanrewaju; Ibikunle, Adebayo Aremu; Braimah, Ramat Oyebunmi; Sulaiman, Omotayo Amidu; Gbotolorun, Olalekan Micah

    2017-01-01

    Tooth extraction is a commonly performed procedure in dental clinics. It has been shown that the reasons for and pattern of tooth extraction vary across geographical regions. Few reports on the pattern of extraction among a semi-urban populace exist. To the best of our knowledge, there is no study on the pattern and reasons for tooth mortality from Sokoto, Northwestern Nigeria, which is a semi-urban region. A review of the records of patients that had tooth extraction at our center between January 2009 and January 2016, was done. Data such as the age, gender, type of tooth extracted, and reasons for extraction were retrieved and analyzed. Cross tabulations for age and gender were also made. The level of statistical significance was set at P extractions were performed in 984 patients. An age range of 18-107 years with a mean (±standard deviation) of 34.8 (13.3) was observed. Most of the patients were in the 21-30 years age group accounting for 35.7% of cases. Dental caries and its sequelae (DCS) (631, 54.1%) were the most common reasons for extraction, followed by periodontal disease (192, 16.5%). The difference in proportions of reasons for tooth extraction between the gender was statistically significant (P = 0.02; df = 24). The difference in the reasons for extraction among the age groups was statistically significant (P extractions. These are largely preventable causes of tooth extraction; therefore, there is a need for commencement of far-reaching preventative actions.

  2. Pattern information extraction from crystal structures

    Science.gov (United States)

    Okuyan, Erhan; Güdükbay, Uğur; Gülseren, Oğuz

    2007-04-01

    Determining the crystal structure parameters of a material is an important issue in crystallography and material science. Knowing the crystal structure parameters helps in understanding the physical behavior of material. It can be difficult to obtain crystal parameters for complex structures, particularly those materials that show local symmetry as well as global symmetry. This work provides a tool that extracts crystal parameters such as primitive vectors, basis vectors and space groups from the atomic coordinates of crystal structures. A visualization tool for examining crystals is also provided. Accordingly, this work could help crystallographers, chemists and material scientists to analyze crystal structures efficiently. Program summaryTitle of program: BilKristal Catalogue identifier: ADYU_v1_0 Program summary URL:http://cpc.cs.qub.ac.uk/summaries/ADYU_v1_0 Program obtainable from: CPC Program Library, Queen's University of Belfast, N. Ireland Licensing provisions: None Programming language used: C, C++, Microsoft .NET Framework 1.1 and OpenGL Libraries Computer: Personal Computers with Windows operating system Operating system: Windows XP Professional RAM: 20-60 MB No. of lines in distributed program, including test data, etc.:899 779 No. of bytes in distributed program, including test date, etc.:9 271 521 Distribution format:tar.gz External routines/libraries: Microsoft .NET Framework 1.1. For visualization tool, graphics card driver should also support OpenGL Nature of problem: Determining crystal structure parameters of a material is a quite important issue in crystallography. Knowing the crystal structure parameters helps to understand physical behavior of material. For complex structures, particularly, for materials which also contain local symmetry as well as global symmetry, obtaining crystal parameters can be quite hard. Solution method: The tool extracts crystal parameters such as primitive vectors, basis vectors and identify the space group from

  3. Extracting Association Patterns in Network Communications

    Science.gov (United States)

    Portela, Javier; Villalba, Luis Javier García; Trujillo, Alejandra Guadalupe Silva; Orozco, Ana Lucila Sandoval; Kim, Tai-hoon

    2015-01-01

    In network communications, mixes provide protection against observers hiding the appearance of messages, patterns, length and links between senders and receivers. Statistical disclosure attacks aim to reveal the identity of senders and receivers in a communication network setting when it is protected by standard techniques based on mixes. This work aims to develop a global statistical disclosure attack to detect relationships between users. The only information used by the attacker is the number of messages sent and received by each user for each round, the batch of messages grouped by the anonymity system. A new modeling framework based on contingency tables is used. The assumptions are more flexible than those used in the literature, allowing to apply the method to multiple situations automatically, such as email data or social networks data. A classification scheme based on combinatoric solutions of the space of rounds retrieved is developed. Solutions about relationships between users are provided for all pairs of users simultaneously, since the dependence of the data retrieved needs to be addressed in a global sense. PMID:25679311

  4. Automated Discovery and Modeling of Sequential Patterns Preceding Events of Interest

    Science.gov (United States)

    Rohloff, Kurt

    2010-01-01

    The integration of emerging data manipulation technologies has enabled a paradigm shift in practitioners' abilities to understand and anticipate events of interest in complex systems. Example events of interest include outbreaks of socio-political violence in nation-states. Rather than relying on human-centric modeling efforts that are limited by the availability of SMEs, automated data processing technologies has enabled the development of innovative automated complex system modeling and predictive analysis technologies. We introduce one such emerging modeling technology - the sequential pattern methodology. We have applied the sequential pattern methodology to automatically identify patterns of observed behavior that precede outbreaks of socio-political violence such as riots, rebellions and coups in nation-states. The sequential pattern methodology is a groundbreaking approach to automated complex system model discovery because it generates easily interpretable patterns based on direct observations of sampled factor data for a deeper understanding of societal behaviors that is tolerant of observation noise and missing data. The discovered patterns are simple to interpret and mimic human's identifications of observed trends in temporal data. Discovered patterns also provide an automated forecasting ability: we discuss an example of using discovered patterns coupled with a rich data environment to forecast various types of socio-political violence in nation-states.

  5. Region of interest extraction based on saliency detection and contrast analysis for remote sensing images

    Science.gov (United States)

    Lv, Jing; Zhang, Libao; Wang, Shuang

    2016-10-01

    Region of Interest (ROI) extraction is an important component in remote sensing images processing, which is useful for further practical applications such as image compression, image fusion, image segmentation and image registration. Traditional ROI extraction methods are usually prior knowledge-based and depend on a global searching solution which are time consuming and computational complex. Saliency detection which is widely used for ROI extraction from natural scene images in these years can effectively solve the problem of high computation complexity in ROI extraction for remote sensing images as well as retain accuracy. In this paper, a new computational model is proposed to improve the accuracy of ROI extraction in remote sensing images. Considering the characteristics of remote sensing images, we first use lifting wavelet transform based on adaptive direction evaluation (ADE) to obtain multi-scale orientation contrast feature map (MF). Secondly, the features of color are exploited using the information content analysis to provide a color information map (CIM). Thirdly, feature fusion is used to integrate multi-scale orientation contrast features and color information for generating a saliency map. Finally, an adaptive threshold segmentation algorithm is employed to obtain the ROI. Compared with existing models, our method can not only effectively extract detail of the ROIs, but also effectively remove mistaken detection of the inner parts of the ROIs.

  6. Region of interest extraction based on multiscale visual saliency analysis for remote sensing images

    Science.gov (United States)

    Zhang, Yinggang; Zhang, Libao; Yu, Xianchuan

    2015-01-01

    Region of interest (ROI) extraction is an important component of remote sensing image processing. However, traditional ROI extraction methods are usually prior knowledge-based and depend on classification, segmentation, and a global searching solution, which are time-consuming and computationally complex. We propose a more efficient ROI extraction model for remote sensing images based on multiscale visual saliency analysis (MVS), implemented in the CIE L*a*b* color space, which is similar to visual perception of the human eye. We first extract the intensity, orientation, and color feature of the image using different methods: the visual attention mechanism is used to eliminate the intensity feature using a difference of Gaussian template; the integer wavelet transform is used to extract the orientation feature; and color information content analysis is used to obtain the color feature. Then, a new feature-competition method is proposed that addresses the different contributions of each feature map to calculate the weight of each feature image for combining them into the final saliency map. Qualitative and quantitative experimental results of the MVS model as compared with those of other models show that it is more effective and provides more accurate ROI extraction results with fewer holes inside the ROI.

  7. Extracting Point of Interest and Classifying Environment for Low Sampling Crowd Sensing Smartphone Sensor Data

    OpenAIRE

    Lau, Billy Pik Lik; Hasala, Marakkalage Sumudu; Kadaba, Viswanath Sanjana; Thirunavukarasu, Balasubramaniam; Yuen, Chau; Yuen, Belinda; Nayak, Richi

    2017-01-01

    The advancement of smartphones with various type of sensors enabled us to harness diverse information with crowd sensing mobile application. However, traditional approaches have suffered drawbacks such as high battery consumption as a trade off to obtain high accuracy data using high sampling rate. To mitigate the battery consumption, we proposed low sampling point of interest (POI) extraction framework, which is built upon validation based stay points detection (VSPD) and sensor fusion based...

  8. Sliding Window-Based Region of Interest Extraction for Finger Vein Images

    Directory of Open Access Journals (Sweden)

    Rongyang Xiao

    2013-03-01

    Full Text Available Region of Interest (ROI extraction is a crucial step in an automatic finger vein recognition system. The aim of ROI extraction is to decide which part of the image is suitable for finger vein feature extraction. This paper proposes a finger vein ROI extraction method which is robust to finger displacement and rotation. First, we determine the middle line of the finger, which will be used to correct the image skew. Then, a sliding window is used to detect the phalangeal joints and further to ascertain the height of ROI. Last, for the corrective image with certain height, we will obtain the ROI by using the internal tangents of finger edges as the left and right boundary. The experimental results show that the proposed method can extract ROI more accurately and effectively compared with other methods, and thus improve the performance of finger vein identification system. Besides, to acquire the high quality finger vein image during the capture process, we propose eight criteria for finger vein capture from different aspects and these criteria should be helpful to some extent for finger vein capture.

  9. Sliding window-based region of interest extraction for finger vein images.

    Science.gov (United States)

    Yang, Lu; Yang, Gongping; Yin, Yilong; Xiao, Rongyang

    2013-03-18

    Region of Interest (ROI) extraction is a crucial step in an automatic finger vein recognition system. The aim of ROI extraction is to decide which part of the image is suitable for finger vein feature extraction. This paper proposes a finger vein ROI extraction method which is robust to finger displacement and rotation. First, we determine the middle line of the finger, which will be used to correct the image skew. Then, a sliding window is used to detect the phalangeal joints and further to ascertain the height of ROI. Last, for the corrective image with certain height, we will obtain the ROI by using the internal tangents of finger edges as the left and right boundary. The experimental results show that the proposed method can extract ROI more accurately and effectively compared with other methods, and thus improve the performance of finger vein identification system. Besides, to acquire the high quality finger vein image during the capture process, we propose eight criteria for finger vein capture from different aspects and these criteria should be helpful to some extent for finger vein capture.

  10. Infrared image segmentation based on region of interest extraction with Gaussian mixture modeling

    Science.gov (United States)

    Yeom, Seokwon

    2017-05-01

    Infrared (IR) imaging has the capability to detect thermal characteristics of objects under low-light conditions. This paper addresses IR image segmentation with Gaussian mixture modeling. An IR image is segmented with Expectation Maximization (EM) method assuming the image histogram follows the Gaussian mixture distribution. Multi-level segmentation is applied to extract the region of interest (ROI). Each level of the multi-level segmentation is composed of the k-means clustering, the EM algorithm, and a decision process. The foreground objects are individually segmented from the ROI windows. In the experiments, various methods are applied to the IR image capturing several humans at night.

  11. Phase extraction from fringe pattern via light propagation.

    Science.gov (United States)

    Zhu, Wenhua; Chen, Lei; Zheng, Donghui; Zhang, Rui; Han, Zhigang

    2017-01-10

    A phase demodulation method via light propagation is proposed, where one or two fringe patterns are viewed as the superposition of complex amplitudes, and then the phase is reconstructed by separating the light field via light propagation. Simulation and experimental results indicated that the proposed method can extract the phase from a single shot effectively, thereby realizing dynamic phase retrieval. In addition, the accuracy of phase reconstruction can be improved by adding another fringe pattern with an unknown phase shift. The carrier requirement is relatively low, and, thus, the proposed method can be applied to the measurements with an environment disturbance, an inaccurate phase shift, and the requirement of a high speed capture.

  12. A Frequent Pattern Mining Algorithm for Feature Extraction of Customer Reviews

    Directory of Open Access Journals (Sweden)

    Seyed Hamid Ghorashi

    2012-07-01

    Full Text Available Online shoppers often have different idea about the same product. They look for the product features that are consistent with their goal. Sometimes a feature might be interesting for one, while it does not make that impression for someone else. Unfortunately, identifying the target product with particular features is a tough task which is not achievable with existing functionality provided by common websites. In this paper, we present a frequent pattern mining algorithm to mine a bunch of reviews and extract product features. Our experimental results indicate that the algorithm outperforms the old pattern mining techniques used by previous researchers.

  13. Music snippet extraction via melody-based repeated pattern discovery

    Institute of Scientific and Technical Information of China (English)

    XU JiePing; ZHAO Yang; CHEN Zhe; LIU ZiLi

    2009-01-01

    In this paper, we present a complete set of procedures to automatically extract a music snippet, defined as the most representative or the highlighted excerpt of a music clip. We first generate a modified and compact similarity matrix based on selected features and distance metrics, and then several improved techniques for music repeated pattern discovery are utilized because a music snippet is usually a part of the repeated melody, main theme or chorus. During the process, redundant and wrongly detected patterns are discarded, boundaries are corrected using beat information, and final clusters are also further sorted according to the occurrence frequency and energy information. Subsequently, following our methods, we designed a music snippet extraction system which allows users to detect snippets. Experiments performed on the system show the superiority of our proposed approach.

  14. Robust method for interest region description based on local intensity binary pattern

    Science.gov (United States)

    Yang, Yi; Duan, Fajie; Jiang, Jiajia; Ma, Ling; Zheng, Hao

    2017-07-01

    This paper proposes a robust method based on a local intensity binary pattern for interest feature description. To avoid estimating reference orientation, local features were calculated on a rotation invariant system. Different from the local binary patterns (LBP) and center-symmetric-LBP operator, our proposed local circular contrast pattern (LCCP) operator calculates a local binary feature by comparing the relative intensity order information of each two adjacent elements in the sequence consisting of the sampling point and its neighboring points. To evaluate the performance of our proposed descriptor LCCP and other existing descriptors (e.g., scale-invariant feature transform, DAISY, HRI-CSLTP, multisupport region order-based gradient histogram-single, local intensity order pattern), image matching experiments were first conducted on the Oxford dataset, additional image pairs with complex light changes, image sequences with different noise, and three-dimensional objects dataset. To further evaluate the discriminative ability of local descriptors, a simple object recognition experiment was carried out on three public datasets. The experimental results show that our descriptor LCCP exhibits a better performance and robustness than other evaluated descriptors.

  15. Uncovering patterns of consumers' interest for beer: A case study with craft beers.

    Science.gov (United States)

    Donadini, Gianluca; Porretta, Sebastiano

    2017-01-01

    To uncover patterns of consumer interest in craft beers, the authors explored the quality perception of craft beers in a panel of industrial mass-marketed beer drinkers (n=150) and examined the differences in interest for this beer segment between men and women. The authors adopted a conjoint rating experiment in which the respondents were given forty-nine beer profiles to evaluate and were asked to score the degree of interest in each profile on a 9-point scale. Each profile was described on eight attributes (type of brewery, brewing technology, characterizing raw materials, brewhouse equipment, location of the brewery, type of container, retail price, where to buy) varied at different levels. Results showed that Italian consumers placed greatest importance on type of container (30.49%) and on brewing technology (17.64%). Characterizing raw materials (13.44%) and type of brewery (12.64) rank 3 and 4 and were placed in the same band some way below brewing technology. Retail price (9.87%) and where to buy (8.73%) were of far less importance. The least importance of all was attached to brewhouse equipment (4.44%) and to location of the brewery (2.75%). As far as utility values are concerned, the factor level glass bottle+crown cap and the factor level microfiltration are the utilities that most increased the interest of consumers. They were followed by the factor level local grains, stainless steel keg and monastery. In contrast, the factor level PET Keg, aluminum can and large scale corporate brewery showed the greatest negative impact on interest. Men and women shared similar patterns of interest. However, men placed more importance than women on retail price, location of the brewery and where to buy. Women attached more importance than men on type of container, brewing technology and type of brewer. These findings are relevant to understanding consumers'behavior in the beer market and to translating consumer needs, wants and expectations into manufacturing

  16. Surface Patterning of Ceramic Phosphor Plate for Light Extraction

    Science.gov (United States)

    Mao, An

    Light-Emitting Diodes (LEDs) are expected to replace traditional lighting sources in the near future due to their energy-efficiency, optical design flexibility and good reliability over traditional lighting sources. III-V nitride blue LEDs with powdered phosphors have been used commercially to get white emission. However, due to scattering losses, thermal issues as well as the surface reactivity with common encapsulants, LEDs fabricated with powdered phosphors have limitations in achieving high luminous efficacy, high chromatic stability and good color-rendering properties. Solid, non-scattering phosphors could avoid many of these limitations, but issues of light extraction and coupling of excitation radiation to the phosphor require development to insure efficient operation. Photonic crystal structures fabricated into or on non-scattering phosphors can be used to address these challenges. In this thesis, a lift-off process with bilayer resist system is developed to create nanopatterns. A photonic crystal structure is fabricated by low cost molecular transfer lithography (MxL) with bi-layer resist system on non-scattering phosphor plate used for white emission to increase the extraction efficiency. In Chapter 1, some basic background concepts which appear frequently in this thesis are introduced. These concepts include the Stokes shift and backscattering phenomenon for powder phosphors as well as non-scattering phosphors. In Chapter 2, a non-scattering single crystal phosphor with a patterned surface is proposed to replace the powdered phosphors used for color converted LEDs. A non-scattering phosphor YAG:Ce ceramic phosphor plate (CPP) patterned with TiO2 photonic crystal structure is selected for convenience to demonstrate the concept. The physical origin of light extraction of the proposed structure is discussed. The simulation principles and results are discussed in this chapter to find the optimized photonic crystal structure for light extraction. In Chapter 3

  17. Emotion Discrimination using spatially Compact Regions of Interest extracted from Imaging EEG Activity

    Directory of Open Access Journals (Sweden)

    Jorge Ivan Padilla-Buritica

    2016-07-01

    Full Text Available Lately, research on computational models of emotion had been getting much attention due to their potential for understanding the mechanisms of emotions and their promising broad range of applications that potentially bridge the gap between human and machine interactions. We propose a new method for emotion classification that relies on features extracted from those active brain areas that are most likely related to emotions. To this end, we carry out the selection of spatially compact regions of interest that are computed using the brain neural activity reconstructed from electroencephalography data. Throughout this study, we consider three representative feature extraction methods widely applied to emotion detection tasks, including Power spectral density, Wavelet, and Hjorth parameters. Further feature selection is carried out using principal component analysis. For validation purpose, these features are used to feed a support vector machine classifier that is trained under the leave-one-out cross-validation strategy. Obtained results on real affective data show that incorporation of the proposed training method in combination with the enhanced spatial resolution provided by the source estimation allows improving the performed accuracy of discrimination in most of the considered emotions, namely: dominance, valence, and linking.

  18. Emotion Discrimination Using Spatially Compact Regions of Interest Extracted from Imaging EEG Activity

    Science.gov (United States)

    Padilla-Buritica, Jorge I.; Martinez-Vargas, Juan D.; Castellanos-Dominguez, German

    2016-01-01

    Lately, research on computational models of emotion had been getting much attention due to their potential for understanding the mechanisms of emotions and their promising broad range of applications that potentially bridge the gap between human and machine interactions. We propose a new method for emotion classification that relies on features extracted from those active brain areas that are most likely related to emotions. To this end, we carry out the selection of spatially compact regions of interest that are computed using the brain neural activity reconstructed from Electroencephalography data. Throughout this study, we consider three representative feature extraction methods widely applied to emotion detection tasks, including Power spectral density, Wavelet, and Hjorth parameters. Further feature selection is carried out using principal component analysis. For validation purpose, these features are used to feed a support vector machine classifier that is trained under the leave-one-out cross-validation strategy. Obtained results on real affective data show that incorporation of the proposed training method in combination with the enhanced spatial resolution provided by the source estimation allows improving the performed accuracy of discrimination in most of the considered emotions, namely: dominance, valence, and liking. PMID:27489541

  19. Rotation-Invariant Neural Pattern Recognition System Using Extracted Descriptive Symmetrical Patterns

    Directory of Open Access Journals (Sweden)

    YRehab F. Abdel-Kader, Rabab M. Ramadan, Fayez W. Zaki , and Emad El-Sayed1

    2012-05-01

    Full Text Available In this paper a novel rotation-invariant neural-based pattern recognition system is proposed. The system incorporates a new image preprocessing technique to extract rotation-invariant descriptive patterns from the shapes. The proposed system applies a three phase algorithm on the shape image to extract the rotation-invariant pattern. First, the orientation angle of the shape is calculated using a newly developed shape orientation technique. The technique is effective, computationally inexpensive and can be applied to shapes with several non-equally separated axes of symmetry. A simple method to calculate the average angle of the shape’s axes of symmetry is defined. In this technique, only the first moment of inertia is considered to reduce the computational cost. In the second phase, the image is rotated using a simple rotation technique to adapt its orientation angle to any specific reference angle. Finally in the third phase, the image preprocessor creates a symmetrical pattern about the axis with the calculated orientation angle and the perpendicular axis on it. Performing this operation in both the neural network training and application phases, ensures that the test rotated patterns will enter the network in the same position as in the training. Three different approaches were used to create the symmetrical patterns from the shapes. Experimental results indicate that the proposed approach is very effective and provide a recognition rate up to 99.5%.

  20. Feature Extraction and Pattern Identification for Anemometer Condition Diagnosis

    Directory of Open Access Journals (Sweden)

    Longji Sun

    2012-01-01

    Full Text Available Cup anemometers are commonly used for wind speed measurement in the wind industry. Anemometer malfunctions lead to excessive errors in measurement and directly influence the wind energy development for a proposed wind farm site. This paper is focused on feature extraction and pattern identification to solve the anemometer condition diagnosis problem of the PHM 2011 Data Challenge Competition. Since the accuracy of anemometers can be severely affected by the environmental factors such as icing and the tubular tower itself, in order to distinguish the cause due to anemometer failures from these factors, our methodologies start with eliminating irregular data (outliers under the influence of environmental factors. For paired data, the relation between the relative wind speed difference and the wind direction is extracted as an important feature to reflect normal or abnormal behaviors of paired anemometers. Decisions regarding the condition of paired anemometers are made by comparing the features extracted from training and test data. For shear data, a power law model is fitted using the preprocessed and normalized data, and the sum of the squared residuals (SSR is used to measure the health of an array of anemometers. Decisions are made by comparing the SSRs of training and test data. The performance of our proposed methods is evaluated through the competition website. As a final result, our team ranked the second place overall in both student and professional categories in this competition.

  1. Extraction and characterization of essential discharge patterns from multisite recordings of spiking ongoing activity.

    Directory of Open Access Journals (Sweden)

    Riccardo Storchi

    Full Text Available BACKGROUND: Neural activation patterns proceed often by schemes or motifs distributed across the involved cortical networks. As neurons are correlated, the estimate of all possible dependencies quickly goes out of control. The complex nesting of different oscillation frequencies and their high non-stationariety further hamper any quantitative evaluation of spiking network activities. The problem is exacerbated by the intrinsic variability of neural patterns. METHODOLOGY/PRINCIPAL FINDINGS: Our technique introduces two important novelties and enables to insulate essential patterns on larger sets of spiking neurons and brain activity regimes. First, the sampling procedure over N units is based on a fixed spike number k in order to detect N-dimensional arrays (k-sequences, whose sum over all dimension is k. Then k-sequences variability is greatly reduced by a hierarchical separative clustering, that assigns large amounts of distinct k-sequences to few classes. Iterative separations are stopped when the dimension of each cluster comes to be smaller than a certain threshold. As threshold tuning critically impacts on the number of classes extracted, we developed an effective cost criterion to select the shortest possible description of our dataset. Finally we described three indexes (C,S,R to evaluate the average pattern complexity, the structure of essential classes and their stability in time. CONCLUSIONS/SIGNIFICANCE: We validated this algorithm with four kinds of surrogated activity, ranging from random to very regular patterned. Then we characterized a selection of ongoing activity recordings. By the S index we identified unstable, moderatly and strongly stable patterns while by the C and the R indices we evidenced their non-random structure. Our algorithm seems able to extract interesting and non-trivial spatial dynamics from multisource neuronal recordings of ongoing and potentially stimulated activity. Combined with time-frequency analysis of

  2. Pattern representation in feature extraction and classifier design: matrix versus vector.

    Science.gov (United States)

    Wang, Zhe; Chen, Songcan; Liu, Jun; Zhang, Daoqiang

    2008-05-01

    The matrix, as an extended pattern representation to the vector, has proven to be effective in feature extraction. However, the subsequent classifier following the matrix-pattern- oriented feature extraction is generally still based on the vector pattern representation (namely, MatFE + VecCD), where it has been demonstrated that the effectiveness in classification just attributes to the matrix representation in feature extraction. This paper looks at the possibility of applying the matrix pattern representation to both feature extraction and classifier design. To this end, we propose a so-called fully matrixized approach, i.e., the matrix-pattern-oriented feature extraction followed by the matrix-pattern-oriented classifier design (MatFE + MatCD). To more comprehensively validate MatFE + MatCD, we further consider all the possible combinations of feature extraction (FE) and classifier design (CD) on the basis of patterns represented by matrix and vector respectively, i.e., MatFE + MatCD, MatFE + VecCD, just the matrix-pattern-oriented classifier design (MatCD), the vector-pattern-oriented feature extraction followed by the matrix-pattern-oriented classifier design (VecFE + MatCD), the vector-pattern-oriented feature extraction followed by the vector-pattern-oriented classifier design (VecFE + VecCD) and just the vector-pattern-oriented classifier design (VecCD). The experiments on the combinations have shown the following: 1) the designed fully matrixized approach (MatFE + MatCD) has an effective and efficient performance on those patterns with the prior structural knowledge such as images; and 2) the matrix gives us an alternative feasible pattern representation in feature extraction and classifier designs, and meanwhile provides a necessary validation for "ugly duckling" and "no free lunch" theorems.

  3. Global patterns in students' views of science and interest in science

    NARCIS (Netherlands)

    van Griethuijsen, Ralf A. L. F.; van Eijck, Michiel W.; Haste, Helen; den Brok, Perry J.; Skinner, Nigel C.; Mansour, Nasser; Gencer, Ayse Savran; BouJaoude, Saouma

    2015-01-01

    International studies have shown that interest in science and technology among primary and secondary school students in Western European countries is low and seems to be decreasing. In many countries outside Europe, and especially in developing countries, interest in science and technology remains

  4. Global patterns in students' views of science and interest in science

    NARCIS (Netherlands)

    van Griethuijsen, Ralf A. L. F.; van Eijck, Michiel W.; Haste, Helen; den Brok, Perry J.; Skinner, Nigel C.; Mansour, Nasser; Gencer, Ayse Savran; BouJaoude, Saouma

    2015-01-01

    International studies have shown that interest in science and technology among primary and secondary school students in Western European countries is low and seems to be decreasing. In many countries outside Europe, and especially in developing countries, interest in science and technology remains s

  5. Extracting Product Features and Opinion Words Using Pattern Knowledge in Customer Reviews

    Directory of Open Access Journals (Sweden)

    Su Su Htay

    2013-01-01

    Full Text Available Due to the development of e-commerce and web technology, most of online Merchant sites are able to write comments about purchasing products for customer. Customer reviews expressed opinion about products or services which are collectively referred to as customer feedback data. Opinion extraction about products from customer reviews is becoming an interesting area of research and it is motivated to develop an automatic opinion mining application for users. Therefore, efficient method and techniques are needed to extract opinions from reviews. In this paper, we proposed a novel idea to find opinion words or phrases for each feature from customer reviews in an efficient way. Our focus in this paper is to get the patterns of opinion words/phrases about the feature of product from the review text through adjective, adverb, verb, and noun. The extracted features and opinions are useful for generating a meaningful summary that can provide significant informative resource to help the user as well as merchants to track the most suitable choice of product.

  6. Unsupervised Learning of mDTD Extraction Patterns for Web Text Mining.

    Science.gov (United States)

    Kim, Dongseok; Jung, Hanmin; Lee, Gary Geunbae

    2003-01-01

    Presents a new extraction pattern, modified Document Type Definition (mDTD), which relies on analytical interpretation to identify extraction target from the contents of Web documents. Experiments with 330 Korean and 220 English Web documents on audio and video shopping sites yielded an average extraction precision of 91.3% for Korean and 81.9%…

  7. Biomedical Science Ph.D. Career Interest Patterns by Race/Ethnicity and Gender.

    Directory of Open Access Journals (Sweden)

    Kenneth D Gibbs

    Full Text Available Increasing biomedical workforce diversity remains a persistent challenge. Recent reports have shown that biomedical sciences (BMS graduate students become less interested in faculty careers as training progresses; however, it is unclear whether or how the career preferences of women and underrepresented minority (URM scientists change in manners distinct from their better-represented peers. We report results from a survey of 1500 recent American BMS Ph.D. graduates (including 276 URMs that examined career preferences over the course of their graduate training experiences. On average, scientists from all social backgrounds showed significantly decreased interest in faculty careers at research universities, and significantly increased interest in non-research careers at Ph.D. completion relative to entry. However, group differences emerged in overall levels of interest (at Ph.D. entry and completion, and the magnitude of change in interest in these careers. Multiple logistic regression showed that when controlling for career pathway interest at Ph.D. entry, first-author publication rate, faculty support, research self-efficacy, and graduate training experiences, differences in career pathway interest between social identity groups persisted. All groups were less likely than men from well-represented (WR racial/ethnic backgrounds to report high interest in faculty careers at research-intensive universities (URM men: OR 0.60, 95% CI: 0.36-0.98, p = 0.04; WR women: OR: 0.64, 95% CI: 0.47-0.89, p = 0.008; URM women: OR: 0.46, 95% CI: 0.30-0.71, p<0.001, and URM women were more likely than all other groups to report high interest in non-research careers (OR: 1.93, 95% CI: 1.28-2.90, p = 0.002. The persistence of disparities in the career interests of Ph.D. recipients suggests that a supply-side (or "pipeline" framing of biomedical workforce diversity challenges may limit the effectiveness of efforts to attract and retain the best and most

  8. Referral Pattern and Special Interests in Children and Adolescents with Asperger Syndrome: A Turkish Referred Sample

    Science.gov (United States)

    Tanidir, Canan; Mukaddes, Nahit M.

    2014-01-01

    Objectives: To investigate the most frequent reasons for referral, the most common special interests, age at first referral to a mental health service, and the age of diagnosis in children and adolescents with Asperger syndrome living in Turkey. Methods: This study includes 61 children and adolescents diagnosed with Asperger syndrome using…

  9. The Psychological and Vocational Interest Patterns of Donald Super and John Holland.

    Science.gov (United States)

    Weinrach, Stephen G.

    1996-01-01

    Super and Holland are the two most prominent theorists in the field of career development. This article offers a glimpse into the psychological make up of these theorists; it presents comparative data about the theorists' interests, values, and personalities based on the results of four psychometric instruments. (LSR)

  10. Referral Pattern and Special Interests in Children and Adolescents with Asperger Syndrome: A Turkish Referred Sample

    Science.gov (United States)

    Tanidir, Canan; Mukaddes, Nahit M.

    2014-01-01

    Objectives: To investigate the most frequent reasons for referral, the most common special interests, age at first referral to a mental health service, and the age of diagnosis in children and adolescents with Asperger syndrome living in Turkey. Methods: This study includes 61 children and adolescents diagnosed with Asperger syndrome using…

  11. Bladder tumours in children: An interesting case report of TCC with a partial inverted growth pattern.

    Science.gov (United States)

    El Rahman, Davide Abed; Salvo, Giuseppe; Palumbo, Carlotta; Rocco, Bernardo; Rocco, Francesco

    2014-09-30

    Bladder urothelial carcinoma is typically a disease of older individuals and rarely occurs below the age of 40 years. There is debate and uncertainty in the literature regarding the clinicopathologic and prognostic characteristics of bladder urothelial neoplasms in younger patients compared with older patients, although no consistent age criteria have been used to define "younger" age group categories. We report on a 16 years old girl with transitional cell carcinoma of the bladder with a partial inverted growth pattern who presented with gross hematuria. Ultrasonography revealed a papillary lesion in the bladder; cystoscopic evaluation showed a 15 mm papillary lesion with a thick stalk located in the left bladder wall. Pathologic evaluation of the specimen was reported as "low grade transitional cell carcinoma of the bladder with a partial inverted growth pattern".

  12. SA-Mot: a web server for the identification of motifs of interest extracted from protein loops.

    Science.gov (United States)

    Regad, Leslie; Saladin, Adrien; Maupetit, Julien; Geneix, Colette; Camproux, Anne-Claude

    2011-07-01

    The detection of functional motifs is an important step for the determination of protein functions. We present here a new web server SA-Mot (Structural Alphabet Motif) for the extraction and location of structural motifs of interest from protein loops. Contrary to other methods, SA-Mot does not focus only on functional motifs, but it extracts recurrent and conserved structural motifs involved in structural redundancy of loops. SA-Mot uses the structural word notion to extract all structural motifs from uni-dimensional sequences corresponding to loop structures. Then, SA-Mot provides a description of these structural motifs using statistics computed in the loop data set and in SCOP superfamily, sequence and structural parameters. SA-Mot results correspond to an interactive table listing all structural motifs extracted from a target structure and their associated descriptors. Using this information, the users can easily locate loop regions that are important for the protein folding and function. The SA-Mot web server is available at http://sa-mot.mti.univ-paris-diderot.fr.

  13. Automatic extraction of syntactic patterns for dependency parsing in noun phrase chunks

    Directory of Open Access Journals (Sweden)

    Mihaela Colhon

    2014-05-01

    Full Text Available In this article we present a method for automatic extraction of syntactic patterns that are used to develop a dependency parsing method. The patterns have been extracted from a corpus automatically annotated for tokens, sentences’ borders, parts of speech and noun phrases, and manually annotated for dependency relations between words. The evaluation shows promising results in the case of an order-free language.

  14. Electric vehicles performance estimation through a patterns extraction and classification methodology

    Science.gov (United States)

    Barré, Anthony; Suard, Frédéric; Gérard, Mathias; Riu, Delphine

    2015-01-01

    Direct estimation of battery performance is a major challenge as ageing process is a complex phenomenon not directly measurable. In this work a new methodology is provided to estimate global battery performances under real-life electric vehicle use. Such performances are estimated through battery signals patterns extraction. These signals patterns are used to identify physical degradation behavior of batteries. The analysis framework is composed of patterns extraction, clustering algorithms, summarizing data representation in the feature space of cluster distances and classification algorithms. This methodology is then applied on datasets, acquired from batteries used on electric vehicles, without controlled environmental conditions. The classification algorithm accuracy is studied on the obtained real data. The results suggest that battery signals patterns analysis provides an innovative technique for online estimation of the battery performance level. A detection of dysfunctions caused by ageing is also made, only based on battery signals pattern extracted during real vehicle accelerations.

  15. Extracting labeled topological patterns from samples of networks.

    Directory of Open Access Journals (Sweden)

    Christoph Schmidt

    Full Text Available An advanced graph theoretical approach is introduced that enables a higher level of functional interpretation of samples of directed networks with identical fixed pairwise different vertex labels that are drawn from a particular population. Compared to the analysis of single networks, their investigation promises to yield more detailed information about the represented system. Often patterns of directed edges in sample element networks are too intractable for a direct evaluation and interpretation. The new approach addresses the problem of simplifying topological information and characterizes such a sample of networks by finding its locatable characteristic topological patterns. These patterns, essentially sample-specific network motifs with vertex labeling, might represent the essence of the intricate topological information contained in all sample element networks and provides as well a means of differentiating network samples. Central to the accurateness of this approach is the null model and its properties, which is needed to assign significance to topological patterns. As a proof of principle the proposed approach has been applied to the analysis of networks that represent brain connectivity before and during painful stimulation in patients with major depression and in healthy subjects. The accomplished reduction of topological information enables a cautious functional interpretation of the altered neuronal processing of pain in both groups.

  16. Global image feature extraction using slope pattern spectra

    CSIR Research Space (South Africa)

    Toudjeu, IT

    2008-06-01

    Full Text Available of coffee beans. Granulometries were also used to estimate the dominant width of the white patterns in the X-ray images of welds [7]. Due to the computational load associated with the calculation of granulometries, Vincent [6], building on the work...

  17. Maritime Pattern Extraction from AIS Data Using a Genetic Algorithm

    NARCIS (Netherlands)

    Dobrkovic, Andrej; Iacob, Maria Eugenia; van Hillegersberg, Jos

    2016-01-01

    The long term prediction of maritime vessels' destinations and arrival times is essential for making an effective logistics planning. As ships are influenced by various factors over a long period of time, the solution cannot be achieved by analyzing sailing patterns of each entity separately.

  18. Lexico-syntactic and Semantic Patterns for Extracting Knowledge from Persian Texts

    Directory of Open Access Journals (Sweden)

    Mehnroush Shamsfard

    2010-09-01

    Full Text Available In recent years, knowledge extraction from texts is focused to overcome to bottleneck of building ontologies for semantic web. Pattern based, template driven and linguistic methods are among the successful approaches to extract ontological knowledge from raw texts. This paper introduces some lexico-syntactic and semantic patterns and templates for extracting conceptual knowledge from Persian texts. The described patterns are general and domain/ application independent and work at sentence level. They are used to extract taxonomic and non-taxonomic relations and axioms from phrasesand sentences. Among the introduced patterns and templates, semantic patterns are language independent and although linguistic (lexico-syntactic patterns are introduced for Persian language, they could easily be adopted to other languages such as English. This paper will first have a brief overview on linguistic and template driven methods to discover ontological knowledge from texts. Then the templates for Persian simple sentences will be introduced. The extracted relations may be hyponymy, meronymy, attribute/value, part-of, equivalency, etc. The introduced templates exploit semantic information to not onlyextract the instances of predefined relations (the concepts related by them, but also define new relations. In each case some examples of the experimental results will make the patterns clear.

  19. Political Parties and Interest Groups Members' Patterns of Social Network Site Usage in Kyrgyzstan

    Directory of Open Access Journals (Sweden)

    Elira Turdubaeva

    2014-11-01

    Full Text Available Kyrgyzstan, with a high level of political participation and an avant-garde position regarding internet access in Central Asia, broadband and social media penetration in the population, is a critical case for studying social network sites (SNSs in relation to political participation. This study analyzes the practices and attitudes of SNS users in Kyrgyzstan. Two types of users – members of political parties and members of interest organizations – are interviewed in focus groups about their practices and attitudes towards political content in the social network site Facebook. The findings indicate that, to some extent, the political engagement is indeed occurring within the Facebook environment, suggesting that the popular social networking sites (SNSs are an avenue for young people to express and share their political views. Facebook allowed users to share their political beliefs, support specific candidates, and interact with others on political issues. Participants’ perceptions regarding the appropriateness of political activity on Facebook, as well as the specific types of political activities they engaged in and witnessed within the site, were also explored.

  20. A Novel Feature Extraction for Robust EMG Pattern Recognition

    CERN Document Server

    Phinyomark, Angkoon; Phukpattaranont, Pornchai

    2009-01-01

    Varieties of noises are major problem in recognition of Electromyography (EMG) signal. Hence, methods to remove noise become most significant in EMG signal analysis. White Gaussian noise (WGN) is used to represent interference in this paper. Generally, WGN is difficult to be removed using typical filtering and solutions to remove WGN are limited. In addition, noise removal is an important step before performing feature extraction, which is used in EMG-based recognition. This research is aimed to present a novel feature that tolerate with WGN. As a result, noise removal algorithm is not needed. Two novel mean and median frequencies (MMNF and MMDF) are presented for robust feature extraction. Sixteen existing features and two novelties are evaluated in a noisy environment. WGN with various signal-to-noise ratios (SNRs), i.e. 20-0 dB, was added to the original EMG signal. The results showed that MMNF performed very well especially in weak EMG signal compared with others. The error of MMNF in weak EMG signal with...

  1. Motion Pattern Extraction and Event Detection for Automatic Visual Surveillance

    Directory of Open Access Journals (Sweden)

    Benabbas Yassine

    2011-01-01

    Full Text Available Efficient analysis of human behavior in video surveillance scenes is a very challenging problem. Most traditional approaches fail when applied in real conditions and contexts like amounts of persons, appearance ambiguity, and occlusion. In this work, we propose to deal with this problem by modeling the global motion information obtained from optical flow vectors. The obtained direction and magnitude models learn the dominant motion orientations and magnitudes at each spatial location of the scene and are used to detect the major motion patterns. The applied region-based segmentation algorithm groups local blocks that share the same motion direction and speed and allows a subregion of the scene to appear in different patterns. The second part of the approach consists in the detection of events related to groups of people which are merge, split, walk, run, local dispersion, and evacuation by analyzing the instantaneous optical flow vectors and comparing the learned models. The approach is validated and experimented on standard datasets of the computer vision community. The qualitative and quantitative results are discussed.

  2. EXTRACTING HUMAN BEHAVIORAL PATTERNS BY MINING GEO-SOCIAL NETWORKS

    Directory of Open Access Journals (Sweden)

    M. Forghani

    2014-10-01

    Full Text Available Accessibility of positioning technologies such as GPS offer the opportunity to store one’s travel experience and publish it on the web. Using this feature in web-based social networks and considering location information shared by users as a bridge connecting the users’ network to location information layer leads to the formation of Geo-Social Networks. The availability of large amounts of geographical and social data on these networks provides rich sources of information that can be utilized for studying human behavior through data analysis in a spatial-temporal-social context. This paper attempts to investigate the behavior of around 1150 users of Foursquare network by making use of their check-ins. The authors analyzed the metadata associated with the whereabouts of the users, with an emphasis on the type of places, to uncover patterns across different temporal and geographical scales for venue category usage. The authors found five groups of meaningful patterns that can explore region characteristics and recognize a number of major crowd behaviors that recur over time and space.

  3. Enhancement of light extraction efficiency of vertical LED with patterned graphene as current spreading layer

    Science.gov (United States)

    Singh, Sumitra; Sai Nandini, Annam Deepthi; Pal, Suchandan; Dhanavantri, Chenna

    2016-01-01

    In this paper we report an optimised pattern of surface textured graphene current spreading layer (CSL) for the enhancement of light extraction efficiency (LEE) in InGaN/GaN vertical light emitting diodes (V-LEDs). It is found that by texturing graphene surface LEE improves drastically. This improvement is attributed to better current spreading of graphene and increased random and multiple scattering of light through textured surfaces. Simulation results illustrate that V-LEDs with surface textured (hexagonal pattern) ITO as CSL shows threefold improvement in light extraction efficiency compared to V-LEDs with no surface texturing on ITO CSL. Further, LEE of V-LEDs having patterned graphene CSL is compared with that for indium tin oxide (ITO) CSL. V-LEDs with optimised hexagonal patterning on graphene CSL shows 13.42% enhancement of LEE compared to that of LED with hexagonal patterning on ITO surface.

  4. Bridge damage detection using spatiotemporal patterns extracted from dense sensor network

    Science.gov (United States)

    Liu, Chao; Gong, Yongqiang; Laflamme, Simon; Phares, Brent; Sarkar, Soumik

    2017-01-01

    The alarmingly degrading state of transportation infrastructures combined with their key societal and economic importance calls for automatic condition assessment methods to facilitate smart management of maintenance and repairs. With the advent of ubiquitous sensing and communication capabilities, scalable data-driven approaches is of great interest, as it can utilize large volume of streaming data without requiring detailed physical models that can be inaccurate and computationally expensive to run. Properly designed, a data-driven methodology could enable fast and automatic evaluation of infrastructures, discovery of causal dependencies among various sub-system dynamic responses, and decision making with uncertainties and lack of labeled data. In this work, a spatiotemporal pattern network (STPN) strategy built on symbolic dynamic filtering (SDF) is proposed to explore spatiotemporal behaviors in a bridge network. Data from strain gauges installed on two bridges are generated using finite element simulation for three types of sensor networks from a density perspective (dense, nominal, sparse). Causal relationships among spatially distributed strain data streams are extracted and analyzed for vehicle identification and detection, and for localization of structural degradation in bridges. Multiple case studies show significant capabilities of the proposed approach in: (i) capturing spatiotemporal features to discover causality between bridges (geographically close), (ii) robustness to noise in data for feature extraction, (iii) detecting and localizing damage via comparison of bridge responses to similar vehicle loads, and (iv) implementing real-time health monitoring and decision making work flow for bridge networks. Also, the results demonstrate increased sensitivity in detecting damages and higher reliability in quantifying the damage level with increase in sensor network density.

  5. A New Method to Extract Dorsal Hand Vein Pattern using Quadratic Inference Function

    Directory of Open Access Journals (Sweden)

    Maleika Heenaye- Mamode Khan

    2009-12-01

    Full Text Available Among all biometric, dorsal hand vein pattern is attracting the attention of researchers, of late. Extensive research is being carried out on various techniques in the hope of finding an efficient one which can be applied on dorsal hand vein pattern to improve its accuracy and matching time. One of the crucial step in biometric is the extraction of features. In this paper, we propose a method based on quadratic inference function to the dorsal hand vein features to extract its features. The biometric system developed was tested on a database of 100 images. The false acceptance rate (FAR, false rejection rate (FRR and the matching time are being computed.

  6. A New Method to Extract Dorsal Hand Vein Pattern using Quadratic Inference Function

    CERN Document Server

    Khan, Maleika Heenaye Mamode

    2010-01-01

    Among all biometric, dorsal hand vein pattern is attracting the attention of researchers, of late. Extensive research is being carried out on various techniques in the hope of finding an efficient one which can be applied on dorsal hand vein pattern to improve its accuracy and matching time. One of the crucial step in biometric is the extraction of features. In this paper, we propose a method based on quadratic inference function to the dorsal hand vein features to extract its features. The biometric system developed was tested on a database of 100 images. The false acceptance rate (FAR), false rejection rate (FRR) and the matching time are being computed.

  7. Automatic Authorship Detection Using Textual Patterns Extracted from Integrated Syntactic Graphs

    Science.gov (United States)

    Gómez-Adorno, Helena; Sidorov, Grigori; Pinto, David; Vilariño, Darnes; Gelbukh, Alexander

    2016-01-01

    We apply the integrated syntactic graph feature extraction methodology to the task of automatic authorship detection. This graph-based representation allows integrating different levels of language description into a single structure. We extract textual patterns based on features obtained from shortest path walks over integrated syntactic graphs and apply them to determine the authors of documents. On average, our method outperforms the state of the art approaches and gives consistently high results across different corpora, unlike existing methods. Our results show that our textual patterns are useful for the task of authorship attribution. PMID:27589740

  8. Characterization of Non-Anthocyanic Flavonoids in Some Hybrid Red Grape Extracts Potentially Interesting for Industrial Uses

    Directory of Open Access Journals (Sweden)

    Mirko De Rosso

    2015-10-01

    Full Text Available Previous studies showed that hybrid grapes often have qualitatively and quantitatively higher polyphenolic contents than the common V. vinifera grape varieties. In general, these compounds are studied for grape chemotaxonomy and for nutraceutical purposes due to their relevant antioxidant activity. Non-anthocyanic flavonoid composition of five red hybrid grape varieties produced by crossing of V. vinifera, V. aestivalis, V. cinerea, V. berlandieri, V. labrusca, V. lincecumii, and V. rupestris were studied by liquid chromatography/high-resolution mass spectrometry. Thirty-one compounds were identified, including methylnaringenin, a tetrahydroxy-dimethoxyflavanone-hexoside, two flavonols (quercetin and a pentahydroxyflavone isomer, 20 glycoside flavonols (four quercetin, two myricetin, two kaempferol, three isorhamnetin, one laricitrin, two syringetin, one kaempferide and two dihydroflavonol derivatives; myricetin-glucoside-glucuronide; myricetin-diglucoside; syringetin-dihexoside, three flavan-3-ols (−-epicatechin, (+-catechin, (−-epicatechin gallate and four proantocyanidins (procyanidin B1, procyanidin B2, procyanidin B3 or B4/B5, procyanidin T2 or T3/T4/C1. Seibel 19881, Seyve Villard 12-347 and Seyve Villard 29-399 were particularly rich in polyphenols. These findings emphasize that these grapes are especially interesting for the production of antioxidant extracts for nutraceutical and pharmaceutical uses.

  9. Skeleton extraction and phase interpolation for single ESPI fringe pattern based on the partial differential equations.

    Science.gov (United States)

    Zhang, Fang; Wang, Danyu; Xiao, Zhitao; Geng, Lei; Wu, Jun; Xu, Zhenbei; Sun, Jiao; Wang, Jinjiang; Xi, Jiangtao

    2015-11-16

    A novel phase extraction method for single electronic speckle pattern interferometry (ESPI) fringes is proposed. The partial differential equations (PDEs) are used to extract the skeletons of the gray-scale fringe and to interpolate the whole-field phase values based on skeleton map. Firstly, the gradient vector field (GVF) of the initial fringe is adjusted by an anisotropic PDE. Secondly, the skeletons of the fringe are extracted combining the divergence property of the adjusted GVF. After assigning skeleton orders, the whole-field phase information is interpolated by the heat conduction equation. The validity of the proposed method is verified by computer-simulated and experimentally obtained poor-quality ESPI fringe patterns.

  10. submitter Light Extraction From Scintillating Crystals Enhanced by Photonic Crystal Structures Patterned by Focused Ion Beam

    CERN Document Server

    Modrzynski, Pawel; Knapitsch, Arno; Kunicki, Piotr; Lecoq, Paul; Moczala, Magdalena; Papakonstantinou, Ioannis; Auffray, Etiennette

    2016-01-01

    “Photonic Crystals (PhC)” have been used in a variety of fields as a structure for improving the light extraction efficiency from materials with high index of refraction. In previous work we already showed the light extraction improvement of several PhC covered LYSO crystals in computer simulations and practical measurements. In this work, new samples are made using different materials and techniques which allows further efficiency improvements. For rapid prototyping of PhC patterns on scintillators we tested a new method using “Focused Ion Beam (FIB)” patterning. The FIB machine is a device similar to a “Scanning Electron Microscope (SEM)”, but it uses ions (mainly gallium) instead of electrons for the imaging of the samples' surface. The additional feature of FIB devices is the option of surface patterning in nano-scale which was exploited for our samples. Three samples using FIB patterning have been produced. One of them is a direct patterning of the extraction face of a 0.8×0.8×10 $mm^3$ LYS...

  11. Susceptibility pattern of Malassezia species to selected plant extracts and antifungal agents

    Directory of Open Access Journals (Sweden)

    G Sibi

    2014-01-01

    Full Text Available Objective: Malassezia is associated with dandruff, seborrhoeic dermatitis, pityriasis versicolor folliculitis and atopic eczema. This study determined the susceptibility pattern of Malassezia furfur, M. globosa, M. obtusa, M. restricta, M. slooffiae and M. sympodialis isolated from patients diagnosed with dandruff against plant extracts and antifungal agents. Materials and Methods: Twenty aqueous plant extracts and five azole drugs were tested against the isolates by well diffusion and broth dilution method. Results: Among the plant extracts, Phyllanthus emblica (fruits, Hibiscus rosa sinensis (flowers and Acacia concinna (pods have demonstrated significant antidandruff activity. Minimum inhibitory concentration values revealed that ketoconazole as the most effective drug followed by itraconazole. Conclusion: M. furfur and M. globosa were found as the most susceptible organisms against the aqueous extracts of Phyllanthus emblica (fruits, Hibiscus rosa sinensis (flowers, Acacia concinna (pods and azole drugs.

  12. Emergent patterns in the regulation of pharmaceuticals: institutions and interests in the United States, Canada, Britain, and France.

    Science.gov (United States)

    Wiktorowicz, Mary E

    2003-08-01

    Although industrialized nations regulate pharmaceuticals to ensure their safety and efficacy, they balance these concerns with those related to the timeliness of the approval process and the burdens involved in meeting regulatory criteria. The United States, Canada, Britain, and France have adopted different approaches to the regulation of pharmaceuticals that place varying emphases on these competing goals and involve the participation of private interests to different extents. The regulatory approval processes and the government-industry relationships inherent within them are compared in the United States, Canada, Britain, and France by analyzing five features that distinguish the U.S. pluralist from the European corporatist approaches to policy development: representation (internal versus external), process (closed versus open), stance (informal, accommodative versus formal, adversarial), institutional power (fragmented versus centralized), and resources. An institutional framework further characterizes these approaches as based on models of managerial discretion and adjudication (United States), consultation (Canada), and bargaining (Britain, France) to clarify the patterns that emerge. While the approach that most effectively supports product safety involves managerial discretion as occurs in the United States, formal mechanisms for negotiation might be incorporated rather than a reliance on the judicial process. In an era of globalization and regulatory harmonization such divergence has significant implications. First, where harmonization in Europe involves the mutual recognition of one country's product licensing decision by the others, differences in evaluative processes remain important. Second, as harmonization leads to a common set of regulatory criteria, the criteria adopted tend to be those of nations with the least stringent regulatory standards, making evident the need for more responsive systems of post-market surveillance to protect the public

  13. The image enhancement and region of interest extraction of lobster-eye X-ray dangerous material inspection system

    Science.gov (United States)

    Zhan, Qi; Wang, Xin; Mu, Baozhong; Xu, Jie; Xie, Qing; Li, Yaran; Chen, Yifan; He, Yanan

    2016-10-01

    Dangerous materials inspection is an important technique to confirm dangerous materials crimes. It has significant impact on the prohibition of dangerous materials-related crimes and the spread of dangerous materials. Lobster-Eye Optical Imaging System is a kind of dangerous materials detection device which mainly takes advantage of backscatter X-ray. The strength of the system is its applicability to access only one side of an object, and to detect dangerous materials without disturbing the surroundings of the target material. The device uses Compton scattered x-rays to create computerized outlines of suspected objects during security detection process. Due to the grid structure of the bionic object glass, which imitate the eye of a lobster, grids contribute to the main image noise during the imaging process. At the same time, when used to inspect structured or dense materials, the image is plagued by superposition artifacts and limited by attenuation and noise. With the goal of achieving high quality images which could be used for dangerous materials detection and further analysis, we developed effective image process methods applied to the system. The first aspect of the image process is the denoising and enhancing edge contrast process, during the process, we apply deconvolution algorithm to remove the grids and other noises. After image processing, we achieve high signal-to-noise ratio image. The second part is to reconstruct image from low dose X-ray exposure condition. We developed a kind of interpolation method to achieve the goal. The last aspect is the region of interest (ROI) extraction process, which could be used to help identifying dangerous materials mixed with complex backgrounds. The methods demonstrated in the paper have the potential to improve the sensitivity and quality of x-ray backscatter system imaging.

  14. Robust Speech Recognition Using Temporal Pattern Feature Extracted From MTMLP Structure

    Directory of Open Access Journals (Sweden)

    Yasser Shekofteh

    2014-10-01

    Full Text Available Temporal Pattern feature of a speech signal could be either extracted from the time domain or via their front-end vectors. This feature includes long-term information of variations in the connected speech units. In this paper, the second approach is followed, i.e. the features which are the cases of temporal computations, consisting of Spectral-based (LFBE and Cepstrum-based (MFCC feature vectors, are considered. To extract these features, we use posterior probability-based output of the proposed MTMLP neural networks. The combination of the temporal patterns, which represents the long-term dynamics of the speech signal, together with some traditional features, composed of the MFCC and its first and second derivatives are evaluated in an ASR task. It is shown that the use of such a combined feature vector results in the increase of the phoneme recognition accuracy by more than 1 percent regarding the results of the baseline system, which does not benefit from the long-term temporal patterns. In addition, it is shown that the use of extracted features by the proposed method gives robust recognition under different noise conditions (by 13 percent and, therefore, the proposed method is a robust feature extraction method.

  15. Extracting multiscale pattern information of fMRI based functional brain connectivity with application on classification of autism spectrum disorders.

    Directory of Open Access Journals (Sweden)

    Hui Wang

    Full Text Available We employed a multi-scale clustering methodology known as "data cloud geometry" to extract functional connectivity patterns derived from functional magnetic resonance imaging (fMRI protocol. The method was applied to correlation matrices of 106 regions of interest (ROIs in 29 individuals with autism spectrum disorders (ASD, and 29 individuals with typical development (TD while they completed a cognitive control task. Connectivity clustering geometry was examined at both "fine" and "coarse" scales. At the coarse scale, the connectivity clustering geometry produced 10 valid clusters with a coherent relationship to neural anatomy. A supervised learning algorithm employed fine scale information about clustering motif configurations and prevalence, and coarse scale information about intra- and inter-regional connectivity; the algorithm correctly classified ASD and TD participants with sensitivity of 82.8% and specificity of 82.8%. Most of the predictive power of the logistic regression model resided at the level of the fine-scale clustering geometry, suggesting that cellular versus systems level disturbances are more prominent in individuals with ASD. This article provides validation for this multi-scale geometric approach to extracting brain functional connectivity pattern information and for its use in classification of ASD.

  16. Extracting multiscale pattern information of fMRI based functional brain connectivity with application on classification of autism spectrum disorders.

    Science.gov (United States)

    Wang, Hui; Chen, Chen; Fushing, Hsieh

    2012-01-01

    We employed a multi-scale clustering methodology known as "data cloud geometry" to extract functional connectivity patterns derived from functional magnetic resonance imaging (fMRI) protocol. The method was applied to correlation matrices of 106 regions of interest (ROIs) in 29 individuals with autism spectrum disorders (ASD), and 29 individuals with typical development (TD) while they completed a cognitive control task. Connectivity clustering geometry was examined at both "fine" and "coarse" scales. At the coarse scale, the connectivity clustering geometry produced 10 valid clusters with a coherent relationship to neural anatomy. A supervised learning algorithm employed fine scale information about clustering motif configurations and prevalence, and coarse scale information about intra- and inter-regional connectivity; the algorithm correctly classified ASD and TD participants with sensitivity of 82.8% and specificity of 82.8%. Most of the predictive power of the logistic regression model resided at the level of the fine-scale clustering geometry, suggesting that cellular versus systems level disturbances are more prominent in individuals with ASD. This article provides validation for this multi-scale geometric approach to extracting brain functional connectivity pattern information and for its use in classification of ASD.

  17. A Narrative Methodology to Recognize Iris Patterns By Extracting Features Using Gabor Filters and Wavelets

    Directory of Open Access Journals (Sweden)

    Shristi Jha

    2016-01-01

    Full Text Available Iris pattern Recognition is an automated method of biometric identification that uses mathematical pattern-Recognition techniques on images of one or both of the irises of an individual’s eyes, whose complex random patterns are unique, stable, and can be seen from some distance. Iris recognition uses video camera technology with subtle near infrared illumination to acquire images of the detail-rich, intricate structures of the iris which are visible externally. In this narrative research paper the input image is captured and the success of the iris recognition depends on the quality of the image so the captured image is subjected to the preliminary image preprocessing techniques like localization, segmentation, normalization and noise detection followed by texture and edge feature extraction by using Gabor filters and wavelets then the processed image is matched with templates stored in the database to detect the Iris Patterns.

  18. Developing a complex independent component analysis technique to extract non-stationary patterns from geophysical time-series

    Science.gov (United States)

    Forootan, Ehsan; Kusche, Jürgen

    2016-04-01

    Geodetic/geophysical observations, such as the time series of global terrestrial water storage change or sea level and temperature change, represent samples of physical processes and therefore contain information about complex physical interactionswith many inherent time scales. Extracting relevant information from these samples, for example quantifying the seasonality of a physical process or its variability due to large-scale ocean-atmosphere interactions, is not possible by rendering simple time series approaches. In the last decades, decomposition techniques have found increasing interest for extracting patterns from geophysical observations. Traditionally, principal component analysis (PCA) and more recently independent component analysis (ICA) are common techniques to extract statistical orthogonal (uncorrelated) and independent modes that represent the maximum variance of observations, respectively. PCA and ICA can be classified as stationary signal decomposition techniques since they are based on decomposing the auto-covariance matrix or diagonalizing higher (than two)-order statistical tensors from centered time series. However, the stationary assumption is obviously not justifiable for many geophysical and climate variables even after removing cyclic components e.g., the seasonal cycles. In this paper, we present a new decomposition method, the complex independent component analysis (CICA, Forootan, PhD-2014), which can be applied to extract to non-stationary (changing in space and time) patterns from geophysical time series. Here, CICA is derived as an extension of real-valued ICA (Forootan and Kusche, JoG-2012), where we (i) define a new complex data set using a Hilbert transformation. The complex time series contain the observed values in their real part, and the temporal rate of variability in their imaginary part. (ii) An ICA algorithm based on diagonalization of fourth-order cumulants is then applied to decompose the new complex data set in (i

  19. Design patterns for the development of electronic health record-driven phenotype extraction algorithms.

    Science.gov (United States)

    Rasmussen, Luke V; Thompson, Will K; Pacheco, Jennifer A; Kho, Abel N; Carrell, David S; Pathak, Jyotishman; Peissig, Peggy L; Tromp, Gerard; Denny, Joshua C; Starren, Justin B

    2014-10-01

    Design patterns, in the context of software development and ontologies, provide generalized approaches and guidance to solving commonly occurring problems, or addressing common situations typically informed by intuition, heuristics and experience. While the biomedical literature contains broad coverage of specific phenotype algorithm implementations, no work to date has attempted to generalize common approaches into design patterns, which may then be distributed to the informatics community to efficiently develop more accurate phenotype algorithms. Using phenotyping algorithms stored in the Phenotype KnowledgeBase (PheKB), we conducted an independent iterative review to identify recurrent elements within the algorithm definitions. We extracted and generalized recurrent elements in these algorithms into candidate patterns. The authors then assessed the candidate patterns for validity by group consensus, and annotated them with attributes. A total of 24 electronic Medical Records and Genomics (eMERGE) phenotypes available in PheKB as of 1/25/2013 were downloaded and reviewed. From these, a total of 21 phenotyping patterns were identified, which are available as an online data supplement. Repeatable patterns within phenotyping algorithms exist, and when codified and cataloged may help to educate both experienced and novice algorithm developers. The dissemination and application of these patterns has the potential to decrease the time to develop algorithms, while improving portability and accuracy. Copyright © 2014 Elsevier Inc. All rights reserved.

  20. Focal-plane CMOS wavelet feature extraction for real-time pattern recognition

    Science.gov (United States)

    Olyaei, Ashkan; Genov, Roman

    2005-09-01

    Kernel-based pattern recognition paradigms such as support vector machines (SVM) require computationally intensive feature extraction methods for high-performance real-time object detection in video. The CMOS sensory parallel processor architecture presented here computes delta-sigma (ΔΣ)-modulated Haar wavelet transform on the focal plane in real time. The active pixel array is integrated with a bank of column-parallel first-order incremental oversampling analog-to-digital converters (ADCs). Each ADC performs distributed spatial focal-plane sampling and concurrent weighted average quantization. The architecture is benchmarked in SVM face detection on the MIT CBCL data set. At 90% detection rate, first-level Haar wavelet feature extraction yields a 7.9% reduction in the number of false positives when compared to classification with no feature extraction. The architecture yields 1.4 GMACS simulated computational throughput at SVGA imager resolution at 8-bit output depth.

  1. Interesting Interest Points

    DEFF Research Database (Denmark)

    Aanæs, Henrik; Dahl, Anders Lindbjerg; Pedersen, Kim Steenstrup

    2012-01-01

    on spatial invariance of interest points under changing acquisition parameters by measuring the spatial recall rate. The scope of this paper is to investigate the performance of a number of existing well-established interest point detection methods. Automatic performance evaluation of interest points is hard......Not all interest points are equally interesting. The most valuable interest points lead to optimal performance of the computer vision method in which they are employed. But a measure of this kind will be dependent on the chosen vision application. We propose a more general performance measure based...... position. The LED illumination provides the option for artificially relighting the scene from a range of light directions. This data set has given us the ability to systematically evaluate the performance of a number of interest point detectors. The highlights of the conclusions are that the fixed scale...

  2. Fully automated extraction and analysis of surface Urban Heat Island patterns from moderate resolution satellite images

    Science.gov (United States)

    Keramitsoglou, I.; Kiranoudis, C. T.

    2012-04-01

    Comparison of thermal patterns across different cities is hampered by the lack of an appropriate methodology to extract the patterns and characterize them. What is more, increased attention by the urban climate community has been expressed to assess the magnitude and dynamics of the surface Urban Heat Island effect and to identify environmental impacts of large cities and "megacities". Motivated by this need, we propose an innovative object-based image analysis procedure to extract thermal patterns for the quantitative analysis of satellite-derived land surface temperature maps. The spatial and thermal attributes associated with these objects are then calculated and used for the analyses of the intensity, the position and the spatial extent of SUHIs. The output eventually builds up and populates a database with comparable and consistent attributes, allowing comparisons between cities as well as urban climate studies. The methodology is demonstrated over the Greater Athens Area, Greece, with more than 3000 LST images acquired by MODIS over a decade being analyzed. The approach can be potentially applied to current and future (e.g. Sentinel-3) level-2 satellite-derived land surface temperature maps of 1km spatial resolution acquired over continental and coastal cities.

  3. A Scheme of sEMG Feature Extraction for Improving Myoelectric Pattern Recognition

    Institute of Scientific and Technical Information of China (English)

    Shuai Ding; Liang Wang

    2016-01-01

    This paper proposed a feature extraction scheme based on sparse representation considering the non⁃stationary property of surface electromyography ( sEMG ) . Sparse Bayesian Learning ( SBL ) algorithm was introduced to extract the feature with optimal class separability to improve recognition accuracies of multi⁃movement patterns. The SBL algorithm exploited the compressibility ( or weak sparsity) of sEMG signal in some transformed domains. The proposed feature extracted by using the SBL algorithm was named SRC. The feature SRC represented time⁃varying characteristics of sEMG signal very effectively. We investigated the effect of the feature SRC by comparing with other fourteen individual features and eighteen multi⁃feature sets in offline recognition. The results demonstrated the feature SRC revealed the important dynamic information in the sEMG signals. And the multi⁃feature sets formed by the feature SRC and other single features yielded more superior performance on recognition accuracy. The best average recognition accuracy of 91. 67% was gained by using SVM classifier with the multi⁃feature set combining the feature SRC and the feature wavelength ( WL ) . The proposed feature extraction scheme is promising for multi⁃movement recognition with high accuracy.

  4. Historical Patterns Based on Automatically Extracted Data: the Case of Classical Composers

    DEFF Research Database (Denmark)

    Borowiecki, Karol; O'Hagan, John

    2012-01-01

    application that automatically extracts and processes information was developed to generate data on the birth location, occupations and importance (using word count methods) of over 12,000 composers over six centuries. Quantitative measures of the relative importance of different types of music...... and of the different music instruments over the centuries were also generated. Finally quantitative indicators of the importance of different cities over the different centuries in the lives of these composers are constructed. A range of interesting findings emerge in relation to all of these aspects of the lives...

  5. Developing Algorithms to Improve Defect Extraction and Suppressing Undesired Heat Patterns in Sonic IR Images

    Science.gov (United States)

    Obeidat, Omar; Yu, Qiuye; Han, Xiaoyan

    2016-12-01

    Sonic IR imaging is an emerging NDE technology. This technology uses short pulses of ultrasonic excitation together with infrared imaging to detect defects in materials and structures. Sonic energy is coupled to the specimen under inspection by means of direct contact between the transducer tip and the specimen at some convenient point. This region which is normally in the field of view of the camera appears as intensity peak in the image which might be misinterpreted as defects or obscure the detection and/or extraction of the defect signals in the proximity of the contact region. Moreover, certain defects may have very small heat signature or being buried in noise. In this paper, we present algorithms to improve defect extraction and suppression of undesired heat patterns in sonic IR images. Two approaches are presented, each fits to a specific category of sonic IR images.

  6. Pattern of Refractive Correction and Timing of Stage II IOL Implantation after Congenital Cataract Extraction

    Institute of Scientific and Technical Information of China (English)

    Yan Li; Haotian Lin

    2014-01-01

    Congenital cataract occurs during infancy when the axial length and corneal and visual function are in the sensitive stages of rapid development..Inappropriate surgical interven-tion not only fails to restore visual function,.but also causes irreversible serious influences upon eyeball development in children diagnosed with congenital cataract. At present, the uncertainty of selection of intraocular lens (IOL) degrees dur-ing the eyeball development period is averted by using a main treatment of congenital cataract that includes two -stage surgery:.stage I cataract extraction and stage II IOL implanta-tion. However, the accurate selection of a refractive correction method and the timing of IOL implantation during stage II surgery for aphakic eyes remains controversial following stage I cataract extraction..This review retrospectively summarizes the current progress and existing problems indicated by related recent studies focusing on refractive correction pattern and IOL implantation timing.

  7. Pattern of refractive correction and timing of stage II IOL implantation after congenital cataract extraction.

    Science.gov (United States)

    Li, Yan; Lin, Haotian

    2014-12-01

    Congenital cataract occurs during infancy when the axial length and corneal and visual function are in the sensitive stages of rapid development. Inappropriate surgical intervention not only fails to restore visual function, but also causes irreversible serious influences upon eyeball development in children diagnosed with congenital cataract. At present, the uncertainty of selection of intraocular lens (IOL) degrees during the eyeball development period is averted by using a main treatment of congenital cataract that includes two-stage surgery: stage I cataract extraction and stage II IOL implantation. However, the accurate selection of a refractive correction method and the timing of IOL implantation during stage II surgery for aphakic eyes remains controversial following stage I cataract extraction. This review retrospectively summarizes the current progress and existing problems indicated by related recent studies focusing on refractive correction pattern and IOL implantation timing.

  8. Phase extraction from two phase-shifting fringe patterns using spatial-temporal fringes method.

    Science.gov (United States)

    Zhu, Ronggang; Li, Bo; Zhu, Rihong; He, Yong; Li, Jianxin

    2016-04-04

    Phase extraction from phase-shifting fringe patterns with unknown phase shift values is a valuable but challenging task, especially when there are only two frames of fringes. In this paper, a phase demodulation method based on the spatial-temporal fringes (STF) method is proposed, where two phase shift fringes with linear carrier are fused into one STF image, and then the measured phase can be extracted from its frequency spectrum. The algorithm is deduced by extending the traditional STF theory with at least three frames of fringes to the two frames case. In the simulations, its performance is compared with the classical Fourier Transform method, and the different carrier and phase step conditions are analyzed where the accuracy can be ensured in most cases. The algorithm is also validated by the experiment, where the reliable result can be given even if the phase shift changes within a wide range.

  9. A NOVEL WRAPPING CURVELET TRANSFORMATION BASED ANGULAR TEXTURE PATTERN (WCTATP EXTRACTION METHOD FOR WEED IDENTIFICATION

    Directory of Open Access Journals (Sweden)

    D. Ashok Kumar

    2016-02-01

    Full Text Available Apparently weed is a major menace in crop production as it competes with crop for nutrients, moisture, space and light which resulting in poor growth and development of the crop and finally yield. Yield loss accounts for even more than 70% when crops are frown under unweeded condition with severe weed infestation. Weed management is the most significant process in the agricultural applications to improve the crop productivity rate and reduce the herbicide application cost. Existing weed detection techniques does not yield better performance due to the complex background, illumination variation and crop and weed overlapping in the agricultural field image. Hence, there arises a need for the development of effective weed identification technique. To overcome this drawback, this paper proposes a novel Wrapping Curvelet Transformation Based Angular Texture Pattern Extraction Method (WCTATP for weed identification. In our proposed work, Global Histogram Equalization (GHE is used improve the quality of the image and Adaptive Median Filter (AMF is used for filtering the impulse noise from the image. Plant image identification is performed using green pixel extraction and k-means clustering. Wrapping Curvelet transform is applied to the plant image. Feature extraction is performed to extract the angular texture pattern of the plant image. Particle Swarm Optimization (PSO based Differential Evolution Feature Selection (DEFS approach is applied to select the optimal features. Then, the selected features are learned and passed through an RVM based classifier to find out the weed. Edge detection and contouring is performed to identify the weed in the plant image. The Fuzzy rule-based approach is applied to detect the low, medium and high levels of the weed patchiness. From the experimental results, it is clearly observed that the accuracy of the proposed approach is higher than the existing Support Vector Machine (SVM based approaches. The proposed approach

  10. Where am I? Location archetype keyword extraction from urban mobility patterns.

    Science.gov (United States)

    Kostakos, Vassilis; Juntunen, Tomi; Goncalves, Jorge; Hosio, Simo; Ojala, Timo

    2013-01-01

    Can online behaviour be used as a proxy for studying urban mobility? The increasing availability of digital mobility traces has provided new insights into collective human behaviour. Mobility datasets have been shown to be an accurate proxy for daily behaviour and social patterns, and behavioural data from Twitter has been used to predict real world phenomena such as cinema ticket sale volumes, stock prices, and disease outbreaks. In this paper we correlate city-scale urban traffic patterns with online search trends to uncover keywords describing the pedestrian traffic location. By analysing a 3-year mobility dataset we show that our approach, called Location Archetype Keyword Extraction (LAKE), is capable of uncovering semantically relevant keywords for describing a location. Our findings demonstrate an overarching relationship between online and offline collective behaviour, and allow for advancing analysis of community-level behaviour by using online search keywords as a practical behaviour proxy.

  11. Where am I? Location archetype keyword extraction from urban mobility patterns.

    Directory of Open Access Journals (Sweden)

    Vassilis Kostakos

    Full Text Available Can online behaviour be used as a proxy for studying urban mobility? The increasing availability of digital mobility traces has provided new insights into collective human behaviour. Mobility datasets have been shown to be an accurate proxy for daily behaviour and social patterns, and behavioural data from Twitter has been used to predict real world phenomena such as cinema ticket sale volumes, stock prices, and disease outbreaks. In this paper we correlate city-scale urban traffic patterns with online search trends to uncover keywords describing the pedestrian traffic location. By analysing a 3-year mobility dataset we show that our approach, called Location Archetype Keyword Extraction (LAKE, is capable of uncovering semantically relevant keywords for describing a location. Our findings demonstrate an overarching relationship between online and offline collective behaviour, and allow for advancing analysis of community-level behaviour by using online search keywords as a practical behaviour proxy.

  12. In situ genomic DNA extraction for PCR analysis of regions of interest in four plant species and one filamentous fungi

    Directory of Open Access Journals (Sweden)

    Luis E. Rojas

    2014-07-01

    Full Text Available The extraction methods of genomic DNA are usually laborious and hazardous to human health and the environment by the use of organic solvents (chloroform and phenol. In this work a protocol for in situ extraction of genomic DNA by alkaline lysis is validated. It was used in order to amplify regions of DNA in four species of plants and fungi by polymerase chain reaction (PCR. From plant material of Saccharum officinarum L., Carica papaya L. and Digitalis purpurea L. it was possible to extend different regions of the genome through PCR. Furthermore, it was possible to amplify a fragment of avr-4 gene DNA purified from lyophilized mycelium of Mycosphaerella fijiensis. Additionally, it was possible to amplify the region ap24 transgene inserted into the genome of banana cv. `Grande naine' (Musa AAA. Key words: alkaline lysis, Carica papaya L., Digitalis purpurea L., Musa, Saccharum officinarum L.

  13. The Fractal Patterns of Words in a Text: A Method for Automatic Keyword Extraction.

    Science.gov (United States)

    Najafi, Elham; Darooneh, Amir H

    2015-01-01

    A text can be considered as a one dimensional array of words. The locations of each word type in this array form a fractal pattern with certain fractal dimension. We observe that important words responsible for conveying the meaning of a text have dimensions considerably different from one, while the fractal dimensions of unimportant words are close to one. We introduce an index quantifying the importance of the words in a given text using their fractal dimensions and then ranking them according to their importance. This index measures the difference between the fractal pattern of a word in the original text relative to a shuffled version. Because the shuffled text is meaningless (i.e., words have no importance), the difference between the original and shuffled text can be used to ascertain degree of fractality. The degree of fractality may be used for automatic keyword detection. Words with the degree of fractality higher than a threshold value are assumed to be the retrieved keywords of the text. We measure the efficiency of our method for keywords extraction, making a comparison between our proposed method and two other well-known methods of automatic keyword extraction.

  14. Pattern Analysis and Signature Extraction for Intrusion Attacks on Web Services

    Directory of Open Access Journals (Sweden)

    Urjita Thakar

    2010-07-01

    Full Text Available The increasing popularity of web service technology is attracting hackers and attackers to hack the webservices and the servers on which they run. Organizations are therefore facing the challenge ofimplementing adequate security for Web Services. A major threat is that of intruders which maymaliciously try to access the data or services. The automated methods of signature extraction extract thebinary pattern blindly resulting in more false positives. In this paper a semi automated approach isproposed to analyze the attacks and generate signatures for web services. For data collection, apart fromthe conventional SOAP data loggers, honeypots are also used that collect small data which is of high value.To filter out the most suspicious part of the data, SVM based classifier is employed to aid the systemadministrator. By applying an attack signature algorithm on the filtered data, a more balanced attacksignature is extracted that results in fewer false positives and negatives. It helps the Security Administratorto identify the web services that are vulnerable or are attacked more frequently.

  15. Residuals of autoregressive model providing additional information for feature extraction of pattern recognition-based myoelectric control.

    Science.gov (United States)

    Pan, Lizhi; Zhang, Dingguo; Sheng, Xinjun; Zhu, Xiangyang

    2015-01-01

    Myoelectric control based on pattern recognition has been studied for several decades. Autoregressive (AR) features are one of the mostly used feature extraction methods among myoelectric control studies. Almost all previous studies only used the AR coefficients without the residuals of AR model for classification. However, the residuals of AR model contain important amplitude information of the electromyography (EMG) signals. In this study, we added the residuals to the AR features (AR+re) and compared its performance with the classical sixth-order AR coefficients. We tested six unilateral transradial amputees and eight able-bodied subjects for eleven hand and wrist motions. The classification accuracy (CA) of the intact side for amputee subjects and the right hand for able-bodied subjects showed that the CA of AR+re features was slightly but significantly higher than that of classical AR features (p = 0.009), which meant that residuals could provide additional information to classical AR features for classification. Interestingly, the CA of the affected side for amputee subjects showed that there was no significant difference between the CA of AR+re features and classical AR features (p > 0.05). We attributed this to the fact that the amputee subjects could not use their affected side to produce consistent EMG patterns as their intact side or the dominant hand of the able-bodied subjects. Since the residuals were already available when the AR coefficients were computed, the results of this study suggested adding the residuals to classical AR features to potentially improve the performance of pattern recognition-based myoelectric control.

  16. Understanding flood-induced water chemistry variability extracting temporal patterns with the LDA method

    Science.gov (United States)

    Aubert, A. H.; Tavenard, R.; Emonet, R.; De Lavenne, A.; Malinowski, S.; Guyet, T.; Quiniou, R.; Odobez, J.; Merot, P.; Gascuel-odoux, C.

    2013-12-01

    Studying floods has been a major issue in hydrological research for years, both in quantitative and qualitative hydrology. Stream chemistry is a mix of solutes, often used as tracers, as they originate from various sources in the catchment and reach the stream by various flow pathways. Previous studies (for instance (1)) hypothesized that stream chemistry reaction to a rainfall event is not unique but varies seasonally, and according to the yearly meteorological conditions. Identifying a typology of flood temporal chemical patterns is a way to better understand catchment processes at the flood and seasonal time scale. We applied a probabilistic model (Latent Dirichlet Allocation or LDA (2)) mining recurrent sequential patterns from a dataset of floods. A set of 472 floods was automatically extracted from a daily 12-year long record of nitrate, dissolved organic carbon, sulfate and chloride concentrations. Rainfall, discharge, water table depth and temperature are also considered. Data comes from a long-term hydrological observatory (AgrHys, western France) located at Kervidy-Naizin. From each flood, a document has been generated that is made of a set of "hydrological words". Each hydrological word corresponds to a measurement: it is a triplet made of the considered variable, the time at which the measurement is made (relative to the beginning of the flood), and its magnitude (that can be low, medium or high). The documents and the number of pattern to be mined are used as input data to the LDA algorithm. LDA relies on spotting co-occurrences (as an alternative to the more traditional study of correlation) between words that appear within the flood documents. It has two nice properties that are its ability to easily deal with missing data and its additive property that allows a document to be seen as a mixture of several flood patterns. The output of LDA is a set of patterns easily represented in graphics. These patterns correspond to typical reactions to rainfall

  17. Extraction Pattern of Arsenic Species with Mineral Composition in Contaminated Soils in Korea

    Science.gov (United States)

    Park, M.; Shin, M.; Yoon, H.; Kim, Y.; Kim, K.; Ko, I.

    2006-12-01

    Specific determination of various arsenic species is gaining increasing attention because the toxicity of arsenic differs with chemical forms such as organic (MMA, DMA) or inorganic (arsenite, arsenate). Knowledge of extraction method for arsenic speciation in contaminated soils then notified and tested by many researchers. However, the analytical technique for separation of different arsenic species has been always challenging in different environmental samples. A achieving correct analytical results and resolving the lowest detection limit is also desirable. Extraction method for arsenic speciation have been studied by many researchers with the use of a variety of extractants such as H3PO4, HCl, Na2CO3, EDTA 'in soils and sediments including plenty of clay. We, in this study, reported a benign extraction method and presented the pattern of arsenic in contaminated soils of different mineral compositions. Soil samples were collected from tailings of 2 places (Kyungbuk, Jeonnam); both were from abandoned metal mines in Korea. Samples were air dried at room temperature and separated by mechanical sieving to three fractions (2mm_200 μm, 200_64μm, arsenic analysis used by KBSI method and modified Garcia-Manyes method for arsenic speciation. We extracted arsenic species from the soils by using a mixture of 1M phosphoric acid and 0.1% ascorbic acid. 0.2g of sample was placed in microwave digestion vessels along with 10ml extraction solution and treated for 15min at 60w microwave power. After the microwave stage, the contents were transferred to 30ml sample bottles and diluted to 16ml with deionized water, then centrifuged for 15min at 2500rpm. Total arsenic concentration of sample was analyzed by using ICP-AES (ICP-OES, Ultima2C, Jobin Yvon) and the arsenic species were analyzed by hyphenated system, SPE-HG-ICP-AES. To identify the mineral phases in bulk soil samples, we used XRD (Phillips X'Pert MPD) under 40kV/30mA condition. XRD data was collected between 5 and 70

  18. Increasing the extraction efficiency of blue light emitting diodes via laser patterned Ga-polar p-GaN surface

    Energy Technology Data Exchange (ETDEWEB)

    Zuo, Zhiyuan; Liu, Duo; Zhang, Baitao; He, Jingliang; Liu, Hong; Xu, Xiangang [State Key Laboratory of Crystal Materials, Shandong University, Jinan, Shandong 250100 (China)

    2011-09-15

    We report here the laser patterned Ga-polar p-GaN surface to improve the light extraction efficiency of GaN based blue light emitting diodes (LEDs) by using a pulsed UV laser in combination with a mirror scanner. The patterns created on p-GaN are confirmed to be suitable for light extraction and a 34.9% enhancement of the electroluminescent (EL) emission intensity has been obtained. Detailed discussions on the effects of laser on LEDs and the angular dependence of the emission profile are also provided. This method could be extended to other III-V LEDs and LEDs on SiC for fabricating highly efficient LEDs. The schematic of laser fabrication equipment, SEM image of patterned p-GaN surface and guided-modes extraction photograph of patterned GaN epilayer. (Copyright copyright 2011 WILEY-VCH Verlag GmbH and Co. KGaA, Weinheim)

  19. Instructional Quality and Attitudes toward Mathematics: Do Self-Concept and Interest Differ across Students' Patterns of Perceived Instructional Quality in Mathematics Classrooms?

    Directory of Open Access Journals (Sweden)

    Rebecca Lazarides

    2012-01-01

    Full Text Available Using a person-centered research approach, the present study explored individual differences in students' perceptions of instructional quality in secondary school mathematics classes and their relations to students' self-concept and interest in mathematics. Drawing on data collected from 425 high school students from ten schools in Berlin, Germany (male: 53.2%; female: 46.3%, latent class analyses (LCA revealed four distinct patterns of perceived quality of instruction. Almost half of the sample (46% had a high likelihood of perceiving an overall low quality in mathematics classes. Those students reported particular low self-concept and interest in mathematics. Compared to male students, female students were significantly more likely to belong to this “challenging pattern.” Consequences for educational practice are discussed and suggest that instruction in mathematics should take into account learners' highly individual ways of perceiving and evaluating their learning environment.

  20. Mapping Dynamic Urban Land Use Patterns with Crowdsourced Geo-Tagged Social Media (Sina-Weibo and Commercial Points of Interest Collections in Beijing, China

    Directory of Open Access Journals (Sweden)

    Yandong Wang

    2016-11-01

    Full Text Available In fast-growing cities, especially large cities in developing countries, land use types are changing rapidly, and different types of land use are mixed together. It is difficult to assess the land use types in these fast-growing cities in a timely and accurate way. To address this problem, this paper presents a multi-source data mining approach to study dynamic urban land use patterns. Spatiotemporal social media data reveal human activity patterns in different areas, social media text data reflects the topics discussed in different areas, and Points of Interest (POI reflect the distribution of urban facilities in different regions. Human activity patterns, topics of discussion on social media, and the distribution of urban facilities in different regions were combined and analyzed to infer urban land use patterns. We collected 9.5 million geo-tagged Chinese social media (Sina-Weibo messages from January 2014 to July 2014 in the urban core areas of Beijing and compared them with 385,792 commercial Points of Interest (POI from Datatang (a Chinese digital data content provider. To estimate urban land use types and patterns in Beijing, a regular grid of 400 m × 400 m was created to divide the urban core areas into 18,492 cells. By analyzing the temporal frequency trends of social media messages within each cell using K-means clustering algorithm, we identified seven types of land use clusters in Beijing: residential areas, university dormitories, commercial areas, work areas, transportation hubs, and two types of mixed land use areas. Text mining, word clouds, and the distribution analysis of POI were used to verify the estimated land use types successfully. This study can help urban planners create up-to-date land use patterns in an economic way and help us better understand dynamic human activity patterns in a city.

  1. Enhanced robustness of myoelectric pattern recognition to across-day variation through invariant feature extraction.

    Science.gov (United States)

    Liu, Jianwei; Zhang, Dingguo; Sheng, Xinjun; Zhu, Xiangyang

    2015-01-01

    Robust pattern recognition is critical for myoelectric prosthesis (MP) developed in the laboratory to be used in real life. This study focuses on the robustness of MP control during the usage across many days. Due to the variability inhered in extended electromyography (EMG) signals, the distribution of EMG features extracted from several days' data may have large intra-class scatter. However, as the subjects perform the same motion type in different days, we hypothesize there exist some invariant characteristics in the EMG features. Therefore, give a set of training data from several days, it is possible to find an invariant component in them. To this end, an invariant feature extraction (IFE) framework based on kernel fisher discriminant analysis is proposed. A desired transformation, which minimizes the intra-class (within a motion type) scatter meanwhile maximizes the inter-class (between different motion types) scatter, is found. Five intact-limbed subjects and three transradial-amputee subjects participated in an experiment lasting ten days. The results show that the generalization ability of the classifier trained on previous days to the unseen testing days can be improved by IFE. IFE significantly outperforms Baseline (original input feature) in classification accuracy, both for intact-limbed subjects and amputee subjects (average 88.97% vs. 91.20% and 85.09% vs. 88.22%, p <; 0.05).

  2. Extracting biologically significant patterns from short time series gene expression data

    Directory of Open Access Journals (Sweden)

    McGinnis Thomas

    2009-08-01

    Full Text Available Abstract Background Time series gene expression data analysis is used widely to study the dynamics of various cell processes. Most of the time series data available today consist of few time points only, thus making the application of standard clustering techniques difficult. Results We developed two new algorithms that are capable of extracting biological patterns from short time point series gene expression data. The two algorithms, ASTRO and MiMeSR, are inspired by the rank order preserving framework and the minimum mean squared residue approach, respectively. However, ASTRO and MiMeSR differ from previous approaches in that they take advantage of the relatively few number of time points in order to reduce the problem from NP-hard to linear. Tested on well-defined short time expression data, we found that our approaches are robust to noise, as well as to random patterns, and that they can correctly detect the temporal expression profile of relevant functional categories. Evaluation of our methods was performed using Gene Ontology (GO annotations and chromatin immunoprecipitation (ChIP-chip data. Conclusion Our approaches generally outperform both standard clustering algorithms and algorithms designed specifically for clustering of short time series gene expression data. Both algorithms are available at http://www.benoslab.pitt.edu/astro/.

  3. Extracting phonological patterns for L2 word learning: the effect of poor phonological awareness.

    Science.gov (United States)

    Hu, Chieh-Fang

    2014-10-01

    An implicit word learning paradigm was designed to test the hypothesis that children who came to the task of L2 vocabulary acquisition with poorer L1 phonological awareness (PA) are less capable of extracting phonological patterns from L2 and thus have difficulties capitalizing on this knowledge to support L2 vocabulary learning. A group of Chinese-speaking six-grade students took a multi-trial L2 (English) word learning task after being exposed to a set of familiar words that rhymed with the target words. Children's PA was measured at grade 3. Children with relatively poorer L1 PA and those with better L1 PA did not differ in identifying the forms of the new words. However, children with poorer L1 PA demonstrated reduced performance in naming pictures with labels that rhymed with the pre-exposure words than with labels that did not rhyme with the pre-exposure words. Children with better L1 PA were not affected by the recurring rime shared by the pre-exposure words and the target words. These findings suggest that poor L1 PA may impede L2 word learning via difficulty in abstracting phonological patterns away from L2 input to scaffold word learning.

  4. Extracting information in spike time patterns with wavelets and information theory.

    Science.gov (United States)

    Lopes-dos-Santos, Vítor; Panzeri, Stefano; Kayser, Christoph; Diamond, Mathew E; Quian Quiroga, Rodrigo

    2015-02-01

    We present a new method to assess the information carried by temporal patterns in spike trains. The method first performs a wavelet decomposition of the spike trains, then uses Shannon information to select a subset of coefficients carrying information, and finally assesses timing information in terms of decoding performance: the ability to identify the presented stimuli from spike train patterns. We show that the method allows: 1) a robust assessment of the information carried by spike time patterns even when this is distributed across multiple time scales and time points; 2) an effective denoising of the raster plots that improves the estimate of stimulus tuning of spike trains; and 3) an assessment of the information carried by temporally coordinated spikes across neurons. Using simulated data, we demonstrate that the Wavelet-Information (WI) method performs better and is more robust to spike time-jitter, background noise, and sample size than well-established approaches, such as principal component analysis, direct estimates of information from digitized spike trains, or a metric-based method. Furthermore, when applied to real spike trains from monkey auditory cortex and from rat barrel cortex, the WI method allows extracting larger amounts of spike timing information. Importantly, the fact that the WI method incorporates multiple time scales makes it robust to the choice of partly arbitrary parameters such as temporal resolution, response window length, number of response features considered, and the number of available trials. These results highlight the potential of the proposed method for accurate and objective assessments of how spike timing encodes information. Copyright © 2015 the American Physiological Society.

  5. Simple and efficient method for region of interest value extraction from picture archiving and communication system viewer with optical character recognition software and macro program.

    Science.gov (United States)

    Lee, Young Han; Park, Eun Hae; Suh, Jin-Suck

    2015-01-01

    The objectives are: 1) to introduce a simple and efficient method for extracting region of interest (ROI) values from a Picture Archiving and Communication System (PACS) viewer using optical character recognition (OCR) software and a macro program, and 2) to evaluate the accuracy of this method with a PACS workstation. This module was designed to extract the ROI values on the images of the PACS, and created as a development tool by using open-source OCR software and an open-source macro program. The principal processes are as follows: (1) capture a region of the ROI values as a graphic file for OCR, (2) recognize the text from the captured image by OCR software, (3) perform error-correction, (4) extract the values including area, average, standard deviation, max, and min values from the text, (5) reformat the values into temporary strings with tabs, and (6) paste the temporary strings into the spreadsheet. This principal process was repeated for the number of ROIs. The accuracy of this module was evaluated on 1040 recognitions from 280 randomly selected ROIs of the magnetic resonance images. The input times of ROIs were compared between conventional manual method and this extraction module-assisted input method. The module for extracting ROI values operated successfully using the OCR and macro programs. The values of the area, average, standard deviation, maximum, and minimum could be recognized and error-corrected with AutoHotkey-coded module. The average input times using the conventional method and the proposed module-assisted method were 34.97 seconds and 7.87 seconds, respectively. A simple and efficient method for ROI value extraction was developed with open-source OCR and a macro program. Accurate inputs of various numbers from ROIs can be extracted with this module. The proposed module could be applied to the next generation of PACS or existing PACS that have not yet been upgraded. Copyright © 2015 AUR. Published by Elsevier Inc. All rights reserved.

  6. Reasons for and patterns relating to the extraction of permanent teeth in a subset of the Saudi population

    Directory of Open Access Journals (Sweden)

    Aleisa K

    2013-07-01

    Full Text Available Khalil Alesia,1 Hesham S Khalil2 1Department of Prosthetic Dental Sciences, 2Department of Oral and Maxillofacial Surgery, College of Dentistry, King Saud University, Saudi Arabia Background: The purpose of this study was to investigate the reasons for and patterns of extraction of permanent teeth in a subset of the Saudi population. Methods: During a 3-month period, dentists were asked to record, using a specially designed survey form, the reasons for every extraction of a permanent tooth. The reasons for tooth extraction were assigned to different causes, ie, dental caries, periodontal disease, eruption problems, trauma, orthodontics, failed root canal treatment, and others. The data requested for each extraction were: patient age, gender, nationality, and type of tooth removed and the reason for its extraction. Results: The highest percentage of extractions was observed in young females aged 10–30 years. Presence of caries was observed to be the main reason for extraction (50.2% followed by orthodontic problems (18.2%, eruption problems (17.5%, and periodontal problems (8.2%. The most frequently extracted posterior teeth were the third mandibular molar (19.4%, the third maxillary molar (16.4%, the first maxillary premolar (13.2%, and the first mandibular molar (10.9%. Conclusion: Dental caries was found to be the most common reason for extraction of teeth. Molar teeth were found to be the most frequently extracted, with an increased number of extracted first premolars as a result of orthodontic treatment. The highest percentage of extractions was observed in young females aged 10–30 years. Keywords: extraction, Saudi, teeth, reasons, permanent

  7. Extracting Usage Patterns and the Analysis of Tag Connection Dynamics within Collaborative Tagging Systems

    Directory of Open Access Journals (Sweden)

    Daniel MICAN

    2013-01-01

    Full Text Available Collaborative tagging has become a very popular way of annotation, thanks to the fact that any entity may be labeled by any individual based on his own reason. In this paper we present the results of the case study carried out on the basis of data gathered at different time intervals from the social tagging system developed and implemented on Întelepciune.ro. Analyzing collective data referring to the way in which community members associate different tags, we have observed that between tags, links are formed which become increasingly stable with the passing of time. Following the application of methodology specific to network analysis, we have managed to extract information referring to tag popularity, their influence within the network and the degree to which a tag depends upon another. As such, we have succeeded in determining different semantic structures within the collective tagging system and see their evolution at different stages in time. Furthermore, we have pictured the way in which tag rec-ommendations can be executed and that they can be integrated within recommendation sys-tems. Thus, we will be able to identify experts and trustworthy content based on different cat-egories of interest.

  8. ACME: A scalable parallel system for extracting frequent patterns from a very long sequence

    KAUST Repository

    Sahli, Majed

    2014-10-02

    Modern applications, including bioinformatics, time series, and web log analysis, require the extraction of frequent patterns, called motifs, from one very long (i.e., several gigabytes) sequence. Existing approaches are either heuristics that are error-prone, or exact (also called combinatorial) methods that are extremely slow, therefore, applicable only to very small sequences (i.e., in the order of megabytes). This paper presents ACME, a combinatorial approach that scales to gigabyte-long sequences and is the first to support supermaximal motifs. ACME is a versatile parallel system that can be deployed on desktop multi-core systems, or on thousands of CPUs in the cloud. However, merely using more compute nodes does not guarantee efficiency, because of the related overheads. To this end, ACME introduces an automatic tuning mechanism that suggests the appropriate number of CPUs to utilize, in order to meet the user constraints in terms of run time, while minimizing the financial cost of cloud resources. Our experiments show that, compared to the state of the art, ACME supports three orders of magnitude longer sequences (e.g., DNA for the entire human genome); handles large alphabets (e.g., English alphabet for Wikipedia); scales out to 16,384 CPUs on a supercomputer; and supports elastic deployment in the cloud.

  9. Enhancement of near-UV GaN LED light extraction efficiency by GaN/sapphire template patterning

    Science.gov (United States)

    Ali, M.; Svensk, O.; Riuttanen, L.; Kruse, M.; Suihkonen, S.; Romanov, A. E.; Törmä, P. T.; Sopanen, M.; Lipsanen, H.; Odnoblyudov, M. A.; Bougrov, V. E.

    2012-08-01

    We present near-UV GaN light-emitting diodes (LEDs) grown on patterned GaN/sapphire templates with improved material quality and light extraction efficiency. Enhancement of light extraction efficiency is attributed to voids generated at the GaN/sapphire interface. The sidewall inclination angle of the voids can be controlled from nearly vertical (˜ 85°) to fully inclined (˜ 60°) by changing the initial patterning dimensions. Light extraction efficiency and material quality improve with a decreasing void sidewall angle. A 20% increase in the light output is observed at 20 mA of input current for LED structures with ˜60° inclined sidewall voids.

  10. The Pattern of Sexual Interest of Female-to-Male Transsexual Persons With Gender Identity Disorder Does Not Resemble That of Biological Men: An Eye-Tracking Study.

    Science.gov (United States)

    Tsujimura, Akira; Kiuchi, Hiroshi; Soda, Tetsuji; Takezawa, Kentaro; Fukuhara, Shinichiro; Takao, Tetsuya; Sekiguchi, Yuki; Iwasa, Atsushi; Nonomura, Norio; Miyagawa, Yasushi

    2017-09-01

    Very little has been elucidated about sexual interest in female-to-male (FtM) transsexual persons. To investigate the sexual interest of FtM transsexual persons vs that of men using an eye-tracking system. The study included 15 men and 13 FtM transsexual subjects who viewed three sexual videos (clip 1: sexy clothed young woman kissing the region of the male genitals covered by underwear; clip 2: naked actor and actress kissing and touching each other; and clip 3: heterosexual intercourse between a naked actor and actress) in which several regions were designated for eye-gaze analysis in each frame. The designation of each region was not visible to the participants. Visual attention was measured across each designated region according to gaze duration. For clip 1, there was a statistically significant sex difference in the viewing pattern between men and FtM transsexual subjects. Longest gaze time was for the eyes of the actress in men, whereas it was for non-human regions in FtM transsexual subjects. For clip 2, there also was a statistically significant sex difference. Longest gaze time was for the face of the actress in men, whereas it was for non-human regions in FtM transsexual subjects, and there was a significant difference between regions with longest gaze time. The most apparent difference was in the gaze time for the body of the actor: the percentage of time spent gazing at the body of the actor was 8.35% in FtM transsexual subjects, whereas it was only 0.03% in men. For clip 3, there were no statistically significant differences in viewing patterns between men and FtM transsexual subjects, although longest gaze time was for the face of the actress in men, whereas it was for non-human regions in FtM transsexual subjects. We suggest that the characteristics of sexual interest of FtM transsexual persons are not the same as those of biological men. Tsujimura A, Kiuchi H, Soda T, et al. The Pattern of Sexual Interest of Female-to-Male Transsexual Persons

  11. Evaluation of pattern recognition and feature extraction methods in ADHD prediction.

    Directory of Open Access Journals (Sweden)

    Joao Ricardo Sato

    2012-09-01

    Full Text Available Attention-Deficit/Hyperactivity Disorder is a neurodevelopmental disorder, being one of the most prevalent psychiatric disorders in childhood. The neural substrates associated with this condition, both from structural and functional perspectives, are not yet well established . Recent studies have highlighted the relevance of neuroimaging not only to provide a more solid understanding about the disorder but also for possible clinical support. The ADHD-200 Consortium organized the ADHD-200 global competition making publicly available, hundreds of structural magnetic resonance imaging (MRI and functional MRI (fMRI datasets of both ADHD patients and typically developing controls for research use. In the current study, we evaluate the predictive power of a set of three different feature extraction methods and 10 different pattern recognition methods. The features tested were regional homogeneity (ReHo, amplitude of low frequency fluctuations (ALFF and independent components analysis maps (RSN. Our findings suggest that the combination ALFF+ReHo maps contain relevant information to discriminate ADHD patients from typically developing controls, but with limited accuracy. All classifiers provided almost the same performance in this case. In addition, the combination ALFF+ReHo+RSN was relevant in combined vs inattentive ADHD classification, achieving a score accuracy of 67%. In this latter case, the performances of the classifiers were not equivalent and L2-regularized logistic regression (both in primal and dual space provided the most accurate predictions. The analysis of brain regions containing most discriminative information suggested that in both classifications (ADHD vs typically developing controls and combined vs inattentive, the relevant information is not confined only to a small set of regions but it is spatially distributed across the whole brain.

  12. The effective dose and pattern of soybean extract administration to regulate body weight of laboratory rats

    Directory of Open Access Journals (Sweden)

    Meilinah Hidayat

    2016-07-01

    the intake of protein and suppress appetite for short-term. Detam 1 variety is a high-quality soybean according to the Minister of Agriculture of Indonesia. Soybean protein extract Detam 1 by Deak method contains high levels of β conglycinin. The purpose of this study was to determine the effective dose of protein extract Detam 1 soybean Deak Method (PEDSDM in reducing food intake, regulate body weight, and plasma CCK level for 14 and 28 days at various dosage and pattern of treatment on male Wistar rats. Methods: There were eleven groups of treatment (n = 3, administrated with extracts at 5 mg/1x/day, 10 mg/1x/day, 20 mg/1x/day, 2.5 mg/2x/day, 5 mg/2x/day, 10 mg/2x/day and 1.7mg/3x/day, 3.4mg/3x/day, 6.7 mg/3x/day, negative control group (distilled water and positive control group (Sibutramine. Food intake (g, weight loss (g and measurement of plasma Cholecystokinin levels by ELISA (ng /ml Results: The results showed that the highest percentage decrease in food intake is: group 3.4mg /3x/ day (p <0.05, inhibition weight gain for 14 days: group 10 mg /1x/ day, for 28 days: group 1.7 mg/3x/day (p <0.05, increased plasma Cholecystokinin levels: group 20 mg /1x/day (p <0.05. Conclusions: The effective dose and pattern administrating the rats for 14 days is extract of 10 mg once a day in the morning, for 28 days is 1.7 mg three times a day. (Health Science Journal of Indonesia 2016;7:17-26 Keywords: Soybean var Detam 1 -effective dose - body weight - Cholecystokinin 

  13. Effects of Coriandrum sativum extract on exploratory behaviour pattern and locomotor activity in mice: An experimental study

    Directory of Open Access Journals (Sweden)

    S N Harsha

    2012-01-01

    Full Text Available Objective : To investigate the effect of the hydroalcoholic extract obtained from Coriandrum sativum leaves on the exploratory behaviour pattern and locomotor activity of mice. Materials and Methods: Elevated plus maze (EPM and open field test (OFT were the screening tests used to assess the anxiolytic activity of , the extracts on mice. Diazepam (1 mg / kg served as the standard anxiolytic agent. The animal receiving extracts or diazepam showed an increase in the time spent, total entries in the open arm of the EPM and increased total locomotion in the OFT, suggesting anxiolytic activity. Results: The crude dried extract was prepared in doses of 100, 200 and 400 mg / kg body weight and administered intraperitoneally to the mice, for evaluation of the anxiolytic activity. The 200 and 400 mg / kg body weight produced highly significant (P < 0.01 anxiolytic effects, in a dose-dependent manner, by increasing the time spent on and the number of entries into the open arms of the EPM and by an increase in the locomotion by mice in the OFT. Furthermore, in lower doses the extract did not affect the locomotor activity. Conclusion: Our findings demonstrated that the leaf extract of the plant exerted an anti-anxiety effect on mice in the elevated plus maze and open field test.

  14. EXTRACT

    DEFF Research Database (Denmark)

    Pafilis, Evangelos; Buttigieg, Pier Luigi; Ferrell, Barbra

    2016-01-01

    The microbial and molecular ecology research communities have made substantial progress on developing standards for annotating samples with environment metadata. However, sample manual annotation is a highly labor intensive process and requires familiarity with the terminologies used. We have the...... and text-mining-assisted curation revealed that EXTRACT speeds up annotation by 15-25% and helps curators to detect terms that would otherwise have been missed.Database URL: https://extract.hcmr.gr/....

  15. An Innovative Treatment Approach with Atypical Orthodontic Extraction Pattern in Bimaxillary Protrusion Case

    Directory of Open Access Journals (Sweden)

    Anil Miglani

    2013-01-01

    Full Text Available This case report describes the treatment of a 23-year-old female with severe bimaxillary dentoalveolar protrusion and missing left mandibular first molar. Her chief concern was significant facial convexity. Generally treatment plan of such cases involves extraction of first premolars but absence of first molar complicates situation with problem of space management, anchorage requirement and post-treatment occlusion. This case report introduces thought provoking treatment approach of selecting atypical teeth for orthodontic extraction without compromising the quality of treatment outcomes. However, three first bicuspids were extracted while the mandibular left second premolar was distalized into the missing molar space and used as an abutment for replacement of the missing first molar by prosthesis. Despite the unusual asymmetric extraction of teeth, superimposition of the pretreatment and post-treatment cephalometric tracings shows excellent treatment outcomes and reduction of facial convexity by maximum retraction of the anterior teeth.

  16. IMPACTS, PATTERNS, INFLUENCING FACTORS AND POLICIES OF FUELWOOD EXTRACTION IN WAY KAMBAS NATIONAL PARK, INDONESIA

    Directory of Open Access Journals (Sweden)

    Ari Rakatama

    2016-04-01

    Full Text Available Uncontrolled fuelwood extraction from conservation forest of Way Kambas National Park (WKNP could threaten the existing forest. This paper studies the way to tackle the forest degradation in WKNP, with less negative impacts to the local people. Study was conducted by analysing existing data and maps of WKNP in terms of forest degradation, forest inventories, current policies, survey on how fuelwood is extracted, observation on fuelwood gatherers, fuelwood demand, and identification of further policy options. Results show that the most significant factors influencing the fuelwood extraction activity in WKNP are land ownership, followed by the distance to forest area, income level, the number of household members and age of household head. In the field, the fuelwood utilization is allowed by WKNP Authority, although it is formally forbidden.It was stated that fuelwood extraction in the area should be less than 2.89 ton/ha/year to maintain its sustainability, based on the mean WNKP forest tree annual increment. The fact shows that fuelwood extraction in WKNP reduces of forest biomass stock (1.06 tons/ha/year and decreases species diversity index (from 3.05 to 2.45, species evenness index (from 1.06 to 0.91 and old-young tree ratio (from 1.29 to 1. Ecosystem quality reduction is mainly caused by destructive techniques in extracting fuelwood such as slashing, scratching cambium, and cutting trees. Therefore, recommended policy includes legalizing fuelwood extraction with restrictions, providing alternative fuelwood and other biomass energy resources outside WKNP, conducting preventive (establishing checkpoints and increasing patrols and pre-emptive (educating and campaigning efforts, collaborating with other stakeholders, and empowering local economy.

  17. Patterns of and reasons for tooth extractions in general dental practice in Ontario, Canada.

    Science.gov (United States)

    Murray, H; Locker, D; Kay, E J

    1996-06-01

    While substantial proportions of the population of Ontario, Canada continue to have teeth extracted, little is known about the reasons for this loss. In this survey of Ontario general dental practitioners, 128 dentists provided information on 6143 patients they saw during a reference week. Approximately one-in-seven of these patients had or were going to have one or more extractions as part of their current course of treatment. The mean number of extractions for patients having at least one tooth taken out was 2.3 (SD = 2.5). Emergency patients were more likely than regular patients to have at least one extraction but, on average, had fewer teeth taken out. Orthodontic considerations were the main reason for tooth loss in childhood, caries continued to be an important cause of tooth loss at all ages and periodontal disease accounted for more teeth lost after 40 years of age than caries. This study differs from almost all others in finding that, overall, more permanent teeth were extracted because of periodontal disease than because of caries. The former accounted for 35.9% of teeth lost and the latter for 28.9%. While this may be due to methodological differences between this and other studies, it is consistent with epidemiological data on periodontal disease in the Ontario population and data showing that Ontarians receive little in the way of periodontal care.

  18. Expression pattern of sonic hedgehog signaling and calcitonin gene-related peptide in the socket healing process after tooth extraction.

    Science.gov (United States)

    Pang, Pai; Shimo, Tsuyoshi; Takada, Hiroyuki; Matsumoto, Kenichi; Yoshioka, Norie; Ibaragi, Soichiro; Sasaki, Akira

    2015-11-06

    Sonic Hedgehog (SHH), a neural development inducer, plays a significant role in the bone healing process. Calcitonin gene-related peptide (CGRP), a neuropeptide marker of sensory nerves, has been demonstrated to affect bone formation. The roles of SHH signaling and CGRP-positive sensory nerves in the alveolar bone formation process have been unknown. Here we examined the expression patterns of SHH signaling and CGRP in mouse socket by immunohistochemistry and immunofluorescence analysis. We found that the expression level of SHH peaked at day 3 and was then decreased at 5 days after tooth extraction. CGRP, PTCH1 and GLI2 were each expressed in a similar pattern with their highest expression levels at day 5 and day 7 after tooth extraction. CGRP and GLI2 were co-expressed in some inflammatory cells and bone forming cells. In some areas, CGRP-positive neurons expressed GLI2. In conclusion, SHH may affect alveolar bone healing by interacting with CGRP-positive sensory neurons and thus regulate the socket's healing process after tooth extraction.

  19. Extracting Patterns from Educational Traces via Clustering and Associated Quality Metrics

    NARCIS (Netherlands)

    Mihaescu, Marian; Tanasie, Alexandru; Dascalu, Mihai; Trausan-Matu, Stefan

    2016-01-01

    Clustering algorithms, pattern mining techniques and associated quality metrics emerged as reliable methods for modeling learners’ performance, comprehension and interaction in given educational scenarios. The specificity of available data such as missing values, extreme values or outliers, creates

  20. Improving Light Extraction of Organic Light-Emitting Devices by Attaching Nanostructures with Self-Assembled Photonic Crystal Patterns

    Directory of Open Access Journals (Sweden)

    Kai-Yu Peng

    2014-01-01

    Full Text Available A single-monolayered hexagonal self-assembled photonic crystal (PC pattern fabricated onto polyethylene terephthalate (PET films by using simple nanosphere lithography (NSL method has been demonstrated in this research work. The patterned nanostructures acted as a scattering medium to extract the trapped photons from substrate mode of optical-electronic device for improving the overall external quantum efficiency of the organic light-emitting diodes (OLEDs. With an optimum latex concentration, the distribution of self-assembled polystyrene (PS nanosphere patterns on PET films can be easily controlled by adjusting the rotation speed of spin-coater. After attaching the PS nanosphere array brightness enhancement film (BEF sheet as a photonic crystal pattern onto the device, the luminous intensity of OLEDs in the normal viewing direction is 161% higher than the one without any BEF attachment. The electroluminescent (EL spectrum of OLEDs with PS patterned BEF attachment also showed minor color offset and superior color stabilization characteristics, and thus it possessed the potential applications in all kinds of display technology and solid-state optical-electronic devices.

  1. An artificial intelligence based improved classification of two-phase flow patterns with feature extracted from acquired images.

    Science.gov (United States)

    Shanthi, C; Pappa, N

    2017-05-01

    Flow pattern recognition is necessary to select design equations for finding operating details of the process and to perform computational simulations. Visual image processing can be used to automate the interpretation of patterns in two-phase flow. In this paper, an attempt has been made to improve the classification accuracy of the flow pattern of gas/ liquid two- phase flow using fuzzy logic and Support Vector Machine (SVM) with Principal Component Analysis (PCA). The videos of six different types of flow patterns namely, annular flow, bubble flow, churn flow, plug flow, slug flow and stratified flow are recorded for a period and converted to 2D images for processing. The textural and shape features extracted using image processing are applied as inputs to various classification schemes namely fuzzy logic, SVM and SVM with PCA in order to identify the type of flow pattern. The results obtained are compared and it is observed that SVM with features reduced using PCA gives the better classification accuracy and computationally less intensive than other two existing schemes. This study results cover industrial application needs including oil and gas and any other gas-liquid two-phase flows. Copyright © 2017 ISA. Published by Elsevier Ltd. All rights reserved.

  2. A Novel Approach to Extract Significant Patterns of Travel Time Intervals of Vehicles from Freeway Gantry Timestamp Sequences

    Directory of Open Access Journals (Sweden)

    Jing-Doo Wang

    2017-08-01

    Full Text Available It is attractive to extract and determine the key features of traffic patterns for mitigating road congestion and predicting travel time of vehicles in traffic analysis. Based on the previous work that is a scalable approach via a Hadoop MapReduce programming model, this paper aims to extract significant patterns of travel time intervals of vehicles from freeway traffic in Taiwan, and meanwhile to compute the statistics of these patterns from the point of view one may concern. Experimental resources are the records of timestamp gantry sequences of vehicles passed in five months from 2016/11 to 2017/3 that were downloaded from the Traffic Data Collection System, one of Taiwan government open data platforms. To select one specific gantry sequence for demonstration, the longest sequence on the trip within the Taiwan National Freeway No. 5 is selected. Experimental results show that some statistics of vehicle travel time intervals according to 24 h per day are computed for illustration. These statistics can not only provide clues to experts to analyze traffic congestions, but also help drivers how to avoid rush hours. Furthermore, this work is able to handle a larger amount of real data and be promising for further traffic and transportation research in the future.

  3. A Single Cell Extraction Chip Using Vibration-Induced Whirling Flow and a Thermo-Responsive Gel Pattern

    Directory of Open Access Journals (Sweden)

    Takeshi Hayakawa

    2014-09-01

    Full Text Available We propose a single cell extraction chip with an open structure, which utilizes vibration-induced whirling flow and a single cell catcher. By applying a circular vibration to a micropillar array spiral pattern, a whirling flow is induced around the micropillars, and target cells are transported towards the single cell catcher placed at the center of the spiral. The single cell catcher is composed of a single-cell-sized hole pattern of thermo-responsive gel. The gel swells at low temperatures (≲32 ◦C and shrinks at high temperatures (≳32 ◦C, therefore, its volume expansion can be controlled by an integrated microheater. When the microheater is turned on, a single cell is trapped by the hole pattern of the single cell catcher. Then, when the microheater is turned off, the single cell catcher is cooled by the ambient temperature. The gel swells at this temperature, and the hole closes to catch the single cell. The caught cell can then be released into culture wells on a microtiter plate by heating the gel again. We conducted single cell extraction with the proposed chip and achieved a 60% success rate, of which 61% cells yielded live cells.

  4. RADIAL PATTERNS OF CARBON ISOTOPES IN THE XYLEM EXTRACTIVES AND CELLULOSE OF DOUGLAS-FIR

    Science.gov (United States)

    Heartwood extractives (nonstructural wood components) are believed to be formed from a combination of compounds present in the adjacent sapwood and materials imported from the phloem. The roles of local compounds and imported material in heartwood formation could have important i...

  5. Perceptual Learning Modules in Mathematics: Enhancing Students' Pattern Recognition, Structure Extraction, and Fluency

    Science.gov (United States)

    Kellman, Philip J.; Massey, Christine M.; Son, Ji Y.

    2009-01-01

    Learning in educational settings emphasizes declarative and procedural knowledge. Studies of expertise, however, point to other crucial components of learning, especially improvements produced by experience in the extraction of information: perceptual learning (PL). We suggest that such improvements characterize both simple sensory and complex…

  6. Light extraction enhancement with radiation pattern shaping of LEDs by waveguiding nanorods with impedance-matching tips.

    Science.gov (United States)

    Hsiao, Yu-Hsuan; Chen, Cheng-Ying; Huang, Li-Chuan; Lin, Guan-Jhong; Lien, Der-Hsien; Huang, Jian-Jang; He, Jr-Hau

    2014-03-07

    Syringe-like ZnO nanorods (NRs) were fabricated on InGaN/GaN light emitting diodes (LEDs) by a hydrothermal method. Without sacrificing the electrical performances of LEDs, syringe-like NRs can enhance light extraction capability by 10.5% at 20 mA and shape the radiation profile with a view angle collimated from 136° to 121°. By performing optical experiments and simulation, it is found that the superior light extraction efficiency with a more collimated radiation pattern is attributed to the waveguiding effect of NRs and the mitigation of abrupt index change by the tapered ends of syringe-like ZnO NRs. This work demonstrates the importance of the nanostructure morphology in LED performances and provides the architecture design guidelines of nanostructures to a variety of optical devices.

  7. AGE CLASSIFICATION BASED ON FEATURES EXTRACTED FROM THIRD ORDER NEIGHBORHOOD LOCAL BINARY PATTERN

    Directory of Open Access Journals (Sweden)

    Pullela S.V.V.S.R. Kumar

    2014-11-01

    Full Text Available The present paper extended the work carried out by Kumar et. al. [10] on Third order Neighbourhood LBP (TN-LBP and derived an approach that estimates pattern trends on the outer cell of TN-LBP. The present paper observed and noted that the TN-LBP forms two types of V-patterns on the outer cell of TN-LBP i.e. Outer Right V Patterns (ORVP and Outer Left V Patterns (OLVP. The ORLP and OLVP of TN-LBP consist of 5 pixels each. The present paper derived Grey Level Co-occurrence Matrix (GLCM features based on LBP values of ORVP and OLVP. This GLCM is named as ORLVP-GLCM (Outer cell Right and Left V-Patterns of GLCM and on this four features are evaluated to classify human into child (0 to 12 years, young (13 to 30 years, middle aged (31 to 50 years and senior adult (above 60 years. The proposed method is experimented on FGNET, GOOGLE and Scanned facial images and the results are compared with the existing methods. The results demonstrate the efficiency of the proposed method over the existing methods.

  8. Historical Patterns Based on Automatically Extracted Data: the Case of Classical Composers

    DEFF Research Database (Denmark)

    Borowiecki, Karol; O'Hagan, John

    2012-01-01

    The purpose of this paper is to demonstrate the potential for generating interesting aggregate data on certain aspect of the lives of thousands of composers, and indeed other creative groups, from large on-line dictionaries and to be able to do so relatively quickly. A purpose-built java applicat......The purpose of this paper is to demonstrate the potential for generating interesting aggregate data on certain aspect of the lives of thousands of composers, and indeed other creative groups, from large on-line dictionaries and to be able to do so relatively quickly. A purpose-built java...

  9. Influence of the microstructure geometry of patterned sapphire substrates on the light extraction efficiency of GaN LEDs.

    Science.gov (United States)

    Kuo, Chien-Ting; Hsu, Lung-Hsing; Huang, Bo-Hsin; Kuo, Hao-Chung; Lin, Chien-Chung; Cheng, Yuh-Jen

    2016-09-10

    The influence of the microstructure geometry of patterned sapphire substrates (PSS) on the light extraction efficiency (LEE) of GaN light-emitting diodes (LEDs) is numerically analyzed. Cone structures of various dimensions are studied, along with dome and mixed microstructures. LEE is found to mainly depend on the microstructure surface slope. LEE rises quickly with slope and flattens out when the slope exceeds 0.6. Scaling down the microstructure has little effect on LEE. Light rays are found to travel longer distances in PSS LEDs, as compared with LEDs grown on a flat substrate. Keeping GaN absorption loss low is important for LEE optimization.

  10. Computer-aided diagnosis for classification of focal liver lesions on contrast-enhanced ultrasonography: feature extraction and characterization of vascularity patterns

    Science.gov (United States)

    Shiraishi, Junji; Sugimoto, Katsutoshi; Kamiyama, Naohisa; Moriyasu, Fuminori; Doi, Kunio

    2008-03-01

    We have developed a computer-aided diagnostic (CAD) scheme for classifying focal liver lesions (FLLs) into hepatocellular carcinoma (HCC), liver metastasis, and hemangioma, by use of B-mode and micro flow imaging (MFI) of contrast-enhanced ultrasonography. We used 98 cases in this study, in which 104 FLLs consisted of 68 HCCs, 21 metastases, and 15 hemangiomas. MFI was obtained with contrast-enhanced low-mechanical-index (MI) pulse subtraction imaging at a fixed plane which included a distinctive cross section of the FLL. In the MFI, the inflow high signals in the plane, which were due to the vascular patterns and the contrast agent, were accumulated following flash scanning with a high-MI ultrasound exposure. In this study, in addition to the existing 29 image features extracted from MFI images, such as replenishment time, the average and the standard deviation of pixel values in a FLL, and the average thickness of vessel-like patterns, four types of image features were extracted from MFI, temporal subtraction and B-mode images based on small square regions of interest (ROIs: 4x4 matrix size) placed to cover a whole region of the FLL. The four features were 1) uniformity of average pixel values for all ROIs, 2) peak pixel values in a histogram of average pixel values of ROIs, 3) fraction of hypoechoic regions within an FLL, and 4) cross-correlation of pixel values within an FLL between B-mode and MFI images. Overall classification accuracies performed by this CAD scheme were 87.5% for all 104 liver lesions.

  11. Aluminum extractability in red soils as influenced by land use patterns

    Institute of Scientific and Technical Information of China (English)

    叶兰军; 谢正苗; 黄昌勇; 徐建明

    2002-01-01

    This study on the effect of land use on soil quality in relation to forms and toxicity of aluminum in red soils (Ultisol) in southeast China showed that in general, the extractable order for soil active aluminum by four extractants was: NaOH 0.5 mol/L > HCl 1 mol/L > NH4Ac 1 mol/L > KCl 1 mol/L . Different uses of the red soils, developed from Quarternary red clay with the similar hydrogeological environment, greatly affected the amount of active aluminum, especially the exchangeable Al3+. The order of exchangeable Al3+ (Al mg/kg) in the red soils with different land uses was: barren land (740) > tea garden (663) > peach garden (432) > citrus garden (234) > paddy soil (127). The content of water soluble aluminum in the red soils was highly sensitive to soil acidity.

  12. The Multiscale Morphology Filter: Identifying and Extracting Spatial Patterns in the Galaxy Distribution

    CERN Document Server

    Aragon-Calvo, Miguel A; Van de Weygaert, Rien; Van der Hulst, J M

    2007-01-01

    We present here a new method, MMF, for automatically segmenting cosmic structure into its basic components: clusters, filaments, and walls. Importantly, the segmentation is scale independent, so all structures are identified without prejudice as to their size or shape. The method is ideally suited for extracting catalogues of clusters, walls, and filaments from samples of galaxies in redshift surveys or from particles in cosmological N-body simulations: it makes no prior assumptions about the scale or shape of the structures.}

  13. Automated extraction of precise protein expression patterns in lymphoma by text mining abstracts of immunohistochemical studies

    Directory of Open Access Journals (Sweden)

    Jia-Fu Chang

    2013-01-01

    Full Text Available Background: In general, surgical pathology reviews report protein expression by tumors in a semi-quantitative manner, that is, -, -/+, +/-, +. At the same time, the experimental pathology literature provides multiple examples of precise expression levels determined by immunohistochemical (IHC tissue examination of populations of tumors. Natural language processing (NLP techniques enable the automated extraction of such information through text mining. We propose establishing a database linking quantitative protein expression levels with specific tumor classifications through NLP. Materials and Methods: Our method takes advantage of typical forms of representing experimental findings in terms of percentages of protein expression manifest by the tumor population under study. Characteristically, percentages are represented straightforwardly with the % symbol or as the number of positive findings of the total population. Such text is readily recognized using regular expressions and templates permitting extraction of sentences containing these forms for further analysis using grammatical structures and rule-based algorithms. Results: Our pilot study is limited to the extraction of such information related to lymphomas. We achieved a satisfactory level of retrieval as reflected in scores of 69.91% precision and 57.25% recall with an F-score of 62.95%. In addition, we demonstrate the utility of a web-based curation tool for confirming and correcting our findings. Conclusions: The experimental pathology literature represents a rich source of pathobiological information, which has been relatively underutilized. There has been a combinatorial explosion of knowledge within the pathology domain as represented by increasing numbers of immunophenotypes and disease subclassifications. NLP techniques support practical text mining techniques for extracting this knowledge and organizing it in forms appropriate for pathology decision support systems.

  14. Effects of Lactuca sativa extract on exploratory behavior pattern, locomotor activity and anxiety in mice

    Directory of Open Access Journals (Sweden)

    S.N. Harsha

    2012-05-01

    Full Text Available Objective: To evaluate antianxiety property of Lactuca sativa, an important and commonly used leafy vegetable known for its medicinal properties belongs to Asteraceae family. Methods: Elevated plus maze (EPM, open field test (OFT, rat exposure test, hyponeophagia and marble burying test were performed in mice models to assess the exploratory behaviour and to assess anxiolytic property of hydro-alcohol extract of Lactuca sativa. Diazepam (1 mg/kg body wt. served as the standard anxiolytic agent for all the tests. The dried extract of the plant leaf in doses of 100, 200 and 400 mg/kg body weight was administered orally to mice for duration of 15 or 30 days and evaluated exploratory behaviour, locomotor and anxiolytic activities. Results: Time spent and number of entries into the open arm was measured in EPM followed by total locomotor activity in OFT and latency to enter the food zone in hyponeophagia. Conclusions: The study suggested that hydro-alcohol extract of Lactuca sativa leaves possess potent anxiolytic property.

  15. Sparse representation of brain aging: extracting covariance patterns from structural MRI.

    Directory of Open Access Journals (Sweden)

    Longfei Su

    Full Text Available An enhanced understanding of how normal aging alters brain structure is urgently needed for the early diagnosis and treatment of age-related mental diseases. Structural magnetic resonance imaging (MRI is a reliable technique used to detect age-related changes in the human brain. Currently, multivariate pattern analysis (MVPA enables the exploration of subtle and distributed changes of data obtained from structural MRI images. In this study, a new MVPA approach based on sparse representation has been employed to investigate the anatomical covariance patterns of normal aging. Two groups of participants (group 1:290 participants; group 2:56 participants were evaluated in this study. These two groups were scanned with two 1.5 T MRI machines. In the first group, we obtained the discriminative patterns using a t-test filter and sparse representation step. We were able to distinguish the young from old cohort with a very high accuracy using only a few voxels of the discriminative patterns (group 1:98.4%; group 2:96.4%. The experimental results showed that the selected voxels may be categorized into two components according to the two steps in the proposed method. The first component focuses on the precentral and postcentral gyri, and the caudate nucleus, which play an important role in sensorimotor tasks. The strongest volume reduction with age was observed in these clusters. The second component is mainly distributed over the cerebellum, thalamus, and right inferior frontal gyrus. These regions are not only critical nodes of the sensorimotor circuitry but also the cognitive circuitry although their volume shows a relative resilience against aging. Considering the voxels selection procedure, we suggest that the aging of the sensorimotor and cognitive brain regions identified in this study has a covarying relationship with each other.

  16. Extracting Extensor Digitorum Communis Activation Patterns using High-Density Surface Electromyography

    Directory of Open Access Journals (Sweden)

    Xiaogang eHu

    2015-10-01

    Full Text Available The extensor digitorum communis muscle plays an important role in hand dexterity during object manipulations. This multi-tendinous muscle is believed to be controlled through separate motoneuron pools, thereby forming different compartments that control individual digits. However, due to the complex anatomical variations across individuals and the flexibility of neural control strategies, the spatial activation patterns of the extensor digitorum communis compartments during individual finger extension have not been fully tracked under different task conditions.The objective of this study was to quantify the global spatial activation patterns of the extensor digitorum communis using high-density (7×9 surface electromyogram (EMG recordings. The muscle activation map (based on the root mean square of the EMG was constructed when subjects performed individual four finger extensions at the metacarpophalangeal joint, at different effort levels and under different finger constraints (static and dynamic. Our results revealed distinct activation patterns during individual finger extensions, especially between index and middle finger extensions, although the activation between ring and little finger extensions showed strong covariance. The activation map was relatively consistent at different muscle contraction levels and for different finger constraint conditions. We also found that distinct activation patterns were more discernible in the proximal-distal direction than in the radial-ulnar direction. The global spatial activation map utilizing surface grid EMG of the extensor digitorum communis muscle provides information for localizing individual compartments of the extensor muscle during finger extensions. This is of potential value for identifying more selective control input for assistive devices. Such information can also provide a basis for understanding hand impairment in individuals with neural disorders.

  17. Releasing Pattern of Applied Phosphorus and Distribution Change of Phosphorus Fractions in the Acid Upland Soils with Successive Resin Extraction

    Directory of Open Access Journals (Sweden)

    Arief Hartono

    2008-05-01

    Full Text Available The releasing pattern of applied P in the acid upland soils and the soil properties influencing the pattern were studied. Surface horizons of six acid upland soils from Sumatra, Java and Kalimantan were used in this study. The releasing pattern of applied P (300 mg P kg-1 of these soils were studied by successive resin extraction. P fractionation was conducted to evaluate which fractions released P to the soil solution after successive resin extraction. The cumulative of resin-Pinorganic (Pi release of soils was fitted to the first order kinetic. Regression analyses using factor scores obtained from the previous principal components analyses was applied to determine soil properties influencing P releasing pattern. The results suggested that the maximum P release was significantly (P < 0.05 increased by acidity plus 1.4 nm mineral-related factor (PC2 i.e. exchangeable Al and 1.4 nm minerals (smectite and vermiculite and decreased by oxide related factor (PC1 i.e. aluminum (Al plus 1/2 iron (Fe (by ammonium oxalate, crystalline Al and Fe oxides, cation exchange capacity, and clay content. P fractionation analysis after successive resin extraction showed that both labile and less labile in the form of NaHCO3-Pi and NaOH-Pi fractions, respectively, can be transformed into resin-Pi when in the most labile resin-Pi is depleted. Most of P released in high oxides soils were from NaOH-Pi fraction while in low oxides soils were from NaHCO3-Pi. P release from the former fraction resulted in the maximum P release lower than that of the latter one. When NaHCO3-Pi was high, NaOH-Pi was relatively more stable than NaHCO3-Pi despite resin-Pi removal. NaHCO3-Pi and NaOH-Pi are very important P fractions in replenishing resin-Pi in these acid upland soils.

  18. Perceptual learning modules in mathematics: enhancing students' pattern recognition, structure extraction, and fluency.

    Science.gov (United States)

    Kellman, Philip J; Massey, Christine M; Son, Ji Y

    2010-04-01

    Learning in educational settings emphasizes declarative and procedural knowledge. Studies of expertise, however, point to other crucial components of learning, especially improvements produced by experience in the extraction of information: perceptual learning (PL). We suggest that such improvements characterize both simple sensory and complex cognitive, even symbolic, tasks through common processes of discovery and selection. We apply these ideas in the form of perceptual learning modules (PLMs) to mathematics learning. We tested three PLMs, each emphasizing different aspects of complex task performance, in middle and high school mathematics. In the MultiRep PLM, practice in matching function information across multiple representations improved students' abilities to generate correct graphs and equations from word problems. In the Algebraic Transformations PLM, practice in seeing equation structure across transformations (but not solving equations) led to dramatic improvements in the speed of equation solving. In the Linear Measurement PLM, interactive trials involving extraction of information about units and lengths produced successful transfer to novel measurement problems and fraction problem solving. Taken together, these results suggest (a) that PL techniques have the potential to address crucial, neglected dimensions of learning, including discovery and fluent processing of relations; (b) PL effects apply even to complex tasks that involve symbolic processing; and (c) appropriately designed PL technology can produce rapid and enduring advances in learning.

  19. Multi-channel EEG signal feature extraction and pattern recognition on horizontal mental imagination task of 1-D cursor movement for brain computer interface.

    Science.gov (United States)

    Serdar Bascil, M; Tesneli, Ahmet Y; Temurtas, Feyzullah

    2015-06-01

    Brain computer interfaces (BCIs), based on multi-channel electroencephalogram (EEG) signal processing convert brain signal activities to machine control commands. It provides new communication way with a computer by extracting electroencephalographic activity. This paper, deals with feature extraction and classification of horizontal mental task pattern on 1-D cursor movement from EEG signals. The hemispherical power changes are computed and compared on alpha & beta frequencies and horizontal cursor control extracted with only mental imagination of cursor movements. In the first stage, features are extracted with the well-known average signal power or power difference (alpha and beta) method. Principal component analysis is used for reducing feature dimensions. All features are classified and the mental task patterns are recognized by three neural network classifiers which learning vector quantization, multilayer neural network and probabilistic neural network due to obtaining acceptable good results and using successfully in pattern recognition via k-fold cross validation technique.

  20. Extracting salient brain patterns for imaging-based classification of neurodegenerative diseases.

    Science.gov (United States)

    Rueda, Andrea; González, Fabio A; Romero, Eduardo

    2014-06-01

    Neurodegenerative diseases comprise a wide variety of mental symptoms whose evolution is not directly related to the visual analysis made by radiologists, who can hardly quantify systematic differences. Moreover, automatic brain morphometric analyses, that do perform this quantification, contribute very little to the comprehension of the disease, i.e., many of these methods classify but they do not produce useful anatomo-functional correlations. This paper presents a new fully automatic image analysis method that reveals discriminative brain patterns associated to the presence of neurodegenerative diseases, mining systematic differences and therefore grading objectively any neurological disorder. This is accomplished by a fusion strategy that mixes together bottom-up and top-down information flows. Bottom-up information comes from a multiscale analysis of different image features, while the top-down stage includes learning and fusion strategies formulated as a max-margin multiple-kernel optimization problem. The capacity of finding discriminative anatomic patterns was evaluated using the Alzheimer's disease (AD) as the use case. The classification performance was assessed under different configurations of the proposed approach in two public brain magnetic resonance datasets (OASIS-MIRIAD) with patients diagnosed with AD, showing an improvement varying from 6.2% to 13% in the equal error rate measure, with respect to what has been reported by the feature-based morphometry strategy. In terms of the anatomical analysis, discriminant regions found by the proposed approach highly correlates to what has been reported in clinical studies of AD.

  1. Individual 3D region-of-interest atlas of the human brain: knowledge-based class image analysis for extraction of anatomical objects

    Science.gov (United States)

    Wagenknecht, Gudrun; Kaiser, Hans-Juergen; Sabri, Osama; Buell, Udalrich

    2000-06-01

    After neural network-based classification of tissue types, the second step of atlas extraction is knowledge-based class image analysis to get anatomically meaningful objects. Basic algorithms are region growing, mathematical morphology operations, and template matching. A special algorithm was designed for each object. The class label of each voxel and the knowledge about the relative position of anatomical objects to each other and to the sagittal midplane of the brain can be utilized for object extraction. User interaction is only necessary to define starting, mid- and end planes for most object extractions and to determine the number of iterations for erosion and dilation operations. Extraction can be done for the following anatomical brain regions: cerebrum; cerebral hemispheres; cerebellum; brain stem; white matter (e.g., centrum semiovale); gray matter [cortex, frontal, parietal, occipital, temporal lobes, cingulum, insula, basal ganglia (nuclei caudati, putamen, thalami)]. For atlas- based quantification of functional data, anatomical objects can be convoluted with the point spread function of functional data to take into account the different resolutions of morphological and functional modalities. This method allows individual atlas extraction from MRI image data of a patient without the need of warping individual data to an anatomical or statistical MRI brain atlas.

  2. Control of microorganisms of oral health interest with Arctium lappa L. (burdock) extract non-cytotoxic to cell culture of macrophages (RAW 264.7).

    Science.gov (United States)

    de Oliveira, Jonatas Rafael; de Aguiar Almeida, Rosilene Batista; das Graças Figueiredo Vilela, Polyana; de Oliveira, Felipe Eduardo; da Rocha, Rosilene Fernandes; Jorge, Antonio Olavo Cardoso; de Oliveira, Luciane Dias

    2014-08-01

    To evaluate the antimicrobial activity of Arctium lappa L. extract on Staphylococcus aureus, S. epidermidis, Streptococcus mutans, Candida albicans, C. tropicalis and C. glabrata. In addition, the cytotoxicity of this extract was analyzed on macrophages (RAW 264.7). By broth microdilution method, different concentrations of the extract (250-0.4 mg/mL) were used in order to determine the minimum microbicidal concentration (MMC) in planktonic cultures and the most effective concentration was used on biofilms on discs made of acrylic resin. The cytotoxicity A. lappa L. extract MMC was evaluated on RAW 264.7 by MTT assay and the quantification of IL-1β and TNF-α by ELISA. The most effective concentration was 250 mg/mL and also promoted significant reduction (log₁₀) in the biofilms of S. aureus (0.438 ± 0.269), S. epidermidis (0.377 ± 0.298), S. mutans (0.244 ± 0.161) and C. albicans (0.746 ± 0.209). Cell viability was similar to 100%. The production of IL-1β was similar to the control group (p>0.05) and there was inhibition of TNF-α (plappa L. extract was microbicidal for all the evaluated strains in planktonic cultures, microbiostatic for biofilms and not cytotoxic to the macrophages. Copyright © 2014 Elsevier Ltd. All rights reserved.

  3. Research of User Interest Drift Pattern Based on Web Access Information%基于Web访问信息的用户兴趣迁移模式的研究

    Institute of Scientific and Technical Information of China (English)

    马力; 谭薇; 李培

    2011-01-01

    针对用户浏览网页的兴趣会随时间而变化这一现象,设计了一种网络用户兴趣迁移模式的挖掘模型.把用户的访问兴趣通过隐马尔可夫模型抽象成一种时间序列,以此反映用户兴趣的序列性,进而利用GSP算法从用户兴趣序列中挖掘出用户兴趣的迁移模式.实验证明该方法是有效的,从时间属性上更深层次地描述了用户兴趣的变化情况.%Focused on the phenomenon that the visited interest of user would change with time,a model of mining user's interest drift pattern was proposed. Abstracted the visited interest of user into a time sequence with the method of hidden Markov, which was used to reflect the sequential features of the user interest. Used GSP algorithm to mine the drift of user's visited interest pattern from the interested sequence of user. At last, verified the feasibility of the given model using the simulation experiments,and the model could give a deeper description of the draft of the visited interest on the attribute of time.

  4. Research on Extraction of Bottom of Shoe Pattern Based on Binocular Stereo Vision

    Institute of Scientific and Technical Information of China (English)

    MA Xin-wu; GAN Yi; SUN Fu-jia

    2016-01-01

    In order to quickly and efficiently get the information of the bottom of the shoe pattern and spraying trajectory, the paper proposes a method based on binocular stereo vision .After acquiring target image , edge detection based on the canny algorithm , the paper begins stereo matching based on area and characteristics of algorithm.To eliminate false matching points , the paper uses the principle of polar geometry in computer vision . For the purpose of gaining the 3D point cloud of spraying curve , the paper adopts the principle of binocular stereo vision 3D measurement , and then carries on cubic spline curve fitting .By HALCON image processing software programming , it proves the feasibility and effectiveness of the method .

  5. Metal extractability patterns to evaluate (potentially) mobile fractions in periurban calcareous agricultural soils in the Mediterranean area-analytical and mineralogical approaches.

    Science.gov (United States)

    de Santiago-Martín, Ana; Valverde-Asenjo, Inmaculada; Quintana, Jose R; Vázquez, Antonio; Lafuente, Antonio L; González-Huecas, Concepción

    2013-09-01

    A set of periurban calcareous agricultural Mediterranean soils was spiked with a mixture of Cd, Cu, Pb and Zn at two levels within the limit values proposed by current European legislation, incubated for up to 12 months, and subjected to various one-step extraction procedures to estimate mobile (neutral salts) and potentially mobile metal fractions (complexing and acidic extraction methods). The results obtained were used to study metal extractability patterns according to the soil characteristics. The analytical data were coupled with mineralogical investigations and speciation modelling using the Visual Minteq model. The formation of soluble metal-complexes in the complexing extracts (predicted by the Visual Minteq calculations) led to the highest extraction efficiency with complexing extractants. Metal extractability patterns were related to both content and composition of carbonate, organic matter, Fe oxide and clay fractions. Potentially mobile metal fractions were mainly affected by the finest soil fractions (recalcitrant organic matter, active lime and clay minerals). In the case of Pb, scarce correlations between extractable Pb and soil constituents were obtained which was attributed to high Pb retention due to the formation of 4PbCO3·3PbO (corroborated by X-ray diffraction). In summary, the high metal proportion extracted with complexing agents highlighted the high but finite capacity to store potentially mobilizable metals and the possible vulnerability of these soils against environmental impact from metal accumulation.

  6. Modulation by Polypodium leucotomos extract of cytokine patterns in experimental trichomoniasis model

    Directory of Open Access Journals (Sweden)

    Nogal-Ruiz J.J.

    2003-03-01

    Full Text Available The immunomodulating effects of Anapsos®, an aqueous hydrosoluble extract obtained from the rhizomes of the fern Polypodium leucotomos, on both pathogenicity and cytokine levels in serum (IFN-γ/IL-4 were assayed in a Trichomonas vaginalis experimental model (BALB/c mice infected with 107 trichomonads and examined at day 15 after infection. Doses of 20 mg/kg/day administered for 10 days before the infection with the parasite induced a decrease of the experimental pathogenicity approximately 10-20 % compared to controls. Gross histopathologic changes at abdominal organs and mortality rate, as a consequence of pathogenicity of the protozoa and the immune response of the host, were evaluated. IFN-y and IL-4 cytokines were determined on days -5, 0, 5, 10, and 15 postinfection by indirect ELISA. Treatment with PAL before infection modulates and downregulates the IFN-γ concentration, while anticipates and upregulates the IL-4 level. The assays performed have showed the utility of the murine model of experimental trichomoniasis for the evaluation of immunomodulatory activity of synthetic or natural products.

  7. 全球矿产品定价机制下的利益分配格局分析%Analysis on the pattern of distribution of interests under the current pricing pattern of global mines

    Institute of Scientific and Technical Information of China (English)

    彭颖; 陈其慎

    2014-01-01

    This essay ,firstly introducing the 3 pricing patterns of global mines theoretically ,takes 3 multinational resource corporations and 2 Mines Futures Exchanges as research target .The nationality of the shareholders from these institutions above brings to light ,by consulting the relevant annual reports or financial data bank ,so as to analyze the pattern of distribution of interests under the current pricing pattern of global mines .The shareholders ,either multinational resource corporations or Mines Futures Exchanges above ,consist of financial institutions from Western countries .These shareholders ,by investing on the mineral resources overseas ,became the ultimate controllers of global mines ,which grabbed the super‐profit by several vehicles such as raising the price of frame‐work contract ,manipulating the price of mines futures by the unilateral information or capital superiority ,etc .It is concluded that Western countries are not only the framer for the pricing pattern of global mines ,but also the final beneficiaries through the price surge or fluctuation of mines .%本文首先在理论上介绍了当前国际矿产品市场上的三种定价模式,并选取了必和必拓、埃克森美孚、自由港3家跨国资源公司和美国洲际交易所、伦敦金属交易所为研究对象,通过查阅公司年报、财经数据库等资料归类分析了上述机构股东的背景情况,以期达到分析当前矿产品定价机制下利益分配格局的目的。研究表明,无论是跨国资源公司,还是商品期货交易所,其股东均为西方发达国家的金融机构。这些股东通过早期对海外矿产资源的权益性投资,已经成为国际大宗矿产的实际控制者,他们或通过提高长期协议价格,或利用资金、信息等优势操纵矿产品期货价格,攫取超额利润。从而得出结论:西方发达国家不仅是当前国际矿产品定价规则的制定者,还是国际矿产品价

  8. A novel ionic liquid/micro-volume back extraction procedure combined with flame atomic absorption spectrometry for determination of trace nickel in samples of nutritional interest

    Energy Technology Data Exchange (ETDEWEB)

    Dadfarnia, Shayesteh, E-mail: sdadfarnia@yazduni.ac.ir [Department of Chemistry, Faculty of Science, Yazd University, 89195/74, Yazd (Iran, Islamic Republic of); Haji Shabani, Ali Mohammad; Shirani Bidabadi, Mahboubeh; Jafari, Abbas Ali [Department of Chemistry, Faculty of Science, Yazd University, 89195/74, Yazd (Iran, Islamic Republic of)

    2010-01-15

    A simple, highly sensitive and environment-friendly method for the determination of trace amount of nickel ion in different matrices is proposed. In the preconcentration step, the nickel from 10 mL of an aqueous solution was extracted into 500 {mu}L of ionic liquid, 1-butyl-3-methylimidazolium hexafluorophosphate [C{sub 4}MIM][PF{sub 6}], containing PAN as complexing agent. Subsequently, the PAN complex was back-extracted into 250 {mu}L of nitric acid solution, and 100 {mu}L of it was analyzed by flow injection flame atomic absorption spectrometry (FI-FAAS). The main parameter influencing the extraction and determination of nickel, such as pH, concentration of PAN, extraction time and temperature, ionic strength, and concentration of stripping acid solution, were optimized. An enhancement factor of 40.2 was achieved with 25 mL sample. The limit of detection (LOD) and quantification obtained under the optimum conditions were 12.5 and 41.0 {mu}g L{sup -1}, respectively. To validate the proposed methods two certified reference materials 681-I and BCR No. 288 were analyzed and the results were in good agreement with the certified values. The proposed method was successfully applied to determination of nickel in water samples, rice flour and black tea.

  9. A novel ionic liquid/micro-volume back extraction procedure combined with flame atomic absorption spectrometry for determination of trace nickel in samples of nutritional interest.

    Science.gov (United States)

    Dadfarnia, Shayesteh; Shabani, Ali Mohammad Haji; Bidabadi, Mahboubeh Shirani; Jafari, Abbas Ali

    2010-01-15

    A simple, highly sensitive and environment-friendly method for the determination of trace amount of nickel ion in different matrices is proposed. In the preconcentration step, the nickel from 10 mL of an aqueous solution was extracted into 500 microL of ionic liquid, 1-butyl-3-methylimidazolium hexafluorophosphate [C(4)MIM][PF(6)], containing PAN as complexing agent. Subsequently, the PAN complex was back-extracted into 250 microL of nitric acid solution, and 100 microL of it was analyzed by flow injection flame atomic absorption spectrometry (FI-FAAS). The main parameter influencing the extraction and determination of nickel, such as pH, concentration of PAN, extraction time and temperature, ionic strength, and concentration of stripping acid solution, were optimized. An enhancement factor of 40.2 was achieved with 25 mL sample. The limit of detection (LOD) and quantification obtained under the optimum conditions were 12.5 and 41.0 microg L(-1), respectively. To validate the proposed methods two certified reference materials 681-I and BCR No. 288 were analyzed and the results were in good agreement with the certified values. The proposed method was successfully applied to determination of nickel in water samples, rice flour and black tea.

  10. Extracting patterns of single-trial EEG using an adaptive learning algorithm.

    Science.gov (United States)

    Lin, Chin-Teng; Wang, Yu-Kai; Fang, Chieh-Ning; Yu, Yi-Hsin; King, Jung-Tai

    2015-01-01

    The improvement of brain imaging technique brings about an opportunity for developing and investigating brain-computer interface (BCI) which is a way to interact with computer and environment. The measured brain activities usually constitute the signals of interest and noises. Applying the portable device and removing noise are the benefits to real-world BCI. In this study, one portable electroencephalogram (EEG) system non-invasively acquired brain dynamics through wireless transmission while six subjects participated in the rapid serial visual presentation (RSVP) paradigm. The event-related potential (ERP) was traditionally estimated by ensemble averaging (EA) to increase the signal-to-noise ratio. One adaptive filter of data-reusing radial basis function network (DR-RBFN) was also utilized as the estimator. The results showed that this portable EEG system stably acquired brain activities. Furthermore, the task-related potentials could be clearly explored from the limited samples of EEG data through DR-RBFN. According to the artifact-free data from the portable device, this study demonstrated the potential to move the BCI from laboratory research to real-life application in the near future.

  11. Switched pattern laser projection for real-time depth extraction and visualization through endoscopes

    Science.gov (United States)

    Keller, Kurtis; Ackerman, Jeremy D.; Fuchs, Henry

    2002-09-01

    Gathering depth information through an endoscope or laparoscope during surgical or other procedures is quite difficult. There are stereo laparoscopes but generating three-dimensional models with them is very difficult. Accurate real-time generation of three-dimensional models through a laparoscope is a needed technology to enable a wide range of surgical applications. We have designed a miniature laparoscopic optical system consisting of a single laser whose pattern is modulated and uses the laparoscope as the optical display path into the body. Two cameras, one sensitive to the laser light and the other for full color imaging share this same tube as the laser projector but use the light from the opposite direction. The images gathered by the laser sensitive camera are used to generate a three dimensional map, and the color image is used to acquire the corresponding texture map. High-speed image processing hardware is used to generate 3D information using a structured light technique. The user can then re-render the acquired scene in 3D. The optical system is divided into a removable upper half consisting of the cameras, laser, digital light switches and combining optics. The lower half is the laparoscope or endocope that can be sterilized. There can be several variations in the configuration of the laparoscope optical half that tailor to different procedures.

  12. Automated Extraction of Cranial Landmarks from Computed Tomography Data using a Combined Method of Knowledge and Pattern Based Approaches

    Directory of Open Access Journals (Sweden)

    Roshan N. RAJAPAKSE

    2016-03-01

    Full Text Available Accurate identification of anatomical structures from medical imaging data is a significant and critical function in the medical domain. Past studies in this context have mainly utilized two main approaches, the knowledge and learning methodologies based methods. Further, most of previous reported studies have focused on identification of landmarks from lateral X-ray Computed Tomography (CT data, particularly in the field of orthodontics. However, this study focused on extracting cranial landmarks from large sets of cross sectional CT slices using a combined method of the two aforementioned approaches. The proposed method of this study is centered mainly on template data sets, which were created using the actual contour patterns extracted from CT cases for each of the landmarks in consideration. Firstly, these templates were used to devise rules which are a characteristic of the knowledge based method. Secondly, the same template sets were employed to perform template matching related to the learning methodologies approach. The proposed method was tested on two landmarks, the Dorsum sellae and the Pterygoid plate, using CT cases of 5 subjects. The results indicate that, out of the 10 tests, the output images were within the expected range (desired accuracy in 7 instances and acceptable range (near accuracy for 2 instances, thus verifying the effectiveness of the combined template sets centric approach proposed in this study.

  13. Planktonic foraminifera-derived environmental DNA extracted from abyssal sediments preserves patterns of plankton macroecology

    Science.gov (United States)

    Morard, Raphaël; Lejzerowicz, Franck; Darling, Kate F.; Lecroq-Bennet, Béatrice; Winther Pedersen, Mikkel; Orlando, Ludovic; Pawlowski, Jan; Mulitza, Stefan; de Vargas, Colomban; Kucera, Michal

    2017-06-01

    Deep-sea sediments constitute a unique archive of ocean change, fueled by a permanent rain of mineral and organic remains from the surface ocean. Until now, paleo-ecological analyses of this archive have been mostly based on information from taxa leaving fossils. In theory, environmental DNA (eDNA) in the sediment has the potential to provide information on non-fossilized taxa, allowing more comprehensive interpretations of the fossil record. Yet, the process controlling the transport and deposition of eDNA onto the sediment and the extent to which it preserves the features of past oceanic biota remains unknown. Planktonic foraminifera are the ideal taxa to allow an assessment of the eDNA signal modification during deposition because their fossils are well preserved in the sediment and their morphological taxonomy is documented by DNA barcodes. Specifically, we re-analyze foraminiferal-specific metabarcodes from 31 deep-sea sediment samples, which were shown to contain a small fraction of sequences from planktonic foraminifera. We confirm that the largest portion of the metabarcode originates from benthic bottom-dwelling foraminifera, representing the in situ community, but a small portion (DNA is preserved in a range of marine sediment types, the composition of the recovered eDNA metabarcode is replicable and that both the similarity structure and the diversity pattern are preserved. Our results suggest that sedimentary eDNA could preserve the ecological structure of the entire pelagic community, including non-fossilized taxa, thus opening new avenues for paleoceanographic and paleoecological studies.

  14. 考虑光照影响的静态图像感兴趣区域提取%Approach to Extracting Region of Interests for Static Images Considering Factors of Illumination

    Institute of Scientific and Technical Information of China (English)

    樊万梅; 孙棣华; 赵敏; 张路

    2012-01-01

    Considering the illumination effects,a new region of interest (ROI) extraction algorithm based on edge information is proposed. Baaed on two-dimenaional discrete wavelet transform, the algorithm removes the effects of illumination, then through the acquisition of the edge pixel evaluation further removes the edge produced by the illumination. The region of interest extraction algorithm is employed to extract the corridor region. The results show that the algorithm is efficient in extracting ROI in variety of situations,and avoid the illumination effects.%考虑光照对感兴趣区域提取的影响,提出了一种新的基于边缘的感兴趣区域提取算法.该算法基于二维离散小波变换去除了光照对感兴趣区域的影响;并通过对所采集的边缘像素点评价进一步去除了光照在感兴趣区域产生的阴影边缘.将该算法运用于长途客车过道区域的提取.实验结果表明,提出的算法不仅能实现多种情况下的感兴趣区域的自动准确的提取,还能避免光照的影响.

  15. Planktonic foraminifera-derived environmental DNA extracted from abyssal sediments preserves patterns of plankton macroecology

    Directory of Open Access Journals (Sweden)

    R. Morard

    2017-06-01

    Full Text Available Deep-sea sediments constitute a unique archive of ocean change, fueled by a permanent rain of mineral and organic remains from the surface ocean. Until now, paleo-ecological analyses of this archive have been mostly based on information from taxa leaving fossils. In theory, environmental DNA (eDNA in the sediment has the potential to provide information on non-fossilized taxa, allowing more comprehensive interpretations of the fossil record. Yet, the process controlling the transport and deposition of eDNA onto the sediment and the extent to which it preserves the features of past oceanic biota remains unknown. Planktonic foraminifera are the ideal taxa to allow an assessment of the eDNA signal modification during deposition because their fossils are well preserved in the sediment and their morphological taxonomy is documented by DNA barcodes. Specifically, we re-analyze foraminiferal-specific metabarcodes from 31 deep-sea sediment samples, which were shown to contain a small fraction of sequences from planktonic foraminifera. We confirm that the largest portion of the metabarcode originates from benthic bottom-dwelling foraminifera, representing the in situ community, but a small portion (< 10 % of the metabarcodes can be unambiguously assigned to planktonic taxa. These organisms live exclusively in the surface ocean and the recovered barcodes thus represent an allochthonous component deposited with the rain of organic remains from the surface ocean. We take advantage of the planktonic foraminifera portion of the metabarcodes to establish to what extent the structure of the surface ocean biota is preserved in sedimentary eDNA. We show that planktonic foraminifera DNA is preserved in a range of marine sediment types, the composition of the recovered eDNA metabarcode is replicable and that both the similarity structure and the diversity pattern are preserved. Our results suggest that sedimentary eDNA could preserve the ecological structure of

  16. Experimenting with a Visible Copper-Aluminum Displacement Reaction in Agar Gel and Observing Copper Crystal Growth Patterns to Engage Student Interest and Inquiry

    Science.gov (United States)

    Xu, Xinhua; Wu, Meifen; Wang, Xiaogang; Yang, Yangyiwei; Shi, Xiang; Wang, Guoping

    2016-01-01

    The reaction process of copper-aluminum displacement in agar gel was observed at the microscopic level with a stereomicroscope; pine-like branches of copper crystals growing from aluminum surface into gel at a constant rate were observed. Students were asked to make hypotheses on the pattern formation and design new research approaches to prove…

  17. Optimization and validation of an accelerated laboratory extraction method to estimate nitrogen release patterns of slow- and controlled-release fertilizers.

    Science.gov (United States)

    Medina, L Carolina; Sartain, Jerry B; Obreza, Thomas A; Hall, William L; Thiex, Nancy J

    2014-01-01

    Several technologies have been proposed to characterize the nutrient release and availability patterns of enhanced-efficiency fertilizers (EEFs), especially slow-release fertilizers (SRFs) and controlled-release fertilizers (CRFs) during the last few decades. These technologies have been developed mainly by manufacturers and are product-specific based on the regulation and analysis of each EEF product. Despite previous efforts to characterize EEF materials, no validated method exists to assess their nutrient release patterns. However, the increased use of EEFs in specialty and nonspecialty markets requires an appropriate method to verify nutrient claims and material performance. A series of experiments were conducted to evaluate the effect of temperature, fertilizer test portion size, and extraction time on the performance of a 74 h accelerated laboratory extraction method to measure SRF and CRF nutrient release profiles. Temperature was the only factor that influenced nutrient release rate, with a highly marked effect for phosphorus and to a lesser extent for nitrogen (N) and potassium. Based on the results, the optimal extraction temperature set was: Extraction No. 1-2:00 h at 25 degrees C; Extraction No. 2-2:00 h at 50 degrees C; Extraction No. 3-20:00 h at 55 degrees C; and Extraction No. 4-50:00 h at 60 degrees C. Ruggedness of the method was tested by evaluating the effect of small changes in seven selected factors on method behavior using a fractional multifactorial design. Overall, the method showed ruggedness for measuring N release rates of coated CRFs.

  18. A Definition Extraction Algorithm Combining Hard Pattern Matching and Soft Pattern Matching%一种软/硬模板相结合的定义抽取算法

    Institute of Scientific and Technical Information of China (English)

    钱菲; 袁春风

    2012-01-01

    术语定义抽取是信息抽取研究领域的重要内容之一.文中提出了一种结合硬模板匹配和软模板匹配技术的综合术语定义自动抽取方法.文中首先使用硬模板库对待抽取文本进行了初步的定义句匹配抽取.接着,通过使用基于N元语言模型的软模板匹配模型来计算待匹配文本中每个句子与软模板之间的匹配度,并通过设定匹配得分阈值来抽取定义句或过滤掉错误召回的非定义句.实验结果表明文中的术语定义抽取方法远远优于单纯的硬模板匹配或软模板匹配方法.%Definition extraction is an important topic in the field of information extraction. It proposes a definition extraction method based on both hard pattern matching and soft pattern matching. Firstly, conduct hard matching on candidate sentences and hard patterns. Secondly, n-gram based soft pattern matching model is used to get a matching score between the candidate sentence and the soft pattern. In the second step, an upper threshold is set to recall candidate sentences with a high matching score;A lower threshold is used to rule out some wrongly-recalled sentences by hard matching. The experimental results show that the proposed definition extraction method is far superior to both pure hard pattern matching and soft pattern matching method.

  19. A novel algorithm to detect glaucoma risk using texton and local configuration pattern features extracted from fundus images.

    Science.gov (United States)

    Acharya, U Rajendra; Bhat, Shreya; Koh, Joel E W; Bhandary, Sulatha V; Adeli, Hojjat

    2017-09-01

    Glaucoma is an optic neuropathy defined by characteristic damage to the optic nerve and accompanying visual field deficits. Early diagnosis and treatment are critical to prevent irreversible vision loss and ultimate blindness. Current techniques for computer-aided analysis of the optic nerve and retinal nerve fiber layer (RNFL) are expensive and require keen interpretation by trained specialists. Hence, an automated system is highly desirable for a cost-effective and accurate screening for the diagnosis of glaucoma. This paper presents a new methodology and a computerized diagnostic system. Adaptive histogram equalization is used to convert color images to grayscale images followed by convolution of these images with Leung-Malik (LM), Schmid (S), and maximum response (MR4 and MR8) filter banks. The basic microstructures in typical images are called textons. The convolution process produces textons. Local configuration pattern (LCP) features are extracted from these textons. The significant features are selected using a sequential floating forward search (SFFS) method and ranked using the statistical t-test. Finally, various classifiers are used for classification of images into normal and glaucomatous classes. A high classification accuracy of 95.8% is achieved using six features obtained from the LM filter bank and the k-nearest neighbor (kNN) classifier. A glaucoma integrative index (GRI) is also formulated to obtain a reliable and effective system. Copyright © 2017 Elsevier Ltd. All rights reserved.

  20. Event patterns extracted from top quark-related spectra in proton-proton collisions at 8 TeV

    CERN Document Server

    Chen, Ya-Hui; Lacey, Roy A

    2016-01-01

    We analyze the transverse momentum ($p_T$) and rapidity ($y$) spectra of top quark pairs, hadronic top quarks, and top quarks produced in proton-proton ($pp$) collisions at center-of-mass energy $\\sqrt{s}=8$ TeV. For $p_T$ spectra, we use the superposition of the inverse power-law suggested by the QCD (quantum chromodynamics) calculus and the Erlang distribution resulted from a multisource thermal model. For $y$ spectra, we use the two-component Gaussian function resulted from the revised Landau hydrodynamic model. The modelling results are in agreement with the experimental data measured at the detector level, in the fiducial phase-space, and in the full phase-space by the ATLAS Collaboration at the Large Hadron Collider (LHC). Based on the parameter values extracted from $p_T$ and $y$ spectra, the event patterns in three-dimensional velocity ($\\beta_x$-$\\beta_y$-$\\beta_z$), momentum ($p_x$-$p_y$-$p_z$), and rapidity ($y_1$-$y_2$-$y$) spaces are obtained, and the probability distributions of these components...

  1. The Application of the Web Text Mining in the Druggist Interest Extraction%Web文本挖掘在药商兴趣提取中的应用

    Institute of Scientific and Technical Information of China (English)

    孙士新

    2014-01-01

    The information attainment has become the important component of the druggist's business operation and the market judgment basis. The appearance of the largely unstructured and semi-structured network has provided the technology space and the demonstration basis for the druggist's individual service. Through the critical technology of the text mining in individual service,the paper,combining the Traditional Chinese Medicinal Materials information website,has actually applied the text mining process, and applies the text mining technology to the example of the user's interest attainment about the Traditional Chinese Medicinal Materials information website.%信息获取已成为药商经营活动的重要组成部分和市场判断依据,网络大量非结构化、半结构化信息的出现为药商个性化服务提供了技术空间和实证依据。文章通过对个性化服务中文本挖掘的关键技术进行设计,并应用了中药材信息网站文本挖掘流程,把文本挖掘技术应用于中药材信息网站的用户兴趣获取实例中,实现用户兴趣的自动获取功能。

  2. Pattern recognition analysis of proton nuclear magnetic resonance spectra of brain tissue extracts from rats anesthetized with propofol or isoflurane.

    Directory of Open Access Journals (Sweden)

    Hiroshi Kawaguchi

    Full Text Available BACKGROUND: General anesthesia is routinely used as a surgical procedure and its safety has been endorsed by clinical outcomes; however, its effects at the molecular level have not been elucidated. General anesthetics influence glucose metabolism in the brain. However, the effects of anesthetics on brain metabolites other than those related to glucose have not been well characterized. We used a pattern recognition analysis of proton nuclear magnetic resonance spectra to visualize the changes in holistic brain metabolic phenotypes in response to the widely used intravenous anesthetic propofol and the volatile anesthetic isoflurane. METHODOLOGY/PRINCIPAL FINDINGS: Rats were randomized into five groups (n = 7 each group. Propofol and isoflurane were administered to two groups each, for 2 or 6 h. The control group received no anesthesia. Brains were removed directly after anesthesia. Hydrophilic compounds were extracted from excised whole brains and measured by proton nuclear magnetic resonance spectroscopy. All spectral data were processed and analyzed by principal component analysis for comparison of the metabolite profiles. Data were visualized by plotting principal component (PC scores. In the plots, each point represents an individual sample. The propofol and isoflurane groups were clustered separately on the plots, and this separation was especially pronounced when comparing the 6-h groups. The PC scores of the propofol group were clearly distinct from those of the control group, particularly in the 6-h group, whereas the difference in PC scores was more subtle in the isoflurane group and control groups. CONCLUSIONS/SIGNIFICANCE: The results of the present study showed that propofol and isoflurane exerted differential effects on holistic brain metabolism under anesthesia.

  3. 机器人抓取中的图像特征点提取算法及DSP实现%Interest Point Extraction Algorithm for Robotic Grasp and Implementation on DSP

    Institute of Scientific and Technical Information of China (English)

    胡攀; 吴裕斌; 曹丹华

    2015-01-01

    Quick extraction of the image feature point set in different perspectives was needed in robust grasp technology to re -alize pose estimation based on characteristics .Traditional image interest point extraction methods are time-consuming,and it is hard to perform in real-time and duplicate to implement on DSP embedded platform .Aiming at industrial applications , a new interest point extraction method based on SURF and moment invariants was proposed .The local moment invariants were introduced to resist illumination change and affine transform ,which constructs only a 4-dimensional descriptor .And the DSP-specified optimization was conducted systematically .Experiments show that the algorithm can process nearly 7 images per second on the DSP platform ,with the stability under changing illumination and affine transformation .%在视觉引导的机器人抓取技术中,需要快速提取不同视角图像的特征点集,实现基于特征的姿态估计。传统的特征点提取算法十分耗时,并难以在基于DSP的嵌入式图像处理平台上实现。针对工业应用场景,提出了一种基于简化SURF和不变矩的特征点提取算法,引入了一个4维的局部不变矩作为特征描述子。算法针对DSP 平台进行了优化,测试达到了7帧/s的运行速度,并满足一定程度的光照和仿射不变性。

  4. Patterns of variation of intertidal species of commercial interest in the Parque Litoral Norte (north Portugal) MPA: comparison with three reference shores.

    Science.gov (United States)

    Bertocci, Iacopo; Dominguez, Rula; Freitas, Cristiano; Sousa-Pinto, Isabel

    2012-06-01

    Marine Protected Areas (MPAs) are world-wide established with the aim of conserving biodiversity and preventing overexploitation of marine organisms. Evaluating the effectiveness of MPAs is needed in order to support and implement their management, but it is complicated by the large natural variability in space and time of distribution and abundance of natural populations. Here, we tested the hypothesis that patterns of total abundance and size-frequency distribution of two intensively harvested intertidal species (the sea urchin Paracentrotus lividus and the mussel Mytilus galloprovincialis) differed between a protected and three reference shores along the rocky coast of north Portugal. Response variables were in terms of mean values and measures of variance at different spatial scales (from centimetres to metres) and over time (along a period of about 12 months). A further comparison involved the estimation of the reproductive potential of sea urchins, quantified as variations of Gonad Index (GI = gonad dry weight/body dry weight × 100) at the scale of shore. Results did not generally support a predictable direct effect of protection, as the total abundance and the abundance of larger individuals of both species and GI did not differ between the MPA and reference shores. However, a considerable temporal and spatial variability at smaller scales was detected for several response variables. Such findings have implications for management of MPAs, highlighting the need for sampling designs properly replicated in space and time, in order to examine their effectiveness, and for considering spatial and temporal heterogeneity of target populations and driving processes as a criterion for their implementation and design.

  5. Extracting time-frequency feature of single-channel vastus medialis EMG signals for knee exercise pattern recognition

    Science.gov (United States)

    Zhu, Xuyang; Su, Steven W.; Guo, Qing; Xu, Peng; Yao, Dezhong

    2017-01-01

    The EMG signal indicates the electrophysiological response to daily living of activities, particularly to lower-limb knee exercises. Literature reports have shown numerous benefits of the Wavelet analysis in EMG feature extraction for pattern recognition. However, its application to typical knee exercises when using only a single EMG channel is limited. In this study, three types of knee exercises, i.e., flexion of the leg up (standing), hip extension from a sitting position (sitting) and gait (walking) are investigated from 14 healthy untrained subjects, while EMG signals from the muscle group of vastus medialis and the goniometer on the knee joint of the detected leg are synchronously monitored and recorded. Four types of lower-limb motions including standing, sitting, stance phase of walking, and swing phase of walking, are segmented. The Wavelet Transform (WT) based Singular Value Decomposition (SVD) approach is proposed for the classification of four lower-limb motions using a single-channel EMG signal from the muscle group of vastus medialis. Based on lower-limb motions from all subjects, the combination of five-level wavelet decomposition and SVD is used to comprise the feature vector. The Support Vector Machine (SVM) is then configured to build a multiple-subject classifier for which the subject independent accuracy will be given across all subjects for the classification of four types of lower-limb motions. In order to effectively indicate the classification performance, EMG features from time-domain (e.g., Mean Absolute Value (MAV), Root-Mean-Square (RMS), integrated EMG (iEMG), Zero Crossing (ZC)) and frequency-domain (e.g., Mean Frequency (MNF) and Median Frequency (MDF)) are also used to classify lower-limb motions. The five-fold cross validation is performed and it repeats fifty times in order to acquire the robust subject independent accuracy. Results show that the proposed WT-based SVD approach has the classification accuracy of 91.85%±0.88% which

  6. Dietary patterns extracted from the current Japanese diet and their associations with sodium and potassium intakes estimated by repeated 24 h urine collection.

    Science.gov (United States)

    Fujiwara, Aya; Asakura, Keiko; Uechi, Ken; Masayasu, Shizuko; Sasaki, Satoshi

    2016-10-01

    To identify dietary patterns in the current Japanese diet and evaluate the associations between these patterns and Na and K intakes. Dietary patterns were extracted by factor analysis from the intakes of food groups assessed with a validated self-administrated diet history questionnaire. Na and K intakes and urinary Na:K were assessed by repeated 24 h urine collection. Healthy Japanese adults aged 20-69 years (353 men and 349 women). Twenty study areas in twenty-three prefectures in Japan. Result Four dietary patterns were identified in each sex. After adjustment for several confounding factors, the 'Fish and vegetable' pattern was associated with higher urinary Na excretion, but the association was not significant (P=0·37 in men and P=0·06 in women). This pattern was also associated with higher K excretion in both sexes. The 'Noodle' pattern tended to be associated with higher urinary Na excretion (P=0·17 in men and P=0·04 in women) and higher Na:K (P=0·02 in men). The 'Meat, vegetable and oil' (in men)/'Meat and oil' (in women) and 'Bread and confectioneries' patterns were not associated with urinary Na excretion (in men) or were negatively associated (in women). Contrary to the case in Western countries, the 'Fish and vegetable' and 'Noodle' patterns contributed to higher Na intake in Japan. Target foods for salt reduction should be set based on careful consideration of the relationships between dietary patterns and Na and K intakes in the target population.

  7. Spectral feature extraction of EEG signals and pattern recognition during mental tasks of 2-D cursor movements for BCI using SVM and ANN.

    Science.gov (United States)

    Bascil, M Serdar; Tesneli, Ahmet Y; Temurtas, Feyzullah

    2016-09-01

    Brain computer interface (BCI) is a new communication way between man and machine. It identifies mental task patterns stored in electroencephalogram (EEG). So, it extracts brain electrical activities recorded by EEG and transforms them machine control commands. The main goal of BCI is to make available assistive environmental devices for paralyzed people such as computers and makes their life easier. This study deals with feature extraction and mental task pattern recognition on 2-D cursor control from EEG as offline analysis approach. The hemispherical power density changes are computed and compared on alpha-beta frequency bands with only mental imagination of cursor movements. First of all, power spectral density (PSD) features of EEG signals are extracted and high dimensional data reduced by principle component analysis (PCA) and independent component analysis (ICA) which are statistical algorithms. In the last stage, all features are classified with two types of support vector machine (SVM) which are linear and least squares (LS-SVM) and three different artificial neural network (ANN) structures which are learning vector quantization (LVQ), multilayer neural network (MLNN) and probabilistic neural network (PNN) and mental task patterns are successfully identified via k-fold cross validation technique.

  8. Extracting seasonal cropping patterns using multi-temporal vegetation indices from IRS LISS-III data in Muzaffarpur District of Bihar, India

    Directory of Open Access Journals (Sweden)

    Saptarshi Mondal

    2014-12-01

    Full Text Available The advancement in satellite technology in terms of spatial, temporal, spectral and radiometric resolutions leads, successfully, to more specific and intensified research on agriculture. Automatic assessment of spatio-temporal cropping pattern and extent at multi-scale (community level, regional level and global level has been a challenge to researchers. This study aims to develop a semi-automated approach using Indian Remote Sensing (IRS satellite data and associated vegetation indices to extract annual cropping pattern in Muzaffarpur district of Bihar, India at a fine scale (1:50,000. Three vegetation indices (VIs – NDVI, EVI2 and NDSBVI, were calculated using three seasonal (Kharif, Rabi and Zaid IRS Resourcesat 2 LISS-III images. Threshold reference values for vegetation and non-vegetation thematic classes were extracted based on 40 training samples over each of the seasonal VI. Using these estimated value range a decision tree was established to classify three seasonal VI stack images which reveals seven different cropping patterns and plantation. In addition, a digitised reference map was also generated from multi-seasonal LISS-III images to check the accuracy of the semi-automatically extracted VI based classified image. The overall accuracies of 86.08%, 83.1% and 83.3% were achieved between reference map and NDVI, EVI2 and NDSBVI, respectively. Plantation was successfully identified in all cases with 96% (NDVI, 95% (EVI2 and 91% (NDSBVI accuracy.

  9. Deep Web result pattern extracting based on heuristic information%基于启发式信息的Deep Web结果模式获取方法

    Institute of Scientific and Technical Information of China (English)

    李明; 李秀兰

    2011-01-01

    获取模式信息是深入研究Deep Web数据的必要步骤,针对Deep Web结果模式结构信息的丢失问题,提出了一种基于启发式信息的Deep Web结果模式获取方法.通过解析Deep Web结果页面数据,利用启发式信息为结果页面数据添加正确的属性名,进而得到对应Deep Web的结果模式,并对其进行规范化处理,解决不同数据源结果模式的结构不一致问题.实验验证该方法可以有效地获取Deep Web的结果模式信息.%Extracting schema information is the necessary step in the Deep Web data research, to address the loss problem of Deep Web result schema information, this paper proposed a novel approach Deep Web result pattern extracting based on heuristic information. Through analyzing Deep Web result page data and adding correct attribute names to result pages data by heuristic information, it obtained the corresponding of Deep Web result pattern. Moreover, it solved the structure conflict by standardized treatment. Experimental results show that the method can effectively extract result pattern.

  10. Short Interest and Stock Returns

    OpenAIRE

    Paul Asquith; Pathak, Parag A.; Jay R. Ritter

    2004-01-01

    Using a longer time period and both NYSE-Amex and Nasdaq stocks, this paper examines short interest and stock returns in more detail than any previous study and finds that many documented patterns are not robust. While equally weighted high short interest portfolios generally underperform, value weighted portfolios do not. In addition, there is a negative correlation between market returns and short interest over our whole period. Finally, inferences from short time periods, such as 1988-1994...

  11. Two-stage extraction method for flight delay pattern%一种两阶段的航班延误模式提取方法

    Institute of Scientific and Technical Information of China (English)

    孟会芳; 彭怡

    2015-01-01

    For the problem of severer flight delays, based on the relative research achievements in domestic and aboard, this paper proposes a two-stage method for extracting flight delay patterns. Firstly, this method uses the phase-space reconstruction theory and Recurrence Plot to analyze the chaotic characteristics of flight delay rate. Then, after acquiring the delay time subsequences, the Recursive Quantitative Analysis and K-means Clustering technology were used to extract flight delay patterns, and the characteristics of time-varying of flight delay patterns were analyzed. Finally, the example verifies this method can not only effectively extract flight delay patterns, but also can get the time-varying characteristics of the patterns. The result provides managerial and decisive reference of prediction and warning of flight delay for airports and airlines.%针对民航运输系统日益严重的航班延误问题,提出一种两阶段的航班延误模式提取方法.该方法运用相空间重构理论和递归图方法,对航班延误率的混沌特性进行分析.然后,在获取延误率子序列的基础上,结合定量递归分析理论,采用K-means聚类技术提取航班延误模式,并对各种延误模式进行时变分析.实例验证表明,该方法不但能有效地提取航班延误模式,而且可以获取延误模式的时变特征,研究成果对机场和航空公司航班延误预测及预警提供了管理决策依据.

  12. 融合用户兴趣模型与会话抽取的微博推荐方法%Microblog recommendation method based on user interest model and conversation extraction scheme

    Institute of Scientific and Technical Information of China (English)

    马慧芳; 姚伟; 贾美惠子; 崔彤

    2015-01-01

    Aiming at the deficiency of conventional recommendation method in short text message processing,this paper pro-posed a microblog recommendation method based on user interest model and conversation extraction.First,it applied a Ncut_weighted non-negative matrix factorization (Ncut_weighted NMF)to obtain user-interest matrix.And then used Single-Pass clustering based on frequency and correlation for conversation extraction to obtain microblog conversation.Experiments show that this method can effectively cluster micro-blogs and support micro-blog recommendation.%针对传统推荐方法在短文本处理方面的不足,提出一种基于用户兴趣模型与会话抽取算法的微博推荐方法。该方法应用基于归一化割加权NMF的微博用户兴趣模型获取用户—主题矩阵,产生用户感兴趣的微博主题,结合基于Single-Pass 聚类模型的会话在线抽取算法SPFC(single-pass based on frequency and correlation)获取微博的会话队列,并与用户感兴趣的微博主题进行相似度计算,最后得到实时的微博推荐结果。实验表明,此方法能有效地进行微博推荐。

  13. Seeking unique and common biological themes in multiple gene lists or datasets: pathway pattern extraction pipeline for pathway-level comparative analysis

    Directory of Open Access Journals (Sweden)

    Che Anney

    2009-06-01

    Full Text Available Abstract Background One of the challenges in the analysis of microarray data is to integrate and compare the selected (e.g., differential gene lists from multiple experiments for common or unique underlying biological themes. A common way to approach this problem is to extract common genes from these gene lists and then subject these genes to enrichment analysis to reveal the underlying biology. However, the capacity of this approach is largely restricted by the limited number of common genes shared by datasets from multiple experiments, which could be caused by the complexity of the biological system itself. Results We now introduce a new Pathway Pattern Extraction Pipeline (PPEP, which extends the existing WPS application by providing a new pathway-level comparative analysis scheme. To facilitate comparing and correlating results from different studies and sources, PPEP contains new interfaces that allow evaluation of the pathway-level enrichment patterns across multiple gene lists. As an exploratory tool, this analysis pipeline may help reveal the underlying biological themes at both the pathway and gene levels. The analysis scheme provided by PPEP begins with multiple gene lists, which may be derived from different studies in terms of the biological contexts, applied technologies, or methodologies. These lists are then subjected to pathway-level comparative analysis for extraction of pathway-level patterns. This analysis pipeline helps to explore the commonality or uniqueness of these lists at the level of pathways or biological processes from different but relevant biological systems using a combination of statistical enrichment measurements, pathway-level pattern extraction, and graphical display of the relationships of genes and their associated pathways as Gene-Term Association Networks (GTANs within the WPS platform. As a proof of concept, we have used the new method to analyze many datasets from our collaborators as well as some public

  14. Denoising by coupled partial differential equations and extracting phase by backpropagation neural networks for electronic speckle pattern interferometry.

    Science.gov (United States)

    Tang, Chen; Lu, Wenjing; Chen, Song; Zhang, Zhen; Li, Botao; Wang, Wenping; Han, Lin

    2007-10-20

    We extend and refine previous work [Appl. Opt. 46, 2907 (2007)]. Combining the coupled nonlinear partial differential equations (PDEs) denoising model with the ordinary differential equations enhancement method, we propose the new denoising and enhancing model for electronic speckle pattern interferometry (ESPI) fringe patterns. Meanwhile, we propose the backpropagation neural networks (BPNN) method to obtain unwrapped phase values based on a skeleton map instead of traditional interpolations. We test the introduced methods on the computer-simulated speckle ESPI fringe patterns and experimentally obtained fringe pattern, respectively. The experimental results show that the coupled nonlinear PDEs denoising model is capable of effectively removing noise, and the unwrapped phase values obtained by the BPNN method are much more accurate than those obtained by the well-known traditional interpolation. In addition, the accuracy of the BPNN method is adjustable by changing the parameters of networks such as the number of neurons.

  15. Finding Sequential Patterns from Large Sequence Data

    CERN Document Server

    Esmaeili, Mahdi

    2010-01-01

    Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mining, and sequential pattern mining. Sequential pattern mining finds sets of data items that occur together frequently in some sequences. Sequential pattern mining, which extracts frequent subsequences from a sequence database, has attracted a great deal of interest during the recent data mining research because it is the basis of many applications, such as: web user analysis, stock trend prediction, DNA sequence analysis, finding language or linguistic patterns from natural language texts, and using the history of symptoms to predict certain kind of disease. The diversity of the applications may not be possible to apply a single sequential pattern model to all these problems. Each application may require a unique model and solution. A number of research projects were established in recent years to develop meaningful sequential pattern...

  16. Efficacy of Cistanche Tubulosa and Laminaria Japonica Extracts (MK-R7) Supplement in Preventing Patterned Hair Loss and Promoting Scalp Health.

    Science.gov (United States)

    Seok, Joon; Kim, Tae Su; Kwon, Hyun Jung; Lee, Sung Pyo; Kang, Myung Hwa; Kim, Beom Joon; Kim, Myeung Nam

    2015-04-01

    Cistanche tubulosa and Laminaria japonica have been reported to have anti-oxidative, anticoagulant, anti-cancer and anti-inflammatory properties. They are expected to be a promising candidates for promoting hair growth and treating dandruff and scalp inflammation as a consequence. In this double-blinded, placebo-controlled clinical trial, we investigated the efficacy of Cistanche tubulosa extract and Laminaria japonica extract complex (MK-R7) in promoting hair health in patients with mild to moderate patterned hair loss. Using phototrichogram (Folliscope 4.0, LeadM, Seoul, Korea), we compared the density and diameter of hairs in patients receiving a placebo or Cistanche tubulosa extract and Laminaria japonica extract complex (MK-R7) at baseline, 8 and 16 weeks of the study. In order to determine the efficacy of treatment on dandruff and scalp inflammation, investigator's assessment score and patient's subjective score were also performed. We found a statistically significant increase in the hair density of the test group (n = 45, MK-R7 400 mg) after 16 weeks of consuming the MK-R7 (test group: 23.29 n/cm(2) ± 24.26, control: 10.35 n/cm(2) ± 20.08, p hair diameter in the test group compared to control group at week 16 (test group: 0.018 mm ± 0.015, control: 0.003 mm ± 0.013, p hair.

  17. Volatile flavour constituent patterns of Terras Madeirenses red wines extracted by dynamic headspace solid-phase microextraction.

    Science.gov (United States)

    Perestrelo, Rosa; Caldeira, Michael; Rodrigues, Freddy; Câmara, José S

    2008-06-01

    A suitable analytical procedure based on static headspace solid-phase microextraction (SPME) followed by thermal desorption gas chromatography-ion trap mass spectrometry detection (GC-(ITD)MS), was developed and applied for the qualitative and semi-quantitative analysis of volatile components of Portuguese Terras Madeirenses red wines. The headspace SPME method was optimised in terms of fibre coating, extraction time, and extraction temperature. The performance of three commercially available SPME fibres, viz. 100 mum polydimethylsiloxane; 85 mum polyacrylate, PA; and 50/30 mum divinylbenzene/carboxen on polydimethylsiloxane, was evaluated and compared. The highest amounts extracted, in terms of the maximum signal recorded for the total volatile composition, were obtained with a PA coating fibre at 30 degrees C during an extraction time of 60 min with a constant stirring at 750 rpm, after saturation of the sample with NaCl (30%, w/v). More than sixty volatile compounds, belonging to different biosynthetic pathways, have been identified, including fatty acid ethyl esters, higher alcohols, fatty acids, higher alcohol acetates, isoamyl esters, carbonyl compounds, and monoterpenols/C(13)-norisoprenoids.

  18. Sexual affordances, perceptual-motor invariance extraction and intentional nonlinear dynamics: sexually deviant and non-deviant patterns in male subjects.

    Science.gov (United States)

    Renaud, Patrice; Goyette, Mathieu; Chartier, Sylvain; Zhornitski, Simon; Trottier, Dominique; Rouleau, Joanne-L; Proulx, Jean; Fedoroff, Paul; Bradford, John-P; Dassylva, Benoit; Bouchard, Stephane

    2010-10-01

    Sexual arousal and gaze behavior dynamics are used to characterize deviant sexual interests in male subjects. Pedophile patients and non-deviant subjects are immersed with virtual characters depicting relevant sexual features. Gaze behavior dynamics as indexed from correlation dimensions (D2) appears to be fractal in nature and significantly different from colored noise (surrogate data tests and recurrence plot analyses were performed). This perceptual-motor fractal dynamics parallels sexual arousal and differs from pedophiles to non-deviant subjects when critical sexual information is processed. Results are interpreted in terms of sexual affordance, perceptual invariance extraction and intentional nonlinear dynamics.

  19. Study jitter amplification of a passive channel and investigation of S21 magnitude extraction methodologies using a pattern generator and oscilloscope

    Science.gov (United States)

    Guo, Xinyun

    Recently the clock channel jitter amplification has been observed in several publications. Currently in many high-speed I/O systems, to avoid the cost and the complex clock recovery circuit design, people use traces forwarding clock signal from transmitting IC to receiving IC. When these clock traces are long enough, the amount of attenuation will induce not only inter-symbol-interference (ISI) but also modulate with the input jitter. Eventually it will lead some type of jitter been amplified after the channel. Similarly, the high speed communication channel (data channel) will also face this issue. Since there are no studies on the jitter amplification in a data channel, it will be studied in this section. This part of study includes verifying and confirming this phenomenon in a clock channel. In addition, a more generalized periodic jitter amplification equation has been developed. Then, it compared different types of jitter amplification after lossy channels using different data patterns as sources. A set of numerical algorithms for monitor jitter amplification has been developed using Matlab code. The second part of the thesis is to investigate S 21 magnitude extraction methods using an oscilloscope and pattern generator. S-parameter measurements of a digital link path are measured with VNAs or high-end TDRs. For multi-port in-situ measurements, these become inconvenient and time consuming. However, it can be handled more conveniently in the time domain (TD) by using a pattern generator and a multi-channel sampling oscilloscope, which are used for eye-diagram measurements. This part of work outlines and compares three methods to extract S21 magnitude from the time domain measurements using a pattern generator and a sampling oscilloscope for any channel. The setup differs in terms of the input waveform and the processing. The comparison provides insight into the advantages and limitations of each method.

  20. Behavior patterns of cows with Charolais or Nellore breed predominance fed diets with plant extract or monensin sodium

    Directory of Open Access Journals (Sweden)

    Luciane Rumpel Segabinazzi

    2011-12-01

    Full Text Available The objective of this research was to study the ingestive behavior of feedlot cows fed additives based on plant extracts or monensin sodium. Twenty-four Charolais and Nellore crossbred cows with age and average initial weight of 7 years and 423 kg, respectively, were used. The experimental diets were plant extracts: basal diet + 5 g/animal/day of a natural additive composed of 750 mg of essential oil of thyme (Thymus vulgaris, 150 mg of garlic (Allium sativum, 250 mg of rosemary extract (Rosmarimus officinalis, 250 mg of canola oil (Brassica napus, 250 mg extract of quillaja (Quillaja saponaria, and 3350 mg of corn starch; sodium monensin: basal diet + 300 mg/monensin/animal/day; and control: basal diet without additive. The basal diet contained sorghum silage and concentrate in a 62:38 ratio. The experimental design was completely randomized with a 3 × 2 (3 diets and 2 breed predominances factorial arrangement, and means were compared using DMS test at 5% of significance. The type of additive consumed did not alter animal feeding behavior. Cows with Charolais predominance consumed more dry matter (13.78 vs. 12.38 kg/day and neutral detergent fiber (7.81 vs. 6.89 kg/day, ruminated for longer (8.47 vs. 7.82 h, spent more time chewing (13.05 vs 12.01 h, had a greater number of chews per minute (58.88 vs 53.21 and a greater number of ruminal bolus (541.43 vs. 464.09 boluses/day; however, cows with Nellore predominance had greater idling time (11.82 vs. 10.74 h.

  1. How Players Lose Interest in Playing a Game

    DEFF Research Database (Denmark)

    Bauckhage, Christian; Kersting, Kristian; Sifa, Rafet

    2012-01-01

    Analyzing telemetry data of player behavior in computer games is a topic of increasing interest for industry and research, alike. When applied to game telemetry data, pattern recognition and statistical analysis provide valuable business intelligence tools for game development. An important problem...... introduce methods from random process theory into game data mining in order to draw inferences about player engagement. Given large samples (over 250,000 players) of behavioral telemetry data from five different action-adventure and shooter games, we extract information as to how long individual players...... have played these games and apply techniques from lifetime analysis to identify common patterns. In all five cases, we find that the Weibull distribution gives a good account of the statistics of total playing times. This implies that an average player’s interest in playing one of the games considered...

  2. Analysis of active patents to investigate the frequency and patterns of Chinese herbal extract combinations claiming to treat heart disease

    Directory of Open Access Journals (Sweden)

    Jiangxue Cheng

    2016-04-01

    Conclusion: Most of the high-frequency Chinese herbs in the patents investigated belong to the high-frequency herbal families, and herb pairs were commonly selected to coincide with the commonly-used herbal family pairs. Low-frequency Chinese herbs were also used, but generally belonged to the high-frequency herbal families, and were therefore similar to the high-frequency herbs in terms of traditional categories of taste and channel entered. The results reflect the use of traditional principles of formula composition, and suggest that these principles may indeed be an effective guide for further research and development of Chinese herbal extract combinations to prevent and treat heart diseases.

  3. Extraction of neural control commands using myoelectric pattern recognition: a novel application in adults with cerebral palsy.

    Science.gov (United States)

    Liu, Jie; Li, Xiaoyan; Marciniak, Christina; Rymer, William Zev; Zhou, Ping

    2014-11-01

    This study investigates an electromyogram (EMG)-based neural interface toward hand rehabilitation for patients with cerebral palsy (CP). Forty-eight channels of surface EMG signals were recorded from the forearm of eight adult subjects with CP, while they tried to perform six different hand grasp patterns. A series of myoelectric pattern recognition analyses were performed to identify the movement intention of each subject with different EMG feature sets and classifiers. Our results indicate that across all subjects high accuracies (average overall classification accuracy > 98%) can be achieved in classification of six different hand movements, suggesting that there is substantial motor control information contained in paretic muscles of the CP subjects. Furthermore, with a feature selection analysis, it was found that a small number of ranked EMG features can maintain high classification accuracies comparable to those obtained using all the EMG features (average overall classification accuracy > 96% with 16 selected EMG features). The findings of the study suggest that myoelectric pattern recognition may be a useful control strategy for promoting hand rehabilitation in CP patients.

  4. Towards Evidence-based Precision Medicine: Extracting Population Information from Biomedical Text using Binary Classifiers and Syntactic Patterns

    Science.gov (United States)

    Raja, Kalpana; Dasot, Naman; Goyal, Pawan; Jonnalagadda, Siddhartha R

    2016-01-01

    Precision Medicine is an emerging approach for prevention and treatment of disease that considers individual variability in genes, environment, and lifestyle for each person. The dissemination of individualized evidence by automatically identifying population information in literature is a key for evidence-based precision medicine at the point-of-care. We propose a hybrid approach using natural language processing techniques to automatically extract the population information from biomedical literature. Our approach first implements a binary classifier to classify sentences with or without population information. A rule-based system based on syntactic-tree regular expressions is then applied to sentences containing population information to extract the population named entities. The proposed two-stage approach achieved an F-score of 0.81 using a MaxEnt classifier and the rule- based system, and an F-score of 0.87 using a Nai've-Bayes classifier and the rule-based system, and performed relatively well compared to many existing systems. The system and evaluation dataset is being released as open source. PMID:27570671

  5. Nanostructure surface patterning of GaN thin films and application to AlGaN/AlN multiple quantum wells: A way towards light extraction efficiency enhancement of III-nitride based light emitting diodes

    Energy Technology Data Exchange (ETDEWEB)

    Guo, Wei, E-mail: wguo2@ncsu.edu; Kirste, Ronny; Bryan, Zachary; Bryan, Isaac; Collazo, Ramón; Sitar, Zlatko [Department of Materials Science and Engineering, North Carolina State University, Raleigh, North Carolina 27695-7919 (United States); Gerhold, Michael [Engineering Science Directorate, Army Research Office, Research Triangle Park, North Carolina 27703 (United States)

    2015-03-21

    Enhanced light extraction efficiency was demonstrated on nanostructure patterned GaN and AlGaN/AlN Multiple-Quantum-Well (MQW) structures using mass production techniques including natural lithography and interference lithography with feature size as small as 100 nm. Periodic nanostructures showed higher light extraction efficiency and modified emission profile compared to non-periodic structures based on integral reflection and angular-resolved transmission measurement. Light extraction mechanism of macroscopic and microscopic nanopatterning is discussed, and the advantage of using periodic nanostructure patterning is provided. An enhanced photoluminescence emission intensity was observed on nanostructure patterned AlGaN/AlN MQW compared to as-grown structure, demonstrating a large-scale and mass-producible pathway to higher light extraction efficiency in deep-ultra-violet light-emitting diodes.

  6. Nanostructure surface patterning of GaN thin films and application to AlGaN/AlN multiple quantum wells: A way towards light extraction efficiency enhancement of III-nitride based light emitting diodes

    Science.gov (United States)

    Guo, Wei; Kirste, Ronny; Bryan, Zachary; Bryan, Isaac; Gerhold, Michael; Collazo, Ramón; Sitar, Zlatko

    2015-03-01

    Enhanced light extraction efficiency was demonstrated on nanostructure patterned GaN and AlGaN/AlN Multiple-Quantum-Well (MQW) structures using mass production techniques including natural lithography and interference lithography with feature size as small as 100 nm. Periodic nanostructures showed higher light extraction efficiency and modified emission profile compared to non-periodic structures based on integral reflection and angular-resolved transmission measurement. Light extraction mechanism of macroscopic and microscopic nanopatterning is discussed, and the advantage of using periodic nanostructure patterning is provided. An enhanced photoluminescence emission intensity was observed on nanostructure patterned AlGaN/AlN MQW compared to as-grown structure, demonstrating a large-scale and mass-producible pathway to higher light extraction efficiency in deep-ultra-violet light-emitting diodes.

  7. Marker-based classification of young-elderly gait pattern differences via direct PCA feature extraction and SVMs.

    Science.gov (United States)

    Eskofier, Bjoern M; Federolf, Peter; Kugler, Patrick F; Nigg, Benno M

    2013-04-01

    The classification of gait patterns has great potential as a diagnostic tool, for example, for the diagnosis of injury or to identify at-risk gait in the elderly. The purpose of the paper is to present a method for classifying group differences in gait pattern by using the complete spatial and temporal information of the segment motion quantified by the markers. The classification rates that are obtained are compared with previous studies using conventional classification features. For our analysis, 37 three-dimensional marker trajectories were collected from each of our 24 young and 24 elderly female subjects while they were walking on a treadmill. Principal component analysis was carried out on these trajectories to retain the spatial and temporal information in the markers. Using a Support Vector Machine with a linear kernel, a classification rate of 95.8% was obtained. This classification approach also allowed visualisation of the contribution of individual markers to group differentiation in position and time. The approach made no specific assumptions and did not require prior knowledge of specific time points in the gait cycle. It is therefore directly applicable for group classification tasks in any study involving marker measurements.

  8. 中国社会政治发展格局与“无直接利益冲突”%The Political Development Pattern of Chinese Society and Non-direct Conflicts of Interest

    Institute of Scientific and Technical Information of China (English)

    王艳成; 查一宁

    2014-01-01

    Political development and Non -direct Conflicts of Interest lead to four characteristics of the political pattern of Chinese soci -ety.The core of Chinese political restructuring is the transfer of the power and the distribution of the rights ;political participation is re-quired to expand so as to achieve the balance of freedom and equality;the Masses’ Complaint Letter and Visit System still has institu-tional obstacles;encountering the fading of the social honesty brought by marketization and constantly deconstructing of the traditional ethics.Domestic and foreign scholars are very concerned about the evolution of Non -direct Conflicts of Interest , and this focuses on the controversial argument that whether Non -direct Conflicts of Interest should go to confrontation or cooperation .After a comparative analysis , the conditions of Non-direct Conflicts of Interest going to confrontation were proved nonexistent , and confrontational coopera-tion was the choice.Therefore, based on the prerequisites of the integration of political resources , China should accelerate the process of building socialist harmonious society , eliminate some factors of instability in social political development , so as to resolve Non-di-rect Conflicts of Interest events directly or indirectly .%社会政治发展和“无直接利益冲突”的发生,引发中国社会政治格局呈现四个特征。中国政治体制改革的核心在于权力的转移和权利的分配;要求扩大政治参与、实现自由平等的利益均衡;面临市场化带来的社会诚信日益缺失,传统伦理道德不断解构。国内外学者十分关注“无直接利益冲突”的演变,聚焦在走向对抗还是合作的论辩。通过比较分析后得出:“无直接利益冲突”走向对抗的条件不存在,只能朝向抗争性的合作方向发展。为此,中国应该在整合政治资源的前提下,加快社会主义和谐社会建设进程,消除社会政治发

  9. The algorithm of decomposing superimposed 2-D Poisson processes and its application to the extracting earthquake clustering pattern

    Institute of Scientific and Technical Information of China (English)

    裴韬; 周成虎; 杨明; 骆剑承; 李全林

    2004-01-01

    Aiming at the complexity of seismic gestation mechanism and spatial distribution, we hypothesize that the seismic data are composed of background earthquakes and anomaly earthquakes in a certain temporal-spatial scope. Also the background earthquakes and anomaly earthquakes both satisfy the 2-D Poisson process of different parameters respectively. In the paper, the concept of N-th order distance is introduced in order to transform 2-D superimposed Poisson process into 1-D mixture density function. On the basis of choosing the distance, mixture density function is decomposed to recognize the anomaly earthquakes through genetic algorithm. Combined with the temporal scanning of C value, the algorithm is applied to the recognition on spatial pattern of foreshock anomalies by examples of Songpan and Longling sequences in the southwest of China.

  10. Patterns and security technologies for co-extraction of coal and gas in deep mines without entry pillars

    Institute of Scientific and Technical Information of China (English)

    Nong Zhang; Fei Xue; Nianchao Zhang; Xiaowei Feng

    2015-01-01

    Retaining gob-side entryways and the stability of gas drainage boreholes are two essential techniques in the co-extraction of coal and gas without entry pillars (CECGWEP). However, retained entryways located in deep coal mines are hard to maintain, especially for constructing boreholes in confined spaces, owing to major deformations. Consequently, it is difficult to drill boreholes and maintain their stability, which therefore cannot guarantee the effectiveness of gas drainage. This paper presents three measures for conducting CECGWEP in deep mines on the basis of effective space in retained entryways for gas drainage. They are combinations of retaining roadways and face-lagging inclined boreholes, retaining roadways and face-advancing inclined boreholes, and retaining roadways and high return airway inclined boreholes. Several essential techniques are suggested to improve the maintenance of retained entryways and the stabilization of boreholes. For the particular cases considered in this study, two field trials have verified the latter two measures from the results obtained from the faces 1111(1) and 11112(1) in the Zhuji Mine. The results indicate that these models can effectively solve the problems in deep mines. The maximum gas drainage flow for a single hole can reach 8.1 m3/min and the effective drainage distance can be extended up to 150 m or more.

  11. Identification of error making patterns in lesion detection on digital breast tomosynthesis using computer-extracted image features

    Science.gov (United States)

    Wang, Mengyu; Zhang, Jing; Grimm, Lars J.; Ghate, Sujata V.; Walsh, Ruth; Johnson, Karen S.; Lo, Joseph Y.; Mazurowski, Maciej A.

    2016-03-01

    Digital breast tomosynthesis (DBT) can improve lesion visibility by eliminating the issue of overlapping breast tissue present in mammography. However, this new modality likely requires new approaches to training. The issue of training in DBT is not well explored. We propose a computer-aided educational approach for DBT training. Our hypothesis is that the trainees' educational outcomes will improve if they are presented with cases individually selected to address their weaknesses. In this study, we focus on the question of how to select such cases. Specifically, we propose an algorithm that based on previously acquired reading data predicts which lesions will be missed by the trainee for future cases (i.e., we focus on false negative error). A logistic regression classifier was used to predict the likelihood of trainee error and computer-extracted features were used as the predictors. Reader data from 3 expert breast imagers was used to establish the ground truth and reader data from 5 radiology trainees was used to evaluate the algorithm performance with repeated holdout cross validation. Receiver operating characteristic (ROC) analysis was applied to measure the performance of the proposed individual trainee models. The preliminary experimental results for 5 trainees showed the individual trainee models were able to distinguish the lesions that would be detected from those that would be missed with the average area under the ROC curve of 0.639 (95% CI, 0.580-0.698). The proposed algorithm can be used to identify difficult cases for individual trainees.

  12. Pattern discovery for semi-structured web pages using bar-tree representation

    CERN Document Server

    Akbar, Z

    2011-01-01

    Many websites with an underlying database containing structured data provide the richest and most dense source of information relevant for topical data integration. The real data integration requires sustainable and reliable pattern discovery to enable accurate content retrieval and to recognize pattern changes from time to time; yet, extracting the structured data from web documents is still lacking from its accuracy. This paper proposes the bar-tree representation to describe the whole pattern of web pages in an efficient way based on the reverse algorithm. While previous algorithms always trace the pattern and extract the region of interest from \\textit{top root}, the reverse algorithm recognizes the pattern from the region of interest to both top and bottom roots simultaneously. The attributes are then extracted and labeled reversely from the region of interest of targeted contents. Since using conventional representations for the algorithm should require more computational power, the bar-tree method is d...

  13. 使用基于模式的Bootstrapping方法抽取情感词%Extracting sentiment words using pattern based Bootstrapping method

    Institute of Scientific and Technical Information of China (English)

    王昌厚; 王菲

    2014-01-01

    Sentiment(or opinionated)lexicons play an important role in sentiment analysis. With the blooming of net neol-ogisms, it is quite necessary to identify new sentiment words and improve current sentiment lexicons. This paper proposes a pattern based Bootstrapping method which extracts sentiment words from micro blogs. The experimental results validate the effectiveness of the method and large quantity of un-recorded sentiment words are extracted with reasonable precisions.%情感评价词典在情感分析中具有非常重要的作用,在新词频发的网络环境中,识别新的情感评价词,完善现有的情感词典是非常有必要的。使用基于模式的Bootstrapping方法,在微博语料中抽取情感评价词。实验证明,在保持了较理想的精确率的情况下,上述方法抽取了数量可观的传统情感词典未收录的情感评价词。

  14. Interest rate derivatives

    DEFF Research Database (Denmark)

    Svenstrup, Mikkel

    This Ph.D. thesis consists of four self-contained essays on valuation of interest rate derivatives. In particular derivatives related to management of interest rate risk care are considered.......This Ph.D. thesis consists of four self-contained essays on valuation of interest rate derivatives. In particular derivatives related to management of interest rate risk care are considered....

  15. ICPD: in whose interest?

    Science.gov (United States)

    Shiva, M

    1994-06-01

    The International Conference on Population and Development (ICPD) is set for September 1994. Arms control and control of military interests are as crucial as population control. The expenditure on the military and arms should go to social measures and true socioeconomic development. Women are leading the movement against war and towards peace. Women make up 70% of current refugees of ethnic conflicts. The conquest of free trade with little or no restriction and globalization trends forces developing countries to accept nonessential luxury items which tend to be irrational, hazardous consumer articles and technologies from industrialized countries. The privileged elite in developing countries and the industrialized countries overconsume, while the basic needs of the poor majority are not being met. The rich view the poor as a global threat and a threat for environmental degradation. They believe that free trade will solve all problems, yet it only marginalizes the poor and the vulnerable. The pattern of overconsumption is the threat. The poor are characterized as demons responsible for the population explosion. Women are angry that population control policies are attempts to control women's fertility. Specifically, most contraceptive technologies and most family planning programs target women. Male responsibility is ignored. Religious fundamentalists tell women not to become pregnant, not to use contraception, and not to seek abortion, yet they allow male sex behavior, e.g., sexual violence. This attitude leaves women vulnerable to unwanted pregnancies, sexually transmitted diseases, and AIDS. Developing countries should be concerned about chapter III on Population, Environment, and Development in the ICPD text. Most countries, including India, have formed a consensus on this chapter. The Vatican and some Latin American countries have objections, however. The meeting in Cairo will likely continue to promote the view that the fertility of women in developing

  16. Using computer-extracted image features for modeling of error-making patterns in detection of mammographic masses among radiology residents

    Energy Technology Data Exchange (ETDEWEB)

    Zhang, Jing, E-mail: jing.zhang2@duke.edu; Ghate, Sujata V.; Yoon, Sora C. [Department of Radiology, Duke University School of Medicine, Durham, North Carolina 27705 (United States); Lo, Joseph Y. [Department of Radiology, Duke University School of Medicine, Durham, North Carolina 27705 (United States); Duke Cancer Institute, Durham, North Carolina 27710 (United States); Departments of Biomedical Engineering and Electrical and Computer Engineering, Duke University, Durham, North Carolina 27705 (United States); Medical Physics Graduate Program, Duke University, Durham, North Carolina 27705 (United States); Kuzmiak, Cherie M. [Department of Radiology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina 27599 (United States); Mazurowski, Maciej A. [Department of Radiology, Duke University School of Medicine, Durham, North Carolina 27705 (United States); Duke Cancer Institute, Durham, North Carolina 27710 (United States); Medical Physics Graduate Program, Duke University, Durham, North Carolina 27705 (United States)

    2014-09-15

    Purpose: Mammography is the most widely accepted and utilized screening modality for early breast cancer detection. Providing high quality mammography education to radiology trainees is essential, since excellent interpretation skills are needed to ensure the highest benefit of screening mammography for patients. The authors have previously proposed a computer-aided education system based on trainee models. Those models relate human-assessed image characteristics to trainee error. In this study, the authors propose to build trainee models that utilize features automatically extracted from images using computer vision algorithms to predict likelihood of missing each mass by the trainee. This computer vision-based approach to trainee modeling will allow for automatically searching large databases of mammograms in order to identify challenging cases for each trainee. Methods: The authors’ algorithm for predicting the likelihood of missing a mass consists of three steps. First, a mammogram is segmented into air, pectoral muscle, fatty tissue, dense tissue, and mass using automated segmentation algorithms. Second, 43 features are extracted using computer vision algorithms for each abnormality identified by experts. Third, error-making models (classifiers) are applied to predict the likelihood of trainees missing the abnormality based on the extracted features. The models are developed individually for each trainee using his/her previous reading data. The authors evaluated the predictive performance of the proposed algorithm using data from a reader study in which 10 subjects (7 residents and 3 novices) and 3 experts read 100 mammographic cases. Receiver operating characteristic (ROC) methodology was applied for the evaluation. Results: The average area under the ROC curve (AUC) of the error-making models for the task of predicting which masses will be detected and which will be missed was 0.607 (95% CI,0.564-0.650). This value was statistically significantly different

  17. Sequential Pattern Mining Using Formal Language Tools

    Directory of Open Access Journals (Sweden)

    R. S. Jadon

    2012-09-01

    Full Text Available In present scenario almost every system and working is computerized and hence all information and data are being stored in Computers. Huge collections of data are emerging. Retrieval of untouched, hidden and important information from this huge data is quite tedious work. Data Mining is a great technological solution which extracts untouched, hidden and important information from vast databases to investigate noteworthy knowledge in the data warehouse. An important problem in data mining is to discover patterns in various fields like medical science, world wide web, telecommunication etc. In the field of Data Mining, Sequential pattern mining is one of the method in which we retrieve hidden pattern linked with instant or other sequences. In sequential pattern mining we extract those sequential patterns whose support count are greater than or equal to given minimum support threshold value. In current scenario users are interested in only specific and interesting pattern instead of entire probable sequential pattern. To control the exploration space users can use many heuristics which can be represented as constraints. Many algorithms have been developed in the fields of constraint mining which generate patterns as per user expectation. In the present work we will be exploring and enhancing the regular expression constraints .Regular expression is one of the constraint and number of algorithm developed for sequential pattern mining which uses regular expression as a constraint. Some constraints are neither regular nor context free like cross-serial pattern anbmcndm used in Swiss German Data. We cannot construct equivalent deterministic finite automata (DFA or Push down automata (PDA for such type of patterns. We have proposed a new algorithm PMFLT (Pattern Mining using Formal Language Tools for sequential pattern mining using formal language tools as constraints. The proposed algorithm finds only user specific frequent sequence in efficient

  18. Understanding Interest Rate Volatility

    DEFF Research Database (Denmark)

    Volker, Desi

    This thesis is the result of my Ph.D. studies at the Department of Finance of the Copenhagen Business School. It consists of three essays covering topics related to the term structure of interest rates, monetary policy and interest rate volatility. The rst essay, \\Monetary Policy Uncertainty...... and Interest Rates", examines the role of monetary policy uncertainty on the term structure of interest rates. The second essay, \\A Regime-Switching A ne Term Structure Model with Stochastic Volatility" (co-authored with Sebastian Fux), investigates the ability of the class of regime switching models...... with and without stochastic volatility to capture the main stylized features of U.S. interest rates. The third essay, \\Variance Risk Premia in the Interest Rate Swap Market", investigates the time-series and cross-sectional properties of the compensation demanded for holding interest rate variance risk. The essays...

  19. Event patterns (particle scatter plots) extracted from charged particle spectra in pp and Pb-Pb collisions at 2.76 TeV

    Science.gov (United States)

    Chen, Ya-Hui; Liu, Fu-Hu; Fakhraddin, Sakina; Rahim, Magda A.; Duan, Mai-Ying

    2017-02-01

    The transverse momentum (p T) and pseudorapidity (η) spectra of charged particles produced in proton-proton (pp) and lead-lead (Pb-Pb) collisions at the Large Hadron Collider (LHC) are described by a hybrid model. In the model, the p T spectrum is described by a two-component distribution which contains an inverse power-law suggested by quantum chromodynamic calculus and an Erlang distribution resulted from a multisource thermal model. The η spectrum is described by a Gaussian rapidity (y) distribution resulted from the Landau hydrodynamic model and the two-component p T distribution, where the conversion between y and η is accurately considered. The modelling results are in agreement with the experimental data measured by the ATLAS Collaboration in pp collisions at center-of-mass energy \\sqrt{s}=2.76 TeV and in Pb-Pb collisions at center-of-mass energy per nucleon pair \\sqrt{{s}{NN}}=2.76 TeV. Based on the parameter values extracted from p T and η or y spectra, the event patterns or particle scatter plots in three-dimensional velocity and momentum spaces are obtained.

  20. Event Patterns Extracted from Transverse Momentum and Rapidity Spectra of Z Bosons and Quarkonium States Produced in pp and Pb-Pb Collisions at LHC

    Directory of Open Access Journals (Sweden)

    Ya-Hui Chen

    2016-01-01

    Full Text Available Transverse momentum (pT and rapidity (y spectra of Z bosons and quarkonium states (some charmonium cc¯ mesons such as J/ψ and ψ(2S and some bottomonium bb¯ mesons such as Υ(1S, Υ(2S, and Υ(3S produced in proton-proton (pp and lead-lead (Pb-Pb collisions at the large hadron collider (LHC are uniformly described by a hybrid model of two-component Erlang distribution for pT spectrum and two-component Gaussian distribution for y spectrum. The former distribution results from a multisource thermal model, and the latter one results from the revised Landau hydrodynamic model. The modelling results are in agreement with the experimental data measured in pp collisions at center-of-mass energies s=2.76 and 7 TeV and in Pb-Pb collisions at center-of-mass energy per nucleon pair sNN=2.76 TeV. Based on the parameter values extracted from pT and y spectra, the event patterns (particle scatter plots in two-dimensional pT-y space and in three-dimensional velocity space are obtained.

  1. Genetic interest assessment

    Science.gov (United States)

    Doughney, Erin

    Genetics is becoming increasingly integrated into peoples' lives. Different measures have been taken to try and better genetics education. This thesis examined undergraduate students at the University of North Texas not majoring in the life sciences interest in genetic concepts through the means of a Likert style survey. ANOVA analysis showed there was variation amongst the interest level in different genetic concepts. In addition age and lecture were also analyzed as contributing factors to students' interest. Both age and lecture were evaluated to see if they contributed to the interest of students in genetic concepts and neither showed statistical significance. The Genetic Interest Assessment (GIA) serves to help mediate the gap between genetic curriculum and students' interest.

  2. Social Construction: the Reconstruction of China's Interests Pattern in Two--way of Movement%社会建设:双向运动中的中国利益格局重建

    Institute of Scientific and Technical Information of China (English)

    贾玉娇

    2012-01-01

    在社会转型初期,自由市场逻辑主导下的社会变革激发了社会活力,释放出了巨大能量,但也因利益在社会成员中的不均衡分布而产生对经济发展公平性的质疑。伴随市场力量的不断强大,社会自我保护力不断增强,使得社会矛盾呈愈演愈烈之势。在世界社会治理机制由一元向多元转变的趋势下,中国也开启了社会治理机制的变革之路,其核心议题在于建构何种国家、市场与社会力量的分配格局。这对于深化中国社会转型进程,实现社会稳定有序,奠定社会管理的社会基础具有十分重要的意义。然而,如何进行社会建设,不能给出简单的、想当然的结论,而需要挖掘其背后的支配逻辑——双向运动,以此重塑国家、市场与社会三者之间的关系。%Beginning of the transition in society, social change under the guidance of free market logic in- spired social vitality, releasing tremendous energy, but also because of the interests of the uneven distribu- tion in members of society which have questioned the fairness of economic development. With market forces the continuing strong, social self--protection forces continue to enhance, making the social conflict was getting worse. In the trend of mechanism of social governance in the world from the one to multiple changes, China has also opened a community change; the core issue is what kind of building the distribu- tion pattern of state, market and social forces. It is of great significance for deepening of China's social transformation process ,in order to achieve social stability and lay the social foundation of social manage- ment . However, how to build the society can not provide simple conclusion, but need to dig behind the dominant logic -- two--way movement, remodeling the relationship between government, market and so- ciety to this.

  3. Learning System of Web Navigation Patterns through Hypertext Probabilistic Grammars

    Science.gov (United States)

    Cortes Vasquez, Augusto

    2015-01-01

    One issue of real interest in the area of web data mining is to capture users' activities during connection and extract behavior patterns that help define their preferences in order to improve the design of future pages adapting websites interfaces to individual users. This research is intended to provide, first of all, a presentation of the…

  4. Interest of molecularly imprinted polymers in the fight against doping. Extraction of tamoxifen and its main metabolite from urine followed by high-performance liquid chromatography with UV detection.

    Science.gov (United States)

    Claude, Bérengère; Morin, Philippe; Bayoudh, Sami; de Ceaurriz, Jacques

    2008-07-04

    A molecular imprinted polymer (MIP) has been synthesized in order to specifically extract tamoxifen, a nonsteroidal antiestrogen, and its metabolites from urine by solid-phase extraction (SPE) before HPLC-UV analysis. Clomiphene, a chlorinated tamoxifen analogue, was selected as template for MIP synthesis. Polymerisation was achieved by thermal polymerisation of methacrylic acid (MAA) as functional monomer, ethylene glycol dimethacrylate (EDMA) as cross-linking agent and acetonitrile as porogen. The efficient elimination of the urinary matrix has been obtained by MIP-SPE but the elution recovery of tamoxifen was initially too low ( approximately 14%). This problem has been overcome following two ways. At first, a preliminary HLB-SPE of the urine has enabled to discard endogenous salts and to percolate an organic sample through the MIP cartridge. Extraction recoveries are equal to 56 and 74% for tamoxifen and 4-hydroxytamoxifen, respectively. Then, a second MIP has been prepared with styrene and MAA as functional co-monomers. Strong pi-pi interactions occurring between phenyl groups of styrene and tamoxifen promote rebinding of the analyte by the specific sites. The enhanced hydrophobic character of the imprinted polymer has enabled the direct percolation of urine through MIP-SPE and the easy elimination of endogenous salts from urine with only one aqueous washing step. HPLC-UV analysis has confirmed high extraction recoveries (85%) for tamoxifen and its metabolite with an enrichment factor of 8. This analytical protocol can selectively detect the presence of tamoxifen metabolites in urines and be useful as a proof of doping in competitive sports.

  5. Finding Sequential Patterns from Large Sequence Data

    Directory of Open Access Journals (Sweden)

    Fazekas Gabor

    2010-01-01

    Full Text Available Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mining, and sequential pattern mining. Sequential pattern mining finds sets of data items that occur together frequently in some sequences. Sequential pattern mining, which extracts frequent subsequences from a sequence database, has attracted a great deal of interest during the recent data mining research because it is the basis of many applications, such as: web user analysis, stock trend prediction, DNA sequence analysis, finding language or linguistic patterns from natural language texts, and using the history of symptoms to predict certain kind of disease. The diversity of the applications may not be possible to apply a single sequential pattern model to all these problems. Each application may require a unique model and solution. A number of research projects were established in recent years to develop meaningful sequential pattern models and efficient algorithms for mining these patterns. In this paper, we theoretically provided a brief overview three types of sequential patterns model.

  6. Efficient Frequent Pattern Tree Construction

    Directory of Open Access Journals (Sweden)

    D.Bujji Babu

    2014-03-01

    Full Text Available Association rule learning is a popular and well researched technique for discovering interesting relations between variables in large databases in the area of data mining. The association rules are a part of intelligent systems. Association rules are usually required to satisfy a user-specified minimum support and a user-specified minimum confidence at the same time. Apriori and FP-Growth algorithms are very familiar algorithms for association rule mining. In this paper we are more concentrated on the Construction of efficient frequent pattern trees. Here, we present the novel frequent pattern trees and the performance issues. The proposed trees are fast and efficient trees helps to extract the frequent patterns. This paper provides the major advantages in the FP-Growth algorithm for association rule mining with using the newly proposed approach.

  7. A combination strategy for extraction and isolation of multi-component natural products by systematic two-phase solvent extraction-(13)C nuclear magnetic resonance pattern recognition and following conical counter-current chromatography separation: Podophyllotoxins and flavonoids from Dysosma versipellis (Hance) as examples.

    Science.gov (United States)

    Yang, Zhi; Wu, Youqian; Wu, Shihua

    2016-01-29

    Despite of substantial developments of extraction and separation techniques, isolation of natural products from natural resources is still a challenging task. In this work, an efficient strategy for extraction and isolation of multi-component natural products has been successfully developed by combination of systematic two-phase liquid-liquid extraction-(13)C NMR pattern recognition and following conical counter-current chromatography separation. A small-scale crude sample was first distributed into 9 systematic hexane-ethyl acetate-methanol-water (HEMWat) two-phase solvent systems for determination of the optimum extraction solvents and partition coefficients of the prominent components. Then, the optimized solvent systems were used in succession to enrich the hydrophilic and lipophilic components from the large-scale crude sample. At last, the enriched components samples were further purified by a new conical counter-current chromatography (CCC). Due to the use of (13)C NMR pattern recognition, the kinds and structures of major components in the solvent extracts could be predicted. Therefore, the method could collect simultaneously the partition coefficients and the structural information of components in the selected two-phase solvents. As an example, a cytotoxic extract of podophyllotoxins and flavonoids from Dysosma versipellis (Hance) was selected. After the systematic HEMWat system solvent extraction and (13)C NMR pattern recognition analyses, the crude extract of D. versipellis was first degreased by the upper phase of HEMWat system (9:1:9:1, v/v), and then distributed in the two phases of the system of HEMWat (2:8:2:8, v/v) to obtain the hydrophilic lower phase extract and lipophilic upper phase extract, respectively. These extracts were further separated by conical CCC with the HEMWat systems (1:9:1:9 and 4:6:4:6, v/v). As results, total 17 cytotoxic compounds were isolated and identified. In general, whole results suggested that the strategy was very

  8. FWS Interest Simplified

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — These boundaries are simplified from the U.S. Fish and Wildlife Service Real Estate Interest data layer containing polygons representing tracts of land (parcels) in...

  9. FWS Interest Simplified

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — These boundaries are simplified from the U.S. Fish and Wildlife Service Real Estate Interest data layer containing polygons representing tracts of land (parcels) in...

  10. Interest Rates and Inflation

    OpenAIRE

    Michael Coopersmith

    2011-01-01

    A relation between interest rates and inflation is presented using a two component economic model and a simple general principle. Preliminary results indicate a remarkable similarity to classical economic theories, in particular that of Wicksell.

  11. Debenture Interest Rates

    Data.gov (United States)

    Department of Housing and Urban Development — Interest rates to be paid on debentures issued with respect to a loan or mortgage insured by the Federal Housing Commissioner under the provisions of the National...

  12. GC/MS profiling of gamma-hydroxybutyrate and precursors in various animal tissues using automatic solid-phase extraction. Preliminary investigations of its potential interest in postmortem interval determination.

    Science.gov (United States)

    Richard, Damien; Ling, Bing; Authier, Nicolas; Faict, Thierry W; Eschalier, Alain; Coudoré, François

    2005-03-01

    To quantify gamma-hydroxybutyrate (GHB) and its physiological metabolites, gamma-aminobutyric acid (GABA), 1,4-butanediol (1,4-BD), and gamma-butyrolactone (GBL) in various animal tissues (kidney, muscle, heart, liver, blood, brain cortex, thalamus, hypothalamus, hippocampus, or pons), an original gas chromatographic/mass spectrometric method with a automated solid-phase extraction by Oasis MCX cartridges on a Gilson Aspec Xli was developed. Using such apparatus allowed the limit of detection (LOD) of target compounds to be significantly lowered (LOD: 0.027, 0.025, and 5.7 microg/mL for GHB, 1,4-BD, and GABA, respectively, in 200 microL or microg of sample). After validation of each analytical step, the satisfactory performances of the apparatus in conjunction with the rapidity and ease of the extraction step make it suitable for simultaneous assay of GHB, 1,4-BD, GBL, and GABA. The method was used to test the correlation between GHB levels in tissues obtained at different times after death of male Sprague-Dawley rats and the postmortem interval. Preliminary results show a linear increase of GHB levels in relation to time of death in thoracic blood and central nervous system of animals kept at 15 and 20 degrees C.

  13. Gaps in Political Interest

    DEFF Research Database (Denmark)

    Robison, Joshua

    2015-01-01

    sought to measure respondents’ general interest in politics by asking them how often they follow public affairs. In this article, we uncover novel sources of measurement error concerning this question. We first show that other nationally representative surveys that frequently use this item deliver......Political interest fundamentally influences political behavior, knowledge, and persuasion (Brady, Verba, & Schlozman, 1995; Delli Carpini & Keeter, 1996; Luskin, 1990; Zukin, Andolina, Keeter, Jenkins, & Delli Carpini, 2006). Since the early 1960s, the American National Election Studies (ANES) has...... drastically higher estimates of mass interest. We then use a survey experiment included on a wave of the ANES’ Evaluating Government and Society Surveys (EGSS) to explore the influence of question order in explaining this systemic gap in survey results. We show that placing batteries of political...

  14. 二进制流模式提取在CPU/GPU下的实现框架%IMPLEMENTATION FRAMEWORK FOR BINARY STREAM PATTERN EXTRACTION UNDER CPU/GPU

    Institute of Scientific and Technical Information of China (English)

    章一超; 陈凯; 梁阿磊; 白英彩; 管海兵

    2012-01-01

    As a stream processor, GPU is widely used in general high-performance computation, and no longer limited to the image processing area only. NVDIA CUDA and AMD Stream SDK are popular stream programming environments for General-Purpose computation on GPU ( GPGPU). However both of them have shortcomings and limitations. The biggest problems are the shortage of binary compatibility which is confronting different GPUs and the large cost in rewriting existing source codes. By using binary analysis and dynamic binary translation technology the article implements an automatic execution framework,GxBit, which offers a method to extract stream patterns from x86 binary programs to be mapped into NVIDIA CUDA programming environment. Validated by multiple programs from CUDA SDK Sample and Parboil Benchmark Suite,the framework upgrades the performance to an average level of 10 times.%图形处理单元(GPU)作为一种流体系结构的处理器,现已被广泛地用于通用高性能计算,而不仅仅局限于图像处理领域了.NVIDIA的CUDA和AMD的Stream SDK都是现在比较流行的针对GPU通用计算(GPGPU)的流编程环境.然而,它们有自身的缺陷和限制,其中最主要的便是缺乏面对不同GPU的二进制兼容性问题和重写已有程序源代码代价大的问题.通过利用二进制分析和动态二进制翻译技术,实现一个自动化执行框架GxBit,它提供一种从x86二进制程序中提取流模式,并映射到NVIDIACUDA编程环境的方法.该框架经过CUDA SDK Sample和Parboil Benchmark Suite中若干程序的验证,平均取得10倍以上的性能提升.

  15. DYNAMICS OF AGRICULTURAL GROUNDWATER EXTRACTION

    OpenAIRE

    Hellegers, Petra J.G.J.; Zilberman, David; van Ierland, Ekko C.

    2001-01-01

    Agricultural shallow groundwater extraction can result in desiccation of neighbouring nature reserves and degradation of groundwater quality in the Netherlands, whereas both externalities are often not considered when agricultural groundwater extraction patterns are being determined. A model is developed to study socially optimal agricultural shallow groundwater extraction patterns. It shows the importance of stock size to slow down changes in groundwater quality.

  16. DYNAMICS OF AGRICULTURAL GROUNDWATER EXTRACTION

    OpenAIRE

    Hellegers, Petra J.G.J.; Zilberman, David; van Ierland, Ekko C.

    2001-01-01

    Agricultural shallow groundwater extraction can result in desiccation of neighbouring nature reserves and degradation of groundwater quality in the Netherlands, whereas both externalities are often not considered when agricultural groundwater extraction patterns are being determined. A model is developed to study socially optimal agricultural shallow groundwater extraction patterns. It shows the importance of stock size to slow down changes in groundwater quality.

  17. Interest Check List.

    Science.gov (United States)

    Bureau of Employment Security (DOL), Washington, DC.

    The original edition of the Department of Labor Interest Check List aims at helping students decide what kinds of work they would like and lists activities that are found in a broad range of industries and occupations. The student is advised to read each of approximately 175 items and indicate how he feels about the activity described by placing a…

  18. Spousal Conflicts of Interest

    Science.gov (United States)

    Lewis, Shana R.

    2005-01-01

    Romantic relationships bud and sometimes bloom in the school district workplace. When those relationships involve a sitting member of a school board or an administrator with responsibility for managing other employees, questions about a conflict of interest will be raised. Most states have laws prohibiting a public official from taking official…

  19. Pronounced Practice & Learners’ Interest

    Institute of Scientific and Technical Information of China (English)

    陈作棋

    2009-01-01

    <正>The present s tudy presents a detailed report of the project implemented to solve the problem that most of my students don’t like doing the oral practice I assign them to do after class. It is hypothesized that learners’ interest in pronunciation after class will be increased by a better organization in this

  20. Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia.

    Science.gov (United States)

    Kim, Junghoe; Calhoun, Vince D; Shim, Eunsoo; Lee, Jong-Hwan

    2016-01-01

    Functional connectivity (FC) patterns obtained from resting-state functional magnetic resonance imaging data are commonly employed to study neuropsychiatric conditions by using pattern classifiers such as the support vector machine (SVM). Meanwhile, a deep neural network (DNN) with multiple hidden layers has shown its ability to systematically extract lower-to-higher level information of image and speech data from lower-to-higher hidden layers, markedly enhancing classification accuracy. The objective of this study was to adopt the DNN for whole-brain resting-state FC pattern classification of schizophrenia (SZ) patients vs. healthy controls (HCs) and identification of aberrant FC patterns associated with SZ. We hypothesized that the lower-to-higher level features learned via the DNN would significantly enhance the classification accuracy, and proposed an adaptive learning algorithm to explicitly control the weight sparsity in each hidden layer via L1-norm regularization. Furthermore, the weights were initialized via stacked autoencoder based pre-training to further improve the classification performance. Classification accuracy was systematically evaluated as a function of (1) the number of hidden layers/nodes, (2) the use of L1-norm regularization, (3) the use of the pre-training, (4) the use of framewise displacement (FD) removal, and (5) the use of anatomical/functional parcellation. Using FC patterns from anatomically parcellated regions without FD removal, an error rate of 14.2% was achieved by employing three hidden layers and 50 hidden nodes with both L1-norm regularization and pre-training, which was substantially lower than the error rate from the SVM (22.3%). Moreover, the trained DNN weights (i.e., the learned features) were found to represent the hierarchical organization of aberrant FC patterns in SZ compared with HC. Specifically, pairs of nodes extracted from the lower hidden layer represented sparse FC patterns implicated in SZ, which was

  1. Investigation of novel rapidly synergistic cloud point extraction pattern for bismuth in water and geological samples coupling with flame atomic absorption spectrometry determination.

    Science.gov (United States)

    Wen, Xiaodong; Zhao, Yu; Deng, Qingwen; Ji, Shoulian; Zhao, Xia; Guo, Jie

    2012-04-01

    Rapidly synergistic cloud point extraction (RS-CPE) greatly simplified and accelerated the procedure of traditional cloud point extraction (CPE). In order to expand the application of RS-CPE, this work was carried out after the establishment of the improved extraction technique. The new established extraction method was firstly applied for bismuth extraction and determination coupled with flame atomic absorption spectrometry (FAAS) in this work. The improved RS-CPE was accomplished in the room temperature in 1 min. Non-ionic surfactant Triton X-100 (TX-100) was used as extractant. Octanol worked as cloud point revulsant and synergic reagent. TX-100 has a relatively high cloud point temperature (CPT), which limited its application in CPE. In this work, TX-100 accomplished the RS-CPE procedure in room temperature successfully. The factors influencing RS-CPE, such as concentrations of reagents, pH, conditions of phase separation, effect of environmental temperatures, salt effect and instrumental conditions, were studied systematically. Under the optimal conditions, the limit of detection (LOD) for bismuth was 4.0 μg L(-1), with sensitivity enhancement factor (EF) of 43. The proposed method greatly improved the sensitivity of FAAS for the determination of bismuth and was applied to the determination of trace bismuth in real and certified samples with satisfactory analytical results. The proposed method was rapid, simple, and sensitive.

  2. Investigation of novel rapidly synergistic cloud point extraction pattern for bismuth in water and geological samples coupling with flame atomic absorption spectrometry determination

    Science.gov (United States)

    Wen, Xiaodong; Zhao, Yu; Deng, Qingwen; Ji, Shoulian; Zhao, Xia; Guo, Jie

    2012-04-01

    Rapidly synergistic cloud point extraction (RS-CPE) greatly simplified and accelerated the procedure of traditional cloud point extraction (CPE). In order to expand the application of RS-CPE, this work was carried out after the establishment of the improved extraction technique. The new established extraction method was firstly applied for bismuth extraction and determination coupled with flame atomic absorption spectrometry (FAAS) in this work. The improved RS-CPE was accomplished in the room temperature in 1 min. Non-ionic surfactant Triton X-100 (TX-100) was used as extractant. Octanol worked as cloud point revulsant and synergic reagent. TX-100 has a relatively high cloud point temperature (CPT), which limited its application in CPE. In this work, TX-100 accomplished the RS-CPE procedure in room temperature successfully. The factors influencing RS-CPE, such as concentrations of reagents, pH, conditions of phase separation, effect of environmental temperatures, salt effect and instrumental conditions, were studied systematically. Under the optimal conditions, the limit of detection (LOD) for bismuth was 4.0 μg L-1, with sensitivity enhancement factor (EF) of 43. The proposed method greatly improved the sensitivity of FAAS for the determination of bismuth and was applied to the determination of trace bismuth in real and certified samples with satisfactory analytical results. The proposed method was rapid, simple, and sensitive.

  3. Innovation and social interests

    Directory of Open Access Journals (Sweden)

    Vratuša-Žunjić Vera

    2010-01-01

    Full Text Available The paper focuses on socially and historically structured circumstances surrounding and moral problems involved in the pragmatic definition of innovation as 'novelty proven useful by its users'. Contending conceptions and strategies of innovation of the organization of social relations in dialectical social systems are compared and socially and historically contextualized in the so-called 'transition countries' on the new Eastern border of the European Union. The conclusion is that the cited pragmatic definition of innovation may be misused for an apology of morally dubious new ends and means in the narrow interest of particular groups of users, often at the expense and against the interest of a majority of other individuals and social groups.

  4. Managing conflicts of interest.

    Science.gov (United States)

    Sade, Robert M; Akins, Cary W; Weisel, Richard D

    2015-04-01

    The more extensive conflict of interest information will permit reviewers and editors to ensure the accuracy, balance,and lack of bias of papers accepted for publication.Therefore, a brief conflict statement will be published on the cover page and a more extensive description will be published at the end of the paper to allow concerned readers to make their own judgments about the quality of the information reported.

  5. Pterocarpus marsupium extract (Vijayasar) prevented the alteration in metabolic patterns induced in the normal rat by feeding an adequate diet containing fructose as sole carbohydrate.

    Science.gov (United States)

    Grover, J K; Vats, V; Yadav, S S

    2005-07-01

    Insulin resistance (hyperinsulinaemia) is now recognized as a major contributor to the development of glucose intolerance, dyslipidaemia and hypertension in non-insulin-dependent diabetes mellitus (NIDDM) patients. Sedentary lifestyle, consumption of energy-rich diet, obesity, longer lifespan, etc., are important reasons for this rise (J. R. Turtle, Int J Clin Prac 2000; 113: 23). Aqueous extracts of Pterocarpus marsupium Linn bark (PM), Ocimum sanctum Linn leaves (OS) and Trigonella foenumgraecum Linn seeds (FG) have been shown to exert hypoglycaemic/antihyperglycaemic effect in experimental as well as clinical setting. As no work has been carried out so far to assess the effect of PM, OS and FG on fructose-induced hyperglycaemia, hyperinsulinaemia and hypertriglyceridaemia, we undertook this study to assess whether these extracts attenuate the metabolic alteration induced by fructose-rich diet in rats. Five groups of rats (eight each) were fed chow diet, 66% fructose diet, 66% fructose diet + PM leaves extract (1 g/kg/day), 66% fructose diet + OS leaves extract (200 mg/kg/day) and 66% fructose diet + FG seeds extract (2 g/kg/day) for 30 days. Fructose feeding to normal rats for 30 days significantly increased serum glucose, insulin and triglyceride levels in comparison with control. Treatment with all the three plants extract for 30 days significantly lowered the serum glucose levels in comparison with control group. However, only PM extract substantially prevented hypertriglyceridaemia and hyperinsulinaemia, while OS and FG had no significant effect on these parameters. Results of this study, in addition to previous clinical benefits of PM seen in NIDDM subjects, are suggestive of usefulness of PM bark (Vijayasar) in insulin resistance, the associated disorder of type 2 diabetes; however, OS and FG may not be useful. Though several antidiabetic principles (-epicatechin, pterosupin, marsupin and pterostilbene) have been identified in the PM, yet future studies

  6. Dynamics of Agricultural Groundwater Extraction

    NARCIS (Netherlands)

    Hellegers, P.J.G.J.; Zilberman, D.; Ierland, van E.C.

    2001-01-01

    Agricultural shallow groundwater extraction can result in desiccation of neighbouring nature reserves and degradation of groundwater quality in the Netherlands, whereas both externalities are often not considered when agricultural groundwater extraction patterns are being determined. A model is

  7. Metabolomic study on idiosyncratic liver injury induced by different extracts of Polygonum multiflorum in rats integrated with pattern recognition and enriched pathways analysis

    Directory of Open Access Journals (Sweden)

    Chun-yu Li

    2016-12-01

    Full Text Available Currently, numerous liver injury cases related to a famous Chinese herb- Polygonum Multiflorum (Heshouwu in Chinese have attracted great attention in many countries. Our previous work showed that Heshouwu-induced hepatotoxicity belonged to idiosyncratic drug-induced liver injury (IDILI. Unfortunately, the components and mechanisms attributed to IDILI of Heshouwu are difficult to determine and thus remain unknown. Attempts to explore puzzles, we prepared the chloroform (CH-, ethyl acetate (EA-, and residue (RE extracts of Heshouwu to investigate IDILI constituents and underlying mechanisms,using biochemistry, histopathology, and metabolomics examinations. The results showed that co-treatment with non-toxic dose of lipopolysaccharide (LPS and EA extract could result in evident liver injury, indicated by the significant elevation of plasma alanine aminotransferase (ALTand aspartate aminotransferase (AST activities, as well as obvious liver histologic damage; whereas other two separated fractions, CH and RE extracts, failed to induce observable liver injury. Furthermore, 21 potential metabolomic biomarkers that differentially expressed in LPS/EA group compared with other groups without liver injury were identified by untargeted metabolomics, mainly involved two pathways: tricarboxylic acid cycle and sphingolipid metabolism. This work illustrated EA extract had close association with the idiosyncratic hepatotoxicity of Heshouwu and provided a metabolomic insight into IDILI of different extracts from Heshouwu.

  8. Two Interesting Southern Objects

    Science.gov (United States)

    Gyulbudaghian, A. L.

    2016-06-01

    Two southern objects are studied. The first, the planetary nebula PK 349-01.1, is of interest because it has a chain of jets ejected from the central star. 12C(1-0) observations of the vicinity of this object reveal red- and blue-shifted molecular outflows. The second object is a star formation region consisting of two groups of IR stars. These groups have a trapezium-like configuration. Two stars in one of these groups are associated with a ring-shaped nebulae. This star formation region is associated with a new radial system of dark globules.

  9. Upgraded Coal Interest Group

    Energy Technology Data Exchange (ETDEWEB)

    Evan Hughes

    2009-01-08

    The Upgraded Coal Interest Group (UCIG) is an EPRI 'users group' that focuses on clean, low-cost options for coal-based power generation. The UCIG covers topics that involve (1) pre-combustion processes, (2) co-firing systems and fuels, and (3) reburn using coal-derived or biomass-derived fuels. The UCIG mission is to preserve and expand the economic use of coal for energy. By reducing the fuel costs and environmental impacts of coal-fired power generation, existing units become more cost effective and thus new units utilizing advanced combustion technologies are more likely to be coal-fired.

  10. Serving the Public Interest

    DEFF Research Database (Denmark)

    Markussen, Thomas; Tyran, Jean-Robert

    system is likely to produce good governance. That is, if benevolent candidates are common, if the president has little discretionary power, and if the public sector is effective. We analyze the role of institutions like investigative media and re-election and show that they can improve or further hamper......We present a model of political selection in which voters elect a president from a set of candidates. We assume that some of the candidates are benevolent and that all voters prefer a benevolent president, i.e. a president who serves the public interest. Yet, political selection may fail in our...

  11. In vitro evaluation of crude extracts of Catharanthus roseus for potential antibacterial activity

    Directory of Open Access Journals (Sweden)

    Goyal Pankaj

    2008-01-01

    Full Text Available Context: Catharanthus roseus (periwinkle is an important medicinal plant, mentioned in Ayurveda, an ancient Indian Sanskrit literature. The plant is selected to evaluate the possibility for novel pharmaceuticals since most of the bacterial pathogens are developing resistance against currently available antibiotics. Aims: To determine the antibacterial activity of crude extracts from different parts of Catharanthus roseus against several bacterial species of clinical significance. Materials and Methods: Extraction of each plant part in appropriate solvent followed by evaluation of antibacterial activity by agar well diffusion assay against a total of six bacterial stains. Further, minimum inhibitory concentration(s was evaluated for active crude extracts. Results: Data indicated that the pattern of inhibition depends largely upon the extraction procedure, the plant part used for extraction, state of plant part (fresh or dry, solvent used for extraction and the microorganism tested. Dry powder extracts of all plant parts demonstrated more antibacterial activity than extracts prepared from fresh parts. Furthermore, extracts prepared from leaves were shown to have better efficacy than stem, root, and flower extracts. Organic extracts provided more potent antibacterial activity as compared to aqueous extracts. Among all the extracts, the ethanolic extract was found to be most active against almost all the bacterial species tested. Hot water and cold water extracts were completely inactive. Gram-positive bacteria were found more sensitive than Gram-negative bacteria. Conclusions: The study promises an interesting future for designing potentially active antibacterial agents from Catharanthus roseus.

  12. Rangifer and human interests

    Directory of Open Access Journals (Sweden)

    David G. Anderson

    2000-03-01

    Full Text Available This article reviews biological and anthropological literatute on wild and tame Rangifer to demonstrate the powerful effect that this species has had on the imaginations of biologists, social scientists and local hunters. Through identifying a general 'human interest' in Rangifer, the author argues that there is great potential for these three communities to work together. To demonstrate this idea, the paper reviews several examples of successful and unsuccessful 'alliances' between local peoples and both natural and social scientists which have had a fundamental impact upon the history of these sciences. The paper examines recent theorerical models which suggest that human action is a major factor in the behaviour and ecology of the animals. The paper also analyses the ideas of many indigenous people for whom there is no categorical difference between semi-domesticated, semi-sedentary and migratory Rangifer through comparison with many 'anomalous' texts in English and Russian language wildlife biology. By reviewing the history of scholarly interest in Rangifer, the author argues that contemporary models of Rangifer behaviour and identity could be 'revitalised' and 'recalibrated' through the establishment of that dialogue between scientists and local peoples which so characterised the 19th century. Such a dialogue, it is argued, would help mediate many of the political conflicts now appearing in those districts where Rangifer migrate.

  13. Real interest parity decomposition

    Directory of Open Access Journals (Sweden)

    Alex Luiz Ferreira

    2009-09-01

    Full Text Available The aim of this paper is to investigate the general causes of real interest rate differentials (rids for a sample of emerging markets for the period of January 1996 to August 2007. To this end, two methods are applied. The first consists of breaking the variance of rids down into relative purchasing power pariety and uncovered interest rate parity and shows that inflation differentials are the main source of rids variation; while the second method breaks down the rids and nominal interest rate differentials (nids into nominal and real shocks. Bivariate autoregressive models are estimated under particular identification conditions, having been adequately treated for the identified structural breaks. Impulse response functions and error variance decomposition result in real shocks as being the likely cause of rids.O objetivo deste artigo é investigar as causas gerais dos diferenciais da taxa de juros real (rids para um conjunto de países emergentes, para o período de janeiro de 1996 a agosto de 2007. Para tanto, duas metodologias são aplicadas. A primeira consiste em decompor a variância dos rids entre a paridade do poder de compra relativa e a paridade de juros a descoberto e mostra que os diferenciais de inflação são a fonte predominante da variabilidade dos rids; a segunda decompõe os rids e os diferenciais de juros nominais (nids em choques nominais e reais. Sob certas condições de identificação, modelos autorregressivos bivariados são estimados com tratamento adequado para as quebras estruturais identificadas e as funções de resposta ao impulso e a decomposição da variância dos erros de previsão são obtidas, resultando em evidências favoráveis a que os choques reais são a causa mais provável dos rids.

  14. BANKING WITHOUT INTEREST

    Directory of Open Access Journals (Sweden)

    Jana Ilieva

    2017-06-01

    Full Text Available In recent years, there has been increased global awareness of Islamic finance. This topic is mainly opened with respect to the great financial crisis that mostly hit the banking system and the financial markets and caused many bank bankruptcies and state interventions. This paper analyzes the basic principles of Islamic banking. The absolute prohibition of receiving and giving interest (Riba and profit-and-loss sharing (PLS paradigms are elaborated in detail; they are primarily based on mudarabah (profit-sharing and musyarakah (joint venture concepts which nowadays are becoming an accepted way of doing business in several Western multinational banks. An overall comparison of the advantages of Islamic vs. conventional banking is also given. Islamic finance technology solutions have matured and they will face various challenges in the following decades, due to conventional banks offering, increasingly, Islamic products. The need for a more comprehensive environment and regulatory framework is emphasized, so that Islamic banking development can be ensured.

  15. Mining Interesting Positive and Negative Association Rule Based on Improved Genetic Algorithm (MIPNAR_GA

    Directory of Open Access Journals (Sweden)

    Nikky Suryawanshi Rai

    2014-01-01

    Full Text Available Association Rule mining is very efficient technique for finding strong relation between correlated data. The correlation of data gives meaning full extraction process. For the mining of positive and negative rules, a variety of algorithms are used such as Apriori algorithm and tree based algorithm. A number of algorithms are wonder performance but produce large number of negative association rule and also suffered from multi-scan problem. The idea of this paper is to eliminate these problems and reduce large number of negative rules. Hence we proposed an improved approach to mine interesting positive and negative rules based on genetic and MLMS algorithm. In this method we used a multi-level multiple support of data table as 0 and 1. The divided process reduces the scanning time of database. The proposed algorithm is a combination of MLMS and genetic algorithm. This paper proposed a new algorithm (MIPNAR_GA for mining interesting positive and negative rule from frequent and infrequent pattern sets. The algorithm is accomplished in to three phases: a.Extract frequent and infrequent pattern sets by using apriori method b.Efficiently generate positive and negative rule. c.Prune redundant rule by applying interesting measures. The process of rule optimization is performed by genetic algorithm and for evaluation of algorithm conducted the real world dataset such as heart disease data and some standard data used from UCI machine learning repository.

  16. Inquiring Minds: Theorizing Children's Interests

    Science.gov (United States)

    Hedges, Helen; Cooper, Maria

    2016-01-01

    Children's interests are a common foundation for early childhood curricula. Yet, little research is available about the fundamental nature of children's interests and analytical ways to recognize and engage with these. Early work on children's interests adopted a psychological perspective and associated interests with activity choices. Recent work…

  17. Study on near infrared finger vein image acquisition and vein pattern extraction%红外光指静脉图像采集及其特征提取技术的研究

    Institute of Scientific and Technical Information of China (English)

    江虹; 郭树旭

    2011-01-01

    In recent years,the vein recognition has opened up biometric technology′s new eras.The optical image quality of finger vein acquisition and the accuracy of vein pattern extraction are key issues.In this paper,a novel optical illuminating/detecting method is proposed for the near infrared finger vein image acquisition system,and a finger vein pattern extraction method based on the maximum curvature mechanism is realized.The effectiveness of the whole system is experimentally verified.The experimental results show that the FAR is 1.67%.%提出了一种应用于指静脉光学图像采集系统的新型光路设计,实现了基于最大曲率方法的指静脉提取,并对系统的有效性进行了实验验证。结果表明,采用本文方法的指静脉识别错误匹配率(FAR)为1.67%。

  18. Integrating multiple immunogenetic data sources for feature extraction and mining somatic hypermutation patterns: the case of "towards analysis" in chronic lymphocytic leukaemia.

    Science.gov (United States)

    Kavakiotis, Ioannis; Xochelli, Aliki; Agathangelidis, Andreas; Tsoumakas, Grigorios; Maglaveras, Nicos; Stamatopoulos, Kostas; Hadzidimitriou, Anastasia; Vlahavas, Ioannis; Chouvarda, Ioanna

    2016-06-06

    Somatic Hypermutation (SHM) refers to the introduction of mutations within rearranged V(D)J genes, a process that increases the diversity of Immunoglobulins (IGs). The analysis of SHM has offered critical insight into the physiology and pathology of B cells, leading to strong prognostication markers for clinical outcome in chronic lymphocytic leukaemia (CLL), the most frequent adult B-cell malignancy. In this paper we present a methodology for integrating multiple immunogenetic and clinocobiological data sources in order to extract features and create high quality datasets for SHM analysis in IG receptors of CLL patients. This dataset is used as the basis for a higher level integration procedure, inspired form social choice theory. This is applied in the Towards Analysis, our attempt to investigate the potential ontogenetic transformation of genes belonging to specific stereotyped CLL subsets towards other genes or gene families, through SHM. The data integration process, followed by feature extraction, resulted in the generation of a dataset containing information about mutations occurring through SHM. The Towards analysis performed on the integrated dataset applying voting techniques, revealed the distinct behaviour of subset #201 compared to other subsets, as regards SHM related movements among gene clans, both in allele-conserved and non-conserved gene areas. With respect to movement between genes, a high percentage movement towards pseudo genes was found in all CLL subsets. This data integration and feature extraction process can set the basis for exploratory analysis or a fully automated computational data mining approach on many as yet unanswered, clinically relevant biological questions.

  19. EDITORIAL: Interesting times

    Science.gov (United States)

    Dobson Honorary Editor, Ken

    1996-01-01

    `May you live in interesting times' - old Chinese curse. First, many thanks to John Avison, the retiring Honorary Editor, for his hard work over the last five years, and the steady development in style and content under his stewardship. I can only hope to live up to the standards that he set. The next five years will take us into a new millenium, an event preceded - in England and Wales at least - by a period of stability, reflection and consolidation in education. Or so we are told - but whether such a self-denying ordinance will actually be maintained by the Government both before and after an election in 1997 remains to be seen. Nevertheless, we shall be thankful for any mercies, however small, that permit forward thinking rather than instant response. One of the things that readers of a journal called Physics Education should be thinking about is the continued decline in the numbers of students studying physics post-16. This is not a purely local phenomenon; most European countries are finding a similar decline. There are exceptions, of course: in Scotland numbers studying physics for Highers are increasing. Is such a decline a good thing or a bad thing? Only a minority of post-16 physics students go on to use the bulk of what they have learned in further studies or vocations. Does a knowledge and understanding of physics contribute to the mental well-being and cultural level - let alone material comfort - of any except those who use physics professionally? Is physics defensible as a contribution to the mental armoury of the educated citizen - compared with chemistry, biology - or Latin, say? Or should one rephrase that last question as `Is physics as we teach it today defensible...?' Such questions, and many others no doubt, may well be in the mind of the new Curriculum Officer appointed by the Institute of Physics `to engage in a wide-ranging consultation throughout the entire physics community on the nature and style of post-16 physics programmes, with a

  20. Research on the Extraction Technology of Hainan Li Brocade Patterns Elements Based on Photoshop%基于Photoshop的海南黎锦图案元素提取技术研究

    Institute of Scientific and Technical Information of China (English)

    周玉萍; 冯杰; 胡小蕾; 陈林川

    2016-01-01

    黎锦是黎族人民的织锦,黎锦图案是织绣在黎锦上的图案,代表了黎族人民的文化和历史。对黎锦图案的研究是拯救与传承黎锦文化的一个重要举措。该文使用Photoshop CS3图形图像处理技术,针对黎锦图案进行图案元素提取、变形和重构的技术处理,得出不同的黎锦图案元素。研究主要运用了Photoshop图像处理软件中的图像截图、抠图、自由变换、色相、亮度、对比度、RGB颜色调整等技术,经过一系列处理过程,得出了新的图案元素。%Li brocade is the li national brocade. Li brocade patterns is weaving and embroidery on Li brocade patterns. The pat-terns represents the Li people's culture and history. Research on Li brocade pattern is an important measure for saving and inher-iting Li brocade culture. This paper use Photoshop CS3 graphics and image processing technology, in view of the design ele-ments li brocade patterns are extracted, deformation and reconstruction technology processing, finally it is concluded that differ-ent Li Jin design elements. The research mainly use the Photoshop image processing software of image capture, cutout, free transform, hue, brightness, contrast, RGB color adjustment, such as technology, through a series of processing, it is concluded that the new design elements.

  1. Interest Organizations across Economic Sectors

    DEFF Research Database (Denmark)

    Berkhout, Joost; Carroll, Brendan; Braun, Caelesta

    2015-01-01

    on the basis of political and economic institutional factors. Focusing on business interest representation, we show that economic institutions structure the ‘supply’ of interest organizations by affecting the number of potential constituents, the resources available for lobbying and the geographical level....... The European Union interest system is (partially) shaped by economic factors, relatively independent from public policy or institutions.......The number of interest organizations (density) varies across policy domains, political issues and economic sectors. This shapes the nature and outcomes of interest representation. In this contribution, we explain the density of interest organizations per economic sector in the European Union...

  2. Native Americans' Interest in Horticulture.

    Science.gov (United States)

    Meyer, Mary Hockenberry

    1999-01-01

    Focus groups arranged by local Native American Master Gardeners on two Minnesota reservations determined community interest in extension-horticulture programs. Topics of interest included food preservation and historical Native-American uses of plants. (SK)

  3. Interest Organisations and European Integration

    DEFF Research Database (Denmark)

    Pedersen, Ove K.

    This paper examines the influence of European integration on the relationship between state administration and private interests in the four Nordic countries - Sweden, Denmark, Norway and Finland. By private interests I mean interest organizations, private corporations and independent experts. Th...... level preceding their government's representation of national interests in the European Council of Ministers and other EU organizations. Second is the effect of all this on national democratic systems....

  4. Information and perception of meaningful patterns.

    Directory of Open Access Journals (Sweden)

    Maria M Del Viva

    Full Text Available The visual system needs to extract the most important elements of the external world from a large flux of information in a short time for survival purposes. It is widely believed that in performing this task, it operates a strong data reduction at an early stage, by creating a compact summary of relevant information that can be handled by further levels of processing. In this work we formulate a model of early vision based on a pattern-filtering architecture, partly inspired by high-speed digital data reduction in experimental high-energy physics (HEP. This allows a much stronger data reduction than models based just on redundancy reduction. We show that optimizing this model for best information preservation under tight constraints on computational resources yields surprisingly specific a-priori predictions for the shape of biologically plausible features, and for experimental observations on fast extraction of salient visual features by human observers. Interestingly, applying the same optimized model to HEP data acquisition systems based on pattern-filtering architectures leads to specific a-priori predictions for the relevant data patterns that these devices extract from their inputs. These results suggest that the limitedness of computing resources can play an important role in shaping the nature of perception, by determining what is perceived as "meaningful features" in the input data.

  5. Upper secondary students’ situational interest:

    DEFF Research Database (Denmark)

    Dohn, Niels Bonderup

    2013-01-01

    interest was investigated by a descriptive interpretive approach, based on data from classroom and field trip observations, video recording, and interviews. The findings provided evidence that substantial situational interest can be generated during a fieldtrip to a zoo. Students’ interest was triggered...

  6. Quantifying national information interests using the activity of Wikipedia editors

    CERN Document Server

    Karimi, Fariba; Samoilenko, Ann; Rosvall, Martin; Lancichinetti, Andrea

    2015-01-01

    We live in a "global village" where electronic communication has eliminated the geographical barriers of information exchange. With global information exchange, the road is open to worldwide convergence of opinions and interests. However, it remains unknown to what extent interests actually have become global. To address how interests differ between countries, we analyze the information exchange in Wikipedia, the largest online collaborative encyclopedia. From the editing activity in Wikipedia, we extract the interest profiles of editors from different countries. Based on a statistical null model for interest profiles, we create a network of significant links between countries with similar interests. We show that countries are divided into 18 clusters with similar interest profiles in which language, geography, and historical background polarize the interests. Despite the opportunities of global communication, the results suggest that people nevertheless care about local information.

  7. Computer-assisted bone age assessment: image preprocessing and epiphyseal/metaphyseal ROI extraction.

    Science.gov (United States)

    Pietka, E; Gertych, A; Pospiech, S; Cao, F; Huang, H K; Gilsanz, V

    2001-08-01

    Clinical assessment of skeletal maturity is based on a visual comparison of a left-hand wrist radiograph with atlas patterns. Using a new digital hand atlas an image analysis methodology is being developed. To assist radiologists in bone age estimation. The analysis starts with a preprocessing function yielding epiphyseal/metaphyseal regions of interest (EMROIs). Then, these regions are subjected to a feature extraction function. Accuracy has been measured independently at three stages of the image analysis: detection of phalangeal tip, extraction of the EMROIs, and location of diameters and lower edge of the EMROIs. Extracted features describe the stage of skeletal development more objectively than visual comparison.

  8. Microbial protein in soil: influence of extraction method and C amendment on extraction and recovery.

    Science.gov (United States)

    Taylor, Erin B; Williams, Mark A

    2010-02-01

    The capacity to study the content and resolve the dynamics of the proteome of diverse microbial communities would help to revolutionize the way microbiologists study the function and activity of microorganisms in soil. To better understand the limitations of a proteomic approach to studying soil microbial communities, we characterized extractable soil microbial proteins using sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). Two methods were utilized to extract proteins from microorganisms residing in a Quitman and Benfield soil: (1) direct extraction of bulk protein from soil and (2) separation of the microorganisms from soil using density gradient centrifugation and subsequent extraction (DGC-EXT) of microbial protein. In addition, glucose and toluene amendments to soil were used to stimulate the growth of a subset of the microbial community. A bacterial culture and bovine serum albumin (BSA) were added to the soil to qualitatively assess their recovery following extraction. Direct extraction and resolution of microbial proteins using SDS-PAGE generally resulted in smeared and unresolved banding patterns on gels. DGC-EXT of microbial protein from soil followed by separation using SDS-PAGE, however, did resolve six to 10 bands in the Benfield but not the Quitman soil. DGC-EXT of microbial protein, but not direct extraction following the addition of glucose and toluene, markedly increased the number of bands (approximately 40) on the gels in both Benfield and Quitman soils. Low recoveries of added culture and BSA proteins using the direct extraction method suggest that proteins either bind to soil organic matter and mineral particles or that partial degradation takes place during extraction. Interestingly, DGC may have been preferentially selected for actively growing cells, as gauged by the 10-100x lower cy19:0/18:1omega7 ratio of the fatty acid methyl esters in the isolated community compared to that for the whole soil. DGC can be used to

  9. 基于光谱色的迷彩主色提取方法%Extraction Method of Dominant Colors of Pattern Painting Based on Spectrum Colors

    Institute of Scientific and Technical Information of China (English)

    喻钧; 刘飞鸿; 王占锋; 初苗

    2014-01-01

    针对采用聚类方法进行数码迷彩设计时存在提取主色的色度不稳定问题,提出一种基于光谱色的主色聚类中心确定算法。在建立CIE-XYZ系统的基础上对颜色的种类进行划分。将图像颜色从RGB空间转化到XYZ颜色空间,然后通过CIE-XYZ系统计算每一像素颜色的主波长、色纯度,并以主波长、色纯度为标准,选取初始聚类中心的颜色来代表背景图像的主色。实验结果表明:该算法实现的时间复杂度低,执行效率高。%Aiming at the chromaticity instability problem in the process of main-color extraction using clustering methods in digital camouflage design, this paper proposes an algorithm for determining the clustering center of dominant color based on spectral colors. On the basis of the CIE-XYZ system, the color type is classified by chromaticity. The image color space should be transformed from RGB to XYZ. The main wavelength and the color purity for each pixel are calculated in the CIE-XYZ system. Here the initial clustering center of the dominant color is selected for representing the dominant color of the background image. Experimental results show that the algorithm has low time complexity as well as high efficiency.

  10. Mastering Python design patterns

    CERN Document Server

    Kasampalis, Sakis

    2015-01-01

    This book is for Python programmers with an intermediate background and an interest in design patterns implemented in idiomatic Python. Programmers of other languages who are interested in Python can also benefit from this book, but it would be better if they first read some introductory materials that explain how things are done in Python.

  11. Mining Social Data to Extract Intellectual Knowledge

    Directory of Open Access Journals (Sweden)

    Muhammad Mahbubur Rahman

    2012-09-01

    Full Text Available Social data mining is an interesting phenomenon which colligates different sources of social data to extract information. This information can be used in relationship prediction, decision making, pattern recognition, social mapping, responsibility distribution and many other applications. This paper presents a systematical data mining architecture to mine intellectual knowledge from social data. In this research, we use social networking site facebook as primary data source. We collect different attributes such as about me, comments, wall post and age from facebook as raw data and use advanced data mining approaches to excavate intellectual knowledge. We also analyze our mined knowledge with comparison for possible usages like as human behavior prediction, pattern recognition, job responsibility distribution, decision making and product promoting.

  12. Arousing Students' Interest Through Games

    Institute of Scientific and Technical Information of China (English)

    李新清

    2013-01-01

    As is well known,interest is the best teacher and it can cause motivation. "Motivation is what moves the students from boredom to interest, It's something like engine and steering wheel of an automobile . "(Spolsky. B. 1989 ) So I decided to adopt some different kinds of games in my lessons to arouse the learners' interest and motivate them , and help them keep up their English learning.

  13. Navy Interest Inventory: Approach Development

    Science.gov (United States)

    2006-12-01

    lacking social skills” • Investigative is “analytical, intelligent , skeptical and having academic talent– lacking interpersonal skills” • Artistic is...occupational extroversion introversion scale, an educational orientation scale, and a variability of interests scale. A-25 Norms The General Themes and... introversion scale, an educational orientation scale, and a variability of interests scale. Norms The General Themes and Basic Interest Area scales were

  14. Finding Regions of Interest on Toroidal Meshes

    Energy Technology Data Exchange (ETDEWEB)

    Wu, Kesheng; Sinha, Rishi R; Jones, Chad; Ethier, Stephane; Klasky, Scott; Ma, Kwan-Liu; Shoshani, Arie; Winslett, Marianne

    2011-02-09

    Fusion promises to provide clean and safe energy, and a considerable amount of research effort is underway to turn this aspiration intoreality. This work focuses on a building block for analyzing data produced from the simulation of microturbulence in magnetic confinementfusion devices: the task of efficiently extracting regions of interest. Like many other simulations where a large amount of data are produced,the careful study of ``interesting'' parts of the data is critical to gain understanding. In this paper, we present an efficient approach forfinding these regions of interest. Our approach takes full advantage of the underlying mesh structure in magnetic coordinates to produce acompact representation of the mesh points inside the regions and an efficient connected component labeling algorithm for constructingregions from points. This approach scales linearly with the surface area of the regions of interest instead of the volume as shown with bothcomputational complexity analysis and experimental measurements. Furthermore, this new approach is 100s of times faster than a recentlypublished method based on Cartesian coordinates.

  15. Defining and Classifying Interest Groups

    DEFF Research Database (Denmark)

    Baroni, Laura; Carroll, Brendan; Chalmers, Adam;

    2014-01-01

    The interest group concept is defined in many different ways in the existing literature and a range of different classification schemes are employed. This complicates comparisons between different studies and their findings. One of the important tasks faced by interest group scholars engaged...... in large-N studies is therefore to define the concept of an interest group and to determine which classification scheme to use for different group types. After reviewing the existing literature, this article sets out to compare different approaches to defining and classifying interest groups with a sample...

  16. Management of interest rate risk

    Directory of Open Access Journals (Sweden)

    Šabović Šerif

    2014-01-01

    Full Text Available Interest rate risk is one of the biggest and most dangerous risks that a bank is exposed to. When a change of interest rates occurs, the incomes of a bank based on credits and securities endure significant changes. Banks resources also endure some changes. The change of interest rates changes the value of the assets and liabilities of the bank and it's net and investment worth . The change of interest rates also affects bank's balance sheet, income sheet statement and bank's share capital.

  17. Fostering Children's Interests in Gardening

    Science.gov (United States)

    Lekies, Kristi S.; Sheavly, Marcia Eames

    2007-01-01

    Despite the rapidly growing interest in children's gardens and attention to the positive benefits of gardening for children, little is known about the ways in which young people actually form interests in gardening. Using a sample of 9- and 10-year-old children at a school garden site in New York State, this study examined the ways in which…

  18. Interest in Mathematics = Interest in Mathematics? What General Measures of Interest Reflect When the Object of Interest Changes

    Science.gov (United States)

    Ufer, Stefan; Rach, Stefanie; Kosiol, Timo

    2017-01-01

    Students' motivational characteristics, e.g., subject-related interest, are considered important predictors for successful learning processes. However, few empirical studies provide evidence for the assumed chain of effects between high interest and high achievement in mathematics. One reason for this result might be that the applied measures of…

  19. Medication interest in pregnant women

    Directory of Open Access Journals (Sweden)

    Rok Antolič

    2011-12-01

    Medication interest is comparable to literature data: relatively high for acute problems, relatively low for iron supplementation and extremely low for preventative folic acid intake. As to our knowledge, we were the ones to introduce the term »medication interest« into professional literature in Slovenia.

  20. Committed to the Public Interest?

    DEFF Research Database (Denmark)

    Holm Pedersen, Lene

    2014-01-01

    While politicians are often seen as being motivated by narrow self-interest, this article offers an alternative view. The relationship between two pro-social dimensions – Commitment to the Public Interest (CPI) and User Orientation (UO) – and behavioural outcomes among local councillors is analyzed...

  1. 78 FR 39434 - Interest Rates

    Science.gov (United States)

    2013-07-01

    ... From the Federal Register Online via the Government Publishing Office SMALL BUSINESS ADMINISTRATION Interest Rates The Small Business Administration publishes an interest rate called the optional ``peg'' rate (13 CFR 120.214) on a quarterly basis. This rate is a weighted average cost of money to...

  2. 75 FR 17453 - Interest Rates

    Science.gov (United States)

    2010-04-06

    ... From the Federal Register Online via the Government Publishing Office SMALL BUSINESS ADMINISTRATION Interest Rates The Small Business Administration publishes an interest rate called the optional ``peg'' rate (13 CFR 120.214) on a quarterly basis. This rate is a weighted average cost of money to...

  3. 75 FR 81326 - Interest Rates

    Science.gov (United States)

    2010-12-27

    ... From the Federal Register Online via the Government Publishing Office SMALL BUSINESS ADMINISTRATION Interest Rates The Small Business Administration publishes an interest rate called the optional ``peg'' rate (13 CFR 120.214) on a quarterly basis. This rate is a weighted average cost of money to...

  4. 76 FR 18821 - Interest Rates

    Science.gov (United States)

    2011-04-05

    ... From the Federal Register Online via the Government Publishing Office SMALL BUSINESS ADMINISTRATION Interest Rates The Small Business Administration publishes an interest rate called the optional ``peg'' rate (13 CFR 120.214) on a quarterly basis. This rate is a weighted average cost of money to...

  5. 76 FR 77581 - Interest Rates

    Science.gov (United States)

    2011-12-13

    ... From the Federal Register Online via the Government Publishing Office SMALL BUSINESS ADMINISTRATION Interest Rates The Small Business Administration publishes an interest rate called the optional ``peg'' rate (13 CFR 120.214) on a quarterly basis. This rate is a weighted average cost of money to...

  6. 78 FR 18664 - Interest Rates

    Science.gov (United States)

    2013-03-27

    ... From the Federal Register Online via the Government Publishing Office ] SMALL BUSINESS ADMINISTRATION Interest Rates The Small Business Administration publishes an interest rate called the optional ``peg'' rate (13 CFR 120.214) on a quarterly basis. This rate is a weighted average cost of money to...

  7. 78 FR 62932 - Interest Rates

    Science.gov (United States)

    2013-10-22

    ... From the Federal Register Online via the Government Publishing Office SMALL BUSINESS ADMINISTRATION Interest Rates The Small Business Administration publishes an interest rate called the optional ``peg'' rate (13 CFR 120.214) on a quarterly basis. This rate is a weighted average cost of money to...

  8. 76 FR 38717 - Interest Rates

    Science.gov (United States)

    2011-07-01

    ... From the Federal Register Online via the Government Publishing Office SMALL BUSINESS ADMINISTRATION Interest Rates The Small Business Administration publishes an interest rate called the optional ``peg'' rate (13 CFR 120.214) on a quarterly basis. This rate is a weighted average cost of money to...

  9. 77 FR 76586 - Interest Rates

    Science.gov (United States)

    2012-12-28

    ... From the Federal Register Online via the Government Publishing Office SMALL BUSINESS ADMINISTRATION Interest Rates The Small Business Administration publishes an interest rate called the optional ``peg'' rate (13 CFR 120.214) on a quarterly basis. This rate is a weighted average cost of money to...

  10. 77 FR 39560 - Interest Rates

    Science.gov (United States)

    2012-07-03

    ... From the Federal Register Online via the Government Publishing Office SMALL BUSINESS ADMINISTRATION Interest Rates The Small Business Administration publishes an interest rate called the optional ``peg'' rate (13 CFR 120.214) on a quarterly basis. This rate is a weighted average cost of money to...

  11. 77 FR 20476 - Interest Rates

    Science.gov (United States)

    2012-04-04

    ... From the Federal Register Online via the Government Publishing Office SMALL BUSINESS ADMINISTRATION Interest Rates The Small Business Administration publishes an interest rate called the optional ``peg'' rate (13 CFR 120.214) on a quarterly basis. This rate is a weighted average cost of money to...

  12. 75 FR 37872 - Interest Rates

    Science.gov (United States)

    2010-06-30

    ... From the Federal Register Online via the Government Publishing Office SMALL BUSINESS ADMINISTRATION Interest Rates The Small Business Administration publishes an interest rate called the optional ``peg'' rate (13 CFR 120.214) on a quarterly basis. This rate is a weighted average cost of money to...

  13. 77 FR 59447 - Interest Rates

    Science.gov (United States)

    2012-09-27

    ... From the Federal Register Online via the Government Publishing Office SMALL BUSINESS ADMINISTRATION Interest Rates The Small Business Administration publishes an interest rate called the optional ``peg'' rate (13 CFR 120.214) on a quarterly basis. This rate is a weighted average cost of money to...

  14. 75 FR 60152 - Interest Rates

    Science.gov (United States)

    2010-09-29

    ... From the Federal Register Online via the Government Publishing Office SMALL BUSINESS ADMINISTRATION Interest Rates The Small Business Administration publishes an interest rate called the optional ``peg'' rate (13 CFR 120.214) on a quarterly basis. This rate is a weighted average cost of money to...

  15. Group interest versus self-interest in smallpox vaccination policy.

    Science.gov (United States)

    Bauch, Chris T; Galvani, Alison P; Earn, David J D

    2003-09-02

    The recent threat of bioterrorism has fueled debate on smallpox vaccination policy for the United States. Certain policy proposals call for voluntary mass vaccination; however, if individuals decide whether to vaccinate according to self-interest, the level of herd immunity achieved may differ from what is best for the population as a whole. We present a synthesis of game theory and epidemic modeling that formalizes this conflict between self-interest and group interest and shows that voluntary vaccination is unlikely to reach the group-optimal level. This shortfall results in a substantial increase in expected mortality after an attack.

  16. Organizational Business Interest as Organizational Request

    Directory of Open Access Journals (Sweden)

    Nasser Fegh-hi Farahmand

    2014-04-01

    Full Text Available Making a difference in organization or creating the very best product or service on themarket or simply doing something loves to do. Furthermore, it seems that the emphasis onorganizational empowerment as structure, and systems has not yielded the desired results assome of the companies where these variables have been changed, after sometime, wentback to experiencing declining performance. It is therefore obvious that more researchneeds to be done to identify characteristics that enhance organizational performance.Implementing good environmental and organizational practices is good organizationalbusiness it can give a competitive advantage. This article attempts to explain theorganizational business interest by patterns of thinking. Organizations use organizationalresources as the basic ingredient for all that is required for their operations. They aretherefore eager to maintain and improve the quantity of expendable organizationalresources by not only resources utilization, but by also identifying, nurturing andmaintaining characteristics that promote organizational performance. The key toorganization success is having a organizational business interest in place. Whetherorganization is about to launch a start-up or organization have been in organizationalbusiness for years, organizational business' direction is guided by your organizationalbusiness interest. In spite of this general awareness, such long-term organizational business,strategic-level interest of organizational business has been lacking in most organizations.

  17. Organizational Business Interest as Organizational Request

    Directory of Open Access Journals (Sweden)

    Nasser Fegh-hi Farahmand

    2012-11-01

    Full Text Available Making a difference in organization or creating the very best product or service on themarket or simply doing something loves to do. Furthermore, it seems that the emphasis onorganizational empowerment as structure, and systems has not yielded the desired results assome of the companies where these variables have been changed, after sometime, wentback to experiencing declining performance. It is therefore obvious that more researchneeds to be done to identify characteristics that enhance organizational performance.Implementing good environmental and organizational practices is good organizationalbusiness it can give a competitive advantage. This article attempts to explain theorganizational business interest by patterns of thinking. Organizations use organizationalresources as the basic ingredient for all that is required for their operations. They aretherefore eager to maintain and improve the quantity of expendable organizationalresources by not only resources utilization, but by also identifying, nurturing andmaintaining characteristics that promote organizational performance. The key toorganization success is having a organizational business interest in place. Whetherorganization is about to launch a start-up or organization have been in organizationalbusiness for years, organizational business' direction is guided by your organizationalbusiness interest. In spite of this general awareness, such long-term organizational business,strategic-level interest of organizational business has been lacking in most organizations.

  18. Spontaneous generalization of abstract multimodal patterns in young domestic chicks.

    Science.gov (United States)

    Versace, Elisabetta; Spierings, Michelle J; Caffini, Matteo; Ten Cate, Carel; Vallortigara, Giorgio

    2017-05-01

    From the early stages of life, learning the regularities associated with specific objects is crucial for making sense of experiences. Through filial imprinting, young precocial birds quickly learn the features of their social partners by mere exposure. It is not clear though to what extent chicks can extract abstract patterns of the visual and acoustic stimuli present in the imprinting object, and how they combine them. To investigate this issue, we exposed chicks (Gallus gallus) to three days of visual and acoustic imprinting, using either patterns with two identical items or patterns with two different items, presented visually, acoustically or in both modalities. Next, chicks were given a choice between the familiar and the unfamiliar pattern, present in either the multimodal, visual or acoustic modality. The responses to the novel stimuli were affected by their imprinting experience, and the effect was stronger for chicks imprinted with multimodal patterns than for the other groups. Interestingly, males and females adopted a different strategy, with males more attracted by unfamiliar patterns and females more attracted by familiar patterns. Our data show that chicks can generalize abstract patterns by mere exposure through filial imprinting and that multimodal stimulation is more effective than unimodal stimulation for pattern learning.

  19. Ideas, interests and institutional changes

    National Research Council Canada - National Science Library

    Jorge R B Tapia; Eduardo R Gomes

    2008-01-01

    This article discusses the relations between institutions, interests and ideas, taking as its reference point experiences in social concertation in Europe and welfare system reforms in Latin America in the 1990s...

  20. Interests diffusion in social networks

    Science.gov (United States)

    D'Agostino, Gregorio; D'Antonio, Fulvio; De Nicola, Antonio; Tucci, Salvatore

    2015-10-01

    We provide a model for diffusion of interests in Social Networks (SNs). We demonstrate that the topology of the SN plays a crucial role in the dynamics of the individual interests. Understanding cultural phenomena on SNs and exploiting the implicit knowledge about their members is attracting the interest of different research communities both from the academic and the business side. The community of complexity science is devoting significant efforts to define laws, models, and theories, which, based on acquired knowledge, are able to predict future observations (e.g. success of a product). In the mean time, the semantic web community aims at engineering a new generation of advanced services by defining constructs, models and methods, adding a semantic layer to SNs. In this context, a leapfrog is expected to come from a hybrid approach merging the disciplines above. Along this line, this work focuses on the propagation of individual interests in social networks. The proposed framework consists of the following main components: a method to gather information about the members of the social networks; methods to perform some semantic analysis of the Domain of Interest; a procedure to infer members' interests; and an interests evolution theory to predict how the interests propagate in the network. As a result, one achieves an analytic tool to measure individual features, such as members' susceptibilities and authorities. Although the approach applies to any type of social network, here it is has been tested against the computer science research community. The DBLP (Digital Bibliography and Library Project) database has been elected as test-case since it provides the most comprehensive list of scientific production in this field.

  1. The Term Structure of Interest Rates and Future Inflation

    OpenAIRE

    Viktor Kotlán

    2000-01-01

    Expected inflation is a major decision factor of various economic agents. Since expected inflation is not directly observable, economists have been seeking ways of extracting market’s inflation expectations from observable variables. One of the most reliable sources of inflation expectations is the term structure of interest rates. This paper presents the methodology and empirical results for the Czech Republic of using the term structure of interest for deriving future inflation expectations.

  2. Tooth extraction

    Science.gov (United States)

    ... this page: //medlineplus.gov/ency/article/007630.htm Tooth extraction To use the sharing features on this page, please enable JavaScript. A tooth extraction is a procedure to remove a tooth from ...

  3. Extracting gluino endpoints with event topology patterns

    Energy Technology Data Exchange (ETDEWEB)

    Pietsch, N. [Hamburg Univ. (Germany). Inst. fuer Experimentalphysik; Reuter, J.; Sakurai, K.; Wiesler, D. [Deutsches Elektronen-Synchrotron (DESY), Hamburg (Germany)

    2012-06-15

    In this paper we study the gluino dijet mass edge measurement at the LHC in a realistic situation including both SUSY and combinatorical backgrounds together with effects of initial and final state radiation as well as a finite detector resolution. Three benchmark scenarios are examined in which the dominant SUSY production process and also the decay modes are different. Several new kinematical variables are proposed to minimize the impact of SUSY and combinatorial backgrounds in the measurement. By selecting events with a particular number of jets and leptons, we attempt to measure two distinct gluino dijet mass edges originating from wino g {yields} jjW and bino g {yields}jjB decay modes, separately. We determine the endpoints of distributions of proposed and existing variables and show that those two edges can be disentangled and measured within good accuracy, irrespective of the presence of ISR, FSR, and detector effects.

  4. The Optimal Interest Rates and the Current Interest Rate System

    Directory of Open Access Journals (Sweden)

    Ioannis N. Kallianiotis

    2014-12-01

    Full Text Available The paper discusses the current target interest rate, which is closed to zero with the new experiment of quantitative easing since 2009 and has reduced the rate of return and the income and has made the real savings rate negative. This target rate has not reduced unemployment and has not improved growth (it is not optimal, but has increased the debt of individuals and the low taxes on businesses have magnified the budget deficits and the national debt. People were borrowing the present value of their uncertain future wealth and their high debt and low income raise the risk and this high risk premium heighten the interest rate on loans, especially on credit cards. The current monetary system needs to be changed and an interest rate floor on deposits (savings and an interest rate ceiling on individuals‟ loans (borrowings is necessary to improve social welfare, fairness, and justice in our society and not to support only disintermediation (financial markets. The middle class cannot work only to pay taxes and interest on its debt (redistribution of their wealth to government and banks or worse to be in chronic unemployment. Many home owners defaulted on their loans payments and their homes are foreclosed. They will end up without property (real assets. The unconcern towards the middle class will affect negatively the entire socio-economic structure of the nation and after losing its productive power, it will start declining, as history has shown to us with so many empires that do not exist anymore. We hope the leaders (the democratic governments to improve public policies, to regulate the financial market and institutions, and to satisfy their policy ultimate objective, which is citizens‟ perfection and the nation‟s highest point of prosperity.

  5. Interests Diffusion in Social Networks

    CERN Document Server

    D'Agostino, Gregorio; De Nicola, Antonio; Tucci, Salvatore

    2015-01-01

    Understanding cultural phenomena on Social Networks (SNs) and exploiting the implicit knowledge about their members is attracting the interest of different research communities both from the academic and the business side. The community of complexity science is devoting significant efforts to define laws, models, and theories, which, based on acquired knowledge, are able to predict future observations (e.g. success of a product). In the mean time, the semantic web community aims at engineering a new generation of advanced services by defining constructs, models and methods, adding a semantic layer to SNs. In this context, a leapfrog is expected to come from a hybrid approach merging the disciplines above. Along this line, this work focuses on the propagation of individual interests in social networks. The proposed framework consists of the following main components: a method to gather information about the members of the social networks; methods to perform some semantic analysis of the Domain of Interest; a p...

  6. Making working in retailing interesting

    DEFF Research Database (Denmark)

    Esbjerg, Lars; Buck, Nuka; Grunert, Klaus G.

    2010-01-01

    This paper is about how five retail chains in the Danish grocery industry attempt to make low-wage, low-status store-level retail jobs as checkout operators and sales assistants interesting from the perspective of both retailers and employees. Following analysis of the social and institutional...... context of Danish grocery retailer, we identify three types of retail employees (transitional workers, core employees and career seekers), who have different motivations and aspirations for working in grocery retailing. The central challenge for retailers is how to cope with the different employee types...... and make store-level retail jobs interesting to them. Although retailers mainly focus their attention on career seekers, we find that working in retailing is interesting for all employee types because the retailers are currently able to meet their respective motivations and aspirations. Nevertheless, we...

  7. Making working in retailing interesting

    DEFF Research Database (Denmark)

    Esbjerg, Lars; Buck, Nuka; Grunert, Klaus G.

    2010-01-01

    context of Danish grocery retailer, we identify three types of retail employees (transitional workers, core employees and career seekers), who have different motivations and aspirations for working in grocery retailing. The central challenge for retailers is how to cope with the different employee types...... and make store-level retail jobs interesting to them. Although retailers mainly focus their attention on career seekers, we find that working in retailing is interesting for all employee types because the retailers are currently able to meet their respective motivations and aspirations. Nevertheless, we...

  8. Market-Oriented Interest Rates

    Institute of Scientific and Technical Information of China (English)

    2012-01-01

    The People's Bank of China,the central bank,just took a major step in the market-oriented reform of interest rates,but it's difficult to say how far the govemment can go with the reform. The central bank cut deposit and lending interest rates by 0.25 percentage points and extended the floating range of the rates,in the hope of curbing the downward trend in economic growth.This is a strong signal to the market:The govemment is resolute in maintaining stable economic growth.

  9. Statistical Pattern Recognition

    CERN Document Server

    Webb, Andrew R

    2011-01-01

    Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions.  It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition, all require robust and efficient pattern recognition techniques. This third edition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields,

  10. Pattern based morphometry.

    Science.gov (United States)

    Gaonkar, Bilwaj; Pohl, Kilian; Davatzikos, Christos

    2011-01-01

    Voxel based morphometry (VBM) is widely used in the neuroimaging community to infer group differences in brain morphology. VBM is effective in quantifying group differences highly localized in space. However it is not equally effective when group differences might be based on interactions between multiple brain networks. We address this by proposing a new framework called pattern based morphometry (PBM). PBM is a data driven technique. It uses a dictionary learning algorithm to extract global patterns that characterize group differences. We test this approach on simulated and real data obtained from ADNI. In both cases PBM is able to uncover complex global patterns effectively.

  11. Personal continuous route pattern mining

    Institute of Scientific and Technical Information of China (English)

    Qian YE; Ling CHEN; Gen-cai CHEN

    2009-01-01

    In the daily life, people often repeat regular routes in certain periods. In this paper, a mining system is developed to find the continuous route patterns of personal past trips. In order to count the diversity of personal moving status, the mining system employs the adaptive GPS data recording and five data filters to guarantee the clean trips data. The mining system uses a client/server architecture to protect personal privacy and to reduce the computational load. The server conducts the main mining procedure but with insufficient information to recover real personal routes. In order to improve the scalability of sequential pattern mining, a novel pattern mining algorithm, continuous route pattern mining (CRPM), is proposed. This algorithm can tolerate the different disturbances in real routes and extract the frequent patterns. Experimental results based on nine persons' trips show that CRPM can extract more than two times longer route patterns than the traditional route pattern mining algorithms.

  12. Physics Trick Gets Students Interested

    Science.gov (United States)

    Subramaniam, R.; Riley, Joseph P., II

    2008-01-01

    Demonstrations are increasingly becoming staple fare in the armoury of physics teachers. Physics is generally perceived to be a difficult subject, so the use of demonstrations to scaffold understanding as well as generate interest among students is valuable. When a demonstration is presented in a mysterious manner, students want to know how it is…

  13. Speculation, Hedging, and Interest Rates

    DEFF Research Database (Denmark)

    Buraschi, Andrea; Whelan, Paul

    of Treasury bond markets that the singleagent paradigm finds difficult to reconcile. Empirically, we test predictions from themodel using a large dataset on beliefs about fundamentals and find that: (i) shocksto disagreement lower short term interest rates; (ii) raise the slope of the yield curve;and (iii...

  14. Forecasting Interest Rates and Inflation

    DEFF Research Database (Denmark)

    Chun, Albert Lee

    the best overall for short horizon forecasts of short to medium term yields and inflation. Econometric models with shrinkage perform the best over longer horizons and maturities. Aggregating over a larger set of analysts improves inflation surveys while generally degrading interest rates surveys. We...

  15. Speculation, Hedging, and Interest Rates

    DEFF Research Database (Denmark)

    Buraschi, Andrea; Whelan, Paul

    of Treasury bond markets that the singleagent paradigm finds difficult to reconcile. Empirically, we test predictions from themodel using a large dataset on beliefs about fundamentals and find that: (i) shocksto disagreement lower short term interest rates; (ii) raise the slope of the yield curve;and (iii...

  16. The Interest Rate Is Rising

    Science.gov (United States)

    Carlsen, G. Robert

    1970-01-01

    Discusses the developmental stages of students' reading interests and maintains that the teacher has to discuss the student's life and values "through the intermediary of literature" in order to encourage him to continue to read; paper presented at annual convention of National Council of Teachers of English (59th, Washington, D.C., November 28,…

  17. Organizational Change and Vested Interest

    NARCIS (Netherlands)

    Hendrikse, G.W.J.

    1996-01-01

    The nature of organizational change and the value of headquarters is derived from a model with costs of delay, vested interests and costs of organizational change.The value of headquarters is derived from imposed organizational change. It is viewed as an institution which is able to prevent surplus

  18. Public interests and corporate obligations

    DEFF Research Database (Denmark)

    Frederiksen, Claus Strue

    2016-01-01

    , and corporations) should try to promote the good, seen from an impartial perspective, meaning that everybody’s interest should be taken into account (Kagan 1989). I conclude that stakeholder theorists are unable to meet the challenge presented by consequentialism by traditional means, i.e. by referring to social...

  19. An Useful Information Extraction using Image Mining Techniques from Remotely Sensed Image (RSI)

    OpenAIRE

    Dr. C. Jothi Venkateswaran,; Murugan, S.; Dr. N. Radhakrishnan

    2010-01-01

    Information extraction using mining techniques from remote sensing image (RSI) is rapidly gaining attention among researchers and decision makers because of its potential in application oriented studies. Knowledge discovery from image poses many interesting challenges such as preprocessing the image data set, training the data and discovering useful image patterns applicable to many newapplication frontiers. In the image rich domain of RSI, image mining implies the synergy of data mining and ...

  20. Heterosexual Interests of Suburban Youth

    Science.gov (United States)

    Broderick, Carlfred B.

    1971-01-01

    Extensive cross sectional data suggest a real continuity between prepubertal attitudes and experience and those of adolescence. The preteen years (10-13) represent a period of preparation for later heterosexual involvement. These findings suggest need to modify traditional points of view regarding patterns of sociosexual development. (Author/CJ)

  1. Binary classification of items of interest in a repeatable process

    Science.gov (United States)

    Abell, Jeffrey A.; Spicer, John Patrick; Wincek, Michael Anthony; Wang, Hui; Chakraborty, Debejyo

    2014-06-24

    A system includes host and learning machines in electrical communication with sensors positioned with respect to an item of interest, e.g., a weld, and memory. The host executes instructions from memory to predict a binary quality status of the item. The learning machine receives signals from the sensor(s), identifies candidate features, and extracts features from the candidates that are more predictive of the binary quality status relative to other candidate features. The learning machine maps the extracted features to a dimensional space that includes most of the items from a passing binary class and excludes all or most of the items from a failing binary class. The host also compares the received signals for a subsequent item of interest to the dimensional space to thereby predict, in real time, the binary quality status of the subsequent item of interest.

  2. Extraction de motifs graduels emergents

    OpenAIRE

    Laurent, Anne; Lesot, Marie-Jeanne; Rifqi, Maria

    2015-01-01

    National audience; Mining emerging patterns aims at contrasting data sets and identifying itemsets that characterise a data set by contrast to a reference data set, so as to capture and highlight their differences. This paper considers the case of emerging gradual patterns, to extract discriminant attribute co-variations. It discusses the specific features of these gradual patterns and proposes to transpose an efficient border-based algorithm, justifying its applicability to the gradual case....

  3. Effects of craniofacial vertical dimension in orthodontic treatment with different extraction pattern%正畸治疗中不同拔牙模式对颅面垂直骨面型的影响

    Institute of Scientific and Technical Information of China (English)

    辛洪哲; 辛洪艳; 崔英涛; 王慧敏; 李天中

    2011-01-01

    Objective To study different influences of orthodonic treatments in different reduction extraction model for craniofacial vertical dimension. Methods There were 43 orthodonic patients who were divided into two groups according to different extraction model. Group A included 26 patients aged from 15.1 to 19.6, extraction four teeth of first premolars was the first step of orthodontic plan. Group B consisted of 17 patients aged from 15.2 to 17.8 and their four second premolars extracted for orthodontic treatment. No anchorage reinforcement was introduced. Treatment procedure followed MBT technique principles strictly. Cephalograms were taken on each patient before and after orthodontic treatment respectively. Cephalometrics was performed to evaluate the vertical dimension regarding to the skeletal and the dental. Independent-samples test was used to evaluate vertical dimension between group A and B before treatment.One-sample test was employed to compare the measurements before and after orthodontic treatment within either group A or B. Results Initially,there was no significant difference between group A and B (P>0.05) in vertical plane of space. After orthodontic treatment, there was no significant skeleton difference was found in each group by comparing items before and after (P>0.05). According to dental position, little differences emerged and did not get to the significant level (P>0.05). Conclusion During orthodontic treatment, different extraction patterns had no effects on craniofacial vertical dimension both in terms of the skeletal and the dental. Therefore during orthodontic treatment planning, there was inappropriate to rely on posterior teeth extraction to control vertical dimension in vertical excess cases.%目的:研究正畸治疗中不同减数拔牙模式对牙颌面在垂直方向是否产生不同影响.方法:研究对象包括43名正畸患者,根据正畸治疗中的减数拔牙模式分为两组.A组为减数拔除4

  4. eSeeTrack--visualizing sequential fixation patterns.

    Science.gov (United States)

    Tsang, Hoi Ying; Tory, Melanie; Swindells, Colin

    2010-01-01

    We introduce eSeeTrack, an eye-tracking visualization prototype that facilitates exploration and comparison of sequential gaze orderings in a static or a dynamic scene. It extends current eye-tracking data visualizations by extracting patterns of sequential gaze orderings, displaying these patterns in a way that does not depend on the number of fixations on a scene, and enabling users to compare patterns from two or more sets of eye-gaze data. Extracting such patterns was very difficult with previous visualization techniques. eSeeTrack combines a timeline and a tree-structured visual representation to embody three aspects of eye-tracking data that users are interested in: duration, frequency and orderings of fixations. We demonstrate the usefulness of eSeeTrack via two case studies on surgical simulation and retail store chain data. We found that eSeeTrack allows ordering of fixations to be rapidly queried, explored and compared. Furthermore, our tool provides an effective and efficient mechanism to determine pattern outliers. This approach can be effective for behavior analysis in a variety of domains that are described at the end of this paper.

  5. Comparison of commercial kits for the extraction of DNA from paddy soils.

    Science.gov (United States)

    Knauth, S; Schmidt, H; Tippkötter, R

    2013-03-01

    The objective of this study was to compare the extraction efficiency of commercial DNA kits by evaluating the quantity and purity of DNA extracts obtained from paddy soils. DNA was extracted from three paddy soils using the FastDNA® SPIN kit for soil (FD), the innuSPEED soil DNA kit (INS) and the NucleoSpin® soil kit (NSP). DNA extracts were analysed by agarose gel electrophoresis and UV spectroscopy. Polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) analyses were conducted to evaluate the potential bias of the DNA extractions on fingerprinting techniques. Regarding the quantity and the purity of the extracted DNA, the NSP kit was detected superior to the FD kit, while the INS kit failed to extract detectable amounts of DNA. DGGE fingerprints generated from PCR products (FD, NSP) showed high levels of similarity for the amplified 16S rRNA genes of methanogenic archaea (>95%) and bacteria (up to 100%) in each soil. This study suggested that the recently introduced NSP kit allowed for the adjustment of the lysis buffer composition to the soil of interest and is at least equivalent to the well-established FD kit for the extraction of DNA from paddy soils. The choice of commercial kits (FD, INS, NSP) has been of great importance regarding the quantity and purity of DNA extracted from paddy soils in this study. The composition of the cell lysis buffer represented a key component for successful extractions of DNA from different soils. The possibility of adjusting the lysis buffer to the soil of interest as well as the reproducibility of DGGE banding patterns makes the recently introduced NSP kit a strong competitor to the well-established FD kit for the extraction of DNA from paddy soils. © 2012 The Society for Applied Microbiology.

  6. Interests versus morality in politics

    Directory of Open Access Journals (Sweden)

    Radojčić Mirjana S.

    2002-01-01

    Full Text Available In this individual project the relationship between interests and moral in politics will be considered, taking into consideration the disintegration of former Yugoslavia and the processes of globalization. The starting thesis of the research is that the main actors of global politics are still guided by the modern principles of real-politics with interests as its basic category and power as its supreme value. In that context the main elements of external politics of USA as the key actor of the processes will be specially considered. In the concluding part of the research author will be argue in favor of the affirmation of a new model of global politics, matching the character and scope of the problems faced by humanity at the turn of the century and the millenium.

  7. Spoken Language Understanding Systems for Extracting Semantic Information from Speech

    CERN Document Server

    Tur, Gokhan

    2011-01-01

    Spoken language understanding (SLU) is an emerging field in between speech and language processing, investigating human/ machine and human/ human communication by leveraging technologies from signal processing, pattern recognition, machine learning and artificial intelligence. SLU systems are designed to extract the meaning from speech utterances and its applications are vast, from voice search in mobile devices to meeting summarization, attracting interest from both commercial and academic sectors. Both human/machine and human/human communications can benefit from the application of SLU, usin

  8. Iran: Illusion, Reality, and Interests

    Science.gov (United States)

    2012-09-01

    its past— con - temporary, modern, medieval, and ancient—than Iran’s. Nor is any state in the Gulf region more acutely afflicted by a sense of being...concise analysis that con - nects this both real and imagined past to the Iranian present. This analysis focuses on the early role of ideology and...the 19th century, British influence spread to the remainder of the Arab Gulf—Qatar, Abu Dhabi, and Dubai . Given British interests, the newfound Arab

  9. Informational pathologies and interest bubbles

    DEFF Research Database (Denmark)

    Hendricks, Vincent Fella; Wiewiura, Joachim Schmidt

    2017-01-01

    This article contends that certain configurations of information networks facilitate specific cognitive states that are instrumental for decision and action on social media. Group-related knowledge and belief states—in particular common knowledge and pluralistic ignorance—may enable strong public...... signals. Indeed, some network configurations and attitude states foster informational pathologies that may fuel interest bubbles affecting agenda-setting and the generation of narratives in public spheres....

  10. MONO, DI and TRI SSRs data extraction & storage from 1403 virus genomes with next generation retrieval mechanism.

    Science.gov (United States)

    Murthy, K V S S R; Satyanarayana, K V V

    2017-08-01

    Now a day׳s SSRs occupy the dominant role in different areas of bio-informatics like new virus identification, DNA finger printing, paternity & maternity identification, disease identification, future disease expectations and possibilities etc., Due to their wide applications in various fields and their significance, SSRs have been the area of interest for many researchers. In the SSRs extraction, retrieval algorithms are used; if retrieval algorithms quality is improved then automatically SSRs extraction system will achieve the most relevant results. For this retrieval purpose in this paper a new retrieval mechanism is proposed which will extracted the MONO, DI and TRI patterns. To extract the MONO, DI and TRI patterns using proposed retrieval mechanism in this paper, DNA sequence of 1403 virus genome data sets are considered and different MONO, DI and TRI patterns are searched in the data genome sequence file. The proposed Next Generation Sequencing (NGS) retrieval mechanism extracted the MONO, DI and TRI patterns without missing anything. It is observed that the retrieval mechanism reduces the unnecessary comparisons. Finally the extracted SSRs provide the useful, single view and useful resource to researchers.

  11. THE EFFECTS OF OPEN MARKET INTEREST RATES ON MALAYSIAN COMMERCIAL BANKS’ INTEREST RATE SPREAD: AN EMPIRICAL ANALYSIS

    OpenAIRE

    2002-01-01

    In this paper we investigate the effect of changes in open market interest rates on the interest rate spread of Malaysian commercial banks. This is performed by examining the causality and patterns of reactions of banking rates with respect to variation in open market rates. Based on vector autoregression analysis we show that there is one-way causation running from the open market rates to banking rates. Changes in open market rates significantly cause changes in the spread and deposit rates...

  12. Pattern matching

    NARCIS (Netherlands)

    A. Hak (Tony); J. Dul (Jan)

    2009-01-01

    textabstractPattern matching is comparing two patterns in order to determine whether they match (i.e., that they are the same) or do not match (i.e., that they differ). Pattern matching is the core procedure of theory-testing with cases. Testing consists of matching an “observed pattern” (a pattern

  13. Application of LC-MS to the analysis of dyes in objects of historical interest

    Science.gov (United States)

    Zhang, Xian; Laursen, Richard

    2009-07-01

    High-performance liquid chromatography (HPLC) with photodiode array and mass spectrometric detection permits dyes extracted from objects of historical interest or from natural plant or animal dyestuffs to be characterized on the basis of three orthogonal properties: HPLC retention time, UV-visible spectrum and molecular mass. In the present study, we have focused primarily on yellow dyes, the bulk of which are flavonoid glycosides that would be almost impossible to characterize without mass spectrometric detection. Also critical for this analysis is a method for mild extraction of the dyes from objects (e.g., textiles) without hydrolyzing the glycosidic linkages. This was accomplished using 5% formic acid in methanol, rather than the more traditional 6 M HCl. Mass spectroscopy, besides providing the molecular mass of the dye molecule, sometimes yields additional structural data based on fragmentation patterns. In addition, coeluting compounds can often be detected using extracted ion chromatography. The utility of mass spectrometry is illustrated by the analysis of historical specimens of silk that had been dyed yellow with flavonoid glycosides from Sophora japonica (pagoda tree) and curcumins from Curcuma longa (turmeric). In addition, we have used these techniques to identify the dye type, and sometimes the specific dyestuff, in a variety of objects, including a yellow varnish from a 19th century Tibetan altar and a 3000-year-old wool mortuary textiles, from Xinjiang, China. We are using HPLC with diode array and mass spectrometric detection to create a library of analyzed dyestuffs (>200 so far; mostly plants) to serve as references for identification of dyes in objects of historical interest.

  14. Electromembrane extraction

    DEFF Research Database (Denmark)

    Huang, Chuixiu; Chen, Zhiliang; Gjelstad, Astrid

    2017-01-01

    Electromembrane extraction (EME) was inspired by solid-phase microextraction and developed from hollow fiber liquid-phase microextraction in 2006 by applying an electric field over the supported liquid membrane (SLM). EME provides rapid extraction, efficient sample clean-up and selectivity based...

  15. Vacuum extraction

    DEFF Research Database (Denmark)

    Maagaard, Mathilde; Oestergaard, Jeanett; Johansen, Marianne

    2012-01-01

    Objectives. To develop and validate an Objective Structured Assessment of Technical Skills (OSATS) scale for vacuum extraction. Design. Two part study design: Primarily, development of a procedure-specific checklist for vacuum extraction. Hereafter, validationof the developed OSATS scale for vacuum...... extraction in a prospective observational study. Setting. Rigshospitalet, University Hospital of Copenhagen. Population. For development an obstetric expert from each labor ward in Denmark (28 departments) were invited to participate. For validation nine first-year residents and ten chief physicians...... with daily work in the obstetric field were tested. Methods. The Delphi method was used for development of the scale. In a simulated vacuum extraction scenario first-year residents and obstetric chief physicians were rated using the developed OSATS scale for vacuum extraction to test construct validity...

  16. Vacuum extraction

    DEFF Research Database (Denmark)

    Maagaard, Mathilde; Oestergaard, Jeanett; Johansen, Marianne

    2012-01-01

    Objectives. To develop and validate an Objective Structured Assessment of Technical Skills (OSATS) scale for vacuum extraction. Design. Two part study design: Primarily, development of a procedure-specific checklist for vacuum extraction. Hereafter, validationof the developed OSATS scale for vacuum...... extraction in a prospective observational study. Setting. Rigshospitalet, University Hospital of Copenhagen. Population. For development an obstetric expert from each labor ward in Denmark (28 departments) were invited to participate. For validation nine first-year residents and ten chief physicians...... with daily work in the obstetric field were tested. Methods. The Delphi method was used for development of the scale. In a simulated vacuum extraction scenario first-year residents and obstetric chief physicians were rated using the developed OSATS scale for vacuum extraction to test construct validity...

  17. Interest rates and structural shocks in European transition economies

    Directory of Open Access Journals (Sweden)

    Rajmund Mirdala

    2014-12-01

    Full Text Available European transition economies are still suffering from negative implications of economic crisis. Significant decrease in the key interest rates was followed by reduced maneuverability of central banks in providing incentives into real economies. Responsiveness of short-term interest rates to the structural shocks provides unique platform to investigate sources of their unexpected volatility and associated effects on monetary policy decision making. Moreover, sources of interest rates volatility may help to reveal side effects of the exchange rate regime choice. In the paper we analyze sources of the short-term nominal interest rates volatility in ten European transition economies by employing SVAR methodology. We observed unique patterns of the short-term interest rates responsiveness in countries with different exchange rate arrangements that contributes to the fixed versus flexible exchange rate dilemma.

  18. Mining Interesting Knowledge from Web-Log

    Institute of Scientific and Technical Information of China (English)

    ZHOU Hong-fang; FENG Bo-qin; HEI Xin-hong; LU Lin-tao

    2004-01-01

    Web-log contains a lot of information related with user activities on the Internet.How to mine user browsing interest patterns effectively is an important and challengeable research topic.On the analysis of the present algorithm's advantages and disadvantages, we propose a new concept: support-interest.Its key insight is that visitor will backtrack if they do not find the information where they expect.And the point from where they backtrack is the expected location for the page.We present User Access Matrix and the corresponding algorithm for discovering such expected locations that can handle page caching by the browser.Since the URL-URL matrix is a sparse matrix which can be represented by List of 3-tuples, we can mine user preferred sub-paths from the computation of this matrix.Accordingly, all the sub-paths are merged, and user preferred paths are formed.Experiments showed that it was accurate and scalable.It's suitable for website based application, such as to optimize website's topological structure or to design personalized services.

  19. Why Are Ring Galaxies Interesting?

    CERN Document Server

    Higdon, James L

    2010-01-01

    Compared with ordinary spirals, the ISM in ring galaxies experiences markedly different physical conditions and evolution. As a result, ring galaxies provide interesting perspectives on the triggering/quenching of large scale star formation and the destructive effects of massive stars on molecular cloud complexes. We use high resolution radio, sub-millimeter, infrared, and optical data to investigate the role of gravitational stability in star formation regulation, factors influencing the ISM's molecular fraction, and evidence of peculiar star formation laws and efficiencies in two highly evolved ring galaxies: Cartwheel and the Lindsay-Shapley ring.

  20. An Efficient Vein Pattern-based Recognition System

    CERN Document Server

    Soni, Mohit; Rao, M S; Gupta, Phalguni

    2010-01-01

    This paper presents an efficient human recognition system based on vein pattern from the palma dorsa. A new absorption based technique has been proposed to collect good quality images with the help of a low cost camera and light source. The system automatically detects the region of interest from the image and does the necessary preprocessing to extract features. A Euclidean Distance based matching technique has been used for making the decision. It has been tested on a data set of 1750 image samples collected from 341 individuals. The accuracy of the verification system is found to be 99.26% with false rejection rate (FRR) of 0.03%.

  1. Discovering market basket patterns using hierarchical association rules

    Directory of Open Access Journals (Sweden)

    Marijana Zekić-Sušac

    2015-10-01

    Full Text Available Association rules are a data mining method for discovering patterns of frequent item sets, such as products in a store that are frequently purchased at the same time by a customer (market basket analysis. A number of interestingness measures for association rules have been developed to date, but research has shown that there a dominant measure does not exist. Authors have mostly used objective measures, whereas subjective measures have rarely been investigated. This paper aims to combine objective measures such as support, confidence and lift with a subjective approach based on human expert selection in order to extract interesting rules from a real dataset collected from a large Croatian retail chain. Hierarchical association rules were used to enhance the efficiency of the extraction rule. The results show that rules that are more interesting were extracted using the hierarchical method, and that a hybrid approach of combining objective and subjective measures succeeds in extracting certain unexpected and actionable rules. The research can be useful for retail and marketing managers in planning marketing strategies, as well as for researchers investigating this field.

  2. Thermography pattern analysis and separation

    Science.gov (United States)

    Gao, Bin; Bai, Libing; Woo, W. L.; Tian, Guiyun

    2014-06-01

    Analysis of thermography spatial-transient patterns has considerable potential to enable automatic identification and quantification of defects in non-destructive testing and evaluation. This Letter proposes a non-negative pattern separation model for eddy current pulsed thermography to automatically extract important spatial and time patterns according to the transient thermal sequences without any pre-training or prior knowledge. In particular, the method is scale-invariant, such that large differences in surface emissivity, hot spots, and cool areas with dynamic range of thermal contrast can be extracted. Finally, an artificial slot in a steel sample with shining, black strip on the surface is tested to validate the proposed method.

  3. Dislocated interests and climate change

    Science.gov (United States)

    Davis, Steven J.; Diffenbaugh, Noah

    2016-06-01

    The predicted effects of climate change on surface temperatures are now emergent and quantifiable. The recent letter by Hansen and Sato (2016 Environ. Res. Lett. 11 034009) adds to a growing number of studies showing that warming over the past four decades has shifted the distribution of temperatures higher almost everywhere, with the largest relative effects on summer temperatures in developing regions such as Africa, South America, southeast Asia, and the Middle East (e.g., Diffenbaugh and Scherer 2011 Clim. Change 107 615-24 Anderson 2011 Clim. Change 108 581; Mahlstein et al 2012 Geophys. Res. Lett. 39 L21711). Hansen and Sato emphasize that although these regions are warming disproportionately, their role in causing climate change—measured by cumulative historical CO2 emissions produced—is small compared to the US and Europe, where the relative change in temperatures has been less. This spatial and temporal mismatch of climate change impacts and the burning of fossil fuels is a critical dislocation of interests that, as the authors note, has ‘substantial implications for global energy and climate policies.’ Here, we place Hansen and Sato’s ‘national responsibilities’ into a broader conceptual framework of problematically dislocated interests, and briefly discuss the related challenges for global climate mitigation efforts.

  4. Considering the Interest-Convergence Dilemma in STEM Education

    Science.gov (United States)

    Baber, Lorenzo DuBois

    2015-01-01

    This study examines tensions between universalist ideology and racial/ethnic inequalities in STEM education. Using data collected from qualitative interviews with STEM diversity administrators at 10 research-intensive, public universities, the study considers programmatic goals through an interest-convergence framework. Emerging patterns reveal…

  5. Refined Orbital Architecture for Targets of Naval Interest

    Science.gov (United States)

    2015-03-01

    pioneered the Walker delta pattern.29 The technique distributes t total satellites into p orbital planes, evenly spaced with a f relative phasing...NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS Approved for public release; distribution is unlimited REFINED ORBITAL ...Thesis 4. TITLE AND SUBTITLE 5. FUNDING NUMBERS REFINED ORBITAL ARCHITECTURE FOR TARGETS OF NAVAL INTEREST 6. AUTHOR(S) Andrew Konowicz 7

  6. Polyhedral patterns

    KAUST Repository

    Jiang, Caigui

    2015-10-27

    We study the design and optimization of polyhedral patterns, which are patterns of planar polygonal faces on freeform surfaces. Working with polyhedral patterns is desirable in architectural geometry and industrial design. However, the classical tiling patterns on the plane must take on various shapes in order to faithfully and feasibly approximate curved surfaces. We define and analyze the deformations these tiles must undertake to account for curvature, and discover the symmetries that remain invariant under such deformations. We propose a novel method to regularize polyhedral patterns while maintaining these symmetries into a plethora of aesthetic and feasible patterns.

  7. Necessity of Purification during Bacterial DNA Extraction with Environmental Soils.

    Science.gov (United States)

    Lim, Hyun Jeong; Choi, Jung-Hyun; Son, Ahjeong

    2017-08-08

    Complexity and heterogeneity of soil samples have often implied the inclusion of purification steps in conventional DNA extraction for PCR assays. Unfortunately the purification steps are also time and labor intensive. Therefore the necessity of DNA purification was re-visited and investigated for a variety of environmental soil samples that contained various amounts of PCR inhibitors. Bead beating and centrifugation was used as the baseline (without purification) method for DNA extraction. Its performance was compared with that of conventional DNA extraction kit (with purification). The necessity criteria for DNA purification were established with environmental soil samples. Using lysis conditions at 3000 rpm for 3 minutes with 0.1 mm glass beads, centrifugation time of 10 minutes and 1:10 dilution ratio, the baseline method outperformed conventional DNA extraction on cell seeded sand samples. Further investigation with PCR inhibitors (i.e., humic acids, clay, and magnesium) showed that sand samples containing less than 10 ug/g humic acids and 70% clay may not require purifications. Interestingly, the inhibition pattern of magnesium ion was different from other inhibitors due to the complexation interaction of magnesium ion with DNA fragments. It was concluded that DNA extraction method without purification is suitable for soil samples that have less than 10 ug/g of humic acids, less than 70% clay content and less than 0.01% magnesium ion content.

  8. Information, Interests, and Environmental Regulation

    DEFF Research Database (Denmark)

    Winter, Søren; May, Peter J.

    2002-01-01

    This study contributes to the understanding of informational approaches to bringing about compliance with environmental regulations with particular attention to differences in the influence of information provided by different information sources. Based on theorizing from a combination of informa......This study contributes to the understanding of informational approaches to bringing about compliance with environmental regulations with particular attention to differences in the influence of information provided by different information sources. Based on theorizing from a combination...... of information processing and interest group literatures, we develop hypotheses about regulatees' reliance upon and the influence of different sources of information. We test these hypotheses for Danish farmers’ compliance with agro-environmental rules. Our findings show that information plays a role in bringing...

  9. Situational or Personal: Interest in American History

    Science.gov (United States)

    Stewart, Victoria Caterina

    2010-01-01

    The main purpose of the study was to investigate how individuals with a stated interest in American history described their interest. Understanding interest and the factors influencing interest development in a particular content is important as personal interest has been described as "having a critical role in the learning and development of…

  10. Classification of Left-Right Hand Motor Imagery Electroencephalogram Signals Based on a Feature Extraction Common Spatial Pattern Algorithm%基于共空间模式的运动想象脑电信号识别研究

    Institute of Scientific and Technical Information of China (English)

    潘赛虎; 李文杰; 张义

    2014-01-01

    Classification of electroencephalogram(EEG)signal is an important issue in brain-computer interface(BCI). Based on the classification of the EEG signals,in this paper,we collect the left-right hand motor imagery EEG data of 7 subjects which are recorded by EGI-64 scalp electrodes placed according to the international 10/20 system. Firstly,the EEG data are denoised with extend Infomax-Independent Component Analysis ( ICA );Secondly, C3 and C4 electrodes features are extracted by using Common Spatial Pattern( CSP);Finally,the average classification rates of Fisher Linear Discriminant Analysis(FLDA),Bayesian,Radial Basis Function(RBF)neural network and BP neural network methods are compared. The classification results show that the average classification rate of neural network is higher than the other two methods,and that the average classification rate of BP neural network can be up to 95. 36%,but the other three methods of running velocity is obviously faster than the BP neural network. The results provide a basis for real-time BCI system implementation.%脑-机接口技术领域的关键问题是脑电信号的分类识别研究.本文针对脑电信号的分类问题,基于EGI-64导脑电采集系统得到7名被试者的左右手运动想象脑电数据,首先采用扩展Infomax-ICA方法对脑电数据进行去噪处理;然后利用共空间模式方法对C3/C42个电极的脑电信号进行特征提取;最后比较了Fisher线性判别分析法、贝叶斯方法、径向神经网络和BP神经网络几种算法的平均分类率.结果表明:神经网络分类方法得到的平均分类率要高于其他2种方法,而BP神经网络方法的平均分类率最高,可以达到95.36%,但另外3种方法的运行速度明显高于BP神经网络.该结果为实时BCI系统实施提供了一定依据.

  11. Wavelet Feature Extraction and Neural Network Pattern Recognition of Plywood Acoustic Emission Signals%胶合板声发射信号的小波包特征提取及神经网络模式识别

    Institute of Scientific and Technical Information of China (English)

    徐锋; 赵明忠; 刘云飞

    2011-01-01

    To identify the different damage types of plywood, a feature extraction method of plywood acoustic emission signal based on time-frequency and proportion of energy is proposed by combining wavelet-packet time-frequency analysis with energy spectrum. The research indicates that dilatational wave and flexural wave are main modes of plywood matrix cracks signal with wide frequency spectrum, and the energy of signal is mainly concentrated in the first, second, third, fourth and seventh-band of the wavelet power spectrum. Delamination and fiber fracture signals of five-story plywood are mainly dominated by dilatational wave and flexural wave mode respectively, the former frequency is unitary and amplitude is higher, the latter energy mostly focus on the first, second band. Degumming signal waveform are composed of dilatational wave and flexural wave, and the flexural wave is dominant, whose signal energy focus on the first, second, third and fourth band of the wavelet power spectrum. An intelligent pattern classifier with BP neural network was used in recognition of those four kinds of AE signals, the recognition accuracy of flaws amounted to 92. 6%.%为识别胶合板的不同损伤类型,将小波包时频分析与能量谱相结合,提出基于时频和频段能量占比的胶合板损伤声发射信号特征提取方法.研究得出胶合板基体开裂信号以膨胀波和弯曲波模式并举,频谱较宽,能量主要集中在小波能量谱的第一、二、三、四和七频段;分层信号频率单一,幅值较高,并以膨胀波为主;纤维断裂主要以弯曲波模式为主,频率较低;脱胶信号波形为膨胀波和弯曲波的混合型,以弯曲波为主,能量多集中于第一、二、三、四频段.用小波包提取的能量占比作为由BP神经网络构成的智能化模式分类器的输入样本,对4种声发射信号进行识别,正确率达到92.6%.

  12. Specialization Patterns

    DEFF Research Database (Denmark)

    Schultz, Ulrik Pagh; Lawall, Julia Laetitia; Consel, Charles

    2000-01-01

    Design patterns offer many advantages for software development, but can introduce inefficiency into the final program. Program specialization can eliminate such overheads, but is most effective when targeted by the user to specific bottlenecks. Consequently, we propose that these concepts...... are complementary. Program specialization can optimize programs written using design patterns, and design patterns provide information about the program structure that can guide specialization. Concretely, we propose specialization patterns, which describe how to apply program specialization to optimize uses...... of design patterns. In this paper, we analyze the specialization opportunities provided by specific uses of design patterns. Based on the analysis of each design pattern, we define the associated specialization pattern. These specialization opportunities can be declared using the specialization classes...

  13. Protein Extractability

    African Journals Online (AJOL)

    human nutrition, particularly in developing ... studied the effect of NaCl on the extractability of ... significant influence on the functional properties ..... Malaka, S. L. O. and Amund, O. O. Studies on the Life Cycle and Morphometrics of Honeybees,.

  14. Bevalac extraction

    Energy Technology Data Exchange (ETDEWEB)

    Kalnins, J.G.; Krebs, G.; Tekawa, M.; Cowles, D.; Byrne, T.

    1992-02-01

    This report will describe some of the general features of the Bevatron extraction system, primarily the dependence of the beam parameters and extraction magnet currents on the Bevalac field. The extraction magnets considered are: PFW, XPl, XP2, XS1, XS2, XM1, XM2, XM3, XQ3A and X03B. This study is based on 84 past tunes (from 1987 to the present) of various ions (p,He,O,Ne,Si,S,Ar,Ca,Ti,Fe,Nb,La,Au and U), for Bevalac fields from 1.749 to 12.575 kG, where all tunes included a complete set of beam line wire chamber pictures. The circulating beam intensity inside the Bevalac is measured with Beam Induction Electrodes (BIE) in the South Tangent Tank. The extracted beam intensity is usually measured with the Secondary Emission Monitor (SEM) in the F1-Box. For most of the tunes the extraction efficiency, as given by the SEM/BIE ratio, was not recorded in the MCR Log Book, but plotting the available Log Book data as a function of the Bevalac field, see Fig.9, we find that the extraction efficiency is typically between 30->60% with feedback spill.

  15. Using visual analytics model for pattern matching in surveillance data

    Science.gov (United States)

    Habibi, Mohammad S.

    2013-03-01

    In a persistent surveillance system huge amount of data is collected continuously and significant details are labeled for future references. In this paper a method to summarize video data as a result of identifying events based on these tagged information is explained, leading to concise description of behavior within a section of extended recordings. An efficient retrieval of various events thus becomes the foundation for determining a pattern in surveillance system observations, both in its extended and fragmented versions. The patterns consisting of spatiotemporal semantic contents are extracted and classified by application of video data mining on generated ontology, and can be matched based on analysts interest and rules set forth for decision making. The proposed extraction and classification method used in this paper uses query by example for retrieving similar events containing relevant features, and is carried out by data aggregation. Since structured data forms majority of surveillance information this Visual Analytics model employs KD-Tree approach to group patterns in variant space and time, thus making it convenient to identify and match any abnormal burst of pattern detected in a surveillance video. Several experimental video were presented to viewers to analyze independently and were compared with the results obtained in this paper to demonstrate the efficiency and effectiveness of the proposed technique.

  16. INTEREST IN ASTROLOGY AND PHRENOLOGY OVER TWO CENTURIES: A GOOGLE NGRAM STUDY.

    Science.gov (United States)

    Genovese, Jeremy E C

    2015-12-01

    The Google Ngram Viewer shows the frequency of words in a large corpus of books over two centuries. In this study, the names of two pseudosciences, astrology and phrenology, were compared. An interesting pattern emerged. While the level of interest in astrology remained relatively stable over the course of two centuries, interest in phrenology rose rapidly in the early 1800s but then declined. Reasons for this pattern are discussed.

  17. Interest Rate Pass‐Through in Mongolia

    National Research Council Canada - National Science Library

    Doojav, Gan‐Ochir; Kalirajan, Kaliappa

    2016-01-01

    This study empirically examines the interest rate pass‐through of the money market interest rate to bank lending and bank deposit interest rates in Mongolia using both linear and nonlinear autoregressive distributed lag (ARDL) models...

  18. Lines of Practice: A Practice-Centered Theory of Interest Relationships

    Science.gov (United States)

    Azevedo, Flavio S.

    2011-01-01

    Based on a three-year-long ethnography of the hobby of model rocketry, I present a practice-centered theory of interest relationships--that is, the pattern of long-term, self-motivated engagement in open-ended practices that has been theorized under the concept of "individual interests". In contrast to extant theories of individual interests, in…

  19. Pattern matching

    OpenAIRE

    Hak, Tony; Dul, Jan

    2009-01-01

    textabstractPattern matching is comparing two patterns in order to determine whether they match (i.e., that they are the same) or do not match (i.e., that they differ). Pattern matching is the core procedure of theory-testing with cases. Testing consists of matching an “observed pattern” (a pattern of measured values) with an “expected pattern” (a hypothesis), and deciding whether these patterns match (resulting in a confirmation of the hypothesis) or do not match (resulting in a disconfirmat...

  20. Pattern Based Morphometry

    OpenAIRE

    Gaonkar, Bilwaj; Pohl, Kilian; Davatzikos, Christos

    2011-01-01

    Voxel based morphometry (VBM) is widely used in the neuroimaging community to infer group differences in brain morphology. VBM is effective in quantifying group differences highly localized in space. However it is not equally effective when group differences might be based on interactions between multiple brain networks. We address this by proposing a new framework called pattern based morphometry (PBM). PBM is a data driven technique. It uses a dictionary learning algorithm to extract global...

  1. No association between dietary patterns and depressive symptoms among a community-dwelling population in Japan

    Directory of Open Access Journals (Sweden)

    Sugawara Norio

    2012-09-01

    Full Text Available Abstract Background Studies of the associations between diet and depression have primarily focused on single nutrients or foods. Recently, dietary patterns representing a combination of foods have attracted more interest than individual nutrient. The objective of this study was to examine the association between dietary patterns and depressive symptoms among a community-dwelling population in Japan. Methods We examined the association between dietary patterns and the risk of depression among 791 Japanese community-dwelling individuals. Diet was assessed with a validated brief-type self-administered diet history questionnaire (BDHQ. Dietary patterns from 52 predefined food groups [energy-adjusted food (g/d] were extracted by principal component analysis. The Center for Epidemiologic Studies Depression Scale (CES-D with a cut-off point of 16 was used to assess the prevalence of depression. Results A total of 97 subjects (12.3% were classified as having depression. Four dietary patterns were identified: “Healthy”, “Western”, “Bread and confectionery”, and “Alcohol and accompanying” dietary patterns. After adjusting for potential confounders, the dietary patterns were not related to the risk of depression. Conclusions The present study failed to find associations between dietary patterns and the risk of depression. However, the interpretation of our results was hampered by the lack of certain data, including employment physical activity and longitudinal observations. Potential associations between dietary patterns and depressive symptoms were not completely ruled out. Future research exploring dietary patterns and depressive symptoms is warranted.

  2. Efficient Analysis of Pattern and Association Rule Mining Approaches

    Directory of Open Access Journals (Sweden)

    Thabet Slimani

    2014-02-01

    Full Text Available The process of data mining produces various patterns from a given data source. The most recognized data mining tasks are the process of discovering frequent itemsets, frequent sequential patterns, frequent sequential rules and frequent association rules. Numerous efficient algorithms have been proposed to do the above processes. Frequent pattern mining has been a focused topic in data mining research with a good number of references in literature and for that reason an important progress has been made, varying from performant algorithms for frequent itemset mining in transaction databases to complex algorithms, such as sequential pattern mining, structured pattern mining, correlation mining. Association Rule mining (ARM is one of the utmost current data mining techniques designed to group objects together from large databases aiming to extract the interesting correlation and relation among huge amount of data. In this article, we provide a brief review and analysis of the current status of frequent pattern mining and discuss some promising research directions. Additionally, this paper includes a comparative study between the performance of the described approaches.

  3. Investigation of computer-aided colonic crypt pattern analysis

    Science.gov (United States)

    Qi, Xin; Pan, Yinsheng; Sivak, Michael V., Jr.; Olowe, Kayode; Rollins, Andrew M.

    2007-02-01

    Colorectal cancer is the second leading cause of cancer-related death in the United States. Approximately 50% of these deaths could be prevented by earlier detection through screening. Magnification chromoendoscopy is a technique which utilizes tissue stains applied to the gastrointestinal mucosa and high-magnification endoscopy to better visualize and characterize lesions. Prior studies have shown that shapes of colonic crypts change with disease and show characteristic patterns. Current methods for assessing colonic crypt patterns are somewhat subjective and not standardized. Computerized algorithms could be used to standardize colonic crypt pattern assessment. We have imaged resected colonic mucosa in vitro (N = 70) using methylene blue dye and a surgical microscope to approximately simulate in vivo imaging with magnification chromoendoscopy. We have developed a method of computerized processing to analyze the crypt patterns in the images. The quantitative image analysis consists of three steps. First, the crypts within the region of interest of colonic tissue are semi-automatically segmented using watershed morphological processing. Second, crypt size and shape parameters are extracted from the segmented crypts. Third, each sample is assigned to a category according to the Kudo criteria. The computerized classification is validated by comparison with human classification using the Kudo classification criteria. The computerized colonic crypt pattern analysis algorithm will enable a study of in vivo magnification chromoendoscopy of colonic crypt pattern correlated with risk of colorectal cancer. This study will assess the feasibility of screening and surveillance of the colon using magnification chromoendoscopy.

  4. Aptamers: Biomedical Interest and Applications

    Directory of Open Access Journals (Sweden)

    Cristina Romero-López

    2017-03-01

    Full Text Available Aptamers are short DNA or RNA oligonucleotides specialized in the specific and efficient binding to a target molecule. They are obtained by in vitro selection or evolution processes. It was in 1990 that two independent research groups described the bases of a new in vitro technology for the identification of RNA molecules able to specifically bind to a target [1,2]. Tuerk and Gold established the principals of the in vitro selection process that was named SELEX (Systematic Evolution of Ligands by Exponential enrichment, which is based on iterative cycles of binding, partitioning, and amplification of oligonucleotides from a pool of variant sequences [2]. Ellington and Szostak coined the term aptamer to define the selected molecules by the application of this method [1]. To date, numerous reports have described the isolation of aptamers directed against a great variety of targets covering a wide diversity of molecules varying in nature, size, and complexity ranging from ions to whole cells, including small molecules (e.g., aminoacids, nucleotides, antibiotics, peptides, proteins, nucleic acids, and viruses, among others (for example, see [3–6]. Modifications and optimization of the SELEX procedure aimed to get newly modified aptamers has also attracted much interest (examples can be found in [7,8]. These advances along with the parallel progresses in the nucleic acids chemistry and cellular delivery fields have allowed for the rise of a new hope in developing aptamers as efficient molecular tools for diagnostics and therapeutics (for recent comprehensive reviews, see [9–11].

  5. Heterocyclic Anions of Astrobiological Interest

    Science.gov (United States)

    Cole, Callie A.; Demarais, Nicholas J.; Yang, Zhibo; Snow, Theodore P.; Bierbaum, Veronica M.

    2013-12-01

    As more complex organic molecules are detected in the interstellar medium, the importance of heterocyclic molecules to astrobiology and the origin of life has become evident. 2-Aminothiazole and 2-aminooxazole have recently been suggested as important nucleotide precursors, highlighting azoles as potential prebiotic molecules. This study explores the gas-phase chemistry of three deprotonated azoles: oxazole, thiazole, and isothiazole. For the first time, their gas-phase acidities are experimentally determined with bracketing and H/D exchange techniques, and their reactivity is characterized with several detected interstellar neutral molecules (N2O, O2, CO, OCS, CO2, and SO2) and other reactive species (CS2, CH3Cl, (CH3)3CCl, and (CH3)3CBr). Rate constants and branching fractions for these reactions are experimentally measured using a modified commercial ion trap mass spectrometer whose kinetic data are in good accord with those of a flowing afterglow apparatus reported here. Last, we have examined the fragmentation patterns of these deprotonated azoles to elucidate their destruction mechanisms in high-energy environments. All experimental data are supported and complemented by electronic structure calculations at the B3LYP/6-311++G(d,p) and MP2(full)/aug-cc-pVDZ levels of theory.

  6. Heterocyclic anions of astrobiological interest

    Energy Technology Data Exchange (ETDEWEB)

    Cole, Callie A.; Demarais, Nicholas J.; Bierbaum, Veronica M. [Department of Chemistry and Biochemistry, 215 UCB, University of Colorado, Boulder, CO 80309 (United States); Yang, Zhibo [Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK 73019 (United States); Snow, Theodore P., E-mail: Callie.Cole@colorado.edu, E-mail: Nicholas.Demarais@colorado.edu, E-mail: Veronica.Bierbaum@colorado.edu, E-mail: Zhibo.Yang@ou.edu, E-mail: Theodore.Snow@colorado.edu [Department of Astrophysical and Planetary Sciences, 391 UCB, University of Colorado, Boulder, CO 80309 (United States)

    2013-12-20

    As more complex organic molecules are detected in the interstellar medium, the importance of heterocyclic molecules to astrobiology and the origin of life has become evident. 2-Aminothiazole and 2-aminooxazole have recently been suggested as important nucleotide precursors, highlighting azoles as potential prebiotic molecules. This study explores the gas-phase chemistry of three deprotonated azoles: oxazole, thiazole, and isothiazole. For the first time, their gas-phase acidities are experimentally determined with bracketing and H/D exchange techniques, and their reactivity is characterized with several detected interstellar neutral molecules (N{sub 2}O, O{sub 2}, CO, OCS, CO{sub 2}, and SO{sub 2}) and other reactive species (CS{sub 2}, CH{sub 3}Cl, (CH{sub 3}){sub 3}CCl, and (CH{sub 3}){sub 3}CBr). Rate constants and branching fractions for these reactions are experimentally measured using a modified commercial ion trap mass spectrometer whose kinetic data are in good accord with those of a flowing afterglow apparatus reported here. Last, we have examined the fragmentation patterns of these deprotonated azoles to elucidate their destruction mechanisms in high-energy environments. All experimental data are supported and complemented by electronic structure calculations at the B3LYP/6-311++G(d,p) and MP2(full)/aug-cc-pVDZ levels of theory.

  7. Study on electrical current variations in electromembrane extraction process: Relation between extraction recovery and magnitude of electrical current.

    Science.gov (United States)

    Rahmani, Turaj; Rahimi, Atyeh; Nojavan, Saeed

    2016-01-15

    This contribution presents an experimental approach to improve analytical performance of electromembrane extraction (EME) procedure, which is based on the scrutiny of current pattern under different extraction conditions such as using different organic solvents as supported liquid membrane, electrical potentials, pH values of donor and acceptor phases, variable extraction times, temperatures, stirring rates, different hollow fiber lengths and the addition of salts or organic solvents to the sample matrix. In this study, four basic drugs with different polarities were extracted under different conditions with the corresponding electrical current patterns compared against extraction recoveries. The extraction process was demonstrated in terms of EME-HPLC analyses of selected basic drugs. Comparing the obtained extraction recoveries with the electrical current patterns, most cases exhibited minimum recovery and repeatability at the highest investigated magnitude of electrical current. . It was further found that identical current patterns are associated with repeated extraction efficiencies. In other words, the pattern should be repeated for a successful extraction. The results showed completely different electrical currents under different extraction conditions, so that all variable parameters have contributions into the electrical current pattern. Finally, the current patterns of extractions from wastewater, plasma and urine samples were demonstrated. The results indicated an increase in the electrical current when extracting from complex matrices; this was seen to decrease the extraction efficiency.

  8. Extracting diagnosis from Japanese radiological report.

    Science.gov (United States)

    Imai, Takeshi; Onogi, Yuzo

    2003-01-01

    This study is aimed at extracting diagnosis with positive or negative assertion from radiological report written in Japanese Natural Language. We get frequency of verb patterns that indicate pos/neg assertion, and extract a rule in order of the occurrence. We made customized dictionary of 36,152 terms relating to disease names or radiological findings, and tried to extract pairs of (pos/neg, disease and verb pattern ) by using rules according to the most frequent pattern from 1,524/5,000 CT reports (each report consists of 15.1 words on the average). We tried only a few rules so far, and continue to find other rules.

  9. 26 CFR 1.61-7 - Interest.

    Science.gov (United States)

    2010-04-01

    ...) applies thereto) and on the proceeds of life insurance policies payable by reason of the insured's death... automatically converted to a payment on the principal); interest on legacies; interest on life insurance... between interest dates; amounts received in excess of original issue discount; interest on life...

  10. 7 CFR 3565.211 - Interest credit.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 15 2010-01-01 2010-01-01 false Interest credit. 3565.211 Section 3565.211... AGRICULTURE GUARANTEED RURAL RENTAL HOUSING PROGRAM Loan Requirements § 3565.211 Interest credit. (a... assistance in the form of interest credit, to the extent necessary to reduce the agreed-upon rate of interest...

  11. 10 CFR 503.25 - Public interest.

    Science.gov (United States)

    2010-01-01

    ... 10 Energy 4 2010-01-01 2010-01-01 false Public interest. 503.25 Section 503.25 Energy DEPARTMENT... Public interest. (a) Eligibility. Section 211(c) of the Act provides for a temporary public interest... exemption would be in accord with the purposes of the Act and would be in the public interest; and (3)...

  12. Interest enhancements to science experiments: Interactions with student gender

    Science.gov (United States)

    Martinez, Michael E.

    Males are more likely than females to aspire to and enter scientific careers, a pattern that might be attributed to gender differences in the appeal of school science. Differences might arise, in part, from gender-related interactions with the interest value of school science experiments. If modifiable, the interest value of experiments could influence attitudes toward science and subsequent choices concerning science involvement. In this study, middle school students carried out versions of science experiments designed to vary in their interest value. Experiment modifications, guided by a three-component model of interest, ranged from introduction of fantasy scenarios to manipulation of the difficulty and social context of the experiments. Subjects were 101 middle school students, 46 males and 55 females. Of primary interest were MANOVA comparisons of self-reported interest in the experiments, by gender and experimental condition. In general, interest enhancements were more effective for girls than boys. Boys were more attentive to aspects of the experiments that elicit perceptions of control, whereas girls were more attentive to social aspects.

  13. Interesting bone scans - unusual findings

    Energy Technology Data Exchange (ETDEWEB)

    Dobson, M.; Wadhwa, S.S.; Mansberg, R.; Fernandes, V.B. [Wollongong Hospital, Wollongong, NSW (Australia)

    1997-12-01

    fibrous dysplasia. Three cases with interesting and unusual bone scan findings assisted in further management and treatment of patients

  14. Pattern recognition

    CERN Document Server

    Theodoridis, Sergios

    2003-01-01

    Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. Patter Recognition, 2e covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. This book presents cutting-edge material on neural networks, - a set of linked microprocessors that can form associations and uses pattern recognition to ""learn"" -and enhances student motivation by approaching pattern recognition from the designer's point of view. A direct result of more than 10

  15. Adult orthodontic therapy: extraction versus non-extraction.

    Science.gov (United States)

    Baumrind, S

    1998-11-01

    This study addresses the problem of randomization of subjects with respect to an irreversible aspect of treatment strategy, namely, the extraction of teeth. The investigation includes both prospective and retrospective components. The data presented focus on clinician decision-making. Of the 1321 potential subjects for whom records were taken, 250 met the inclusion criteria. Of these subjects, 82 declined to participate and 20 were dropped because of difficulty in obtaining five independent evaluations of their records within a reasonable time frame. Thus, the final sample contained 148 subjects. Approximately one-third of the subjects in the sample are adult, somewhat more than half are female, and Class I malocclusions outnumber Class II malocclusions by a count of 95 to 53. Patterns of agreement and disagreement among five clinicians include: a) agreement/disagreement on the primary decision whether or not to extract: the data reveal a strong tendency towards consensus among the clinicians; b) agreement/disagreement on extraction pattern in patients in whom the clinician believes that extraction is indicated: the clinicians tended strongly to agree on extraction pattern; c) agreement/disagreement on the need for adjunctive orthognathic surgery: decisions favoring surgery were more common and more 'definite' than 'probable' in the adult cohort than in the adolescent cohort but this tendency was not as strong as had been anticipated; d) agreement/disagreement concerning Angle classification: disagreements were more common than had been anticipated; and e) differences among the individual clinicians as to their ratios of extraction/non-extraction decisions: overall, clinicians opted for extraction less frequently in the adolescent cohort than in the adult cohort (55 vs. 66%). Because the data are drawn from actual clinical experience, the conclusions involve a number of assumptions and their generalizability should be evaluated.

  16. Region-of-interest volumetric visual hull refinement

    KAUST Repository

    Knoblauch, Daniel

    2010-01-01

    This paper introduces a region-of-interest visual hull refinement technique, based on flexible voxel grids for volumetric visual hull reconstructions. Region-of-interest refinement is based on a multipass process, beginning with a focussed visual hull reconstruction, resulting in a first 3D approximation of the target, followed by a region-of-interest estimation, tasked with identifying features of interest, which in turn are used to locally refine the voxel grid and extract a higher-resolution surface representation for those regions. This approach is illustrated for the reconstruction of avatars for use in tele-immersion environments, where head and hand regions are of higher interest. To allow reproducability and direct comparison a publicly available data set for human visual hull reconstruction is used. This paper shows that region-of-interest reconstruction of the target is faster and visually comparable to higher resolution focused visual hull reconstructions. This approach reduces the amount of data generated through the reconstruction, allowing faster post processing, as rendering or networking of the surface voxels. Reconstruction speeds support smooth interactions between the avatar and the virtual environment, while the improved resolution of its facial region and hands creates a higher-degree of immersion and potentially impacts the perception of body language, facial expressions and eye-to-eye contact. Copyright © 2010 by the Association for Computing Machinery, Inc.

  17. Fish Classification Based on Robust Features Extraction From Color Signature Using Back-Propagation Classifier

    Directory of Open Access Journals (Sweden)

    Mutasem K. Alsmadi

    2011-01-01

    Full Text Available Problem statement: Image recognition was a challenging problem researchers had been research into this area for so long especially in the recent years, due to distortion, noise, segmentation errors, overlap and occlusion of objects in digital images. In our study, there are many fields concern with pattern recognition, for example, fingerprint verification, face recognition, iris discrimination, chromosome shape discrimination, optical character recognition, texture discrimination and speech recognition, the subject of pattern recognition appears. A system for recognizing isolated pattern of interest may be as an approach for dealing with such application. Scientists and engineers with interests in image processing and pattern recognition have developed various approaches to deal with digital image recognition problems such as, neural network, contour matching and statistics. Approach: In this study, our aim was to recognize an isolated pattern of interest (fish in the image based robust features extraction. Where depend on color signatures that are extracted by RGB color space, color histogram and gray level co-occurrence matrix. Results: We presented a system prototype for dealing with such problem. The system started by acquiring an image containing pattern of fish, then the image segmentation was performed relying on color signature. Our system has been applied on 20 different fish families, each family has a different number of fish types and our sample consists of distinct 610 of fish images. These images are divided into two datasets: 400 training images and 210 testing images. An overall accuracy was obtained using back-propagation classifier was 84% on the test dataset used. Conclusion: We developed a classifier for fish images recognition. We efficiently have chosen an image segmentation method to fit our demands. Our classifier successfully design and implement a decision which performed efficiently without any

  18. Applications of pattern recognition in aluminum alloy texture characterization

    Science.gov (United States)

    Liu, Guizhong; Rehbein, D. K.; Foley, James C.; Thompson, R. B.

    2000-05-01

    This paper presents a methodology to extract texture information in Aluminum alloys using pattern recognition algorithm. The orientation of the samples can be obtained by the orientation Image Microscope (OIM) technique. The ISO DATA pattern recognition algorithm is implemented to classify the OIM data into different clusters. Based on the classification results, the probability density function (pdf) is estimated. Then, the pdf is expanded as a series of Legendre functions with coefficients, i.e., the orientation distribution coefficients (ODC) as texture parameters. Three of these ODC's are of special interests, namely W400, W420, and W440. This paper includes results from ultrasonic NDE and this novel algorithm.—Ames Laboratory is operated for U.S. Department of Energy by Iowa State University under Contract W-7405-ENG-82. This work was supported by the Office of Basic Energy Sciences as a part of the Center of Excellence of the Synthesis and Processing of Advanced Materials.

  19. Information extraction

    NARCIS (Netherlands)

    Zhang, Lei; Hoede, C.

    2002-01-01

    In this paper we present a new approach to extract relevant information by knowledge graphs from natural language text. We give a multiple level model based on knowledge graphs for describing template information, and investigate the concept of partial structural parsing. Moreover, we point out that

  20. EXPANDING EXTRACTIONS

    NARCIS (Netherlands)

    Dietzenbacher, Erik; Lahr, Michael L.

    2013-01-01

    In this paper, we generalize hypothetical extraction techniques. We suggest that the effect of certain economic phenomena can be measured by removing them from an input-output (I-O) table and by rebalancing the set of I-O accounts. The difference between the two sets of accounts yields the phenomeno

  1. Novel Concept of the Magmatic Heat Extraction

    CERN Document Server

    Labinov, Mark

    2015-01-01

    Enhanced Geothermal Systems are the primary sources of interest nowadays. The paper presents a novel concept for the extraction of the magmatic heat directly from the magma chamber by utilizing the thermodynamic Retrograde Condensation curve.

  2. Automatic Statistics Extraction for Amateur Soccer Videos

    NARCIS (Netherlands)

    van Gemert, J.C.; Schavemaker, J.G.M.; Bonenkamp, K.; Spink, A.J.; Loijens, L.W.S.; Woloszynowska-Fraser, M.; Noldus, L.P.J.J.

    2014-01-01

    Amateur soccer statistics have interesting applications such as providing insights to improve team performance, individual coaching, monitoring team progress and personal or team entertainment. Professional soccer statistics are extracted with labor intensive expensive manual effort which is not rea

  3. Automatic Statistics Extraction for Amateur Soccer Videos

    NARCIS (Netherlands)

    Gemert, J.C. van; Schavemaker, J.G.M.; Bonenkamp, C.W.B.

    2014-01-01

    Amateur soccer statistics have interesting applications such as providing insights to improve team performance, individual coaching, monitoring team progress and personal or team entertainment. Professional soccer statistics are extracted with labor intensive expensive manual effort which is not rea

  4. Varianish: Jamming with Pattern Repetition

    Directory of Open Access Journals (Sweden)

    Jort Band

    2014-10-01

    Full Text Available In music, patterns and pattern repetition are often regarded as a machine-like task, indeed often delegated to drum Machines and sequencers. Nevertheless, human players add subtle differences and variations to repeated patterns that are musically interesting and often unique. Especially when looking at minimal music, pattern repetitions create hypnotic effects and the human mind blends out the actual pattern to focus on variation and tiny differences over time. Varianish is a musical instrument that aims at turning this phenomenon into a new musical experience for musician and audience: Musical pattern repetitions are found in live music and Varianish generates additional (musical output accordingly that adds substantially to the overall musical expression. Apart from the theory behind the pattern finding and matching and the conceptual design, a demonstrator implementation of Varianish is presented and evaluated.

  5. Geodesic patterns

    KAUST Repository

    Pottmann, Helmut

    2010-07-26

    Geodesic curves in surfaces are not only minimizers of distance, but they are also the curves of zero geodesic (sideways) curvature. It turns out that this property makes patterns of geodesics the basic geometric entity when dealing with the cladding of a freeform surface with wooden panels which do not bend sideways. Likewise a geodesic is the favored shape of timber support elements in freeform architecture, for reasons of manufacturing and statics. Both problem areas are fundamental in freeform architecture, but so far only experimental solutions have been available. This paper provides a systematic treatment and shows how to design geodesic patterns in different ways: The evolution of geodesic curves is good for local studies and simple patterns; the level set formulation can deal with the global layout of multiple patterns of geodesics; finally geodesic vector fields allow us to interactively model geodesic patterns and perform surface segmentation into panelizable parts. © 2010 ACM.

  6. Foam patterns

    Science.gov (United States)

    Chaudhry, Anil R; Dzugan, Robert; Harrington, Richard M; Neece, Faurice D; Singh, Nipendra P; Westendorf, Travis

    2013-11-26

    A method of creating a foam pattern comprises mixing a polyol component and an isocyanate component to form a liquid mixture. The method further comprises placing a temporary core having a shape corresponding to a desired internal feature in a cavity of a mold and inserting the mixture into the cavity of the mold so that the mixture surrounds a portion of the temporary core. The method optionally further comprises using supporting pins made of foam to support the core in the mold cavity, with such pins becoming integral part of the pattern material simplifying subsequent processing. The method further comprises waiting for a predetermined time sufficient for a reaction from the mixture to form a foam pattern structure corresponding to the cavity of the mold, wherein the foam pattern structure encloses a portion of the temporary core and removing the temporary core from the pattern independent of chemical leaching.

  7. On the Information in the Interest Rate Term Structure and Option Prices

    NARCIS (Netherlands)

    de Jong, F.; Driessen, J.; Pelsser, A.

    2004-01-01

    We examine whether the information in cap and swaption prices is consistent with realized movements of the interest rate term structure. To extract an option-implied interest rate covariance matrix from cap and swaption prices, we use Libor market models as a modelling framework. We propose a

  8. Detection and Extraction of Roads from High Resolution Satellites Images with Dynamic Programming

    Science.gov (United States)

    Benzouai, Siham; Smara, Youcef

    2010-12-01

    The advent of satellite images allows now a regular and a fast digitizing and update of geographic data, especially roads which are very useful for Geographic Information Systems (GIS) applications such as transportation, urban pollution, geomarketing, etc. For this, several studies have been conducted to automate roads extraction in order to minimize the manual processes [4]. In this work, we are interested in roads extraction from satellite imagery with high spatial resolution (at best equal to 10 m). The method is semi automatic and follows a linear approach where road is considered as a linear object. As roads extraction is a pattern recognition problem, it is useful, above all, to characterize roads. After, we realize a pre-processing by applying an Infinite Size Edge Filter -ISEF- and processing method based on dynamic programming concept, in particular, Fishler algorithm designed by F*.

  9. A Pattern Measure

    CERN Document Server

    Klinger, Allen

    2011-01-01

    In this paper we propose numerical measures for evaluating the aesthetic interest of simple patterns. The patterns consist of elements (symbols, pixels, etc.) in regular square arrays. The measures depend on two characteristics of the patterns: the number of different types of element, and the number of symmetries in their arrangement. We define two complementary composite measures L and C for the degree of pattern in a design, and compute them here for 2x2 and 6x6 arrays. The results distinguish simple from high-variation cases. We suspect that the measure L corresponds to the degree that human beings intuitively feel a design to be "interesting", so this model would aid in quantifying the visual connection of two- dimensional designs with viewers. The other composite measure C based on these numerical properties characterizes the extent of randomness of an array. Combining symbol variety with symmetry calculations allows us to employ hierarchical scaling to count the relative impact of different levels of s...

  10. Multi-field Pattern Matching based on Sparse Feature Sampling.

    Science.gov (United States)

    Wang, Zhongjie; Seidel, Hans-Peter; Weinkauf, Tino

    2016-01-01

    We present an approach to pattern matching in 3D multi-field scalar data. Existing pattern matching algorithms work on single scalar or vector fields only, yet many numerical simulations output multi-field data where only a joint analysis of multiple fields describes the underlying phenomenon fully. Our method takes this into account by bundling information from multiple fields into the description of a pattern. First, we extract a sparse set of features for each 3D scalar field using the 3D SIFT algorithm (Scale-Invariant Feature Transform). This allows for a memory-saving description of prominent features in the data with invariance to translation, rotation, and scaling. Second, the user defines a pattern as a set of SIFT features in multiple fields by e.g. brushing a region of interest. Third, we locate and rank matching patterns in the entire data set. Experiments show that our algorithm is efficient in terms of required memory and computational efforts.

  11. Patterns of Internationalization

    DEFF Research Database (Denmark)

    Prockl, Günter; Kotzab, Herbert; Kinra, Aseem

    2013-01-01

    , and infact show different patterns to their international development. However, there are other important transactional and market-oriented considerations, and overall dynamics that need to be examined before concluding on the internationalization levels of container shipping companies, and the industry....... The purpose of this paper is to further investigate the patterns of internationalisation by the examination of the more demand-oriented considerations. Design/methodology/approach - In order to answer the research question, the paper focusses on the examination of the front-end activities and structures like...... for the worldwide presence of a company. Research limitations/implications (if applicable) - The paper adds yet another piece to the interesting puzzle on internationalization patterns of container shipping companies. However, for a complete picture on the internationalization process further work will be required...

  12. Search Patterns

    CERN Document Server

    Morville, Peter

    2010-01-01

    What people are saying about Search Patterns "Search Patterns is a delight to read -- very thoughtful and thought provoking. It's the most comprehensive survey of designing effective search experiences I've seen." --Irene Au, Director of User Experience, Google "I love this book! Thanks to Peter and Jeffery, I now know that search (yes, boring old yucky who cares search) is one of the coolest ways around of looking at the world." --Dan Roam, author, The Back of the Napkin (Portfolio Hardcover) "Search Patterns is a playful guide to the practical concerns of search interface design. It cont

  13. Virology Interest Group | Center for Cancer Research

    Science.gov (United States)

    The Virology Interest Group comprises researchers at NIH and in the local area who are interested in virology. The group organizes activities designed to promote interactions and exchange of information.

  14. The Relationship between Occupational Interests and Values

    Science.gov (United States)

    Smith, Thomas J.; Campbell, Cynthia

    2009-01-01

    A values characterization of the RIASEC occupational interest categories was developed using the U.S. Department of Labor's O*NET occupational data. Values profile plots were constructed for each interest category, then correspondence analysis and canonical correlation were carried out to assess the relationship between the interest and values…

  15. Dialectical roots for interest prohibition theory

    NARCIS (Netherlands)

    J.A. Bergstra

    2011-01-01

    It is argued that arguments for strict prohibition of interests must be based on the use of arguments from authority. This is carried out by first making a survey of so-called dialectical roots for interest prohibition and then demonstrating that for at least one important positive interest bearing

  16. The Self- and Other-Interest Inventory.

    Science.gov (United States)

    Gerbasi, Margaret E; Prentice, Deborah A

    2013-09-01

    Five studies develop and validate the Self- and Other-Interest Inventory, an individual-difference measure of the motivation to act in one's own interest and the motivation to act in another's interest that measures these motivations at the level of self-beliefs. Study 1 demonstrates that self- and other-interest can be measured reliably and validly, as independent constructs, with a self-report measure. Study 2 develops a version of the Self- and Other-Interest Inventory for use with a general population and demonstrates systematic changes in the relation between self- and other-interest scores with age. Study 3 shows that self- and other-interest scores vary independently, as a function of the accessibility of related values. Study 4 provides evidence that self-interest scores predict behaviors that benefit the self and that other-interest scores predict behaviors that benefit another person. Finally, Study 5 demonstrates that in situations that involve a trade-off between the pursuit of self-interest and the pursuit of other-interest, such as the prisoner's dilemma, self- and other-interest scores contribute independently to behavioral prediction.

  17. Public Interest Law: Five Years Later.

    Science.gov (United States)

    Jaffe, Sanford

    This report provides an account of public-interest law firm activities supported by the Ford Foundation. Public interest law is a phrase that describes efforts aimed at providing legal representation for underrepresented interests in the legal process. The report is arranged into four major sections. The first section, on the evolution of the…

  18. Interest in Subject Matter: The Mathematics Predicament

    Science.gov (United States)

    Rotgans, Jerome I.; Schmidt, Henk G.

    2014-01-01

    The present study sought to explore (a) the extent to which certain school subjects are perceived "sui generis" more interesting than others and (b) the extent to which students' interest in a subject is related to their study choices. A mixed-methods approach was chosen in which an individual interest questionnaire and an open-ended…

  19. 32 CFR 701.34 - Public interest.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 5 2010-07-01 2010-07-01 false Public interest. 701.34 Section 701.34 National Defense Department of Defense (Continued) DEPARTMENT OF THE NAVY UNITED STATES NAVY REGULATIONS AND... DOCUMENTS AFFECTING THE PUBLIC FOIA Definitions and Terms § 701.34 Public interest. The interest...

  20. 31 CFR 547.305 - Interest.

    Science.gov (United States)

    2010-07-01

    ... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Interest. 547.305 Section 547.305 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE OF FOREIGN... Definitions § 547.305 Interest. Except as otherwise provided in this part, the term interest, when used with...

  1. Interest prohibition and financial product innovation

    NARCIS (Netherlands)

    J.A. Bergstra; C.A. Middelburg

    2011-01-01

    We give a rough sketch of the Judaic, Greek, Islamic and Christian positions in the matter of interest prohibition during the last few millennia and discuss the way in which interest prohibition is dealt with in Islamic finance, the problems with authority-based arguments for interest prohibition, a

  2. 7 CFR 29.28 - Interested party.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 2 2010-01-01 2010-01-01 false Interested party. 29.28 Section 29.28 Agriculture Regulations of the Department of Agriculture AGRICULTURAL MARKETING SERVICE (Standards, Inspections, Marketing... INSPECTION Regulations Definitions § 29.28 Interested party. The owner or other financially interested...

  3. 7 CFR 1980.423 - Interest rates.

    Science.gov (United States)

    2010-01-01

    ... guarantee except the normal fluctuations in approved variable interest rate loans. (b) Insured loans. (1... 7 Agriculture 14 2010-01-01 2009-01-01 true Interest rates. 1980.423 Section 1980.423 Agriculture... REGULATIONS (CONTINUED) GENERAL Business and Industrial Loan Program § 1980.423 Interest rates. (a)...

  4. Chladni Pattern

    OpenAIRE

    Xiao, Wence

    2010-01-01

    The report aimed at mathematically describing the Chladni Pattern for a plate based on the equation of motion in two dimensions. It began with deriving the equation of motion of a single point from Newton’s laws, and later derived the equation of motion for the vibration in two dimension, and gave the normal modes through the method of separation of variables. The next was deriving the nodal pattern when the initial conditions and bound- ary conditions were given. At t...

  5. A pattern recognition mezzanine based on associative memory and FPGA technology for L1 track triggering at HL-LHC

    Energy Technology Data Exchange (ETDEWEB)

    Alunni, L. [INFN Sezione di Perugia (Italy); Biesuz, N. [INFN Sezione di Pisa (Italy); Bilei, G.M. [INFN Sezione di Perugia (Italy); Citraro, S. [Università di Pisa, Pisa (Italy); Crescioli, F. [LPNHE, Paris (France); Fanò, L. [INFN Sezione di Perugia (Italy); Fedi, G., E-mail: giacomo.fedi@pi.infn.it [INFN Sezione di Pisa (Italy); Magalotti, D. [INFN Sezione di Perugia (Italy); UNIMORE, Modena (Italy); Magazzù, G. [INFN Sezione di Pisa (Italy); Servoli, L.; Storchi, L. [INFN Sezione di Perugia (Italy); Palla, F. [INFN Sezione di Pisa (Italy); Placidi, P. [INFN Sezione di Perugia (Italy); DIEI, Perugia (Italy); Papi, A. [INFN Sezione di Perugia (Italy); Piadyk, Y. [LPNHE, Paris (France); Rossi, E. [INFN Sezione di Pisa (Italy); Spiezia, A. [IHEP (China)

    2016-07-11

    The increase of luminosity at HL-LHC will require the introduction of tracker information at Level-1 trigger system for the experiments to maintain an acceptable trigger rate to select interesting events despite the one order of magnitude increase in the minimum bias interactions. To extract in the required latency the track information a dedicated hardware has to be used. We present the tests of a prototype system (Pattern Recognition Mezzanine) as core of pattern recognition and track fitting for HL-LHC ATLAS and CMS experiments, combining the power of both Associative Memory custom ASIC and modern Field Programmable Gate Array (FPGA) devices.

  6. A pattern recognition mezzanine based on associative memory and FPGA technology for L1 track triggering at HL-LHC

    Science.gov (United States)

    Alunni, L.; Biesuz, N.; Bilei, G. M.; Citraro, S.; Crescioli, F.; Fanò, L.; Fedi, G.; Magalotti, D.; Magazzù, G.; Servoli, L.; Storchi, L.; Palla, F.; Placidi, P.; Papi, A.; Piadyk, Y.; Rossi, E.; Spiezia, A.

    2016-07-01

    The increase of luminosity at HL-LHC will require the introduction of tracker information at Level-1 trigger system for the experiments to maintain an acceptable trigger rate to select interesting events despite the one order of magnitude increase in the minimum bias interactions. To extract in the required latency the track information a dedicated hardware has to be used. We present the tests of a prototype system (Pattern Recognition Mezzanine) as core of pattern recognition and track fitting for HL-LHC ATLAS and CMS experiments, combining the power of both Associative Memory custom ASIC and modern Field Programmable Gate Array (FPGA) devices.

  7. Discussing Problems of Chinese Interest Rate liberalization

    Institute of Scientific and Technical Information of China (English)

    李朝民; 陈金贤

    2002-01-01

    The level of Chinese interest rate liberalization is very low. The interest rate liberalization reform is an inevitable choice under the general trend of economic globalization in the world. Meanwhile, interest rate liberalization is indispensable for Chinese economic development and financial stabilization. The interest rate liberalization reform should follow a certain principles and satisfy a certain requirements, otherwise the financial order will be in a state of chaos and the negative influence on economy will appear. The interest rate liberalization reform needs a good economic environment and a series of relative reforms.

  8. Magnetic Assisted Colloidal Pattern Formation

    Science.gov (United States)

    Yang, Ye

    Pattern formation is a mysterious phenomenon occurring at all scales in nature. The beauty of the resulting structures and myriad of resulting properties occurring in naturally forming patterns have attracted great interest from scientists and engineers. One of the most convenient experimental models for studying pattern formation are colloidal particle suspensions, which can be used both to explore condensed matter phenomena and as a powerful fabrication technique for forming advanced materials. In my thesis, I have focused on the study of colloidal patterns, which can be conveniently tracked in an optical microscope yet can also be thermally equilibrated on experimentally relevant time scales, allowing for ground states and transitions between them to be studied with optical tracking algorithms. In particular, I have focused on systems that spontaneously organize due to particle-surface and particle-particle interactions, paying close attention to systems that can be dynamically adjusted with an externally applied magnetic or acoustic field. In the early stages of my doctoral studies, I developed a magnetic field manipulation technique to quantify the adhesion force between particles and surfaces. This manipulation technique is based on the magnetic dipolar interactions between colloidal particles and their "image dipoles" that appear within planar substrate. Since the particles interact with their own images, this system enables massively parallel surface force measurements (>100 measurements) in a single experiment, and allows statistical properties of particle-surface adhesion energies to be extracted as a function of loading rate. With this approach, I was able to probe sub-picoNewton surface interactions between colloidal particles and several substrates at the lowest force loading rates ever achieved. In the later stages of my doctoral studies, I focused on studying patterns formed from particle-particle interaction, which serve as an experimental model of

  9. Fish Recognition Based on Robust Features Extraction from Size and Shape Measurements Using Neural Network

    Directory of Open Access Journals (Sweden)

    Mutasem K. Alsmadi

    2010-01-01

    Full Text Available Problem statement: Image recognition is a challenging problem researchers had been research into this area for so long especially in the recent years, due to distortion, noise, segmentation errors, overlap and occlusion of objects in digital images. In our study, there are many fields concern with pattern recognition, for example, fingerprint verification, face recognition, iris discrimination, chromosome shape discrimination, optical character recognition, texture discrimination and speech recognition, the subject of pattern recognition appears. A system for recognizing isolated pattern of interest may be as an approach for dealing with such application. Scientists and engineers with interests in image processing and pattern recognition have developed various approaches to deal with digital image recognition problems such as, neural network, contour matching and statistics. Approach: In this study, our aim was to recognize an isolated pattern of interest in the image based on the combination between robust features extraction. Where depend on size and shape measurements, that were extracted by measuring the distance and geometrical measurements. Results: We presented a system prototype for dealing with such problem. The system started by acquiring an image containing pattern of fish, then the image features extraction is performed relying on size and shape measurements. Our system has been applied on 20 different fish families, each family has a different number of fish types and our sample consists of distinct 350 of fish images. These images were divided into two datasets: 257 training images and 93 testing images. An overall accuracy was obtained using the neural network associated with the back-propagation algorithm was 86% on the test dataset used. Conclusion: We developed a classifier for fish images recognition. We efficiently have chosen a features extraction method to fit our demands. Our classifier successfully design and implement a

  10. Patterns in Permutations and Words

    CERN Document Server

    Kitaev, Sergey

    2011-01-01

    There has been considerable interest recently in the subject of patterns in permutations and words, a new branch of combinatorics with its roots in the works of Rotem, Rogers, and Knuth in the 1970s. Consideration of the patterns in question has been extremely interesting from the combinatorial point of view, and it has proved to be a useful language in a variety of seemingly unrelated problems, including the theory of Kazhdan--Lusztig polynomials, singularities of Schubert varieties, interval orders, Chebyshev polynomials, models in statistical mechanics, and various sorting algorithms, inclu

  11. Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data.

    Science.gov (United States)

    Luna, Jose Maria; Padillo, Francisco; Pechenizkiy, Mykola; Ventura, Sebastian

    2017-09-27

    Pattern mining is one of the most important tasks to extract meaningful and useful information from raw data. This task aims to extract item-sets that represent any type of homogeneity and regularity in data. Although many efficient algorithms have been developed in this regard, the growing interest in data has caused the performance of existing pattern mining techniques to be dropped. The goal of this paper is to propose new efficient pattern mining algorithms to work in big data. To this aim, a series of algorithms based on the MapReduce framework and the Hadoop open-source implementation have been proposed. The proposed algorithms can be divided into three main groups. First, two algorithms [Apriori MapReduce (AprioriMR) and iterative AprioriMR] with no pruning strategy are proposed, which extract any existing item-set in data. Second, two algorithms (space pruning AprioriMR and top AprioriMR) that prune the search space by means of the well-known anti-monotone property are proposed. Finally, a last algorithm (maximal AprioriMR) is also proposed for mining condensed representations of frequent patterns. To test the performance of the proposed algorithms, a varied collection of big data datasets have been considered, comprising up to 3 · 10#x00B9;⁸ transactions and more than 5 million of distinct single-items. The experimental stage includes comparisons against highly efficient and well-known pattern mining algorithms. Results reveal the interest of applying MapReduce versions when complex problems are considered, and also the unsuitability of this paradigm when dealing with small data.

  12. 使用方向滤波技术的手指静脉纹路提取方法%Finger vein pattern extraction method using oriented filtering technology

    Institute of Scientific and Technical Information of China (English)

    王科俊; 马慧; 李雪峰; 管凤旭; 刘靖宇

    2011-01-01

    To extract finger vein features effectively and efficiently, a novel algorithm based on oriented filter for finger vein extraction is proposed. According to the characteristics of finger vein, the proposed algorithm generates a directional image of the finger vein image and a group of oriented filters, with which to filter the image depending on the orientation of the local ridge. Finally, finger vein feature is extracted from the enhanced image. Our method extends traditional image segmentation methods, by extracting vein object from the oriented filter enhanced image. Experimental results show that, apart from smoothness and continuity or removal of noise and pseudo-vein characteristics, the method proposed in this paper extracts vein features effectively not only from the high-quality images but also from the low-quality vein images.%为了准确高效地提取手指静脉纹路,提出一种新的基于方向滤波的手指静脉纹路提取方法.该方法结合静脉纹路特点设计手指静脉图像的方向图及方向滤波器,根据所得的方向图及方向滤波器对图像进行滤波增强,对增强后的图像提取手指静脉模式.与传统的二值化方法相比,在进行二值化操作前,先对图像进行方向滤波处理,使得该方法提取出的手指静脉纹路连通性与光滑性好、噪声与伪特征少,且其不仅对高质量图像能够准确有效地提取出静脉纹路,对低质量图像处理效果也比较理想.

  13. Pattern Formation

    Science.gov (United States)

    Hoyle, Rebecca

    2006-03-01

    From the stripes of a zebra and the spots on a leopard's back to the ripples on a sandy beach or desert dune, regular patterns arise everywhere in nature. The appearance and evolution of these phenomena has been a focus of recent research activity across several disciplines. This book provides an introduction to the range of mathematical theory and methods used to analyse and explain these often intricate and beautiful patterns. Bringing together several different approaches, from group theoretic methods to envelope equations and theory of patterns in large-aspect ratio-systems, the book also provides insight behind the selection of one pattern over another. Suitable as an upper-undergraduate textbook for mathematics students or as a fascinating, engaging, and fully illustrated resource for readers in physics and biology, Rebecca Hoyle's book, using a non-partisan approach, unifies a range of techniques used by active researchers in this growing field. Accessible description of the mathematical theory behind fascinating pattern formation in areas such as biology, physics and materials science Collects recent research for the first time in an upper level textbook Features a number of exercises - with solutions online - and worked examples

  14. Osmoregulation in Methanogens (and Other Interesting Organisms)

    Energy Technology Data Exchange (ETDEWEB)

    Roberts, Mary Fedarko [Boston College, Chestnut Hill, MA (United States)

    2014-12-03

    Our research has been aimed at (i) identifying, (ii) determining mode of regulation, and (iii) understanding how different classes of compatible solutes (also termed osmolytes) affect macromolecular stability in response to osmotic and thermal stress. For solutes we have identified (e.g., di-inositol-1,1’-phosphate (DIP)), we used NMR to elucidate biosynthetic pathways and then cloned suspected enzymes in the pathway to explore how they are regulated. Compatible solutes are thought to protect proteins from thermal and osmotic stresses by being excluded from the surface, allowing critical water molecules to interact with the protein. This implies there are no specific binding interactions between osmolytes and proteins. However, we and others have often observed very specific solute effects for proteins that suggest a more direct interaction between solute and protein is likely can occur. Measuring such a weak interaction is extremely difficult. We have developed a solution NMR method, high-resolution field cycling relaxometry, that can measure spin-lattice relaxation rates as a function of magnetic field from 11.7 (the field of a 500 MHz spectrometer) to 0.003 T. The methodology is ideal for nuclei in small molecules with moderately long relaxation times at high fields – phosphate groups (31P), enriched carbonyls (13C), or methyl groups (1H). The protein of interest is spin-labeled to introduce a large dipole on it that will dominate the relaxation of nuclei on any small molecules that bind transiently. The key is to measure relaxation below 1-2 T (and extract nuclei-spin label distances in the bound complex) where the small molecule relaxation will be dominated by dipolar mechanisms with a correlation time indicative of the large protein complex. Our explorations of an inositol monophosphatase (the last step in DIP generation) localized four discrete binding sides for the thermoprotectant α-glutamate. This is a novel approach, and while the work did not fully

  15. USING DEPOSIT INTEREST RATES IN SETTING LOAN INTEREST RATES: EVIDENCE FROM TURKEY

    OpenAIRE

    Önder Kaymaz; Özgür Kaymaz

    2011-01-01

    Bank credit margins are set by two dynamics: loan interest rates and deposit interest rates. The latter is the leading funding cost for the commercial banks. Sampling the period running from the last financial quarter of 2002 to the last financial quarter of 2009, we consider all the listed commercial banks operating in Turkey. We obtain strong evidence of one-way causality between loan interest rates and deposit interest rates. In setting their loan interest rates, banks use deposit interest...

  16. On-Line Recognition Of Cursive Korean Characters By Descriptions Of Basic Character Patterns And Their Connected Patterns

    Science.gov (United States)

    Lee, Heedong; Nakajima, Masayuki; Agui, Takeshi

    1988-10-01

    The present paper reports an on-line recognition method of cursive Korean characters. In the present method, we treat a Korean character pattern as a finite sequence of basic character patterns. After extracting candidate basic character patterns from an input character pattern, we determine basic character patterns making a Korean character from the candidates by connecting processing. We described basic character patterns and their connected patterns used in the present method according to their features. By extracting and connecting basic character patterns based on the descriptions, we improve description ability of patterns and processing speed. Precise description ability of patterns and extracting candidates can remove unstable writing movements and can separate strokes stably.

  17. From Sequential Pattern Mining to Structured Pattern Mining:A Pattern-Growth Approach

    Institute of Scientific and Technical Information of China (English)

    Jia-Wei Han; Jian Pei; Xi-Feng Yan

    2004-01-01

    Sequential pattern mining is an important data mining problem with broad applications. However,it is also a challenging problem since the mining may have to generate or examine a combinatorially explosive number of intermediate subsequences. Recent studies have developed two major classes of sequential pattern mining methods: (1) a candidate generation-and-test approach, represented by (i) GSP, a horizontal format-based sequential pattern mining method, and (ii) SPADE, a vertical format-based method; and (2) a pattern-growth method, represented by PrefixSpan and its further extensions, such as gSpan for mining structured patterns. In this study, we perform a systematic introduction and presentation of the pattern-growth methodology and study its principles and extensions. We first introduce two interesting pattern-growth algorithms, FreeSpan and PrefixSpan, for efficient sequential pattern mining. Then we introduce gSpan for mining structured patterns using the same methodology. Their relative performance in large databases is presented and analyzed. Several extensions of these methods are also discussed in the paper, including mining multi-level, multi-dimensional patterns and mining constraint-based patterns.

  18. From Sequential Pattern Mining to Structured Pattern Mining: A Pattern-Growth Approach

    Institute of Scientific and Technical Information of China (English)

    Jia-WeiHan; JianPei; Xi-FengYan

    2004-01-01

    Sequential pattern mining is an important data mining problem with broad applications. However, it is also a challenging problem since the mining may have to generate or examine a combinatorially explosive number of intermediate subsequences. Recent studies have developed two major classes of sequential pattern mining methods: (1) a candidate generation-and-test approach, represented by (i) GSP, a horizontal format-based sequential pattern mining method, and (ii) SPADE, a vertical format-based method; and (2) a pattern-growth method, represented by PrefixSpan and its further extensions, such as gSpan for mining structured patterns. In this study, we perform a systematic introduction and presentation of the pattern-growth methodology and study its principles and extensions. We first introduce two interesting pattern-growth algorithms, FreeSpan and PrefixSpan, for efficient sequential pattern mining. Then we introduce gSpan for mining structured patterns using the same methodology. Their relative performance in large databases is presented and analyzed. Several extensions of these methods are also discussed in the paper, including mining multi-level, multi-dimensional patterns and mining constraint-based patterns.

  19. Far- and mid-infrared spectroscopy of complex organic matter of astrochemical interest: coal, heavy petroleum fractions and asphaltenes

    Science.gov (United States)

    Cataldo, Franco; García-Hernández, D. A.; Manchado, Arturo

    2013-03-01

    The coexistence of a large variety of molecular species (i.e. aromatic, cycloaliphatic and aliphatic) in several astrophysical environments suggests that unidentified infrared emission (UIE) occurs from small solid particles containing a mix of aromatic and aliphatic structures (e.g. coal, petroleum, etc.), renewing the astronomical interest on this type of materials. A series of heavy petroleum fractions namely `distillate aromatic extract', `Residual Aromatic Extract', heavy aromatic fraction (BQ-1) and asphaltenes derived from BQ-1 were used together with anthracite coal and bitumen as model compounds in matching the band pattern of the emission features of proto-planetary nebulae (PPNe). All the model materials were examined in the mid-infrared (2.5-16.66 μm) and for the first time in the far-infrared (16.66-200 μm), and the infrared bands were compared with the UIE from PPNe. The best match of the PPNe band pattern is offered by the BQ-1 heavy aromatic oil fraction and by its asphaltenes fraction. Particularly interesting is the ability of BQ-1 to match the band pattern of the aromatic-aliphatic C-H stretching bands of certain PPNe, a result which is not achieved neither by the coal model nor by the other petroleum fractions considered here. This study shows that a new interesting molecular model of the emission features of PPNe is asphaltene molecules which are composed by an aromatic core containing three to four condensed aromatic rings surrounded by cycloaliphatic (naphtenic) and aliphatic alkyl chains. Instead, the weakness of the model involving a mixture of polycyclic aromatic hydrocarbons (PAHs) for modelling the aromatic infrared emission bands (AIBs) is shown. The laboratory spectra of these complex organic compounds represent a unique data set of high value for the astronomical community, e.g. they may be compared with the Herschel Space Observatory spectra (˜51-220 μm) of several astrophysical environments such as (proto-) planetary nebulae, H

  20. Situational interest in engineering design activities

    DEFF Research Database (Denmark)

    Dohn, Niels Bonderup

    2013-01-01

    The aim of the present mixed-method study was to investigate task-based situational interest of sixth grade students (n=46), between 12 and 14 years old, during an eight-week engineering design programme in a Science & Technology-class. Students’ interests were investigated by means of a descript......The aim of the present mixed-method study was to investigate task-based situational interest of sixth grade students (n=46), between 12 and 14 years old, during an eight-week engineering design programme in a Science & Technology-class. Students’ interests were investigated by means......-and-error experimentation, achieved functionality of invention, and collaboration. These sources differ in terms of stimuli factors, such as novelty, autonomy (choice), social involvement, self-generation of interest, and task goal orientation. The study shows that design tasks stimulated interest, but only to the extent...

  1. Macroeconomic control of interest rate in China

    Institute of Scientific and Technical Information of China (English)

    姜鸣; 叶元煦; 何绍元

    2002-01-01

    The macroeconomic control of interest rate is studied using the elastic theory and correlation analysisand the concrete influence of interest rate on the consumption, savings and investment in China are investiga-ted. It is pointed out that although the interest rate mechanisms in China has gone through several adjustmentsand reforms, the results are not yet fully up to expectations. The interest rate does not adjust the national eco-nomic structure, and direct the trend of funds, nor regulate the general social supply and demand and balancethe price and currency in circulation, to achieve a rational distribution of social resources. The interest rate pol-icy of Central Bank does not have much actual influence on the economic departments, and this influence wascontinuously weakened in recent years. Countermeasures are suggested for improving the macro control of inter-est rate.

  2. RMB Interest Rates Will Continue to Rise

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    Lehman Brothers say that the recent 0.27 percentage point rise in RMB interest rates is just for starters, and that China will continue to higher RMB interest rates, They forecast a rise up to 6 percent on a oneyear loan by the end of 2005. Liang Hong,chief economist at the Goldman Sachs investment bank, says that although the rise in RMB interest rates may be minimal,

  3. Investigating Situational Interest in Primary Science Lessons

    Science.gov (United States)

    Loukomies, Anni; Juuti, Kalle; Lavonen, Jari

    2015-12-01

    Pupils' interest has been one of the major concerns in science education research because it can be seen as a gateway to more personalised forms of interest and motivation. However, methods to investigate situational interest in science teaching and learning are not broadly examined. This study compares the pupils' observed situational interest and their expressed situational interest. One class of Finnish fourth-graders (N = 22, age 9-10 years) participated in a heat transfer lesson. The lesson encompassed an interactive demonstration with a thermal camera, teacher-led discussions and the conduct and presentation of a collaborative inquiry task. Pupils expressed their interest levels (scale: 1 = very boring, 5 = very interesting) by using an electronic response system called a 'clicker'. The measurement took place 15 times during the lesson, with 1 measurement being just a rehearsal. The lesson was video recorded, and visible aspects of interest at the measurement time points were analysed. Reported and observational data were compared. In most cases, the observations did not yield data compatible with the pupils' own evaluations, indicating that most pupils' expressed interest is not easily interpreted through observation of their facial expressions and behaviour. In general, the interest of the group as a whole seems to diminish during the lesson. We argue that in order to maintain and increase pupils' interest, their evaluations should be taken into account in lesson planning. Video-based research might also be further enriched and validated by employing the participants' own expressions. The clicker is a suitable means of collecting primary pupils' experiences concerning their interest levels.

  4. [Conflict of interests and scientific publications].

    Science.gov (United States)

    Matías-Guiu, J; García-Ramos, R

    2012-01-01

    The potential relationships of interest between authors, reviewers, editors and financial management of the journals can lead to a conflict of interest in their performances. It analyzes the potential conflicts of interest in the papers, with extreme examples, assessing the need for careful statement of the relations, especially economic. Potential conflicts of interest should be transparent and the knowledge and values should be an objective of the magazines. The declaration of relationships should be required in the communication of research, but their existence should not prejudge misconduct. Copyright © 2011 Sociedad Española de Neurología. Published by Elsevier Espana. All rights reserved.

  5. Regional gray matter correlates of vocational interests

    Directory of Open Access Journals (Sweden)

    Schroeder David H

    2012-05-01

    Full Text Available Abstract Background Previous studies have identified brain areas related to cognitive abilities and personality, respectively. In this exploratory study, we extend the application of modern neuroimaging techniques to another area of individual differences, vocational interests, and relate the results to an earlier study of cognitive abilities salient for vocations. Findings First, we examined the psychometric relationships between vocational interests and abilities in a large sample. The primary relationships between those domains were between Investigative (scientific interests and general intelligence and between Realistic (“blue-collar” interests and spatial ability. Then, using MRI and voxel-based morphometry, we investigated the relationships between regional gray matter volume and vocational interests. Specific clusters of gray matter were found to be correlated with Investigative and Realistic interests. Overlap analyses indicated some common brain areas between the correlates of Investigative interests and general intelligence and between the correlates of Realistic interests and spatial ability. Conclusions Two of six vocational-interest scales show substantial relationships with regional gray matter volume. The overlap between the brain correlates of these scales and cognitive-ability factors suggest there are relationships between individual differences in brain structure and vocations.

  6. 应用PAR指数评价非对称拔牙方式矫治后牙牙合关系的改善效果%Application of Peer Assessment Rating Index in the Evaluation of Occlusal Outcome in Orthodontic Therapy with Asymmetric Extraction Pattern

    Institute of Scientific and Technical Information of China (English)

    林晨

    2012-01-01

      Objective :To study treatment outcome with asymmetric extraction pattern in orthodontic therapy.Methods :21 asymmetric extraction cases (group 1) and 25 symmetric extraction cases(group 2) and 23 non-extraction cases(group 3) were selected.The PAR (peer assessment rating ) index of each of the pre- and post-treatment cast was assessed.The differences of pre- and post-treatment weighed PAR score,reduction in weighed PAR score,percentage reduction in weighed PAR score and the degree of improvement between the three groups were compared.Results :Differences of the reduction in weighed PAR score existed between 3 groups,group 1 and group 2 were higher than group 3.There were no“Worse and no different”cases among the three groups,55 cases were greatly improved and accounted for 79.71%.There were 14 cases(20.29%) in improved category.Conclusion :The treatment outcome with asymmetric extraction pattern can achieve satisfactory results.%  目的:评价非对称拔牙方式矫治后的牙牙合关系改善效果.方法:选择非对称拔牙方式矫治病例21例(G1组),对称拔牙矫治病例25例(G2组)及不拔牙矫治病例23例(G3组),对所有患者治疗前后的模型应用 PAR(Peer Assessment Rating)指数进行评价,对各组治疗前后的加权 PAR 总分值、加权 PAR 总分减少值和加权 PAR 分值减少率及改善程度进行统计学分析.结果:治疗后加权 PAR 总分减少值(G1组)及(G2组)大于(G3组)(P<0.05), G1组减少值最大;三组中均无变坏或无改变病例,极大改善55例,占79.71%,改善14例,占20.29%.结论:合理运用非对称拔牙方式矫治错牙合畸形,同样可取得明显的改善效果.

  7. Enabling active and healthy ageing decision support systems with the smart collection of TV usage patterns.

    Science.gov (United States)

    Billis, Antonis S; Batziakas, Asterios; Bratsas, Charalampos; Tsatali, Marianna S; Karagianni, Maria; Bamidis, Panagiotis D

    2016-03-01

    Smart monitoring of seniors behavioural patterns and more specifically activities of daily living have attracted immense research interest in recent years. Development of smart decision support systems to support the promotion of health smart homes has also emerged taking advantage of the plethora of smart, inexpensive and unobtrusive monitoring sensors, devices and software tools. To this end, a smart monitoring system has been used in order to extract meaningful information about television (TV) usage patterns and subsequently associate them with clinical findings of experts. The smart TV operating state remote monitoring system was installed in four elderly women homes and gathered data for more than 11 months. Results suggest that TV daily usage (time the TV is turned on) can predict mental health change. Conclusively, the authors suggest that collection of smart device usage patterns could strengthen the inference capabilities of existing health DSSs applied in uncontrolled settings such as real senior homes.

  8. Frequent Pattern Mining of Eye-Tracking Records Partitioned into Cognitive Chunks

    Directory of Open Access Journals (Sweden)

    Noriyuki Matsuda

    2014-01-01

    Full Text Available Assuming that scenes would be visually scanned by chunking information, we partitioned fixation sequences of web page viewers into chunks using isolate gaze point(s as the delimiter. Fixations were coded in terms of the segments in a 5×5 mesh imposed on the screen. The identified chunks were mostly short, consisting of one or two fixations. These were analyzed with respect to the within- and between-chunk distances in the overall records and the patterns (i.e., subsequences frequently shared among the records. Although the two types of distances were both dominated by zero- and one-block shifts, the primacy of the modal shifts was less prominent between chunks than within them. The lower primacy was compensated by the longer shifts. The patterns frequently extracted at three threshold levels were mostly simple, consisting of one or two chunks. The patterns revealed interesting properties as to segment differentiation and the directionality of the attentional shifts.

  9. Selective laser extraction of the Pt group metals

    Energy Technology Data Exchange (ETDEWEB)

    Fadeeva, S.; Krynetsky, B.; Prokhorov, A.; Zhidkov, A. [General Physics Institute, Russian Academy of Science, Moscow (Russian Federation)

    1995-11-15

    The interest to the platinum-group metals extraction from solutions, especially industry waste, is stimulated by their extraordinary chemical inert. The traditional chemical methods of the extraction are uneffective. Have been investigated process of the extraction of metal Pt-group from acid solutions. Discussed processes reduction of noble metals by resonance laser action.

  10. Interest in Science: A RIASEC-Based Analysis of Students' Interests

    Science.gov (United States)

    Dierks, Pay O.; Höffler, Tim N.; Blankenburg, Janet S.; Peters, Heide; Parchmann, Ilka

    2016-01-01

    Considering the reported lack of interest in the STEM-domain and the consequential difficulties in recruiting talented and interested young academics, the development of effective enrichment measures is indispensable. This requires a precise picture of students' interests. The paper presents an approach to characterize interest profiles in…

  11. Motivational Influences on School-Prompted Interest

    Science.gov (United States)

    Ciani, Keith; Ferguson, Yuna; Bergin, David; Hilpert, Jonathan

    2010-01-01

    Some argue that the goal of education is to influence out-of-school learning activity, yet little research exists on how teachers can help students develop an interest in a topic and continue to pursue that interest outside of school. The current study tested classroom context variables from self-determination theory (teachers' autonomy support)…

  12. Central Life Interests and Job Satisfaction.

    Science.gov (United States)

    Dubin, Robert; And Others

    Data on central life interests (CLI) and five aspects of job satisfaction were obtained in a sample of bluecollar males and two samples of clerical females. Both a multiple discriminant analysis and a bivariate analysis were performed. The results of these analyses showed that central life interest was significantly related to the total set of job…

  13. The Structure of Vocational Interests in Romania

    Science.gov (United States)

    Iliescu, Dragos; Ispas, Dan; Ilie, Alexandra; Ion, Andrei

    2013-01-01

    Using data provided by the Self-Directed Search (SDS) on a sample of 1,519 participants comprising 3 subsamples containing high school students, university students, and working adults, the authors examine the structure of vocational interests in Romania. Three competing structural models of vocational interests (Holland's circumplex model and…

  14. Rising interest rates, bank loans, and deposits

    OpenAIRE

    Hesna Genay; Darrin Halcomb

    2004-01-01

    The authors show how the relationships between interest rate changes, deposit growth rates, and loan growth rates have changed in the last ten years, discuss some possible reasons, and assess the likely impact of rising interest rates on loans and deposits going forward.

  15. Inflation targeting and interest rate policy

    NARCIS (Netherlands)

    Verhagen, W.H.

    2001-01-01

    The thesis contains a collection of papers on issues in inflation targeting and its implications for the way interest rates are set. In this respect, the first part deals with two largely positive issues: the effect of inflation forecast targeting on the term structure of interest rates and the impl

  16. Central Life Interests and Job Satisfaction.

    Science.gov (United States)

    Dubin, Robert; And Others

    Data on central life interests (CLI) and five aspects of job satisfaction were obtained in a sample of bluecollar males and two samples of clerical females. Both a multiple discriminant analysis and a bivariate analysis were performed. The results of these analyses showed that central life interest was significantly related to the total set of job…

  17. Quantifying the Gender Gap in Science Interests

    Science.gov (United States)

    Baram-Tsabari, Ayelet; Yarden, Anat

    2011-01-01

    Nearly 5,000 self-generated science-related K-12 students' questions, classified into seven science subjects, were used to quantitatively measure the gender gap in science interests and its change with age. In this data set, a difference between boys' and girls' science interests did not exist during early childhood, but increased over 20-fold by…

  18. School Discipline, Educational Interest and Pupil Wisdom

    Science.gov (United States)

    MacAllister, James

    2013-01-01

    In this article, the concept of school discipline will be explored in relation to that of educational interest. Initially, Clark's account of two different kinds of school order (discipline and control) will be explained. The interest-based theory of school discipline advanced by Pat Wilson will thereafter be analysed. It will be argued that both…

  19. Inflation targeting and interest rate policy

    NARCIS (Netherlands)

    Verhagen, W.H.

    2001-01-01

    The thesis contains a collection of papers on issues in inflation targeting and its implications for the way interest rates are set. In this respect, the first part deals with two largely positive issues: the effect of inflation forecast targeting on the term structure of interest rates and the

  20. Reading Interests of High School Students.

    Science.gov (United States)

    Diaz-Rubin, C.

    1996-01-01

    Investigates the reading genre preferences of 254 male and female high school students in Pennsylvania. Draws comparisons with similar research done 10 years earlier. Finds a substantial change in reading interests. Notes the top 10 areas of interest are adventure, horror, mysteries, humor, murder, love, fantasy, crime, sports, and movies. (RS)

  1. 26 CFR 1.861-2 - Interest.

    Science.gov (United States)

    2010-04-01

    ... such nonresident alien individual or foreign corporation. If such interest is effectively connected for... nonresident alien individual or foreign corporation this paragraph (a) applies whether or not the interest is effectively connected for the taxable year with the conduct of a trade or business in the United States...

  2. What Makes a Mathematical Task Interesting?

    Science.gov (United States)

    Nyman, Rimma

    2016-01-01

    The study addresses the question of what makes a mathematical task interesting to the 9th year students. Semi-structured interviews were carried out with 15 students of purposive selection of the 9th year. The students were asked to recall a task they found interesting and engaging during the past three years. An analysis of the tasks was made…

  3. 7 CFR 1767.23 - Interest charges.

    Science.gov (United States)

    2010-01-01

    ... Companies 431Other Interest Expense 432Allowance for Borrowed Funds Used During Construction—Credit Interest... amortization of unamortized debt discount and expense on outstanding long-term debt. Amounts charged to this... Reacquired Debt A. This account shall include the amortization of the losses on reacquisition of...

  4. Public Schools and the Public Interest.

    Science.gov (United States)

    Hess, Frederick M.

    2003-01-01

    Essay addresses three questions: What purposes should schools serve and who should determine those purposes? Who should set performance goals for schools? Does school choice comport schooling mission to serve the public interest? Argues for need to be more disciplined and explicit in determining the public interest that schools serve and how that…

  5. Higher Education and the Public Interest.

    Science.gov (United States)

    Farquhar, Robin H.

    This paper explores the question of whether society needs a more engaged university. "Engaged," in this context, means committed to serve the public interest, to promote the general welfare. The argument is constructed around three main points: (1) the 20th century university has traditionally sought to serve the public interest; (2) in recent…

  6. Interest organization demography research in Europe

    NARCIS (Netherlands)

    Berkhout, J.; Lowery, D.; Halpin, D.; Gray, V.

    2015-01-01

    European population ecological studies of interest organizations are rare. The concern about the Schattschneiderian upper-class accent motivating such studies in the United States never gained much traction in European ‘organized’ interest systems. There have been, however, several large-n studies t

  7. Reading Interests of High School Students.

    Science.gov (United States)

    Diaz-Rubin, C.

    1996-01-01

    Investigates the reading genre preferences of 254 male and female high school students in Pennsylvania. Draws comparisons with similar research done 10 years earlier. Finds a substantial change in reading interests. Notes the top 10 areas of interest are adventure, horror, mysteries, humor, murder, love, fantasy, crime, sports, and movies. (RS)

  8. 76 FR 59767 - Interest Rates; Notice

    Science.gov (United States)

    2011-09-27

    ... From the Federal Register Online via the Government Publishing Office SMALL BUSINESS ADMINISTRATION Interest Rates; Notice AGENCY: Small Business Administration. The Small Business Administration publishes an interest rate called the optional ``peg'' rate (13 CFR 120.214) on a quarterly basis. This...

  9. 48 CFR 2832.407 - Interest.

    Science.gov (United States)

    2010-10-01

    ... 48 Federal Acquisition Regulations System 6 2010-10-01 2010-10-01 true Interest. 2832.407 Section 2832.407 Federal Acquisition Regulations System DEPARTMENT OF JUSTICE General Contracting Requirements CONTRACT FINANCING Advance Payments for Non-Commercial Items 2832.407 Interest. In cases where...

  10. Interest organizations across economic sectors: explaining interest group density in the European Union

    OpenAIRE

    Berkhout, J.; Carroll, B. J.; Braun, C.; Chalmers, A.W.; Destrooper, T.; Lowery, D.; Otjes, S.; Rasmussen, A.

    2015-01-01

    The number of interest organizations (density) varies across policy domains, political issues and economic sectors. This shapes the nature and outcomes of interest representation. In this contribution, we explain the density of interest organizations per economic sector in the European Union on the basis of political and economic institutional factors. Focusing on business interest representation, we show that economic institutions structure the ‘supply’ of interest organizations by affecting...

  11. Interest rates close to zero, post-crisis restructuring and natural interest rate

    OpenAIRE

    2011-01-01

    Central banks seem not to account for the influence of interest rates close to zero on the natural interest rate after the bursting of the asset bubble which triggered financial crisis. We claim that this omission may have deleterious consequences. Should interest rates close to zero persistently decrease natural interest rates, that would mean fall in TFP growth and more limited central bank’s capacity to influence aggregate demand and price dynamics. We explain that interest rates close ...

  12. Situational interest in engineering design activities

    DEFF Research Database (Denmark)

    Dohn, Niels Bonderup

    2013-01-01

    of a descriptive interpretative analysis of qualitative data from classroom observations and informal interviews. The analysis was complemented by a self-report survey to validate findings and determine prevalence. The analysis revealed four main sources of interest: designing inventions, trial......The aim of the present mixed-method study was to investigate task-based situational interest of sixth grade students (n=46), between 12 and 14 years old, during an eight-week engineering design programme in a Science & Technology-class. Students’ interests were investigated by means......-and-error experimentation, achieved functionality of invention, and collaboration. These sources differ in terms of stimuli factors, such as novelty, autonomy (choice), social involvement, self-generation of interest, and task goal orientation. The study shows that design tasks stimulated interest, but only to the extent...

  13. Situational Interest in Engineering Design Activities

    Science.gov (United States)

    Bonderup Dohn, Niels

    2013-08-01

    The aim of the present mixed-method study was to investigate task-based situational interest of sixth grade students (n = 46), between 12 and 14 years old, during an eight-week engineering design programme in a Science & Technology-class. Students' interests were investigated by means of a descriptive interpretative analysis of qualitative data from classroom observations and informal interviews. The analysis was complemented by a self-report survey to validate findings and determine prevalence. The analysis revealed four main sources of interest: designing inventions, trial-and-error experimentation, achieved functionality of invention, and collaboration. These sources differ in terms of stimuli factors, such as novelty, autonomy (choice), social involvement, self-generation of interest, and task goal orientation. The study shows that design tasks stimulated interest, but only to the extent that students were able to self-regulate their learning strategies.

  14. Solution Patterns Predicting Pythagorean Triples

    Science.gov (United States)

    Ezenweani, Ugwunna Louis

    2013-01-01

    Pythagoras Theorem is an old mathematical treatise that has traversed the school curricula from secondary to tertiary levels. The patterns it produced are quite interesting that many researchers have tried to generate a kind of predictive approach to identifying triples. Two attempts, namely Diophantine equation and Brahmagupta trapezium presented…

  15. Proof patterns

    CERN Document Server

    Joshi, Mark

    2015-01-01

    This innovative textbook introduces a new pattern-based approach to learning proof methods in the mathematical sciences. Readers will discover techniques that will enable them to learn new proofs across different areas of pure mathematics with ease. The patterns in proofs from diverse fields such as algebra, analysis, topology and number theory are explored. Specific topics examined include game theory, combinatorics, and Euclidean geometry, enabling a broad familiarity. The author, an experienced lecturer and researcher renowned for his innovative view and intuitive style, illuminates a wide range of techniques and examples from duplicating the cube to triangulating polygons to the infinitude of primes to the fundamental theorem of algebra. Intended as a companion for undergraduate students, this text is an essential addition to every aspiring mathematician’s toolkit.

  16. Extraction treatment using Invisalign Technique.

    Science.gov (United States)

    Giancotti, Aldo; Greco, Mario; Mampieri, Gianluca

    2006-01-01

    The Invisalign method is gaining an increasing interest as an alternative treatment option in adult patients and in difficult orthodontic cases. The aim of this work is to show a class II malocclusion with severe crowding in the upper and lower arches treated with the extraction of the upper first premolars performed by means of Invisalign. The alignment phase was successfully completed but the space closure achieved with crown tipping and without correct root inclination making a further fixed appliance phase necessary.

  17. Exploring Wikipedia and DMoz as Knowledge Bases for Engineering a User Interests Hierarchy for Social Network Applications

    Science.gov (United States)

    Haridas, Mandar; Caragea, Doina

    The outgrowth of social networks in the recent years has resulted in opportunities for interesting data mining problems, such as interest or friendship recommendations. A global ontology over the interests specified by the users of a social network is essential for accurate recommendations. We propose, evaluate and compare three approaches to engineering a hierarchical ontology over user interests. The proposed approaches make use of two popular knowledge bases, Wikipedia and Directory Mozilla, to extract interest definitions and/or relationships between interests. More precisely, the first approach uses Wikipedia to find interest definitions, the latent semantic analysis technique to measure the similarity between interests based on their definitions, and an agglomerative clustering algorithm to group similar interests into higher level concepts. The second approach uses the Wikipedia Category Graph to extract relationships between interests, while the third approach uses Directory Mozilla to extract relationships between interests. Our results show that the third approach, although the simplest, is the most effective for building a hierarchy over user interests.

  18. Pattern classification

    CERN Document Server

    Duda, Richard O; Stork, David G

    2001-01-01

    The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

  19. Finding geospatial pattern of unstructured data by clustering routes

    Science.gov (United States)

    Boustani, M.; Mattmann, C. A.; Ramirez, P.; Burke, W.

    2016-12-01

    Today the majority of data generated has a geospatial context to it. Either in attribute form as a latitude or longitude, or name of location or cross referenceable using other means such as an external gazetteer or location service. Our research is interested in exploiting geospatial location and context in unstructured data such as that found on the web in HTML pages, images, videos, documents, and other areas, and in structured information repositories found on intranets, in scientific environments, and otherwise. We are working together on the DARPA MEMEX project to exploit open source software tools such as the Lucene Geo Gazetteer, Apache Tika, Apache Lucene, and Apache OpenNLP, to automatically extract, and make meaning out of geospatial information. In particular, we are interested in unstructured descriptors e.g., a phone number, or a named entity, and the ability to automatically learn geospatial paths related to these descriptors. For example, a particular phone number may represent an entity that travels on a monthly basis, according to easily identifiable and somes more difficult to track patterns. We will present a set of automatic techniques to extract descriptors, and then to geospatially infer their paths across unstructured data.

  20. Topical interests and the mitigation of search engine bias.

    Science.gov (United States)

    Fortunato, S; Flammini, A; Menczer, F; Vespignani, A

    2006-08-22

    Search engines have become key media for our scientific, economic, and social activities by enabling people to access information on the web despite its size and complexity. On the down side, search engines bias the traffic of users according to their page ranking strategies, and it has been argued that they create a vicious cycle that amplifies the dominance of established and already popular sites. This bias could lead to a dangerous monopoly of information. We show that, contrary to intuition, empirical data do not support this conclusion; popular sites receive far less traffic than predicted. We discuss a model that accurately predicts traffic data patterns by taking into consideration the topical interests of users and their searching behavior in addition to the way search engines rank pages. The heterogeneity of user interests explains the observed mitigation of search engines' popularity bias.

  1. Website-Level Data Extraction

    Science.gov (United States)

    Li, Jianqiang; Zhao, Yu

    This paper proposes a website-level data extraction approach to identify the object relevant information distributed across multiple web pages. Page-level data extraction is widely studied with assumption that each input web page contains multiple data records of interested objects. However, in many cases for web mining, the multiple pages describing an object are sparsely distributed in a website. It makes page-level solutions no longer applicable. We exploit the hierarchy model of websites for web page organization to solve the problem of website-level data extraction. A new resource, the Hierarchical Navigation Path (HNP), which can be discovered from the website structure, is introduced for object relevant web page filtering. The found web pages are clustered using the URL and semantic hyperlink analysis, and then the entry page and the detailed profile pages of each object are identified. The empirical experiments show the effectiveness of the proposed approach.

  2. ISLAMIC ECONOMIC SYSTEM – ATTITUDE TOWARD INTEREST RATE

    Directory of Open Access Journals (Sweden)

    Teufik Čočić

    2012-12-01

    Full Text Available This study is focused on basic theological, theoretical and practical principles of the Islamic economic system. It points out the importance of the source (Qur’an and Sunnah on which the Islamic economic system is based; it extracts the strength of its moral and ethical values from these sources, thus creating a framework for just and fair participation and functioning of an individual in the Islamic social community. The study also points out the key properties and characteristics of the Islamic model of a man who, with his dualistic nature, participates in everyday economic life by making choices between good and evil, just and unjust, etc. The study provides analysis of justice and fairness which are constituent parts of the concept of total moral and social values that guide an individual in an effort to prevent this person from exceeding the boundaries of what is allowed according to Islam. This paper is also focused on trust, the most important element of social capital in Islam and Islamic economy, and the importance of Sharia law as the fundamental Islamic law based on the concept of justice, trust and reliability. One chapter of the study is specifically focused on the prohibition of interest. It provides a historical overview and emergence of Usury and interest rate. Throughout history there have been examples of prohibition of the interest rate in monotheistic and other religions and social communities. Special attention is given to prohibition of interest (Riba in Islam, and the reasons for the existence of the conventional interest rate are compared with attitudes that Islam has toward these elements.

  3. Interest in medical therapy for celiac disease

    Science.gov (United States)

    Tennyson, Christina A.; Simpson, Suzanne; Lebwohl, Benjamin; Lewis, Suzanne

    2013-01-01

    Objectives: A gluten-free diet is the treatment for celiac disease, but pharmaceutical agents are being developed. The level of interest amongst patients in using a medication to treat celiac disease is unknown. This study examined the level of interest amongst patients in medication to treat celiac disease. Methods: A questionnaire was distributed to celiac disease patients and data were collected on demographics, presentation, and interest in medication. Three validated celiac disease-specific instruments were incorporated: Celiac Disease Associated Quality of Life, the Celiac Symptom Index, and the Celiac Dietary Adherence Test. Results: Responses were received from 365 individuals with biopsy-proven celiac disease. Respondents were 78% (n = 276) female, 48% (n = 170) over 50 years of age, and experienced a classical (diarrhea predominant) presentation in 44% (n = 154). Of the 339 individuals answering the question regarding use of a medication to treat celiac disease, 66% were interested. Interest was greatest in older individuals (71% >50 years of age versus 60% celiac disease are interested in using a medication. Interest was highest among men, older individuals, frequent restaurant customers, individuals dissatisfied with their weight or concerned with the cost of a gluten-free diet, and those with a worse quality of life. PMID:24003336

  4. Tracking Multiple Topics for Finding Interesting Articles

    Energy Technology Data Exchange (ETDEWEB)

    Pon, R K; Cardenas, A F; Buttler, D J; Critchlow, T J

    2007-02-15

    We introduce multiple topic tracking (MTT) for iScore to better recommend news articles for users with multiple interests and to address changes in user interests over time. As an extension of the basic Rocchio algorithm, traditional topic detection and tracking, and single-pass clustering, MTT maintains multiple interest profiles to identify interesting articles for a specific user given user-feedback. Focusing on only interesting topics enables iScore to discard useless profiles to address changes in user interests and to achieve a balance between resource consumption and classification accuracy. Also by relating a topic's interestingness to an article's interestingness, iScore is able to achieve higher quality results than traditional methods such as the Rocchio algorithm. We identify several operating parameters that work well for MTT. Using the same parameters, we show that MTT alone yields high quality results for recommending interesting articles from several corpora. The inclusion of MTT improves iScore's performance by 9% to 14% in recommending news articles from the Yahoo! News RSS feeds and the TREC11 adaptive filter article collection. And through a small user study, we show that iScore can still perform well when only provided with little user feedback.

  5. Tracking Multiple Topics for Finding Interesting Articles

    Energy Technology Data Exchange (ETDEWEB)

    Pon, R K; Cardenas, A F; Buttler, D J; Critchlow, T J

    2008-01-03

    We introduce multiple topic tracking (MTT) for iScore to better recommend news articles for users with multiple interests and to address changes in user interests over time. As an extension of the basic Rocchio algorithm, traditional topic detection and tracking, and single-pass clustering, MTT maintains multiple interest profiles to identify interesting articles for a specific user given user-feedback. Focusing on only interesting topics enables iScore to discard useless profiles to address changes in user interests and to achieve a balance between resource consumption and classification accuracy. iScore is able to achieve higher quality results than traditional methods such as the Rocchio algorithm. We identify several operating parameters that work well for MTT. Using the same parameters, we show that MTT alone yields high quality results for recommending interesting articles from several corpora. The inclusion of MTT improves iScore's performance by 25% in recommending news articles from the Yahoo! News RSS feeds and the TREC11 adaptive filter article collection. And through a small user study, we show that iScore can still perform well when only provided with little user feedback.

  6. An interesting case of angiogenesis in cavernous hemangioma

    Directory of Open Access Journals (Sweden)

    Dipankar Das

    2016-01-01

    Full Text Available Cavernous hemangioma is the most common orbital tumor in adult. There is lot of literatures for clinicopathological features of this tumor. These tumors had been studied for the model of angiogenesis in many of the experimental setups. We present a case of 34-year-old male with this tumor in the left eye with computerized tomography evidence. Postsurgical laboratory findings gave interesting evidence of tumor angiogenesis with tumor endothelial cells and sprouting of the small vessels endothelial cells. Podosome rosette could be conceptualized from the characteristic patterns seen in the tumor.

  7. Ethical quandaries posing as conflicts of interest.

    Science.gov (United States)

    Kottow, Miguel

    2010-06-01

    Conflicts of interest are receiving increased attention in medical research, clinical practice and education. Criticism of, and penalties for, conflicts of interest have been insufficiently discussed and have been applied without adequate conceptual backing. Genuine conflicts of interest are situations in which alternative courses of action are ethically equivalent, decision-making being less a matter of moral deliberation than of personal weighing of interest. In contrast, situations usually thought of as conflicts of interest are mostly temptations to follow an attractive but undue option that causes harm by failing to uphold well-entrenched ethical standards. Examples of moral quandaries that pose as ethically neutral conflicts of interest are healthcare providers enticed to favour certain products; patients being referred to non-therapeutic trials entailing risks and non-optimal healthcare; industry-supported scientists failing to deliver unbiased research results and reports or participating in ghost-writing; and sponsored educators who praise their supporters beyond objective evidence. All these are moral blemishes, where integrity gives way to material incentives at the cost of provoking risky and harm-producing situations, thus constituting false conflicts of interest when they are in fact ethical misdemeanours. Disclosure has been the most widely recommended response to avoid the concealment of conflicting and ethically suspect interests. Regulations regarding disclosure reveal a utilitarian stance that shows more concern for the magnitude of support or sponsorship than for the underlying ethical transgression. Education and oversight should directly address and help correct the moral attitude towards undue influence of inducements and marketing strategies falsely posing as conflicts of interest.

  8. A Survey on Design Pattern Recovery Techniques

    OpenAIRE

    Ghulam Rasool; Detlef Streitfdert

    2011-01-01

    The evaluation of design pattern recovery techniques and tools is significant as numbers of emergent techniques are presented and used in the past to recover patterns from source code of legacy applications. The problem of very diverse precision and recall values extracted by different pattern recovery techniques and tools on the same examined applications is not investigated thoroughly. It is very desirable to compare features of existing techniques as abundance of techniques supplemented wi...

  9. What makes a pattern? Matching decoding methods to data in multivariate pattern analysis.

    Science.gov (United States)

    Kragel, Philip A; Carter, R McKell; Huettel, Scott A

    2012-01-01

    Research in neuroscience faces the challenge of integrating information across different spatial scales of brain function. A promising technique for harnessing information at a range of spatial scales is multivariate pattern analysis (MVPA) of functional magnetic resonance imaging (fMRI) data. While the prevalence of MVPA has increased dramatically in recent years, its typical implementations for classification of mental states utilize only a subset of the information encoded in local fMRI signals. We review published studies employing multivariate pattern classification since the technique's introduction, which reveal an extensive focus on the improved detection power that linear classifiers provide over traditional analysis techniques. We demonstrate using simulations and a searchlight approach, however, that non-linear classifiers are capable of extracting distinct information about interactions within a local region. We conclude that for spatially localized analyses, such as searchlight and region of interest, multiple classification approaches should be compared in order to match fMRI analyses to the properties of local circuits.

  10. Forecasting interest rates with shifting endpoints

    DEFF Research Database (Denmark)

    Van Dijk, Dick; Koopman, Siem Jan; Wel, Michel van der

    2014-01-01

    We consider forecasting the term structure of interest rates with the assumption that factors driving the yield curve are stationary around a slowly time-varying mean or ‘shifting endpoint’. The shifting endpoints are captured using either (i) time series methods (exponential smoothing) or (ii......) long-range survey forecasts of either interest rates or inflation and output growth, or (iii) exponentially smoothed realizations of these macro variables. Allowing for shifting endpoints in yield curve factors provides substantial and significant gains in out-of-sample predictive accuracy, relative...... to stationary and random walk benchmarks. Forecast improvements are largest for long-maturity interest rates and for long-horizon forecasts....

  11. Interest-based Recommendation in Digital Library

    Directory of Open Access Journals (Sweden)

    Yan Yang

    2005-01-01

    Full Text Available With the huge amount and large variety of information available in a digital library, it’s becoming harder and harder for users to identify and get hold of their interested documents. To alleviate the difficulty, personalized recommendation techniques have been developed. Current recommendation techniques rely on similarity between documents. In our work, recommendations are made based on three factors: similarity between documents, information amount, and information novelty. With the introduction of degree of interest, users’ interests can be better characterized. Theoretical analysis and experimental evaluations demonstrate that our techniques can improve both the recommendation recall and recommendation precision.

  12. Parallel motif extraction from very long sequences

    KAUST Repository

    Sahli, Majed

    2013-01-01

    Motifs are frequent patterns used to identify biological functionality in genomic sequences, periodicity in time series, or user trends in web logs. In contrast to a lot of existing work that focuses on collections of many short sequences, modern applications require mining of motifs in one very long sequence (i.e., in the order of several gigabytes). For this case, there exist statistical approaches that are fast but inaccurate; or combinatorial methods that are sound and complete. Unfortunately, existing combinatorial methods are serial and very slow. Consequently, they are limited to very short sequences (i.e., a few megabytes), small alphabets (typically 4 symbols for DNA sequences), and restricted types of motifs. This paper presents ACME, a combinatorial method for extracting motifs from a single very long sequence. ACME arranges the search space in contiguous blocks that take advantage of the cache hierarchy in modern architectures, and achieves almost an order of magnitude performance gain in serial execution. It also decomposes the search space in a smart way that allows scalability to thousands of processors with more than 90% speedup. ACME is the only method that: (i) scales to gigabyte-long sequences; (ii) handles large alphabets; (iii) supports interesting types of motifs with minimal additional cost; and (iv) is optimized for a variety of architectures such as multi-core systems, clusters in the cloud, and supercomputers. ACME reduces the extraction time for an exact-length query from 4 hours to 7 minutes on a typical workstation; handles 3 orders of magnitude longer sequences; and scales up to 16, 384 cores on a supercomputer. Copyright is held by the owner/author(s).

  13. Extracting Text from Video

    Directory of Open Access Journals (Sweden)

    Jayshree Ghorpade

    2011-09-01

    Full Text Available The text data present in images and video contain certain useful information for automatic annotation,indexing, and structuring of images. However variations of the text due to differences in text style, font, size, orientation, alignment as well as low image contrast and complex background make the problem of automatic text extraction extremely difficult and challenging job. A large number of techniques have been proposed to address this problem and the purpose of this paper is to design algorithms for each phase of extracting text from a video using java libraries and classes. Here first we frame the input video into stream of images using the Java Media Framework (JMF with the input being a real time or a video from the database. Then we apply pre processing algorithms to convert the image to gray scale and remove the disturbances like superimposed lines over the text, discontinuity removal, and dot removal.Then we continue with the algorithms for localization, segmentation and recognition for which we use the neural network pattern matching technique. The performance of our approach is demonstrated by presenting experimental results for a set of static images.

  14. EXTRACTING TEXT FROM VIDEO

    Directory of Open Access Journals (Sweden)

    Jayshree Ghorpade

    2011-06-01

    Full Text Available The text data present in images and video contain certain useful information for automatic annotation,indexing, and structuring of images. However variations of the text due to differences in text style, font, size, orientation, alignment as well as low image contrast and complex background make the problem of automatic text extraction extremely difficult and challenging job. A large number of techniques have been proposed to address this problem and the purpose of this paper is to design algorithms for each phase of extracting text from a video using java libraries and classes. Here first we frame the input video into stream of images using the Java Media Framework (JMF with the input being a real time or a video from the database. Then we apply pre processing algorithms to convert the image to gray scale and remove the disturbances like superimposed lines over the text, discontinuity removal, and dot removal.Then we continue with the algorithms for localization, segmentation and recognition for which we use the neural network pattern matching technique. The performance of our approach is demonstrated by presenting experimental results for a set of static images.

  15. China expreses interest in philippine hydro

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    MEMBERS OF A CHINESE trade mission which visited the Philippines in December 2000 have said they are prepared to invest up to US$ 19M in the Philippines' energy sector, and are particularly interested in hydro power projects.

  16. On recall rate of interest point detectors

    DEFF Research Database (Denmark)

    Aanæs, Henrik; Lindbjerg Dahl, Anders; Pedersen, Kim Steenstrup

    2010-01-01

    In this paper we provide a method for evaluating interest point detectors independently of image descriptors. This is possible because we have compiled a unique data set enabling us to determine if common interest points are found. The data contains 60 scenes of a wide range of object types......, and for each scene we have 119 precisely located camera positions obtained from a camera mounted on an industrial robot arm. The scene surfaces have been scanned using structured light, providing precise 3D ground truth. We have investigated a number of the most popular interest point detectors where we...... systematically have varied camera position, light and model parameters. The overall conclusion is that the Harris and Hessian corner detectors perform well followed by MSER, whereas the FAST corner detector, IBR and EBR performs poorly. Furthermore, only the number of interest points change with changing...

  17. On Recall Rate of Interest Point Detectors

    DEFF Research Database (Denmark)

    Aanæs, Henrik; Dahl, Anders Lindbjerg; Pedersen, Kim Steenstrup

    2010-01-01

    in relation to the number of interest points, the recall rate as a function of camera position and light variation, and the sensitivity relative to model parameter change. The overall conclusion is that the Harris corner detector has a very high recall rate, but is sensitive to change in scale. The Hessian......In this paper we provide a method for evaluating interest point detectors independently of image descriptors. This is possible because we have compiled a unique data set enabling us to determine if common interest points are found. The data contains 60 scenes of a wide range of object types......, and for each scene we have 119 precisely located camera positions obtained from a camera mounted on an industrial robot arm. The scene surfaces have been scanned using structured light, providing precise 3D ground truth. We have investigated a number of the most popular interest point detectors. This is done...

  18. AgSat Areas of Interest

    Data.gov (United States)

    Farm Service Agency, Department of Agriculture — The AgSat Areas of Interest map contains area polygons where satellite imagery will be collected for the Farm Service Agency (FSA) to provide imagery coverage for...

  19. Interest Rate Liberalization, Financial Development and Economic ...

    African Journals Online (AJOL)

    efforts at investigating the relationship between interest rate liberalisation and economic growth. ... information and imperfect competition mean that financial liberalisation can have a negative .... the Tobin's portfolio framework for household.

  20. Medicine, the media and political interests.

    Science.gov (United States)

    Lipworth, Wendy; Kerridge, Ian; Morrell, Bronwen; Bonfiglioli, Catriona; Forsyth, Rowena

    2012-12-01

    The news media is frequently criticised for failing to support the goals of government health campaigns. But is this necessarily the purpose of the media? We suggest that while the media has an important role in disseminating health messages, it is a mistake to assume that the media should serve the interests of government as it has its own professional ethics, norms, values, structures and roles that extend well beyond the interests of the health sector, and certainly beyond those of the government. While considerable attention has been given to the ways in which uncritical publication of industry perspectives by news media can negatively impact on public understandings of health and health behaviours, we would argue that it is equally important that journalists not become the 'lapdogs' of government interests. Further, we suggest that the interests of public health may be served more by supporting the ongoing existence of an independent media than by seeking to overdetermine its purpose or scope.

  1. Violence on television. Unpleasant, interesting or morbid?

    National Research Council Canada - National Science Library

    C Fernández Villanueva

    2013-01-01

    Introduction: Many research studies have contributed to the study of the effects of violence on TV, but very few of them have paid attention to the reasons why violence arouses interest or rejection among viewers...

  2. Why Old Testament prophecy is philosophically interesting

    African Journals Online (AJOL)

    because it introduces interesting questions about divine knowledge, time, and human ..... Barr, J., 1999, The concept of biblical theology: An Old Testament perspective, Fortress. Press ... The Cambridge history of later medieval philosophy, pp.

  3. Automated Beam Loss Monitoring System At Extraction From U-70

    CERN Document Server

    Afonin, A G; Baranov, V T; Gres, V N; Shaposhnikov, P A; Terekhov, V I; Uglekov, V Ya

    2004-01-01

    This paper presents a description of the new beam loss monitoring system built and comissioned to detect beam losses in the IHEP extraction area at 16 places of interest. It yields information about possible beam interception by extraction elements over each mode of extracting. Multiple measurements with resolution 10ms are possible to study the dynamic processes over the slow extraction. This system is a part of the U-70 Control System.

  4. Violence on television. Unpleasant, interesting or morbid?

    OpenAIRE

    C Fernández Villanueva

    2013-01-01

    Introduction: Many research studies have contributed to the study of the effects of violence on TV, but very few of them have paid attention to the reasons why violence arouses interest or rejection among viewers. The objective of this article is to analyse the discourses, arguments and moral criteria used by the audience to justify their interest or disinterest in TV violence. Methods: The study is based on 16 focus groups carried out in Madrid and segmented by sex, age and education level. ...

  5. Negative interest rates: why and how?

    OpenAIRE

    Kiselak, Jozef; Hermann, Philipp; Stehlik, Milan

    2016-01-01

    The interest rates (or nominal yields) can be negative, this is an unavoidable fact which has already been visible during the Great Depression (1929-39). Nowadays we can find negative rates easily by e.g. auditing. Several theoretical and practical ideas how to model and eventually overcome empirical negative rates can be suggested, however, they are far beyond a simple practical realization. In this paper we discuss the dynamical reasons why negative interest rates can happen in the second o...

  6. Financial intermediation and interest rate risk

    OpenAIRE

    Zagonov, Maxim

    2011-01-01

    This thesis analyses the link between interest rate risk faced by financial intermediaries in the G-10 countries, their balance sheet composition and national bank regulation. The regulatory authorities both in the US and in Europe increasingly emphasise the issue of bank interest rate exposure. The importance of this topic is also reasserted by recent developments in the monetary environment. The thesis offers three major contributions to the area. First, it empirically investigates the ...

  7. Does slower growth imply lower interest rates?

    OpenAIRE

    2014-01-01

    Over the past two years, both monetary and fiscal policy projections have been based on the view that declines in the long-run potential growth rate of the economy will in turn push down interest rates. In contrast, examination of private-sector professional forecasts and historical data provides little evidence of such a linkage. This suggests a greater risk that future interest rates may be higher than expected.

  8. Personality and specialty interest in medical students.

    Science.gov (United States)

    Hojat, Mohammadreza; Zuckerman, Marvin

    2008-01-01

    Research on the relationship between personality and specialty interest is important because of its implications in student career counseling and in forecasting future specialty distribution. This study was designed to test the following hypotheses: 1. Students interested in 'surgical' specialties would obtain higher scores on a measure of 'impulsive sensation seeking' and lower scores on a measure of 'neuroticism-anxiety'. 2. Students interested in 'hospital-based' specialties would score lower on a measure of 'sociability' whereas those interested in 'primary care' would score higher on this measure. In addition to these two hypotheses, gender differences on personality were also examined. Study participants were 1,076 students who matriculated at Jefferson Medical College between 2002 to 2006. A short version of the Zuckerman-Kuhlman personality questionnaire (ZKPQ) measuring five personality factors of 'impulsive sensation Seeking', 'neuroticism-anxiety', 'aggression-hostility', 'sociability', and 'activity' was completed by research participants at the beginning of medical school. Students were also asked to note their specialty interests. Multivariate statistical analyses confirmed the first and partially confirmed the second research hypotheses. Results also showed that men scored higher on 'impulsive sensation seeking,' and women outscored men in the 'neuroticism-Anxiety' and 'activity' scales. Findings suggest that information about the personalities of medical students can help to predict their career interests. Implications for career counseling are discussed.

  9. Apparatus for hydrocarbon extraction

    Science.gov (United States)

    Bohnert, George W.; Verhulst, Galen G.

    2013-03-19

    Systems and methods for hydrocarbon extraction from hydrocarbon-containing material. Such systems and methods relate to extracting hydrocarbon from hydrocarbon-containing material employing a non-aqueous extractant. Additionally, such systems and methods relate to recovering and reusing non-aqueous extractant employed for extracting hydrocarbon from hydrocarbon-containing material.

  10. Classification of interstitial lung disease patterns with topological texture features

    CERN Document Server

    Huber, Markus B; Leinsinger, Gerda; Ray, Lawrence A; Wismüller, Axel; 10.1117/12.844318

    2010-01-01

    Topological texture features were compared in their ability to classify morphological patterns known as 'honeycombing' that are considered indicative for the presence of fibrotic interstitial lung diseases in high-resolution computed tomography (HRCT) images. For 14 patients with known occurrence of honey-combing, a stack of 70 axial, lung kernel reconstructed images were acquired from HRCT chest exams. A set of 241 regions of interest of both healthy and pathological (89) lung tissue were identified by an experienced radiologist. Texture features were extracted using six properties calculated from gray-level co-occurrence matrices (GLCM), Minkowski Dimensions (MDs), and three Minkowski Functionals (MFs, e.g. MF.euler). A k-nearest-neighbor (k-NN) classifier and a Multilayer Radial Basis Functions Network (RBFN) were optimized in a 10-fold cross-validation for each texture vector, and the classification accuracy was calculated on independent test sets as a quantitative measure of automated tissue characteriza...

  11. Pattern Recognition of EEG Signals and Applications in Robotics

    Institute of Scientific and Technical Information of China (English)

    ZHANG Xiao-dong; CHENG Zhi-qiang; LI De-jun

    2006-01-01

    With the rapid development of brain computer interface (simply called BCI),electroencephalography (EEG) will be another interesting bio-electrical signal applied in robotics after EMG.In order to realize it finally,the accurate measurement and pattern recognition of EEG signal must be a very important and elementary research objective.Based on our current researches and some reports from the other international colleagues in the field,we deeply discuss the basic characteristics of EEG signal,the development and selection of EEG measurement system,feature extraction and recognition methods of EEG signal,and then review EEG's applications in robotics as well as the future research trends in this paper.

  12. Security interests under the UNIDROIT Convention on International Interests in Mobile Equipment 2001

    OpenAIRE

    Saidova, Sanam

    2012-01-01

    This work examines security interests under the Cape Town Convention on International Interests in Mobile Equipment. The main purpose of the Convention is to provide a uniform legal regime for the creation, registration and protection of a creditor’s interests held in high value types of mobile equipment, such as aircraft, railway and space objects. The Convention provides for the creation of an autonomous international interest in these types of equipment and establishes an electronic Intern...

  13. Dynamical electron backscatter diffraction patterns. Part I: pattern simulations.

    Science.gov (United States)

    Callahan, Patrick G; De Graef, Marc

    2013-10-01

    A new approach for the simulation of dynamic electron backscatter diffraction (EBSD) patterns is introduced. The computational approach merges deterministic dynamic electron-scattering computations based on Bloch waves with a stochastic Monte Carlo (MC) simulation of the energy, depth, and directional distributions of the backscattered electrons (BSEs). An efficient numerical scheme is introduced, based on a modified Lambert projection, for the computation of the scintillator electron count as a function of the position and orientation of the EBSD detector; the approach allows for the rapid computation of an individual EBSD pattern by bi-linear interpolation of a master EBSD pattern. The master pattern stores the BSE yield as a function of the electron exit direction and exit energy and is used along with weight factors extracted from the MC simulation to obtain energy-weighted simulated EBSD patterns. Example simulations for nickel yield realistic patterns and energy-dependent trends in pattern blurring versus filter window energies are in agreement with experimental energy-filtered EBSD observations reported in the literature.

  14. Making the news interesting : Understanding the relationship between familiarity and interest

    NARCIS (Netherlands)

    Sluis, F. van der; Glassey, R.J.; Broek, E.L. van den

    2012-01-01

    News feeds are an important element of information encountering, feeding our (new) interests but also leading to a state of information overload. Current solutions often select information similar to the user's interests. However, long-term interest in one topic, and being highly familiar with that

  15. Using Situational Interest to Enhance Individual Interest and Science-Related Behaviours

    Science.gov (United States)

    Palmer, David; Dixon, Jeanette; Archer, Jennifer

    2017-01-01

    Situational interest is a relatively transient reaction to highly stimulating factors in the immediate environment, whereas individual interest is a relatively long-term preference for a particular subject or activity. It has been proposed that regular experiences of situational interest in a subject may eventually lead to the development of…

  16. Interest organizations across economic sectors : explaining interest group density in the European Union

    NARCIS (Netherlands)

    Berkhout, Joost; Carroll, Brendan J.; Braun, Caelesta; Chalmers, Adam W.; Destrooper, Tine; Lowery, David; Otjes, Simon; Rasmussen, Anne

    2015-01-01

    The number of interest organizations (density) varies across policy domains, political issues and economic sectors. This shapes the nature and outcomes of interest representation. In this contribution, we explain the density of interest organizations per economic sector in the European Union on the

  17. Interest organizations across economic sectors: explaining interest group density in the European Union

    NARCIS (Netherlands)

    Berkhout, Joost; Carroll, Brendan; Braun, Caelesta; Chalmers, Adam; De Strooper, Tine; Lowery, David; Otjes, Simon; Rasmussen, Anne

    2015-01-01

    The number of interest organizations (density) varies across policy domains, political issues and economic sectors. This shapes the nature and outcomes of interest representation. In this contribution, we explain the density of interest organizations per economic sector in the European Union on the

  18. Web Information Extraction%Web信息抽取

    Institute of Scientific and Technical Information of China (English)

    李晶; 陈恩红

    2003-01-01

    With the tremendous amount of information available on the Web, the ability to quickly obtain information has become a crucial problem. It is not enough for us to acquire information only with Web information retrieval technology. Therefore more and more people pay attention to Web information extraction technology. This paper first in- troduces some concepts of information extraction technology, then introduces and analyzes several typical Web information extraction methods based on the differences in extraction patterns.

  19. An Useful Information Extraction using Image Mining Techniques from Remotely Sensed Image (RSI

    Directory of Open Access Journals (Sweden)

    Dr. C. Jothi Venkateswaran,

    2010-11-01

    Full Text Available Information extraction using mining techniques from remote sensing image (RSI is rapidly gaining attention among researchers and decision makers because of its potential in application oriented studies. Knowledge discovery from image poses many interesting challenges such as preprocessing the image data set, training the data and discovering useful image patterns applicable to many newapplication frontiers. In the image rich domain of RSI, image mining implies the synergy of data mining and image processing technology. Such culmination of techniques renders a valuable tool in information extraction. Also, this encompasses the problem of handling a larger data base of varied image data formats representing various levels ofinformation such as pixel, local and regional. In the present paper, various preprocessing corrections and techniques of image mining are discussed.

  20. Pattern Driven Stress Localization

    Science.gov (United States)

    Croll, Andrew; Crosby, Alfred

    2010-03-01

    The self-assembly of patterns from isotropic initial states is a major driver of modern soft-matter research. This avenue of study is directed by the desire to understand the complex physics of the varied structures found in Nature, and by technological interest in functional materials that may be derived through biomimicry. In this work we show how a simple striped phase can respond with significant complexity to an appropriately chosen perturbation. In particular, we show how a buckled elastic plate transitions into a state of stress localization using a simple, self-assembled variation in surface topography. The collection of topographic boundaries act in concert to change the state from isotropic sinusoidal wrinkles, to sharp folds or creases separated by relatively flat regions. By varying the size of the imposed topographic pattern or the wavelength of the wrinkles, we construct a state diagram of the system. The localized state has implications for both biological systems, and for the control of non-linear pattern formation.

  1. ANTIOXIDANT ACTIVITY, TOTAL PHENOLIC AND FLAVONOID CONTENT OF MORINDA CITRIFOLIA FRUIT EXTRACTS FROM VARIOUS EXTRACTION PROCESSES

    Directory of Open Access Journals (Sweden)

    PRAVEEN K. RAMAMOORTHY

    2007-04-01

    Full Text Available Soxhlet, Ultrasonic extract of Morinda citrifolia L. fruit and four extracts from high pressure extraction at 10 MPa using ethanol, ethyl acetate as solvent and dried by vacuum oven and spray dryer were analyzed for their antioxidant activity by peroxide value method and diphenylpicrylhydrazyl radical scavenging method. The five extracts along with the reference samples, butylated hydroxyl toluene and tannic acid were further analyzed to determine their total phenolic content by Folin-Ciocalteau method and total flavonoid content by Dowd method. The M. citrifolia extract by high pressure extraction with ethyl acetate as solvent and spray dried was found to exhibit highest antioxidant activity and total flavonoid content. High total phenolic content was determined in the high pressure extract using ethyl acetate as solvent and vacuum dried. It was interesting to note that ultrasonic extract exhibited significant antioxidant activity, total phenolic and flavonoid content. High pressure extracted M. citrifolia in ethanol was found to express lesser values comparatively. The significant difference in activity among the high pressure extracts was found to be due to the polarity of the solvents used for extraction as M. citrifolia fruit contains relatively larger quantity of non-polar antioxidant compounds. It was also found that the drying methods had significant impact on the antioxidant activity, total phenolic and flavonoid content of the extracts.

  2. Interests and attitudes of engineering students

    Science.gov (United States)

    Rutherford, Brian

    2007-12-01

    Engineering programs have been less successful than other professions in achieving gender equity. Analyses of gender differences in the attitudes and interests of engineering students may help illuminate ways to combat the underrepresentation of women in engineering. This study examined data collected from 863 engineering students who attended 15 American universities from fall 2005 through spring 2006 using an online survey. The survey was designed to understand the backgrounds, academic preparation, motivation, interests, and attitudes of engineering students. To determine whether males and females received different academic preparation prior to entering engineering, the survey examined participants' mathematics, science, and technical coursework taken in high school. The questions probed students' comfort and interest level in mathematics, science, and technology/engineering and investigated student interest in the three fundamental engineering activities by asking 49 design, build, and analyze questions on topics covering a variety of engineering disciplines. A combination of question formats was used including pre-categorized demographic information, 5-point Likert scales, and open-ended responses. Gender similarities and differences were identified and their implications were considered for the recruitment and retention of engineers. Female engineering students in this study were equally or better prepared than males to major in engineering based on the number and types of science and mathematics classes taken in high school. However, statistically significant gender differences were found in the attitudes and interests of engineering students. The difference in the comfort level, interest in learning, being able to demonstrate, or in performing stem skills depended on the question topic rather than gender. The areas with the highest comfort and interest level were often different for females and males. Several topics and curriculum areas of high interest to

  3. Violence on television. Unpleasant, interesting or morbid?

    Directory of Open Access Journals (Sweden)

    C Fernández Villanueva

    2013-10-01

    Full Text Available Introduction: Many research studies have contributed to the study of the effects of violence on TV, but very few of them have paid attention to the reasons why violence arouses interest or rejection among viewers. The objective of this article is to analyse the discourses, arguments and moral criteria used by the audience to justify their interest or disinterest in TV violence. Methods: The study is based on 16 focus groups carried out in Madrid and segmented by sex, age and education level. Results: The study indicates that audience’s attitudes towards representations of violence on TV range from rejection to morbid interest, including intolerance, lack of interest and self-protection. These attitudes vary depending on whether the representations of violence are real or fictional. Conclusions: The results contradict the popular idea that TV audiences are generally attracted to the TV representations of violence and indicate that this “emotional interest” in violence is actually accompanied by an interest in learning about this phenomenon and developing ethical reflections.

  4. Generation Y Online Buying Patterns

    OpenAIRE

    Katija Vojvodić; Matea Matić

    2015-01-01

    The advantages of electronic retailing can, among other things, result in uncontrolled buying by online consumers, i.e. in extreme buying behavior. The main purpose of this paper is to analyze and determine the buying patterns of Generation Y online consumers in order to explore the existence of different types of behavior based on the characteristics of online buying. The paper also aims at exploring the relationship between extracted factors and Generation Y consumers’ buying intentions. Em...

  5. Generation Y Online Buying Patterns

    OpenAIRE

    Katija Vojvodić; Matea Matić

    2015-01-01

    The advantages of electronic retailing can, among other things, result in uncontrolled buying by online consumers, i.e. in extreme buying behavior. The main purpose of this paper is to analyze and determine the buying patterns of Generation Y online consumers in order to explore the existence of different types of behavior based on the characteristics of online buying. The paper also aims at exploring the relationship between extracted factors and Generation Y consumers’ buying intentions. Em...

  6. Generation Y Online Buying Patterns

    Directory of Open Access Journals (Sweden)

    Katija Vojvodić

    2015-12-01

    Full Text Available The advantages of electronic retailing can, among other things, result in uncontrolled buying by online consumers, i.e. in extreme buying behavior. The main purpose of this paper is to analyze and determine the buying patterns of Generation Y online consumers in order to explore the existence of different types of behavior based on the characteristics of online buying. The paper also aims at exploring the relationship between extracted factors and Generation Y consumers’ buying intentions. Empirical research was conducted on a sample of 515 consumers in the Dubrovnik-Neretva County. Based on the factor analysis, research results indicate that Generation Y online consumers are influenced by three factors: compulsivity, impulsivity, and functionality. The analysis of variance reveals that significant differences exist between the extracted factors and Generation Y’s online buying characteristics. In addition, correlation analysis shows a statistically significant correlation between the extracted factors and Generation Y’s buying intentions.

  7. Reticular pattern detection in dermoscopy: an approach using Curvelet Transform

    Directory of Open Access Journals (Sweden)

    Marlene Machado

    Full Text Available Abstract Introduction Dermoscopy is a non-invasive in vivo imaging technique, used in dermatology in feature identification, among pigmented melanocytic neoplasms, from suspicious skin lesions. Often, in the skin exam is possible to ascertain markers, whose identification and proper characterization is difficult, even when it is used a magnifying lens and a source of light. Dermoscopic images are thus a challenging source of a wide range of digital features, frequently with clinical correlation. Among these markers, one of particular interest to diagnosis in skin evaluation is the reticular pattern. Methods This paper presents a novel approach (avoiding pre-processing, e.g. segmentation and filtering for reticular pattern detection in dermoscopic images, using texture spectral analysis. The proposed methodology involves a Curvelet Transform procedure to identify features. Results Feature extraction is applied to identify a set of discriminant characteristics in the reticular pattern, and it is also employed in the automatic classification task. The results obtained are encouraging, presenting Sensitivity and Specificity of 82.35% and 76.79%, respectively. Conclusions These results highlight the use of automatic classification, in the context of artificial intelligence, within a computer-aided diagnosis strategy, as a strong tool to help the human decision making task in clinical practice. Moreover, the results were obtained using images from three different sources, without previous lesion segmentation, achieving to a rapid, robust and low complexity methodology. These properties boost the presented approach to be easily used in clinical practice as an aid to the diagnostic process.

  8. Measuring interesting rules in Characteristic rule

    CERN Document Server

    Warnars, Spits

    2010-01-01

    Finding interesting rule in the sixth strategy step about threshold control on generalized relations in attribute oriented induction, there is possibility to select candidate attribute for further generalization and merging of identical tuples until the number of tuples is no greater than the threshold value, as implemented in basic attribute oriented induction algorithm. At this strategy step there is possibility the number of tuples in final generalization result still greater than threshold value. In order to get the final generalization result which only small number of tuples and can be easy to transfer into simple logical formula, the seventh strategy step about rule transformation is evolved where there will be simplification by unioning or grouping the identical attribute. Our approach to measure interesting rule is opposite with heuristic measurement approach by Fudger and Hamilton where the more complex concept hierarchies, more interesting results are likely to be found, but our approach the simple...

  9. Tongue Image Feature Extraction in TCM

    Institute of Scientific and Technical Information of China (English)

    LI Dong; DU Lian-xiang; LU Fu-ping; DU Jun-ping

    2004-01-01

    In this paper, digital image processing and computer vision techniques are applied to study tongue images for feature extraction with VC++ and Matlab. Extraction and analysis of the tongue surface features are based on shape, color, edge, and texture. The developed software has various functions and good user interface and is easy to use. Feature data for tongue image pattern recognition is provided, which form a sound basis for the future tongue image recognition.

  10. Two Maps and Worldwide Ipod Interest

    Science.gov (United States)

    Machete, Reason L.

    2011-11-01

    There is often a desire to determine if the dynamics of interest are chaotic or not. Since positive Lyapunov exponents are a signature for chaos, they are often used to determine this. Reliable estimates of Lyapunov exponents should demonstrate evidence of convergence; but literature abounds in which this evidence lacks. This paper presents two maps through which it highlights the importance of providing evidence of convergence of Lyapunov exponent estimates. Worldwide ipod interest is then used as a practical example and the results bear semblance to both maps.

  11. Study on Public Interest in City Planning

    Institute of Scientific and Technical Information of China (English)

    付樯; 周立军

    2014-01-01

    Public interest is the key point of city planning, which has a significant effect on the level of city planning. This paper discussed the public interest in city planning, which is advantageous to improve the level of city planning.%公共利益是城市规划的关键点,对城市规划水平有重要作用。本文探讨了城市规划中的公共利益,有利于城市规划水平的提高。

  12. Incumbents’ interests, voters’ bias and gender quotas

    OpenAIRE

    2006-01-01

    The adoption of gender quotas inpart y lists has beena voluntary decision by many parties in many countries, and is now a subject of discussioninman y others. The Parity Low passed inF rance in 2001 is particularly interesting because for the first time the quota was set at 50 percent, and the deputies passing the reform are elected in single member districts. In this paper we rationalize parity onthe basis of the self interest of male incumbent deputies: The existence of a voters' bias in fa...

  13. Supercritical Fluid Chromatography, Pressurized Liquid Extraction and Supercritical Fluid Extraction

    Energy Technology Data Exchange (ETDEWEB)

    Henry, Matthew C.; Yonker, Clement R.

    2006-06-15

    In this review we examine the related fields of supercritical fluid chromatography (SFC) and supercritical fluid extraction (SFE). We reviewed the published literature in the period from November 2003 to November 2005. Well over 300 papers were published in this period. This large body of work indicates continuing active growth of the field, but an exhaustive review is beyond the scope of this work. We have chosen to include a sampling of publications that best represent the continuing trends and new ideas in the field. In keeping with past reviews on this subject1, we have broadened our scope to include fluid systems operating at high temperature and pressure, but below the critical point. Various terms have been applied to this state: sub-critical fluid extraction, pressurized liquid extraction, and accelerated solvent extraction. The term accelerated solvent extraction has been used by instrument manufacturers to refer to this process, but we will use the more descriptive term pressurized liquid extraction (PLE) to refer to these systems. Most of the research in the field is of an “evolutionary” rather than “revolutionary” nature. As in the previous review period, applications papers make up a majority of the published work. Pharmaceutical applications continue to be a strong theme. Most of the pharmaceutical work has centered on preparative, rather than analytical, separations. Chiral separations are an exception, as analytical scale separations of chiral compounds are an area of intense interest. Food and natural products represent the next largest body of work. Major themes are the isolation and characterization of high-value added foodstuffs, fragrances, and flavor compounds from novel natural materials or agricultural by-products. The areas of food, natural products, and pharmaceutical separation science converge in the area of so-called nutraceuticals. These are typically high-value products, either sold alone or as part of a fortified food, that

  14. Protecting the interests of the child bone marrow donor.

    Science.gov (United States)

    Terry, Louise M; Campbell, Anne

    2004-01-01

    At a time when designer babies have been created to act as cord blood donors to sick siblings, ethical debate has focused predominantly on the extent to which it is acceptable to create one human being to assist another. However, children are frequently used this way, by their families and doctors who extract their bone marrow, to try to save the life of another, usually a sibling. With any life-threatening illness, there is the possibility that the urgency of the sick sibling's need means that the short-term welfare of the donor child receives less attention than it should by parents and doctors. This article suggests ways to protect the interests of such children and empower them within the decision-making process and concludes that the drive to save life must be tempered by recognition of the intrinsic worth of donor children and their rights not to be exploited.

  15. Extraction of features from sleep EEG for Bayesian assessment of brain development

    Science.gov (United States)

    2017-01-01

    Brain development can be evaluated by experts analysing age-related patterns in sleep electroencephalograms (EEG). Natural variations in the patterns, noise, and artefacts affect the evaluation accuracy as well as experts’ agreement. The knowledge of predictive posterior distribution allows experts to estimate confidence intervals within which decisions are distributed. Bayesian approach to probabilistic inference has provided accurate estimates of intervals of interest. In this paper we propose a new feature extraction technique for Bayesian assessment and estimation of predictive distribution in a case of newborn brain development assessment. The new EEG features are verified within the Bayesian framework on a large EEG data set including 1,100 recordings made from newborns in 10 age groups. The proposed features are highly correlated with brain maturation and their use increases the assessment accuracy. PMID:28323852

  16. Using Situational Interest to Enhance Individual Interest and Science-Related Behaviours

    Science.gov (United States)

    Palmer, David; Dixon, Jeanette; Archer, Jennifer

    2016-08-01

    Situational interest is a relatively transient reaction to highly stimulating factors in the immediate environment, whereas individual interest is a relatively long-term preference for a particular subject or activity. It has been proposed that regular experiences of situational interest in a subject may eventually lead to the development of individual interest in that subject. Importantly, this should also result in an increase in behaviours related to that domain. For example, a student who develops an individual interest in science would be expected to spend more time on science-related activities such as reading about science, talking with other people about science, or watching science shows on TV. However, the extent to which this does happen has not yet been established. The purposes of this study were to find out whether regular experiences of situational interest in science classes can enhance individual interest in science and whether there is an associated increase in science-related activities. The participants were primary teacher education students who were enrolled in a semester-length science course. Data were collected using a survey, an interest inventory, open-ended questionnaires and interviews. It was found that regular experiences of situational interest during the course were associated with positive changes in individual interest in science and increased participation in science-related activities. These changes remained relatively stable over a delay period of 10 months after the end of the course.

  17. Using Situational Interest to Enhance Individual Interest and Science-Related Behaviours

    Science.gov (United States)

    Palmer, David; Dixon, Jeanette; Archer, Jennifer

    2017-08-01

    Situational interest is a relatively transient reaction to highly stimulating factors in the immediate environment, whereas individual interest is a relatively long-term preference for a particular subject or activity. It has been proposed that regular experiences of situational interest in a subject may eventually lead to the development of individual interest in that subject. Importantly, this should also result in an increase in behaviours related to that domain. For example, a student who develops an individual interest in science would be expected to spend more time on science-related activities such as reading about science, talking with other people about science, or watching science shows on TV. However, the extent to which this does happen has not yet been established. The purposes of this study were to find out whether regular experiences of situational interest in science classes can enhance individual interest in science and whether there is an associated increase in science-related activities. The participants were primary teacher education students who were enrolled in a semester-length science course. Data were collected using a survey, an interest inventory, open-ended questionnaires and interviews. It was found that regular experiences of situational interest during the course were associated with positive changes in individual interest in science and increased participation in science-related activities. These changes remained relatively stable over a delay period of 10 months after the end of the course.

  18. Ultrasound-Assisted Extraction of Stilbenes from Grape Canes

    Directory of Open Access Journals (Sweden)

    Zulema Piñeiro

    2016-06-01

    Full Text Available An analytical ultrasound-assisted extraction (UAE method has been optimized and validated for the rapid extraction of stilbenes from grape canes. The influence of sample pre-treatment (oven or freeze-drying and several extraction variables (solvent, sample-solvent ratio and extraction time between others on the extraction process were analyzed. The new method allowed the main stilbenes in grape canes to be extracted in just 10 min, with an extraction temperature of 75 °C and 60% ethanol in water as the extraction solvent. Validation of the extraction method was based on analytical properties. The resulting RSDs (n = 5 for interday/intraday precision were less than 10%. Furthermore, the method was successfully applied in the analysis of 20 different grape cane samples. The result showed that grape cane byproducts are potentially sources of bioactive compounds of interest for pharmaceutical and food industries.

  19. Career Interests of Students in Psychology Specialties Degrees: Psychometric Evidence and Correlations with the RIASEC Dimensions

    Science.gov (United States)

    Ferreira, Aristides I.; Rodrigues, Rosa I.; da Costa Ferreira, Paula

    2016-01-01

    In this study, we present the development of a vocational interest scale for university students studying psychology. Three dimensions were extracted through principal component analysis, namely, organizational, educational, and clinical psychology. A second study with confirmatory factor analysis replicated the same three factors obtained in the…

  20. Career Interests of Students in Psychology Specialties Degrees: Psychometric Evidence and Correlations with the RIASEC Dimensions

    Science.gov (United States)

    Ferreira, Aristides I.; Rodrigues, Rosa I.; da Costa Ferreira, Paula

    2016-01-01

    In this study, we present the development of a vocational interest scale for university students studying psychology. Three dimensions were extracted through principal component analysis, namely, organizational, educational, and clinical psychology. A second study with confirmatory factor analysis replicated the same three factors obtained in the…