WorldWideScience

Sample records for relevant text images

  1. Finding text in color images

    Science.gov (United States)

    Zhou, Jiangying; Lopresti, Daniel P.; Tasdizen, Tolga

    1998-04-01

    In this paper, we consider the problem of locating and extracting text from WWW images. A previous algorithm based on color clustering and connected components analysis works well as long as the color of each character is relatively uniform and the typography is fairly simple. It breaks down quickly, however, when these assumptions are violated. In this paper, we describe more robust techniques for dealing with this challenging problem. We present an improved color clustering algorithm that measures similarity based on both RGB and spatial proximity. Layout analysis is also incorporated to handle more complex typography. THese changes significantly enhance the performance of our text detection procedure.

  2. Enriching text with images and colored light

    Science.gov (United States)

    Sekulovski, Dragan; Geleijnse, Gijs; Kater, Bram; Korst, Jan; Pauws, Steffen; Clout, Ramon

    2008-01-01

    We present an unsupervised method to enrich textual applications with relevant images and colors. The images are collected by querying large image repositories and subsequently the colors are computed using image processing. A prototype system based on this method is presented where the method is applied to song lyrics. In combination with a lyrics synchronization algorithm the system produces a rich multimedia experience. In order to identify terms within the text that may be associated with images and colors, we select noun phrases using a part of speech tagger. Large image repositories are queried with these terms. Per term representative colors are extracted using the collected images. Hereto, we either use a histogram-based or a mean shift-based algorithm. The representative color extraction uses the non-uniform distribution of the colors found in the large repositories. The images that are ranked best by the search engine are displayed on a screen, while the extracted representative colors are rendered on controllable lighting devices in the living room. We evaluate our method by comparing the computed colors to standard color representations of a set of English color terms. A second evaluation focuses on the distance in color between a queried term in English and its translation in a foreign language. Based on results from three sets of terms, a measure of suitability of a term for color extraction based on KL Divergence is proposed. Finally, we compare the performance of the algorithm using either the automatically indexed repository of Google Images and the manually annotated Flickr.com. Based on the results of these experiments, we conclude that using the presented method we can compute the relevant color for a term using a large image repository and image processing.

  3. Text segmentation in degraded historical document images

    Directory of Open Access Journals (Sweden)

    A.S. Kavitha

    2016-07-01

    Full Text Available Text segmentation from degraded Historical Indus script images helps Optical Character Recognizer (OCR to achieve good recognition rates for Hindus scripts; however, it is challenging due to complex background in such images. In this paper, we present a new method for segmenting text and non-text in Indus documents based on the fact that text components are less cursive compared to non-text ones. To achieve this, we propose a new combination of Sobel and Laplacian for enhancing degraded low contrast pixels. Then the proposed method generates skeletons for text components in enhanced images to reduce computational burdens, which in turn helps in studying component structures efficiently. We propose to study the cursiveness of components based on branch information to remove false text components. The proposed method introduces the nearest neighbor criterion for grouping components in the same line, which results in clusters. Furthermore, the proposed method classifies these clusters into text and non-text cluster based on characteristics of text components. We evaluate the proposed method on a large dataset containing varieties of images. The results are compared with the existing methods to show that the proposed method is effective in terms of recall and precision.

  4. Exploring Culturally Relevant Texts with Kindergartners and Their Families

    Science.gov (United States)

    Schrodt, Katie; Fain, Jeanne Gilliam; Hasty, Michelle

    2015-01-01

    This article shares a monthly curricular model that can help teachers and families bridge the gap between home and school by using literature and response inspired from the cultures in the classroom. Integrating culturally responsive texts and family response journals into the classroom and the home can help children, their families, and peers…

  5. Meditation on OM: Relevance from ancient texts and contemporary science

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    Kumar Sanjay

    2010-01-01

    Full Text Available Background: In Indian scriptures the sacred syllable Om is the primordial sound from which all other sounds and creation emerge which signifies the Supreme Power. Aims: To explore the significance of the syllable OM from ancient texts and effects of OM meditation in contemporary science. Descriptions from ancient texts: The descriptions of Om have been taken from four Upanisads (Mundaka, Mandukya, Svetasvatara, and Katha, the Bhagvad Gita, and Patanjali′s Yoga Sutras. Scientific studies on Om: Autonomic and respiratory studies suggest that there is a combination of mental alertness with physiological rest during the practice of Om meditation. Evoked potentials studies suggest a decrease in sensory transmission time at the level of the auditory association cortices, along with recruitment of more neurons at mesencephalic-diencephalic levels. Conclusion: It is considered that a person who realizes Om, merges with the Absolute. Scientific studies on Om suggest that the mental repetition of Om results in physiological alertness, and increased sensitivity to sensory transmission.

  6. Relevant Scatterers Characterization in SAR Images

    Science.gov (United States)

    Chaabouni, Houda; Datcu, Mihai

    2006-11-01

    Recognizing scenes in a single look meter resolution Synthetic Aperture Radar (SAR) images, requires the capability to identify relevant signal signatures in condition of variable image acquisition geometry, arbitrary objects poses and configurations. Among the methods to detect relevant scatterers in SAR images, we can mention the internal coherence. The SAR spectrum splitted in azimuth generates a series of images which preserve high coherence only for particular object scattering. The detection of relevant scatterers can be done by correlation study or Independent Component Analysis (ICA) methods. The present article deals with the state of the art for SAR internal correlation analysis and proposes further extensions using elements of inference based on information theory applied to complex valued signals. The set of azimuth looks images is analyzed using mutual information measures and an equivalent channel capacity is derived. The localization of the "target" requires analysis in a small image window, thus resulting in imprecise estimation of the second order statistics of the signal. For a better precision, a Hausdorff measure is introduced. The method is applied to detect and characterize relevant objects in urban areas.

  7. Relevance Feedback in Content Based Image Retrieval: A Review

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    Manesh B. Kokare

    2011-01-01

    Full Text Available This paper provides an overview of the technical achievements in the research area of relevance feedback (RF in content-based image retrieval (CBIR. Relevance feedback is a powerful technique in CBIR systems, in order to improve the performance of CBIR effectively. It is an open research area to the researcher to reduce the semantic gap between low-level features and high level concepts. The paper covers the current state of art of the research in relevance feedback in CBIR, various relevance feedback techniques and issues in relevance feedback are discussed in detail.

  8. Effects of Coherence and Relevance on Shallow and Deep Text Processing.

    Science.gov (United States)

    Lehman, Stephen; Schraw, Gregory

    2002-01-01

    Examines the effects of coherence and relevance on shallow and deeper text processing, testing the hypothesis that enhancing the relevance of text segments compensates for breaks in local and global coherence. Results reveal that breaks in local coherence had no effect on any outcome measures, whereas relevance enhanced deeper processing.…

  9. Text Character Extraction Implementation from Captured Handwritten Image to Text Conversionusing Template Matching Technique

    Directory of Open Access Journals (Sweden)

    Barate Seema

    2016-01-01

    Full Text Available Images contain various types of useful information that should be extracted whenever required. A various algorithms and methods are proposed to extract text from the given image, and by using that user will be able to access the text from any image. Variations in text may occur because of differences in size, style,orientation, alignment of text, and low image contrast, composite backgrounds make the problem during extraction of text. If we develop an application that extracts and recognizes those texts accurately in real time, then it can be applied to many important applications like document analysis, vehicle license plate extraction, text- based image indexing, etc and many applications have become realities in recent years. To overcome the above problems we develop such application that will convert the image into text by using algorithms, such as bounding box, HSV model, blob analysis,template matching, template generation.

  10. Moving beyond Text Highlights: Inferring Users' Interests to Improve the Relevance of Retrieval

    Science.gov (United States)

    Balakrishnan, Vimala; Mehmood, Yasir; Nagappan, Yoganathan

    2016-01-01

    Introduction: Studies have indicated that users' text highlighting behaviour can be further manipulated to improve the relevance of retrieved results. This article reports on a study that examined users' text highlight frequency, length and users' copy-paste actions. Method: A binary voting mechanism was employed to determine the weights for the…

  11. The Implementation of Cosine Similarity to Calculate Text Relevance between Two Documents

    Science.gov (United States)

    Gunawan, D.; Sembiring, C. A.; Budiman, M. A.

    2018-03-01

    Rapidly increasing number of web pages or documents leads to topic specific filtering in order to find web pages or documents efficiently. This is a preliminary research that uses cosine similarity to implement text relevance in order to find topic specific document. This research is divided into three parts. The first part is text-preprocessing. In this part, the punctuation in a document will be removed, then convert the document to lower case, implement stop word removal and then extracting the root word by using Porter Stemming algorithm. The second part is keywords weighting. Keyword weighting will be used by the next part, the text relevance calculation. Text relevance calculation will result the value between 0 and 1. The closer value to 1, then both documents are more related, vice versa.

  12. Recognition of pornographic web pages by classifying texts and images.

    Science.gov (United States)

    Hu, Weiming; Wu, Ou; Chen, Zhouyao; Fu, Zhouyu; Maybank, Steve

    2007-06-01

    With the rapid development of the World Wide Web, people benefit more and more from the sharing of information. However, Web pages with obscene, harmful, or illegal content can be easily accessed. It is important to recognize such unsuitable, offensive, or pornographic Web pages. In this paper, a novel framework for recognizing pornographic Web pages is described. A C4.5 decision tree is used to divide Web pages, according to content representations, into continuous text pages, discrete text pages, and image pages. These three categories of Web pages are handled, respectively, by a continuous text classifier, a discrete text classifier, and an algorithm that fuses the results from the image classifier and the discrete text classifier. In the continuous text classifier, statistical and semantic features are used to recognize pornographic texts. In the discrete text classifier, the naive Bayes rule is used to calculate the probability that a discrete text is pornographic. In the image classifier, the object's contour-based features are extracted to recognize pornographic images. In the text and image fusion algorithm, the Bayes theory is used to combine the recognition results from images and texts. Experimental results demonstrate that the continuous text classifier outperforms the traditional keyword-statistics-based classifier, the contour-based image classifier outperforms the traditional skin-region-based image classifier, the results obtained by our fusion algorithm outperform those by either of the individual classifiers, and our framework can be adapted to different categories of Web pages.

  13. [Symbol: see text]2 Optimized predictive image coding with [Symbol: see text]∞ bound.

    Science.gov (United States)

    Chuah, Sceuchin; Dumitrescu, Sorina; Wu, Xiaolin

    2013-12-01

    In many scientific, medical, and defense applications of image/video compression, an [Symbol: see text]∞ error bound is required. However, pure[Symbol: see text]∞-optimized image coding, colloquially known as near-lossless image coding, is prone to structured errors such as contours and speckles if the bit rate is not sufficiently high; moreover, most of the previous [Symbol: see text]∞-based image coding methods suffer from poor rate control. In contrast, the [Symbol: see text]2 error metric aims for average fidelity and hence preserves the subtlety of smooth waveforms better than the ∞ error metric and it offers fine granularity in rate control, but pure [Symbol: see text]2-based image coding methods (e.g., JPEG 2000) cannot bound individual errors as the [Symbol: see text]∞-based methods can. This paper presents a new compression approach to retain the benefits and circumvent the pitfalls of the two error metrics. A common approach of near-lossless image coding is to embed into a DPCM prediction loop a uniform scalar quantizer of residual errors. The said uniform scalar quantizer is replaced, in the proposed new approach, by a set of context-based [Symbol: see text]2-optimized quantizers. The optimization criterion is to minimize a weighted sum of the [Symbol: see text]2 distortion and the entropy while maintaining a strict [Symbol: see text]∞ error bound. The resulting method obtains good rate-distortion performance in both [Symbol: see text]2 and [Symbol: see text]∞ metrics and also increases the rate granularity. Compared with JPEG 2000, the new method not only guarantees lower [Symbol: see text]∞ error for all bit rates, but also it achieves higher PSNR for relatively high bit rates.

  14. Claude Simon : une contestation du texte par l’image

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    Bérénice Bonhomme

    2009-05-01

    Full Text Available L’image joue un rôle central dans l’œuvre de Claude Simon. Le rôle de l’image plastique apparaît d’abord comme un stimulus, mais c’est une image absentée, en creux, mise hors jeux. Inversement, le mot lui-même devient image, tension rentrée vers le visible qui va jusqu’au rébus et au mythogramme, objet biface d’image-parole. L’image comme en creux de l’œuvre a un rôle proprement contestataire, faisant bouger les lignes et les frontières, transformant en profondeur non seulement le texte simonien mais aussi notre regard sur lui.The image plays a central role in the work of Claude Simon. The image appears as a stimulus at first, but it is an eclipsed image. It remains only as a footprint which is not in play. Conversely, word itself becomes an image, its tension is turned towards the visible which takes it as far as rebus and mythogramme: the biface object of an image-word. As if in the hollow of the work, the image has a genuinely questioning role, making lines and borders move, transforming in depth not only the simonien text but also ourimpression of it.

  15. Semantic Document Image Classification Based on Valuable Text Pattern

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    Hossein Pourghassem

    2011-01-01

    Full Text Available Knowledge extraction from detected document image is a complex problem in the field of information technology. This problem becomes more intricate when we know, a negligible percentage of the detected document images are valuable. In this paper, a segmentation-based classification algorithm is used to analysis the document image. In this algorithm, using a two-stage segmentation approach, regions of the image are detected, and then classified to document and non-document (pure region regions in the hierarchical classification. In this paper, a novel valuable definition is proposed to classify document image in to valuable or invaluable categories. The proposed algorithm is evaluated on a database consisting of the document and non-document image that provide from Internet. Experimental results show the efficiency of the proposed algorithm in the semantic document image classification. The proposed algorithm provides accuracy rate of 98.8% for valuable and invaluable document image classification problem.

  16. Words Matter: Scene Text for Image Classification and Retrieval

    NARCIS (Netherlands)

    Karaoglu, S.; Tao, R.; Gevers, T.; Smeulders, A.W.M.

    Text in natural images typically adds meaning to an object or scene. In particular, text specifies which business places serve drinks (e.g., cafe, teahouse) or food (e.g., restaurant, pizzeria), and what kind of service is provided (e.g., massage, repair). The mere presence of text, its words, and

  17. Contingent Attentional Capture by Conceptually Relevant Images

    Science.gov (United States)

    Wyble, Brad; Folk, Charles; Potter, Mary C.

    2013-01-01

    Attentional capture is an unintentional shift of visuospatial attention to the location of a distractor that is either highly salient, or relevant to the current task set. The latter situation is referred to as contingent capture, in that the effect is contingent on a match between characteristics of the stimuli and the task-defined…

  18. A corpus of images and text in online news

    NARCIS (Netherlands)

    L. Hollink (Laura); A. Bedjeti (Adriatik); M. van Harmelen; D. Elliott (Desmond)

    2016-01-01

    htmlabstractIn recent years, several datasets have been released that include images and text, giving impulse to new methods that combine natural language processing and computer vision. However, there is a need for datasets of images in their natural textual context. The ION corpus contains 300K

  19. Aspect-based Relevance Learning for Image Retrieval

    NARCIS (Netherlands)

    M.J. Huiskes (Mark)

    2005-01-01

    htmlabstractWe analyze the special structure of the relevance feedback learning problem, focusing particularly on the effects of image selection by partial relevance on the clustering behavior of feedback examples. We propose a scheme, aspect-based relevance learning, which guarantees that feedback

  20. "What is relevant in a text document?": An interpretable machine learning approach.

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    Leila Arras

    Full Text Available Text documents can be described by a number of abstract concepts such as semantic category, writing style, or sentiment. Machine learning (ML models have been trained to automatically map documents to these abstract concepts, allowing to annotate very large text collections, more than could be processed by a human in a lifetime. Besides predicting the text's category very accurately, it is also highly desirable to understand how and why the categorization process takes place. In this paper, we demonstrate that such understanding can be achieved by tracing the classification decision back to individual words using layer-wise relevance propagation (LRP, a recently developed technique for explaining predictions of complex non-linear classifiers. We train two word-based ML models, a convolutional neural network (CNN and a bag-of-words SVM classifier, on a topic categorization task and adapt the LRP method to decompose the predictions of these models onto words. Resulting scores indicate how much individual words contribute to the overall classification decision. This enables one to distill relevant information from text documents without an explicit semantic information extraction step. We further use the word-wise relevance scores for generating novel vector-based document representations which capture semantic information. Based on these document vectors, we introduce a measure of model explanatory power and show that, although the SVM and CNN models perform similarly in terms of classification accuracy, the latter exhibits a higher level of explainability which makes it more comprehensible for humans and potentially more useful for other applications.

  1. Prognosis Essay Scoring and Article Relevancy Using Multi-Text Features and Machine Learning

    Directory of Open Access Journals (Sweden)

    Arif Mehmood

    2017-01-01

    Full Text Available This study develops a model for essay scoring and article relevancy. Essay scoring is a costly process when we consider the time spent by an evaluator. It may lead to inequalities of the effort by various evaluators to apply the same evaluation criteria. Bibliometric research uses the evaluation criteria to find relevancy of articles instead. Researchers mostly face relevancy issues while searching articles. Therefore, they classify the articles manually. However, manual classification is burdensome due to time needed for evaluation. The proposed model performs automatic essay evaluation using multi-text features and ensemble machine learning. The proposed method is implemented in two data sets: a Kaggle short answer data set for essay scoring that includes four ranges of disciplines (Science, Biology, English, and English language Arts, and a bibliometric data set having IoT (Internet of Things and non-IoT classes. The efficacy of the model is measured against the Tandalla and AutoP approach using Cohen’s kappa. The model achieves kappa values of 0.80 and 0.83 for the first and second data sets, respectively. Kappa values show that the proposed model has better performance than those of earlier approaches.

  2. Text Detection in Natural Scene Images by Stroke Gabor Words.

    Science.gov (United States)

    Yi, Chucai; Tian, Yingli

    2011-01-01

    In this paper, we propose a novel algorithm, based on stroke components and descriptive Gabor filters, to detect text regions in natural scene images. Text characters and strings are constructed by stroke components as basic units. Gabor filters are used to describe and analyze the stroke components in text characters or strings. We define a suitability measurement to analyze the confidence of Gabor filters in describing stroke component and the suitability of Gabor filters on an image window. From the training set, we compute a set of Gabor filters that can describe principle stroke components of text by their parameters. Then a K -means algorithm is applied to cluster the descriptive Gabor filters. The clustering centers are defined as Stroke Gabor Words (SGWs) to provide a universal description of stroke components. By suitability evaluation on positive and negative training samples respectively, each SGW generates a pair of characteristic distributions of suitability measurements. On a testing natural scene image, heuristic layout analysis is applied first to extract candidate image windows. Then we compute the principle SGWs for each image window to describe its principle stroke components. Characteristic distributions generated by principle SGWs are used to classify text or nontext windows. Experimental results on benchmark datasets demonstrate that our algorithm can handle complex backgrounds and variant text patterns (font, color, scale, etc.).

  3. Childhood kidney tumors - the relevance of imaging

    International Nuclear Information System (INIS)

    Schenk, J.-P.; Schrader, C.; Ley, S.; Troeger, J.; Guenther, P.; Furtwaengler, R.; Graf, N.; Leuschner, I.; Edelhaeuser, M.

    2005-01-01

    Kidney tumors represent 6.2% of malignant tumors in children. History, clinical course and radiological findings are necessary elements in the differential diagnosis of the different renal tumors. In the case of nephroblastoma, chemotherapy is based solely on the radiological diagnosis without prior histology. In therapy-optimizing studies of the Society of Pediatric Oncology and Hematology, preoperative chemotherapy is performed. Therapy monitoring is performed in the course of and after preoperative chemotherapy to verify tumor response. Radiological staging plays a significant role in deciding on further treatment and in operative planning. Three-dimensional visualization of the abdominal situs can assist preoperative planning. In summary, diagnostic imaging in renal tumors in children plays a role in differential diagnosis, staging, monitoring of therapy, and surgical planning. (orig.) [de

  4. Learning tag relevance by neighbor voting for social image retrieval

    NARCIS (Netherlands)

    Li, X.; Snoek, C.G.M.; Worring, M.

    2008-01-01

    Social image retrieval is important for exploiting the increasing amounts of amateur-tagged multimedia such as Flickr images. Since amateur tagging is known to be uncontrolled, ambiguous, and personalized, a fundamental problem is how to reliably interpret the relevance of a tag with respect to the

  5. Machine printed text and handwriting identification in noisy document images.

    Science.gov (United States)

    Zheng, Yefeng; Li, Huiping; Doermann, David

    2004-03-01

    In this paper, we address the problem of the identification of text in noisy document images. We are especially focused on segmenting and identifying between handwriting and machine printed text because: 1) Handwriting in a document often indicates corrections, additions, or other supplemental information that should be treated differently from the main content and 2) the segmentation and recognition techniques requested for machine printed and handwritten text are significantly different. A novel aspect of our approach is that we treat noise as a separate class and model noise based on selected features. Trained Fisher classifiers are used to identify machine printed text and handwriting from noise and we further exploit context to refine the classification. A Markov Random Field-based (MRF) approach is used to model the geometrical structure of the printed text, handwriting, and noise to rectify misclassifications. Experimental results show that our approach is robust and can significantly improve page segmentation in noisy document collections.

  6. Bollywood Movie Corpus for Text, Images and Videos

    OpenAIRE

    Madaan, Nishtha; Mehta, Sameep; Saxena, Mayank; Aggarwal, Aditi; Agrawaal, Taneea S; Malhotra, Vrinda

    2017-01-01

    In past few years, several data-sets have been released for text and images. We present an approach to create the data-set for use in detecting and removing gender bias from text. We also include a set of challenges we have faced while creating this corpora. In this work, we have worked with movie data from Wikipedia plots and movie trailers from YouTube. Our Bollywood Movie corpus contains 4000 movies extracted from Wikipedia and 880 trailers extracted from YouTube which were released from 1...

  7. RSA Key Development Using Fingerprint Image on Text Message

    Science.gov (United States)

    Rahman, Sayuti; Triana, Indah; Khairani, Sumi; Yasir, Amru; Sundari, Siti

    2017-12-01

    Along with the development of technology today, humans are very facilitated in accessing information and Communicate with various media, including through the Internet network . Messages are sent by media such as text are not necessarily guaranteed security. it is often found someone that wants to send a secret message to the recipient, but the messages can be known by irresponsible people. So the sender feels dissappointed because the secret message that should be known only to the recipient only becomes known by the irresponsible people . It is necessary to do security the message by using the RSA algorithm, Using fingerprint image to generate RSA key.This is a solution to enrich the security of a message,it is needed to process images firstly before generating RSA keys with feature extraction.

  8. BreakingNews: Article Annotation by Image and Text Processing.

    Science.gov (United States)

    Ramisa, Arnau; Yan, Fei; Moreno-Noguer, Francesc; Mikolajczyk, Krystian

    2018-05-01

    Building upon recent Deep Neural Network architectures, current approaches lying in the intersection of Computer Vision and Natural Language Processing have achieved unprecedented breakthroughs in tasks like automatic captioning or image retrieval. Most of these learning methods, though, rely on large training sets of images associated with human annotations that specifically describe the visual content. In this paper we propose to go a step further and explore the more complex cases where textual descriptions are loosely related to the images. We focus on the particular domain of news articles in which the textual content often expresses connotative and ambiguous relations that are only suggested but not directly inferred from images. We introduce an adaptive CNN architecture that shares most of the structure for multiple tasks including source detection, article illustration and geolocation of articles. Deep Canonical Correlation Analysis is deployed for article illustration, and a new loss function based on Great Circle Distance is proposed for geolocation. Furthermore, we present BreakingNews, a novel dataset with approximately 100K news articles including images, text and captions, and enriched with heterogeneous meta-data (such as GPS coordinates and user comments). We show this dataset to be appropriate to explore all aforementioned problems, for which we provide a baseline performance using various Deep Learning architectures, and different representations of the textual and visual features. We report very promising results and bring to light several limitations of current state-of-the-art in this kind of domain, which we hope will help spur progress in the field.

  9. Interactive Effects of Working Memory Self-Regulatory Ability and Relevance Instructions on Text Processing

    Science.gov (United States)

    Hamilton, Nancy Jo

    2012-01-01

    Reading is a process that requires the enactment of many cognitive processes. Each of these processes uses a certain amount of working memory resources, which are severely constrained by biology. More efficiency in the function of working memory may mediate the biological limits of same. Reading relevancy instructions may be one such method to…

  10. Interactive image and text processing for nuclear treaty support

    International Nuclear Information System (INIS)

    Petrie, G.M.; Rohay, A.C.; Wukelic, G.E.; Foote, H.P.

    1991-03-01

    The report covers experimentation with integrating a wide range of technologies and data sets with the principal goal of supporting treaty related activity. Scientists attempting to apply computer analysis tools to their problem sets often face several practical problems beyond the purely scientific ones. These include (1) the need to be proficient in several different computer operating systems with diverse characteristics, (2) the time wasted in dealing with software issues rather than problem solving and (3) the time required to master computer application software, which limits time available to explore new analysis techniques. In an attempt to mitigate these problems, the Pacific Northwest Laboratory (PNL) is developing a spatial-based data fusion system. Selected features of this system, involving advanced image and text processing schemes, have applicability to both technical and non-technical functions associated with increasing treaty-related information management requirements

  11. Infrared photothermal imaging of trace explosives on relevant substrates

    Science.gov (United States)

    Kendziora, Christopher A.; Furstenberg, Robert; Papantonakis, Michael; Nguyen, Viet; Borchert, James; Byers, Jeff; McGill, R. Andrew

    2013-06-01

    We are developing a technique for the stand-off detection of trace explosives on relevant substrate surfaces using photo-thermal infrared (IR) imaging spectroscopy (PT-IRIS). This approach leverages one or more compact IR quantum cascade lasers, tuned to strong absorption bands in the analytes and directed to illuminate an area on a surface of interest. An IR focal plane array is used to image the surface and detect small increases in thermal emission upon laser illumination. The PT-IRIS signal is processed as a hyperspectral image cube comprised of spatial, spectral and temporal dimensions as vectors within a detection algorithm. The ability to detect trace analytes on relevant substrates is critical for stand-off applications, but is complicated by the optical and thermal analyte/substrate interactions. This manuscript describes recent PT-IRIS experimental results and analysis for traces of RDX, TNT, ammonium nitrate (AN) and sucrose on relevant substrates (steel, polyethylene, glass and painted steel panels). We demonstrate that these analytes can be detected on these substrates at relevant surface mass loadings (10 μg/cm2 to 100 μg/cm2) even at the single pixel level.

  12. Automatic medical image annotation and keyword-based image retrieval using relevance feedback.

    Science.gov (United States)

    Ko, Byoung Chul; Lee, JiHyeon; Nam, Jae-Yeal

    2012-08-01

    This paper presents novel multiple keywords annotation for medical images, keyword-based medical image retrieval, and relevance feedback method for image retrieval for enhancing image retrieval performance. For semantic keyword annotation, this study proposes a novel medical image classification method combining local wavelet-based center symmetric-local binary patterns with random forests. For keyword-based image retrieval, our retrieval system use the confidence score that is assigned to each annotated keyword by combining probabilities of random forests with predefined body relation graph. To overcome the limitation of keyword-based image retrieval, we combine our image retrieval system with relevance feedback mechanism based on visual feature and pattern classifier. Compared with other annotation and relevance feedback algorithms, the proposed method shows both improved annotation performance and accurate retrieval results.

  13. RECOVERY OF DOCUMENT TEXT FROM TORN FRAGMENTS USING IMAGE PROCESSING

    OpenAIRE

    C.Prasad; Dr.Mahesh; Dr.S.A.K. Jilani

    2016-01-01

    Recovery of document from its torn or damaged fragments play an important role in the field of forensics and archival study. Reconstruction of the torn papers manually with the help of glue and tapes etc., is tedious, time consuming and not satisfactory. For torn images reconstruction we go for image mosaicing, where we reconstruct the image using features (corners) and RANSAC with homography.But for the torn fragments there is no such similarity portion between fragments. Hence we propose a ...

  14. Generation of silver standard concept annotations from biomedical texts with special relevance to phenotypes.

    Directory of Open Access Journals (Sweden)

    Anika Oellrich

    Full Text Available Electronic health records and scientific articles possess differing linguistic characteristics that may impact the performance of natural language processing tools developed for one or the other. In this paper, we investigate the performance of four extant concept recognition tools: the clinical Text Analysis and Knowledge Extraction System (cTAKES, the National Center for Biomedical Ontology (NCBO Annotator, the Biomedical Concept Annotation System (BeCAS and MetaMap. Each of the four concept recognition systems is applied to four different corpora: the i2b2 corpus of clinical documents, a PubMed corpus of Medline abstracts, a clinical trails corpus and the ShARe/CLEF corpus. In addition, we assess the individual system performances with respect to one gold standard annotation set, available for the ShARe/CLEF corpus. Furthermore, we built a silver standard annotation set from the individual systems' output and assess the quality as well as the contribution of individual systems to the quality of the silver standard. Our results demonstrate that mainly the NCBO annotator and cTAKES contribute to the silver standard corpora (F1-measures in the range of 21% to 74% and their quality (best F1-measure of 33%, independent from the type of text investigated. While BeCAS and MetaMap can contribute to the precision of silver standard annotations (precision of up to 42%, the F1-measure drops when combined with NCBO Annotator and cTAKES due to a low recall. In conclusion, the performances of individual systems need to be improved independently from the text types, and the leveraging strategies to best take advantage of individual systems' annotations need to be revised. The textual content of the PubMed corpus, accession numbers for the clinical trials corpus, and assigned annotations of the four concept recognition systems as well as the generated silver standard annotation sets are available from http://purl.org/phenotype/resources. The textual content

  15. Generation of silver standard concept annotations from biomedical texts with special relevance to phenotypes.

    Science.gov (United States)

    Oellrich, Anika; Collier, Nigel; Smedley, Damian; Groza, Tudor

    2015-01-01

    Electronic health records and scientific articles possess differing linguistic characteristics that may impact the performance of natural language processing tools developed for one or the other. In this paper, we investigate the performance of four extant concept recognition tools: the clinical Text Analysis and Knowledge Extraction System (cTAKES), the National Center for Biomedical Ontology (NCBO) Annotator, the Biomedical Concept Annotation System (BeCAS) and MetaMap. Each of the four concept recognition systems is applied to four different corpora: the i2b2 corpus of clinical documents, a PubMed corpus of Medline abstracts, a clinical trails corpus and the ShARe/CLEF corpus. In addition, we assess the individual system performances with respect to one gold standard annotation set, available for the ShARe/CLEF corpus. Furthermore, we built a silver standard annotation set from the individual systems' output and assess the quality as well as the contribution of individual systems to the quality of the silver standard. Our results demonstrate that mainly the NCBO annotator and cTAKES contribute to the silver standard corpora (F1-measures in the range of 21% to 74%) and their quality (best F1-measure of 33%), independent from the type of text investigated. While BeCAS and MetaMap can contribute to the precision of silver standard annotations (precision of up to 42%), the F1-measure drops when combined with NCBO Annotator and cTAKES due to a low recall. In conclusion, the performances of individual systems need to be improved independently from the text types, and the leveraging strategies to best take advantage of individual systems' annotations need to be revised. The textual content of the PubMed corpus, accession numbers for the clinical trials corpus, and assigned annotations of the four concept recognition systems as well as the generated silver standard annotation sets are available from http://purl.org/phenotype/resources. The textual content of the Sh

  16. Metaphor and Surrealist Collage in Text and Image

    DEFF Research Database (Denmark)

    Paldam, Camilla Skovbjerg

    2006-01-01

      The strong correlation between surrealist poetic images and collages-visual as well as textual-is the point of departure for this paper, which has a threefold aim. Firstly, it explores the relationship between poetic images and strategies on the one hand and the surrealist collages on the other...... for the aesthetic strategy of surrealist collages, visual and textual alike. The paper demonstrates how, by means of "predicative assimilation", the collages create new meaning and insight, thus satisfying the surrealists' aim of seeing the world in a new and open way....

  17. A phase contrast imaging system for TEXT-U

    International Nuclear Information System (INIS)

    Chatterjee, R.; Hallock, G.A.; Gartman, M.L.

    1994-01-01

    A diagnostic to study plasma density fluctuations, Phase Contrast Imaging (PCI) has been developed for the Texas Experimental Tokamak-Upgrade. The diagnostic has a sensitivity of about 10 -4 n e0 and is capable of detecting a wide range of wavenumbers (0.5 cm -1 - 12 cm -1 ) with a bandwidth of 500 Khz. The design of the diagnostic, some results of acoustic calibration tests and preliminary results of simulation of expected spectra are presented

  18. An Enhanced Text-Mining Framework for Extracting Disaster Relevant Data through Social Media and Remote Sensing Data Fusion

    Science.gov (United States)

    Scheele, C. J.; Huang, Q.

    2016-12-01

    In the past decade, the rise in social media has led to the development of a vast number of social media services and applications. Disaster management represents one of such applications leveraging massive data generated for event detection, response, and recovery. In order to find disaster relevant social media data, current approaches utilize natural language processing (NLP) methods based on keywords, or machine learning algorithms relying on text only. However, these approaches cannot be perfectly accurate due to the variability and uncertainty in language used on social media. To improve current methods, the enhanced text-mining framework is proposed to incorporate location information from social media and authoritative remote sensing datasets for detecting disaster relevant social media posts, which are determined by assessing the textual content using common text mining methods and how the post relates spatiotemporally to the disaster event. To assess the framework, geo-tagged Tweets were collected for three different spatial and temporal disaster events: hurricane, flood, and tornado. Remote sensing data and products for each event were then collected using RealEarthTM. Both Naive Bayes and Logistic Regression classifiers were used to compare the accuracy within the enhanced text-mining framework. Finally, the accuracies from the enhanced text-mining framework were compared to the current text-only methods for each of the case study disaster events. The results from this study address the need for more authoritative data when using social media in disaster management applications.

  19. The Image of Public Relations in Mass Comm Texts.

    Science.gov (United States)

    Cline, Carolyn

    1982-01-01

    Compared public relations sections in 12 introductory mass communication texts and found a confusion about the relationship of advertising and public relations, a lack of historical background, and an antipublic relations stance. Journal available from Communication Research Associates, 7100 Baltimore Blvd., Suite 500, College Park, MD 20740; sc…

  20. Diversification in an image retrieval system based on text and image processing

    Directory of Open Access Journals (Sweden)

    Adrian Iftene

    2014-11-01

    Full Text Available In this paper we present an image retrieval system created within the research project MUCKE (Multimedia and User Credibility Knowledge Extraction, a CHIST-ERA research project where UAIC{\\footnote{"Alexandru Ioan Cuza" University of Iasi}} is one of the partners{\\footnote{Together with Technical University from Wienna, Austria, CEA-LIST Institute from Paris, France and BILKENT University from Ankara, Turkey}}. Our discussion in this work will focus mainly on components that are part of our image retrieval system proposed in MUCKE, and we present the work done by the UAIC group. MUCKE incorporates modules for processing multimedia content in different modes and languages (like English, French, German and Romanian and UAIC is responsible with text processing tasks (for Romanian and English. One of the problems addressed by our work is related to search results diversification. In order to solve this problem, we first process the user queries in both languages and secondly, we create clusters of similar images.

  1. Region-Based Image Retrieval Using an Object Ontology and Relevance Feedback

    Directory of Open Access Journals (Sweden)

    Kompatsiaris Ioannis

    2004-01-01

    Full Text Available An image retrieval methodology suited for search in large collections of heterogeneous images is presented. The proposed approach employs a fully unsupervised segmentation algorithm to divide images into regions and endow the indexing and retrieval system with content-based functionalities. Low-level descriptors for the color, position, size, and shape of each region are subsequently extracted. These arithmetic descriptors are automatically associated with appropriate qualitative intermediate-level descriptors, which form a simple vocabulary termed object ontology. The object ontology is used to allow the qualitative definition of the high-level concepts the user queries for (semantic objects, each represented by a keyword and their relations in a human-centered fashion. When querying for a specific semantic object (or objects, the intermediate-level descriptor values associated with both the semantic object and all image regions in the collection are initially compared, resulting in the rejection of most image regions as irrelevant. Following that, a relevance feedback mechanism, based on support vector machines and using the low-level descriptors, is invoked to rank the remaining potentially relevant image regions and produce the final query results. Experimental results and comparisons demonstrate, in practice, the effectiveness of our approach.

  2. Extraction of Pluvial Flood Relevant Volunteered Geographic Information (VGI by Deep Learning from User Generated Texts and Photos

    Directory of Open Access Journals (Sweden)

    Yu Feng

    2018-01-01

    Full Text Available In recent years, pluvial floods caused by extreme rainfall events have occurred frequently. Especially in urban areas, they lead to serious damages and endanger the citizens’ safety. Therefore, real-time information about such events is desirable. With the increasing popularity of social media platforms, such as Twitter or Instagram, information provided by voluntary users becomes a valuable source for emergency response. Many applications have been built for disaster detection and flood mapping using crowdsourcing. Most of the applications so far have merely used keyword filtering or classical language processing methods to identify disaster relevant documents based on user generated texts. As the reliability of social media information is often under criticism, the precision of information retrieval plays a significant role for further analyses. Thus, in this paper, high quality eyewitnesses of rainfall and flooding events are retrieved from social media by applying deep learning approaches on user generated texts and photos. Subsequently, events are detected through spatiotemporal clustering and visualized together with these high quality eyewitnesses in a web map application. Analyses and case studies are conducted during flooding events in Paris, London and Berlin.

  3. General Text-Chunk Localization in Scene Images using a Codebook-based Classifier

    NARCIS (Netherlands)

    Sriman, Bowornrat; Schomaker, Lambertus; Pruksasri, Potchara

    Text localization is a main portal to character recognition in scene images. The detection of text regions in an image is a great challenge. However, many locating methods use a bottom-up scheme that consumes relatively high computation to identify the text regions. Therefore, this paper presents a

  4. Spotting Separator Points at Line Terminals in Compressed Document Images for Text-line Segmentation

    OpenAIRE

    R, Amarnath; Nagabhushan, P.

    2017-01-01

    Line separators are used to segregate text-lines from one another in document image analysis. Finding the separator points at every line terminal in a document image would enable text-line segmentation. In particular, identifying the separators in handwritten text could be a thrilling exercise. Obviously it would be challenging to perform this in the compressed version of a document image and that is the proposed objective in this research. Such an effort would prevent the computational burde...

  5. Significance of perceptually relevant image decolorization for scene classification

    Science.gov (United States)

    Viswanathan, Sowmya; Divakaran, Govind; Soman, Kutti Padanyl

    2017-11-01

    Color images contain luminance and chrominance components representing the intensity and color information, respectively. The objective of this paper is to show the significance of incorporating chrominance information to the task of scene classification. An improved color-to-grayscale image conversion algorithm that effectively incorporates chrominance information is proposed using the color-to-gray structure similarity index and singular value decomposition to improve the perceptual quality of the converted grayscale images. The experimental results based on an image quality assessment for image decolorization and its success rate (using the Cadik and COLOR250 datasets) show that the proposed image decolorization technique performs better than eight existing benchmark algorithms for image decolorization. In the second part of the paper, the effectiveness of incorporating the chrominance component for scene classification tasks is demonstrated using a deep belief network-based image classification system developed using dense scale-invariant feature transforms. The amount of chrominance information incorporated into the proposed image decolorization technique is confirmed with the improvement to the overall scene classification accuracy. Moreover, the overall scene classification performance improved by combining the models obtained using the proposed method and conventional decolorization methods.

  6. Integration of Transport-relevant Data within Image Record of the Surveillance System

    Directory of Open Access Journals (Sweden)

    Adam Stančić

    2016-10-01

    Full Text Available Integration of the collected information on the road within the image recorded by the surveillance system forms a unified source of transport-relevant data about the supervised situation. The basic assumption is that the procedure of integration changes the image to the extent that is invisible to the human eye, and the integrated data keep identical content. This assumption has been proven by studying the statistical properties of the image and integrated data using mathematical model modelled in the programming language Python using the combinations of the functions of additional libraries (OpenCV, NumPy, SciPy and Matplotlib. The model has been used to compare the input methods of meta-data and methods of steganographic integration by correcting the coefficients of Discrete Cosine Transform JPEG compressed image. For the procedures of steganographic data processing the steganographic algorithm F5 was used. The review paper analyses the advantages and drawbacks of the integration methods and present the examples of situations in traffic in which the formed unified sources of transport-relevant information could be used.

  7. Block selective redaction for minimizing loss during de-identification of burned in text in irreversibly compressed JPEG medical images.

    Science.gov (United States)

    Clunie, David A; Gebow, Dan

    2015-01-01

    Deidentification of medical images requires attention to both header information as well as the pixel data itself, in which burned-in text may be present. If the pixel data to be deidentified is stored in a compressed form, traditionally it is decompressed, identifying text is redacted, and if necessary, pixel data are recompressed. Decompression without recompression may result in images of excessive or intractable size. Recompression with an irreversible scheme is undesirable because it may cause additional loss in the diagnostically relevant regions of the images. The irreversible (lossy) JPEG compression scheme works on small blocks of the image independently, hence, redaction can selectively be confined only to those blocks containing identifying text, leaving all other blocks unchanged. An open source implementation of selective redaction and a demonstration of its applicability to multiframe color ultrasound images is described. The process can be applied either to standalone JPEG images or JPEG bit streams encapsulated in other formats, which in the case of medical images, is usually DICOM.

  8. A segmentation algorithm based on image projection for complex text layout

    Science.gov (United States)

    Zhu, Wangsheng; Chen, Qin; Wei, Chuanyi; Li, Ziyang

    2017-10-01

    Segmentation algorithm is an important part of layout analysis, considering the efficiency advantage of the top-down approach and the particularity of the object, a breakdown of projection layout segmentation algorithm. Firstly, the algorithm will algorithm first partitions the text image, and divided into several columns, then for each column scanning projection, the text image is divided into several sub regions through multiple projection. The experimental results show that, this method inherits the projection itself and rapid calculation speed, but also can avoid the effect of arc image information page segmentation, and also can accurate segmentation of the text image layout is complex.

  9. Text and Image of Advertising in Nigeria: An Enterprise of Socio-Cultural Reproduction

    Science.gov (United States)

    Dalamu, Taofeek

    2016-01-01

    The role of language in the construction of socio-cultural reality is inevitable. That is why text is used as a pillar that supports the explication of the intended purpose of images applied in multifaceted ad plates. It is a phenomenal tradition that has remained strong in ad campaigns. Advertisers make images and text as discrete components that…

  10. Prefabricated Images in Young Children’s Text-Making at School

    Directory of Open Access Journals (Sweden)

    Charlotte Engblom

    2016-08-01

    Full Text Available In classrooms where computers are used as tools for text-making, images and photographs from e.g. Google, here called “prefabricated images”, can be selected and copied into texts and combined with writing. In this article children’s use of prefabricated images as resources for personal texts is investigated with specific focus on cohesion between the modes of image and writing. When prefabricated images occur in combination with writing about a personal experience the specific motifs shown in the image are unrelated to the text-maker, but the results of this study show that cohesion may still be obtained, for example via colour, naturalistic modality or decontextualization of the motif in the image via a close-up or a distant perspective. Copying and recontextualization of photographs are common not only in schools but also in professional settings as image banks supply images to, for example, news editors and journalists, and contemporary text creation is often characterized by “representation-as-selection” (Adami and Kress, 2010. The ability to obtain cohesion across modes can be regarded as a defining feature of success in multimodal text-making (Wyatt-Smith and Kimber, 2009, and also for the interpretation of contemporary texts.

  11. Tag-Based Social Image Search: Toward Relevant and Diverse Results

    Science.gov (United States)

    Yang, Kuiyuan; Wang, Meng; Hua, Xian-Sheng; Zhang, Hong-Jiang

    Recent years have witnessed a great success of social media websites. Tag-based image search is an important approach to access the image content of interest on these websites. However, the existing ranking methods for tag-based image search frequently return results that are irrelevant or lack of diversity. This chapter presents a diverse relevance ranking scheme which simultaneously takes relevance and diversity into account by exploring the content of images and their associated tags. First, it estimates the relevance scores of images with respect to the query term based on both visual information of images and semantic information of associated tags. Then semantic similarities of social images are estimated based on their tags. Based on the relevance scores and the similarities, the ranking list is generated by a greedy ordering algorithm which optimizes Average Diverse Precision (ADP), a novel measure that is extended from the conventional Average Precision (AP). Comprehensive experiments and user studies demonstrate the effectiveness of the approach.

  12. Addressing special structure in the relevance feedback learning problem through aspect-based image search

    NARCIS (Netherlands)

    M.J. Huiskes (Mark)

    2004-01-01

    textabstractIn this paper we focus on a number of issues regarding special structure in the relevance feedback learning problem, most notably the effects of image selection based on partial relevance on the clustering behavior of examples. We propose a simple scheme, aspect-based image search, which

  13. Text extraction method for historical Tibetan document images based on block projections

    Science.gov (United States)

    Duan, Li-juan; Zhang, Xi-qun; Ma, Long-long; Wu, Jian

    2017-11-01

    Text extraction is an important initial step in digitizing the historical documents. In this paper, we present a text extraction method for historical Tibetan document images based on block projections. The task of text extraction is considered as text area detection and location problem. The images are divided equally into blocks and the blocks are filtered by the information of the categories of connected components and corner point density. By analyzing the filtered blocks' projections, the approximate text areas can be located, and the text regions are extracted. Experiments on the dataset of historical Tibetan documents demonstrate the effectiveness of the proposed method.

  14. A NEW TECHNIQUE BASED ON CHAOTIC STEGANOGRAPHY AND ENCRYPTION TEXT IN DCT DOMAIN FOR COLOR IMAGE

    Directory of Open Access Journals (Sweden)

    MELAD J. SAEED

    2013-10-01

    Full Text Available Image steganography is the art of hiding information into a cover image. This paper presents a new technique based on chaotic steganography and encryption text in DCT domain for color image, where DCT is used to transform original image (cover image from spatial domain to frequency domain. This technique used chaotic function in two phases; firstly; for encryption secret message, second; for embedding in DCT cover image. With this new technique, good results are obtained through satisfying the important properties of steganography such as: imperceptibility; improved by having mean square error (MSE, peak signal to noise ratio (PSNR and normalized correlation (NC, to phase and capacity; improved by encoding the secret message characters with variable length codes and embedding the secret message in one level of color image only.

  15. Economic Image Media Text: Definition of the Concept and its Content

    Directory of Open Access Journals (Sweden)

    Anastasia V. Kudrina

    2017-12-01

    Full Text Available The article describes the concept of economic image media text and its significance for participants of economic relations. The image factor is one of the ways to gain a place in the economic market, therefore media resources - journalism, advertising and PR are actively used by businessmen and companies with the widest range of pragmatic goals. The concept of the political image and the political image media text as a means of its implementation are known both among media users and among researchers. In spite of the fact that economic relations are closely connected with political ones, and economic factors often determine political processes, practically nothing is known about the economic image media text in the circle of media researchers.

  16. Clinically relevant magnetic resonance imaging (MRI) findings in ...

    African Journals Online (AJOL)

    Background: Shoulder pain is the most common and well-documented site of musculoskeletal pain in elite swimmers. Structural abnormalities on magnetic resonance imaging (MRI) of elite swimmers' symptomatic shoulders are common. Little has been documented about the association between MRI findings in the ...

  17. Clinical relevance of narrow-band imaging in flexible cystoscopy

    DEFF Research Database (Denmark)

    Drejer, Ditte; Béji, Sami; Munk Nielsen, Anna

    2017-01-01

    urological departments. Patients had either hematuria (n = 483) or known recurrent non-muscle-invasive bladder cancer (NMIBC) (n = 472). High-definition (HD) cystoscopy was performed in white light (WL) and a preliminary clinical decision was made. Then, a second cystoscopy was performed in NBI...... in NBI compared to WL (NBI: 100.0% vs WL: 83.2%, p decision making as a supplement to WL because it yields a significantly higher...... and a conclusive clinical decision was made. A difference between the two decisions that had a clinical impact on the patient was considered clinically relevant. RESULTS: Pathology was found in 216 WL cystoscopies, and additional pathology in 15 NBI cystoscopies (6.9%). Based on NBI, pathology was suspected in 23...

  18. Imaging the glutamatergic system in vivo - relevance to schizophrenia

    Energy Technology Data Exchange (ETDEWEB)

    Bressan, R.A.; Pilowsky, L.S. [Inst. of Psychiatry, London (United Kingdom); Inst. of Nuclear Medicine, University College of London Medical School (United Kingdom)

    2000-11-01

    Schizophrenia is a devastating psychiatric illness. Its pathophysiology is not fully clarified. Animal data, in vitro and indirect in vivo imaging support glutamatergic N-methyl-D-aspartate (NMDA) receptor hypofunction in the disorder. A lack of suitable ligands has obstructed direct evaluation of the NMDA receptor hypofunction hypothesis of schizophrenia. Many research groups are working towards developing appropriate single-photon emission tomography and positron emission tomography ligands for the NMDA receptor. This paper briefly presents evidence for links between glutamatergic system dysfunction and schizophrenia. It reviews the radioligands to evaluate glutamatergic receptors in vivo and discusses issues in developing novel ligands for the glutamatergic system. (orig.)

  19. Imaging the glutamatergic system in vivo - relevance to schizophrenia

    International Nuclear Information System (INIS)

    Bressan, R.A.; Pilowsky, L.S.

    2000-01-01

    Schizophrenia is a devastating psychiatric illness. Its pathophysiology is not fully clarified. Animal data, in vitro and indirect in vivo imaging support glutamatergic N-methyl-D-aspartate (NMDA) receptor hypofunction in the disorder. A lack of suitable ligands has obstructed direct evaluation of the NMDA receptor hypofunction hypothesis of schizophrenia. Many research groups are working towards developing appropriate single-photon emission tomography and positron emission tomography ligands for the NMDA receptor. This paper briefly presents evidence for links between glutamatergic system dysfunction and schizophrenia. It reviews the radioligands to evaluate glutamatergic receptors in vivo and discusses issues in developing novel ligands for the glutamatergic system. (orig.)

  20. HIDING TEXT IN DIGITAL IMAGES USING PERMUTATION ORDERING AND COMPACT KEY BASED DICTIONARY

    Directory of Open Access Journals (Sweden)

    Nagalinga Rajan

    2017-05-01

    Full Text Available Digital image steganography is an emerging technique in secure communication for the modern connected world. It protects the content of the message without arousing suspicion in a passive observer. A novel steganography method is presented to hide text in digital images. A compact dictionary is designed to efficiently communicate all types of secret messages. The sorting order of pixels in image blocks are chosen as the carrier of embedded information. The high correlation in image pixel values means reordering within image blocks do not cause high distortion. The image is divided into blocks and perturbed to create non repeating sequences of intensity values. These values are then sorted according to the message. At the receiver end, the message is read from the sorting order of the pixels in image blocks. Only those image blocks with standard deviation lesser than a given threshold are chosen for embedding to alleviate visual distortion. Information Security is provided by shuffling the dictionary according to a shared key. Experimental Results and Analysis show that the method is capable of hiding text with more than 4000 words in a 512×512 grayscale image with a peak signal to noise ratio above 40 decibels.

  1. Visual Communication – The Text-Image Relationships in Günter Grass’ Novel Der Butt

    Directory of Open Access Journals (Sweden)

    Bargan Andrea

    2016-11-01

    Full Text Available We are living in an age of visual communication, where the image has taken over the first place as primary message carrier. The concept of “visual communication” has been often discussed not only in literary science but also in text linguistics, pragmatics and discourse analysis. The issue of text-image connections and of “visual writing” as well as the fact that our time appears to stand for a technological and digital revolution have also led to the emergence of a new branch in text linguistics namely, visual communication linguistics.

  2. Investigation of eating disorders in cancer patients and its relevance with body image

    Directory of Open Access Journals (Sweden)

    Seyyed Abbas Hossein

    2015-01-01

    Full Text Available Background: Eating disorder is one of the most common health problems with clinical and psychological consequences, which can affect body image in cancer patients. Similar studies in this area for checking the status of this disorder and its relevance with body image in patients with cancer are limited. Therefore, this study was designed with the aim of determination of eating disorders in patients with cancer and their relevance with body image. Materials and Methods: The research was a cross-correlation study. It was carried out in Sayed-Al-Shohada Hospital affiliated to the Isfahan University of Medical Sciences in 2013. Two hundred and ten patients with cancer were selected and were asked tocomplete the demographic and disease characteristics questionnaire, the Multidimensional Body-Self Relations Questionnaire (MBSRQ, and eating disorders questionnaire. SPSS statistical software, version 14 was used for statistical analysis′-Test, analysis of variance (ANOVA, and Pearson correlation coefficient were used for analyzing the obtained data. Results: The mean values of age, body mass index (BMI, and duration of illness were 48.2 ± 13.20 years, 24.6 ± 4.6kg/m 2 , and 25.64 ± 21.24months, respectively. Most patients were married (87%, without university education (96%, unemployed (67%, and with incomes below their requirement (52%. Most patients were diagnosed with breast cancer (36.5%. They received chemotherapy as the main treatment (56.2%. In addition, mean ± SD of eating disorders and body image were 12.84 ± 4.7 and184.40 ± 43.68, respectively. Also, 49.7% of patients with cancer had an eating disorder. Among these, 29% had experiences of anorexia and 20.7% had bulimia. There was a significant negative correlation between the score of body image and eating disorders (r = −0.47, P = 0.01. Conclusions: Findings of this study showed that most patients with cancer had experienced symptoms of eating disorders. This may lead to a negative

  3. A content analysis of thinspiration images and text posts on Tumblr.

    Science.gov (United States)

    Wick, Madeline R; Harriger, Jennifer A

    2018-03-01

    Thinspiration is content advocating extreme weight loss by means of images and/or text posts. While past content analyses have examined thinspiration content on social media and other websites, no research to date has examined thinspiration content on Tumblr. Over the course of a week, 222 images and text posts were collected after entering the keyword 'thinspiration' into the Tumblr search bar. These images were then rated on a variety of characteristics. The majority of thinspiration images included a thin woman adhering to culturally based beauty, often posing in a manner that accentuated her thinness or sexuality. The most common themes for thinspiration text posts included dieting/restraint, weight loss, food guilt, and body guilt. The thinspiration content on Tumblr appears to be consistent with that on other mediums. Future research should utilize experimental methods to examine the potential effects of consuming thinspiration content on Tumblr. Copyright © 2017 Elsevier Ltd. All rights reserved.

  4. Visual Communication – The Text-Image Relationships in Günter Grass’ Novel Der Butt

    OpenAIRE

    Bargan Andrea

    2016-01-01

    We are living in an age of visual communication, where the image has taken over the first place as primary message carrier. The concept of “visual communication” has been often discussed not only in literary science but also in text linguistics, pragmatics and discourse analysis. The issue of text-image connections and of “visual writing” as well as the fact that our time appears to stand for a technological and digital revolution have also led to the emergence of a new branch in text linguis...

  5. Fuzzy-Based Segmentation for Variable Font-Sized Text Extraction from Images/Videos

    Directory of Open Access Journals (Sweden)

    Samabia Tehsin

    2014-01-01

    Full Text Available Textual information embedded in multimedia can provide a vital tool for indexing and retrieval. A lot of work is done in the field of text localization and detection because of its very fundamental importance. One of the biggest challenges of text detection is to deal with variation in font sizes and image resolution. This problem gets elevated due to the undersegmentation or oversegmentation of the regions in an image. The paper addresses this problem by proposing a solution using novel fuzzy-based method. This paper advocates postprocessing segmentation method that can solve the problem of variation in text sizes and image resolution. The methodology is tested on ICDAR 2011 Robust Reading Challenge dataset which amply proves the strength of the recommended method.

  6. Basics and principles of particle image velocimetry (PIV) for mapping biogenic and biologically relevant flows

    NARCIS (Netherlands)

    Stamhuis, Eize J.

    2006-01-01

    Particle image velocimetry (PIV) has proven to be a very useful technique in mapping animal-generated flows or flow patterns relevant to biota. Here, theoretical background is provided and experimental details of 2-dimensional digital PIV are explained for mapping flow produced by or relevant to

  7. Text and images: relations in illustrated book for children with visual impairment

    Directory of Open Access Journals (Sweden)

    Tássia Ruiz

    2014-12-01

    Full Text Available Exploratory, the paper presents and discusses the response of children with visual impairment on the illustrated children’s book, analyzing how to establish relationships and dialogue between text and image support in the book from the perspective of non- visual , mainly in concerns the cognitive feature and the specific conditions of visual impairment . This study is justified by the importance that access to different languages ( image and text , added to the literary function of fictional narrative can provide the Bantam player, as well as access to imaging and its meaning to the reader , there is still the possibility include children with visual impairment in the literary universe in a field whose intricate set of languages provides the reader with a multiplicity of meanings that can take children’s reader to find new ways to relate to the world . The method used here , interview - conversation ( SARAMAGO , 2001 , questions blind and low vision between 10 and 14 years Londrinense Institute of Education and Work for the Blind of Londrina / PR on the relationship between image and text children during reading two illustrated works adapted : forgotten Adelia Adelia and dreamy, both selected by the diversity of graphical features ( smooth textures , flocked , granular , etc. used in the translation of images for relief . The aim is to compare two aspects equivalences and differences between reading narratives that rely on graphics to convey its essential message and that can easily be understood only by the text in order to verify that an integration or fragmentation of languages that exist on integrating image text - in the context of visual impairment . Results indicate that the experience of reading is complexed in each book , unique to each turn of the page and predominantly verbal. However, typologies act as effective parameter for understanding the various relationships between image and text observed during the interview and awaken

  8. Optics design for J-TEXT ECE imaging with field curvature adjustment lens

    Energy Technology Data Exchange (ETDEWEB)

    Zhu, Y.; Zhao, Z.; Liu, W. D.; Xie, J., E-mail: jlxie@ustc.edu.cn [School of Physics, University of Science and Technology of China, Anhui 230026 (China); Hu, X.; Muscatello, C. M.; Domier, C. W.; Luhmann, N. C.; Chen, M.; Ren, X. [University of California at Davis, Davis, California 95616 (United States); Tobias, B. J. [Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543 (United States); Zhuang, G.; Yang, Z. [College of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074 (China)

    2014-11-15

    Significant progress has been made in the imaging and visualization of magnetohydrodynamic and microturbulence phenomena in magnetic fusion plasmas. Of particular importance has been microwave electron cyclotron emission imaging (ECEI) for imaging T{sub e} fluctuations. Key to the success of ECEI is a large Gaussian optics system constituting a major portion of the focusing of the microwave radiation from the plasma to the detector array. Both the spatial resolution and observation range are dependent upon the imaging optics system performance. In particular, it is critical that the field curvature on the image plane is reduced to decrease crosstalk between vertical channels. The receiver optics systems for two ECEI on the J-TEXT device have been designed to ameliorate these problems and provide good performance with additional field curvature adjustment lenses with a meniscus shape to correct the aberrations from several spherical surfaces.

  9. Segmenting texts from outdoor images taken by mobile phones using color features

    Science.gov (United States)

    Liu, Zongyi; Zhou, Hanning

    2011-01-01

    Recognizing texts from images taken by mobile phones with low resolution has wide applications. It has been shown that a good image binarization can substantially improve the performances of OCR engines. In this paper, we present a framework to segment texts from outdoor images taken by mobile phones using color features. The framework consists of three steps: (i) the initial process including image enhancement, binarization and noise filtering, where we binarize the input images in each RGB channel, and apply component level noise filtering; (ii) grouping components into blocks using color features, where we compute the component similarities by dynamically adjusting the weights of RGB channels, and merge groups hierachically, and (iii) blocks selection, where we use the run-length features and choose the Support Vector Machine (SVM) as the classifier. We tested the algorithm using 13 outdoor images taken by an old-style LG-64693 mobile phone with 640x480 resolution. We compared the segmentation results with Tsar's algorithm, a state-of-the-art camera text detection algorithm, and show that our algorithm is more robust, particularly in terms of the false alarm rates. In addition, we also evaluated the impacts of our algorithm on the Abbyy's FineReader, one of the most popular commercial OCR engines in the market.

  10. Rotation-invariant features for multi-oriented text detection in natural images.

    Directory of Open Access Journals (Sweden)

    Cong Yao

    Full Text Available Texts in natural scenes carry rich semantic information, which can be used to assist a wide range of applications, such as object recognition, image/video retrieval, mapping/navigation, and human computer interaction. However, most existing systems are designed to detect and recognize horizontal (or near-horizontal texts. Due to the increasing popularity of mobile-computing devices and applications, detecting texts of varying orientations from natural images under less controlled conditions has become an important but challenging task. In this paper, we propose a new algorithm to detect texts of varying orientations. Our algorithm is based on a two-level classification scheme and two sets of features specially designed for capturing the intrinsic characteristics of texts. To better evaluate the proposed method and compare it with the competing algorithms, we generate a comprehensive dataset with various types of texts in diverse real-world scenes. We also propose a new evaluation protocol, which is more suitable for benchmarking algorithms for detecting texts in varying orientations. Experiments on benchmark datasets demonstrate that our system compares favorably with the state-of-the-art algorithms when handling horizontal texts and achieves significantly enhanced performance on variant texts in complex natural scenes.

  11. Fast words boundaries localization in text fields for low quality document images

    Science.gov (United States)

    Ilin, Dmitry; Novikov, Dmitriy; Polevoy, Dmitry; Nikolaev, Dmitry

    2018-04-01

    The paper examines the problem of word boundaries precise localization in document text zones. Document processing on a mobile device consists of document localization, perspective correction, localization of individual fields, finding words in separate zones, segmentation and recognition. While capturing an image with a mobile digital camera under uncontrolled capturing conditions, digital noise, perspective distortions or glares may occur. Further document processing gets complicated because of its specifics: layout elements, complex background, static text, document security elements, variety of text fonts. However, the problem of word boundaries localization has to be solved at runtime on mobile CPU with limited computing capabilities under specified restrictions. At the moment, there are several groups of methods optimized for different conditions. Methods for the scanned printed text are quick but limited only for images of high quality. Methods for text in the wild have an excessively high computational complexity, thus, are hardly suitable for running on mobile devices as part of the mobile document recognition system. The method presented in this paper solves a more specialized problem than the task of finding text on natural images. It uses local features, a sliding window and a lightweight neural network in order to achieve an optimal algorithm speed-precision ratio. The duration of the algorithm is 12 ms per field running on an ARM processor of a mobile device. The error rate for boundaries localization on a test sample of 8000 fields is 0.3

  12. Text and Image of Advertising in Nigeria: An Enterprise of Socio-Cultural Reproduction

    Directory of Open Access Journals (Sweden)

    Taofeek Dalamu

    2016-12-01

    Full Text Available The role of language in the construction of socio-cultural reality is inevitable. That is why text is used as a pillar that supports the explication of the intended purpose of images applied in multifaceted ad plates. It is a phenomenal tradition that has remained strong in ad campaigns. Advertisers make images and text as discrete components that are inseparable. Images and texts are sedimentary devices in ads, which we can consider as the social position that motivates this enquiry. After the selection of ten ads from various social strata, semiotics viewed from the stances of Saussure and Peirce has been applied along with social semiotics to analyze the ads. The study reveals that ads and advertisers are keen to the promotion of culture with the use of images with textual collaboration. Reference to antiquity has been exposed as a very useful material in ads because it fascinates the public by reproducing their about-to-be-forgotten cultural heritage. Social exercises in the ads create side attractions that lead to assorted photographic entertainment. Besides boosting the audience social knowledge, socio-cultural reproduction experienced in ads can propel the concerned agencies to repackage our cultural beauties as a means of economic growth and emancipation. Keywords: Advertising, Consumer, Language Function, Social System, Semiotics

  13. The Image of the Negro in Deep South Public School State History Texts.

    Science.gov (United States)

    McLaurin, Melton

    This report reviews the image portrayed of the Negro, in textbooks used in the deep South. Slavery is painted as a cordial, humane system under kindly masters and the Negro as docile and childlike. Although the treatment of the modern era is relatively more objective, the texts, on the whole, evade treatment of the Civil Rights struggle, violence,…

  14. Object Attention Patches for Text Detection and Recognition in Scene Images using SIFT

    NARCIS (Netherlands)

    Sriman, Bowornrat; Schomaker, Lambertus; De Marsico, Maria; Figueiredo, Mário; Fred, Ana

    2015-01-01

    Natural urban scene images contain many problems for character recognition such as luminance noise, varying font styles or cluttered backgrounds. Detecting and recognizing text in a natural scene is a difficult problem. Several techniques have been proposed to overcome these problems. These are,

  15. Automatic classification and detection of clinically relevant images for diabetic retinopathy

    Science.gov (United States)

    Xu, Xinyu; Li, Baoxin

    2008-03-01

    We proposed a novel approach to automatic classification of Diabetic Retinopathy (DR) images and retrieval of clinically-relevant DR images from a database. Given a query image, our approach first classifies the image into one of the three categories: microaneurysm (MA), neovascularization (NV) and normal, and then it retrieves DR images that are clinically-relevant to the query image from an archival image database. In the classification stage, the query DR images are classified by the Multi-class Multiple-Instance Learning (McMIL) approach, where images are viewed as bags, each of which contains a number of instances corresponding to non-overlapping blocks, and each block is characterized by low-level features including color, texture, histogram of edge directions, and shape. McMIL first learns a collection of instance prototypes for each class that maximizes the Diverse Density function using Expectation- Maximization algorithm. A nonlinear mapping is then defined using the instance prototypes and maps every bag to a point in a new multi-class bag feature space. Finally a multi-class Support Vector Machine is trained in the multi-class bag feature space. In the retrieval stage, we retrieve images from the archival database who bear the same label with the query image, and who are the top K nearest neighbors of the query image in terms of similarity in the multi-class bag feature space. The classification approach achieves high classification accuracy, and the retrieval of clinically-relevant images not only facilitates utilization of the vast amount of hidden diagnostic knowledge in the database, but also improves the efficiency and accuracy of DR lesion diagnosis and assessment.

  16. Annotating image ROIs with text descriptions for multimodal biomedical document retrieval

    Science.gov (United States)

    You, Daekeun; Simpson, Matthew; Antani, Sameer; Demner-Fushman, Dina; Thoma, George R.

    2013-01-01

    Regions of interest (ROIs) that are pointed to by overlaid markers (arrows, asterisks, etc.) in biomedical images are expected to contain more important and relevant information than other regions for biomedical article indexing and retrieval. We have developed several algorithms that localize and extract the ROIs by recognizing markers on images. Cropped ROIs then need to be annotated with contents describing them best. In most cases accurate textual descriptions of the ROIs can be found from figure captions, and these need to be combined with image ROIs for annotation. The annotated ROIs can then be used to, for example, train classifiers that separate ROIs into known categories (medical concepts), or to build visual ontologies, for indexing and retrieval of biomedical articles. We propose an algorithm that pairs visual and textual ROIs that are extracted from images and figure captions, respectively. This algorithm based on dynamic time warping (DTW) clusters recognized pointers into groups, each of which contains pointers with identical visual properties (shape, size, color, etc.). Then a rule-based matching algorithm finds the best matching group for each textual ROI mention. Our method yields a precision and recall of 96% and 79%, respectively, when ground truth textual ROI data is used.

  17. A fast image encryption algorithm based on only blocks in cipher text

    Science.gov (United States)

    Wang, Xing-Yuan; Wang, Qian

    2014-03-01

    In this paper, a fast image encryption algorithm is proposed, in which the shuffling and diffusion is performed simultaneously. The cipher-text image is divided into blocks and each block has k ×k pixels, while the pixels of the plain-text are scanned one by one. Four logistic maps are used to generate the encryption key stream and the new place in the cipher image of plain image pixels, including the row and column of the block which the pixel belongs to and the place where the pixel would be placed in the block. After encrypting each pixel, the initial conditions of logistic maps would be changed according to the encrypted pixel's value; after encrypting each row of plain image, the initial condition would also be changed by the skew tent map. At last, it is illustrated that this algorithm has a faster speed, big key space, and better properties in withstanding differential attacks, statistical analysis, known plaintext, and chosen plaintext attacks.

  18. A fast image encryption algorithm based on only blocks in cipher text

    International Nuclear Information System (INIS)

    Wang Xing-Yuan; Wang Qian

    2014-01-01

    In this paper, a fast image encryption algorithm is proposed, in which the shuffling and diffusion is performed simultaneously. The cipher-text image is divided into blocks and each block has k ×k pixels, while the pixels of the plain-text are scanned one by one. Four logistic maps are used to generate the encryption key stream and the new place in the cipher image of plain image pixels, including the row and column of the block which the pixel belongs to and the place where the pixel would be placed in the block. After encrypting each pixel, the initial conditions of logistic maps would be changed according to the encrypted pixel's value; after encrypting each row of plain image, the initial condition would also be changed by the skew tent map. At last, it is illustrated that this algorithm has a faster speed, big key space, and better properties in withstanding differential attacks, statistical analysis, known plaintext, and chosen plaintext attacks

  19. Font attributes based text steganographic algorithm (FATS) for communicating images. A nuclear power plant perspective

    Energy Technology Data Exchange (ETDEWEB)

    Krishnan, R. Bala [Indira Gandhi Centre for Atomic Research, Kalpakkam (India). Computer Division; Thandra, Prasanth Kumar; Murty, S.A.V. Satya [Indira Gandhi Centre for Atomic Research, Kalpakkam (India); Thiyagarajan, P. [Central Univ. of Tamil Nadu, Thiruvarur (India). Dept. of Computer Science

    2017-03-15

    Today even sensitive organizations like nuclear power plants are connected to the internet. As information security is of utmost priority to such organizations, achieving the same is a challenging task while using the public network like the internet. Though cryptography could be used to enhance the information security, it cannot hide its own presence from the attackers. This drawback lead security professionals to look for an alternate technique like steganography. Steganography hides the secret information, stealthily, inside another innocent looking cover medium like text, image, audio and video. Considering these, this paper proposes a novel text steganographic algorithm that embeds images as codes in the font attributes such as color, character spacing and kerning. The procedure of representing an image as codes makes the proposed method independent from the resolution of the image. Experiments were conducted by embedding diverse categories of images. A comparison with the best existing method depicted that the embedding capacity attained by the proposed method is higher at 1.59-bits/character, which suits best for low bandwidth environments. Various security aspects of the proposed method have also been discussed.

  20. Font attributes based text steganographic algorithm (FATS) for communicating images. A nuclear power plant perspective

    International Nuclear Information System (INIS)

    Krishnan, R. Bala; Thiyagarajan, P.

    2017-01-01

    Today even sensitive organizations like nuclear power plants are connected to the internet. As information security is of utmost priority to such organizations, achieving the same is a challenging task while using the public network like the internet. Though cryptography could be used to enhance the information security, it cannot hide its own presence from the attackers. This drawback lead security professionals to look for an alternate technique like steganography. Steganography hides the secret information, stealthily, inside another innocent looking cover medium like text, image, audio and video. Considering these, this paper proposes a novel text steganographic algorithm that embeds images as codes in the font attributes such as color, character spacing and kerning. The procedure of representing an image as codes makes the proposed method independent from the resolution of the image. Experiments were conducted by embedding diverse categories of images. A comparison with the best existing method depicted that the embedding capacity attained by the proposed method is higher at 1.59-bits/character, which suits best for low bandwidth environments. Various security aspects of the proposed method have also been discussed.

  1. Process Philosophy and the Text-Image Interface: A Study of Three Western Australian Botanical Illustrators

    Directory of Open Access Journals (Sweden)

    John Charles Ryan

    2012-12-01

    Full Text Available Botanical illustration combines scientific knowledge and artistic technique. However, whereas illustrated botanical images record static visual qualities, such as form and color, written botanical narratives supply crucial sensory, ecological, historical, and cultural contexts that complement visual representation. Understanding the text-image interface—where images and words intersect—contributes to humanities-based analyses of botanical illustration and illustrators. More specifically, a process philosophy perspective reveals the extent to which botanical representations engage the temporality, cyclicality, and contextuality of the living plants being illustrated. This article takes up these themes through a comparative theoretical study of three female Western Australian botanical illustrators, Georgiana Leake (1812–1869, Emily Pelloe (1877–1941, and Philippa Nikulinsky (born 1942, whose lives together span the 183 year history of the Swan River Colony and the state of Western Australia. I apply a processist framework to examine the text-image interface of their works. All three illustrators use some form of textuality: marginalia, annotations, written accompaniments, introductory statements, and other narrative materials. In examining their written commentaries and traces, I identify the emergence of a process mode of botanical illustration that represents plants as ecological, historical, cultural, and temporal organisms.

  2. Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals.

    Science.gov (United States)

    Kauppi, Jukka-Pekka; Kandemir, Melih; Saarinen, Veli-Matti; Hirvenkari, Lotta; Parkkonen, Lauri; Klami, Arto; Hari, Riitta; Kaski, Samuel

    2015-05-15

    We hypothesize that brain activity can be used to control future information retrieval systems. To this end, we conducted a feasibility study on predicting the relevance of visual objects from brain activity. We analyze both magnetoencephalographic (MEG) and gaze signals from nine subjects who were viewing image collages, a subset of which was relevant to a predetermined task. We report three findings: i) the relevance of an image a subject looks at can be decoded from MEG signals with performance significantly better than chance, ii) fusion of gaze-based and MEG-based classifiers significantly improves the prediction performance compared to using either signal alone, and iii) non-linear classification of the MEG signals using Gaussian process classifiers outperforms linear classification. These findings break new ground for building brain-activity-based interactive image retrieval systems, as well as for systems utilizing feedback both from brain activity and eye movements. Copyright © 2015 Elsevier Inc. All rights reserved.

  3. The Effect of Text Materials with Relevant Language, Illustrations and Content Upon the Reading Achievement and Reading Preference (Attitude) of Black Primary and Intermediate Inner-City Students.

    Science.gov (United States)

    Grant, Gloria W.

    The purpose of this study was to examine the effect of text materials with relevant language, illustrations, and content upon the reading achievement and reading preference (attitude) of black primary and intermediate grade inner-city students. The subjects for the study were 330 black students enrolled in three schools in a large urban area. A…

  4. Retrieving clinically relevant diabetic retinopathy images using a multi-class multiple-instance framework

    Science.gov (United States)

    Chandakkar, Parag S.; Venkatesan, Ragav; Li, Baoxin

    2013-02-01

    Diabetic retinopathy (DR) is a vision-threatening complication from diabetes mellitus, a medical condition that is rising globally. Unfortunately, many patients are unaware of this complication because of absence of symptoms. Regular screening of DR is necessary to detect the condition for timely treatment. Content-based image retrieval, using archived and diagnosed fundus (retinal) camera DR images can improve screening efficiency of DR. This content-based image retrieval study focuses on two DR clinical findings, microaneurysm and neovascularization, which are clinical signs of non-proliferative and proliferative diabetic retinopathy. The authors propose a multi-class multiple-instance image retrieval framework which deploys a modified color correlogram and statistics of steerable Gaussian Filter responses, for retrieving clinically relevant images from a database of DR fundus image database.

  5. La Rencontre à la Porte dorée. Image, texte et contexte

    Directory of Open Access Journals (Sweden)

    Réjane Gay-Canton

    2012-04-01

    Full Text Available À travers l’analyse d’une série de manuscrits allemands illustrés entre le dernier quart du xive siècle et la seconde moitié du xve siècle, l’essai montre que seules de rares images de la Rencontre d’Anne et Joachim à la Porte dorée renvoient à l’Immaculée Conception. Lors de son intégration à la Weltchronik de Heinrich von München et à la Historienbibel, le Marienleben de Bruder Philipp conserve sa position maculiste. Mais dans le second texte, l’image de la Rencontre à la Porte dorée prend une signification différente par l’ajout ou la suppression d’un titulus mentionnant le baiser fécondant. Après avoir observé les résonnances de ces changements sur l’image et souligné l’indépendance de cette dernière face au texte narratif comme à la doctrine théologique, l’essai revient sur l’origine de l’idée du baiser fécondant. Il indique qu’elle n’est ni directement issue des premiers textes littéraires de la conception de Marie que sont les récits apocryphes chrétiens, ni des développements théologiques, mais bien d’un amalgame entre ces deux supports et l’image de la Rencontre à la Porte dorée. L’idée du baiser fécondant reste le propre des illitterati qui trouvèrent en elle un moyen de contourner la théorie augustienne de la transmission du péché originel en attribuant à la future mère de Dieu une conception exempte de toute concupiscence charnelle. Lue sous ce prisme, l’image devient le lieu de projection de l’image mentale. Elle est alors chargée d’un sens nouveau et vient dialoguer avec le texte qu’elle n’illustre plus, mais dont elle offre une lecture parallèle. Au final, seule sa mise en contexte permet de déterminer, au cas par cas, si l’image de la Rencontre renvoie au baiser fécondant et ainsi à l’Immaculée Conception.By analysing a series of illustrated German manuscripts between the last quarter of the xivth century and the second half of the

  6. Form and function in hillslope hydrology: in situ imaging and characterization of flow-relevant structures

    Directory of Open Access Journals (Sweden)

    C. Jackisch

    2017-07-01

    Full Text Available The study deals with the identification and characterization of rapid subsurface flow structures through pedo- and geo-physical measurements and irrigation experiments at the point, plot and hillslope scale. Our investigation of flow-relevant structures and hydrological responses refers to the general interplay of form and function, respectively. To obtain a holistic picture of the subsurface, a large set of different laboratory, exploratory and experimental methods was used at the different scales. For exploration these methods included drilled soil core profiles, in situ measurements of infiltration capacity and saturated hydraulic conductivity, and laboratory analyses of soil water retention and saturated hydraulic conductivity. The irrigation experiments at the plot scale were monitored through a combination of dye tracer, salt tracer, soil moisture dynamics, and 3-D time-lapse ground penetrating radar (GPR methods. At the hillslope scale the subsurface was explored by a 3-D GPR survey. A natural storm event and an irrigation experiment were monitored by a dense network of soil moisture observations and a cascade of 2-D time-lapse GPR trenches. We show that the shift between activated and non-activated state of the flow paths is needed to distinguish structures from overall heterogeneity. Pedo-physical analyses of point-scale samples are the basis for sub-scale structure inference. At the plot and hillslope scale 3-D and 2-D time-lapse GPR applications are successfully employed as non-invasive means to image subsurface response patterns and to identify flow-relevant paths. Tracer recovery and soil water responses from irrigation experiments deliver a consistent estimate of response velocities. The combined observation of form and function under active conditions provides the means to localize and characterize the structures (this study and the hydrological processes (companion study Angermann et al., 2017, this issue.

  7. The Relevance Voxel Machine (RVoxM): A Bayesian Method for Image-Based Prediction

    DEFF Research Database (Denmark)

    Sabuncu, Mert R.; Van Leemput, Koen

    2011-01-01

    This paper presents the Relevance VoxelMachine (RVoxM), a Bayesian multivariate pattern analysis (MVPA) algorithm that is specifically designed for making predictions based on image data. In contrast to generic MVPA algorithms that have often been used for this purpose, the method is designed to ...

  8. On Feature Relevance in Image-Based Prediction Models: An Empirical Study

    DEFF Research Database (Denmark)

    Konukoglu, E.; Ganz, Melanie; Van Leemput, Koen

    2013-01-01

    Determining disease-related variations of the anatomy and function is an important step in better understanding diseases and developing early diagnostic systems. In particular, image-based multivariate prediction models and the “relevant features” they produce are attracting attention from the co...

  9. Automatic Methods in Image Processing and Their Relevance to Map-Making.

    Science.gov (United States)

    1981-02-11

    folding fre- quency = .5) and s is the "shaoing fac- tor" which controls the spatial frequency content of the signal; the signal band- width increases...ARIZONA UNIV TUCSON DIGITAL IAgE ANALYSIS LAB Iris 8/ 2AUTOMATIC METHOOS IN IMAGE PROCESSING AND THEIR RELEVANCE TO MA-.ETC~tl;FEB 1 S R HUNT DAA629

  10. Understanding Magnetic Resonance Imaging of Knee Cartilage Repair: A Focus on Clinical Relevance.

    Science.gov (United States)

    Hayashi, Daichi; Li, Xinning; Murakami, Akira M; Roemer, Frank W; Trattnig, Siegfried; Guermazi, Ali

    2017-06-01

    The aims of this review article are (a) to describe the principles of morphologic and compositional magnetic resonance imaging (MRI) techniques relevant for the imaging of knee cartilage repair surgery and their application to longitudinal studies and (b) to illustrate the clinical relevance of pre- and postsurgical MRI with correlation to intraoperative images. First, MRI sequences that can be applied for imaging of cartilage repair tissue in the knee are described, focusing on comparison of 2D and 3D fast spin echo and gradient recalled echo sequences. Imaging features of cartilage repair tissue are then discussed, including conventional (morphologic) MRI and compositional MRI techniques. More specifically, imaging techniques for specific cartilage repair surgery techniques as described above, as well as MRI-based semiquantitative scoring systems for the knee cartilage repair tissue-MR Observation of Cartilage Repair Tissue and Cartilage Repair OA Knee Score-are explained. Then, currently available surgical techniques are reviewed, including marrow stimulation, osteochondral autograft, osteochondral allograft, particulate cartilage allograft, autologous chondrocyte implantation, and others. Finally, ongoing research efforts and future direction of cartilage repair tissue imaging are discussed.

  11. Page segmentation and text extraction from gray-scale images in microfilm format

    Science.gov (United States)

    Yuan, Qing; Tan, Chew Lim

    2000-12-01

    The paper deals with a suitably designed system that is being used to separate textual regions from graphics regions and locate textual data from textured background. We presented a method based on edge detection to automatically locate text in some noise infected grayscale newspaper images with microfilm format. The algorithm first finds the appropriate edges of textual region using Canny edge detector, and then by edge merging it makes use of edge features to do block segmentation and classification, afterwards feature aided connected component analysis was used to group homogeneous textual regions together within the scope of its bounding box. We can obtain an efficient block segmentation with reduced memory size by introducing the TLC. The proposed method has been used to locate text in a group of newspaper images with multiple page layout. Initial results are encouraging, we would expand the experiment data to over 300 microfilm images with different layout structures, promising result is anticipated with corresponding modification on the prototype of former algorithm to make it more robust and suitable to different cases.

  12. Stochastic Optimized Relevance Feedback Particle Swarm Optimization for Content Based Image Retrieval

    Directory of Open Access Journals (Sweden)

    Muhammad Imran

    2014-01-01

    Full Text Available One of the major challenges for the CBIR is to bridge the gap between low level features and high level semantics according to the need of the user. To overcome this gap, relevance feedback (RF coupled with support vector machine (SVM has been applied successfully. However, when the feedback sample is small, the performance of the SVM based RF is often poor. To improve the performance of RF, this paper has proposed a new technique, namely, PSO-SVM-RF, which combines SVM based RF with particle swarm optimization (PSO. The aims of this proposed technique are to enhance the performance of SVM based RF and also to minimize the user interaction with the system by minimizing the RF number. The PSO-SVM-RF was tested on the coral photo gallery containing 10908 images. The results obtained from the experiments showed that the proposed PSO-SVM-RF achieved 100% accuracy in 8 feedback iterations for top 10 retrievals and 80% accuracy in 6 iterations for 100 top retrievals. This implies that with PSO-SVM-RF technique high accuracy rate is achieved at a small number of iterations.

  13. A Novel Relevance Feedback Approach Based on Similarity Measure Modification in an X-Ray Image Retrieval System Based on Fuzzy Representation Using Fuzzy Attributed Relational Graph

    Directory of Open Access Journals (Sweden)

    Hossien Pourghassem

    2011-04-01

    Full Text Available Relevance feedback approaches is used to improve the performance of content-based image retrieval systems. In this paper, a novel relevance feedback approach based on similarity measure modification in an X-ray image retrieval system based on fuzzy representation using fuzzy attributed relational graph (FARG is presented. In this approach, optimum weight of each feature in feature vector is calculated using similarity rate between query image and relevant and irrelevant images in user feedback. The calculated weight is used to tune fuzzy graph matching algorithm as a modifier parameter in similarity measure. The standard deviation of the retrieved image features is applied to calculate the optimum weight. The proposed image retrieval system uses a FARG for representation of images, a fuzzy matching graph algorithm as similarity measure and a semantic classifier based on merging scheme for determination of the search space in image database. To evaluate relevance feedback approach in the proposed system, a standard X-ray image database consisting of 10000 images in 57 classes is used. The improvement of the evaluation parameters shows proficiency and efficiency of the proposed system.

  14. WIKIMEDIA: integration of text and image in the journalism teaching process

    Directory of Open Access Journals (Sweden)

    Rosana de Lima Soares

    2011-06-01

    Full Text Available In this paper we present a pedagogical project conceived to propitiate connectivity and incentive creativity, within language studies conducted on the undergraduate level. We work with the supposition that both processes are related and represent the necessary condition for freedom of speech. As educators, we understand the importance of creativity for knowledge acquisition, fixation and development in the learning processes. We comprehend as well that connectivity between students is an enriching exchange and that connectivity between students and media, as an access to what comes to light through human practices, is fundamental for the building of knowledge. According to this pedagogical viewpoint and corresponding to our goals – the receptivity to diverse expression forms, the combination of theory and practice, the production and the analysis of discourses circulating in the media – the digital technologies were taken as the appropriate response, given that they provide tools for the convergence and integration of different media, combining image, sound and writing, in the form of hypermedia. We created media wiki pages for each class, in order to provide a working space for interlocution and for text production following the steps of the new tools. In addition, a reflection on online journalism processes and challenges was developed, considering the confluence of images and texts.

  15. Wikimedia: integration of text and image in the journalism teaching process

    Directory of Open Access Journals (Sweden)

    Mayra Rodrigues Gomes

    2011-06-01

    Full Text Available In this paper we present a pedagogical project conceived to propitiate connectivity and incentive creativity, within language studies conducted on the undergraduate level. We work with the supposition that both processes are related and represent the necessary condition for freedom of speech. As educators, we understand the importance of creativity for knowledge acquisition, fixation and development in the learning processes. We comprehend as well that connectivity between students is an enriching exchange and that connectivity between students and media, as an access to what comes to light through human practices, is fundamental for the building of knowledge. According to this pedagogical viewpoint and corresponding to our goals – the receptivity to diverse expression forms, the combination of theory and practice, the production and the analysis of discourses circulating in the media – the digital technologies were taken as the appropriate response, given that they provide tools for the convergence and integration of different media, combining image, sound and writing, in the form of hypermedia. We created media wiki pages for each class, in order to provide a working space for interlocution and for text production following the steps of the new tools. In addition, a reflection on online journalism processes and challenges was developed, considering the confluence of images and texts.

  16. Design of the 2D electron cyclotron emission imaging instrument for the J-TEXT tokamak.

    Science.gov (United States)

    Pan, X M; Yang, Z J; Ma, X D; Zhu, Y L; Luhmann, N C; Domier, C W; Ruan, B W; Zhuang, G

    2016-11-01

    A new 2D Electron Cyclotron Emission Imaging (ECEI) diagnostic is being developed for the J-TEXT tokamak. It will provide the 2D electron temperature information with high spatial, temporal, and temperature resolution. The new ECEI instrument is being designed to support fundamental physics investigations on J-TEXT including MHD, disruption prediction, and energy transport. The diagnostic contains two dual dipole antenna arrays corresponding to F band (90-140 GHz) and W band (75-110 GHz), respectively, and comprises a total of 256 channels. The system can observe the same magnetic surface at both the high field side and low field side simultaneously. An advanced optical system has been designed which permits the two arrays to focus on a wide continuous region or two radially separate regions with high imaging spatial resolution. It also incorporates excellent field curvature correction with field curvature adjustment lenses. An overview of the diagnostic and the technical progress including the new remote control technique are presented.

  17. Design of the 2D electron cyclotron emission imaging instrument for the J-TEXT tokamak

    Energy Technology Data Exchange (ETDEWEB)

    Pan, X. M.; Yang, Z. J., E-mail: yangzj@hust.edu.cn; Ma, X. D.; Ruan, B. W.; Zhuang, G. [State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074 (China); Zhu, Y. L. [School of Physics, University of Science and Technology of China, Anhui 230026 (China); Luhmann, N. C.; Domier, C. W. [Davis Millimeter Wave Research Center, University of California, Davis, California 95616 (United States)

    2016-11-15

    A new 2D Electron Cyclotron Emission Imaging (ECEI) diagnostic is being developed for the J-TEXT tokamak. It will provide the 2D electron temperature information with high spatial, temporal, and temperature resolution. The new ECEI instrument is being designed to support fundamental physics investigations on J-TEXT including MHD, disruption prediction, and energy transport. The diagnostic contains two dual dipole antenna arrays corresponding to F band (90-140 GHz) and W band (75-110 GHz), respectively, and comprises a total of 256 channels. The system can observe the same magnetic surface at both the high field side and low field side simultaneously. An advanced optical system has been designed which permits the two arrays to focus on a wide continuous region or two radially separate regions with high imaging spatial resolution. It also incorporates excellent field curvature correction with field curvature adjustment lenses. An overview of the diagnostic and the technical progress including the new remote control technique are presented.

  18. Towards Intelligible Query Processing in Relevance Feedback-Based Image Retrieval Systems

    OpenAIRE

    Mohammed, Belkhatir

    2008-01-01

    We have specified within the scope of this paper a framework combining semantics and relational (spatial) characterizations within a coupled architecture in order to address the semantic gap. This framework is instantiated by an operational model based on a sound logic-based formalism, allowing to define a representation for image documents and a matching function to compare index and query structures. We have specified a query framework coupling keyword-based querying with a relevance feedba...

  19. Assessing the body image: relevance, application and instruments for oncological settings.

    Science.gov (United States)

    Annunziata, Maria Antonietta; Giovannini, Lorena; Muzzatti, Barbara

    2012-05-01

    Body image is the sum of physical, cognitive, emotional, and relational elements that, when integrated, allow the development of a whole, healthy self-identity. Even though body image is normally studied in relation to eating disorders, it can also be influenced by other pathologies, including cancer. In oncology, an effective body image assessment is fundamental. The physical effects of cancer and cancer treatments are important and frequently irreversible also on a functional and emotional level; however, only few surveys have investigated body image in this peculiar context. An extensive literature review was carried out in PubMed and PsycINFO. We considered articles published from 1990 to 2010. Two hundred sixty-three papers matched the search criteria. Assessment methodologies included clinical interviews, self-report measures, questionnaires, symptom check lists, and graphic tests and projective techniques. After excluding the instruments that referred to eating disorders, validated only for adolescents, and/or projective and graphic tests, we found 81 articles with six questionnaires specifically dedicated to body image assessment in oncology. From our systematic review, we could identify six instruments specifically designed for assessing body image in the oncological area. In this paper, we discuss their general characteristics, psychometrics properties and the clinical implications, and body image relevance on the quality of life in cancer patients.

  20. UNDERSTANDING AND PERCEPTION OF THE CHARACTER IMAGE BY PRIMARY SCHOOLCHILDREN IN THE PROCESS OF TEXT INTERPRETATION

    Directory of Open Access Journals (Sweden)

    Kateryna Hnatenko

    2017-07-01

    Full Text Available Modern literature research works practically assert that literature is a way of thinking in imagery, and the interpretation of art works is almost always the interpretation of imagery, in other words perfect reality. Psychologists confirm that educational process in primary school should be formed on the account of both present and potential abilities of the children. Literature is an important means of pupils’ development. Reading in grades 1 − 4 promotes the development of children’s positive moral and will-power qualitie. With its help children perceive the world, learn to understand and love beautiful things. The writer’s ideological content of a piece of literature can be revealed in images. The main objective of text interpretation in grades 1 − 4 is to promote pupils’ perception and comprehension. Nowadays the changes in educational sphere require more attention to the issue of literary perception. In 2011, primary school changed the training course of "Reading" into "Literary reading," which aims at the development of the following reader’s qualities: to be capable to independent reading,to perform different communicative and creative activities. However, the educational process observation showed the existence of problems in young learners’ perception and understanding of literary art, and especially the role of character and its images. Today, the methodology pays attention to the quality of the perception, its depth and awareness. The efficiency level of children’s literary work perception is set on the analysis of readers’ activity results. Difficulties in the determination of the literary work perception level lie in various interpretations, complexity of the perception process, necessity to reflect different sides and emotions of imagination and thinking. Many scientific works are devoted to the analysis of literary texts understanding, to the role of visual images and imagination in literary text understanding

  1. L’Image à Byzance. Une nouvelle lecture des textes anciens

    Directory of Open Access Journals (Sweden)

    Maria Zoubouli

    2010-05-01

    Full Text Available Thèse soutenue le 9 avril 2009Composition du juryFrançois Hartog,André Guillou,Ennio Concina,Anca Vasiliu,Léon Pressouyre,(Pré-rapporteurs : Leslie Brubaker, Ennio Concina.RésuméÀ Byzance eikon désigne indistinctement toute forme de représentation et son usage, relève de multiples régimes, conceptuels aussi bien que pratiques. Nous partons des premiers discours apologétiques issus de la crise iconoclaste pour chercher en aval, dans la littérature antérieure, la théorie byzantine de l’image, ...

  2. Humanities data in R exploring networks, geospatial data, images, and text

    CERN Document Server

    Arnold, Taylor

    2015-01-01

    This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods, individual and collaborative work, and the humanities and social scientists. Exploring Humanities Data Types with R does not presuppose background programming experience. Early chapters take readers from R set-up to exploratory data analysis (continuous and categorical data, multivariate analysis, and advanced graphics with emphasis on aesthetics and facility). Everything is hands-on: networks are explained using U.S. Supreme Court opinions, and low-level NLP methods are applied to short stories by Sir Arthur Conan Doyle. The book’s data, code, appendix with 100 basic programming exercises and solutions, and dedicated website are valuable resources for readers. The methodology will have wide application in classrooms and self-study for the humanities, but also for use...

  3. Dual-force ISOMAP: a new relevance feedback method for medical image retrieval.

    Science.gov (United States)

    Shen, Hualei; Tao, Dacheng; Ma, Dianfu

    2013-01-01

    With great potential for assisting radiological image interpretation and decision making, content-based image retrieval in the medical domain has become a hot topic in recent years. Many methods to enhance the performance of content-based medical image retrieval have been proposed, among which the relevance feedback (RF) scheme is one of the most promising. Given user feedback information, RF algorithms interactively learn a user's preferences to bridge the "semantic gap" between low-level computerized visual features and high-level human semantic perception and thus improve retrieval performance. However, most existing RF algorithms perform in the original high-dimensional feature space and ignore the manifold structure of the low-level visual features of images. In this paper, we propose a new method, termed dual-force ISOMAP (DFISOMAP), for content-based medical image retrieval. Under the assumption that medical images lie on a low-dimensional manifold embedded in a high-dimensional ambient space, DFISOMAP operates in the following three stages. First, the geometric structure of positive examples in the learned low-dimensional embedding is preserved according to the isometric feature mapping (ISOMAP) criterion. To precisely model the geometric structure, a reconstruction error constraint is also added. Second, the average distance between positive and negative examples is maximized to separate them; this margin maximization acts as a force that pushes negative examples far away from positive examples. Finally, the similarity propagation technique is utilized to provide negative examples with another force that will pull them back into the negative sample set. We evaluate the proposed method on a subset of the IRMA medical image dataset with a RF-based medical image retrieval framework. Experimental results show that DFISOMAP outperforms popular approaches for content-based medical image retrieval in terms of accuracy and stability.

  4. From regular text to artistic writing and artworks: Fourier statistics of images with low and high aesthetic appeal

    Directory of Open Access Journals (Sweden)

    Tamara eMelmer

    2013-04-01

    Full Text Available The spatial characteristics of letters and their influence on readability and letter identification have been intensely studied during the last decades. There have been few studies, however, on statistical image properties that reflect more global aspects of text, for example properties that may relate to its aesthetic appeal. It has been shown that natural scenes and a large variety of visual artworks possess a scale-invariant Fourier power spectrum that falls off linearly with increasing frequency in log-log plots. We asked whether images of text share this property. As expected, the Fourier spectrum of images of regular typed or handwritten text is highly anisotropic, i.e. the spectral image properties in vertical, horizontal and oblique orientations differ. Moreover, the spatial frequency spectra of text images are not scale invariant in any direction. The decline is shallower in the low-frequency part of the spectrum for text than for aesthetic artworks, whereas, in the high-frequency part, it is steeper. These results indicate that, in general, images of regular text contain less global structure (low spatial frequencies relative to fine detail (high spatial frequencies than images of aesthetics artworks. Moreover, we studied images of text with artistic claim (ornate print and calligraphy and ornamental art. For some measures, these images assume average values intermediate between regular text and aesthetic artworks. Finally, to answer the question of whether the statistical properties measured by us are universal amongst humans or are subject to intercultural differences, we compared images from three different cultural backgrounds (Western, East Asian and Arabic. Results for different categories (regular text, aesthetic writing, ornamental art and fine art were similar across cultures.

  5. From regular text to artistic writing and artworks: Fourier statistics of images with low and high aesthetic appeal

    Science.gov (United States)

    Melmer, Tamara; Amirshahi, Seyed A.; Koch, Michael; Denzler, Joachim; Redies, Christoph

    2013-01-01

    The spatial characteristics of letters and their influence on readability and letter identification have been intensely studied during the last decades. There have been few studies, however, on statistical image properties that reflect more global aspects of text, for example properties that may relate to its aesthetic appeal. It has been shown that natural scenes and a large variety of visual artworks possess a scale-invariant Fourier power spectrum that falls off linearly with increasing frequency in log-log plots. We asked whether images of text share this property. As expected, the Fourier spectrum of images of regular typed or handwritten text is highly anisotropic, i.e., the spectral image properties in vertical, horizontal, and oblique orientations differ. Moreover, the spatial frequency spectra of text images are not scale-invariant in any direction. The decline is shallower in the low-frequency part of the spectrum for text than for aesthetic artworks, whereas, in the high-frequency part, it is steeper. These results indicate that, in general, images of regular text contain less global structure (low spatial frequencies) relative to fine detail (high spatial frequencies) than images of aesthetics artworks. Moreover, we studied images of text with artistic claim (ornate print and calligraphy) and ornamental art. For some measures, these images assume average values intermediate between regular text and aesthetic artworks. Finally, to answer the question of whether the statistical properties measured by us are universal amongst humans or are subject to intercultural differences, we compared images from three different cultural backgrounds (Western, East Asian, and Arabic). Results for different categories (regular text, aesthetic writing, ornamental art, and fine art) were similar across cultures. PMID:23554592

  6. The Image of Women in the National Education Text Books in Jordan

    Science.gov (United States)

    Al-Khalidi, Nasiema Mustafa Sadeq

    2016-01-01

    The study aimed to identify the image of women and how it was dealt with in the National Education books in Jordan, where the content of the National Education books analyzed and for multiple age stages, also it addressed the content analysis of images, concepts and fees, activities and evaluation to identify the image of women in the family, at…

  7. Print versus a culturally-relevant Facebook and text message delivered intervention to promote physical activity in African American women: a randomized pilot trial.

    Science.gov (United States)

    Joseph, Rodney P; Keller, Colleen; Adams, Marc A; Ainsworth, Barbara E

    2015-03-27

    African American women report insufficient physical activity and are disproportionally burdened by associated disease conditions; indicating the need for innovative approaches to promote physical activity in this underserved population. Social media platforms (i.e. Facebook) and text messaging represent potential mediums to promote physical activity. This paper reports the results of a randomized pilot trial evaluating a theory-based (Social Cognitive Theory) multi-component intervention using Facebook and text-messages to promote physical activity among African American women. Participants (N = 29) were randomly assigned to receive one of two multi-component physical activity interventions over 8 weeks: a culturally-relevant, Social Cognitive Theory-based, intervention delivered by Facebook and text message (FI) (n = 14), or a non-culturally tailored print-based intervention (PI) (n = 15) consisting of promotion brochures mailed to their home. The primary outcome of physical activity was assessed by ActiGraph GT3X+ accelerometers. Secondary outcomes included self-reported physical activity, physical activity-related psychosocial variables, and participant satisfaction. All randomized participants (N = 29) completed the study. Accelerometer measured physical activity showed that FI participants decreased sedentary time (FI = -74 minutes/week vs. PI = +118 minute/week) and increased light intensity (FI = +95 minutes/week vs. PI = +59 minutes/week) and moderate-lifestyle intensity physical activity (FI = + 27 minutes/week vs. PI = -34 minutes/week) in comparison to PI participants (all P's  .05). Results of secondary outcomes showed that in comparison to the PI, FI participants self-reported greater increases in moderate-to-vigorous physical activity (FI = +62 minutes/week vs. PI = +6 minutes/week; P = .015) and had greater enhancements in self-regulation for physical activity (P program to a friend

  8. Dancing Images: Text, Technology, and Cultural Participation in the "Communicative Dispositif" of VJing

    NARCIS (Netherlands)

    Turco, M.

    2014-01-01

    VJing, the practice of mixing video images live during a dance party, is a relatively new cultural form, which shows affinities with other contemporary media forms - film, video, computer games, mediatised theatre and the media arts - but appears to have a distinctive identity. Dancing with images

  9. Clinical relevance of the ROC and free-response paradigms for comparing imaging system efficacies

    International Nuclear Information System (INIS)

    Chakraborty, D. P.

    2010-01-01

    Observer performance studies are widely used to assess medical imaging systems. Unlike technical/engineering measurements observer performance include the entire imaging chain and the radiologist. However, the widely used receiver operating characteristic (ROC) method ignores lesion localisation information. The free-response ROC (FROC) method uses the location information to appropriately reward or penalise correct or incorrect localizations, respectively. This paper describes a method for improving the clinical relevance of FROC studies. The method consists of assigning appropriate risk values to the different lesions that may be present on a single image. A high-risk lesion is one that is critical to detect and act upon, and is assigned a higher risk value than a low-risk lesion, one that is relatively innocuous. Instead of simply counting the number of lesions that are detected, as is done in conventional FROC analysis, a risk-weighted count is used. This has the advantage of rewarding detections of high-risk lesions commensurately more than detections of lower risk lesions. Simulations were used to demonstrate that the new method, termed case-based analysis, results in a higher figure of merit for an expert who detects more high-risk lesions than a naive observer who detects more low-risk lesions, even though both detect the same total number of lesions. Conventional free-response analysis is unable to distinguish between the two types of observers. This paper also comments on the issue of clinical relevance of ROC analysis vs. FROC for tasks that involve lesion localisation. (authors)

  10. Image versus text: How newspaper reports affect evaluations of political candidates

    NARCIS (Netherlands)

    Boomgaarden, H.G.; Boukes, M.; Iorgoveanu, A.

    2016-01-01

    News coverage has become more visual and research suggests that news images affect assessments of political candidates. This study experimentally investigates the effects of textual versus visual on assessments of politicians’ competency and integrity, differentially for males and females. The

  11. Imaging-Based Screen Identifies Laminin 411 as a Physiologically Relevant Niche Factor with Importance for i-Hep Applications

    Directory of Open Access Journals (Sweden)

    John Ong

    2018-03-01

    Full Text Available Summary: Use of hepatocytes derived from induced pluripotent stem cells (i-Heps is limited by their functional differences in comparison with primary cells. Extracellular niche factors likely play a critical role in bridging this gap. Using image-based characterization (high content analysis; HCA of freshly isolated hepatocytes from 17 human donors, we devised and validated an algorithm (Hepatocyte Likeness Index; HLI for comparing the hepatic properties of cells against a physiological gold standard. The HLI was then applied in a targeted screen of extracellular niche factors to identify substrates driving i-Heps closer to the standard. Laminin 411, the top hit, was validated in two additional induced pluripotent stem cell (iPSC lines, primary tissue, and an in vitro model of α1-antitrypsin deficiency. Cumulatively, these data provide a reference method to control and screen for i-Hep differentiation, identify Laminin 411 as a key niche protein, and underscore the importance of combining substrates, soluble factors, and HCA when developing iPSC applications. : Rashid and colleagues demonstrate the utility of a high-throughput imaging platform for identification of physiologically relevant extracellular niche factors to advance i-Heps closer to their primary tissue counterparts. The extracellular matrix (ECM protein screen identified Laminin 411 as an important niche factor facilitating i-Hep-based disease modeling in vitro. Keywords: iPS hepatocytes, extracellular niche, image-based screening, disease modeling, laminin

  12. Text-mining as a methodology to assess eating disorder-relevant factors: Comparing mentions of fitness tracking technology across online communities.

    Science.gov (United States)

    McCaig, Duncan; Bhatia, Sudeep; Elliott, Mark T; Walasek, Lukasz; Meyer, Caroline

    2018-05-07

    Text-mining offers a technique to identify and extract information from a large corpus of textual data. As an example, this study presents the application of text-mining to assess and compare interest in fitness tracking technology across eating disorder and health-related online communities. A list of fitness tracking technology terms was developed, and communities (i.e., 'subreddits') on a large online discussion platform (Reddit) were compared regarding the frequency with which these terms occurred. The corpus used in this study comprised all comments posted between May 2015 and January 2018 (inclusive) on six subreddits-three eating disorder-related, and three relating to either fitness, weight-management, or nutrition. All comments relating to the same 'thread' (i.e., conversation) were concatenated, and formed the cases used in this study (N = 377,276). Within the eating disorder-related subreddits, the findings indicated that a 'pro-eating disorder' subreddit, which is less recovery focused than the other eating disorder subreddits, had the highest frequency of fitness tracker terms. Across all subreddits, the weight-management subreddit had the highest frequency of the fitness tracker terms' occurrence, and MyFitnessPal was the most frequently mentioned fitness tracker. The technique exemplified here can potentially be used to assess group differences to identify at-risk populations, generate and explore clinically relevant research questions in populations who are difficult to recruit, and scope an area for which there is little extant literature. The technique also facilitates methodological triangulation of research findings obtained through more 'traditional' techniques, such as surveys or interviews. © 2018 Wiley Periodicals, Inc.

  13. Explicit Foreground and Background Modeling in The Classification of Text Blocks in Scene Images

    NARCIS (Netherlands)

    Sriman, Bowornrat; Schomaker, Lambertus

    2015-01-01

    Achieving high accuracy for classifying foreground and background is an interesting challenge in the field of scene image analysis because of the wide range of illumination, complex background, and scale changes. Classifying fore- ground and background using bag-of-feature model gives a good result.

  14. Form and function in hillslope hydrology: in situ imaging and characterization of flow-relevant structures

    Science.gov (United States)

    Jackisch, Conrad; Angermann, Lisa; Allroggen, Niklas; Sprenger, Matthias; Blume, Theresa; Tronicke, Jens; Zehe, Erwin

    2017-07-01

    The study deals with the identification and characterization of rapid subsurface flow structures through pedo- and geo-physical measurements and irrigation experiments at the point, plot and hillslope scale. Our investigation of flow-relevant structures and hydrological responses refers to the general interplay of form and function, respectively. To obtain a holistic picture of the subsurface, a large set of different laboratory, exploratory and experimental methods was used at the different scales. For exploration these methods included drilled soil core profiles, in situ measurements of infiltration capacity and saturated hydraulic conductivity, and laboratory analyses of soil water retention and saturated hydraulic conductivity. The irrigation experiments at the plot scale were monitored through a combination of dye tracer, salt tracer, soil moisture dynamics, and 3-D time-lapse ground penetrating radar (GPR) methods. At the hillslope scale the subsurface was explored by a 3-D GPR survey. A natural storm event and an irrigation experiment were monitored by a dense network of soil moisture observations and a cascade of 2-D time-lapse GPR trenches. We show that the shift between activated and non-activated state of the flow paths is needed to distinguish structures from overall heterogeneity. Pedo-physical analyses of point-scale samples are the basis for sub-scale structure inference. At the plot and hillslope scale 3-D and 2-D time-lapse GPR applications are successfully employed as non-invasive means to image subsurface response patterns and to identify flow-relevant paths. Tracer recovery and soil water responses from irrigation experiments deliver a consistent estimate of response velocities. The combined observation of form and function under active conditions provides the means to localize and characterize the structures (this study) and the hydrological processes (companion study Angermann et al., 2017, this issue).

  15. Failure to Obtain Computed Tomography Imaging in Head Trauma: A Review of Relevant Case Law.

    Science.gov (United States)

    Lindor, Rachel A; Boie, Eric T; Campbell, Ronna L; Hess, Erik P; Sadosty, Annie T

    2015-12-01

    The objectives were to describe lawsuits against providers for failing to order head computed tomography (CT) in cases of head trauma and to determine the potential effects of available clinical decision rules (CDRs) on each lawsuit. The authors collected jury verdicts, settlements, and court opinions regarding alleged malpractice for failure to order head CT in the setting of head trauma from 1972 through February 2014 from an online legal research tool (WestlawNext). Data were abstracted onto a standardized data form. The performance of five CDRs was evaluated. Sixty relevant cases were identified (52 adult, eight children). Of 48 cases with known outcomes, providers were found negligent in 10 cases (six adult, four pediatric), settled in 11 cases (nine adult, two pediatric), and were found not liable in 27 cases. In all 10 cases in which providers were found negligent, every applicable CDR studied would have indicated the need for head CT. In all eight cases involving children, the applicable CDR would have suggested the need for head CT or observation. A review of legal cases reported in a major online legal research system revealed 60 lawsuits in which providers were sued for failing to order head CTs in cases of head trauma. In all cases in which providers were found negligent, CT imaging or observation would have been indicated by every applicable CDR. © 2015 by the Society for Academic Emergency Medicine.

  16. Seeking the Image of ‘Unmarked’ Sikh Women: Text, Sacred Stitches, Turban

    Directory of Open Access Journals (Sweden)

    Doris R. Jakobsh

    2015-10-01

    Full Text Available With the inauguration of the Khalsa in 1699 by the tenth guru of the Sikhs, Guru Gobind Singh, a new understanding of ‘being Sikh’ was put in place. In examining the earliest prescriptive texts of the Khalsa, manifestations of Sikh religio-cultural identity and visual distinctiveness were deeply connected to the male Sikh body. This study locates Sikh women within a number of these early ritual and textual ordinances while also exploring how Sikh female religio-cultural materiality is contradistinct to the normative Khalsa male body. The production of phulkaris, a form of embroidered head covering (but having other uses as well was historically associated with Sikh women and are here examined as alternate forms of religious belonging, ritual production and devotion. This study concludes with an examination of how the turban, for a small number of diasporic Sikh women, can be understood both as a rejection of traditional Sikh female ideals, as well as a novel form of Sikh women’s identity construction that is closely aligned with Sikh masculine ideals.

  17. Between history, criticism, and wit: texts and images of English modern architecture (1933-36

    Directory of Open Access Journals (Sweden)

    Michela Rosso

    2016-06-01

    Full Text Available It has often been remarked that modern architecture in Britain began late and that its emergence largely depended on the contribution of a massive influx of European exiles seeking refuge from the political and racial persecution of totalitarian regimes. In the attempt to discard the tired narrative of Britain’s insular modernism as a mere echo of continental European achievements, an alternative historiography has recently directed attention to Britain’s own distinctive and original version of modern architecture in the 1930s. Through the examination of a small group of articles, books and pamphlets on English modern architecture written by English authors and published in the mid-1930s, this paper argues that the emergence of a distinctive version of architectural modernism in Britain was paralleled by the development of an equally original brand of architectural criticism and historiography.

  18. The Relevance Voxel Machine (RVoxM): A Self-Tuning Bayesian Model for Informative Image-Based Prediction

    DEFF Research Database (Denmark)

    Sabuncu, Mert R.; Van Leemput, Koen

    2012-01-01

    This paper presents the relevance voxel machine (RVoxM), a dedicated Bayesian model for making predictions based on medical imaging data. In contrast to the generic machine learning algorithms that have often been used for this purpose, the method is designed to utilize a small number of spatially...

  19. Salton and Buckley’s Landmark Research in Experimental Text Information Retrieval. A Review of: Salton, G., & Buckley, C. (1990. Improving retrieval performance by relevance feedback. Journal of the American Society for Information Science, 41(4, 288–297.

    Directory of Open Access Journals (Sweden)

    Christine F. Marton

    2011-01-01

    Full Text Available Objectives – To compare the performance of the vector space model and the probabilistic weighting model of relevance feedback for the overall purpose of determining the most useful relevance feedback procedures. The amount of improvement that can be obtained from searching several test document collections with only one feedback iteration of each relevance feedback model was measured.Design – The experimental design consisted of 72 different tests: 2 different relevance feedback methods, each with 6 permutations, on 6 test document collections of various sizes. A residual collection method was utilized to ascertain the “true advantage provided by the relevance feedback process.” (Salton & Buckley, 1990, p. 293Setting – Department of Computer Science at Cornell University.Subjects – Six test document collections.Methods – Relevance feedback is an effective technique for query modification that provides significant improvement in search performance. Relevance feedback entails both “term reweighting,” the modification of term weights based on term use in retrieved relevant and non-relevant documents, and “query expansion,” which is the addition of new terms from relevant documents retrieved (Harman, 1992. Salton and Buckley (1990 evaluated two established relevance feedback models based on the vector space model (a spatial model and the probabilistic model, respectively. Harman (1992 describes the two key differences between these competing models of relevance feedback.[The vector space model merges] document vectors and original query vectors. This automatically reweights query terms by adding the weights from the actual occurrence of those query terms in the relevant documents, and subtracting the weights of those terms occurring in the non-relevant documents. Queries are automatically expanded by adding all the terms not in the original query that are in the relevant documents and non-relevant documents. They are expanded

  20. Relevance of wide-field autofluorescence imaging in Birdshot retinochoroidopathy: descriptive analysis of 76 eyes.

    Science.gov (United States)

    Piffer, Anne-Laure Le; Boissonnot, Michèle; Gobert, Frédéric; Zenger, Anita; Wolf, Sebastian; Wolf, Ute; Korobelnik, Jean-François; Rougier, Marie-Bénédicte

    2014-09-01

    To study and classify retinal lesions in patients with birdshot disease using wide-field autofluorescence imaging and correlate them according to patients' visual status. A multicentre study was carried out on 76 eyes of 39 patients with birdshot disease, analysing colour images and under autofluorescence using the wide-field Optomap(®) imaging system. This was combined with a complete clinical exam and analysis of the macula with OCT. In over 80% of the eyes, a chorioretinal lesion has been observed under autofluorescence with a direct correlation between the extent of the lesion and visual status. The presence of macular hypo-autofluorescence was correlated with a decreased visual acuity, due to the presence of a macular oedema, active clinical inflammation or an epiretinal membrane. The hypo-autofluorescence observed correlated with the duration of the disease and the degree of inflammation in the affected eye, indicating a secondary lesion in the pigment epithelium in relation to the choroid. The pigment epithelium was affected in a diffuse manner, as in almost 50% of the eyes the wider peripheral retina was affected. Wide-field autofluorescence imaging could appear to be a useful examination when monitoring patients, to look for areas of macular hypo-autofluorescence responsible for an irreversible loss of vision. © 2013 Acta Ophthalmologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.

  1. Corporate Image of Public Higher Education Institutions: Relevant Factors to Distance Learning Students

    Science.gov (United States)

    da Costa, Fabio R.; Pelissari, Anderson S.; Gonzalez, Inayara V. D. P.

    2018-01-01

    Technological advances are generating a significant increase in the supply of distance learning (DL) courses via the Internet, increasing the importance of this type of education for the university's structure. This article identifies factors associated with perceptions of the public higher education institutions' image from the perspective of DL…

  2. An imaging checklist for pre-FESS CT: framing a surgically relevant report

    Energy Technology Data Exchange (ETDEWEB)

    Vaid, S., E-mail: vaids@vsnl.co [Department of Radiology and Imaging, Grant Medical Foundation, Pune (India); Vaid, N. [Department of Otorhinolaryngology, K.E.M. Hospital, Pune (India); Rawat, S. [Department of Radiology and Imaging, Grant Medical Foundation, Pune (India); Ahuja, A.T. [Department of Diagnostic Radiology and Organ Imaging, The Chinese University of Hong Kong (Hong Kong)

    2011-05-15

    The reference standard for preoperative imaging in functional endoscopic sinus surgery (FESS) is multiplanar high-resolution computed tomography (HRCT). Surgeons require a precise preoperative anatomical road map, and hence it is essential for radiologists to be familiar with the normal three-dimensional sinonasal anatomy and the normal variants encountered in this region. Sagittal imaging has recently emerged as an important tool to visualize additional details in this critical anatomical region. Radiologists also need to report these examinations with special focus on the surgeon's expectations. Constant communication between the radiologist and the surgeon helps to resolve specific issues and improve the overall quality of reports. This results in better preoperative patient counselling and in predicting postoperative improvement in clinical status. This review provides a basic structured format for reporting pre-FESS CT, which can be tailored to meet individual requirements. The CT reporting format follows the order in which the sinonasal structures are approached during surgery.

  3. Relevant aspects of imaging in the diagnosis and management of gout.

    Science.gov (United States)

    De Avila Fernandes, Eloy; Bergamaschi, Samuel Brighenti; Rodrigues, Tatiane Cantarelli; Dias, Gustavo Coelho; Malmann, Ralff; Ramos, Germano Martins; Monteiro, Soraya Silveira

    Gout is an inflammatory arthritis characterized by the deposition of monosodium urate crystals in the synovial membrane, articular cartilage and periarticular tissues leading to inflammation. Men are more commonly affected, mainly after the 5th decade of life. Its incidence has been growing with the population aging. In the majority of the cases, the diagnosis is made by clinical criteria and synovial fluid analysis, in search for monosodium urate crystals. Nonetheless, gout may sometimes have atypical presentations, complicating the diagnosis. In these situations, imaging methods have a fundamental role, aiding in the diagnostic confirmation or excluding other possible differential diagnosis. Conventional radiographs are still the most commonly used method in gout patients' evaluation; nevertheless, this is not a sensitive method, since it detect only late alterations. In the last years, there have been several advances in imaging methods for gout patients. Ultrasound has shown a great accuracy in the diagnosis of gout, identifying monosodium urate deposits in the synovial membrane and articular cartilage, in detecting and characterizing tophi and in identifying tophaceous tendinopathy and enthesopathy. Ultrasound has also been able to show crystal deposition in patients with articular pain in the absence of a classical gout crisis. Computed tomography is an excellent method for detecting bone erosions, being useful in spine involvement. Dual-energy CT is a new method able to provide information about the chemical composition of tissues, with high accuracy in the identification of monosodium urate deposits, even in the early stages of the disease and in cases of difficult characterization. Magnetic resonance imaging is useful in the evaluation of deep tissues not accessible by ultrasound. Besides the diagnosis, with the emergence of new drugs that aim to reduce tophaceous burden, imaging methods have become useful tools in monitoring the treatment of patients with

  4. Embryology of the adrenal glands and its relevance to diagnostic imaging

    International Nuclear Information System (INIS)

    Barwick, T.D.; Malhotra, A.; Webb, J.A.W.; Savage, M.O.; Reznek, R.H.

    2005-01-01

    An understanding of the embryology of the adrenal glands is necessary to appreciate the location of adrenal ectopic, or rest, tissue which can occur anywhere along the course of gonadal descent. This tissue usually has no clinical significance, but may become hyperplastic in patients with primary or secondary adrenal pathology. In congenital adrenal hyperplasia, hyperplastic rest tissue may present as a soft-tissue mass, particularly in the gonads and retroperitoneum, and may be mistaken for tumour. The adrenal in the neonate is proportionately much larger than in the adult; in renal ectopy or agenesis the ipsilateral adrenal is normally sited and may be mistaken for a kidney because of its size. This review article illustrates the embryology of the adrenal with particular emphasis on the relevance of embryology to pathology

  5. Clinical relevance of F-18 FDG PET for imaging of neuroendocrine tumors

    International Nuclear Information System (INIS)

    Adams, S.; Baum, R.P.; Hoer, G.

    2001-01-01

    Neuroendocrine tumors are characterized immunocytochemically by the expression of different peptides and biogenic amines. Hormones induce their biological action by binding to and stimulating specific membrane-associated receptors for e.g. somatostatin. The presence of somatostatin receptors (SR) has been described mainly in endocrine glands and the central nervous system. Interestingly, a large variety of human tumors, including gastroenteropancreatic (GEP) tumors and medullary thyroid carcinomas (MTC) also express a high density of SR and can be imaged with [ 111 In-DTPA-D-Phe 1 ]-pentetreotide. Cell proliferative activity is an important indicator of the growth of various malignant tumors associated with a poorer prognosis and Ki-67 expression. 18 F-FDG is a marker of tumor viability, based upon the increased glycolysis that is associated with malignancy as compared with normal tissue. SR-containing neuroendocrine tumors are well-differentiated and tend to grow slowly. Furthermore, these tumors demonstrate inverse relationship between in vivo SR expression, cell proliferation (low Ki-67 expression) and FDG uptake (normal biodistribution). In comparison, less differentiated tumors, e.g. atypical carcinoids or MTC with increasing CEA levels show mitotic activity (high levels of Ki-67 immunoreactivity and increased FDG uptake) and often lack of SR. In conclusion, SR scintigraphy has been shown to localize well-differentiated neuroendocrine tumors. In contrast, PET imaging is valuable for predicting malignancy only in less differentiated tumors with increased glucose metabolism. Therefore, an additional F-18 FDG PET should be performed if SR scintigraphy (GEP tumors) or combined imaging using [ 111 In-DTPA-D-Phe 1 ]-pentetreotide and 99m Tc(V)-DMSA (MTC) is negative. (orig.) [de

  6. Relevance of I-BMIPP delayed scintigraphic imaging for patients with angina pectoris - a pilot study.

    Science.gov (United States)

    Koyama, Kohei; Akashi, Yoshihiro J; Kida, Keisuke; Suzuki, Kengo; Ishibashi, Yuki; Musha, Haruki; Banach, Maciej

    2011-06-01

    The study was designed to clarify the role of (123)I-β-methyl-iodophenylpentadecanoic acid ((123)I-BMIPP) in the evaluation of myocardial fatty acid metabolism in patients with stable angina pectoris (AP) before and after percutaneous coronary intervention (PCI). TEN CONTROLS (MEAN AGE: 70.4 ±10.5 years) and 12 patients with AP (mean age: 67.4 ±11.6 years) and single vessel coronary artery disease participated in the radionuclide cardiac study. Scintigraphic images were acquired at 30 min and at 4 h after (123)I-BMIPP injection to determine early and delayed BMIPP uptake, respectively. The heart-to-mediastinum (H/M) ratio and the washout rate (WR) were calculated from the planar images. All patients underwent scintigraphy one day before PCI and again 1 month after successful PCI. NO SIGNIFICANT DIFFERENCES IN THE EARLY OR DELAYED H/M RATIOS WERE OBSERVED BETWEEN THE PATIENTS AND THE CONTROLS BEFORE PCI (EARLY: 2.70 ±0.36 vs. 2.73 ±0.57; delayed: 2.26 ±0.33 vs. 2.40 ±0.43; p > 0.2 for both). The early and delayed H/M ratios remained unchanged with the comparison with before PCI (early: 2.72 ±0.27, delayed: 2.23 ±0.22; p > 0.2 for both). The global WR before PCI was significantly higher in the patients than in the control group (36.7 ±9.3%, vs. 28.1 ±8.2%, p = 0.02). However, the WR after PCI did not significantly differ between the patients and the controls (34.3 ±7.8% vs. 28.1 ±8.2%, p = 0.1). These data may suggest that the WR of (123)I-BMIPP determined from the planar images enhances the presence of myocardial ischaemia.

  7. Phenomena of non-thermal electrons from the X-ray imaging crystal spectrometer on J-TEXT tokamak

    Energy Technology Data Exchange (ETDEWEB)

    Yan, W. [State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan (China); Chen, Z.Y., E-mail: zychen@hust.edu.cn [State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan (China); Jin, W. [Center of Interface Dynamics for Sustainability, China Academy of Engineering Physics, Chengdu 610200, Sichuan (China); Huang, D.W. [State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan (China); Lee, S.G.; Shi, Y.J. [National Fusion Research Institute, Daejeon 305-333 (Korea, Republic of); Tong, R.H.; Wang, S.Y.; Wei, Y.N.; Ma, T.K.; Zhuang, G. [State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan (China)

    2016-11-01

    Highlights: • Some lines from X-ray imaging crystal spectrometer (XICS) can be enhanced by non-thermal electrons, such as q, r satellite lines and z lines. • Analyze the non-thermal phenomena can reduce the error of electron temperature deduced from the intensity ratio of different lines of the He-like argon spectra from XICS. • XICS can be a tool to measure the non-thermal phenomena from these enhanced lines. - Abstract: A high spectra resolution X-ray imaging crystal spectrometer has been implemented on J-TEXT Tokamak for the measurements of K{sub α} spectra of helium-like argon and its satellite lines. The wavelength range of K{sub α} spectra of helium-like argon is from 3.9494 Å to 3.9944 Å that includes the resonance line w, intercombination lines x and y, forbidden line z and numerous satellite lines, referenced using standard Gabriel notation. In low-density discharge, the intensity of q, r satellite lines and z lines can be significantly enhanced by non-thermal electrons. Non-thermal electrons are produced due to the low plasma density. The high hard X-ray flux from NaI detector and significant downshift electron cyclotron emissions from energetic runaway electrons also indicated that there is a large population of runaway electrons in the low-density discharge. The non-thermal part of electrons can affect the excitation/transition equilibrium or ionization/recombination equilibrium. The q line is mainly produced by inner-shell excitation of lithium-like argon, and the r line is partially produced by inner-shell excitation of lithium-like argon and dielectronic recombination of helium-like argon.

  8. Phenomena of non-thermal electrons from the X-ray imaging crystal spectrometer on J-TEXT tokamak

    International Nuclear Information System (INIS)

    Yan, W.; Chen, Z.Y.; Jin, W.; Huang, D.W.; Lee, S.G.; Shi, Y.J.; Tong, R.H.; Wang, S.Y.; Wei, Y.N.; Ma, T.K.; Zhuang, G.

    2016-01-01

    Highlights: • Some lines from X-ray imaging crystal spectrometer (XICS) can be enhanced by non-thermal electrons, such as q, r satellite lines and z lines. • Analyze the non-thermal phenomena can reduce the error of electron temperature deduced from the intensity ratio of different lines of the He-like argon spectra from XICS. • XICS can be a tool to measure the non-thermal phenomena from these enhanced lines. - Abstract: A high spectra resolution X-ray imaging crystal spectrometer has been implemented on J-TEXT Tokamak for the measurements of K_α spectra of helium-like argon and its satellite lines. The wavelength range of K_α spectra of helium-like argon is from 3.9494 Å to 3.9944 Å that includes the resonance line w, intercombination lines x and y, forbidden line z and numerous satellite lines, referenced using standard Gabriel notation. In low-density discharge, the intensity of q, r satellite lines and z lines can be significantly enhanced by non-thermal electrons. Non-thermal electrons are produced due to the low plasma density. The high hard X-ray flux from NaI detector and significant downshift electron cyclotron emissions from energetic runaway electrons also indicated that there is a large population of runaway electrons in the low-density discharge. The non-thermal part of electrons can affect the excitation/transition equilibrium or ionization/recombination equilibrium. The q line is mainly produced by inner-shell excitation of lithium-like argon, and the r line is partially produced by inner-shell excitation of lithium-like argon and dielectronic recombination of helium-like argon.

  9. Relevance of Postoperative Magnetic Resonance Images in Evaluating Epidural Hematoma After Thoracic Fixation Surgery.

    Science.gov (United States)

    Shin, Hong Kyung; Choi, Il; Roh, Sung Woo; Rhim, Seung Chul; Jeon, Sang Ryong

    2017-11-01

    It is difficult to evaluate the significant findings of epidural hematoma in magnetic resonance images (MRIs) obtained immediately after thoracic posterior screw fixation (PSF). Prospectively, immediate postoperative MRI was performed in 10 patients who underwent thoracic PSF from April to December 2013. Additionally, we retrospectively analyzed the MRIs from 3 patients before hematoma evacuation out of 260 patients who underwent thoracic PSF from January 2000 to March 2013. The MRI findings of 9 out of the 10 patients, consecutively collected after thoracic PSF, showed neurologic recovery with a well-preserved cerebrospinal fluid (CSF) space and no prominent hemorrhage. Even though there were metal artifacts at the level of the pedicle screws, the preserved CSF space was observed. In contrast, the MRI of 1 patient with poor neurologic outcome demonstrated a typical hematoma and slight spinal cord compression and reduced CSF space. In the retrospective analysis of the 3 patients who showed definite motor weakness in the lower extremities after their first thoracic fusion surgery and underwent hematoma evacuation, the magnetic resonance images before hematoma evacuation also revealed hematoma compressing the spinal cord and diminished CSF space. This study shows that epidural hematomas can be detected on MRI performed immediately after thoracic fixation surgery, despite metal artifacts and findings such as hematoma causing spinal cord compression. Loss of CSF space should be considered to be associated with neurologic deficit. Copyright © 2017 Elsevier Inc. All rights reserved.

  10. Relevance of adjacent joint imaging in the evaluation of ankle fractures.

    Science.gov (United States)

    Antoci, Valentin; Patel, Shaun P; Weaver, Michael J; Kwon, John Y

    2016-10-01

    Routinely obtaining adjacent joint radiographs when evaluating patients with ankle fractures may be of limited clinical utility and an unnecessary burden, particularly in the absence of clinical suspicion for concomitant injuries. One thousand, three hundred and seventy patients who sustained ankle fractures over a 5-year period presenting to two level 1 trauma centers were identified. Medical records were retrospectively reviewed for demographics, physical examination findings, and radiographic information. Analyses included descriptive statistics along with sensitivity and predictive value calculations for the presence of adjacent joint fracture. Adjacent joint imaging (n=1045 radiographs) of either the knee or foot was obtained in 873 patients (63.7%). Of those, 75/761 patients (9.9%) demonstrated additional fractures proximal to the ankle joint, most commonly of the proximal fibula. Twenty-two of 284 (7.7%) demonstrated additional fractures distal to the ankle joint, most commonly of the metatarsals. Tenderness to palpation demonstrated sensitivities of 0.92 and 0.77 and positive predictive values of 0.94 and 0.89 for the presence of proximal and distal fractures, respectively. Additionally, 19/22 (86.4%) of patients sustaining foot fractures had their injury detectable on initial ankle X-rays. Overall, only 5.5% (75/1370) of patients sustained fractures proximal to the ankle and only 0.2% (3/1370) of patients had additional foot fractures not evident on initial ankle X-rays. The addition of adjacent joint imaging for the evaluation of patients sustaining ankle fractures is low yield. As such, patient history, physical examination, and clinical suspicion should direct the need for additional X-rays. Level IV. Copyright © 2016 Elsevier Ltd. All rights reserved.

  11. Clinically relevant magnetic resonance imaging (MRI findings in elite swimmers’ shoulders

    Directory of Open Access Journals (Sweden)

    Arno Celliers

    2017-01-01

    Objective: To assess clinically relevant MRI findings in the shoulders of symptomatic and asymptomatic elite swimmers. Method: Twenty (aged 16–23 years elite swimmers completed questionnaires on their swimming training, pain and shoulder function. MRI of both shoulders (n = 40 were performed and all swimmers were given a standardised clinical shoulder examination. Results: Both shoulders of 11 male and 9 female elite swimmers (n = 40 were examined. Eleven of the 40 shoulders were clinically symptomatic and 29 were asymptomatic. The most common clinical finding in both the symptomatic and asymptomatic shoulders was impingement during internal rotation, with impingement in 54.5% of the symptomatic shoulders and in 31.0% of the asymptomatic shoulders. The most common MRI findings in the symptomatic and asymptomatic shoulders were supraspinatus tendinosis (45.5% vs. 20.7%, subacromial subdeltoid fluid (45.5% vs. 34.5%, increased signal in the AC Joint (45.5% vs. 37.9% and AC joint arthrosis (36.4% vs. 34.5%. Thirty-nine (97.5% of the shoulders showed abnormal MRI features. Conclusion: MRI findings in the symptomatic and asymptomatic shoulders of young elite swimmers are similar and care should be taken when reporting shoulder MRIs in these athletes. Asymptomatic shoulders demonstrate manifold MRI abnormalities that may be radiologically significant but appear not to be clinically significant.

  12. Quantification of hepatic and visceral fat by CT and MR imaging: relevance to the obesity epidemic, metabolic syndrome and NAFLD.

    Science.gov (United States)

    Graffy, Peter M; Pickhardt, Perry J

    2016-06-01

    Trends in obesity have continued to increase in the developed world over the past few decades, along with related conditions such as metabolic syndrome, which is strongly associated with this epidemic. Novel and innovative methods to assess relevant obesity-related biomarkers are needed to determine the clinical significance, allow for surveillance and intervene if appropriate. Aggregations of specific types of fat, specifically hepatic and visceral adiposity, are now known to be correlated with these conditions, and there are a variety of imaging techniques to identify and quantify their distributions and provide diagnostic information. These methods are particularly salient for metabolic syndrome, which is related to both hepatic and visceral adiposity but currently not defined by it. Simpler non-specific fat measurements, such as body weight, abdominal circumference and body mass index are more frequently used but lack the ability to characterize fat location. In addition, non-alcoholic fatty liver disease (NAFLD) is a related condition that carries relevance not only for obesity-related diseases but also for the progression of the liver-specific disease, including non-alcoholic steatohepatitis and cirrhosis, albeit at a much lower frequency. Recent CT and MRI techniques have emerged to potentially optimize diagnosing metabolic syndrome and NAFLD through non-invasive quantification of visceral fat and hepatic steatosis with high accuracy. These imaging modalities should aid us in further understanding the relationship of hepatic and visceral fat to the obesity-related conditions such as metabolic syndrome, NAFLD and cardiovascular disease.

  13. A color contrast aided density imaging technique to differentiate between dental hard tissues and its relevance

    Directory of Open Access Journals (Sweden)

    Devi Charan Shetty

    2011-01-01

    Full Text Available Aim: Radiographic interpretation of a disease requires knowledge about normal structures. The calcifying jaw diseases can range from radiolucent areas to varying degrees of calcification. Therefore, it is vital to differentiate radiographically between various hard tissues. Materials and Methods: We have illustrated the use of computed tomography scan to quantify the calcified structures as dentin and enamel in a case of ameloblastic fibro-odontoma. Results: The enamel, dentin and cementum showed different values. Conclusion: The "Dentascan" can be used to distinguish the hard tissues in a variety of calcifying diseases of jaws.

  14. Clinical relevance of n-isopropyl-(/sup 123/I)p-iodoamphetamine (IMP) SPECT brain imaging

    International Nuclear Information System (INIS)

    Podreka, I.; Holl, K.; Dal Bianco, P.; Goldenberg, G.; Wimberger, D.; Auff, E.; Brucke, T.

    1986-01-01

    SPECT studies of the brain were performed by means of N-isopropyl-(/sup 123/I)p-iodoamphertamine and a double head rotating scintillation camera. Energy spectra showed an increase of scattered radiation proportional to the geometrical resolution of the used Tc-collimators. This is due to the higher lead content and thin septa (septum-penetration of high energy photons of /sup 123/I, scattering in the crystal) of HRES or UHRES collimators. A LEAP collimator (14 mm FWHM resolution in the reconstructed image) is the most suitable one (sufficient resolution - relatively low scatter-fraction) for /sup 123/I labeled tracers. With a multiple window technique scatter correction was performed. The width and position of the scatter windows were estimated in phantom studies. Further steps of data processing (prereconstructional filtering, analytical attenuation compensation), leading to an improvement of the final set of cross sections, are described. Clinical cases (Alzheimers, Huntingtons, Parkinson disease, Moya Moya, stroke and partial complex seizures) and stimulation (acoustic memory tasks, visual stimulations) studies in normal volunteers are presented, and results are compared with PET-data known from recent literature

  15. Detection of trace explosives on relevant substrates using a mobile platform for photothermal infrared imaging spectroscopy (PT-IRIS)

    Science.gov (United States)

    Kendziora, Christopher A.; Furstenberg, Robert; Papantonakis, Michael; Nguyen, Viet; Byers, Jeff; McGill, R. Andrew

    2015-05-01

    This manuscript describes the results of recent tests regarding standoff detection of trace explosives on relevant substrates using a mobile platform. We are developing a technology for detection based on photo-thermal infrared (IR) imaging spectroscopy (PT-IRIS). This approach leverages one or more microfabricated IR quantum cascade lasers, tuned to strong absorption bands in the analytes and directed to illuminate an area on a surface of interest. An IR focal plane array is used to image the surface thermal emission upon laser illumination. The PT-IRIS signal is processed as a hyperspectral image cube comprised of spatial, spectral and temporal dimensions as vectors within a detection algorithm. Increased sensitivity to explosives and selectivity between different analyte types is achieved by narrow bandpass IR filters in the collection path. We have previously demonstrated the technique at several meters of stand-off distance indoors and in field tests, while operating the lasers below the infrared eye-safe intensity limit (100 mW/cm2). Sensitivity to explosive traces as small as a single 10 μm diameter particle (~1 ng) has been demonstrated. Analytes tested here include RDX, TNT, ammonium nitrate and sucrose. The substrates tested in this current work include metal, plastics, glass and painted car panels.

  16. Can you see what they are saying? Breast cancer images and text in Canadian women's and fashion magazines.

    Science.gov (United States)

    McWhirter, J E; Hoffman-Goetz, L; Clarke, J N

    2012-06-01

    Media are an important source of breast cancer information for women. Visual images influence recall and comprehension of information. Research on breast cancer in the media has infrequently focused on images. Using directed content analysis, we compared content, tone, and themes in images (n = 91) and articles (n = 31) in Canadian women's and fashion (n = 6) magazines (2005-2010). About half of the articles (51.6%) had both positive and negative tone; in contrast, 87.7% of women in the images had positive facial expressions. Women in the images were Caucasian (80.9%), young (81.3%), attractive (99.2%), had a healthy body type (93.8%), and appeared to have intact breasts (100%). Images of screening/treatment (5.5%) and visual impact of disease/treatment on the body (4.4%) were rare. The most common theme in the articles was medical issues (35.5%); in the images, it was beauty or fashion (15.4%). The potential impact of these divergent messages for breast cancer education is discussed.

  17. Spatial resolution measurements of the advanced radiographic capability x-ray imaging system at energies relevant to Compton radiography

    Energy Technology Data Exchange (ETDEWEB)

    Hall, G. N., E-mail: hall98@llnl.gov; Izumi, N.; Landen, O. L.; Tommasini, R.; Holder, J. P.; Hargrove, D.; Bradley, D. K.; Lumbard, A.; Cruz, J. G.; Piston, K.; Bell, P. M.; Carpenter, A. C.; Palmer, N. E.; Felker, B.; Rekow, V.; Allen, F. V. [Lawrence Livermore National Laboratory, 7000 East Avenue, Livermore, California 94550 (United States); Lee, J. J.; Romano, E. [National Security Technologies LLC, 161 S Vasco Rd., Livermore, California 94551 (United States)

    2016-11-15

    Compton radiography provides a means to measure the integrity, ρR and symmetry of the DT fuel in an inertial confinement fusion implosion near peak compression. Upcoming experiments at the National Ignition Facility will use the ARC (Advanced Radiography Capability) laser to drive backlighter sources for Compton radiography experiments and will use the newly commissioned AXIS (ARC X-ray Imaging System) instrument as the detector. AXIS uses a dual-MCP (micro-channel plate) to provide gating and high DQE at the 40–200 keV x-ray range required for Compton radiography, but introduces many effects that contribute to the spatial resolution. Experiments were performed at energies relevant to Compton radiography to begin characterization of the spatial resolution of the AXIS diagnostic.

  18. The functional relevance of diffusion tensor imaging in comparison to conventional MRI in patients with cervical compressive myelopathy

    Energy Technology Data Exchange (ETDEWEB)

    Yang, Young-Mi; Oh, Jae-Keun; Song, Ji-Sun [Hallym University Sacred Heart Hospital, College of Medicine, Hallym University, Spine Center, Anyang-si, Gyeonggi-do (Korea, Republic of); Yoo, Woo-Kyoung [Hallym University Sacred Heart Hospital, College of Medicine, Hallym University, Department of Physical Medicine and Rehabilitation, Anyang-si (Korea, Republic of); Hallym University Sacred Heart Hospital, College of Medicine, Hallym University, Hallym Institute for Translational Genomics and Bioinformatics, Anyang-si (Korea, Republic of); Yoo, Je Hyun; Kwak, Yoon Hae [Hallym University Sacred Heart Hospital, College of Medicine, Hallym University, Department of Orthopaedic surgery, Anyang-si (Korea, Republic of); Kim, Seok Woo [Hallym University Sacred Heart Hospital, College of Medicine, Hallym University, Spine Center, Anyang-si, Gyeonggi-do (Korea, Republic of); Hallym University Sacred Heart Hospital, College of Medicine, Hallym University, Department of Orthopaedic surgery, Anyang-si (Korea, Republic of)

    2017-11-15

    To determine the functional relevance of diffusion tensor imaging (DTI) metrics and conventional MRI (signal intensity change in T2, compression ratio) by measuring the correlation of these parameters with clinical outcome measured by the modified Japanese Orthopedic Association (mJOA) score. A total of 20 cervical myelopathy (CM) patients participated in this prospective cohort study. The severities of CM were assessed using the mJOA score. Conventional MRIs (T2-weighted images) measuring the signal changes of spinal cords and the degree of compression at the lesion level and DTI metrics [fractional anisotropy (FA), apparent diffusion coefficient (ADC)] at each lesion and below each lesion (C7/T1) level were acquired using a 3-T Achieva MRI. These parameters were correlated with the mJOA scores to determine the functional relevance. Ninety percent of CM patients showed signal changes and 30 % of patients noted a more than 40% canal compression ratio in conventional MRIs at the lesion level; however, these findings were not correlated with the mJOA score (p < 0.05). In contrast, FA values on DTI showed high sensitivity to CM (100%), which was well correlated with the mJOA score (p = 0.034, r = 0.475) below the lesion level (C7/T1). This study showed a meaningful symptomatic correlation between mJOA scores and FA values below the lesion levels in CM patients. It could give us more understanding of the pathological changes in spinal cords matched with various clinical findings in CM patients than the results from conventional MRI. (orig.)

  19. Microsurgical anatomy of the ventral callosal radiations: new destination, correlations with diffusion tensor imaging fiber-tracking, and clinical relevance.

    Science.gov (United States)

    Peltier, Johann; Verclytte, Sébastien; Delmaire, Christine; Deramond, Hervé; Pruvo, Jean-Pierre; Le Gars, Daniel; Godefroy, Olivier

    2010-03-01

    In the current literature, there is a lack of a detailed map of the origin, course, and connections of the ventral callosal radiations of the human brain. The authors used an older dissection technique based on a freezing process as well as diffusion tensor imaging to investigate this area of the human brain. The authors demonstrated interconnections between areas 11, 12, and 25 for the callosal radiations of the trunk and rostrum of the corpus callosum; between areas 9, 10, and 32 for the genu; and between areas 6, 8, and 9 for the ventral third of the body. The authors identified new ventral callosal connections crossing the rostrum between both temporal poles and coursing within the temporal stem, and they named these connections the "callosal radiations of Peltier." They found that the breadth of the callosal radiations slightly increases along their course from the rostrum to the first third of the body of the corpus callosum. The fiber dissection and diffusion tensor imaging techniques are complementary not only in their application to the study of the commissural system in the human brain, but also in their practical use for diagnosis and surgical planning. Further investigations, neurocognitive tests, and other contributions will permit elucidation of the functional relevance of the newly identified callosal radiations in patients with disease involving the ventral corpus callosum.

  20. Prospective early detection of avascular necrosis of the femoral head with MR imaging in high-risk patients: Is it clinically relevant

    International Nuclear Information System (INIS)

    Von Schulthess, G.K.; Binswanger, U.

    1987-01-01

    To evaluate the clinical relevance of early detection of avascular necrosis (AVN) of the femoral head in a high-risk group, the authors performed MR imaging in 16 renal transplant patients receiving prednisone. Imaging was done at 3-month intervals over 8-24 months. Of the 15 patients remaining in the study (one underwent nephrectomy), two have shown clear MR imaging signs of early AVN persisting for 12 months without clinical symptoms. One patient had an abrupt onset of clinically relevant AVN before the second control MR imaging study was done. These results suggest that MR imaging may detect clinically irrelevant AVN, and that even short intervals between examinations may be too long to provide a warning of impending AVN

  1. DSA-guided embolization in establishing different canine spinal cord ischemia models and relevant diffusion-weighted imaging study

    International Nuclear Information System (INIS)

    Zhang Jingsong; Sun Lijun; Huan Yi; He Hongde; Zhang Xuexin; Zhao Haitao; Zhang Jing; Zhang Xijing

    2006-01-01

    Objective: To evaluate DSA-guided embolization in establishing different spinal cord ischemia models of canine and relevant diffusion-weighted imaging (DWI) application. Methods: Nine canines were randomly divided into three groups with different matching of lipiodol and diatrizoate meglumine which were injected into bilateral intercostal arteries at 9-11 level guided by DSA monitor. Then observe the changes of motor function and pathologic findings, especially perform routine MRI and DWI by a 1.5 T MR system. Results: Except one case, 8 embolization models were established successfully. Among three groups, slight-group got slight injury and muscle power was about 3-5 grade and range of injury was about two vertebra distance; medium-group presented obvious paraplegia and muscle power was 0-1 grade and range of injury was between 3-4 vertebra distance; severe-group showed greater severity and larger range of injury. All lesions presented high signals at routine MRI and DWI. Conclusion: Using different matching of lipiodol and diatrizoate meglumine can establish different spinal cord ischemia models of canine by DSA- guided embolization and DWI can be performed successfully by 1.5 T MR system, which may be a good method for advanced study of spinal cord ischemia. (authors)

  2. Text Mining.

    Science.gov (United States)

    Trybula, Walter J.

    1999-01-01

    Reviews the state of research in text mining, focusing on newer developments. The intent is to describe the disparate investigations currently included under the term text mining and provide a cohesive structure for these efforts. A summary of research identifies key organizations responsible for pushing the development of text mining. A section…

  3. ‘Une page est une image’: Text as Image in Arts et métiers graphiques

    Directory of Open Access Journals (Sweden)

    Kristof Van Gansen

    2017-12-01

    Full Text Available Arts et métiers graphiques (1927–39 was a French graphic arts periodical published by type founder Charles Peignot. It tried to address all aspects of graphic design and the art of the book in articles written by prominent art critics, graphic designers, book historians, and literary authors. These contents were presented curiously: on fine paper with an intricate page layout and multiple fonts, and with offset inserts serving as illustrations or samples of technical innovations such as colour printing, all of which would please the bibliophile readership. Apart from advocating the renaissance of the beau livre and bibliophilism, Arts et métiers graphiques tried to redefine or adjust the traditional view of the literary text. A literary text was not only a thing to be read, it was also a visual and material object, hence the editors’ virtually exclusive focus on material aspects of the books they discussed. In doing so, they wanted to broaden the scope of literary criticism to include such aspects. After a historical overview of the magazine and a discussion of the editors’ views on bibliophilism, this article aims to investigate the visual and material conception of the text in Arts et métiers graphiques.

  4. Diferencias de género en la imagen corporal y su importancia en el control de peso (Gender differences in body image and its relevance in body weight control

    Directory of Open Access Journals (Sweden)

    Pilar Ramos

    2016-04-01

    Full Text Available Adolescence is the most vulnerable stage for the emergence of body image issues. This study examined the differences between boys and girls (ranging from 13 to 18 years old in Body Mass Index (BMI, perception of and satisfaction with their body image, and dieting to lose weight. The results show that girls, although being less overweight and obese than boys, were more dissatisfied with their body image, had a greater perception of obesity, and tended to diet to control their weight with greater frequency. In both groups, body image perception was more relevant than the adjusted body weight calculated by BMI in predicting behaviour regarding dieting to lose weight. Furthermore, body image satisfaction was also more relevant than BMI in predicting dieting in girls. The results highlight the importance of taking into account adolescents’ perceptions of their body image when designing, developing and implementing intervention programs aimed at the prevention and treatment of eating disorders. Moreover, the gender differences found imply the need to take into account the differing perceptions of boys and girls to improve the likelihood of success of interventions.

  5. Effects of Image-Based and Text-Based Active Learning Exercises on Student Examination Performance in a Musculoskeletal Anatomy Course

    Science.gov (United States)

    Gross, M. Melissa; Wright, Mary C.; Anderson, Olivia S.

    2017-01-01

    Research on the benefits of visual learning has relied primarily on lecture-based pedagogy, but the potential benefits of combining active learning strategies with visual and verbal materials on learning anatomy has not yet been explored. In this study, the differential effects of text-based and image-based active learning exercises on examination…

  6. Speeding up the Raster Scanning Methods used in theX-Ray Fluorescence Imaging of the Ancient Greek Text of Archimedes

    Energy Technology Data Exchange (ETDEWEB)

    Turner, Manisha; /Norfolk State U.

    2006-08-24

    Progress has been made at the Stanford Linear Accelerator Center (SLAC) toward deciphering the remaining 10-20% of ancient Greek text contained in the Archimedes palimpsest. The text is known to contain valuable works by the mathematician, including the ''Method of Mechanical Theorems, the Equilibrium of Planes, On Floating Bodies'', and several diagrams as well. The only surviving copy of the text was recycled into a prayer book in the Middle Ages. The ink used to write on the goat skin parchment is partly composed of iron, which is visible by x-ray radiation. To image the palimpsest pages, the parchment is framed and placed in a stage that moves according to the raster method. When an x-ray beam strikes the parchment, the iron in the ink is detected by a germanium detector. The resulting signal is converted to a gray-scale image on the imaging program, Rasplot. It is extremely important that each line of data is perfectly aligned with the line that came before it because the image is scanned in two directions. The objectives of this experiment were to determine the best parameters for producing well-aligned images and to reduce the scanning time. Imaging half a page of parchment during previous beam time for this project was achieved in thirty hours. Equations were produced to evaluate count time, shutter time, and the number of pixels in this experiment. On Beamline 6-2 at the Stanford Synchrotron Radiation Laboratory (SSRL), actual scanning time was reduced by one fourth. The remaining pages were successfully imaged and sent to ancient Greek experts for translation.

  7. Speeding up the Raster Scanning Methods used in the X-Ray Fluorescence Imaging of the Ancient Greek Text of Archimedes

    International Nuclear Information System (INIS)

    Turner, Manisha; Norfolk State U.

    2006-01-01

    Progress has been made at the Stanford Linear Accelerator Center (SLAC) toward deciphering the remaining 10-20% of ancient Greek text contained in the Archimedes palimpsest. The text is known to contain valuable works by the mathematician, including the ''Method of Mechanical Theorems, the Equilibrium of Planes, On Floating Bodies'', and several diagrams as well. The only surviving copy of the text was recycled into a prayer book in the Middle Ages. The ink used to write on the goat skin parchment is partly composed of iron, which is visible by x-ray radiation. To image the palimpsest pages, the parchment is framed and placed in a stage that moves according to the raster method. When an x-ray beam strikes the parchment, the iron in the ink is detected by a germanium detector. The resulting signal is converted to a gray-scale image on the imaging program, Rasplot. It is extremely important that each line of data is perfectly aligned with the line that came before it because the image is scanned in two directions. The objectives of this experiment were to determine the best parameters for producing well-aligned images and to reduce the scanning time. Imaging half a page of parchment during previous beam time for this project was achieved in thirty hours. Equations were produced to evaluate count time, shutter time, and the number of pixels in this experiment. On Beamline 6-2 at the Stanford Synchrotron Radiation Laboratory (SSRL), actual scanning time was reduced by one fourth. The remaining pages were successfully imaged and sent to ancient Greek experts for translation

  8. Effects of image-based and text-based active learning exercises on student examination performance in a musculoskeletal anatomy course.

    Science.gov (United States)

    Gross, M Melissa; Wright, Mary C; Anderson, Olivia S

    2017-09-01

    Research on the benefits of visual learning has relied primarily on lecture-based pedagogy, but the potential benefits of combining active learning strategies with visual and verbal materials on learning anatomy has not yet been explored. In this study, the differential effects of text-based and image-based active learning exercises on examination performance were investigated in a functional anatomy course. Each class session was punctuated with an average of 12 text-based and image-based active learning exercises. Participation data from 231 students were compared with their examination performance on 262 questions associated with the in-class exercises. Students also rated the helpfulness and difficulty of the in-class exercises on a survey. Participation in the active learning exercises was positively correlated with examination performance (r = 0.63, P active learning exercises were helpful for seeing images of key ideas (94%) and clarifying key course concepts (80%), and that the image-based exercises were significantly less demanding, less hard and required less effort than text-based exercises (P active learning strategies on student learning, and suggest that integrating them may be especially beneficial for learning anatomy. Anat Sci Educ 10: 444-455. © 2017 American Association of Anatomists. © 2017 American Association of Anatomists.

  9. Application of the Health Belief Model to U.S. Magazine Text and Image Coverage of Skin Cancer and Recreational Tanning (2000-2012).

    Science.gov (United States)

    McWhirter, Jennifer E; Hoffman-Goetz, Laurie

    2016-01-01

    The health belief model (HBM) has been widely used to inform health education, social marketing, and health communication campaigns. Although the HBM can explain and predict an individual's willingness to engage in positive health behaviors, its application to, and penetration of the underlying constructs into, mass media content has not been well characterized. We examined 574 articles and 905 images about skin cancer and tanning risks, behaviors, and screening from 20 U.S. women's and men's magazines (2000-2012) for the presence of HBM constructs: perceived susceptibility, perceived severity, perceived benefits, perceived barriers, self-efficacy, and cues to action. Susceptibility (48.1%) and severity (60.3%) information was common in text. Perceived benefits (36.4%) and barriers (41.5%) to prevention of skin cancer were fairly equally mentioned in articles. Self-efficacy (48.4%) focused on sunscreen use. There was little emphasis on HBM constructs related to early detection. Few explicit cues to action about skin cancer appeared in text (12.0%) or images (0.1%). HBM constructs were present to a significantly greater extent in text versus images (e.g., severity, 60.3% vs. 11.3%, respectively, χ(2) = 399.51, p < .0001; benefits prevention, 36.4% vs. 8.0%, respectively, χ(2) = 184.80, p < .0001), suggesting that readers are not visually messaged in ways that would effectively promote skin cancer prevention and early detection behaviors.

  10. Measuring agreement between rating interpretations and binary clinical interpretations of images: a simulation study of methods for quantifying the clinical relevance of an observer performance paradigm

    International Nuclear Information System (INIS)

    Chakraborty, Dev P

    2012-01-01

    Laboratory receiver operating characteristic (ROC) studies, that are often used to evaluate medical imaging systems, differ from ‘live’ clinical interpretations in several respects which could compromise their clinical relevance. The aim was to develop methodology for quantifying the clinical relevance of a laboratory ROC study. A simulator was developed to generate ROC ratings data and binary clinical interpretations classified as correct or incorrect for a common set of images interpreted under clinical and laboratory conditions. The area under the trapezoidal ROC curve (AUC) was used as the laboratory figure-of-merit and the fraction of correct clinical decisions as the clinical figure-of-merit. Conventional agreement measures (Pearson, Spearman, Kendall and kappa) between the bootstrap-induced fluctuations of the two figures of merit were estimated. A jackknife pseudovalue transformation applied to the figures of merit was also investigated as a way to capture agreement existing at the individual image level that could be lost at the figure-of-merit level. It is shown that the pseudovalues define a relevance-ROC curve. The area under this curve (rAUC) measures the ability of the laboratory figure-of-merit-based pseudovalues to correctly classify incorrect versus correct clinical interpretations. Therefore, rAUC is a measure of the clinical relevance of an ROC study. The conventional measures and rAUC were compared under varying simulator conditions. It was found that design details of the ROC study, namely the number of bins, the difficulty level of the images, the ratio of disease-present to disease-absent images and the unavoidable difference between laboratory and clinical performance levels, can lead to serious underestimation of the agreement as indicated by conventional agreement measures, even for perfectly correlated data, while rAUC showed high agreement and was relatively immune to these details. At the same time rAUC was sensitive to factors such

  11. Diagnostic imaging capabilities of the Ocelot -Optical Coherence Tomography System, ex-vivo evaluation and clinical relevance

    International Nuclear Information System (INIS)

    Dohad, Suhail; Shao, John; Cawich, Ian; Kankaria, Manish; Desai, Arjun

    2015-01-01

    Optical coherence tomography (OCT) is a high-resolution sub-surface imaging modality using near-infrared light to provide accurate and high contrast intra-vascular images. This enables accurate assessment of diseased arteries before and after intravascular intervention. This study was designed to corroborate diagnostic imaging equivalence between the Ocelot and the Dragonfly OCT systems with regards to the intravascular features that are most important in clinical management of patients with atherosclerotic vascular disease. These intravascular features were then corroborated in vivo during treatment of peripheral arterial disease (PAD) pathology using the Ocelot catheter. In order to compare the diagnostic information obtained by Ocelot (Avinger Inc., Redwood City, CA) and Dragonfly (St. Jude Medical, Minneapolis, MN) OCT systems, we utilized ex-vivo preparations of arterial segments. Ocelot and Dragonfly catheters were inserted into identical cadaveric femoral peripheral arteries for image acquisition and interpretation. Three independent physician interpreters assessed the images to establish accuracy and sensitivity of the diagnostic information. Histologic evaluation of the corresponding arterial segments provided the gold standard for image interpretation. In vivo clinical images were obtained during therapeutic interventions that included crossing of peripheral chronic total occlusions (CTOs) using the Ocelot catheter. Strong concordance was demonstrated when matching image characteristics between both OCT systems and histology. The Dragonfly and Ocelot system’s vessel features were interpreted with high sensitivity (91.1–100 %) and specificity (86.7–100 %). Inter-observer concordance was documented with excellent correlation across all vessel features. The clinical benefit that the Ocelot OCT system provided was demonstrated by comparable procedural images acquired at the point of therapy. The study demonstrates equivalence of image acquisition and

  12. Objective image quality parameters of relevance in practice, measured for film-screen combinations - a contribution to quality assurance activities

    International Nuclear Information System (INIS)

    Angerstein, W.; Wolf, M.

    1986-01-01

    Objective measurement of the physico-technical parameters determining the image quality is the fastest and most accurate method of quality testing of the systems. The parameters in case of X-ray intensifying screens are imaging quality, servicable life, and mechanical properties. (orig./DG) [de

  13. [Therapy relevant imaging in modern surgical treatment of arthrosis of the shoulder: interesting facts for orthopedic surgeons].

    Science.gov (United States)

    Krifter, R M; Zweiger, C; Lick-Schiffer, W; Mattiassich, G; Schüller-Weidekamm, C; Radl, R

    2013-03-01

    Imaging for shoulder surgery varies a lot nowadays. Advantages and disadvantages of possible imaging methods according to the pathology and treatment options are described. Digital projection radiography in 3 planes, ultrasonography, MRI, CT scanning and scintigrams. Special axial view to visualize the glenoid situation, as well as 3-D CT scanning for larger defects and classification. Imaging of the glenoid situation, the version and erosion in axial view x-ray is mandatory to plan and control glenoid replacement. Useful application of imaging methods for the daily routine of orthopedic surgeons. Digital 3 plane x-ray imaging in arthroplasty surgery is the minimum requirement. For rotator cuff lesions ultrasonography is good. In order to gain information on fatty infiltration of rotator muscles MRI is needed as well as for intra-articular lesions. For bony defects CT and reconstruction 3-D are recommended.

  14. Literatura surda: criação e produção de imagens e textos/Deaf literature: creation and construction of images and texts

    Directory of Open Access Journals (Sweden)

    Fabiano Souto Rosa

    2006-01-01

    Full Text Available O objetivo deste texto é analisar o uso da literatura como a construção da consciência de mundo, relacionando a interpretação com a realidade. A proposta é investigar a importância do uso da imagem e da linguagem na literatura, analisando a expressão de uma literatura surda. This paper aims to analyze the use of literature as the construction of world awareness, by relating interpretation and reality. We propose investigating the importance of using image and language in literature, by analyzing the expression of deaf literature.

  15. Framing Service, Benefit, and Credibility Through Images and Texts: A Content Analysis of Online Promotional Messages of Korean Medical Tourism Industry.

    Science.gov (United States)

    Jun, Jungmi

    2016-07-01

    This study examines how the Korean medical tourism industry frames its service, benefit, and credibility issues through texts and images of online brochures. The results of content analysis suggest that the Korean medical tourism industry attempts to frame their medical/health services as "excellence in surgeries and cancer care" and "advanced health technology and facilities." However, the use of cost-saving appeals was limited, which can be seen as a strategy to avoid consumers' association of lower cost with lower quality services, and to stress safety and credibility.

  16. Final Report Product Imaging of Molecular Dynamics Relevant to Combustion Grant No. DE-FG02-88ER13934

    International Nuclear Information System (INIS)

    Houston, Paul L.

    2005-01-01

    Product imaging has been used to investigate several processes important to a fundamental understanding of combustion. The imaging technique produces a ''snapshot'' of the three-dimensional velocity distribution of a state-selected reaction product. Research in three main areas is planned or underway. First, product imaging has been used to investigate the reactive scattering of radicals or atoms with species important in combustion. These experiments, while more difficult than studies of inelastic scattering or photodissociation, are now becoming feasible. They provide both product distributions of important processes as well as angular information important to the interpretation of reaction mechanisms. Second, the imaging technique has been used to measure rotationally inelastic energy transfer on collision of closed-shell species with important combustion radicals. Such measurements improve our knowledge of intramolecular potentials and provide important tests of ab initio calculations. Finally, experiments using product imaging have explored the vacuum ultraviolet photodissociation of O2, N2O, SO2, CO2 and other important species. Little is known about the highly excited electronic states of these molecules and, in particular, how they dissociate. These studies provide product vibrational energy distributions as well as angular information that can aid in understanding the symmetry and crossings among the excited electronic states

  17. Instant Sublime Text starter

    CERN Document Server

    Haughee, Eric

    2013-01-01

    A starter which teaches the basic tasks to be performed with Sublime Text with the necessary practical examples and screenshots. This book requires only basic knowledge of the Internet and basic familiarity with any one of the three major operating systems, Windows, Linux, or Mac OS X. However, as Sublime Text 2 is primarily a text editor for writing software, many of the topics discussed will be specifically relevant to software development. That being said, the Sublime Text 2 Starter is also suitable for someone without a programming background who may be looking to learn one of the tools of

  18. Assessment of relevant hepatic steatosis in obese adolescents by rapid fat-selective GRE imaging with spatial-spectral excitation: a quantitative comparison with spectroscopic findings

    International Nuclear Information System (INIS)

    Springer, Fabian; Schick, Fritz; Ehehalt, Stefan; Binder, Gerhard; Sommer, Julia; Ballweg, Verena; Machann, Juergen; Claussen, Claus D.

    2011-01-01

    To test the feasibility of fat-selective GRE imaging using a spectral-spatial excitation technique for determination of intrahepatic lipid content (IHL) in obese adolescents. Fat-selective MR imaging (1.5 T) was applied to record a single axial slice through a representative liver region within a single breath-hold. The sequence uses six equidistant slice-selective excitation pulses with binomial amplitude ratios to achieve high selectivity for lipid signals after appropriate shimming. IHL MRI content was quantified using signal intensity of adjacent subcutaneous adipose tissue. As the gold standard for IHL quantification, single-voxel stimulated echo magnetic resonance spectroscopy (MRS) was applied. IHL MRS was quantified using the water peak as a reference. Forty-five MR examinations could be performed, and IHL MRS content ranged from 0.7% to 19.1%. Results from MRS and fat-selective imaging correlated well with Spearman coefficients between r = 0.78 and r = 0.86. There were no relevant regional differences in IHL within the liver parenchyma (p > 0.6359). Fat-selective imaging was able to reliably identify patients with IHL content above 5% with positive/negative likelihood ratio of 11.8 and 0.05, respectively. Fat-selective MR imaging provides both a reliable and a convenient method of rapidly quantifying IHL content in obese adolescents. (orig.)

  19. Assessment of relevant hepatic steatosis in obese adolescents by rapid fat-selective GRE imaging with spatial-spectral excitation: a quantitative comparison with spectroscopic findings

    Energy Technology Data Exchange (ETDEWEB)

    Springer, Fabian; Schick, Fritz [University Hospital Tuebingen, Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, Tuebingen (Germany); University Hospital Tuebingen, Department of Diagnostic and Interventional Radiology, Tuebingen (Germany); Ehehalt, Stefan; Binder, Gerhard [University Children' s Hospital Tuebingen, Paediatric Endocrinology and Diabetes, Tuebingen (Germany); Sommer, Julia; Ballweg, Verena; Machann, Juergen [University Hospital Tuebingen, Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, Tuebingen (Germany); Claussen, Claus D. [University Hospital Tuebingen, Department of Diagnostic and Interventional Radiology, Tuebingen (Germany)

    2011-04-15

    To test the feasibility of fat-selective GRE imaging using a spectral-spatial excitation technique for determination of intrahepatic lipid content (IHL) in obese adolescents. Fat-selective MR imaging (1.5 T) was applied to record a single axial slice through a representative liver region within a single breath-hold. The sequence uses six equidistant slice-selective excitation pulses with binomial amplitude ratios to achieve high selectivity for lipid signals after appropriate shimming. IHL{sub MRI} content was quantified using signal intensity of adjacent subcutaneous adipose tissue. As the gold standard for IHL quantification, single-voxel stimulated echo magnetic resonance spectroscopy (MRS) was applied. IHL{sub MRS} was quantified using the water peak as a reference. Forty-five MR examinations could be performed, and IHL{sub MRS} content ranged from 0.7% to 19.1%. Results from MRS and fat-selective imaging correlated well with Spearman coefficients between r = 0.78 and r = 0.86. There were no relevant regional differences in IHL within the liver parenchyma (p > 0.6359). Fat-selective imaging was able to reliably identify patients with IHL content above 5% with positive/negative likelihood ratio of 11.8 and 0.05, respectively. Fat-selective MR imaging provides both a reliable and a convenient method of rapidly quantifying IHL content in obese adolescents. (orig.)

  20. A set of high quality colour images with Spanish norms for seven relevant psycholinguistic variables: the Nombela naming test.

    Science.gov (United States)

    Moreno-Martinez, Francisco Javier; Montoro, Pedro R; Laws, Keith R

    2011-05-01

    This paper presents a new corpus of 140 high quality colour images belonging to 14 subcategories and covering a range of naming difficulty. One hundred and six Spanish speakers named the items and provided data for several psycholinguistic variables: age of acquisition, familiarity, manipulability, name agreement, typicality and visual complexity. Furthermore, we also present lexical frequency data derived internet search hits. Apart from the large number of variables evaluated, these stimuli present an important advantage with respect to other comparable image corpora in so far as naming performance in healthy individuals is less prone to ceiling effect problems. Reliability and validity indexes showed that our items display similar psycholinguistic characteristics to those of other corpora. In sum, this set of ecologically valid stimuli provides a useful tool for scientists engaged in cognitive and neuroscience-based research.

  1. Diagnostic relevance of gadolinium-enhanced sequential MR imaging of the penis in patients with erectile dysfunctions

    International Nuclear Information System (INIS)

    Wein, B.; Sohn, M.; Ulose, K.; Bohndorf, K.

    1991-01-01

    This paper reports on a new functional approach, used to investigate the dynamic contrast enhancement of the penis. The inflow of Gd-DTPA in penile tissue was observed at 10-second intervals during two-dimensional FLASH MR imaging. Two dimensional FLASH gradient-echo sequences were applied in a coronal orientation through the most anterior part of the symphysis. Twelve to 15 minutes after intracavernosal injection of 20 μg of prostaglandin E1 or 25 mg of papaverine, enhancement of signal intensity in the corpora cavernosa was determined every 10 seconds for 3.5 minutes. One additional late image was obtained 10 minutes after injection. Seventy-five investigations were performed in 56 patients with proved organic erectile dysfunction. Calculated time-related Gd-DTPA uptake and intracavernosal distribution depend closely on etiology. Well-defined functional inflow patterns give hints as to the pathophysiologic cause of erectile dysfunction

  2. Basic pathologies of neurodegenerative dementias and their relevance for state-of-the-art molecular imaging studies

    International Nuclear Information System (INIS)

    Drzezga, Alexander

    2008-01-01

    Rising life-expectancy in the modern society has resulted in a rapidly growing prevalence of dementia, particularly of Alzheimer's disease (AD). Dementia turns into one of the most common age-related disorders with deleterious consequences for the concerned patients and their relatives, as well as worrying effects on the socio-economic systems. These facts justify strengthened scientific efforts to identify the pathologic origin of dementing disorders, to improve diagnosis, and to interfere therapeutically with the disease progression. In the recent years, remarkable progress has been made concerning the identification of molecular mechanisms underlying the pathology of neurodegenerative disorders. Growing evidence indicates that a common basis of many neurodegenerative dementias can be found in increased production, misfolding and pathological aggregation of proteins, such as ss-amyloid, tau protein, a-synuclein, or the recently described ubiquitinated TDP-43. This progressive insight in pathological processes is paralleled by the development of new therapeutic approaches. However, the exact contribution or mechanism of different pathologies with regard to the development of disease is not yet sufficiently clear. Considerable overlap of pathologies has been documented in different types of clinically defined dementias post mortem, and it has been difficult to correlate post mortem histopathology data with disease-expression during life. Molecular imaging procedures may play a valuable role to circumvent this limitation. In general, methods of molecular imaging have recently experienced an impressive advance, with numerous new and improved technologies emerging. These exciting tools may play a key role in the future regarding the evaluation of pathomechanisms, preclinical evaluation of new diagnostic procedures in animal models, selection of patients for clinical trials, and therapy monitoring. In this overview, molecular key pathologies, which are currently

  3. Relevance of 123I-BMIPP delayed scintigraphic imaging for patients with angina pectoris ? a pilot study

    OpenAIRE

    Koyama, Kohei; Akashi, Yoshihiro J.; Kida, Keisuke; Suzuki, Kengo; Ishibashi, Yuki; Musha, Haruki; Banach, Maciej

    2011-01-01

    Introduction The study was designed to clarify the role of 123I-?-methyl-iodophenylpentadecanoic acid (123I-BMIPP) in the evaluation of myocardial fatty acid metabolism in patients with stable angina pectoris (AP) before and after percutaneous coronary intervention (PCI). Material and methods Ten controls (mean age: 70.4 ?10.5 years) and 12 patients with AP (mean age: 67.4 ?11.6 years) and single vessel coronary artery disease participated in the radionuclide cardiac study. Scintigraphic imag...

  4. Virtual Whipple: preoperative surgical planning with volume-rendered MDCT images to identify arterial variants relevant to the Whipple procedure.

    Science.gov (United States)

    Brennan, Darren D; Zamboni, Giulia; Sosna, Jacob; Callery, Mark P; Vollmer, Charles M V; Raptopoulos, Vassilios D; Kruskal, Jonathan B

    2007-05-01

    The purposes of this study were to combine a thorough understanding of the technical aspects of the Whipple procedure with advanced rendering techniques by introducing a virtual Whipple procedure and to evaluate the utility of this new rendering technique in prediction of the arterial variants that cross the anticipated surgical resection plane. The virtual Whipple is a novel technique that follows the complex surgical steps in a Whipple procedure. Three-dimensional reconstructed angiographic images are used to identify arterial variants for the surgeon as part of the preoperative radiologic assessment of pancreatic and ampullary tumors.

  5. Clinically Relevant Subregions of Articular Cartilage of the Hip for Analysis and Reporting Quantitative Magnetic Resonance Imaging: A Technical Note.

    Science.gov (United States)

    Surowiec, Rachel K; Lucas, Erin P; Wilson, Katharine J; Saroki, Adriana J; Ho, Charles P

    2014-01-01

    Before quantitative imaging techniques can become clinically valuable, the method, and more specifically, the regions of locating and reporting these values should be standardized toward reproducibility comparisons across centers and longitudinal follow-up of individual patients. The purpose of this technical note is to describe a rigorous and reproducible method of locating, analyzing, and reporting quantitative MRI values in hip articular cartilage with an approach that is consistent with current orthopedic literature. To demonstrate this localization and documentation, 3 patients (age, 23 ± 5.1 years; 2 males, 1 female) who presented with symptomatic mixed-type femoroacetabular impingement (α angle, 63.3° ± 2.1°; center edge angle, 39° ± 4.2°) were evaluated with T2-mapping at 3 T MRI prior to hip arthroscopy. Manual segmentation was performed and cartilage of the acetabulum and femur was divided into 12 subregions adapted from the geographic zone method. Bone landmarks in the acetabulum and femur, identifiable both in arthroscopy and MR images, were manually selected and the coordinates exported for division of cartilage. Mean T2 values in each zone are presented. The current work outlines a standardized system to locate and describe quantitative mapping values that could aid in surgical decision making, planning, and the noninvasive longitudinal follow-up of implemented cartilage preservation and restoration techniques.

  6. Relevance of 123I-BMIPP delayed scintigraphic imaging for patients with angina pectoris – a pilot study

    Science.gov (United States)

    Koyama, Kohei; Akashi, Yoshihiro J.; Kida, Keisuke; Suzuki, Kengo; Ishibashi, Yuki; Musha, Haruki; Banach, Maciej

    2011-01-01

    Introduction The study was designed to clarify the role of 123I-β-methyl-iodophenylpentadecanoic acid (123I-BMIPP) in the evaluation of myocardial fatty acid metabolism in patients with stable angina pectoris (AP) before and after percutaneous coronary intervention (PCI). Material and methods Ten controls (mean age: 70.4 ±10.5 years) and 12 patients with AP (mean age: 67.4 ±11.6 years) and single vessel coronary artery disease participated in the radionuclide cardiac study. Scintigraphic images were acquired at 30 min and at 4 h after 123I-BMIPP injection to determine early and delayed BMIPP uptake, respectively. The heart-to-mediastinum (H/M) ratio and the washout rate (WR) were calculated from the planar images. All patients underwent scintigraphy one day before PCI and again 1 month after successful PCI. Results No significant differences in the early or delayed H/M ratios were observed between the patients and the controls before PCI (early: 2.70 ±0.36 vs. 2.73 ±0.57; delayed: 2.26 ±0.33 vs. 2.40 ±0.43; p > 0.2 for both). The early and delayed H/M ratios remained unchanged with the comparison with before PCI (early: 2.72 ±0.27, delayed: 2.23 ±0.22; p > 0.2 for both). The global WR before PCI was significantly higher in the patients than in the control group (36.7 ±9.3%, vs. 28.1 ±8.2%, p = 0.02). However, the WR after PCI did not significantly differ between the patients and the controls (34.3 ±7.8% vs. 28.1 ±8.2%, p = 0.1). Conclusions These data may suggest that the WR of 123I-BMIPP determined from the planar images enhances the presence of myocardial ischaemia. PMID:22295024

  7. Clinically relevant strategies for lowering cardiomyocyte glucose uptake for 18F-FDG imaging of myocardial inflammation in mice

    International Nuclear Information System (INIS)

    Thackeray, James T.; Bankstahl, Jens P.; Bengel, Frank M.; Wang, Yong; Wollert, Kai C.

    2015-01-01

    Myocardial inflammation is an emerging target for novel therapies and thus for molecular imaging. Positron emission tomography (PET) with 18 F-fluorodeoxyglucose (FDG) has been employed, but requires an approach for suppression of cardiomyocyte uptake. We tested clinically viable strategies for their suitability in mouse models in order to optimize preclinical imaging protocols. C57BL/6 mice (n = 56) underwent FDG PET under various conditions. In healthy animals, the effect of low-dose (5 units/kg) or high-dose (500 units/kg, 15 min prior) intravenous heparin, extended fasting (18 h) and the impact of conscious injection with limited, late application of isoflurane anaesthesia after 40 min of conscious uptake were examined in comparison to ketamine/xylazine anaesthesia. Conscious injection/uptake strategies were further evaluated at 3 days after permanent coronary artery occlusion. Under continuous isoflurane anaesthesia, neither heparin administration nor extended fasting significantly impacted myocardial 18 F-FDG accumulation. Injection with 40 min uptake in awake mice resulted in a marked reduction of global myocardial 18 F-FDG uptake compared to standard isoflurane anaesthesia (5.7 ± 1.1 %ID/g vs 30.2 ± 7.9 %ID/g, p < 0.01). Addition of heparin and fasting further reduced uptake compared to conscious injection alone (3.8 ± 1.5 %ID/g, p < 0.01) similar to ketamine/xylazine (2.4 ± 2.2 %ID/g, p < 0.001). In the inflammatory phase, 3 days after myocardial infarction, conscious injection/uptake with and without heparin/fasting identified a marked increase in myocardial 18 F-FDG accumulation that was similar to that observed under ketamine/xylazine. Continuous isoflurane anaesthesia obscures any suppressive effect of heparin or fasting on cardiomyocyte glucose utilization. Conscious injection of FDG in rodents significantly reduces cardiomyocyte uptake and enables further suppression by heparin and fasting, similar to clinical observations. In contrast to

  8. Clinically relevant strategies for lowering cardiomyocyte glucose uptake for {sup 18}F-FDG imaging of myocardial inflammation in mice

    Energy Technology Data Exchange (ETDEWEB)

    Thackeray, James T.; Bankstahl, Jens P.; Bengel, Frank M. [Hanover Medical School, Department of Nuclear Medicine, Hanover (Germany); Wang, Yong; Wollert, Kai C. [Hanover Medical School, Department of Cardiology and Angiology, Hanover (Germany)

    2015-04-01

    Myocardial inflammation is an emerging target for novel therapies and thus for molecular imaging. Positron emission tomography (PET) with {sup 18}F-fluorodeoxyglucose (FDG) has been employed, but requires an approach for suppression of cardiomyocyte uptake. We tested clinically viable strategies for their suitability in mouse models in order to optimize preclinical imaging protocols. C57BL/6 mice (n = 56) underwent FDG PET under various conditions. In healthy animals, the effect of low-dose (5 units/kg) or high-dose (500 units/kg, 15 min prior) intravenous heparin, extended fasting (18 h) and the impact of conscious injection with limited, late application of isoflurane anaesthesia after 40 min of conscious uptake were examined in comparison to ketamine/xylazine anaesthesia. Conscious injection/uptake strategies were further evaluated at 3 days after permanent coronary artery occlusion. Under continuous isoflurane anaesthesia, neither heparin administration nor extended fasting significantly impacted myocardial {sup 18}F-FDG accumulation. Injection with 40 min uptake in awake mice resulted in a marked reduction of global myocardial {sup 18}F-FDG uptake compared to standard isoflurane anaesthesia (5.7 ± 1.1 %ID/g vs 30.2 ± 7.9 %ID/g, p < 0.01). Addition of heparin and fasting further reduced uptake compared to conscious injection alone (3.8 ± 1.5 %ID/g, p < 0.01) similar to ketamine/xylazine (2.4 ± 2.2 %ID/g, p < 0.001). In the inflammatory phase, 3 days after myocardial infarction, conscious injection/uptake with and without heparin/fasting identified a marked increase in myocardial {sup 18}F-FDG accumulation that was similar to that observed under ketamine/xylazine. Continuous isoflurane anaesthesia obscures any suppressive effect of heparin or fasting on cardiomyocyte glucose utilization. Conscious injection of FDG in rodents significantly reduces cardiomyocyte uptake and enables further suppression by heparin and fasting, similar to clinical observations. In

  9. Clinical relevance of magnetic resonance imaging and magnetic resonance spectroscopy for the cirrhotic without overt hepatic encephalopathy

    Energy Technology Data Exchange (ETDEWEB)

    Fujishima, Yukou; Kato, Akinobu; Suzuki, Kazuyuki [Iwate Medical Univ., Morioka (Japan). School of Medicine

    1999-04-01

    To clarify the changes of pallidal high intensity on T1-weighted magnetic resonance imaging (MRI) and brain metabolites on magnetic resonance spectroscopy (MRS) as related to the severity of hepatic functions, the concentrations of blood ammonia (B-NH{sub 3}) and the levels of trace elements (Mn, Cu and Zn), 30 patients with liver cirrhosis without hepatic encephalopathy (HE) and 5 age-matched healthy control subjects underwent MRI and proton MRS. Pallidal high intensity (Pl index) and glutamine are higher in cirrhosis, and myo-inositol is lower than that of control statistically. In cirrhosis, there were statistically negative correlation between B-NH{sub 3} and myo-inositol and positive correlation between B-NH{sub 3} and glutamine. There was a statistically lower myo-inositol and higher Pl index, glutamine as the severity of hepatic functions increased. Furthermore there was a statistically positive correlation between Pl index and Mn. These data suggest that the changes of MRI and MRS findings already detected in cirrhosis without HE and these abnormalities may be reflect the B-NH{sub 3} and Mn metabolism and the severity of the hepatic functions. (author)

  10. Clinical relevance of magnetic resonance imaging and magnetic resonance spectroscopy for the cirrhotic without overt hepatic encephalopathy

    International Nuclear Information System (INIS)

    Fujishima, Yukou; Kato, Akinobu; Suzuki, Kazuyuki

    1999-01-01

    To clarify the changes of pallidal high intensity on T1-weighted magnetic resonance imaging (MRI) and brain metabolites on magnetic resonance spectroscopy (MRS) as related to the severity of hepatic functions, the concentrations of blood ammonia (B-NH 3 ) and the levels of trace elements (Mn, Cu and Zn), 30 patients with liver cirrhosis without hepatic encephalopathy (HE) and 5 age-matched healthy control subjects underwent MRI and proton MRS. Pallidal high intensity (Pl index) and glutamine are higher in cirrhosis, and myo-inositol is lower than that of control statistically. In cirrhosis, there were statistically negative correlation between B-NH 3 and myo-inositol and positive correlation between B-NH 3 and glutamine. There was a statistically lower myo-inositol and higher Pl index, glutamine as the severity of hepatic functions increased. Furthermore there was a statistically positive correlation between Pl index and Mn. These data suggest that the changes of MRI and MRS findings already detected in cirrhosis without HE and these abnormalities may be reflect the B-NH 3 and Mn metabolism and the severity of the hepatic functions. (author)

  11. Study of the photon flux from the night sky at La Palma and Namibia, in the wavelength region relevant for imaging atmospheric Cherenkov telescopes

    International Nuclear Information System (INIS)

    Preuss, S.; Hermann, G.; Hofmann, W.; Kohnle, A.

    2002-01-01

    The level of the night-sky background light at La Palma and Namibia was determined, with emphasis on the wavelength region and solid angle coverage relevant for the operation of imaging atmospheric Cherenkov telescopes. The dependence of the night-sky background light both on celestial coordinates (alt,az) and on galactic coordinates (b,l) was measured, with an angular resolution of about 1 deg. Average light levels near the zenith are similar in both locations -2.2x10 12 -2.6x10 12 photons sr -1 s -1 m -2 for 300 nm<λ<650 nm. With increasing zenith angle the level of background light increases at La Palma, whereas a constant level is measured in Namibia. Near the center of the Milky Way, background light levels are increased by a factor up to 4 and more. Also the level of light backscattered from the ground has been studied

  12. CT Imaging Findings and Their Relevance to the Clinical Outcomes After Stent Graft Repair of Penetrating Aortic Ulcers: Six-year, Single-center Experience

    Energy Technology Data Exchange (ETDEWEB)

    Shin, Ji Hoon [University of Ulsan College of Medicine, Asan Medical Center, Department of Radiology and Research Institute of Radiology (Korea, Republic of); Angle, John F.; Park, Auh Whan; Anderson, Curtis; Sabri, Saher S.; Turba, Ulku C. [University of Virginia Health System, Division of Angiography, Interventional Radiology and Special Procedures, Department of Radiology (United States); Kern, John A.; Cherry, Kenneth J. [University of Virginia Health System, Department of Surgery (United States); Matsumoto, Alan H., E-mail: ahm4d@virginia.edu [University of Virginia Health System, Division of Angiography, Interventional Radiology and Special Procedures, Department of Radiology (United States)

    2012-12-15

    Purpose: To present the computed tomographic (CT) imaging findings and their relevance to clinical outcomes related to stent graft placement in patients with penetrating aortic ulcers (PAUs). Methods: Medical and imaging records and imaging studies were reviewed for consecutive patients who underwent stent graft repair of a PAU. The distribution and characteristics of the PAU, technical success of stent graft repair, procedure-related complications, associated aortic wall abnormalities, and outcomes of the PAUs at follow-up CT scans were evaluated. Results: Fifteen patients underwent endovascular treatment for PAU. A total of 87% of the PAUs were in the proximal (n = 8) or distal (n = 5) descending thoracic aorta. There was a broad spectrum of PAU depth (mean, 7.9 {+-} 5.6 mm; range 1.5-25.0 mm) and diameter (mean, 13.5 {+-} 9.7 mm; range 2.2-41.0 mm). Atherosclerosis of the thoracic aorta and intramural hematoma were associated in 53 and 93% of the patients, respectively. Technical success was achieved in 100%. Two or more stent grafts were used in five patients. Endoleaks were observed in two patients within 2 weeks of the procedure, both of which resolved spontaneously. At follow-up CT scanning, regression and thrombosis of the PAUs were observed in all patients. The average patient survival was 61.8 months, with an overall mortality of 13% (2 of 15) at follow-up. Neither death was related to the endograft device or the PAU. Conclusion: Endovascular stent graft placement was safe and effective in causing regression and thrombosis of PAUs in this small series of patients. Two or more stent grafts were used in five patients (33%) with associated long-segmental atherosclerotic changes of the thoracic aorta or intramural hematoma.

  13. CT Imaging Findings and Their Relevance to the Clinical Outcomes After Stent Graft Repair of Penetrating Aortic Ulcers: Six-year, Single-center Experience

    International Nuclear Information System (INIS)

    Shin, Ji Hoon; Angle, John F.; Park, Auh Whan; Anderson, Curtis; Sabri, Saher S.; Turba, Ulku C.; Kern, John A.; Cherry, Kenneth J.; Matsumoto, Alan H.

    2012-01-01

    Purpose: To present the computed tomographic (CT) imaging findings and their relevance to clinical outcomes related to stent graft placement in patients with penetrating aortic ulcers (PAUs). Methods: Medical and imaging records and imaging studies were reviewed for consecutive patients who underwent stent graft repair of a PAU. The distribution and characteristics of the PAU, technical success of stent graft repair, procedure-related complications, associated aortic wall abnormalities, and outcomes of the PAUs at follow-up CT scans were evaluated. Results: Fifteen patients underwent endovascular treatment for PAU. A total of 87% of the PAUs were in the proximal (n = 8) or distal (n = 5) descending thoracic aorta. There was a broad spectrum of PAU depth (mean, 7.9 ± 5.6 mm; range 1.5–25.0 mm) and diameter (mean, 13.5 ± 9.7 mm; range 2.2–41.0 mm). Atherosclerosis of the thoracic aorta and intramural hematoma were associated in 53 and 93% of the patients, respectively. Technical success was achieved in 100%. Two or more stent grafts were used in five patients. Endoleaks were observed in two patients within 2 weeks of the procedure, both of which resolved spontaneously. At follow-up CT scanning, regression and thrombosis of the PAUs were observed in all patients. The average patient survival was 61.8 months, with an overall mortality of 13% (2 of 15) at follow-up. Neither death was related to the endograft device or the PAU. Conclusion: Endovascular stent graft placement was safe and effective in causing regression and thrombosis of PAUs in this small series of patients. Two or more stent grafts were used in five patients (33%) with associated long-segmental atherosclerotic changes of the thoracic aorta or intramural hematoma.

  14. Directed Activities Related to Text: Text Analysis and Text Reconstruction.

    Science.gov (United States)

    Davies, Florence; Greene, Terry

    This paper describes Directed Activities Related to Text (DART), procedures that were developed and are used in the Reading for Learning Project at the University of Nottingham (England) to enhance learning from texts and that fall into two broad categories: (1) text analysis procedures, which require students to engage in some form of analysis of…

  15. A Customizable Text Classifier for Text Mining

    Directory of Open Access Journals (Sweden)

    Yun-liang Zhang

    2007-12-01

    Full Text Available Text mining deals with complex and unstructured texts. Usually a particular collection of texts that is specified to one or more domains is necessary. We have developed a customizable text classifier for users to mine the collection automatically. It derives from the sentence category of the HNC theory and corresponding techniques. It can start with a few texts, and it can adjust automatically or be adjusted by user. The user can also control the number of domains chosen and decide the standard with which to choose the texts based on demand and abundance of materials. The performance of the classifier varies with the user's choice.

  16. Study of the anatomical position of the femoral nerve by magnetic resonance imaging in patients with fractured neck of femur: relevance to femoral nerve block.

    LENUS (Irish Health Repository)

    Mehmood, Shehzad

    2012-01-31

    STUDY OBJECTIVE: To determine the anatomical location of the femoral nerve in patients who have sustained fracture of the neck of femur, and its relevance to femoral nerve block technique. DESIGN: Prospective, observational clinical study. SETTING: Orthopedic and Radiology departments of a regional hospital. SUBJECTS: 10 consecutive adult ASA physical status II and III patients (mean age, 78.5 yrs) and 4 adult healthy volunteers. INTERVENTIONS: A T1 magnetic resonance imaging scan was performed of both upper thighs in patients and healthy volunteers successfully. MEASUREMENTS: The distance (mm) between the midpoint of the femoral artery and the midpoint of the femoral nerve, and the distance of the femoral nerve from the skin was measured at the mid-inguinal ligament, the pubic tubercle, and at the mid-inguinal crease. Data are shown as means (SD). Differences between both sides were compared using paired Student\\'s t-tests. P < 0.05 was significant. MAIN RESULTS: In patients the mean distance (mm) between the midpoint of the femoral nerve from the midpoint of femoral artery at the mid-inguinal crease on the fractured and non-fractured sides was 10.7 and 11.0, respectively (P = 0.87). The mean distance (mm) between the midpoint of the femoral nerve from the midpoint of the femoral artery at the mid-inguinal ligament on the fractured and non-fractured sides was 9.64 and 12.5, respectively (P = 0.03). The mean distance (mm) between the midpoint of the femoral nerve from the midpoint of the femoral artery at the pubic tubercle on the fractured and non-fractured sides was 8.74 and 10.49, respectively (P = 0.18). CONCLUSIONS: Blockade of the femoral nerve may be easier to perform at the mid-inguinal crease in patients with fractured neck of femur.

  17. User perspectives on relevance criteria

    DEFF Research Database (Denmark)

    Maglaughlin, Kelly L.; Sonnenwald, Diane H.

    2002-01-01

    , partially relevant, or not relevant to their information need; and explained their decisions in an interview. Analysis revealed 29 criteria, discussed positively and negatively, that were used by the participants when selecting passages that contributed or detracted from a document's relevance......This study investigates the use of criteria to assess relevant, partially relevant, and not-relevant documents. Study participants identified passages within 20 document representations that they used to make relevance judgments; judged each document representation as a whole to be relevant...... matter, thought catalyst), full text (e.g., audience, novelty, type, possible content, utility), journal/publisher (e.g., novelty, main focus, perceived quality), and personal (e.g., competition, time requirements). Results further indicate that multiple criteria are used when making relevant, partially...

  18. Text Maps: Helping Students Navigate Informational Texts.

    Science.gov (United States)

    Spencer, Brenda H.

    2003-01-01

    Notes that a text map is an instructional approach designed to help students gain fluency in reading content area materials. Discusses how the goal is to teach students about the important features of the material and how the maps can be used to build new understandings. Presents the procedures for preparing and using a text map. (SG)

  19. Interconnectedness und digitale Texte

    Directory of Open Access Journals (Sweden)

    Detlev Doherr

    2013-04-01

    PDF. This article focuses on the functionality of the Humboldt Digital Library (HDL, which is available for more than a decade and which provides digitized documents of Alexander von Humboldt in the English translations. Unlike a digital library, the HDL doesn’t provide only digitized documents as PDF or image formats with book scans, but the text itself is made ​​available as such and embedded into an information network. Therefore the system is representing an information system rather than a digital library, which is also reflected by the implemented functions for the search of texts in different versions and translations, comparisons of paragraphs of different documents or presentation of images in their contexts. The development of dynamic hyperlinks, based on the individual paragraphs in the Humboldt works in the form of media assets, enables the use of the Application Programming Interface (API of Google Maps for geographical as well as text content navigation. Beyond the services of a digital library the HDL provides a prototype of a multi-dimensional information system that works with dynamic structures and enables extensive thematic research and comparisons. Resumen Los servicios de información multimedia en Internet se están convirtiendo cada vez más comprensivos, incluso los documentos impresos son digitalizados y republicados, por las bibliotecas, como documentos Web digitales. Estos archivos digitales pueden ser encontrados por máquinas de búsqueda o herramientas administrativas, y proveerlos como archivos en formatos comunes como PDF. Este artículo se enfoca en la funcionalidad de la Biblioteca Digital Humboldt (HDL=Humboldt Digital Library, la cual está disponible por más de una década y provee documentos digitalizados de Alexander von Humboldt traducidos al inglés. A diferencia de una biblioteca digital, la HDL no provee solamente documentos digitales en PDF o en formatos de imagen de libros escaneados, sino el texto en sí mismo se

  20. MR imaging of patients with localisation-related seizures: initial experience at 3.0T and relevance to the NICE guidelines

    International Nuclear Information System (INIS)

    Griffiths, P.D.; Coley, S.C.; Connolly, D.J.A.; Hodgson, T.; Romanowski, C.A.J.; Widjaja, E.; Darwent, G.; Wilkinson, I.D.

    2005-01-01

    The purpose of this study is to describe our initial experience of imaging adults with localisation-related epilepsy using MR imaging at 3.0T. We discuss the findings in the context of the recently released NICE guidelines that provide detailed advice on imaging people with epilepsy in the UK. 120 consecutive people over the age of 16 years with localisation-related epilepsy were referred for clinical MR examinations from a regional neuroscience centre in England. None of the people had had MR examinations prior to the present study. High resolution MR imaging was performed taking advantage of the high field strength and high performance gradients of the system. Two experienced neuroradiologists reported on the examinations independently and the presence and type of pathology was recorded. There was complete agreement between the two reporters in all 120 cases. The overall frequency of abnormalities shown by MR was 31/120 (26%) and the commonest abnormality shown was mesial temporal sclerosis found in 10/120 (8%). Tumours were shown in 4/120, all of which appeared low grade as judged by imaging criteria. Epilepsy is the commonest neurological condition and demands a significant resource in order to provide good care for sufferers. Recent guidelines published in the UK have suggested that the majority of people with epilepsy should receive brain MR as part of their routine assessment. Our work shows that using the most sophisticated MR imaging in a highly selected population there is a modest pick-up rate of brain abnormalities. If a widespread epilepsy-imaging programme is started the detection rate is likely to be much lower. Although MR is acknowledged to be a reliable way of detecting pathology in people with epilepsy there is a dearth of information studying the health economics of imaging epilepsy in relation to patient management and outcomes

  1. Text-Fabric

    NARCIS (Netherlands)

    Roorda, Dirk

    2016-01-01

    Text-Fabric is a Python3 package for Text plus Annotations. It provides a data model, a text file format, and a binary format for (ancient) text plus (linguistic) annotations. The emphasis of this all is on: data processing; sharing data; and contributing modules. A defining characteristic is that

  2. Contextual Text Mining

    Science.gov (United States)

    Mei, Qiaozhu

    2009-01-01

    With the dramatic growth of text information, there is an increasing need for powerful text mining systems that can automatically discover useful knowledge from text. Text is generally associated with all kinds of contextual information. Those contexts can be explicit, such as the time and the location where a blog article is written, and the…

  3. XML and Free Text.

    Science.gov (United States)

    Riggs, Ken Roger

    2002-01-01

    Discusses problems with marking free text, text that is either natural language or semigrammatical but unstructured, that prevent well-formed XML from marking text for readily available meaning. Proposes a solution to mark meaning in free text that is consistent with the intended simplicity of XML versus SGML. (Author/LRW)

  4. Clinical Relevance of Adipokines

    Directory of Open Access Journals (Sweden)

    Matthias Blüher

    2012-10-01

    Full Text Available The incidence of obesity has increased dramatically during recent decades. Obesity increases the risk for metabolic and cardiovascular diseases and may therefore contribute to premature death. With increasing fat mass, secretion of adipose tissue derived bioactive molecules (adipokines changes towards a pro-inflammatory, diabetogenic and atherogenic pattern. Adipokines are involved in the regulation of appetite and satiety, energy expenditure, activity, endothelial function, hemostasis, blood pressure, insulin sensitivity, energy metabolism in insulin sensitive tissues, adipogenesis, fat distribution and insulin secretion in pancreatic β-cells. Therefore, adipokines are clinically relevant as biomarkers for fat distribution, adipose tissue function, liver fat content, insulin sensitivity, chronic inflammation and have the potential for future pharmacological treatment strategies for obesity and its related diseases. This review focuses on the clinical relevance of selected adipokines as markers or predictors of obesity related diseases and as potential therapeutic tools or targets in metabolic and cardiovascular diseases.

  5. Characteristics of images of angiographically proven normal coronary arteries acquired by adenosine-stress thallium-201 myocardial perfusion SPECT/CT-IQ[Symbol: see text]SPECT with CT attenuation correction changed stepwise.

    Science.gov (United States)

    Takahashi, Teruyuki; Tanaka, Haruki; Kozono, Nami; Tanakamaru, Yoshiki; Idei, Naomi; Ohashi, Norihiko; Ohtsubo, Hideki; Okada, Takenori; Yasunobu, Yuji; Kaseda, Shunichi

    2015-04-01

    Although several studies have shown the diagnostic and prognostic value of CT-based attenuation correction (AC) of single photon emission computed tomography (SPECT) images for diagnosing coronary artery disease (CAD), this issue remains a matter of debate. To clarify the characteristics of CT-AC SPECT images that might potentially improve diagnostic performance, we analyzed images acquired using adenosine-stress thallium-201 myocardial perfusion SPECT/CT equipped with IQ[Symbol: see text]SPECT (SPECT/CT-IQ[Symbol: see text]SPECT) from patients with angiographically proven normal coronary arteries after changing the CT attenuation correction (CT-AC) in a stepwise manner. We enrolled 72 patients (Male 36, Female 36) with normal coronary arteries according to findings of invasive coronary angiography or CT-angiography within three months after a SPECT/CT study. Projection images were reconstructed at CT-AC values of (-), 40, 60, 80 and 100 % using a CT number conversion program according to our definition and analyzed using polar maps according to sex. CT attenuation corrected segments were located from the mid- and apical-inferior spread through the mid- and apical-septal regions and finally to the basal-anterior and basal- and mid-lateral regions in males, and from the mid-inferior region through the mid-septal and mid-anterior, and mid-lateral regions in females as the CT-AC values increased. Segments with maximal mean counts shifted from the apical-anterior to mid-anterolateral region under both stress and rest conditions in males, whereas such segments shifted from the apical-septal to the mid-anteroseptal region under both stress and rest conditions in females. We clarified which part of the myocardium and to which degree CT-AC affects it in adenosine-stress thallium-201 myocardial perfusion SPECT/CT-IQ[Symbol: see text]SPECT images by changing the CT-AC value stepwise. We also identified sex-specific shifts of segments with maximal mean counts that changed as

  6. E-text

    DEFF Research Database (Denmark)

    Finnemann, Niels Ole

    2018-01-01

    text can be defined by taking as point of departure the digital format in which everything is represented in the binary alphabet. While the notion of text, in most cases, lends itself to be independent of medium and embodiment, it is also often tacitly assumed that it is, in fact, modeled around...... the print medium, rather than written text or speech. In late 20th century, the notion of text was subject to increasing criticism as in the question raised within literary text theory: is there a text in this class? At the same time, the notion was expanded by including extra linguistic sign modalities...

  7. Prognostic relevance of gemistocytic grade II astrocytoma: gemistocytic component and MR imaging features compared to non-gemistocytic grade II astrocytoma

    Energy Technology Data Exchange (ETDEWEB)

    Heo, Young Jin [Inje University, Busan Paik Hospital, Department of Radiology, Busan (Korea, Republic of); Park, Ji Eun; Kim, Ho Sung; Lee, Ji Ye; Jung, Seung Chai; Choi, Choong Gon; Kim, Sang Joon [University of Ulsan College of Medicine, Asan Medical Center, Department of Radiology and Research Institute of Radiology, Seoul (Korea, Republic of); Nam, Soo Jeong [University of Ulsan College of Medicine, Asan Medical Center, Department of Pathology, Seoul (Korea, Republic of)

    2017-07-15

    To determine if gemistocytic grade II astrocytoma (GemA) and its MR imaging characteristics are associated with a shorter time-to-progression (TTP) compared with non-gemistocytic grade II astrocytoma (non-GemA). We enrolled 78 patients who were followed up more than 5 years (29 pathologically proven GemA and 49 non-GemA) during a 10-year period. Contrast-enhanced T1-weighted, diffusion-weighted imaging (DWI), dynamic susceptibility contrast (DSC), and MR spectroscopy (MRS) and clinical data were retrospectively reviewed. Clinical and MR imaging features were analyzed as possible prognostic factors of high-grade transformation, and multivariate analysis of TTP was performed using Cox proportional modeling. GemA showed more frequent high-grade features than non-GemA, including diffusion restriction (P <.001), increased choline/creatine (P =.02), and increased choline/NAA ratio (P =.015). Patients with GemA had a significantly shorter median TTP (53.1 vs 68 months; P <.001). A gemistocytic histopathology (hazard ratio = 3.42; P =.015) and low ADC (hazard ratio = 3.61; P =.001) were independently associated with a shorter TTP. GemA can present with MR imaging findings mimicking high-grade glioma at initial diagnosis and transforms to high-grade disease earlier than non-GemA. Low ADC on DWI might be useful in stratifying the risk of progression in patients with grade II astrocytoma. (orig.)

  8. Texting on the Move

    Science.gov (United States)

    ... text. What's the Big Deal? The problem is multitasking. No matter how young and agile we are, ... on something other than the road. In fact, driving while texting (DWT) can be more dangerous than ...

  9. Text Coherence in Translation

    Science.gov (United States)

    Zheng, Yanping

    2009-01-01

    In the thesis a coherent text is defined as a continuity of senses of the outcome of combining concepts and relations into a network composed of knowledge space centered around main topics. And the author maintains that in order to obtain the coherence of a target language text from a source text during the process of translation, a translator can…

  10. Why relevance theory is relevant for lexicography

    DEFF Research Database (Denmark)

    Bothma, Theo; Tarp, Sven

    2014-01-01

    This article starts by providing a brief summary of relevance theory in information science in relation to the function theory of lexicography, explaining the different types of relevance, viz. objective system relevance and the subjective types of relevance, i.e. topical, cognitive, situational...... that is very important for lexicography as well as for information science, viz. functional relevance. Since all lexicographic work is ultimately aimed at satisfying users’ information needs, the article then discusses why the lexicographer should take note of all these types of relevance when planning a new...... dictionary project, identifying new tasks and responsibilities of the modern lexicographer. The article furthermore discusses how relevance theory impacts on teaching dictionary culture and reference skills. By integrating insights from lexicography and information science, the article contributes to new...

  11. Clinical relevance and indications for cardiac magnetic resonance imaging 2013. An interdisciplinary expert statement; Klinischer Stellenwert und Indikationen zur Magnetresonanztomografie des Herzens 2013. Ein interdisziplinaeres Expertenstatement

    Energy Technology Data Exchange (ETDEWEB)

    Hergan, Klaus [Universitaetsklinikum Salzburg (Austria). Universitaetsinst. fuer Radiologie; Globits, S. [Herz-Kreislauf-Zentrum Gross Gerungs (Austria); Schuchlenz, H. [Landeskrankenhaus Graz-West (Austria). Dept. fuer Kardiologie/Intensivmedizin] [and others

    2013-03-15

    During the last years the indications of Cardiac Magnetic Resonance Imaging (CMRI) have been continuously expanded. However, the acceptance of the method by cardiologists and radiologists does not correlate with respect to the diagnostic potential. Several factors, such as expensive equipment, relatively long examination times, high technical know how and lack of remuneration, limit the application of CMRI in everyday clinical practice. Furthermore, doctors tend to apply more conventional, well established diagnostic procedures, the access to the method is still limited and there exist difficulties in the interdisciplinary collaboration. The interdisciplinary Austrian approach to Cardiac Imaging is aimed to improve the aforementioned problems and to support the implementation of CMRI in the diagnostic tree of cardiac diseases thus enabling a cost efficient management of patients in cardiology. (orig.)

  12. Vocabulary Constraint on Texts

    Directory of Open Access Journals (Sweden)

    C. Sutarsyah

    2008-01-01

    Full Text Available This case study was carried out in the English Education Department of State University of Malang. The aim of the study was to identify and describe the vocabulary in the reading text and to seek if the text is useful for reading skill development. A descriptive qualitative design was applied to obtain the data. For this purpose, some available computer programs were used to find the description of vocabulary in the texts. It was found that the 20 texts containing 7,945 words are dominated by low frequency words which account for 16.97% of the words in the texts. The high frequency words occurring in the texts were dominated by function words. In the case of word levels, it was found that the texts have very limited number of words from GSL (General Service List of English Words (West, 1953. The proportion of the first 1,000 words of GSL only accounts for 44.6%. The data also show that the texts contain too large proportion of words which are not in the three levels (the first 2,000 and UWL. These words account for 26.44% of the running words in the texts.  It is believed that the constraints are due to the selection of the texts which are made of a series of short-unrelated texts. This kind of text is subject to the accumulation of low frequency words especially those of content words and limited of words from GSL. It could also defeat the development of students' reading skills and vocabulary enrichment.

  13. Dictionaries for text production

    DEFF Research Database (Denmark)

    Fuertes-Olivera, Pedro; Bergenholtz, Henning

    2018-01-01

    Dictionaries for Text Production are information tools that are designed and constructed for helping users to produce (i.e. encode) texts, both oral and written texts. These can be broadly divided into two groups: (a) specialized text production dictionaries, i.e., dictionaries that only offer...... a small amount of lexicographic data, most or all of which are typically used in a production situation, e.g. synonym dictionaries, grammar and spelling dictionaries, collocation dictionaries, concept dictionaries such as the Longman Language Activator, which is advertised as the World’s First Production...... Dictionary; (b) general text production dictionaries, i.e., dictionaries that offer all or most of the lexicographic data that are typically used in a production situation. A review of existing production dictionaries reveals that there are many specialized text production dictionaries but only a few general...

  14. Image fusion for enhanced forest structural assessment

    CSIR Research Space (South Africa)

    Roberts, JW

    2011-01-01

    Full Text Available This research explores the potential benefits of fusing active and passive medium resolution satellite-borne sensor data for forest structural assessment. Image fusion was applied as a means of retaining disparate data features relevant to modeling...

  15. Quantification of green fluorescent protein by in vivo imaging, PCR, and flow cytometry: comparison of transgenic strains and relevance for fetal cell microchimerism.

    Science.gov (United States)

    Fujiki, Yutaka; Tao, Kai; Bianchi, Diana W; Giel-Moloney, Maryann; Leiter, Andrew B; Johnson, Kirby L

    2008-02-01

    Animal models are increasingly being used for the assessment of fetal cell microchimerism in maternal tissue. We wished to determine the optimal transgenic mouse strain and analytic technique to facilitate the detection of rare transgenic microchimeric fetal cells amongst a large number of maternal wild-type cells. We evaluated two strains of mice transgenic for the enhanced green fluorescent protein (EGFP): a commercially available, commonly used strain (C57BL/6-Tg(ACTB-EGFP)10sb/J) (CAG) and a newly created strain (ROSA26-EGFP) using three different techniques: in vivo and ex vivo fluorescent imaging (for whole body and dissected organs, respectively), PCR amplification of gfp, and flow cytometry (FCM). By fluorescent imaging, organs from CAG mice were 10-fold brighter than organs from ROSA26-EGFP mice (P characteristics that make it useful under specific experimental circumstances. The CAG mouse model is preferable when experiments require brighter cells, whereas ROSA26-EGFP is more appropriate when uniform or ubiquitous expression is more important than brightness. Investigators must carefully select the transgenic strain most suited to the experimental design to obtain the most consistent and reproducible data. In vivo imaging allows for phenotypic evaluation of whole animals and intact organs; however, we did not evaluate its utility for the detection of rare, fetal microchimeric cells in the maternal organs. Finally, while PCR amplification of a paternally inherited transgene does allow for the quantitative determination of rare microchimeric cells, FCM allows for both quantitative and qualitative evaluations of fetal cells at very high sensitivity in a plethora of maternal organs. (c) 2008 International Society for Analytical Cytology

  16. Text mining by Tsallis entropy

    Science.gov (United States)

    Jamaati, Maryam; Mehri, Ali

    2018-01-01

    Long-range correlations between the elements of natural languages enable them to convey very complex information. Complex structure of human language, as a manifestation of natural languages, motivates us to apply nonextensive statistical mechanics in text mining. Tsallis entropy appropriately ranks the terms' relevance to document subject, taking advantage of their spatial correlation length. We apply this statistical concept as a new powerful word ranking metric in order to extract keywords of a single document. We carry out an experimental evaluation, which shows capability of the presented method in keyword extraction. We find that, Tsallis entropy has reliable word ranking performance, at the same level of the best previous ranking methods.

  17. Linguistics in Text Interpretation

    DEFF Research Database (Denmark)

    Togeby, Ole

    2011-01-01

    A model for how text interpretation proceeds from what is pronounced, through what is said to what is comunicated, and definition of the concepts 'presupposition' and 'implicature'.......A model for how text interpretation proceeds from what is pronounced, through what is said to what is comunicated, and definition of the concepts 'presupposition' and 'implicature'....

  18. LocText

    DEFF Research Database (Denmark)

    Cejuela, Juan Miguel; Vinchurkar, Shrikant; Goldberg, Tatyana

    2018-01-01

    trees and was trained and evaluated on a newly improved LocTextCorpus. Combined with an automatic named-entity recognizer, LocText achieved high precision (P = 86%±4). After completing development, we mined the latest research publications for three organisms: human (Homo sapiens), budding yeast...

  19. Systematic text condensation

    DEFF Research Database (Denmark)

    Malterud, Kirsti

    2012-01-01

    To present background, principles, and procedures for a strategy for qualitative analysis called systematic text condensation and discuss this approach compared with related strategies.......To present background, principles, and procedures for a strategy for qualitative analysis called systematic text condensation and discuss this approach compared with related strategies....

  20. The Perfect Text.

    Science.gov (United States)

    Russo, Ruth

    1998-01-01

    A chemistry teacher describes the elements of the ideal chemistry textbook. The perfect text is focused and helps students draw a coherent whole out of the myriad fragments of information and interpretation. The text would show chemistry as the central science necessary for understanding other sciences and would also root chemistry firmly in the…

  1. Text 2 Mind Map

    OpenAIRE

    Iona, John

    2017-01-01

    This is a review of the web resource 'Text 2 Mind Map' www.Text2MindMap.com. It covers what the resource is, and how it might be used in Library and education context, in particular for School Librarians.

  2. Text File Comparator

    Science.gov (United States)

    Kotler, R. S.

    1983-01-01

    File Comparator program IFCOMP, is text file comparator for IBM OS/VScompatable systems. IFCOMP accepts as input two text files and produces listing of differences in pseudo-update form. IFCOMP is very useful in monitoring changes made to software at the source code level.

  3. Deep learning relevance

    DEFF Research Database (Denmark)

    Lioma, Christina; Larsen, Birger; Petersen, Casper

    2016-01-01

    train a Recurrent Neural Network (RNN) on existing relevant information to that query. We then use the RNN to "deep learn" a single, synthetic, and we assume, relevant document for that query. We design a crowdsourcing experiment to assess how relevant the "deep learned" document is, compared...... to existing relevant documents. Users are shown a query and four wordclouds (of three existing relevant documents and our deep learned synthetic document). The synthetic document is ranked on average most relevant of all....

  4. Zum Bildungspotenzial biblischer Texte

    Directory of Open Access Journals (Sweden)

    Theis, Joachim

    2017-11-01

    Full Text Available Biblical education as a holistic process goes far beyond biblical learning. It must be understood as a lifelong process, in which both biblical texts and their understanders operate appropriating their counterpart in a dialogical way. – Neither does the recipient’s horizon of understanding appear as an empty room, which had to be filled with the text only, nor is the latter a dead material one could only examine cognitively. The recipient discovers the meaning of the biblical text recomposing it by existential appropriation. So the text is brought to live in each individual reality. Both scientific insights and subjective structures as well as the understanders’ community must be included to avoid potential one-sidednesses. Unfortunately, a special negative association obscures the approach of the bible very often: Still biblical work as part of religious education appears in a cognitively oriented habit, which is neither regarding the vitality and sovereignty of the biblical texts nor the students’ desire for meaning. Moreover, the bible is getting misused for teaching moral terms or pontifications. Such downfalls can be disrupted by biblical didactics which are empowerment didactics. Regarding the sovereignty of biblical texts, these didactics assist the understander with his/her individuation by opening the texts with focus on the understander’s otherness. Thus each the text and the recipient become subjects in a dialogue. The approach of the Biblical-Enabling-Didactics leads the Bible to become always new a book of life. Understanding them from within their hermeneutics, empowerment didactics could be raised to the principle of biblical didactics in general and grow into an essential element of holistic education.

  5. EST: Evading Scientific Text.

    Science.gov (United States)

    Ward, Jeremy

    2001-01-01

    Examines chemical engineering students' attitudes to text and other parts of English language textbooks. A questionnaire was administered to a group of undergraduates. Results reveal one way students get around the problem of textbook reading. (Author/VWL)

  6. nal Sesotho texts

    African Journals Online (AJOL)

    with literary texts written in indigenous South African languages. The project ... Homi Bhabha uses the words of Salman Rushdie to underline the fact that new .... I could not conceptualise an African-language-to-African-language dictionary. An.

  7. Plagiarism in Academic Texts

    Directory of Open Access Journals (Sweden)

    Marta Eugenia Rojas-Porras

    2012-08-01

    Full Text Available The ethical and social responsibility of citing the sources in a scientific or artistic work is undeniable. This paper explores, in a preliminary way, academic plagiarism in its various forms. It includes findings based on a forensic analysis. The purpose of this paper is to raise awareness on the importance of considering these details when writing and publishing a text. Hopefully, this analysis may put the issue under discussion.

  8. Machine Translation from Text

    Science.gov (United States)

    Habash, Nizar; Olive, Joseph; Christianson, Caitlin; McCary, John

    Machine translation (MT) from text, the topic of this chapter, is perhaps the heart of the GALE project. Beyond being a well defined application that stands on its own, MT from text is the link between the automatic speech recognition component and the distillation component. The focus of MT in GALE is on translating from Arabic or Chinese to English. The three languages represent a wide range of linguistic diversity and make the GALE MT task rather challenging and exciting.

  9. Profiles of Dialogue for Relevance

    Directory of Open Access Journals (Sweden)

    Douglas Walton

    2016-12-01

    Full Text Available This paper uses argument diagrams, argumentation schemes, and some tools from formal argumentation systems developed in artificial intelligence to build a graph-theoretic model of relevance shown to be applicable (with some extensions as a practical method for helping a third party judge issues of relevance or irrelevance of an argument in real examples. Examples used to illustrate how the method works are drawn from disputes about relevance in natural language discourse, including a criminal trial and a parliamentary debate.

  10. Fast processing of foreign fiber images by image blocking

    Directory of Open Access Journals (Sweden)

    Yutao Wu

    2014-08-01

    Full Text Available In the textile industry, it is always the case that cotton products are constitutive of many types of foreign fibers which affect the overall quality of cotton products. As the foundation of the foreign fiber automated inspection, image process exerts a critical impact on the process of foreign fiber identification. This paper presents a new approach for the fast processing of foreign fiber images. This approach includes five main steps, image block, image pre-decision, image background extraction, image enhancement and segmentation, and image connection. At first, the captured color images were transformed into gray-scale images; followed by the inversion of gray-scale of the transformed images ; then the whole image was divided into several blocks. Thereafter, the subsequent step is to judge which image block contains the target foreign fiber image through image pre-decision. Then we segment the image block via OSTU which possibly contains target images after background eradication and image strengthening. Finally, we connect those relevant segmented image blocks to get an intact and clear foreign fiber target image. The experimental result shows that this method of segmentation has the advantage of accuracy and speed over the other segmentation methods. On the other hand, this method also connects the target image that produce fractures therefore getting an intact and clear foreign fiber target image.

  11. Clinical relevance of F-18 FDG PET for imaging of neuroendocrine tumors; Wertigkeit der F-18-FDG-PET bei neuroendokrinen Tumoren

    Energy Technology Data Exchange (ETDEWEB)

    Adams, S. [Klinikum der Ruhr-Univ. Bochum - Marienhospital, Herne (Germany). Klinik fuer Radiologie und Nuklearmedizin; Baum, R.P. [Zentralklinik Bad Berka (Germany). Klinik fuer Nuklearmedizin/PET-Zentrum; Hoer, G. [Frankfurt Univ., Frankfurt am Main (Germany). Klinik fuer Nuklearmedizin

    2001-04-01

    Neuroendocrine tumors are characterized immunocytochemically by the expression of different peptides and biogenic amines. Hormones induce their biological action by binding to and stimulating specific membrane-associated receptors for e.g. somatostatin. The presence of somatostatin receptors (SR) has been described mainly in endocrine glands and the central nervous system. Interestingly, a large variety of human tumors, including gastroenteropancreatic (GEP) tumors and medullary thyroid carcinomas (MTC) also express a high density of SR and can be imaged with [{sup 111}In-DTPA-D-Phe{sup 1}]-pentetreotide. Cell proliferative activity is an important indicator of the growth of various malignant tumors associated with a poorer prognosis and Ki-67 expression. {sup 18}F-FDG is a marker of tumor viability, based upon the increased glycolysis that is associated with malignancy as compared with normal tissue. SR-containing neuroendocrine tumors are well-differentiated and tend to grow slowly. Furthermore, these tumors demonstrate inverse relationship between in vivo SR expression, cell proliferation (low Ki-67 expression) and FDG uptake (normal biodistribution). In comparison, less differentiated tumors, e.g. atypical carcinoids or MTC with increasing CEA levels show mitotic activity (high levels of Ki-67 immunoreactivity and increased FDG uptake) and often lack of SR. In conclusion, SR scintigraphy has been shown to localize well-differentiated neuroendocrine tumors. In contrast, PET imaging is valuable for predicting malignancy only in less differentiated tumors with incresed glucose metabolism. Therefore, an additional F-18 FDG PET should be performed if SR scintigraphy (GEP tumors) or combined imaging using [{sup 111}In-DTPA-D-Phe{sup 1}]-pentetreotide and {sup 99m}Tc(V)-DMSA (MTC) is negative. (orig.) [German] Neuroendokrine Tumoren werden durch die spezifische Produktion von Polypeptidhormonen und biogenen Aminen klassifiziert. Die Informationsuebertragung der

  12. Rhenium(V) oxo complexes relevant to technetium renal imaging agents derived from mercaptoacetylglycylglycylaminobenzoic acid isomers. Structural and molecular mechanics studies

    International Nuclear Information System (INIS)

    Hansen, L.; Taylor, A. Jr; Marzilli, L.G.; Cini, R.

    1992-01-01

    The synthesis and characterization of three rhenium(V) oxo complexes derived from isomers of mercaptoacetylglycylglycylaminobenzoic acid (MAG 2 -ABAH 5 ) are reported. The isomers were synthesized from o-, m- and p-aminobenzoic acid and differed in the position of the terminal carboxyl group. The anions of 8-10, [ReO(MAG 2 -*ABAH)] - (* = para (8), meta (9), ortho (10)), contained the tetraanionic form of the ligands with the carboxyl group protonated. Compounds 8,9, and 10 were synthesized by exchange reactions of ReOCl 3 (Me 2 SO)(Ph 3 P) under moderate conditions and were isolated as [Ph 4 P] + , [Bu 4 N] + , and [Ph 4 P] + salts, respectively. The structures of 8 and 10 were determined by X-ray diffraction methods; except for the location of the carboxyl group, the structures are similar. The coordination geometry is pseudo square pyramidal, with nitrogen and sulfur donor atoms forming a square base and the oxo ligand at the apex. The orientation of the carboxyl group in 10 is anti to the Re double-bond O group. Since the carboxyl groups are protonated in 8 and 10 and in other relevant structures from this class of radiopharmaceuticals including [Ph 4 As][TcO(MAG 3 H)] (MAG 3 H = tetraanionic form of mercaptoacetyltriglycine), the authors developed molecular mechanics parameters that allowed them to calculate the structures of 8, 10, and [TcO(MAG 3 H)] - . They then extended the calculations to all three isomeric complexes in their deprotonated forms and to [TcO(MAG 3 )] 2- in order to approximate their solution phase structures. They conclude that the [TcO(MAG 3 )] 2- species is conformationally flexible, and they have made an initial assessment of structures vs renal clearance

  13. Classical and ablative Richtmyer-Meshkov instability and other ICF-relevant plasma flows diagnosed with monochromatic x-ray imaging

    International Nuclear Information System (INIS)

    Aglitskiy, Y; Metzler, N; Karasik, M; Velikovich, A L; Zalesak, S T; Schmitt, A J; Serlin, V; Weaver, J; Obenschain, S P; Gardner, J H

    2008-01-01

    In inertial confinement fusion (ICF) and high-energy density physics (HEDP), the most important manifestations of the hydrodynamic instabilities and other mixing processes involve lateral motion of the accelerated plasmas. In order to understand the experimental observations and to advance the numerical simulation codes to the point of predictive capability, it is critically important to accurately diagnose the motion of the dense plasma mass. The most advanced diagnostic technique recently developed for this purpose is the monochromatic x-ray imaging that combines large field of view with high contrast, high spatial resolution and large throughput, ensuring high temporal resolution at large magnification. Its application made it possible for the experimentalists to observe for the first time important hydrodynamic effects that trigger compressible turbulent mixing in laser targets, such as ablative Richtmyer-Meshkov (RM) instability, feedout, interaction of an RM-unstable interface with shock and rarefaction waves. It also helped to substantially improve the accuracy of diagnosing many other important plasma flows, ranging from laser-produced jets to electromagnetically driven wires in a Z-pinch, and to test various methods suggested for mitigation of the Rayleigh-Taylor instability. We will review the results obtained with the aid of this technique in ICF-HEDP studies at the Naval Research Laboratory and the prospects of its future applications.

  14. Diagnostic value of transmural perfusion ratio derived from dynamic CT-based myocardial perfusion imaging for the detection of haemodynamically relevant coronary artery stenosis

    Energy Technology Data Exchange (ETDEWEB)

    Coenen, Adriaan; Lubbers, Marisa M.; Dedic, Admir; Chelu, Raluca G.; Geuns, Robert-Jan M. van; Nieman, Koen [Erasmus University Medical Center, Department of Radiology, Rotterdam (Netherlands); Erasmus University Medical Center, Department of Cardiology, Rotterdam (Netherlands); Kurata, Akira; Kono, Atsushi; Dijkshoorn, Marcel L. [Erasmus University Medical Center, Department of Radiology, Rotterdam (Netherlands); Rossi, Alexia [Erasmus University Medical Center, Department of Radiology, Rotterdam (Netherlands); Barts Health NHS Trust, NIHR Cardiovascular Biomedical Research Unit at Barts, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London and Department of Cardiology, London (United Kingdom)

    2017-06-15

    To investigate the additional value of transmural perfusion ratio (TPR) in dynamic CT myocardial perfusion imaging for detection of haemodynamically significant coronary artery disease compared with fractional flow reserve (FFR). Subjects with suspected or known coronary artery disease were prospectively included and underwent a CT-MPI examination. From the CT-MPI time-point data absolute myocardial blood flow (MBF) values were temporally resolved using a hybrid deconvolution model. An absolute MBF value was measured in the suspected perfusion defect. TPR was defined as the ratio between the subendocardial and subepicardial MBF. TPR and MBF results were compared with invasive FFR using a threshold of 0.80. Forty-three patients and 94 territories were analysed. The area under the receiver operator curve was larger for MBF (0.78) compared with TPR (0.65, P = 0.026). No significant differences were found in diagnostic classification between MBF and TPR with a territory-based accuracy of 77 % (67-86 %) for MBF compared with 70 % (60-81 %) for TPR. Combined MBF and TPR classification did not improve the diagnostic classification. Dynamic CT-MPI-based transmural perfusion ratio predicts haemodynamically significant coronary artery disease. However, diagnostic performance of dynamic CT-MPI-derived TPR is inferior to quantified MBF and has limited incremental value. (orig.)

  15. TEXT Energy Storage System

    International Nuclear Information System (INIS)

    Weldon, W.F.; Rylander, H.G.; Woodson, H.H.

    1977-01-01

    The Texas Experimental Tokamak (TEXT) Enery Storage System, designed by the Center for Electromechanics (CEM), consists of four 50 MJ, 125 V homopolar generators and their auxiliaries and is designed to power the toroidal and poloidal field coils of TEXT on a two-minute duty cycle. The four 50 MJ generators connected in series were chosen because they represent the minimum cost configuration and also represent a minimal scale up from the successful 5.0 MJ homopolar generator designed, built, and operated by the CEM

  16. Other relevant biological papers

    International Nuclear Information System (INIS)

    Shimizu, M.

    1989-01-01

    A considerable number of CRESP-relevant papers concerning deep-sea biology and radioecology have been published. It is the purpose of this study to call attention to them. They fall into three general categories. The first is papers of general interest. They are mentioned only briefly, and include text references to the global bibliography at the end of the volume. The second are papers that are not only mentioned and referenced, but for various reasons are described in abstract form. The last is a list of papers compiled by H.S.J. Roe specifically for this volume. They are listed in bibliographic form, and are also included in the global bibliography at the end of the volume

  17. New mathematical cuneiform texts

    CERN Document Server

    Friberg, Jöran

    2016-01-01

    This monograph presents in great detail a large number of both unpublished and previously published Babylonian mathematical texts in the cuneiform script. It is a continuation of the work A Remarkable Collection of Babylonian Mathematical Texts (Springer 2007) written by Jöran Friberg, the leading expert on Babylonian mathematics. Focussing on the big picture, Friberg explores in this book several Late Babylonian arithmetical and metro-mathematical table texts from the sites of Babylon, Uruk and Sippar, collections of mathematical exercises from four Old Babylonian sites, as well as a new text from Early Dynastic/Early Sargonic Umma, which is the oldest known collection of mathematical exercises. A table of reciprocals from the end of the third millennium BC, differing radically from well-documented but younger tables of reciprocals from the Neo-Sumerian and Old-Babylonian periods, as well as a fragment of a Neo-Sumerian clay tablet showing a new type of a labyrinth are also discussed. The material is presen...

  18. The Emar Lexical Texts

    NARCIS (Netherlands)

    Gantzert, Merijn

    2011-01-01

    This four-part work provides a philological analysis and a theoretical interpretation of the cuneiform lexical texts found in the Late Bronze Age city of Emar, in present-day Syria. These word and sign lists, commonly dated to around 1100 BC, were almost all found in the archive of a single school.

  19. Text Induced Spelling Correction

    NARCIS (Netherlands)

    Reynaert, M.W.C.

    2004-01-01

    We present TISC, a language-independent and context-sensitive spelling checking and correction system designed to facilitate the automatic removal of non-word spelling errors in large corpora. Its lexicon is derived from a very large corpus of raw text, without supervision, and contains word

  20. Texts and Readers.

    Science.gov (United States)

    Iser, Wolfgang

    1980-01-01

    Notes that, since fictional discourse need not reflect prevailing systems of meaning and norms or values, readers gain detachment from their own presuppositions; by constituting and formulating text-sense, readers are constituting and formulating their own cognition and becoming aware of the operations for doing so. (FL)

  1. Documents and legal texts

    International Nuclear Information System (INIS)

    2017-01-01

    This section treats of the following documents and legal texts: 1 - Belgium 29 June 2014 - Act amending the Act of 22 July 1985 on Third-Party Liability in the Field of Nuclear Energy; 2 - Belgium, 7 December 2016. - Act amending the Act of 22 July 1985 on Third-Party Liability in the Field of Nuclear Energy

  2. Osteoarthritis of the carpometacarpal joint of the thumb: a new MR imaging technique for the standardized detection of relevant ligamental lesions

    Energy Technology Data Exchange (ETDEWEB)

    Dumont, Clemens [University Medical Center Goettingen, Department of Trauma Surgery, Plastic and Reconstructive Surgery, Goettingen (Germany); Georg-August-Universitaet, Department of Trauma Surgery, Plastic and Reconstructive Surgery, Goettingen (Germany); Lerzer, Sebastian; Tezval, Mohammad; Stuermer, Klaus Michael [University Medical Center Goettingen, Department of Trauma Surgery, Plastic and Reconstructive Surgery, Goettingen (Germany); Vafa, Morad Ali; Lotz, Joachim [University Medical Center Goettingen, Department of Diagnostic Radiology and Interventional Radiology, Goettingen (Germany); Dechent, Peter [University Medical Center Goettingen, MR-Research in Neurology and Psychiatry, Department of Cognitive Neurology, Goettingen (Germany)

    2014-10-15

    To assess ligament lesions and subluxations of the carpometacarpal joints of the thumbs (CMC I) of asymptomatic volunteers and of patients with CMC I osteoarthritis using advanced magnetic resonance imaging (MRI). A total of 20 CMC I joints of 14 asymptomatic volunteers (6 x both sides) and 28 CMC I joints of 22 patients (6 x both sides) with symptomatic and X-ray-diagnosed osteoarthritis of CMC I joints were studied. During extension, flexion, abduction and adduction of the thumb, the anterior oblique (AOL), intermetacarpal (IML), posterior oblique (POL) and dorsal radial (DRL) ligaments were evaluated using 3-T MRI on two standard planes, and translation of metacarpal I (MC I) was assessed. The MRI demonstrated that ligament lesions of the AOL and IML are frequent. Isolated rupture of the AOL was found in 6 of 28 (21 %), combined rupture of the AOL + IML in 5 of 28 (18 %) and isolated IML rupture in 4 of 28 (14 %) joints. The patients had a significantly increased dorsal translation of MC I during extension with a median of 6.4 mm vs. 5.4 mm in asymptomatic volunteers (p < 0.05). MRIs of CMC I in two standardized planes frequently show combined ligament ruptures. The dorsal subluxation of MC I, which is increased in patients, correlates with OA severity based on X-ray and can be quantified by MRI. For joint-preserving surgical procedures and for prosthesis implantation of the CMC I, we recommend performing an MRI in two planes of the thumb - extension and abduction - to evaluate the ligaments and dorsal subluxation of MC I. (orig.)

  3. Strategy as Texts

    DEFF Research Database (Denmark)

    Obed Madsen, Søren

    of the strategy into four categories. Second, the managers produce new texts based on the original strategy document by using four different ways of translation models. The study’s findings contribute to three areas. Firstly, it shows that translation is more than a sociological process. It is also...... a craftsmanship that requires knowledge and skills, which unfortunately seems to be overlooked in both the literature and in practice. Secondly, it shows that even though a strategy text is in singular, the translation makes strategy plural. Thirdly, the article proposes a way to open up the black box of what......This article shows empirically how managers translate a strategy plan at an individual level. By analysing how managers in three organizations translate strategies, it identifies that the translation happens in two steps: First, the managers decipher the strategy by coding the different parts...

  4. Classifying Written Texts Through Rhythmic Features

    NARCIS (Netherlands)

    Balint, Mihaela; Dascalu, Mihai; Trausan-Matu, Stefan

    2016-01-01

    Rhythm analysis of written texts focuses on literary analysis and it mainly considers poetry. In this paper we investigate the relevance of rhythmic features for categorizing texts in prosaic form pertaining to different genres. Our contribution is threefold. First, we define a set of rhythmic

  5. Text Structure and Retention of Prose.

    Science.gov (United States)

    Zimmer, John W.

    1985-01-01

    The effects of text structure were studied using two kinds of reading materials: a standard text with headings and illustrations, as well as a nonstructured manuscript. The manuscript readers scored higher on delayed tests, generated more relevant ideas, and wrote better essays both immediately and after a delay. (Author/GDC)

  6. Tourist destination image

    Directory of Open Access Journals (Sweden)

    Korićanin Maja

    2008-01-01

    Full Text Available In taking an advantages in tourism seems that image of specific tourist destination play an important role. This is very complex process but also a target for a wide list of potential stakeholders - not only organizations in this industry. Paper discuss a few relevant issues in connection to importance as well as development process of creating an image of tourist destination including well known Anhold model.

  7. The Development of Relevance in Information Retrieval

    Directory of Open Access Journals (Sweden)

    Mu-hsuan Huang

    1997-12-01

    Full Text Available This article attempts to investigate the notion of relevance in information retrieval. It discusses various definitions for relevance from historical viewpoints and the characteristics of relevance judgments. Also, it introduces empirical results of important related researches.[Article content in Chinese

  8. Reading Authentic Texts

    DEFF Research Database (Denmark)

    Balling, Laura Winther

    2013-01-01

    Most research on cognates has focused on words presented in isolation that are easily defined as cognate between L1 and L2. In contrast, this study investigates what counts as cognate in authentic texts and how such cognates are read. Participants with L1 Danish read news articles in their highly...... proficient L2, English, while their eye-movements were monitored. The experiment shows a cognate advantage for morphologically simple words, but only when cognateness is defined relative to translation equivalents that are appropriate in the context. For morphologically complex words, a cognate disadvantage...... word predictability indexed by the conditional probability of each word....

  9. Documents and legal texts

    International Nuclear Information System (INIS)

    2016-01-01

    This section treats of the following documents and legal texts: 1 - Brazil: Law No. 13,260 of 16 March 2016 (To regulate the provisions of item XLIII of Article 5 of the Federal Constitution on terrorism, dealing with investigative and procedural provisions and redefining the concept of a terrorist organisation; and amends Laws No. 7,960 of 21 December 1989 and No. 12,850 of 2 August 2013); 2 - India: The Atomic Energy (Amendment) Act, 2015; Department Of Atomic Energy Notification (Civil Liability for Nuclear Damage); 3 - Japan: Act on Subsidisation, etc. for Nuclear Damage Compensation Funds following the implementation of the Convention on Supplementary Compensation for Nuclear Damage

  10. Journalistic Text Production

    DEFF Research Database (Denmark)

    Haugaard, Rikke Hartmann

    , a multiple case study investigated three professional text producers’ practices as they unfolded in their natural setting at the Spanish newspaper, El Mundo. • Results indicate that journalists’ revisions are related to form markedly more often than to content. • Results suggest two writing phases serving...... at the Spanish newspaper, El Mundo, in Madrid. The study applied a combination of quantitative and qualitative methods, i.e. keystroke logging, participant observation and retrospective interview. Results indicate that journalists’ revisions are related to form markedly more often than to content (approx. three...

  11. Weitere Texte physiognomischen Inhalts

    Directory of Open Access Journals (Sweden)

    Böck, Barbara

    2004-12-01

    Full Text Available The present article offers the edition of three cuneiform texts belonging to the Akkadian handbook of omens drawn from the physical appearance as well as the morals and behaviour of man. The book comprising up to 27 chapters with more than 100 omens each was entitled in antiquity Alamdimmû. The edition of the three cuneiform tablets completes, thus, the author's monographic study on the ancient Mesopotamian divinatory discipline of physiognomy (Die babylonisch-assyrische Morphoskopie (Wien 2000 [=AfO Beih. 27].

    En este artículo se presenta la editio princeps de tres textos cuneiformes conservados en el British Museum (Londres y el Vorderasiatisches Museum (Berlín, que pertenecen al libro asirio-babilonio de presagios fisiognómicos. Este libro, titulado originalmente Alamdimmû ('forma, figura', consta de 27 capítulos, cada uno con más de cien presagios escritos en lengua acadia. Los tres textos completan así el estudio monográfico de la autora sobre la disciplina adivinatoria de la fisiognomía en el antiguo Oriente (Die babylonisch-assyrische Morphoskopie (Wien 2000 [=AfO Beih. 27].

  12. Utah Text Retrieval Project

    Energy Technology Data Exchange (ETDEWEB)

    Hollaar, L A

    1983-10-01

    The Utah Text Retrieval project seeks well-engineered solutions to the implementation of large, inexpensive, rapid text information retrieval systems. The project has three major components. Perhaps the best known is the work on the specialized processors, particularly search engines, necessary to achieve the desired performance and cost. The other two concern the user interface to the system and the system's internal structure. The work on user interface development is not only concentrating on the syntax and semantics of the query language, but also on the overall environment the system presents to the user. Environmental enhancements include convenient ways to browse through retrieved documents, access to other information retrieval systems through gateways supporting a common command interface, and interfaces to word processing systems. The system's internal structure is based on a high-level data communications protocol linking the user interface, index processor, search processor, and other system modules. This allows them to be easily distributed in a multi- or specialized-processor configuration. It also allows new modules, such as a knowledge-based query reformulator, to be added. 15 references.

  13. COLOR IMAGES

    Directory of Open Access Journals (Sweden)

    Dominique Lafon

    2011-05-01

    Full Text Available The goal of this article is to present specific capabilities and limitations of the use of color digital images in a characterization process. The whole process is investigated, from the acquisition of digital color images to the analysis of the information relevant to various applications in the field of material characterization. A digital color image can be considered as a matrix of pixels with values expressed in a vector-space (commonly 3 dimensional space whose specificity, compared to grey-scale images, is to ensure a coding and a representation of the output image (visualisation printing that fits the human visual reality. In a characterization process, it is interesting to regard color image attnbutes as a set of visual aspect measurements on a material surface. Color measurement systems (spectrocolorimeters, colorimeters and radiometers and cameras use the same type of light detectors: most of them use Charge Coupled Devices sensors. The difference between the two types of color data acquisition systems is that color measurement systems provide a global information of the observed surface (average aspect of the surface: the color texture is not taken into account. Thus, it seems interesting to use imaging systems as measuring instruments for the quantitative characterization of the color texture.

  14. Documents and legal texts

    International Nuclear Information System (INIS)

    2013-01-01

    This section reprints a selection of recently published legislative texts and documents: - Russian Federation: Federal Law No.170 of 21 November 1995 on the use of atomic energy, Adopted by the State Duma on 20 October 1995; - Uruguay: Law No.19.056 On the Radiological Protection and Safety of Persons, Property and the Environment (4 January 2013); - Japan: Third Supplement to Interim Guidelines on Determination of the Scope of Nuclear Damage resulting from the Accident at the Tokyo Electric Power Company Fukushima Daiichi and Daini Nuclear Power Plants (concerning Damages related to Rumour-Related Damage in the Agriculture, Forestry, Fishery and Food Industries), 30 January 2013; - France and the United States: Joint Statement on Liability for Nuclear Damage (Aug 2013); - Franco-Russian Nuclear Power Declaration (1 November 2013)

  15. Forensic age estimation by magnetic resonance imaging of the knee: the definite relevance in bony fusion of the distal femoral- and the proximal tibial epiphyses using closest-to-bone T1 TSE sequence

    Energy Technology Data Exchange (ETDEWEB)

    Ottow, Christian; Heindel, Walter [University Hospital Muenster, Department of Clinical Radiology, Muenster (Germany); Schulz, Ronald; Pfeiffer, Heidi; Schmeling, Andreas [University Hospital Muenster, Institute of Legal Medicine, Muenster (Germany); Vieth, Volker [University Hospital Muenster, Department of Clinical Radiology, Muenster (Germany); Klinikum Ibbenbueren, Clinic for Radiology, Ibbenbueren (Germany)

    2017-12-15

    To clarify the relevance of the bony fusion of the distal femoral and the proximal tibial epiphyses by means of magnetic resonance imaging (MRI), a prospective cross-sectional cohort study was performed with a special focus on a reliable determination of the 14th, 16th and 18th years of life. We scanned 658 German volunteers in the age bracket 12-24 years using a 3.0 T MR-scanner and utilising a T1 turbo spin-echo sequence representing true bone anatomy. Minimum, maximum, mean ± standard deviation and median with lower and upper quartiles were defined. Intra- and interobserver agreements were determined (Cohen's kappa). The statistical relevance of sex-related differences was analysed (Mann-Whitney U test, p < 0.05, exact, two-sided). The bony fusion took place before the 18th year of life in both epiphyses. The Mann-Whitney U test results imply significant sex-related differences for most stages. For both epiphyses, the intra observer (κ femur 0.961; tibia 0.971) and interobserver (κ femur 0.941; tibia 0.951) agreement levels were very good. The 14th and the 16th years of life can be determined in both sexes, but the completion of the 18th year of life cannot solely be determined by the bony fusion, as depicted by closest-to-bone MRI. (orig.)

  16. Forensic age estimation by magnetic resonance imaging of the knee: the definite relevance in bony fusion of the distal femoral- and the proximal tibial epiphyses using closest-to-bone T1 TSE sequence

    International Nuclear Information System (INIS)

    Ottow, Christian; Heindel, Walter; Schulz, Ronald; Pfeiffer, Heidi; Schmeling, Andreas; Vieth, Volker

    2017-01-01

    To clarify the relevance of the bony fusion of the distal femoral and the proximal tibial epiphyses by means of magnetic resonance imaging (MRI), a prospective cross-sectional cohort study was performed with a special focus on a reliable determination of the 14th, 16th and 18th years of life. We scanned 658 German volunteers in the age bracket 12-24 years using a 3.0 T MR-scanner and utilising a T1 turbo spin-echo sequence representing true bone anatomy. Minimum, maximum, mean ± standard deviation and median with lower and upper quartiles were defined. Intra- and interobserver agreements were determined (Cohen's kappa). The statistical relevance of sex-related differences was analysed (Mann-Whitney U test, p < 0.05, exact, two-sided). The bony fusion took place before the 18th year of life in both epiphyses. The Mann-Whitney U test results imply significant sex-related differences for most stages. For both epiphyses, the intra observer (κ femur 0.961; tibia 0.971) and interobserver (κ femur 0.941; tibia 0.951) agreement levels were very good. The 14th and the 16th years of life can be determined in both sexes, but the completion of the 18th year of life cannot solely be determined by the bony fusion, as depicted by closest-to-bone MRI. (orig.)

  17. Documents and legal texts

    International Nuclear Information System (INIS)

    2015-01-01

    This section treats of the following Documents and legal texts: 1 - Canada: Nuclear Liability and Compensation Act (An Act respecting civil liability and compensation for damage in case of a nuclear incident, repealing the Nuclear Liability Act and making consequential amendments to other acts); 2 - Japan: Act on Compensation for Nuclear Damage (The purpose of this act is to protect persons suffering from nuclear damage and to contribute to the sound development of the nuclear industry by establishing a basic system regarding compensation in case of nuclear damage caused by reactor operation etc.); Act on Indemnity Agreements for Compensation of Nuclear Damage; 3 - Slovak Republic: Act on Civil Liability for Nuclear Damage and on its Financial Coverage and on Changes and Amendments to Certain Laws (This Act regulates: a) The civil liability for nuclear damage incurred in the causation of a nuclear incident, b) The scope of powers of the Nuclear Regulatory Authority (hereinafter only as the 'Authority') in relation to the application of this Act, c) The competence of the National Bank of Slovakia in relation to the supervised financial market entities in the financial coverage of liability for nuclear damage; and d) The penalties for violation of this Act)

  18. Documents and legal texts

    International Nuclear Information System (INIS)

    2014-01-01

    This section of the Bulletin presents the recently published documents and legal texts sorted by country: - Brazil: Resolution No. 169 of 30 April 2014. - Japan: Act Concerning Exceptions to Interruption of Prescription Pertaining to Use of Settlement Mediation Procedures by the Dispute Reconciliation Committee for Nuclear Damage Compensation in relation to Nuclear Damage Compensation Disputes Pertaining to the Great East Japan Earthquake (Act No. 32 of 5 June 2013); Act Concerning Measures to Achieve Prompt and Assured Compensation for Nuclear Damage Arising from the Nuclear Plant Accident following the Great East Japan Earthquake and Exceptions to the Extinctive Prescription, etc. of the Right to Claim Compensation for Nuclear Damage (Act No. 97 of 11 December 2013); Fourth Supplement to Interim Guidelines on Determination of the Scope of Nuclear Damage Resulting from the Accident at the Tokyo Electric Power Company Fukushima Daiichi and Daini Nuclear Power Plants (Concerning Damages Associated with the Prolongation of Evacuation Orders, etc.); Outline of 'Fourth Supplement to Interim Guidelines (Concerning Damages Associated with the Prolongation of Evacuation Orders, etc.)'. - OECD Nuclear Energy Agency: Decision and Recommendation of the Steering Committee Concerning the Application of the Paris Convention to Nuclear Installations in the Process of Being Decommissioned; Joint Declaration on the Security of Supply of Medical Radioisotopes. - United Arab Emirates: Federal Decree No. (51) of 2014 Ratifying the Convention on Supplementary Compensation for Nuclear Damage; Ratification of the Federal Supreme Council of Federal Decree No. (51) of 2014 Ratifying the Convention on Supplementary Compensation for Nuclear Damage

  19. How to interpret an unenhanced CT Brain scan. Part 1: Basic principles of Computed Tomography and relevant neuroanatomy

    Directory of Open Access Journals (Sweden)

    Thomas Osborne

    2016-08-01

    Full Text Available The aim of this article is to: Cover the basics of Computed Tomography (CT Brain imaging. Review relevant CT neuroanatomy. A CT image is produced by firing x-rays at a moving object which is then detected by an array of rotating detectors (Figure 1. The detected x-rays are then converted into a computerised signal which is used to produce a series of cross sectional images.

  20. The Medline/full-text research project.

    Science.gov (United States)

    McKinin, E J; Sievert, M; Johnson, E D; Mitchell, J A

    1991-05-01

    This project was designed to test the relative efficacy of index terms and full-text for the retrieval of documents in those MEDLINE journals for which full-text searching was also available. The full-text files used were MEDIS from Mead Data Central and CCML from BRS Information Technologies. One hundred clinical medical topics were searched in these two files as well as the MEDLINE file to accumulate the necessary data. It was found that full-text identified significantly more relevant articles than did the indexed file, MEDLINE. The full-text searches, however, lacked the precision of searches done in the indexed file. Most relevant items missed in the full-text files, but identified in MEDLINE, were missed because the searcher failed to account for some aspect of natural language, used a logical or positional operator that was too restrictive, or included a concept which was implied, but not expressed in the natural language. Very few of the unique relevant full-text citations would have been retrieved by title or abstract alone. Finally, as of July, 1990 the more current issue of a journal was just as likely to appear in MEDLINE as in one of the full-text files.

  1. Text Mining for Protein Docking.

    Directory of Open Access Journals (Sweden)

    Varsha D Badal

    2015-12-01

    Full Text Available The rapidly growing amount of publicly available information from biomedical research is readily accessible on the Internet, providing a powerful resource for predictive biomolecular modeling. The accumulated data on experimentally determined structures transformed structure prediction of proteins and protein complexes. Instead of exploring the enormous search space, predictive tools can simply proceed to the solution based on similarity to the existing, previously determined structures. A similar major paradigm shift is emerging due to the rapidly expanding amount of information, other than experimentally determined structures, which still can be used as constraints in biomolecular structure prediction. Automated text mining has been widely used in recreating protein interaction networks, as well as in detecting small ligand binding sites on protein structures. Combining and expanding these two well-developed areas of research, we applied the text mining to structural modeling of protein-protein complexes (protein docking. Protein docking can be significantly improved when constraints on the docking mode are available. We developed a procedure that retrieves published abstracts on a specific protein-protein interaction and extracts information relevant to docking. The procedure was assessed on protein complexes from Dockground (http://dockground.compbio.ku.edu. The results show that correct information on binding residues can be extracted for about half of the complexes. The amount of irrelevant information was reduced by conceptual analysis of a subset of the retrieved abstracts, based on the bag-of-words (features approach. Support Vector Machine models were trained and validated on the subset. The remaining abstracts were filtered by the best-performing models, which decreased the irrelevant information for ~ 25% complexes in the dataset. The extracted constraints were incorporated in the docking protocol and tested on the Dockground unbound

  2. A Casa de Geraldo de Paula Souza: texto e imagem sobre um sanitarista paulista The House of Geraldo de Paula Souza: text and image of a sanitarian from São Paulo

    Directory of Open Access Journals (Sweden)

    Lina Faria

    2005-12-01

    Full Text Available O presente texto busca estudar um capítulo importante da institucionalização da 'ciência aplicada' no Brasil. Não se trata de um estudo dos pressupostos ou paradigmas científicos, mas de imagens da história da institucionalização da ciência em São Paulo. O texto trata de uma instituição fortalecida ao longo de várias décadas, sob uma liderança que Robert K. Merton chamaria de 'catalisadora'. Através do riquíssimo material iconográfico deixado pelo médico sanitarista Geraldo Horácio de Paula Souza foi possível reconstruir um período importante da atuação profissional desse grande sanitarista à frente do Instituto de Higiene - embrião da atual Faculdade de Saúde Pública da USP - e os primeiros tempos de criação dessa instituição paulista.The article looks at an important chapter in the institutionalization of 'applied science' in Brazil. It is not a study of scientific suppositions or paradigms but of images from the history of the institutionalization of science in São Paulo. It examines an institution that was strengthened over a number of decades, under a leadership that Robert K. Merton was to call 'catalyzing'. Using invaluable iconographic material left by the sanitarian and physician Geraldo Horácio de Paula Souza, it was possible to reconstruct not only an important period in the professional life of this great sanitarian, who was at the helm of the Institute of Hygiene (embryo of the Universidade de São Paulo's present Public Health School, but also the early days of the creation of this São Paulo institute.

  3. Making Deferred Taxes Relevant

    NARCIS (Netherlands)

    Brouwer, Arjan; Naarding, Ewout

    2018-01-01

    We analyse the conceptual problems in current accounting for deferred taxes and provide solutions derived from the literature in order to make International Financial Reporting Standards (IFRS) deferred tax numbers value-relevant. In our view, the empirical results concerning the value relevance of

  4. Parsimonious relevance models

    NARCIS (Netherlands)

    Meij, E.; Weerkamp, W.; Balog, K.; de Rijke, M.; Myang, S.-H.; Oard, D.W.; Sebastiani, F.; Chua, T.-S.; Leong, M.-K.

    2008-01-01

    We describe a method for applying parsimonious language models to re-estimate the term probabilities assigned by relevance models. We apply our method to six topic sets from test collections in five different genres. Our parsimonious relevance models (i) improve retrieval effectiveness in terms of

  5. Text

    International Nuclear Information System (INIS)

    Anon.

    2009-01-01

    The purpose of this act is to safeguard against the dangers and harmful effects of radioactive waste and to contribute to public safety and environmental protection by laying down requirements for the safe and efficient management of radioactive waste. We will find definitions, interrelation with other legislation, responsibilities of the state and local governments, responsibilities of radioactive waste management companies and generators, formulation of the basic plan for the control of radioactive waste, radioactive waste management ( with public information, financing and part of spent fuel management), Korea radioactive waste management corporation ( business activities, budget), establishment of a radioactive waste fund in order to secure the financial resources required for radioactive waste management, and penalties in case of improper operation of radioactive waste management. (N.C.)

  6. The Effects of Goal Relevance and Perceptual Features on Emotional Items and Associative Memory

    Directory of Open Access Journals (Sweden)

    Wei B. Mao

    2017-07-01

    Full Text Available Showing an emotional item in a neutral background scene often leads to enhanced memory for the emotional item and impaired associative memory for background details. Meanwhile, both top–down goal relevance and bottom–up perceptual features played important roles in memory binding. We conducted two experiments and aimed to further examine the effects of goal relevance and perceptual features on emotional items and associative memory. By manipulating goal relevance (asking participants to categorize only each item image as living or non-living or to categorize each whole composite picture consisted of item image and background scene as natural scene or manufactured scene and perceptual features (controlling visual contrast and visual familiarity in two experiments, we found that both high goal relevance and salient perceptual features (high salience of items vs. high familiarity of items could promote emotional item memory, but they had different effects on associative memory for emotional items and neutral backgrounds. Specifically, high goal relevance and high perceptual-salience of items could jointly impair the associative memory for emotional items and neutral backgrounds, while the effect of item familiarity on associative memory for emotional items would be modulated by goal relevance. High familiarity of items could increase associative memory for negative items and neutral backgrounds only in the low goal relevance condition. These findings suggest the effect of emotion on associative memory is not only related to attentional capture elicited by emotion, but also can be affected by goal relevance and perceptual features of stimulus.

  7. Teaching Text Structure: Examining the Affordances of Children's Informational Texts

    Science.gov (United States)

    Jones, Cindy D.; Clark, Sarah K.; Reutzel, D. Ray

    2016-01-01

    This study investigated the affordances of informational texts to serve as model texts for teaching text structure to elementary school children. Content analysis of a random sampling of children's informational texts from top publishers was conducted on text structure organization and on the inclusion of text features as signals of text…

  8. Research on Methods of Infrared and Color Image Fusion Based on Wavelet Transform

    Directory of Open Access Journals (Sweden)

    Zhao Rentao

    2014-06-01

    Full Text Available There is significant difference in the imaging features of infrared image and color image, but their fusion images also have very good complementary information. In this paper, based on the characteristics of infrared image and color image, first of all, wavelet transform is applied to the luminance component of the infrared image and color image. In multi resolution the relevant regional variance is regarded as the activity measure, relevant regional variance ratio as the matching measure, and the fusion image is enhanced in the process of integration, thus getting the fused images by final synthesis module and multi-resolution inverse transform. The experimental results show that the fusion image obtained by the method proposed in this paper is better than the other methods in keeping the useful information of the original infrared image and the color information of the original color image. In addition, the fusion image has stronger adaptability and better visual effect.

  9. A Proposed Arabic Handwritten Text Normalization Method

    Directory of Open Access Journals (Sweden)

    Tarik Abu-Ain

    2014-11-01

    Full Text Available Text normalization is an important technique in document image analysis and recognition. It consists of many preprocessing stages, which include slope correction, text padding, skew correction, and straight the writing line. In this side, text normalization has an important role in many procedures such as text segmentation, feature extraction and characters recognition. In the present article, a new method for text baseline detection, straightening, and slant correction for Arabic handwritten texts is proposed. The method comprises a set of sequential steps: first components segmentation is done followed by components text thinning; then, the direction features of the skeletons are extracted, and the candidate baseline regions are determined. After that, selection of the correct baseline region is done, and finally, the baselines of all components are aligned with the writing line.  The experiments are conducted on IFN/ENIT benchmark Arabic dataset. The results show that the proposed method has a promising and encouraging performance.

  10. Culturally Relevant Cyberbullying Prevention

    OpenAIRE

    Phillips, Gregory John

    2017-01-01

    In this action research study, I, along with a student intervention committee of 14 members, developed a cyberbullying intervention for a large urban high school on the west coast. This high school contained a predominantly African American student population. I aimed to discover culturally relevant cyberbullying prevention strategies for African American students. The intervention committee selected video safety messages featuring African American actors as the most culturally relevant cyber...

  11. Figure text extraction in biomedical literature.

    Directory of Open Access Journals (Sweden)

    Daehyun Kim

    2011-01-01

    Full Text Available Figures are ubiquitous in biomedical full-text articles, and they represent important biomedical knowledge. However, the sheer volume of biomedical publications has made it necessary to develop computational approaches for accessing figures. Therefore, we are developing the Biomedical Figure Search engine (http://figuresearch.askHERMES.org to allow bioscientists to access figures efficiently. Since text frequently appears in figures, automatically extracting such text may assist the task of mining information from figures. Little research, however, has been conducted exploring text extraction from biomedical figures.We first evaluated an off-the-shelf Optical Character Recognition (OCR tool on its ability to extract text from figures appearing in biomedical full-text articles. We then developed a Figure Text Extraction Tool (FigTExT to improve the performance of the OCR tool for figure text extraction through the use of three innovative components: image preprocessing, character recognition, and text correction. We first developed image preprocessing to enhance image quality and to improve text localization. Then we adapted the off-the-shelf OCR tool on the improved text localization for character recognition. Finally, we developed and evaluated a novel text correction framework by taking advantage of figure-specific lexicons.The evaluation on 382 figures (9,643 figure texts in total randomly selected from PubMed Central full-text articles shows that FigTExT performed with 84% precision, 98% recall, and 90% F1-score for text localization and with 62.5% precision, 51.0% recall and 56.2% F1-score for figure text extraction. When limiting figure texts to those judged by domain experts to be important content, FigTExT performed with 87.3% precision, 68.8% recall, and 77% F1-score. FigTExT significantly improved the performance of the off-the-shelf OCR tool we used, which on its own performed with 36.6% precision, 19.3% recall, and 25.3% F1-score for

  12. Imaging

    International Nuclear Information System (INIS)

    Kellum, C.D.; Fisher, L.M.; Tegtmeyer, C.J.

    1987-01-01

    This paper examines the advantages of the use of excretory urography for diagnosis. According to the authors, excretory urography remains the basic radiologic examination of the urinary tract and is the foundation for the evaluation of suspected urologic disease. Despite development of the newer diagnostic modalities such as isotope scanning, ultrasonography, CT, and magnetic resonsance imaging (MRI), excretory urography has maintained a prominent role in ruorradiology. Some indications have been altered and will continue to change with the newer imaging modalities, but the initial evaluation of suspected urinary tract structural abnormalities; hematuria, pyuria, and calculus disease is best performed with excretory urography. The examination is relatively inexpensive and simple to perform, with few contraindictions. Excretory urography, when properly performed, can provide valuable information about the renal parenchyma, pelvicalyceal system, ureters, and urinary bladder

  13. Multiphoton Microscopy for Ophthalmic Imaging

    Directory of Open Access Journals (Sweden)

    Emily A. Gibson

    2011-01-01

    Full Text Available We review multiphoton microscopy (MPM including two-photon autofluorescence (2PAF, second harmonic generation (SHG, third harmonic generation (THG, fluorescence lifetime (FLIM, and coherent anti-Stokes Raman Scattering (CARS with relevance to clinical applications in ophthalmology. The different imaging modalities are discussed highlighting the particular strength that each has for functional tissue imaging. MPM is compared with current clinical ophthalmological imaging techniques such as reflectance confocal microscopy, optical coherence tomography, and fluorescence imaging. In addition, we discuss the future prospects for MPM in disease detection and clinical monitoring of disease progression, understanding fundamental disease mechanisms, and real-time monitoring of drug delivery.

  14. Important Text Characteristics for Early-Grades Text Complexity

    Science.gov (United States)

    Fitzgerald, Jill; Elmore, Jeff; Koons, Heather; Hiebert, Elfrieda H.; Bowen, Kimberly; Sanford-Moore, Eleanor E.; Stenner, A. Jackson

    2015-01-01

    The Common Core set a standard for all children to read increasingly complex texts throughout schooling. The purpose of the present study was to explore text characteristics specifically in relation to early-grades text complexity. Three hundred fifty primary-grades texts were selected and digitized. Twenty-two text characteristics were identified…

  15. Children's (Pediatric) Magnetic Resonance Imaging

    Medline Plus

    Full Text Available ... Magnetic Resonance Imaging Sponsored by Please note RadiologyInfo.org is not a medical facility. Please contact your ... links: For the convenience of our users, RadiologyInfo .org provides links to relevant websites. RadiologyInfo.org , ACR ...

  16. PathText: a text mining integrator for biological pathway visualizations

    Science.gov (United States)

    Kemper, Brian; Matsuzaki, Takuya; Matsuoka, Yukiko; Tsuruoka, Yoshimasa; Kitano, Hiroaki; Ananiadou, Sophia; Tsujii, Jun'ichi

    2010-01-01

    Motivation: Metabolic and signaling pathways are an increasingly important part of organizing knowledge in systems biology. They serve to integrate collective interpretations of facts scattered throughout literature. Biologists construct a pathway by reading a large number of articles and interpreting them as a consistent network, but most of the models constructed currently lack direct links to those articles. Biologists who want to check the original articles have to spend substantial amounts of time to collect relevant articles and identify the sections relevant to the pathway. Furthermore, with the scientific literature expanding by several thousand papers per week, keeping a model relevant requires a continuous curation effort. In this article, we present a system designed to integrate a pathway visualizer, text mining systems and annotation tools into a seamless environment. This will enable biologists to freely move between parts of a pathway and relevant sections of articles, as well as identify relevant papers from large text bases. The system, PathText, is developed by Systems Biology Institute, Okinawa Institute of Science and Technology, National Centre for Text Mining (University of Manchester) and the University of Tokyo, and is being used by groups of biologists from these locations. Contact: brian@monrovian.com. PMID:20529930

  17. Relevance: An Interdisciplinary and Information Science Perspective

    Directory of Open Access Journals (Sweden)

    Howard Greisdorf

    2000-01-01

    Full Text Available Although relevance has represented a key concept in the field of information science for evaluating information retrieval effectiveness, the broader context established by interdisciplinary frameworks could provide greater depth and breadth to on-going research in the field. This work provides an overview of the nature of relevance in the field of information science with a cursory view of how cross-disciplinary approaches to relevance could represent avenues for further investigation into the evaluative characteristics of relevance as a means for enhanced understanding of human information behavior.

  18. The Limits to Relevance

    Science.gov (United States)

    Averill, M.; Briggle, A.

    2006-12-01

    Science policy and knowledge production lately have taken a pragmatic turn. Funding agencies increasingly are requiring scientists to explain the relevance of their work to society. This stems in part from mounting critiques of the "linear model" of knowledge production in which scientists operating according to their own interests or disciplinary standards are presumed to automatically produce knowledge that is of relevance outside of their narrow communities. Many contend that funded scientific research should be linked more directly to societal goals, which implies a shift in the kind of research that will be funded. While both authors support the concept of useful science, we question the exact meaning of "relevance" and the wisdom of allowing it to control research agendas. We hope to contribute to the conversation by thinking more critically about the meaning and limits of the term "relevance" and the trade-offs implicit in a narrow utilitarian approach. The paper will consider which interests tend to be privileged by an emphasis on relevance and address issues such as whose goals ought to be pursued and why, and who gets to decide. We will consider how relevance, narrowly construed, may actually limit the ultimate utility of scientific research. The paper also will reflect on the worthiness of research goals themselves and their relationship to a broader view of what it means to be human and to live in society. Just as there is more to being human than the pragmatic demands of daily life, there is more at issue with knowledge production than finding the most efficient ways to satisfy consumer preferences or fix near-term policy problems. We will conclude by calling for a balanced approach to funding research that addresses society's most pressing needs but also supports innovative research with less immediately apparent application.

  19. Relevant Subspace Clustering

    DEFF Research Database (Denmark)

    Müller, Emmanuel; Assent, Ira; Günnemann, Stephan

    2009-01-01

    Subspace clustering aims at detecting clusters in any subspace projection of a high dimensional space. As the number of possible subspace projections is exponential in the number of dimensions, the result is often tremendously large. Recent approaches fail to reduce results to relevant subspace...... clusters. Their results are typically highly redundant, i.e. many clusters are detected multiple times in several projections. In this work, we propose a novel model for relevant subspace clustering (RESCU). We present a global optimization which detects the most interesting non-redundant subspace clusters...... achieves top clustering quality while competing approaches show greatly varying performance....

  20. Text mining resources for the life sciences.

    Science.gov (United States)

    Przybyła, Piotr; Shardlow, Matthew; Aubin, Sophie; Bossy, Robert; Eckart de Castilho, Richard; Piperidis, Stelios; McNaught, John; Ananiadou, Sophia

    2016-01-01

    Text mining is a powerful technology for quickly distilling key information from vast quantities of biomedical literature. However, to harness this power the researcher must be well versed in the availability, suitability, adaptability, interoperability and comparative accuracy of current text mining resources. In this survey, we give an overview of the text mining resources that exist in the life sciences to help researchers, especially those employed in biocuration, to engage with text mining in their own work. We categorize the various resources under three sections: Content Discovery looks at where and how to find biomedical publications for text mining; Knowledge Encoding describes the formats used to represent the different levels of information associated with content that enable text mining, including those formats used to carry such information between processes; Tools and Services gives an overview of workflow management systems that can be used to rapidly configure and compare domain- and task-specific processes, via access to a wide range of pre-built tools. We also provide links to relevant repositories in each section to enable the reader to find resources relevant to their own area of interest. Throughout this work we give a special focus to resources that are interoperable-those that have the crucial ability to share information, enabling smooth integration and reusability. © The Author(s) 2016. Published by Oxford University Press.

  1. Text mining resources for the life sciences

    Science.gov (United States)

    Shardlow, Matthew; Aubin, Sophie; Bossy, Robert; Eckart de Castilho, Richard; Piperidis, Stelios; McNaught, John; Ananiadou, Sophia

    2016-01-01

    Text mining is a powerful technology for quickly distilling key information from vast quantities of biomedical literature. However, to harness this power the researcher must be well versed in the availability, suitability, adaptability, interoperability and comparative accuracy of current text mining resources. In this survey, we give an overview of the text mining resources that exist in the life sciences to help researchers, especially those employed in biocuration, to engage with text mining in their own work. We categorize the various resources under three sections: Content Discovery looks at where and how to find biomedical publications for text mining; Knowledge Encoding describes the formats used to represent the different levels of information associated with content that enable text mining, including those formats used to carry such information between processes; Tools and Services gives an overview of workflow management systems that can be used to rapidly configure and compare domain- and task-specific processes, via access to a wide range of pre-built tools. We also provide links to relevant repositories in each section to enable the reader to find resources relevant to their own area of interest. Throughout this work we give a special focus to resources that are interoperable—those that have the crucial ability to share information, enabling smooth integration and reusability. PMID:27888231

  2. Text analysis methods, text analysis apparatuses, and articles of manufacture

    Science.gov (United States)

    Whitney, Paul D; Willse, Alan R; Lopresti, Charles A; White, Amanda M

    2014-10-28

    Text analysis methods, text analysis apparatuses, and articles of manufacture are described according to some aspects. In one aspect, a text analysis method includes accessing information indicative of data content of a collection of text comprising a plurality of different topics, using a computing device, analyzing the information indicative of the data content, and using results of the analysis, identifying a presence of a new topic in the collection of text.

  3. Classroom Texting in College Students

    Science.gov (United States)

    Pettijohn, Terry F.; Frazier, Erik; Rieser, Elizabeth; Vaughn, Nicholas; Hupp-Wilds, Bobbi

    2015-01-01

    A 21-item survey on texting in the classroom was given to 235 college students. Overall, 99.6% of students owned a cellphone and 98% texted daily. Of the 138 students who texted in the classroom, most texted friends or significant others, and indicate the reason for classroom texting is boredom or work. Students who texted sent a mean of 12.21…

  4. Is Information Still Relevant?

    Science.gov (United States)

    Ma, Lia

    2013-01-01

    Introduction: The term "information" in information science does not share the characteristics of those of a nomenclature: it does not bear a generally accepted definition and it does not serve as the bases and assumptions for research studies. As the data deluge has arrived, is the concept of information still relevant for information…

  5. Chinese legal texts – Quantitative Description

    Directory of Open Access Journals (Sweden)

    Ľuboš GAJDOŠ

    2017-06-01

    Full Text Available The aim of the paper is to provide a quantitative description of legal Chinese. This study adopts the approach of corpus-based analyses and it shows basic statistical parameters of legal texts in Chinese, namely the length of a sentence, the proportion of part of speech etc. The research is conducted on the Chinese monolingual corpus Hanku. The paper also discusses the issues of statistical data processing from various corpora, e.g. the tokenisation and part of speech tagging and their relevance to study of registers variation.

  6. Microdosing: Concept, application and relevance

    Directory of Open Access Journals (Sweden)

    Tushar Tewari

    2010-01-01

    Full Text Available The use of microdose pharmacokinetic studies as an essential tool in drug development is still to catch on. While this approach promises potential cost savings and a quantum leap in efficiencies of the drug development process, major hurdles still need to be overcome before the technique becomes commonplace and part of routine practice. Clear regulations in Europe and the USA have had an enabling effect. The lack of enabling provisions for microdosing studies in Indian regulation, despite low risk and manifest relevance for the local drug development industry, is inconsistent with the country′s aspirations to be among the leaders in pharmaceutical research.

  7. Observation of [Formula: see text] and [Formula: see text] decays.

    Science.gov (United States)

    Aaij, R; Adeva, B; Adinolfi, M; Ajaltouni, Z; Akar, S; Albrecht, J; Alessio, F; Alexander, M; Ali, S; Alkhazov, G; Alvarez Cartelle, P; Alves, A A; Amato, S; Amerio, S; Amhis, Y; An, L; Anderlini, L; Andreassi, G; Andreotti, M; Andrews, J E; Appleby, R B; Archilli, F; d'Argent, P; Arnau Romeu, J; Artamonov, A; Artuso, M; Aslanides, E; Auriemma, G; Baalouch, M; Babuschkin, I; Bachmann, S; Back, J J; Badalov, A; Baesso, C; Baker, S; Baldini, W; Barlow, R J; Barschel, C; Barsuk, S; Barter, W; Baszczyk, M; Batozskaya, V; Batsukh, B; Battista, V; Bay, A; Beaucourt, L; Beddow, J; Bedeschi, F; Bediaga, I; Bel, L J; Bellee, V; Belloli, N; Belous, K; Belyaev, I; Ben-Haim, E; Bencivenni, G; Benson, S; Benton, J; Berezhnoy, A; Bernet, R; Bertolin, A; Betancourt, C; Betti, F; Bettler, M-O; van Beuzekom, M; Bezshyiko, Ia; Bifani, S; Billoir, P; Bird, T; Birnkraut, A; Bitadze, A; Bizzeti, A; Blake, T; Blanc, F; Blouw, J; Blusk, S; Bocci, V; Boettcher, T; Bondar, A; Bondar, N; Bonivento, W; Bordyuzhin, I; Borgheresi, A; Borghi, S; Borisyak, M; Borsato, M; Bossu, F; Boubdir, M; Bowcock, T J V; Bowen, E; Bozzi, C; Braun, S; Britsch, M; Britton, T; Brodzicka, J; Buchanan, E; Burr, C; Bursche, A; Buytaert, J; Cadeddu, S; Calabrese, R; Calvi, M; Calvo Gomez, M; Camboni, A; Campana, P; Campora Perez, D H; Capriotti, L; Carbone, A; Carboni, G; Cardinale, R; Cardini, A; Carniti, P; Carson, L; Carvalho Akiba, K; Casse, G; Cassina, L; Castillo Garcia, L; Cattaneo, M; Cauet, Ch; Cavallero, G; Cenci, R; Charles, M; Charpentier, Ph; Chatzikonstantinidis, G; Chefdeville, M; Chen, S; Cheung, S-F; Chobanova, V; Chrzaszcz, M; Cid Vidal, X; Ciezarek, G; Clarke, P E L; Clemencic, M; Cliff, H V; Closier, J; Coco, V; Cogan, J; Cogneras, E; Cogoni, V; Cojocariu, L; Collazuol, G; Collins, P; Comerma-Montells, A; Contu, A; Cook, A; Coombs, G; Coquereau, S; Corti, G; Corvo, M; Costa Sobral, C M; Couturier, B; Cowan, G A; Craik, D C; Crocombe, A; Cruz Torres, M; Cunliffe, S; Currie, R; D'Ambrosio, C; Da Cunha Marinho, F; Dall'Occo, E; Dalseno, J; David, P N Y; Davis, A; De Aguiar Francisco, O; De Bruyn, K; De Capua, S; De Cian, M; De Miranda, J M; De Paula, L; De Serio, M; De Simone, P; Dean, C-T; Decamp, D; Deckenhoff, M; Del Buono, L; Demmer, M; Dendek, A; Derkach, D; Deschamps, O; Dettori, F; Dey, B; Di Canto, A; Dijkstra, H; Dordei, F; Dorigo, M; Dosil Suárez, A; Dovbnya, A; Dreimanis, K; Dufour, L; Dujany, G; Dungs, K; Durante, P; Dzhelyadin, R; Dziurda, A; Dzyuba, A; Déléage, N; Easo, S; Ebert, M; Egede, U; Egorychev, V; Eidelman, S; Eisenhardt, S; Eitschberger, U; Ekelhof, R; Eklund, L; Ely, S; Esen, S; Evans, H M; Evans, T; Falabella, A; Farley, N; Farry, S; Fay, R; Fazzini, D; Ferguson, D; Fernandez Prieto, A; Ferrari, F; Ferreira Rodrigues, F; Ferro-Luzzi, M; Filippov, S; Fini, R A; Fiore, M; Fiorini, M; Firlej, M; Fitzpatrick, C; Fiutowski, T; Fleuret, F; Fohl, K; Fontana, M; Fontanelli, F; Forshaw, D C; Forty, R; Franco Lima, V; Frank, M; Frei, C; Fu, J; Furfaro, E; Färber, C; Gallas Torreira, A; Galli, D; Gallorini, S; Gambetta, S; Gandelman, M; Gandini, P; Gao, Y; Garcia Martin, L M; García Pardiñas, J; Garra Tico, J; Garrido, L; Garsed, P J; Gascon, D; Gaspar, C; Gavardi, L; Gazzoni, G; Gerick, D; Gersabeck, E; Gersabeck, M; Gershon, T; Ghez, Ph; Gianì, S; Gibson, V; Girard, O G; Giubega, L; Gizdov, K; Gligorov, V V; Golubkov, D; Golutvin, A; Gomes, A; Gorelov, I V; Gotti, C; Govorkova, E; Grabalosa Gándara, M; Graciani Diaz, R; Granado Cardoso, L A; Graugés, E; Graverini, E; Graziani, G; Grecu, A; Griffith, P; Grillo, L; Gruberg Cazon, B R; Grünberg, O; Gushchin, E; Guz, Yu; Gys, T; Göbel, C; Hadavizadeh, T; Hadjivasiliou, C; Haefeli, G; Haen, C; Haines, S C; Hall, S; Hamilton, B; Han, X; Hansmann-Menzemer, S; Harnew, N; Harnew, S T; Harrison, J; Hatch, M; He, J; Head, T; Heister, A; Hennessy, K; Henrard, P; Henry, L; Hernando Morata, J A; van Herwijnen, E; Heß, M; Hicheur, A; Hill, D; Hombach, C; Hopchev, H; Hulsbergen, W; Humair, T; Hushchyn, M; Hussain, N; Hutchcroft, D; Idzik, M; Ilten, P; Jacobsson, R; Jaeger, A; Jalocha, J; Jans, E; Jawahery, A; Jiang, F; John, M; Johnson, D; Jones, C R; Joram, C; Jost, B; Jurik, N; Kandybei, S; Kanso, W; Karacson, M; Kariuki, J M; Karodia, S; Kecke, M; Kelsey, M; Kenyon, I R; Kenzie, M; Ketel, T; Khairullin, E; Khanji, B; Khurewathanakul, C; Kirn, T; Klaver, S; Klimaszewski, K; Koliiev, S; Kolpin, M; Komarov, I; Koopman, R F; Koppenburg, P; Kosmyntseva, A; Kozachuk, A; Kozeiha, M; Kravchuk, L; Kreplin, K; Kreps, M; Krokovny, P; Kruse, F; Krzemien, W; Kucewicz, W; Kucharczyk, M; Kudryavtsev, V; Kuonen, A K; Kurek, K; Kvaratskheliya, T; Lacarrere, D; Lafferty, G; Lai, A; Lanfranchi, G; Langenbruch, C; Latham, T; Lazzeroni, C; Le Gac, R; van Leerdam, J; Lees, J-P; Leflat, A; Lefrançois, J; Lefèvre, R; Lemaitre, F; Lemos Cid, E; Leroy, O; Lesiak, T; Leverington, B; Li, Y; Likhomanenko, T; Lindner, R; Linn, C; Lionetto, F; Liu, B; Liu, X; Loh, D; Longstaff, I; Lopes, J H; Lucchesi, D; Lucio Martinez, M; Luo, H; Lupato, A; Luppi, E; Lupton, O; Lusiani, A; Lyu, X; Machefert, F; Maciuc, F; Maev, O; Maguire, K; Malde, S; Malinin, A; Maltsev, T; Manca, G; Mancinelli, G; Manning, P; Maratas, J; Marchand, J F; Marconi, U; Marin Benito, C; Marino, P; Marks, J; Martellotti, G; Martin, M; Martinelli, M; Martinez Santos, D; Martinez Vidal, F; Martins Tostes, D; Massacrier, L M; Massafferri, A; Matev, R; Mathad, A; Mathe, Z; Matteuzzi, C; Mauri, A; Maurin, B; Mazurov, A; McCann, M; McCarthy, J; McNab, A; McNulty, R; Meadows, B; Meier, F; Meissner, M; Melnychuk, D; Merk, M; Merli, A; Michielin, E; Milanes, D A; Minard, M-N; Mitzel, D S; Mogini, A; Molina Rodriguez, J; Monroy, I A; Monteil, S; Morandin, M; Morawski, P; Mordà, A; Morello, M J; Moron, J; Morris, A B; Mountain, R; Muheim, F; Mulder, M; Mussini, M; Müller, D; Müller, J; Müller, K; Müller, V; Naik, P; Nakada, T; Nandakumar, R; Nandi, A; Nasteva, I; Needham, M; Neri, N; Neubert, S; Neufeld, N; Neuner, M; Nguyen, A D; Nguyen, T D; Nguyen-Mau, C; Nieswand, S; Niet, R; Nikitin, N; Nikodem, T; Novoselov, A; O'Hanlon, D P; Oblakowska-Mucha, A; Obraztsov, V; Ogilvy, S; Oldeman, R; Onderwater, C J G; Otalora Goicochea, J M; Otto, A; Owen, P; Oyanguren, A; Pais, P R; Palano, A; Palombo, F; Palutan, M; Panman, J; Papanestis, A; Pappagallo, M; Pappalardo, L L; Parker, W; Parkes, C; Passaleva, G; Pastore, A; Patel, G D; Patel, M; Patrignani, C; Pearce, A; Pellegrino, A; Penso, G; Pepe Altarelli, M; Perazzini, S; Perret, P; Pescatore, L; Petridis, K; Petrolini, A; Petrov, A; Petruzzo, M; Picatoste Olloqui, E; Pietrzyk, B; Pikies, M; Pinci, D; Pistone, A; Piucci, A; Playfer, S; Plo Casasus, M; Poikela, T; Polci, F; Poluektov, A; Polyakov, I; Polycarpo, E; Pomery, G J; Popov, A; Popov, D; Popovici, B; Poslavskii, S; Potterat, C; Price, E; Price, J D; Prisciandaro, J; Pritchard, A; Prouve, C; Pugatch, V; Puig Navarro, A; Punzi, G; Qian, W; Quagliani, R; Rachwal, B; Rademacker, J H; Rama, M; Ramos Pernas, M; Rangel, M S; Raniuk, I; Ratnikov, F; Raven, G; Redi, F; Reichert, S; Dos Reis, A C; Remon Alepuz, C; Renaudin, V; Ricciardi, S; Richards, S; Rihl, M; Rinnert, K; Rives Molina, V; Robbe, P; Rodrigues, A B; Rodrigues, E; Rodriguez Lopez, J A; Rodriguez Perez, P; Rogozhnikov, A; Roiser, S; Rollings, A; Romanovskiy, V; Romero Vidal, A; Ronayne, J W; Rotondo, M; Rudolph, M S; Ruf, T; Ruiz Valls, P; Saborido Silva, J J; Sadykhov, E; Sagidova, N; Saitta, B; Salustino Guimaraes, V; Sanchez Mayordomo, C; Sanmartin Sedes, B; Santacesaria, R; Santamarina Rios, C; Santimaria, M; Santovetti, E; Sarti, A; Satriano, C; Satta, A; Saunders, D M; Savrina, D; Schael, S; Schellenberg, M; Schiller, M; Schindler, H; Schlupp, M; Schmelling, M; Schmelzer, T; Schmidt, B; Schneider, O; Schopper, A; Schubert, K; Schubiger, M; Schune, M-H; Schwemmer, R; Sciascia, B; Sciubba, A; Semennikov, A; Sergi, A; Serra, N; Serrano, J; Sestini, L; Seyfert, P; Shapkin, M; Shapoval, I; Shcheglov, Y; Shears, T; Shekhtman, L; Shevchenko, V; Siddi, B G; Silva Coutinho, R; Silva de Oliveira, L; Simi, G; Simone, S; Sirendi, M; Skidmore, N; Skwarnicki, T; Smith, E; Smith, I T; Smith, J; Smith, M; Snoek, H; Sokoloff, M D; Soler, F J P; Souza De Paula, B; Spaan, B; Spradlin, P; Sridharan, S; Stagni, F; Stahl, M; Stahl, S; Stefko, P; Stefkova, S; Steinkamp, O; Stemmle, S; Stenyakin, O; Stevenson, S; Stoica, S; Stone, S; Storaci, B; Stracka, S; Straticiuc, M; Straumann, U; Sun, L; Sutcliffe, W; Swientek, K; Syropoulos, V; Szczekowski, M; Szumlak, T; T'Jampens, S; Tayduganov, A; Tekampe, T; Tellarini, G; Teubert, F; Thomas, E; van Tilburg, J; Tilley, M J; Tisserand, V; Tobin, M; Tolk, S; Tomassetti, L; Tonelli, D; Topp-Joergensen, S; Toriello, F; Tournefier, E; Tourneur, S; Trabelsi, K; Traill, M; Tran, M T; Tresch, M; Trisovic, A; Tsaregorodtsev, A; Tsopelas, P; Tully, A; Tuning, N; Ukleja, A; Ustyuzhanin, A; Uwer, U; Vacca, C; Vagnoni, V; Valassi, A; Valat, S; Valenti, G; Vallier, A; Vazquez Gomez, R; Vazquez Regueiro, P; Vecchi, S; van Veghel, M; Velthuis, J J; Veltri, M; Veneziano, G; Venkateswaran, A; Vernet, M; Vesterinen, M; Viaud, B; Vieira, D; Vieites Diaz, M; Viemann, H; Vilasis-Cardona, X; Vitti, M; Volkov, V; Vollhardt, A; Voneki, B; Vorobyev, A; Vorobyev, V; Voß, C; de Vries, J A; Vázquez Sierra, C; Waldi, R; Wallace, C; Wallace, R; Walsh, J; Wang, J; Ward, D R; Wark, H M; Watson, N K; Websdale, D; Weiden, A; Whitehead, M; Wicht, J; Wilkinson, G; Wilkinson, M; Williams, M; Williams, M P; Williams, M; Williams, T; Wilson, F F; Wimberley, J; Wishahi, J; Wislicki, W; Witek, M; Wormser, G; Wotton, S A; Wraight, K; Wyllie, K; Xie, Y; Xing, Z; Xu, Z; Yang, Z; Yin, H; Yu, J; Yuan, X; Yushchenko, O; Zarebski, K A; Zavertyaev, M; Zhang, L; Zhang, Y; Zhang, Y; Zhelezov, A; Zheng, Y; Zhokhov, A; Zhu, X; Zhukov, V; Zucchelli, S

    2017-01-01

    The decays [Formula: see text] and [Formula: see text] are observed for the first time using a data sample corresponding to an integrated luminosity of 3.0 fb[Formula: see text], collected by the LHCb experiment in proton-proton collisions at the centre-of-mass energies of 7 and 8[Formula: see text]. The branching fractions relative to that of [Formula: see text] are measured to be [Formula: see text]where the first uncertainties are statistical and the second are systematic.

  8. Mining the Text: 34 Text Features that Can Ease or Obstruct Text Comprehension and Use

    Science.gov (United States)

    White, Sheida

    2012-01-01

    This article presents 34 characteristics of texts and tasks ("text features") that can make continuous (prose), noncontinuous (document), and quantitative texts easier or more difficult for adolescents and adults to comprehend and use. The text features were identified by examining the assessment tasks and associated texts in the national…

  9. Learning Convolutional Text Representations for Visual Question Answering

    OpenAIRE

    Wang, Zhengyang; Ji, Shuiwang

    2017-01-01

    Visual question answering is a recently proposed artificial intelligence task that requires a deep understanding of both images and texts. In deep learning, images are typically modeled through convolutional neural networks, and texts are typically modeled through recurrent neural networks. While the requirement for modeling images is similar to traditional computer vision tasks, such as object recognition and image classification, visual question answering raises a different need for textual...

  10. From Text to Political Positions: Text analysis across disciplines

    NARCIS (Netherlands)

    Kaal, A.R.; Maks, I.; van Elfrinkhof, A.M.E.

    2014-01-01

    ABSTRACT From Text to Political Positions addresses cross-disciplinary innovation in political text analysis for party positioning. Drawing on political science, computational methods and discourse analysis, it presents a diverse collection of analytical models including pure quantitative and

  11. Finding Text Information in the Ocean of Electronic Documents

    Energy Technology Data Exchange (ETDEWEB)

    Medvick, Patricia A.; Calapristi, Augustin J.

    2003-02-05

    Information management in natural resources has become an overwhelming task. A massive amount of electronic documents and data is now available for creating informed decisions. The problem is finding the relevant information to support the decision-making process. Determining gaps in knowledge in order to propose new studies or to determine which proposals to fund for maximum potential is a time-consuming and difficult task. Additionally, available data stores are increasing in complexity; they now may include not only text and numerical data, but also images, sounds, and video recordings. Information visualization specialists at Pacific Northwest National Laboratory (PNNL) have software tools for exploring electronic data stores and for discovering and exploiting relationships within data sets. These provide capabilities for unstructured text explorations, the use of data signatures (a compact format for the essence of a set of scientific data) for visualization (Wong et al 2000), visualizations for multiple query results (Havre et al. 2001), and others (http://www.pnl.gov/infoviz ). We will focus on IN-SPIRE, a MS Windows vision of PNNL’s SPIRE (Spatial Paradigm for Information Retrieval and Exploration). IN-SPIRE was developed to assist information analysts find and discover information in huge masses of text documents.

  12. Bootstrapping Visual Categorization with Relevant Negatives

    NARCIS (Netherlands)

    Li, X.; Snoek, C.G.M.; Worring, M.; Koelma, D.; Smeulders, A.W.M.

    Learning classifiers for many visual concepts are important for image categorization and retrieval. As a classifier tends to misclassify negative examples which are visually similar to positive ones, inclusion of such misclassified and thus relevant negatives should be stressed during learning.

  13. Information Needs/Relevance

    OpenAIRE

    Wildemuth, Barbara M.

    2009-01-01

    A user's interaction with a DL is often initiated as the result of the user experiencing an information need of some kind. Aspects of that experience and how it might affect the user's interactions with the DL are discussed in this module. In addition, users continuously make decisions about and evaluations of the materials retrieved from a DL, relative to their information needs. Relevance judgments, and their relationship to the user's information needs, are discussed in this module. Draft

  14. Text mining from ontology learning to automated text processing applications

    CERN Document Server

    Biemann, Chris

    2014-01-01

    This book comprises a set of articles that specify the methodology of text mining, describe the creation of lexical resources in the framework of text mining and use text mining for various tasks in natural language processing (NLP). The analysis of large amounts of textual data is a prerequisite to build lexical resources such as dictionaries and ontologies and also has direct applications in automated text processing in fields such as history, healthcare and mobile applications, just to name a few. This volume gives an update in terms of the recent gains in text mining methods and reflects

  15. A Text-Mining Framework for Supporting Systematic Reviews.

    Science.gov (United States)

    Li, Dingcheng; Wang, Zhen; Wang, Liwei; Sohn, Sunghwan; Shen, Feichen; Murad, Mohammad Hassan; Liu, Hongfang

    2016-11-01

    Systematic reviews (SRs) involve the identification, appraisal, and synthesis of all relevant studies for focused questions in a structured reproducible manner. High-quality SRs follow strict procedures and require significant resources and time. We investigated advanced text-mining approaches to reduce the burden associated with abstract screening in SRs and provide high-level information summary. A text-mining SR supporting framework consisting of three self-defined semantics-based ranking metrics was proposed, including keyword relevance, indexed-term relevance and topic relevance. Keyword relevance is based on the user-defined keyword list used in the search strategy. Indexed-term relevance is derived from indexed vocabulary developed by domain experts used for indexing journal articles and books. Topic relevance is defined as the semantic similarity among retrieved abstracts in terms of topics generated by latent Dirichlet allocation, a Bayesian-based model for discovering topics. We tested the proposed framework using three published SRs addressing a variety of topics (Mass Media Interventions, Rectal Cancer and Influenza Vaccine). The results showed that when 91.8%, 85.7%, and 49.3% of the abstract screening labor was saved, the recalls were as high as 100% for the three cases; respectively. Relevant studies identified manually showed strong topic similarity through topic analysis, which supported the inclusion of topic analysis as relevance metric. It was demonstrated that advanced text mining approaches can significantly reduce the abstract screening labor of SRs and provide an informative summary of relevant studies.

  16. Working with text tools, techniques and approaches for text mining

    CERN Document Server

    Tourte, Gregory J L

    2016-01-01

    Text mining tools and technologies have long been a part of the repository world, where they have been applied to a variety of purposes, from pragmatic aims to support tools. Research areas as diverse as biology, chemistry, sociology and criminology have seen effective use made of text mining technologies. Working With Text collects a subset of the best contributions from the 'Working with text: Tools, techniques and approaches for text mining' workshop, alongside contributions from experts in the area. Text mining tools and technologies in support of academic research include supporting research on the basis of a large body of documents, facilitating access to and reuse of extant work, and bridging between the formal academic world and areas such as traditional and social media. Jisc have funded a number of projects, including NaCTem (the National Centre for Text Mining) and the ResDis programme. Contents are developed from workshop submissions and invited contributions, including: Legal considerations in te...

  17. Text mining for the biocuration workflow.

    Science.gov (United States)

    Hirschman, Lynette; Burns, Gully A P C; Krallinger, Martin; Arighi, Cecilia; Cohen, K Bretonnel; Valencia, Alfonso; Wu, Cathy H; Chatr-Aryamontri, Andrew; Dowell, Karen G; Huala, Eva; Lourenço, Anália; Nash, Robert; Veuthey, Anne-Lise; Wiegers, Thomas; Winter, Andrew G

    2012-01-01

    Molecular biology has become heavily dependent on biological knowledge encoded in expert curated biological databases. As the volume of biological literature increases, biocurators need help in keeping up with the literature; (semi-) automated aids for biocuration would seem to be an ideal application for natural language processing and text mining. However, to date, there have been few documented successes for improving biocuration throughput using text mining. Our initial investigations took place for the workshop on 'Text Mining for the BioCuration Workflow' at the third International Biocuration Conference (Berlin, 2009). We interviewed biocurators to obtain workflows from eight biological databases. This initial study revealed high-level commonalities, including (i) selection of documents for curation; (ii) indexing of documents with biologically relevant entities (e.g. genes); and (iii) detailed curation of specific relations (e.g. interactions); however, the detailed workflows also showed many variabilities. Following the workshop, we conducted a survey of biocurators. The survey identified biocurator priorities, including the handling of full text indexed with biological entities and support for the identification and prioritization of documents for curation. It also indicated that two-thirds of the biocuration teams had experimented with text mining and almost half were using text mining at that time. Analysis of our interviews and survey provide a set of requirements for the integration of text mining into the biocuration workflow. These can guide the identification of common needs across curated databases and encourage joint experimentation involving biocurators, text mining developers and the larger biomedical research community.

  18. Linguistics and the Literary Text.

    Science.gov (United States)

    Ferrar, Madeleine

    1984-01-01

    Discusses the opposing viewpoints of the two most influential linguists of this century--Saussure and Chomsky--suggesting that while both are interested in form as opposed to substance, Saussure sees linguistics as a branch of semiotics and Chomsky sees it as part of cognitive psychology. Evaluates the relevance of these two viewpoints to the…

  19. Informational Text and the CCSS

    Science.gov (United States)

    Aspen Institute, 2012

    2012-01-01

    What constitutes an informational text covers a broad swath of different types of texts. Biographies & memoirs, speeches, opinion pieces & argumentative essays, and historical, scientific or technical accounts of a non-narrative nature are all included in what the Common Core State Standards (CCSS) envisions as informational text. Also included…

  20. The Only Safe SMS Texting Is No SMS Texting.

    Science.gov (United States)

    Toth, Cheryl; Sacopulos, Michael J

    2015-01-01

    Many physicians and practice staff use short messaging service (SMS) text messaging to communicate with patients. But SMS text messaging is unencrypted, insecure, and does not meet HIPAA requirements. In addition, the short and abbreviated nature of text messages creates opportunities for misinterpretation, and can negatively impact patient safety and care. Until recently, asking patients to sign a statement that they understand and accept these risks--as well as having policies, device encryption, and cyber insurance in place--would have been enough to mitigate the risk of using SMS text in a medical practice. But new trends and policies have made SMS text messaging unsafe under any circumstance. This article explains these trends and policies, as well as why only secure texting or secure messaging should be used for physician-patient communication.

  1. Microwave imaging

    CERN Document Server

    Pastorino, Matteo

    2010-01-01

    An introduction to the most relevant theoretical and algorithmic aspects of modern microwave imaging approaches Microwave imaging-a technique used in sensing a given scene by means of interrogating microwaves-has recently proven its usefulness in providing excellent diagnostic capabilities in several areas, including civil and industrial engineering, nondestructive testing and evaluation, geophysical prospecting, and biomedical engineering. Microwave Imaging offers comprehensive descriptions of the most important techniques so far proposed for short-range microwave imaging-in

  2. Predicting Prosody from Text for Text-to-Speech Synthesis

    CERN Document Server

    Rao, K Sreenivasa

    2012-01-01

    Predicting Prosody from Text for Text-to-Speech Synthesis covers the specific aspects of prosody, mainly focusing on how to predict the prosodic information from linguistic text, and then how to exploit the predicted prosodic knowledge for various speech applications. Author K. Sreenivasa Rao discusses proposed methods along with state-of-the-art techniques for the acquisition and incorporation of prosodic knowledge for developing speech systems. Positional, contextual and phonological features are proposed for representing the linguistic and production constraints of the sound units present in the text. This book is intended for graduate students and researchers working in the area of speech processing.

  3. Monitoring interaction and collective text production through text mining

    Directory of Open Access Journals (Sweden)

    Macedo, Alexandra Lorandi

    2014-04-01

    Full Text Available This article presents the Concepts Network tool, developed using text mining technology. The main objective of this tool is to extract and relate terms of greatest incidence from a text and exhibit the results in the form of a graph. The Network was implemented in the Collective Text Editor (CTE which is an online tool that allows the production of texts in synchronized or non-synchronized forms. This article describes the application of the Network both in texts produced collectively and texts produced in a forum. The purpose of the tool is to offer support to the teacher in managing the high volume of data generated in the process of interaction amongst students and in the construction of the text. Specifically, the aim is to facilitate the teacher’s job by allowing him/her to process data in a shorter time than is currently demanded. The results suggest that the Concepts Network can aid the teacher, as it provides indicators of the quality of the text produced. Moreover, messages posted in forums can be analyzed without their content necessarily having to be pre-read.

  4. Text recycling: acceptable or misconduct?

    Science.gov (United States)

    Harriman, Stephanie; Patel, Jigisha

    2014-08-16

    Text recycling, also referred to as self-plagiarism, is the reproduction of an author's own text from a previous publication in a new publication. Opinions on the acceptability of this practice vary, with some viewing it as acceptable and efficient, and others as misleading and unacceptable. In light of the lack of consensus, journal editors often have difficulty deciding how to act upon the discovery of text recycling. In response to these difficulties, we have created a set of guidelines for journal editors on how to deal with text recycling. In this editorial, we discuss some of the challenges of developing these guidelines, and how authors can avoid undisclosed text recycling.

  5. TEXT DEIXIS IN NARRATIVE SEQUENCES

    Directory of Open Access Journals (Sweden)

    Josep Rivera

    2007-06-01

    Full Text Available This study looks at demonstrative descriptions, regarding them as text-deictic procedures which contribute to weave discourse reference. Text deixis is thought of as a metaphorical referential device which maps the ground of utterance onto the text itself. Demonstrative expressions with textual antecedent-triggers, considered as the most important text-deictic units, are identified in a narrative corpus consisting of J. M. Barrie’s Peter Pan and its translation into Catalan. Some linguistic and discourse variables related to DemNPs are analysed to characterise adequately text deixis. It is shown that this referential device is usually combined with abstract nouns, thus categorising and encapsulating (non-nominal complex discourse entities as nouns, while performing a referential cohesive function by means of the text deixis + general noun type of lexical cohesion.

  6. Evolutionary Relevance Facilitates Visual Information Processing

    Directory of Open Access Journals (Sweden)

    Russell E. Jackson

    2013-07-01

    Full Text Available Visual search of the environment is a fundamental human behavior that perceptual load affects powerfully. Previously investigated means for overcoming the inhibitions of high perceptual load, however, generalize poorly to real-world human behavior. We hypothesized that humans would process evolutionarily relevant stimuli more efficiently than evolutionarily novel stimuli, and evolutionary relevance would mitigate the repercussions of high perceptual load during visual search. Animacy is a significant component to evolutionary relevance of visual stimuli because perceiving animate entities is time-sensitive in ways that pose significant evolutionary consequences. Participants completing a visual search task located evolutionarily relevant and animate objects fastest and with the least impact of high perceptual load. Evolutionarily novel and inanimate objects were located slowest and with the highest impact of perceptual load. Evolutionary relevance may importantly affect everyday visual information processing.

  7. Text against Text: Counterbalancing the Hegemony of Assessment.

    Science.gov (United States)

    Cosgrove, Cornelius

    A study examined whether composition specialists can counterbalance the potential privileging of the assessment perspective, or of self-appointed interpreters of that perspective, through the study of assessment discourse as text. Fourteen assessment texts were examined, most of them journal articles and most of them featuring the common…

  8. SparkText: Biomedical Text Mining on Big Data Framework.

    Directory of Open Access Journals (Sweden)

    Zhan Ye

    Full Text Available Many new biomedical research articles are published every day, accumulating rich information, such as genetic variants, genes, diseases, and treatments. Rapid yet accurate text mining on large-scale scientific literature can discover novel knowledge to better understand human diseases and to improve the quality of disease diagnosis, prevention, and treatment.In this study, we designed and developed an efficient text mining framework called SparkText on a Big Data infrastructure, which is composed of Apache Spark data streaming and machine learning methods, combined with a Cassandra NoSQL database. To demonstrate its performance for classifying cancer types, we extracted information (e.g., breast, prostate, and lung cancers from tens of thousands of articles downloaded from PubMed, and then employed Naïve Bayes, Support Vector Machine (SVM, and Logistic Regression to build prediction models to mine the articles. The accuracy of predicting a cancer type by SVM using the 29,437 full-text articles was 93.81%. While competing text-mining tools took more than 11 hours, SparkText mined the dataset in approximately 6 minutes.This study demonstrates the potential for mining large-scale scientific articles on a Big Data infrastructure, with real-time update from new articles published daily. SparkText can be extended to other areas of biomedical research.

  9. The home concept in poetic texts: new ways of understanding

    Directory of Open Access Journals (Sweden)

    С А Радзиевская

    2010-03-01

    Full Text Available The article focuses on the analysis of the HOME concept in American poetic texts and on the description of the model of its content. Linguocognitive mechanisms of the formation of the images of home are revealed.

  10. [Relevant public health enteropathogens].

    Science.gov (United States)

    Riveros, Maribel; Ochoa, Theresa J

    2015-01-01

    Diarrhea remains the third leading cause of death in children under five years, despite recent advances in the management and prevention of this disease. It is caused by multiple pathogens, however, the prevalence of each varies by age group, geographical area and the scenario where cases (community vs hospital) are recorded. The most relevant pathogens in public health are those associated with the highest burden of disease, severity, complications and mortality. In our country, norovirus, Campylobacter and diarrheagenic E. coli are the most prevalent pathogens at the community level in children. In this paper we review the local epidemiology and potential areas of development in five selected pathogens: rotavirus, norovirus, Shiga toxin-producing E. coli (STEC), Shigella and Salmonella. Of these, rotavirus is the most important in the pediatric population and the main agent responsible for child mortality from diarrhea. The introduction of rotavirus vaccination in Peru will have a significant impact on disease burden and mortality from diarrhea. However, surveillance studies are needed to determine the impact of vaccination and changes in the epidemiology of diarrhea in Peru following the introduction of new vaccines, as well as antibiotic resistance surveillance of clinical relevant bacteria.

  11. [Formula: see text]The statistical crisis in science: how is it relevant to clinical neuropsychology?

    Science.gov (United States)

    Gelman, Andrew; Geurts, Hilde M

    There is currently increased attention to the statistical (and replication) crisis in science. Biomedicine and social psychology have been at the heart of this crisis, but similar problems are evident in a wide range of fields. We discuss three examples of replication challenges from the field of social psychology and some proposed solutions, and then consider the applicability of these ideas to clinical neuropsychology. In addition to procedural developments such as preregistration and open data and criticism, we recommend that data be collected and analyzed with more recognition that each new study is a part of a learning process. The goal of improving neuropsychological assessment, care, and cure is too important to not take good scientific practice seriously.

  12. Knowledge Representation in Travelling Texts

    DEFF Research Database (Denmark)

    Mousten, Birthe; Locmele, Gunta

    2014-01-01

    Today, information travels fast. Texts travel, too. In a corporate context, the question is how to manage which knowledge elements should travel to a new language area or market and in which form? The decision to let knowledge elements travel or not travel highly depends on the limitation...... and the purpose of the text in a new context as well as on predefined parameters for text travel. For texts used in marketing and in technology, the question is whether culture-bound knowledge representation should be domesticated or kept as foreign elements, or should be mirrored or moulded—or should not travel...... at all! When should semantic and pragmatic elements in a text be replaced and by which other elements? The empirical basis of our work is marketing and technical texts in English, which travel into the Latvian and Danish markets, respectively....

  13. Texting while driving: is speech-based text entry less risky than handheld text entry?

    Science.gov (United States)

    He, J; Chaparro, A; Nguyen, B; Burge, R J; Crandall, J; Chaparro, B; Ni, R; Cao, S

    2014-11-01

    Research indicates that using a cell phone to talk or text while maneuvering a vehicle impairs driving performance. However, few published studies directly compare the distracting effects of texting using a hands-free (i.e., speech-based interface) versus handheld cell phone, which is an important issue for legislation, automotive interface design and driving safety training. This study compared the effect of speech-based versus handheld text entries on simulated driving performance by asking participants to perform a car following task while controlling the duration of a secondary text-entry task. Results showed that both speech-based and handheld text entries impaired driving performance relative to the drive-only condition by causing more variation in speed and lane position. Handheld text entry also increased the brake response time and increased variation in headway distance. Text entry using a speech-based cell phone was less detrimental to driving performance than handheld text entry. Nevertheless, the speech-based text entry task still significantly impaired driving compared to the drive-only condition. These results suggest that speech-based text entry disrupts driving, but reduces the level of performance interference compared to text entry with a handheld device. In addition, the difference in the distraction effect caused by speech-based and handheld text entry is not simply due to the difference in task duration. Copyright © 2014 Elsevier Ltd. All rights reserved.

  14. SparkText: Biomedical Text Mining on Big Data Framework

    Science.gov (United States)

    He, Karen Y.; Wang, Kai

    2016-01-01

    Background Many new biomedical research articles are published every day, accumulating rich information, such as genetic variants, genes, diseases, and treatments. Rapid yet accurate text mining on large-scale scientific literature can discover novel knowledge to better understand human diseases and to improve the quality of disease diagnosis, prevention, and treatment. Results In this study, we designed and developed an efficient text mining framework called SparkText on a Big Data infrastructure, which is composed of Apache Spark data streaming and machine learning methods, combined with a Cassandra NoSQL database. To demonstrate its performance for classifying cancer types, we extracted information (e.g., breast, prostate, and lung cancers) from tens of thousands of articles downloaded from PubMed, and then employed Naïve Bayes, Support Vector Machine (SVM), and Logistic Regression to build prediction models to mine the articles. The accuracy of predicting a cancer type by SVM using the 29,437 full-text articles was 93.81%. While competing text-mining tools took more than 11 hours, SparkText mined the dataset in approximately 6 minutes. Conclusions This study demonstrates the potential for mining large-scale scientific articles on a Big Data infrastructure, with real-time update from new articles published daily. SparkText can be extended to other areas of biomedical research. PMID:27685652

  15. SparkText: Biomedical Text Mining on Big Data Framework.

    Science.gov (United States)

    Ye, Zhan; Tafti, Ahmad P; He, Karen Y; Wang, Kai; He, Max M

    Many new biomedical research articles are published every day, accumulating rich information, such as genetic variants, genes, diseases, and treatments. Rapid yet accurate text mining on large-scale scientific literature can discover novel knowledge to better understand human diseases and to improve the quality of disease diagnosis, prevention, and treatment. In this study, we designed and developed an efficient text mining framework called SparkText on a Big Data infrastructure, which is composed of Apache Spark data streaming and machine learning methods, combined with a Cassandra NoSQL database. To demonstrate its performance for classifying cancer types, we extracted information (e.g., breast, prostate, and lung cancers) from tens of thousands of articles downloaded from PubMed, and then employed Naïve Bayes, Support Vector Machine (SVM), and Logistic Regression to build prediction models to mine the articles. The accuracy of predicting a cancer type by SVM using the 29,437 full-text articles was 93.81%. While competing text-mining tools took more than 11 hours, SparkText mined the dataset in approximately 6 minutes. This study demonstrates the potential for mining large-scale scientific articles on a Big Data infrastructure, with real-time update from new articles published daily. SparkText can be extended to other areas of biomedical research.

  16. Active Learning for Text Classification

    OpenAIRE

    Hu, Rong

    2011-01-01

    Text classification approaches are used extensively to solve real-world challenges. The success or failure of text classification systems hangs on the datasets used to train them, without a good dataset it is impossible to build a quality system. This thesis examines the applicability of active learning in text classification for the rapid and economical creation of labelled training data. Four main contributions are made in this thesis. First, we present two novel selection strategies to cho...

  17. Text Mining Applications and Theory

    CERN Document Server

    Berry, Michael W

    2010-01-01

    Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives.  The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of techniques from machine learning, knowledge discovery, natural language processing and information retrieval to design computational models for automated text analysis and mining. This volume demonstrates how advancements in the fields of applied mathematics, computer science, machine learning

  18. Graphics in Text: A Bibliography. Monograph No. 6.

    Science.gov (United States)

    Macdonald-Ross, Michael; Smith, Eleanor

    This bibliography lists books and articles discussing graphic aspects of human communication. References have been selected for their relevance to the design of self-instructional texts for the adult learner; for the most part, research on younger children, on non-text media, and on non-educational texts is not included. Items are organized into…

  19. Monolingual accounting dictionaries for EFL text production

    Directory of Open Access Journals (Sweden)

    Sandro Nielsen

    2006-10-01

    Full Text Available Monolingual accounting dictionaries are important for producing financial reporting texts in English in an international setting, because of the lack of specialised bilingual dictionaries. As the intended user groups have different factual and linguistic competences, they require specific types of information. By identifying and analysing the users' factual and linguistic competences, user needs, use-situations and the stages involved in producing accounting texts in English as a foreign language, lexicographers will have a sound basis for designing the optimal English accounting dictionary for EFL text production. The monolingual accounting dictionary needs to include information about UK, US and international accounting terms, their grammatical properties, their potential for being combined with other words in collocations, phrases and sentences in order to meet user requirements. Data items that deal with these aspects are necessary for the international user group as they produce subject-field specific and register-specific texts in a foreign language, and the data items are relevant for the various stages in text production: draft writing, copyediting, stylistic editing and proofreading.

  20. Chapter 16: text mining for translational bioinformatics.

    Science.gov (United States)

    Cohen, K Bretonnel; Hunter, Lawrence E

    2013-04-01

    Text mining for translational bioinformatics is a new field with tremendous research potential. It is a subfield of biomedical natural language processing that concerns itself directly with the problem of relating basic biomedical research to clinical practice, and vice versa. Applications of text mining fall both into the category of T1 translational research-translating basic science results into new interventions-and T2 translational research, or translational research for public health. Potential use cases include better phenotyping of research subjects, and pharmacogenomic research. A variety of methods for evaluating text mining applications exist, including corpora, structured test suites, and post hoc judging. Two basic principles of linguistic structure are relevant for building text mining applications. One is that linguistic structure consists of multiple levels. The other is that every level of linguistic structure is characterized by ambiguity. There are two basic approaches to text mining: rule-based, also known as knowledge-based; and machine-learning-based, also known as statistical. Many systems are hybrids of the two approaches. Shared tasks have had a strong effect on the direction of the field. Like all translational bioinformatics software, text mining software for translational bioinformatics can be considered health-critical and should be subject to the strictest standards of quality assurance and software testing.

  1. Text and ideology: text-oriented discourse analysis

    Directory of Open Access Journals (Sweden)

    Maria Eduarda Gonçalves Peixoto

    2018-04-01

    Full Text Available The article aims to contribute to the understanding of the connection between text and ideology articulated by the text-oriented analysis of discourse (ADTO. Based on the reflections of Fairclough (1989, 2001, 2003 and Fairclough and Chouliaraki (1999, the debate presents the social ontology that ADTO uses to base its conception of social life as an open system and textually mediated; the article then explains the chronological-narrative development of the main critical theories of ideology, by virtue of which ADTO organizes the assumptions that underpin the particular use it makes of the term. Finally, the discussion presents the main aspects of the connection between text and ideology, offering a conceptual framework that can contribute to the domain of the theme according to a critical discourse analysis approach.

  2. English Metafunction Analysis in Chemistry Text: Characterization of Scientific Text

    Directory of Open Access Journals (Sweden)

    Ahmad Amin Dalimunte, M.Hum

    2013-09-01

    Full Text Available The objectives of this research are to identify what Metafunctions are applied in chemistry text and how they characterize a scientific text. It was conducted by applying content analysis. The data for this research was a twelve-paragraph chemistry text. The data were collected by applying a documentary technique. The document was read and analyzed to find out the Metafunction. The data were analyzed by some procedures: identifying the types of process, counting up the number of the processes, categorizing and counting up the cohesion devices, classifying the types of modulation and determining modality value, finally counting up the number of sentences and clauses, then scoring the grammatical intricacy index. The findings of the research show that Material process (71of 100 is mostly used, circumstance of spatial location (26 of 56 is more dominant than the others. Modality (5 is less used in order to avoid from subjectivity. Impersonality is implied through less use of reference either pronouns (7 or demonstrative (7, conjunctions (60 are applied to develop ideas, and the total number of the clauses are found much more dominant (109 than the total number of the sentences (40 which results high grammatical intricacy index. The Metafunction found indicate that the chemistry text has fulfilled the characteristics of scientific or academic text which truly reflects it as a natural science.

  3. Text Genres in Information Organization

    Science.gov (United States)

    Nahotko, Marek

    2016-01-01

    Introduction: Text genres used by so-called information organizers in the processes of information organization in information systems were explored in this research. Method: The research employed text genre socio-functional analysis. Five genre groups in information organization were distinguished. Every genre group used in information…

  4. Strategies for Translating Vocative Texts

    Directory of Open Access Journals (Sweden)

    Olga COJOCARU

    2014-12-01

    Full Text Available The paper deals with the linguistic and cultural elements of vocative texts and the techniques used in translating them by giving some examples of texts that are typically vocative (i.e. advertisements and instructions for use. Semantic and communicative strategies are popular in translation studies and each of them has its own advantages and disadvantages in translating vocative texts. The advantage of semantic translation is that it takes more account of the aesthetic value of the SL text, while communicative translation attempts to render the exact contextual meaning of the original text in such a way that both content and language are readily acceptable and comprehensible to the readership. Focus is laid on the strategies used in translating vocative texts, strategies that highlight and introduce a cultural context to the target audience, in order to achieve their overall purpose, that is to sell or persuade the reader to behave in a certain way. Thus, in order to do that, a number of advertisements from the field of cosmetics industry and electronic gadgets were selected for analysis. The aim is to gather insights into vocative text translation and to create new perspectives on this field of research, now considered a process of innovation and diversion, especially in areas as important as economy and marketing.

  5. Text mining in livestock animal science: introducing the potential of text mining to animal sciences.

    Science.gov (United States)

    Sahadevan, S; Hofmann-Apitius, M; Schellander, K; Tesfaye, D; Fluck, J; Friedrich, C M

    2012-10-01

    In biological research, establishing the prior art by searching and collecting information already present in the domain has equal importance as the experiments done. To obtain a complete overview about the relevant knowledge, researchers mainly rely on 2 major information sources: i) various biological databases and ii) scientific publications in the field. The major difference between the 2 information sources is that information from databases is available, typically well structured and condensed. The information content in scientific literature is vastly unstructured; that is, dispersed among the many different sections of scientific text. The traditional method of information extraction from scientific literature occurs by generating a list of relevant publications in the field of interest and manually scanning these texts for relevant information, which is very time consuming. It is more than likely that in using this "classical" approach the researcher misses some relevant information mentioned in the literature or has to go through biological databases to extract further information. Text mining and named entity recognition methods have already been used in human genomics and related fields as a solution to this problem. These methods can process and extract information from large volumes of scientific text. Text mining is defined as the automatic extraction of previously unknown and potentially useful information from text. Named entity recognition (NER) is defined as the method of identifying named entities (names of real world objects; for example, gene/protein names, drugs, enzymes) in text. In animal sciences, text mining and related methods have been briefly used in murine genomics and associated fields, leaving behind other fields of animal sciences, such as livestock genomics. The aim of this work was to develop an information retrieval platform in the livestock domain focusing on livestock publications and the recognition of relevant data from

  6. Systematic characterizations of text similarity in full text biomedical publications.

    Science.gov (United States)

    Sun, Zhaohui; Errami, Mounir; Long, Tara; Renard, Chris; Choradia, Nishant; Garner, Harold

    2010-09-15

    Computational methods have been used to find duplicate biomedical publications in MEDLINE. Full text articles are becoming increasingly available, yet the similarities among them have not been systematically studied. Here, we quantitatively investigated the full text similarity of biomedical publications in PubMed Central. 72,011 full text articles from PubMed Central (PMC) were parsed to generate three different datasets: full texts, sections, and paragraphs. Text similarity comparisons were performed on these datasets using the text similarity algorithm eTBLAST. We measured the frequency of similar text pairs and compared it among different datasets. We found that high abstract similarity can be used to predict high full text similarity with a specificity of 20.1% (95% CI [17.3%, 23.1%]) and sensitivity of 99.999%. Abstract similarity and full text similarity have a moderate correlation (Pearson correlation coefficient: -0.423) when the similarity ratio is above 0.4. Among pairs of articles in PMC, method sections are found to be the most repetitive (frequency of similar pairs, methods: 0.029, introduction: 0.0076, results: 0.0043). In contrast, among a set of manually verified duplicate articles, results are the most repetitive sections (frequency of similar pairs, results: 0.94, methods: 0.89, introduction: 0.82). Repetition of introduction and methods sections is more likely to be committed by the same authors (odds of a highly similar pair having at least one shared author, introduction: 2.31, methods: 1.83, results: 1.03). There is also significantly more similarity in pairs of review articles than in pairs containing one review and one nonreview paper (frequency of similar pairs: 0.0167 and 0.0023, respectively). While quantifying abstract similarity is an effective approach for finding duplicate citations, a comprehensive full text analysis is necessary to uncover all potential duplicate citations in the scientific literature and is helpful when

  7. A comparative study on medical image segmentation methods

    Directory of Open Access Journals (Sweden)

    Praylin Selva Blessy SELVARAJ ASSLEY

    2014-03-01

    Full Text Available Image segmentation plays an important role in medical images. It has been a relevant research area in computer vision and image analysis. Many segmentation algorithms have been proposed for medical images. This paper makes a review on segmentation methods for medical images. In this survey, segmentation methods are divided into five categories: region based, boundary based, model based, hybrid based and atlas based. The five different categories with their principle ideas, advantages and disadvantages in segmenting different medical images are discussed.

  8. The Relevance of Hegel's Logic

    Directory of Open Access Journals (Sweden)

    John W Burbidge

    2007-12-01

    Full Text Available Hegel defines his Logic as the science that thinks about thinking.nbsp; But when we interpret that work as outlining what happens when we reason we are vulnerable to Fregersquo;s charge of psychologism.nbsp; I use Hegelrsquo;s tripartite distinction among understanding, dialectical and speculative reason as operations of pure thought to suggest how thinking can work with objective concepts.nbsp; In the last analysis, however, our ability to move from the subjective contingency of representations and ideas to the pure concepts we think develops from mechanical memory, which separates sign from sense so hat we can focus simply on the latter.nbsp; By becoming aware of the connections that underlie our thinking processes we may be able to both move beyond the abstractions of symbolic logic and clarify what informal logicians call relevance.

  9. Linguistic Dating of Biblical Texts

    DEFF Research Database (Denmark)

    Ehrensvärd, Martin Gustaf

    2003-01-01

    For two centuries, scholars have pointed to consistent differences in the Hebrew of certain biblical texts and interpreted these differences as reflecting the date of composition of the texts. Until the 1980s, this was quite uncontroversial as the linguistic findings largely confirmed the chronol......For two centuries, scholars have pointed to consistent differences in the Hebrew of certain biblical texts and interpreted these differences as reflecting the date of composition of the texts. Until the 1980s, this was quite uncontroversial as the linguistic findings largely confirmed...... the chronology of the texts established by other means: the Hebrew of Genesis-2 Kings was judged to be early and that of Esther, Daniel, Ezra, Nehemiah, and Chronicles to be late. In the current debate where revisionists have questioned the traditional dating, linguistic arguments in the dating of texts have...... come more into focus. The study critically examines some linguistic arguments adduced to support the traditional position, and reviewing the arguments it points to weaknesses in the linguistic dating of EBH texts to pre-exilic times. When viewing the linguistic evidence in isolation it will be clear...

  10. Biomarker Identification Using Text Mining

    Directory of Open Access Journals (Sweden)

    Hui Li

    2012-01-01

    Full Text Available Identifying molecular biomarkers has become one of the important tasks for scientists to assess the different phenotypic states of cells or organisms correlated to the genotypes of diseases from large-scale biological data. In this paper, we proposed a text-mining-based method to discover biomarkers from PubMed. First, we construct a database based on a dictionary, and then we used a finite state machine to identify the biomarkers. Our method of text mining provides a highly reliable approach to discover the biomarkers in the PubMed database.

  11. Stemming Malay Text and Its Application in Automatic Text Categorization

    Science.gov (United States)

    Yasukawa, Michiko; Lim, Hui Tian; Yokoo, Hidetoshi

    In Malay language, there are no conjugations and declensions and affixes have important grammatical functions. In Malay, the same word may function as a noun, an adjective, an adverb, or, a verb, depending on its position in the sentence. Although extensively simple root words are used in informal conversations, it is essential to use the precise words in formal speech or written texts. In Malay, to make sentences clear, derivative words are used. Derivation is achieved mainly by the use of affixes. There are approximately a hundred possible derivative forms of a root word in written language of the educated Malay. Therefore, the composition of Malay words may be complicated. Although there are several types of stemming algorithms available for text processing in English and some other languages, they cannot be used to overcome the difficulties in Malay word stemming. Stemming is the process of reducing various words to their root forms in order to improve the effectiveness of text processing in information systems. It is essential to avoid both over-stemming and under-stemming errors. We have developed a new Malay stemmer (stemming algorithm) for removing inflectional and derivational affixes. Our stemmer uses a set of affix rules and two types of dictionaries: a root-word dictionary and a derivative-word dictionary. The use of set of rules is aimed at reducing the occurrence of under-stemming errors, while that of the dictionaries is believed to reduce the occurrence of over-stemming errors. We performed an experiment to evaluate the application of our stemmer in text mining software. For the experiment, text data used were actual web pages collected from the World Wide Web to demonstrate the effectiveness of our Malay stemming algorithm. The experimental results showed that our stemmer can effectively increase the precision of the extracted Boolean expressions for text categorization.

  12. Text mining for the biocuration workflow

    Science.gov (United States)

    Hirschman, Lynette; Burns, Gully A. P. C; Krallinger, Martin; Arighi, Cecilia; Cohen, K. Bretonnel; Valencia, Alfonso; Wu, Cathy H.; Chatr-Aryamontri, Andrew; Dowell, Karen G.; Huala, Eva; Lourenço, Anália; Nash, Robert; Veuthey, Anne-Lise; Wiegers, Thomas; Winter, Andrew G.

    2012-01-01

    Molecular biology has become heavily dependent on biological knowledge encoded in expert curated biological databases. As the volume of biological literature increases, biocurators need help in keeping up with the literature; (semi-) automated aids for biocuration would seem to be an ideal application for natural language processing and text mining. However, to date, there have been few documented successes for improving biocuration throughput using text mining. Our initial investigations took place for the workshop on ‘Text Mining for the BioCuration Workflow’ at the third International Biocuration Conference (Berlin, 2009). We interviewed biocurators to obtain workflows from eight biological databases. This initial study revealed high-level commonalities, including (i) selection of documents for curation; (ii) indexing of documents with biologically relevant entities (e.g. genes); and (iii) detailed curation of specific relations (e.g. interactions); however, the detailed workflows also showed many variabilities. Following the workshop, we conducted a survey of biocurators. The survey identified biocurator priorities, including the handling of full text indexed with biological entities and support for the identification and prioritization of documents for curation. It also indicated that two-thirds of the biocuration teams had experimented with text mining and almost half were using text mining at that time. Analysis of our interviews and survey provide a set of requirements for the integration of text mining into the biocuration workflow. These can guide the identification of common needs across curated databases and encourage joint experimentation involving biocurators, text mining developers and the larger biomedical research community. PMID:22513129

  13. Anomaly Detection with Text Mining

    Data.gov (United States)

    National Aeronautics and Space Administration — Many existing complex space systems have a significant amount of historical maintenance and problem data bases that are stored in unstructured text forms. The...

  14. Social Studies: Texts and Supplements.

    Science.gov (United States)

    Curriculum Review, 1979

    1979-01-01

    This review of selected social studies texts, series, and supplements, mainly for the secondary level, includes a special section examining eight titles on warfare and terrorism for grades 4-12. (SJL)

  15. Poetic prayer as a "text in text" in Ukrainian Cyrillic editions of the Baroque age

    Directory of Open Access Journals (Sweden)

    Kurhanova O.

    2016-01-01

    Full Text Available The article observes a prayer as a meta-genre of Baroque Ukrainian poetry, found at the pages of Ukrainian Cyrillic religious editions of the late 16th - early 18th centuries. Double nature of baroque poetic prayer is underlined. Poetic prayer originates from the tradition of liturgical prayer and contains it as a "text in text", at the same time poetical prayer is inserted as a "text in text" into the editions, in which it is printed. Two types of semantic connections between baroque poetic prayers and the text of their editions are described. The first type is presented by the poetry, which contains an image of a person, who took part in the text creation and in the process of its edition: the author/editor (in the role of the prayer addresser or the patron of art (in the role of a person, about whom the prayer request was made. The topics of prayer appellations in the poetry of this group are requests for earthly and heavenly boons for the author/editor/patron of the edition, for positive reception of the book; thanksgivings for the help in the book writing/publishing etc. The poetry of the second type contains images, which are central for the text of an edition. These are, as a rule, addressees of the prayer text - God, Saint Virgin, Angels and Saints. The content of a prayer appeal in the poetry of this type is a request for salvation and help in spiritual self-perfection of a lyric hero or a church community. It is defined that the content of poetic prayers, printed at pages of Cyrillic editions of the late 16th - early 18th centuries, was influenced both by text elements of the edition (topic, central images, and by non-textual factors (illustration plot, accompanied by a poem, prayer intention of an author/editor, existence of a patron of edition, different circumstances of editorial process etc.

  16. Text Mining in Organizational Research.

    Science.gov (United States)

    Kobayashi, Vladimer B; Mol, Stefan T; Berkers, Hannah A; Kismihók, Gábor; Den Hartog, Deanne N

    2018-07-01

    Despite the ubiquity of textual data, so far few researchers have applied text mining to answer organizational research questions. Text mining, which essentially entails a quantitative approach to the analysis of (usually) voluminous textual data, helps accelerate knowledge discovery by radically increasing the amount data that can be analyzed. This article aims to acquaint organizational researchers with the fundamental logic underpinning text mining, the analytical stages involved, and contemporary techniques that may be used to achieve different types of objectives. The specific analytical techniques reviewed are (a) dimensionality reduction, (b) distance and similarity computing, (c) clustering, (d) topic modeling, and (e) classification. We describe how text mining may extend contemporary organizational research by allowing the testing of existing or new research questions with data that are likely to be rich, contextualized, and ecologically valid. After an exploration of how evidence for the validity of text mining output may be generated, we conclude the article by illustrating the text mining process in a job analysis setting using a dataset composed of job vacancies.

  17. [Text mining, a method for computer-assisted analysis of scientific texts, demonstrated by an analysis of author networks].

    Science.gov (United States)

    Hahn, P; Dullweber, F; Unglaub, F; Spies, C K

    2014-06-01

    Searching for relevant publications is becoming more difficult with the increasing number of scientific articles. Text mining as a specific form of computer-based data analysis may be helpful in this context. Highlighting relations between authors and finding relevant publications concerning a specific subject using text analysis programs are illustrated graphically by 2 performed examples. © Georg Thieme Verlag KG Stuttgart · New York.

  18. GPU-Accelerated Text Mining

    International Nuclear Information System (INIS)

    Cui, X.; Mueller, F.; Zhang, Y.; Potok, Thomas E.

    2009-01-01

    Accelerating hardware devices represent a novel promise for improving the performance for many problem domains but it is not clear for which domains what accelerators are suitable. While there is no room in general-purpose processor design to significantly increase the processor frequency, developers are instead resorting to multi-core chips duplicating conventional computing capabilities on a single die. Yet, accelerators offer more radical designs with a much higher level of parallelism and novel programming environments. This present work assesses the viability of text mining on CUDA. Text mining is one of the key concepts that has become prominent as an effective means to index the Internet, but its applications range beyond this scope and extend to providing document similarity metrics, the subject of this work. We have developed and optimized text search algorithms for GPUs to exploit their potential for massive data processing. We discuss the algorithmic challenges of parallelization for text search problems on GPUs and demonstrate the potential of these devices in experiments by reporting significant speedups. Our study may be one of the first to assess more complex text search problems for suitability for GPU devices, and it may also be one of the first to exploit and report on atomic instruction usage that have recently become available in NVIDIA devices

  19. Comprehending text in literature class

    Directory of Open Access Journals (Sweden)

    Purić Daliborka S.

    2016-01-01

    Full Text Available The paper discusses the problem of understanding a text and the contribution of methodological apparatus in the reader book to comprehension of a text being read in junior classes of elementary school. By using the technique of content analysis from methodological apparatuses in eight reader books for the fourth grade of elementary school, approved for usage in 2014/2015 academic year, and surveying 350 teachers in 33 elementary schools and 11 administrative districts in the Republic of Serbia we examined: (a to what extent the Serbian language text book contents enable junior students to understand a literary text; (b to what extent teachers accept the suggestions offered in the textbook for preparing literature teaching. The results show that a large number of suggestions relate to reading comprehension, but some of categories of understanding are unevenly distributed in the methodological apparatus. On the other hand, the majority of teachers use the methodological apparatus given in a textbook for preparing classes, not only the textbook he or she selected for teaching but also other textbooks for the same grade.

  20. A Guide Text or Many Texts? "That is the Question”

    Directory of Open Access Journals (Sweden)

    Delgado de Valencia Sonia

    2001-08-01

    Full Text Available The use of supplementary materials in the classroom has always been an essential part of the teaching and learning process. To restrict our teaching to the scope of one single textbook means to stand behind the advances of knowledge, in any area and context. Young learners appreciate any new and varied support that expands their knowledge of the world: diaries, letters, panels, free texts, magazines, short stories, poems or literary excerpts, and articles taken from Internet are materials that will allow learnersto share more and work more collaboratively. In this article we are going to deal with some of these materials, with the criteria to select, adapt, and create them that may be of interest to the learner and that may promote reading and writing processes. Since no text can entirely satisfy the needs of students and teachers, the creativity of both parties will be necessary to improve the quality of teaching through the adequate use and adaptation of supplementary materials.

  1. Individual Profiling Using Text Analysis

    Science.gov (United States)

    2016-04-15

    AFRL-AFOSR-UK-TR-2016-0011 Individual Profiling using Text Analysis 140333 Mark Stevenson UNIVERSITY OF SHEFFIELD, DEPARTMENT OF PSYCHOLOGY Final...REPORT TYPE      Final 3.  DATES COVERED (From - To)      15 Sep 2014 to 14 Sep 2015 4.  TITLE AND SUBTITLE Individual Profiling using Text Analysis ...consisted of collections of tweets for a number of Twitter users whose gender, age and personality scores are known. The task was to construct some system

  2. Identifying issue frames in text.

    Directory of Open Access Journals (Sweden)

    Eyal Sagi

    Full Text Available Framing, the effect of context on cognitive processes, is a prominent topic of research in psychology and public opinion research. Research on framing has traditionally relied on controlled experiments and manually annotated document collections. In this paper we present a method that allows for quantifying the relative strengths of competing linguistic frames based on corpus analysis. This method requires little human intervention and can therefore be efficiently applied to large bodies of text. We demonstrate its effectiveness by tracking changes in the framing of terror over time and comparing the framing of abortion by Democrats and Republicans in the U.S.

  3. Cerenkov Imaging

    OpenAIRE

    Das, Sudeep; Thorek, Daniel L.J.; Grimm, Jan

    2014-01-01

    Cerenkov luminescence (CL) has been used recently in a plethora of medical applications like imaging and therapy with clinically relevant medical isotopes. The range of medical isotopes used is fairly large and expanding. The generation of in vivo light is useful since it circumvents depth limitations for excitation light. Cerenkov luminescence imaging (CLI) is much cheaper in terms of infrastructure than positron emission tomography (PET) and is particularly useful for imaging of superficial...

  4. Multilingual text induced spelling correction

    NARCIS (Netherlands)

    Reynaert, M.W.C.

    2004-01-01

    We present TISC, a multilingual, language-independent and context-sensitive spelling checking and correction system designed to facilitate the automatic removal of non-word spelling errors in large corpora. Its lexicon is derived from raw text corpora, without supervision, and contains word unigrams

  5. Automated analysis of instructional text

    Energy Technology Data Exchange (ETDEWEB)

    Norton, L.M.

    1983-05-01

    The development of a capability for automated processing of natural language text is a long-range goal of artificial intelligence. This paper discusses an investigation into the issues involved in the comprehension of descriptive, as opposed to illustrative, textual material. The comprehension process is viewed as the conversion of knowledge from one representation into another. The proposed target representation consists of statements of the prolog language, which can be interpreted both declaratively and procedurally, much like production rules. A computer program has been written to model in detail some ideas about this process. The program successfully analyzes several heavily edited paragraphs adapted from an elementary textbook on programming, automatically synthesizing as a result of the analysis a working Prolog program which, when executed, can parse and interpret let commands in the basic language. The paper discusses the motivations and philosophy of the project, the many kinds of prerequisite knowledge which are necessary, and the structure of the text analysis program. A sentence-by-sentence account of the analysis of the sample text is presented, describing the syntactic and semantic processing which is involved. The paper closes with a discussion of lessons learned from the project, possible alternative approaches, and possible extensions for future work. The entire project is presented as illustrative of the nature and complexity of the text analysis process, rather than as providing definitive or optimal solutions to any aspects of the task. 12 references.

  6. Solar Concepts: A Background Text.

    Science.gov (United States)

    Gorham, Jonathan W.

    This text is designed to provide teachers, students, and the general public with an overview of key solar energy concepts. Various energy terms are defined and explained. Basic thermodynamic laws are discussed. Alternative energy production is described in the context of the present energy situation. Described are the principal contemporary solar…

  7. FTP: Full-Text Publishing?

    Science.gov (United States)

    Jul, Erik

    1992-01-01

    Describes the use of file transfer protocol (FTP) on the INTERNET computer network and considers its use as an electronic publishing system. The differing electronic formats of text files are discussed; the preparation and access of documents are described; and problems are addressed, including a lack of consistency. (LRW)

  8. Quality Inspection of Printed Texts

    DEFF Research Database (Denmark)

    Pedersen, Jesper Ballisager; Nasrollahi, Kamal; Moeslund, Thomas B.

    2016-01-01

    -folded: for costumers of the printing and verification system, the overall grade used to verify if the text is of sufficient quality, while for printer's manufacturer, the detailed character/symbols grades and quality measurements are used for the improvement and optimization of the printing task. The proposed system...

  9. Multimodal imaging of bone metastases: From preclinical to clinical applications

    Directory of Open Access Journals (Sweden)

    Stephan Ellmann

    2015-10-01

    Full Text Available Metastases to the skeletal system are commonly observed in cancer patients, highly affecting the patients' quality of life. Imaging plays a major role in detection, follow-up, and molecular characterisation of metastatic disease. Thus, imaging techniques have been optimised and combined in a multimodal and multiparametric manner for assessment of complementary aspects in osseous metastases. This review summarises both application of the most relevant imaging techniques for bone metastasis in preclinical models and the clinical setting.

  10. Bible Translation And Relevance Theory | Deist | Stellenbosch ...

    African Journals Online (AJOL)

    Stellenbosch Papers in Linguistics Plus. Journal Home · ABOUT THIS JOURNAL · Advanced Search · Current Issue · Archives · Journal Home > Vol 22 (1992) >. Log in or Register to get access to full text downloads. Username, Password, Remember me, or Register. Bible Translation And Relevance Theory. F Deist ...

  11. Image fusion of MRI and fMRI with intraoperative MRI data: methods and clinical relevance for neurosurgical interventions; Fusion von MRT-, fMRT- und intraoperativen MRT-Daten. Methode und klinische Bedeutung am Beispiel neurochirurgischer Interventionen

    Energy Technology Data Exchange (ETDEWEB)

    Moche, M.; Busse, H.; Dannenberg, C.; Schulz, T.; Schmidt, F.; Kahn, T. [Universitaetsklinikum Leipzig (Germany). Klinik und Poliklinik fuer Diagnostische Radiologie; Schmitgen, A. [GMD Forschungszentrum Informationstechnik GmbH-FIT, Sankt Augustin (Germany); Trantakis, C.; Winkler, D. [Klinik und Poliklinik fuer Neurochirurgie, Universitaetsklinikum Leipzig (Germany)

    2001-11-01

    The aim of this work was to realize and clinically evaluate an image fusion platform for the integration of preoperative MRI and fMRI data into the intraoperative images of an interventional MRI system with a focus on neurosurgical procedures. A vertically open 0.5 T MRI scanner was equipped with a dedicated navigation system enabling the registration of additional imaging modalities (MRI, fMRI, CT) with the intraoperatively acquired data sets. These merged image data served as the basis for interventional planning and multimodal navigation. So far, the system has been used in 70 neurosurgical interventions (13 of which involved image data fusion - requiring 15 minutes extra time). The augmented navigation system is characterized by a higher frame rate and a higher image quality as compared to the system-integrated navigation based on continuously acquired (near) real time images. Patient movement and tissue shifts can be immediately detected by monitoring the morphological differences between both navigation scenes. The multimodal image fusion allowed a refined navigation planning especially for the resection of deeply seated brain lesions or pathologies close to eloquent areas. Augmented intraoperative orientation and instrument guidance improve the safety and accuracy of neurosurgical interventions. (orig.) [German] Ziel dieser Arbeit waren die Realisierung und klinische Bewertung einer Bildfusion praeoperativer MRT- und fMRT-Bilder mit intraoperativen Datensaetzen eines interventionellen MRT-Systems am Beispiel neurochirurgischer Eingriffe. Ein vertikal offenes 0,5-T-MRT-System wurde mit einem erweiterten Navigationssystem ausgestattet, welches eine Integration zusaetzlicher Bildinformationen (Hochfeld-MRT, fMRT, CT) in die intraoperativ akquirierten Datensaetze erlaubt. Diese fusionierten Bilddaten wurden zur Interventionsplanung und multimodalen Navigation verwendet. Bisher wurde das System bei insgesamt 70 neurochirurgischen Eingriffen eingesetzt, davon 13

  12. Cluster Based Text Classification Model

    DEFF Research Database (Denmark)

    Nizamani, Sarwat; Memon, Nasrullah; Wiil, Uffe Kock

    2011-01-01

    We propose a cluster based classification model for suspicious email detection and other text classification tasks. The text classification tasks comprise many training examples that require a complex classification model. Using clusters for classification makes the model simpler and increases...... the accuracy at the same time. The test example is classified using simpler and smaller model. The training examples in a particular cluster share the common vocabulary. At the time of clustering, we do not take into account the labels of the training examples. After the clusters have been created......, the classifier is trained on each cluster having reduced dimensionality and less number of examples. The experimental results show that the proposed model outperforms the existing classification models for the task of suspicious email detection and topic categorization on the Reuters-21578 and 20 Newsgroups...

  13. Linguistic dating of biblical texts

    DEFF Research Database (Denmark)

    Young, Ian; Rezetko, Robert; Ehrensvärd, Martin Gustaf

    Since the beginning of critical scholarship biblical texts have been dated using linguistic evidence. In recent years this has become a controversial topic, especially with the publication of Ian Young (ed.), Biblical Hebrew: Studies in Chronology and Typology (2003). However, until now there has...... been no introduction and comprehensive study of the field. Volume 1 introduces the field of linguistic dating of biblical texts, particularly to intermediate and advanced students of biblical Hebrew who have a reasonable background in the language, having completed at least an introductory course...... in this volume are: What is it that makes Archaic Biblical Hebrew archaic , Early Biblical Hebrew early , and Late Biblical Hebrew late ? Does linguistic typology, i.e. different linguistic characteristics, convert easily and neatly into linguistic chronology, i.e. different historical origins? A large amount...

  14. Text as an Autopoietic System

    DEFF Research Database (Denmark)

    Nicolaisen, Maria Skou

    2016-01-01

    The aim of the present research article is to discuss the possibilities and limitations in addressing text as an autopoietic system. The theory of autopoiesis originated in the field of biology in order to explain the dynamic processes entailed in sustaining living organisms at cellular level. Th....... By comparing the biological with the textual account of autopoietic agency, the end conclusion is that a newly derived concept of sociopoiesis might be better suited for discussing the architecture of textual systems....

  15. The TEXT upgrade vertical interferometer

    International Nuclear Information System (INIS)

    Hallock, G.A.; Gartman, M.L.; Li, W.; Chiang, K.; Shin, S.; Castles, R.L.; Chatterjee, R.; Rahman, A.S.

    1992-01-01

    A far-infrared interferometer has been installed on TEXT upgrade to obtain electron density profiles. The primary system views the plasma vertically through a set of large (60-cm radialx7.62-cm toroidal) diagnostic ports. A 1-cm channel spacing (59 channels total) and fast electronic time response is used, to provide high resolution for radial profiles and perturbation experiments. Initial operation of the vertical system was obtained late in 1991, with six operating channels

  16. Reasoning with Annotations of Texts

    OpenAIRE

    Ma , Yue; Lévy , François; Ghimire , Sudeep

    2011-01-01

    International audience; Linguistic and semantic annotations are important features for text-based applications. However, achieving and maintaining a good quality of a set of annotations is known to be a complex task. Many ad hoc approaches have been developed to produce various types of annotations, while comparing those annotations to improve their quality is still rare. In this paper, we propose a framework in which both linguistic and domain information can cooperate to reason with annotat...

  17. A STUDY OF TEXT MINING METHODS, APPLICATIONS,AND TECHNIQUES

    OpenAIRE

    R. Rajamani*1 & S. Saranya2

    2017-01-01

    Data mining is used to extract useful information from the large amount of data. It is used to implement and solve different types of research problems. The research related areas in data mining are text mining, web mining, image mining, sequential pattern mining, spatial mining, medical mining, multimedia mining, structure mining and graph mining. Text mining also referred to text of data mining, it is also called knowledge discovery in text (KDT) or knowledge of intelligent text analysis. T...

  18. Basic Test Framework for the Evaluation of Text Line Segmentation and Text Parameter Extraction

    Directory of Open Access Journals (Sweden)

    Darko Brodić

    2010-05-01

    Full Text Available Text line segmentation is an essential stage in off-line optical character recognition (OCR systems. It is a key because inaccurately segmented text lines will lead to OCR failure. Text line segmentation of handwritten documents is a complex and diverse problem, complicated by the nature of handwriting. Hence, text line segmentation is a leading challenge in handwritten document image processing. Due to inconsistencies in measurement and evaluation of text segmentation algorithm quality, some basic set of measurement methods is required. Currently, there is no commonly accepted one and all algorithm evaluation is custom oriented. In this paper, a basic test framework for the evaluation of text feature extraction algorithms is proposed. This test framework consists of a few experiments primarily linked to text line segmentation, skew rate and reference text line evaluation. Although they are mutually independent, the results obtained are strongly cross linked. In the end, its suitability for different types of letters and languages as well as its adaptability are its main advantages. Thus, the paper presents an efficient evaluation method for text analysis algorithms.

  19. Digital imaging primer

    CERN Document Server

    Parkin, Alan

    2016-01-01

    Digital Imaging targets everyyone with an interest in digital imaging, be they professional or private, who uses even quite modest equipment such as a PC, digital camera and scanner, a graphics editor such as Paint, and an inkjet printer. Uniquely, it is intended to fill the gap between highly technical texts for academics (with access to expensive equipment) and superficial introductions for amateurs. The four-part treatment spans theory, technology, programs and practice. Theory covers integer arithmetic, additive and subtractive color, greyscales, computational geometry, and a new presentation of discrete Fourier analysis; Technology considers bitmap file structures, scanners, digital cameras, graphic editors, and inkjet printers; Programs develops several processing tools for use in conjunction with a standard Paint graphics editor and supplementary processing tools; Practice discusses 1-bit, greyscale, 4-bit, 8-bit, and 24-bit images for the practice section. Relevant QBASIC code is supplied an accompa...

  20. LOTUS: Adaptive text search for big linked data

    NARCIS (Netherlands)

    Ilievski, F.; Beek, Wouter; van Erp, Marieke; Rietveld, Laurens; Schlobach, Stefan

    2016-01-01

    Finding relevant resources on the Semantic Web today is a dirty job: no centralized query service exists and the support for natural language access is limited. We present LOTUS: Linked Open Text Un- leaShed, a text-based entry point to a massive subset of today’s Linked Open Data Cloud. Recognizing

  1. Hiding Techniques for Dynamic Encryption Text based on Corner Point

    Science.gov (United States)

    Abdullatif, Firas A.; Abdullatif, Alaa A.; al-Saffar, Amna

    2018-05-01

    Hiding technique for dynamic encryption text using encoding table and symmetric encryption method (AES algorithm) is presented in this paper. The encoding table is generated dynamically from MSB of the cover image points that used as the first phase of encryption. The Harris corner point algorithm is applied on cover image to generate the corner points which are used to generate dynamic AES key to second phase of text encryption. The embedded process in the LSB for the image pixels except the Harris corner points for more robust. Experimental results have demonstrated that the proposed scheme have embedding quality, error-free text recovery, and high value in PSNR.

  2. Classification of protein-protein interaction full-text documents using text and citation network features.

    Science.gov (United States)

    Kolchinsky, Artemy; Abi-Haidar, Alaa; Kaur, Jasleen; Hamed, Ahmed Abdeen; Rocha, Luis M

    2010-01-01

    We participated (as Team 9) in the Article Classification Task of the Biocreative II.5 Challenge: binary classification of full-text documents relevant for protein-protein interaction. We used two distinct classifiers for the online and offline challenges: 1) the lightweight Variable Trigonometric Threshold (VTT) linear classifier we successfully introduced in BioCreative 2 for binary classification of abstracts and 2) a novel Naive Bayes classifier using features from the citation network of the relevant literature. We supplemented the supplied training data with full-text documents from the MIPS database. The lightweight VTT classifier was very competitive in this new full-text scenario: it was a top-performing submission in this task, taking into account the rank product of the Area Under the interpolated precision and recall Curve, Accuracy, Balanced F-Score, and Matthew's Correlation Coefficient performance measures. The novel citation network classifier for the biomedical text mining domain, while not a top performing classifier in the challenge, performed above the central tendency of all submissions, and therefore indicates a promising new avenue to investigate further in bibliome informatics.

  3. One Size Does Not Fit All: Older Adults Benefit From Redundant Text in Multimedia Instruction

    Directory of Open Access Journals (Sweden)

    Barbara eFenesi

    2015-07-01

    Full Text Available The multimedia design of presentations typically ignores that younger and older adults have varying cognitive strengths and weaknesses. We examined whether differential instructional design may enhance learning in these populations. Younger and older participants viewed one of three computer-based presentations: Audio only (narration, Redundant (audio narration with redundant text, or Complementary (audio narration with non–redundant text and images. Younger participants learned better when audio narration was paired with relevant images compared to when audio narration was paired with redundant text. However, older participants learned best when audio narration was paired with redundant text. Younger adults, who presumably have a higher working memory capacity, appear to benefit more from complementary information that may drive deeper conceptual processing. In contrast, older adults learn better from presentations that support redundant coding across modalities, which may help mitigate the effects of age-related decline in working memory capacity. Additionally, several misconceptions of design quality appeared across age groups: both younger and older participants positively rated less effective designs. Findings suggest that one-size does not fit all, with older adults requiring unique multimedia design tailored to their cognitive abilities for effective learning.

  4. Applied medical image processing a basic course

    CERN Document Server

    Birkfellner, Wolfgang

    2014-01-01

    A widely used, classroom-tested text, Applied Medical Image Processing: A Basic Course delivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the field. Avoiding excessive mathematical formalisms, the book presents key principles by implementing algorithms from scratch and using simple MATLAB®/Octave scripts with image data and illustrations on an accompanying CD-ROM or companion website. Organized as a complete textbook, it provides an overview of the physics of medical image processing and discusses image formats and data storage, intensity transforms, filtering of images and applications of the Fourier transform, three-dimensional spatial transforms, volume rendering, image registration, and tomographic reconstruction.

  5. Layout-aware text extraction from full-text PDF of scientific articles

    Directory of Open Access Journals (Sweden)

    Ramakrishnan Cartic

    2012-05-01

    Full Text Available Abstract Background The Portable Document Format (PDF is the most commonly used file format for online scientific publications. The absence of effective means to extract text from these PDF files in a layout-aware manner presents a significant challenge for developers of biomedical text mining or biocuration informatics systems that use published literature as an information source. In this paper we introduce the ‘Layout-Aware PDF Text Extraction’ (LA-PDFText system to facilitate accurate extraction of text from PDF files of research articles for use in text mining applications. Results Our paper describes the construction and performance of an open source system that extracts text blocks from PDF-formatted full-text research articles and classifies them into logical units based on rules that characterize specific sections. The LA-PDFText system focuses only on the textual content of the research articles and is meant as a baseline for further experiments into more advanced extraction methods that handle multi-modal content, such as images and graphs. The system works in a three-stage process: (1 Detecting contiguous text blocks using spatial layout processing to locate and identify blocks of contiguous text, (2 Classifying text blocks into rhetorical categories using a rule-based method and (3 Stitching classified text blocks together in the correct order resulting in the extraction of text from section-wise grouped blocks. We show that our system can identify text blocks and classify them into rhetorical categories with Precision1 = 0.96% Recall = 0.89% and F1 = 0.91%. We also present an evaluation of the accuracy of the block detection algorithm used in step 2. Additionally, we have compared the accuracy of the text extracted by LA-PDFText to the text from the Open Access subset of PubMed Central. We then compared this accuracy with that of the text extracted by the PDF2Text system, 2commonly used to extract text from PDF

  6. The Balinese Unicode Text Processing

    Directory of Open Access Journals (Sweden)

    Imam Habibi

    2009-06-01

    Full Text Available In principal, the computer only recognizes numbers as the representation of a character. Therefore, there are many encoding systems to allocate these numbers although not all characters are covered. In Europe, every single language even needs more than one encoding system. Hence, a new encoding system known as Unicode has been established to overcome this problem. Unicode provides unique id for each different characters which does not depend on platform, program, and language. Unicode standard has been applied in a number of industries, such as Apple, HP, IBM, JustSystem, Microsoft, Oracle, SAP, Sun, Sybase, and Unisys. In addition, language standards and modern information exchanges such as XML, Java, ECMA Script (JavaScript, LDAP, CORBA 3.0, and WML make use of Unicode as an official tool for implementing ISO/IEC 10646. There are four things to do according to Balinese script: the algorithm of transliteration, searching, sorting, and word boundary analysis (spell checking. To verify the truth of algorithm, some applications are made. These applications can run on Linux/Windows OS platform using J2SDK 1.5 and J2ME WTK2 library. The input and output of the algorithm/application are character sequence that is obtained from keyboard punch and external file. This research produces a module or a library which is able to process the Balinese text based on Unicode standard. The output of this research is the ability, skill, and mastering of 1. Unicode standard (21-bit as a substitution to ASCII (7-bit and ISO8859-1 (8-bit as the former default character set in many applications. 2. The Balinese Unicode text processing algorithm. 3. An experience of working with and learning from an international team that consists of the foremost experts in the area: Michael Everson (Ireland, Peter Constable (Microsoft US, I Made Suatjana, and Ida Bagus Adi Sudewa.

  7. DHARMAYATRA IN THE DWIJENDRA TATTWA TEXT ANALYSIS OF RECEPTION

    Directory of Open Access Journals (Sweden)

    Ida Bagus Rai Putra

    2012-11-01

    Full Text Available The object of the study is Dwijendra Text (hereinafter abbreviated to DT. It containsinteresting narrations and is importantly related to the dharmayatra, the holy religious journeymade by Dang Hyang Nirartha, the charismatic figure, in Bali, Lombok and Sumbawa. Beforethe analysis of reception was conducted, the corpus text of the DT texts completely andstructurally telling the religious journey made by Dang Hyang Nirartha was successfullydetermined. The analysis in this study was made to answer the following questions: what is thenarrative structure of the DT text; what are the enlightenment image entities of the dharmayatraof the DT text; how do people appreciate the dharmayatra of the DT text? The answers to thenarrative structure of the DT text; the image entities and the appreciation provided by people arethe main objectives of this study.The theories adopted in this study are the theory of reception introduced by Jauss, thetheory of semiotics introduced by Pierce and the theory of mythology introduced by Barthes. Asa qualitative study, the data needed were collected by the methods of observation, note taking,documentation and interview supported with a sound recorder and pictures. The results of theanalysis are informally presented, meaning that they are verbally described in the form of wordswhich are systematically composed based on the problems formulated in this study.The analysis of the narrative structure of the DT text contains narrative units which are inthe forms of theme, characters and plots. They all unite to form stories which are mythological,legendary, symbolic, hagiographic and suggestive in nature. Based on the analysis ofenlightenment image entities, it can be concluded that there are three basic entities leading to thecreation of the DT text. They are first enlightenment; second protection of Hinduism; and thirdconstruction of temple institutions. Based on the reception analysis, it can be concluded thatpeople, through

  8. Biased limiter experiments on text

    International Nuclear Information System (INIS)

    Phillips, P.E.; Wootton, A.J.; Rowan, W.L.; Ritz, C.P.; Rhodes, T.L.; Bengtson, R.D.; Hodge, W.L.; Durst, R.D.; McCool, S.C.; Richards, B.; Gentle, K.W.; Schoch, P.; Forster, J.C.; Hickok, R.L.; Evans, T.E.

    1987-01-01

    Experiments using an electrically biased limiter have been performed on the Texas Experimental Tokamak (TEXT). A small movable limiter is inserted past the main poloidal ring limiter (which is electrically connected to the vacuum vessel) and biased at V Lim with respect to it. The floating potential, plasma potential and shear layer position can be controlled. With vertical strokeV Lim vertical stroke ≥ 50 V the plasma density increases. For V Lim Lim > 0 the results obtained are inconclusive. Variation of V Lim changes the electrostatic turbulence which may explain the observed total flux changes. (orig.)

  9. New Historicism: Text and Context

    Directory of Open Access Journals (Sweden)

    Violeta M. Vesić

    2016-02-01

    Full Text Available During most of the twentieth century history was seen as a phenomenon outside of literature that guaranteed the veracity of literary interpretation. History was unique and it functioned as a basis for reading literary works. During the seventies of the twentieth century there occurred a change of attitude towards history in American literary theory, and there appeared a new theoretical approach which soon became known as New Historicism. Since its inception, New Historicism has been identified with the study of Renaissance and Romanticism, but nowadays it has been increasingly involved in other literary trends. Although there are great differences in the arguments and practices at various representatives of this school, New Historicism has clearly recognizable features and many new historicists will agree with the statement of Walter Cohen that New Historicism, when it appeared in the eighties, represented something quite new in reference to the studies of theory, criticism and history (Cohen 1987, 33. Theoretical connection with Bakhtin, Foucault and Marx is clear, as well as a kind of uneasy tie with deconstruction and the work of Paul de Man. At the center of this approach is a renewed interest in the study of literary works in the light of historical and political circumstances in which they were created. Foucault encouraged readers to begin to move literary texts and to link them with discourses and representations that are not literary, as well as to examine the sociological aspects of the texts in order to take part in the social struggles of today. The study of literary works using New Historicism is the study of politics, history, culture and circumstances in which these works were created. With regard to one of the main fact which is located in the center of the criticism, that history cannot be viewed objectively and that reality can only be understood through a cultural context that reveals the work, re-reading and interpretation of

  10. Layout-aware text extraction from full-text PDF of scientific articles.

    Science.gov (United States)

    Ramakrishnan, Cartic; Patnia, Abhishek; Hovy, Eduard; Burns, Gully Apc

    2012-05-28

    The Portable Document Format (PDF) is the most commonly used file format for online scientific publications. The absence of effective means to extract text from these PDF files in a layout-aware manner presents a significant challenge for developers of biomedical text mining or biocuration informatics systems that use published literature as an information source. In this paper we introduce the 'Layout-Aware PDF Text Extraction' (LA-PDFText) system to facilitate accurate extraction of text from PDF files of research articles for use in text mining applications. Our paper describes the construction and performance of an open source system that extracts text blocks from PDF-formatted full-text research articles and classifies them into logical units based on rules that characterize specific sections. The LA-PDFText system focuses only on the textual content of the research articles and is meant as a baseline for further experiments into more advanced extraction methods that handle multi-modal content, such as images and graphs. The system works in a three-stage process: (1) Detecting contiguous text blocks using spatial layout processing to locate and identify blocks of contiguous text, (2) Classifying text blocks into rhetorical categories using a rule-based method and (3) Stitching classified text blocks together in the correct order resulting in the extraction of text from section-wise grouped blocks. We show that our system can identify text blocks and classify them into rhetorical categories with Precision1 = 0.96% Recall = 0.89% and F1 = 0.91%. We also present an evaluation of the accuracy of the block detection algorithm used in step 2. Additionally, we have compared the accuracy of the text extracted by LA-PDFText to the text from the Open Access subset of PubMed Central. We then compared this accuracy with that of the text extracted by the PDF2Text system, 2commonly used to extract text from PDF. Finally, we discuss preliminary error analysis for

  11. Clinical relevance of the apparent diffusion coefficient value of metastatic bone tumours on diffusion-weighted MRI images: differences according to the types of primary tumour, the affected bones, and clinical factors.

    Science.gov (United States)

    Cha, M J; Yoon, Y C

    2015-10-01

    To evaluate whether the apparent diffusion coefficient (ADC) of metastatic bone tumours on diffusion-weighted magnetic resonance imaging (MRI) images differs according to the type of primary cancer, the affected bone, and clinical factors. For this retrospective study, two radiologists reviewed MRI images, including ADC maps, of 67 patients (M:F=38:29; median age, 48 years) who were diagnosed with bone metastasis by means of histological or clinical confirmation. The primary tumours included 29 lung adenocarcinomas, 15 invasive ductal adenocarcinomas of the breast, 13 hepatocellular carcinomas, six prostatic carcinomas, and four renal cell carcinomas. ADC values of the metastatic tumour were compared according to the type of primary malignancy, the affected bone, and the age and sex of the patient using Kruskal-Wallis and Mann-Whitney U-tests with Bonferroni correction. In addition, pre-contrast CT images were available in 38 of 67 patients; a subanalysis of the CT radiodensity and ADC values were performed with Spearman correlation. The mean, standard deviation, and minimum and maximum values of the ADC of metastatic bone tumours did not differ significantly according to type of primary malignancy, the affected bone, or clinical variables (p>0.1). The ADC value was not significantly correlated with CT radiodensity (p=0.24). Intra- and interobserver agreements for the mean ADC values were excellent (intra-observer: p=0.98; interobserver: p=0.98). Assessment of the ADC value of metastatic bone tumours is not reliable for differentiation of the type of primary cancer. Copyright © 2015 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

  12. Vygotsky's Crisis: Argument, context, relevance.

    Science.gov (United States)

    Hyman, Ludmila

    2012-06-01

    Vygotsky's The Historical Significance of the Crisis in Psychology (1926-1927) is an important text in the history and philosophy of psychology that has only become available to scholars in 1982 in Russian, and in 1997 in English. The goal of this paper is to introduce Vygotsky's conception of psychology to a wider audience. I argue that Vygotsky's argument about the "crisis" in psychology and its resolution can be fully understood only in the context of his social and political thinking. Vygotsky shared the enthusiasm, widespread among Russian leftist intelligentsia in the 1920s, that Soviet society had launched an unprecedented social experiment: The socialist revolution opened the way for establishing social conditions that would let the individual flourish. For Vygotsky, this meant that "a new man" of the future would become "the first and only species in biology that would create itself." He envisioned psychology as a science that would serve this humanist teleology. I propose that The Crisis is relevant today insofar as it helps us define a fundamental problem: How can we systematically account for the development of knowledge in psychology? I evaluate how Vygotsky addresses this problem as a historian of the crisis. Copyright © 2011 Elsevier Ltd. All rights reserved.

  13. Transfer Learning beyond Text Classification

    Science.gov (United States)

    Yang, Qiang

    Transfer learning is a new machine learning and data mining framework that allows the training and test data to come from different distributions or feature spaces. We can find many novel applications of machine learning and data mining where transfer learning is necessary. While much has been done in transfer learning in text classification and reinforcement learning, there has been a lack of documented success stories of novel applications of transfer learning in other areas. In this invited article, I will argue that transfer learning is in fact quite ubiquitous in many real world applications. In this article, I will illustrate this point through an overview of a broad spectrum of applications of transfer learning that range from collaborative filtering to sensor based location estimation and logical action model learning for AI planning. I will also discuss some potential future directions of transfer learning.

  14. Mobile medical image retrieval

    Science.gov (United States)

    Duc, Samuel; Depeursinge, Adrien; Eggel, Ivan; Müller, Henning

    2011-03-01

    Images are an integral part of medical practice for diagnosis, treatment planning and teaching. Image retrieval has gained in importance mainly as a research domain over the past 20 years. Both textual and visual retrieval of images are essential. In the process of mobile devices becoming reliable and having a functionality equaling that of formerly desktop clients, mobile computing has gained ground and many applications have been explored. This creates a new field of mobile information search & access and in this context images can play an important role as they often allow understanding complex scenarios much quicker and easier than free text. Mobile information retrieval in general has skyrocketed over the past year with many new applications and tools being developed and all sorts of interfaces being adapted to mobile clients. This article describes constraints of an information retrieval system including visual and textual information retrieval from the medical literature of BioMedCentral and of the RSNA journals Radiology and Radiographics. Solutions for mobile data access with an example on an iPhone in a web-based environment are presented as iPhones are frequently used and the operating system is bound to become the most frequent smartphone operating system in 2011. A web-based scenario was chosen to allow for a use by other smart phone platforms such as Android as well. Constraints of small screens and navigation with touch screens are taken into account in the development of the application. A hybrid choice had to be taken to allow for taking pictures with the cell phone camera and upload them for visual similarity search as most producers of smart phones block this functionality to web applications. Mobile information access and in particular access to images can be surprisingly efficient and effective on smaller screens. Images can be read on screen much faster and relevance of documents can be identified quickly through the use of images contained in

  15. "Texts Like a Patchwork Quilt": Reading Picturebooks about Slavery

    Science.gov (United States)

    Connolly, Paula T.

    2013-01-01

    This article examines narrative strategies present in picturebooks about slavery that feature quilts. Against the depicted dangers of slavery, images of quilts serve to offer a sense of hope and in that way they provide a means of discussing difficult subjects with very young readers. As a central image in these texts, the quilt is variously…

  16. A programmed text in statistics

    CERN Document Server

    Hine, J

    1975-01-01

    Exercises for Section 2 42 Physical sciences and engineering 42 43 Biological sciences 45 Social sciences Solutions to Exercises, Section 1 47 Physical sciences and engineering 47 49 Biological sciences 49 Social sciences Solutions to Exercises, Section 2 51 51 PhYSical sciences and engineering 55 Biological sciences 58 Social sciences 62 Tables 2 62 x - tests involving variances 2 63,64 x - one tailed tests 2 65 x - two tailed tests F-distribution 66-69 Preface This project started some years ago when the Nuffield Foundation kindly gave a grant for writing a pro­ grammed text to use with service courses in statistics. The work carried out by Mrs. Joan Hine and Professor G. B. Wetherill at Bath University, together with some other help from time to time by colleagues at Bath University and elsewhere. Testing was done at various colleges and universities, and some helpful comments were received, but we particularly mention King Edwards School, Bath, who provided some sixth formers as 'guinea pigs' for the fir...

  17. Interactive Exploration for Image Retrieval

    Directory of Open Access Journals (Sweden)

    Jérôme Fournier

    2005-08-01

    Full Text Available We present a new version of our content-based image retrieval system RETIN. It is based on adaptive quantization of the color space, together with new features aiming at representing the spatial relationship between colors. Color analysis is also extended to texture. Using these powerful indexes, an original interactive retrieval strategy is introduced. The process is based on two steps for handling the retrieval of very large image categories. First, a controlled exploration method of the database is presented. Second, a relevance feedback method based on statistical learning is proposed. All the steps are evaluated by experiments on a generalist database.

  18. Passage relevance models for genomics search

    Directory of Open Access Journals (Sweden)

    Frieder Ophir

    2009-03-01

    Full Text Available Abstract We present a passage relevance model for integrating syntactic and semantic evidence of biomedical concepts and topics using a probabilistic graphical model. Component models of topics, concepts, terms, and document are represented as potential functions within a Markov Random Field. The probability of a passage being relevant to a biologist's information need is represented as the joint distribution across all potential functions. Relevance model feedback of top ranked passages is used to improve distributional estimates of query concepts and topics in context, and a dimensional indexing strategy is used for efficient aggregation of concept and term statistics. By integrating multiple sources of evidence including dependencies between topics, concepts, and terms, we seek to improve genomics literature passage retrieval precision. Using this model, we are able to demonstrate statistically significant improvements in retrieval precision using a large genomics literature corpus.

  19. Application of image editing software for forensic detection of image ...

    African Journals Online (AJOL)

    Application of image editing software for forensic detection of image. ... The image editing software's available today is apt for creating visually compelling and sophisticated fake images, ... EMAIL FREE FULL TEXT EMAIL FREE FULL TEXT

  20. One size does not fit all: older adults benefit from redundant text in multimedia instruction.

    Science.gov (United States)

    Fenesi, Barbara; Vandermorris, Susan; Kim, Joseph A; Shore, David I; Heisz, Jennifer J

    2015-01-01

    The multimedia design of presentations typically ignores that younger and older adults have varying cognitive strengths and weaknesses. We examined whether differential instructional design may enhance learning in these populations. Younger and older participants viewed one of three computer-based presentations: Audio only (narration), Redundant (audio narration with redundant text), or Complementary (audio narration with non-redundant text and images). Younger participants learned better when audio narration was paired with relevant images compared to when audio narration was paired with redundant text. However, older participants learned best when audio narration was paired with redundant text. Younger adults, who presumably have a higher working memory capacity (WMC), appear to benefit more from complementary information that may drive deeper conceptual processing. In contrast, older adults learn better from presentations that support redundant coding across modalities, which may help mitigate the effects of age-related decline in WMC. Additionally, several misconceptions of design quality appeared across age groups: both younger and older participants positively rated less effective designs. Findings suggest that one-size does not fit all, with older adults requiring unique multimedia design tailored to their cognitive abilities for effective learning.

  1. Making academic research more relevant: A few suggestions

    Directory of Open Access Journals (Sweden)

    Abinash Panda

    2014-09-01

    Full Text Available Academic research in the domain of management scholarship, though steeped in scientific and methodological rigour, is generally found to be of little relevance to practice. The authors of this paper have revisited the rigour-relevance debate in light of recent developments and with special reference to the management research scenario in India. The central thesis of the argument is that the gulf between rigour and relevance needs to be bridged to make academic research more relevant to business organizations and practitioners. They have offered some suggestions to enhance the relevance of academic research to practice.

  2. In Vivo Photoacoustic and Fluorescence Cystography Using Clinically Relevant Dual Modal Indocyanine Green

    Directory of Open Access Journals (Sweden)

    Sungjo Park

    2014-10-01

    Full Text Available Conventional X-ray-based cystography uses radio-opaque materials, but this method uses harmful ionizing radiation and is not sensitive. In this study, we demonstrate nonionizing and noninvasive photoacoustic (PA and fluorescence (FL cystography using clinically relevant indocyanine green (ICG in vivo. After transurethral injection of ICG into rats through a catheter, their bladders were photoacoustically and fluorescently visualized. A deeply positioned bladder below the skin surface (i.e., ~1.5–5 mm was clearly visible in the PA and FL image using a laser pulse energy of less than 2 mJ/cm2 (1/15 of the safety limit. Then, the in vivo imaging results were validated through in situ studies. Our results suggest that dual modal cystography can provide a nonionizing and noninvasive imaging tool for bladder mapping.

  3. Interaction of dermatologically relevant nanoparticles with skin cells and skin

    Directory of Open Access Journals (Sweden)

    Annika Vogt

    2014-12-01

    Full Text Available The investigation of nanoparticle interactions with tissues is complex. High levels of standardization, ideally testing of different material types in the same biological model, and combinations of sensitive imaging and detection methods are required. Here, we present our studies on nanoparticle interactions with skin, skin cells, and biological media. Silica, titanium dioxide and silver particles were chosen as representative examples for different types of skin exposure to nanomaterials, e.g., unintended environmental exposure (silica versus intended exposure through application of sunscreen (titanium dioxide or antiseptics (silver. Because each particle type exhibits specific physicochemical properties, we were able to apply different combinations of methods to examine skin penetration and cellular uptake, including optical microscopy, electron microscopy, X-ray microscopy on cells and tissue sections, flow cytometry of isolated skin cells as well as Raman microscopy on whole tissue blocks. In order to assess the biological relevance of such findings, cell viability and free radical production were monitored on cells and in whole tissue samples. The combination of technologies and the joint discussion of results enabled us to look at nanoparticle–skin interactions and the biological relevance of our findings from different angles.

  4. Profiling School Shooters: Automatic Text-Based Analysis

    Directory of Open Access Journals (Sweden)

    Yair eNeuman

    2015-06-01

    Full Text Available School shooters present a challenge to both forensic psychiatry and law enforcement agencies. The relatively small number of school shooters, their various charateristics, and the lack of in-depth analysis of all of the shooters prior to the shooting add complexity to our understanding of this problem. In this short paper, we introduce a new methodology for automatically profiling school shooters. The methodology involves automatic analysis of texts and the production of several measures relevant for the identification of the shooters. Comparing texts written by six school shooters to 6056 texts written by a comparison group of male subjects, we found that the shooters' texts scored significantly higher on the Narcissistic Personality dimension as well as on the Humilated and Revengeful dimensions. Using a ranking/priorization procedure, similar to the one used for the automatic identification of sexual predators, we provide support for the validity and relevance of the proposed methodology.

  5. Application of dried-droplets deposited on pre-cut filter paper disks for quantitative LA-ICP-MS imaging of biologically relevant minor and trace elements in tissue samples.

    Science.gov (United States)

    Bonta, Maximilian; Hegedus, Balazs; Limbeck, Andreas

    2016-02-18

    In this work, a novel calibration approach for minor and trace element quantification in LA-ICP-MS imaging of biological tissues is presented. Droplets of aqueous standard solutions are deposited onto pre-cut pieces of filter paper, allowed to dry, and sputtered with a thin gold layer for use as pseudo-internal standard. Analysis of the standards using LA-ICP-MS is performed using radial line-scans across the filters. In contrast to conventionally used preparation of matrix-matched tissue standards, the dried-droplet approach offers a variety of advantages: The standards are easy to prepare, no characterization of the standards using acid digestion is required, no handling of biological materials is necessary, and the concentration range, as well the number of investigated analytes is almost unlimited. The proposed quantification method has been verified using homogenized tissue standards with known analyte concentrations before being applied to a human malignant mesothelioma biopsy from a patient who had not received any chemotherapeutic treatment. Elemental distribution images were acquired at a lateral resolution of 40 μm per pixel, limits of detection ranging from 0.1 μg g(-1) (Mn, Ni, Cu, Zn) to 13.2 μg g(-1) (K) were reached. Copyright © 2016 Elsevier B.V. All rights reserved.

  6. Inferring relevance in a changing world

    Directory of Open Access Journals (Sweden)

    Robert C Wilson

    2012-01-01

    Full Text Available Reinforcement learning models of human and animal learning usually concentrate on how we learn the relationship between different stimuli or actions and rewards. However, in real world situations stimuli are ill-defined. On the one hand, our immediate environment is extremely multi-dimensional. On the other hand, in every decision-making scenario only a few aspects of the environment are relevant for obtaining reward, while most are irrelevant. Thus a key question is how do we learn these relevant dimensions, that is, how do we learn what to learn about? We investigated this process of representation learning experimentally, using a task in which one stimulus dimension was relevant for determining reward at each point in time. As in real life situations, in our task the relevant dimension can change without warning, adding ever-present uncertainty engendered by a constantly changing environment. We show that human performance on this task is better described by a suboptimal strategy based on selective attention and serial hypothesis testing rather than a normative strategy based on probabilistic inference. From this, we conjecture that the problem of inferring relevance in general scenarios is too computationally demanding for the brain to solve optimally. As a result the brain utilizes approximations, employing these even in simplified scenarios in which optimal representation learning is tractable, such as the one in our experiment.

  7. Tomographic diagnosis and relevant aspects of otosclerosis

    International Nuclear Information System (INIS)

    Gaiotti, Juliana Oggioni; Gomes, Natalia Delage; Costa, Ana Maria Doffemond; Villela, Caroline Laurita Batista Couto; Moreira, Wanderval; Diniz, Renata Lopes Furletti Caldeira

    2013-01-01

    A literature review and pictorial essay were developed to discuss the importance of knowing the main findings and locations of otosclerosis at multidetector computed tomography (MDCT). The authors performed a retrospective review of cases of otosclerosis diagnosed in their institution by means of high resolution multidetector computed tomography. Otosclerosis corresponds to otic capsule dysplasia characterized by metabolic derangement of its endochondral layer. Such condition constitutes a relevant cause of sensorineural hearing loss, affecting about 7% to 10% of the general population. The diagnosis is usually clinical, but imaging methods play a significant role in the anatomical detailing, differential diagnosis, surgical planning and evaluation of postoperative complications. Among such methods, the relevance of MDCT is highlighted. Radiologists should be familiar with the MDCT findings of otosclerosis, as well as with the temporal bone anatomy to assist in the appropriate clinical management of this disease. (author)

  8. Tomographic diagnosis and relevant aspects of otosclerosis

    Energy Technology Data Exchange (ETDEWEB)

    Gaiotti, Juliana Oggioni; Gomes, Natalia Delage; Costa, Ana Maria Doffemond; Villela, Caroline Laurita Batista Couto; Moreira, Wanderval; Diniz, Renata Lopes Furletti Caldeira, E-mail: jugaiotti@gmail.com [Hospital Mater Dei-Mater Imagem, Belo Horizonte, MG (Brazil)

    2013-09-15

    A literature review and pictorial essay were developed to discuss the importance of knowing the main findings and locations of otosclerosis at multidetector computed tomography (MDCT). The authors performed a retrospective review of cases of otosclerosis diagnosed in their institution by means of high resolution multidetector computed tomography. Otosclerosis corresponds to otic capsule dysplasia characterized by metabolic derangement of its endochondral layer. Such condition constitutes a relevant cause of sensorineural hearing loss, affecting about 7% to 10% of the general population. The diagnosis is usually clinical, but imaging methods play a significant role in the anatomical detailing, differential diagnosis, surgical planning and evaluation of postoperative complications. Among such methods, the relevance of MDCT is highlighted. Radiologists should be familiar with the MDCT findings of otosclerosis, as well as with the temporal bone anatomy to assist in the appropriate clinical management of this disease. (author)

  9. Image Retrieval Berdasarkan Fitur Warna, Bentuk, dan Tekstur

    Directory of Open Access Journals (Sweden)

    Rita Layona

    2014-12-01

    Full Text Available Along with the times, information retrieval is no longer just on textual data, but also the visual data. The technique was originally used is Text-Based Image Retrieval (TBIR, but the technique still has some shortcomings such as the relevance of the picture successfully retrieved, and the specific space required to store meta-data in the image. Seeing the shortage of Text-Based Image Retrieval techniques, then other techniques were developed, namely Image Retrieval based on content or commonly called Content Based Image Retrieval (CBIR. In this research, CBIR will be discussed based on color, shape and texture using a color histogram, Gabor and SIFT. This study aimed to compare the results of image retrieval with some of these techniques. The results obtained are by combining color, shape and texture features, the performance of the system can be improved.

  10. Image quality dependence on image processing software in ...

    African Journals Online (AJOL)

    Image quality dependence on image processing software in computed radiography. ... Agfa CR readers use MUSICA software, and an upgrade with significantly different image ... Full Text: EMAIL FREE FULL TEXT EMAIL FREE FULL TEXT

  11. Clinicopathological and prognostic relevance of uptake level using 18F-fluorodeoxyglucose positron emission tomography/computed tomography fusion imaging (18F-FDG PET/CT) in primary breast cancer

    International Nuclear Information System (INIS)

    Ueda, Shigeto; Tsuda, Hitoshi; Asakawa, Hideki

    2008-01-01

    Using integrated 18 F-fluorodeoxyglucose positron emission tomography/computed tomography fusion imaging ( 18 F-FDG PET/CT), the clinical significance of 18 F-FDG uptake was evaluated in patients with primary breast cancer. Clinicopathological correlation with the level of maximum standardized uptake values (SUV) 60 min obtained from preoperative 18 F-FDG PET/CT were examined in 152 patients with primary breast cancer. The prognostic impact of the level of SUV was explored using simulated prognosis derived from computed program Adjuvant! in 136 (89%) patients with invasive ductal carcinoma (IDC). High SUV level was significantly correlated with tumor invasive size (≤2 cm) (P 18 F-FDG would be predictive of poor prognosis in patients with primary breast cancer, and aggressive features of cancer cells in patients with early breast cancer. 18 F-FDG PET/CT could be a useful tool to pretherapeutically predict biological characteristics and baseline risk of breast cancer. (author)

  12. Retinal Imaging and Image Analysis

    Science.gov (United States)

    Abràmoff, Michael D.; Garvin, Mona K.; Sonka, Milan

    2011-01-01

    Many important eye diseases as well as systemic diseases manifest themselves in the retina. While a number of other anatomical structures contribute to the process of vision, this review focuses on retinal imaging and image analysis. Following a brief overview of the most prevalent causes of blindness in the industrialized world that includes age-related macular degeneration, diabetic retinopathy, and glaucoma, the review is devoted to retinal imaging and image analysis methods and their clinical implications. Methods for 2-D fundus imaging and techniques for 3-D optical coherence tomography (OCT) imaging are reviewed. Special attention is given to quantitative techniques for analysis of fundus photographs with a focus on clinically relevant assessment of retinal vasculature, identification of retinal lesions, assessment of optic nerve head (ONH) shape, building retinal atlases, and to automated methods for population screening for retinal diseases. A separate section is devoted to 3-D analysis of OCT images, describing methods for segmentation and analysis of retinal layers, retinal vasculature, and 2-D/3-D detection of symptomatic exudate-associated derangements, as well as to OCT-based analysis of ONH morphology and shape. Throughout the paper, aspects of image acquisition, image analysis, and clinical relevance are treated together considering their mutually interlinked relationships. PMID:22275207

  13. Mental Imagery, Text Illustrations, and Children's Story Comprehension and Recall.

    Science.gov (United States)

    Gambrell, Linda B.; Jawitz, Paula Brooks

    1993-01-01

    Investigates the effects of instructions to induce mental imagery and attend to text illustrations on fourth graders' reading comprehension and recall of narrative text. Finds that images and illustrations independently enhanced reading performance and that, in combination, these two strategies resulted in impressive increases in children's…

  14. Relevance theory: pragmatics and cognition.

    Science.gov (United States)

    Wearing, Catherine J

    2015-01-01

    Relevance Theory is a cognitively oriented theory of pragmatics, i.e., a theory of language use. It builds on the seminal work of H.P. Grice(1) to develop a pragmatic theory which is at once philosophically sensitive and empirically plausible (in both psychological and evolutionary terms). This entry reviews the central commitments and chief contributions of Relevance Theory, including its Gricean commitment to the centrality of intention-reading and inference in communication; the cognitively grounded notion of relevance which provides the mechanism for explaining pragmatic interpretation as an intention-driven, inferential process; and several key applications of the theory (lexical pragmatics, metaphor and irony, procedural meaning). Relevance Theory is an important contribution to our understanding of the pragmatics of communication. © 2014 John Wiley & Sons, Ltd.

  15. Incorporating other texts: Intertextuality in Malaysian CSR reports

    Directory of Open Access Journals (Sweden)

    Kumaran Rajandran

    2016-11-01

    Full Text Available In Malaysia, corporate social responsibility (CSR is relatively new but corporations have been required to engage in and disclose their CSR. A typical genre for disclosure is CSR reports and these reports often refer to other texts. The article investigates the act of referencing to other texts or intertextuality in Malaysian CSR reports. It creates an archive of CEO Statements and Environment Sections in CSR reports and studies the archive for keywords, which can identify the incorporated texts. The function of these texts is examined in relation to Malaysia’s corporate context. CSR reports contain explicit references to documents (policies, regulations, reports, research, standards and to individuals/groups (CEOs, stakeholders, expert organizations. The incorporated texts display variation in corporate control, which organizes these texts along an intertextual cline. The cline helps to identify corporate and non-corporate sources among the texts. The selection of incorporated texts may reflect government and stock exchange demands. The texts are not standardized and are relevant for the CSR domain and corporations, where these texts monitor and justify CSR performance. Yet, the incorporated texts may perpetuate inexact reporting because corporations select the texts and the parts of texts to refer to. Since these texts have been employed to scrutinize initiatives and results, CSR reports can claim to represent the “truth” about a corporation’s CSR. Hence, intertextuality serves corporate interests.

  16. Clinical relevance in anesthesia journals

    DEFF Research Database (Denmark)

    Lauritsen, Jakob; Møller, Ann M

    2006-01-01

    The purpose of this review is to present the latest knowledge and research on the definition and distribution of clinically relevant articles in anesthesia journals. It will also discuss the importance of the chosen methodology and outcome of articles.......The purpose of this review is to present the latest knowledge and research on the definition and distribution of clinically relevant articles in anesthesia journals. It will also discuss the importance of the chosen methodology and outcome of articles....

  17. Terminology extraction from medical texts in Polish.

    Science.gov (United States)

    Marciniak, Małgorzata; Mykowiecka, Agnieszka

    2014-01-01

    Hospital documents contain free text describing the most important facts relating to patients and their illnesses. These documents are written in specific language containing medical terminology related to hospital treatment. Their automatic processing can help in verifying the consistency of hospital documentation and obtaining statistical data. To perform this task we need information on the phrases we are looking for. At the moment, clinical Polish resources are sparse. The existing terminologies, such as Polish Medical Subject Headings (MeSH), do not provide sufficient coverage for clinical tasks. It would be helpful therefore if it were possible to automatically prepare, on the basis of a data sample, an initial set of terms which, after manual verification, could be used for the purpose of information extraction. Using a combination of linguistic and statistical methods for processing over 1200 children hospital discharge records, we obtained a list of single and multiword terms used in hospital discharge documents written in Polish. The phrases are ordered according to their presumed importance in domain texts measured by the frequency of use of a phrase and the variety of its contexts. The evaluation showed that the automatically identified phrases cover about 84% of terms in domain texts. At the top of the ranked list, only 4% out of 400 terms were incorrect while out of the final 200, 20% of expressions were either not domain related or syntactically incorrect. We also observed that 70% of the obtained terms are not included in the Polish MeSH. Automatic terminology extraction can give results which are of a quality high enough to be taken as a starting point for building domain related terminological dictionaries or ontologies. This approach can be useful for preparing terminological resources for very specific subdomains for which no relevant terminologies already exist. The evaluation performed showed that none of the tested ranking procedures were

  18. Review of Biomedical Image Processing

    Directory of Open Access Journals (Sweden)

    Ciaccio Edward J

    2011-11-01

    Full Text Available Abstract This article is a review of the book: 'Biomedical Image Processing', by Thomas M. Deserno, which is published by Springer-Verlag. Salient information that will be useful to decide whether the book is relevant to topics of interest to the reader, and whether it might be suitable as a course textbook, are presented in the review. This includes information about the book details, a summary, the suitability of the text in course and research work, the framework of the book, its specific content, and conclusions.

  19. General Ultrasound Imaging

    Medline Plus

    Full Text Available ... through blood vessels. Ultrasound imaging is a noninvasive medical test that helps physicians diagnose and treat medical conditions. Conventional ultrasound displays the images in thin, ...

  20. Semi-Spontaneous Oral Text Production: Measurements in Clinical Practice

    Science.gov (United States)

    Lind, Marianne; Kristoffersen, Kristian Emil; Moen, Inger; Simonsen, Hanne Gram

    2009-01-01

    Functionally relevant assessment of the language production of speakers with aphasia should include assessment of connected speech production. Despite the ecological validity of everyday conversations, more controlled and monological types of texts may be easier to obtain and analyse in clinical practice. This article discusses some simple…

  1. WATERSHED ALGORITHM BASED SEGMENTATION FOR HANDWRITTEN TEXT IDENTIFICATION

    Directory of Open Access Journals (Sweden)

    P. Mathivanan

    2014-02-01

    Full Text Available In this paper we develop a system for writer identification which involves four processing steps like preprocessing, segmentation, feature extraction and writer identification using neural network. In the preprocessing phase the handwritten text is subjected to slant removal process for segmentation and feature extraction. After this step the text image enters into the process of noise removal and gray level conversion. The preprocessed image is further segmented by using morphological watershed algorithm, where the text lines are segmented into single words and then into single letters. The segmented image is feature extracted by Daubechies’5/3 integer wavelet transform to reduce training complexity [1, 6]. This process is lossless and reversible [10], [14]. These extracted features are given as input to our neural network for writer identification process and a target image is selected for each training process in the 2-layer neural network. With the several trained output data obtained from different target help in text identification. It is a multilingual text analysis which provides simple and efficient text segmentation.

  2. Support Vector Machines: Relevance Feedback and Information Retrieval.

    Science.gov (United States)

    Drucker, Harris; Shahrary, Behzad; Gibbon, David C.

    2002-01-01

    Compares support vector machines (SVMs) to Rocchio, Ide regular and Ide dec-hi algorithms in information retrieval (IR) of text documents using relevancy feedback. If the preliminary search is so poor that one has to search through many documents to find at least one relevant document, then SVM is preferred. Includes nine tables. (Contains 24…

  3. The Relevant Physical Trace in Criminal Investigation

    Directory of Open Access Journals (Sweden)

    Durdica Hazard

    2016-01-01

    Full Text Available A criminal investigation requires the forensic scientist to search and to interpret vestiges of a criminal act that happened in the past. The forensic scientist is one of the many stakeholders who take part in the information quest within the criminal justice system. She reads the investigation scene in search of physical traces that should enable her to tell the story of the offense/crime that allegedly occurred. The challenge for any investigator is to detect and recognize relevant physical traces in order to provide clues for investigation and intelligence purposes, and that will constitute sound and relevant evidence for the court. This article shows how important it is to consider the relevancy of physical traces from the beginning of the investigation and what might influence the evaluation process. The exchange and management of information between the investigation stakeholders are important. Relevancy is a dimension that needs to be understood from the standpoints of law enforcement personnel and forensic scientists with the aim of strengthening investigation and ultimately the overall judicial process.

  4. The Relevance of Causal Social Construction

    Directory of Open Access Journals (Sweden)

    Marques Teresa

    2017-02-01

    Full Text Available Social constructionist claims are surprising and interesting when they entail that presumably natural kinds are in fact socially constructed. The claims are interesting because of their theoretical and political importance. Authors like Díaz-León argue that constitutive social construction is more relevant for achieving social justice than causal social construction. This paper challenges this claim. Assuming there are socially salient groups that are discriminated against, the paper presents a dilemma: if there were no constitutively constructed social kinds, the causes of the discrimination of existing social groups would have to be addressed, and understanding causal social construction would be relevant to achieve social justice. On the other hand, not all possible constitutively socially constructed kinds are actual social kinds. If an existing social group is constitutively constructed as a social kind K, the fact that it actually exists as a K has social causes. Again, causal social construction is relevant. The paper argues that (i for any actual social kind X, if X is constitutively socially constructed as K, then it is also causally socially constructed; and (ii causal social construction is at least as relevant as constitutive social construction for concerns of social justice. For illustration, I draw upon two phenomena that are presumed to contribute towards the discrimination of women: (i the poor performance effects of stereotype threat, and (ii the silencing effects of gendered language use.

  5. Visual Saliency Models for Text Detection in Real World.

    Directory of Open Access Journals (Sweden)

    Renwu Gao

    Full Text Available This paper evaluates the degree of saliency of texts in natural scenes using visual saliency models. A large scale scene image database with pixel level ground truth is created for this purpose. Using this scene image database and five state-of-the-art models, visual saliency maps that represent the degree of saliency of the objects are calculated. The receiver operating characteristic curve is employed in order to evaluate the saliency of scene texts, which is calculated by visual saliency models. A visualization of the distribution of scene texts and non-texts in the space constructed by three kinds of saliency maps, which are calculated using Itti's visual saliency model with intensity, color and orientation features, is given. This visualization of distribution indicates that text characters are more salient than their non-text neighbors, and can be captured from the background. Therefore, scene texts can be extracted from the scene images. With this in mind, a new visual saliency architecture, named hierarchical visual saliency model, is proposed. Hierarchical visual saliency model is based on Itti's model and consists of two stages. In the first stage, Itti's model is used to calculate the saliency map, and Otsu's global thresholding algorithm is applied to extract the salient region that we are interested in. In the second stage, Itti's model is applied to the salient region to calculate the final saliency map. An experimental evaluation demonstrates that the proposed model outperforms Itti's model in terms of captured scene texts.

  6. Sealing Clay Text Segmentation Based on Radon-Like Features and Adaptive Enhancement Filters

    Directory of Open Access Journals (Sweden)

    Xia Zheng

    2015-01-01

    Full Text Available Text extraction is a key issue in sealing clay research. The traditional method based on rubbings increases the risk of sealing clay damage and is unfavorable to sealing clay protection. Therefore, using digital image of sealing clay, a new method for text segmentation based on Radon-like features and adaptive enhancement filters is proposed in this paper. First, adaptive enhancement LM filter bank is used to get the maximum energy image; second, the edge image of the maximum energy image is calculated; finally, Radon-like feature images are generated by combining maximum energy image and its edge image. The average image of Radon-like feature images is segmented by the image thresholding method. Compared with 2D Otsu, GA, and FastFCM, the experiment result shows that this method can perform better in terms of accuracy and completeness of the text.

  7. Image, Image, Image

    Science.gov (United States)

    Howell, Robert T.

    2004-01-01

    With all the talk today about accountability, budget cuts, and the closing of programs in public education, teachers cannot overlook the importance of image in the field of industrial technology. It is very easy for administrators to cut ITE (industrial technology education) programs to save school money--money they might shift to teaching the…

  8. A relevance theoretic approach to intertextuality in print advertising

    African Journals Online (AJOL)

    Anonymous vs. acknowledged intertexts: A relevance theoretic approach to intertextuality in print advertising. ... make intertextual references to texts from mass media genres other than advertising as part of an ... AJOL African Journals Online.

  9. Relevance of nanotechnology to Africa: synthesis, applications and safety

    CSIR Research Space (South Africa)

    Musee, N

    2012-07-01

    Full Text Available In this chapter, two nanotechnology-based applications relevant to Africa in promoting sustainability and achievement of the Millennium Development Goals (MDGs) are presented. The applications comprise the provision of therapeutic treatment...

  10. A text-mining system for extracting metabolic reactions from full-text articles.

    Science.gov (United States)

    Czarnecki, Jan; Nobeli, Irene; Smith, Adrian M; Shepherd, Adrian J

    2012-07-23

    Increasingly biological text mining research is focusing on the extraction of complex relationships relevant to the construction and curation of biological networks and pathways. However, one important category of pathway - metabolic pathways - has been largely neglected.Here we present a relatively simple method for extracting metabolic reaction information from free text that scores different permutations of assigned entities (enzymes and metabolites) within a given sentence based on the presence and location of stemmed keywords. This method extends an approach that has proved effective in the context of the extraction of protein-protein interactions. When evaluated on a set of manually-curated metabolic pathways using standard performance criteria, our method performs surprisingly well. Precision and recall rates are comparable to those previously achieved for the well-known protein-protein interaction extraction task. We conclude that automated metabolic pathway construction is more tractable than has often been assumed, and that (as in the case of protein-protein interaction extraction) relatively simple text-mining approaches can prove surprisingly effective. It is hoped that these results will provide an impetus to further research and act as a useful benchmark for judging the performance of more sophisticated methods that are yet to be developed.

  11. Shippingport: A relevant decommissioning project

    International Nuclear Information System (INIS)

    Crimi, F.P.

    1988-01-01

    Because of Shippingport's low electrical power rating (72 MWe), there has been some misunderstanding on the relevancy of the Shippingport Station Decommissioning Project (SSDP) to a modern 1175 MWe commercial pressurized water reactor (PWR) power station. This paper provides a comparison of the major components of the reactor plant of the 72 MWe Shippingport Atomic Power Station and an 1175 MWe nuclear plant and the relevancy of the Shippingport decommissioning as a demonstration project for the nuclear industry. For the purpose of this comparison, Portland General Electric Company's 1175 MWe Trojan Nuclear Plant at Rainier, Oregon, has been used as the reference nuclear power plant. 2 refs., 2 figs., 1 tab

  12. A Comparative Study in Communication Texts & Theories

    Directory of Open Access Journals (Sweden)

    Mahdi Mohsenian Rad

    2011-04-01

    Full Text Available The present article is to study the characteristics and general nature of audience and is described it as "Audience phantasm" in developing countries. It firstly notes that there will be consequences such as audience distancing themselves from local and official media if policy makers and media officials' imaginations of audiences become far from related bare facts have happened in the era of global media and the nature of audiences. Knowing and analyzing the image of audiences presented in new communication theories. Accordingly, as the abovementioned authorities’ viewpoint of audiences exposed to media messages keeps distance from the true nature of media activities, media‐message receivers and their current position in the booming market of media, as termed by Mohsenyan Rad as “Message Bazaar”, there will possibly be disastrous social, cultural, political, and even economic consequences with regard to media uses.Then the history and definitions of “audience”, "uses & gratifications theory" and the concept of "Audience Phantasm" is described. After that, based on those and the increased options as well as the right of selecting of today-audience in the situation of message bazaar, as a result the characteristics of them are explained.

  13. The image of Russia in 2010—2011 international indices: positioning crisis

    Directory of Open Access Journals (Sweden)

    Berendeev Mikhail

    2011-09-01

    Full Text Available This paper considers the political and economic shortcomings of the image of Russia and its perception by the international community in 2010—2011. International indices are a comprehensive information source in terms of the economic and political image of a country and, to a great extent, a decisive factor in the global trends relevant to different countries and their development potentials. The author also compares the international images of Russia and the Baltic Sea region countries.

  14. THE STUDENTS’ PERCEPTIONS OF AUTHENTIC TEXTS-BASED TRANSLATION

    Directory of Open Access Journals (Sweden)

    Rusiana .

    2017-12-01

    Full Text Available Translation requires lots of practice. As it is generally known, authentic texts provide fruitful experience for students to translate either Indonesian-English or vice versa. Authentic texts give many real uses of language in varied meaningful contexts The texts used were advertisement, abstract, local stories, tourist attraction, community service and project for money. This research is aimed at investigating whether the use of authentic texts benefits the students and describing the students’ perceptions toward the use of authentic texts in Translation class. It is a qualitative research. Questionnaires were used to obtain the students’ perceptions on the use of authentic texts in translation. The findings show that authentic texts-based translation benefits students in experiencing better translation. Advertisement was considered to be the most relevant text. On the contrary, they find it difficult to cope with authentic texts particularly dealing with words/terms/vocabulary, meanings, culture, and grammar. The recommendations are that the students have to be exposed to many authentic texts of varied topics in both English and Indonesian in order that they understand both the SL and TL well. For further researchers, it would be possible to research on the influence of authentic texts based translation on the students’ translation skill.

  15. General Ultrasound Imaging

    Medline Plus

    Full Text Available ... News Physician Resources Professions Site Index A-Z General Ultrasound Ultrasound imaging uses sound waves to produce ... the limitations of General Ultrasound Imaging? What is General Ultrasound Imaging? Ultrasound is safe and painless, and ...

  16. General Ultrasound Imaging

    Medline Plus

    Full Text Available ... Imaging? Ultrasound waves are disrupted by air or gas; therefore ultrasound is not an ideal imaging technique ... with caption Pediatric Content Some imaging tests and treatments have special pediatric considerations. The teddy bear denotes ...

  17. Doing Mathematics with Purpose: Mathematical Text Types

    Science.gov (United States)

    Dostal, Hannah M.; Robinson, Richard

    2018-01-01

    Mathematical literacy includes learning to read and write different types of mathematical texts as part of purposeful mathematical meaning making. Thus in this article, we describe how learning to read and write mathematical texts (proof text, algorithmic text, algebraic/symbolic text, and visual text) supports the development of students'…

  18. The socio-demographics of texting

    DEFF Research Database (Denmark)

    Ling, Richard; Bertel, Troels Fibæk; Sundsøy, Pål

    2012-01-01

    Who texts, and with whom do they text? This article examines the use of texting using metered traffic data from a large dataset (nearly 400 million anonymous text messages). We ask 1) How much do different age groups use mobile phone based texting (SMS)? 2) How wide is the circle of texting...

  19. Dramatic lives and relevant becomings

    DEFF Research Database (Denmark)

    Henriksen, Ann-Karina; Miller, Jody

    2012-01-01

    of marginality into positions of relevance. The analysis builds on empirical data from Copenhagen, Denmark, gained through ethnographic fieldwork with the participation of 20 female informants aged 13–22. The theoretical contribution proposes viewing conflicts as multi-linear, multi-causal and non...

  20. Regularization in Matrix Relevance Learning

    NARCIS (Netherlands)

    Schneider, Petra; Bunte, Kerstin; Stiekema, Han; Hammer, Barbara; Villmann, Thomas; Biehl, Michael

    A In this paper, we present a regularization technique to extend recently proposed matrix learning schemes in learning vector quantization (LVQ). These learning algorithms extend the concept of adaptive distance measures in LVQ to the use of relevance matrices. In general, metric learning can

  1. Relevant closure: a new form of defeasible reasoning for description logics

    CSIR Research Space (South Africa)

    Casini, G

    2014-09-01

    Full Text Available Relevant Closure and Minimal Relevant Closure. As the names suggest, both rely on defining a version of relevance. Our formalisation of relevance in this context is based on the notion of a justification (a minimal subset of sentences implying a given...

  2. Reflective and Non-conscious Responses to Exercise Images

    Directory of Open Access Journals (Sweden)

    Kathryn Cope

    2018-01-01

    Full Text Available Images portraying exercise are commonly used to promote exercise behavior and to measure automatic associations of exercise (e.g., via implicit association tests. The effectiveness of these promotion efforts and the validity of measurement techniques partially rely on the untested assumption that the images being used are perceived by the general public as portrayals of exercise that is pleasant and motivating. The aim of this study was to investigate how content of images impacted people's automatic and reflective evaluations of exercise images. Participants (N = 90 completed a response time categorization task (similar to the implicit association test to capture how automatically people perceived each image as relevant to Exercise or Not exercise. Participants also self-reported their evaluations of the images using visual analog scales with the anchors: Exercise/Not exercise, Does not motivate me to exercise/Motivates me to exercise, Pleasant/Unpleasant, and Energizing/Deactivating. People tended to more strongly automatically associate images with exercise if the images were of an outdoor setting, presented sport (as opposed to active labor or gym-based activities, and included young (as opposed to middle-aged adults. People tended to reflectively find images of young adults more motivating and relevant to exercise than images of older adults. The content of exercise images is an often overlooked source of systematic variability that may impact measurement validity and intervention effectiveness.

  3. The value relevance of environmental emissions

    Directory of Open Access Journals (Sweden)

    Melinda Lydia Nelwan

    2016-07-01

    Full Text Available This study examines whether environmental performance has value relevance by investigating the relations between environmental emissions and stock prices for the U.S. public companies. The previous studies argued that the conjectured relations between accounting performance measures and environmental performance do not have a strong theoretical basis, and the modeling of relations between market per-formance measures and environmental performance do not adequately consider the relevance of accounting performance to market value. Therefore, this study examines whether publicly reported environmental emissions provide incremental information to accounting earnings in pricing companies stocks. It is done among the complete set of industries covered by Toxics Release Inventory (TRI reporting for the period 2007 to 2010. Using Ohlson model but modified to include different types of emis-sions, it is found that ground emissions (underground injection and land emissions are value relevant but other emission types (air and water and transferred-out emis-sions appear to not provide incremental information in the valuation model. The result in this study raise concerns that different types of emissions are assessed differently by the market, confirming that studies should not aggregate such measures.

  4. EOG feature relevance determination for microsleep detection

    Directory of Open Access Journals (Sweden)

    Golz Martin

    2017-09-01

    Full Text Available Automatic relevance determination (ARD was applied to two-channel EOG recordings for microsleep event (MSE recognition. 10 s immediately before MSE and also before counterexamples of fatigued, but attentive driving were analysed. Two type of signal features were extracted: the maximum cross correlation (MaxCC and logarithmic power spectral densities (PSD averaged in spectral bands of 0.5 Hz width ranging between 0 and 8 Hz. Generalised learn-ing vector quantisation (GRLVQ was used as ARD method to show the potential of feature reduction. This is compared to support-vector machines (SVM, in which the feature reduction plays a much smaller role. Cross validation yielded mean normalised relevancies of PSD features in the range of 1.6 – 4.9 % and 1.9 – 10.4 % for horizontal and vertical EOG, respectively. MaxCC relevancies were 0.002 – 0.006 % and 0.002 – 0.06 %, respectively. This shows that PSD features of vertical EOG are indispensable, whereas MaxCC can be neglected. Mean classification accuracies were estimated at 86.6±b 1.3 % and 92.3±b 0.2 % for GRLVQ and SVM, respectively. GRLVQ permits objective feature reduction by inclusion of all processing stages, but is not as accurate as SVM.

  5. EOG feature relevance determination for microsleep detection

    Directory of Open Access Journals (Sweden)

    Golz Martin

    2017-09-01

    Full Text Available Automatic relevance determination (ARD was applied to two-channel EOG recordings for microsleep event (MSE recognition. 10 s immediately before MSE and also before counterexamples of fatigued, but attentive driving were analysed. Two type of signal features were extracted: the maximum cross correlation (MaxCC and logarithmic power spectral densities (PSD averaged in spectral bands of 0.5 Hz width ranging between 0 and 8 Hz. Generalised learn-ing vector quantisation (GRLVQ was used as ARD method to show the potential of feature reduction. This is compared to support-vector machines (SVM, in which the feature reduction plays a much smaller role. Cross validation yielded mean normalised relevancies of PSD features in the range of 1.6 - 4.9 % and 1.9 - 10.4 % for horizontal and vertical EOG, respectively. MaxCC relevancies were 0.002 - 0.006 % and 0.002 - 0.06 %, respectively. This shows that PSD features of vertical EOG are indispensable, whereas MaxCC can be neglected. Mean classification accuracies were estimated at 86.6±b 1.3 % and 92.3±b 0.2 % for GRLVQ and SVM, respec-tively. GRLVQ permits objective feature reduction by inclu-sion of all processing stages, but is not as accurate as SVM.

  6. Valerian: No Evidence for Clinically Relevant Interactions

    Directory of Open Access Journals (Sweden)

    Olaf Kelber

    2014-01-01

    Full Text Available In recent popular publications as well as in widely used information websites directed to cancer patients, valerian is claimed to have a potential of adverse interactions with anticancer drugs. This questions its use as a safe replacement for, for example, benzodiazepines. A review on the interaction potential of preparations from valerian root (Valeriana officinalis L. root was therefore conducted. A data base search and search in a clinical drug interaction data base were conducted. Thereafter, a systematic assessment of publications was performed. Seven in vitro studies on six CYP 450 isoenzymes, on p-glycoprotein, and on two UGT isoenzymes were identified. However, the methodological assessment of these studies did not support their suitability for the prediction of clinically relevant interactions. In addition, clinical studies on various valerian preparations did not reveal any relevant interaction potential concerning CYP 1A2, 2D6, 2E1, and 3A4. Available animal and human pharmacodynamic studies did not verify any interaction potential. The interaction potential of valerian preparations therefore seems to be low and thereby without clinical relevance. We conclude that there is no specific evidence questioning their safety, also in cancer patients.

  7. A unified framework of image latent feature learning on Sina microblog

    Science.gov (United States)

    Wei, Jinjin; Jin, Zhigang; Zhou, Yuan; Zhang, Rui

    2015-10-01

    Large-scale user-contributed images with texts are rapidly increasing on the social media websites, such as Sina microblog. However, the noise and incomplete correspondence between the images and the texts give rise to the difficulty in precise image retrieval and ranking. In this paper, a hypergraph-based learning framework is proposed for image ranking, which simultaneously utilizes visual feature, textual content and social link information to estimate the relevance between images. Representing each image as a vertex in the hypergraph, complex relationship between images can be reflected exactly. Then updating the weight of hyperedges throughout the hypergraph learning process, the effect of different edges can be adaptively modulated in the constructed hypergraph. Furthermore, the popularity degree of the image is employed to re-rank the retrieval results. Comparative experiments on a large-scale Sina microblog data-set demonstrate the effectiveness of the proposed approach.

  8. Bengali text summarization by sentence extraction

    OpenAIRE

    Sarkar, Kamal

    2012-01-01

    Text summarization is a process to produce an abstract or a summary by selecting significant portion of the information from one or more texts. In an automatic text summarization process, a text is given to the computer and the computer returns a shorter less redundant extract or abstract of the original text(s). Many techniques have been developed for summarizing English text(s). But, a very few attempts have been made for Bengali text summarization. This paper presents a method for Bengali ...

  9. The Improved Relevance Voxel Machine

    DEFF Research Database (Denmark)

    Ganz, Melanie; Sabuncu, Mert; Van Leemput, Koen

    The concept of sparse Bayesian learning has received much attention in the machine learning literature as a means of achieving parsimonious representations of features used in regression and classification. It is an important family of algorithms for sparse signal recovery and compressed sensing....... Hence in its current form it is reminiscent of a greedy forward feature selection algorithm. In this report, we aim to solve the problems of the original RVoxM algorithm in the spirit of [7] (FastRVM).We call the new algorithm Improved Relevance Voxel Machine (IRVoxM). Our contributions...... and enables basis selection from overcomplete dictionaries. One of the trailblazers of Bayesian learning is MacKay who already worked on the topic in his PhD thesis in 1992 [1]. Later on Tipping and Bishop developed the concept of sparse Bayesian learning [2, 3] and Tipping published the Relevance Vector...

  10. An Improved Optimization Method for the Relevance Voxel Machine

    DEFF Research Database (Denmark)

    Ganz, Melanie; Sabuncu, M. R.; Van Leemput, Koen

    2013-01-01

    In this paper, we will re-visit the Relevance Voxel Machine (RVoxM), a recently developed sparse Bayesian framework used for predicting biological markers, e.g., presence of disease, from high-dimensional image data, e.g., brain MRI volumes. The proposed improvement, called IRVoxM, mitigates the ...

  11. Enhancing biomedical text summarization using semantic relation extraction.

    Directory of Open Access Journals (Sweden)

    Yue Shang

    Full Text Available Automatic text summarization for a biomedical concept can help researchers to get the key points of a certain topic from large amount of biomedical literature efficiently. In this paper, we present a method for generating text summary for a given biomedical concept, e.g., H1N1 disease, from multiple documents based on semantic relation extraction. Our approach includes three stages: 1 We extract semantic relations in each sentence using the semantic knowledge representation tool SemRep. 2 We develop a relation-level retrieval method to select the relations most relevant to each query concept and visualize them in a graphic representation. 3 For relations in the relevant set, we extract informative sentences that can interpret them from the document collection to generate text summary using an information retrieval based method. Our major focus in this work is to investigate the contribution of semantic relation extraction to the task of biomedical text summarization. The experimental results on summarization for a set of diseases show that the introduction of semantic knowledge improves the performance and our results are better than the MEAD system, a well-known tool for text summarization.

  12. Cerenkov imaging.

    Science.gov (United States)

    Das, Sudeep; Thorek, Daniel L J; Grimm, Jan

    2014-01-01

    Cerenkov luminescence (CL) has been used recently in a plethora of medical applications like imaging and therapy with clinically relevant medical isotopes. The range of medical isotopes used is fairly large and expanding. The generation of in vivo light is useful since it circumvents depth limitations for excitation light. Cerenkov luminescence imaging (CLI) is much cheaper in terms of infrastructure than positron emission tomography (PET) and is particularly useful for imaging of superficial structures. Imaging can basically be done using a sensitive camera optimized for low-light conditions, and it has a better resolution than any other nuclear imaging modality. CLI has been shown to effectively diagnose disease with regularly used PET isotope ((18)F-FDG) in clinical setting. Cerenkov luminescence tomography, Cerenkov luminescence endoscopy, and intraoperative Cerenkov imaging have also been explored with positive conclusions expanding the current range of applications. Cerenkov has also been used to improve PET imaging resolution since the source of both is the radioisotope being used. Smart imaging agents have been designed based on modulation of the Cerenkov signal using small molecules and nanoparticles giving better insight of the tumor biology. © 2014 Elsevier Inc. All rights reserved.

  13. Relevance of useful visual words in object retrieval

    Science.gov (United States)

    Qi, Siyuan; Luo, Yupin

    2013-07-01

    The most popular methods in object retrieval are almost based on bag-of-words(BOW) which is both effective and efficient. In this paper we present a method use the relations between words of the vocabulary to improve the retrieval performance based on the BOW framework. In basic BOW retrieval framework, only a few words of the vocabulary is useful for retrieval, which are spatial consistent in images. We introduce a method to useful select useful words and build a relevance between these words. We combine useful relevance with basic BOW framework and query expansion as well. The useful relevance is able to discover latent related words which is not exist in the query image, so that we can get a more accurate vector model for retrieval. Combined with query expansion method, the retrieval performance are better and fewer time cost.

  14. Semi-spontaneous oral text production: measurements in clinical practice.

    Science.gov (United States)

    Lind, Marianne; Kristoffersen, Kristian Emil; Moen, Inger; Simonsen, Hanne Gram

    2009-12-01

    Functionally relevant assessment of the language production of speakers with aphasia should include assessment of connected speech production. Despite the ecological validity of everyday conversations, more controlled and monological types of texts may be easier to obtain and analyse in clinical practice. This article discusses some simple measurements for the analysis of semi-spontaneous oral text production by speakers with aphasia. Specifically, the measurements are related to the production of verbs and nouns, and the realization of different sentence types. The proposed measurements should be clinically relevant, easily applicable, and linguistically meaningful. The measurements have been applied to oral descriptions of the 'Cookie Theft' picture by eight monolingual Norwegian speakers, four with an anomic type of aphasia and four without any type of language impairment. Despite individual differences in both the clinical and the non-clinical group, most of the measurements seem to distinguish between speakers with and without aphasia.

  15. Text Analysis: Critical Component of Planning for Text-Based Discussion Focused on Comprehension of Informational Texts

    Science.gov (United States)

    Kucan, Linda; Palincsar, Annemarie Sullivan

    2018-01-01

    This investigation focuses on a tool used in a reading methods course to introduce reading specialist candidates to text analysis as a critical component of planning for text-based discussions. Unlike planning that focuses mainly on important text content or information, a text analysis approach focuses both on content and how that content is…

  16. SIAM 2007 Text Mining Competition dataset

    Data.gov (United States)

    National Aeronautics and Space Administration — Subject Area: Text Mining Description: This is the dataset used for the SIAM 2007 Text Mining competition. This competition focused on developing text mining...

  17. REVIEW OF MATHEMATICAL METHODS AND ALGORITHMS OF MEDICAL IMAGE PROCESSING ON THE EXAMPLE OF TECHNOLOGY OF MEDICAL IMAGE PROCESSING FROM WOLFRAM MATHEMATICS

    Directory of Open Access Journals (Sweden)

    O. Ye. Prokopchenko

    2015-10-01

    Full Text Available The article analyzes the basic methods and algorithms of mathematical processing of medical images as objects of computer mathematics. The presented methods and computer algorithms of mathematics relevant and may find application in the field of medical imaging - automated processing of images; as a tool for measurement and determination the optical parameters; identification and formation of medical images database. Methods and computer algorithms presented in the article and based on Wolfram Mathematica are also relevant to the problem of modern medical education. As an example of Wolfram Mathematics may be considered appropriate demonstration, such as recognition of special radiographs and morphological imaging. These methods are used to improve  the diagnostic significance and value of medical (clinical research and can serve as an educational interactive demonstration. Implementation submitted individual methods and algorithms of computer Wolfram Mathematics contributes, in general, the optimization process of practical processing and presentation of medical images.

  18. REVIEW OF MATHEMATICAL METHODS AND ALGORITHMS OF MEDICAL IMAGE PROCESSING ON THE EXAMPLE OF TECHNOLOGY OF MEDICAL IMAGE PROCESSING FROM WOLFRAM MATHEMATICA

    Directory of Open Access Journals (Sweden)

    О. E. Prokopchenko

    2015-09-01

    Full Text Available The article analyzes the basic methods and algorithms of mathematical processing of medical images as objects of computer mathematics. The presented methods and computer algorithms of mathematics relevant and may find application in the field of medical imaging - automated processing of images; as a tool for measurement and determination the optical parameters; identification and formation of medical images database. Methods and computer algorithms presented in the article & based on Wolfram Mathematica are also relevant to the problem of modern medical education. As an example of Wolfram Mathematica may be considered appropriate demonstration, such as recognition of special radiographs and morphological imaging. These methods are used to improve the diagnostic significance and value of medical (clinical research and can serve as an educational interactive demonstration. Implementation submitted individual methods and algorithms of computer Wolfram Mathematics contributes, in general, the optimization process of practical processing and presentation of medical images.

  19. Measurement of [Formula: see text] polarisation in [Formula: see text] collisions at [Formula: see text] = 7 TeV.

    Science.gov (United States)

    Aaij, R; Adeva, B; Adinolfi, M; Affolder, A; Ajaltouni, Z; Albrecht, J; Alessio, F; Alexander, M; Ali, S; Alkhazov, G; Alvarez Cartelle, P; Alves, A A; Amato, S; Amerio, S; Amhis, Y; An, L; Anderlini, L; Anderson, J; Andreassen, R; Andreotti, M; Andrews, J E; Appleby, R B; Aquines Gutierrez, O; Archilli, F; Artamonov, A; Artuso, M; Aslanides, E; Auriemma, G; Baalouch, M; Bachmann, S; Back, J J; Badalov, A; Balagura, V; Baldini, W; Barlow, R J; Barschel, C; Barsuk, S; Barter, W; Batozskaya, V; Bauer, Th; Bay, A; Beddow, J; Bedeschi, F; Bediaga, I; Belogurov, S; Belous, K; Belyaev, I; Ben-Haim, E; Bencivenni, G; Benson, S; Benton, J; Berezhnoy, A; Bernet, R; Bettler, M-O; van Beuzekom, M; Bien, A; Bifani, S; Bird, T; Bizzeti, A; Bjørnstad, P M; Blake, T; Blanc, F; Blouw, J; Blusk, S; Bocci, V; Bondar, A; Bondar, N; Bonivento, W; Borghi, S; Borgia, A; Borsato, M; Bowcock, T J V; Bowen, E; Bozzi, C; Brambach, T; van den Brand, J; Bressieux, J; Brett, D; Britsch, M; Britton, T; Brook, N H; Brown, H; Bursche, A; Busetto, G; Buytaert, J; Cadeddu, S; Calabrese, R; Callot, O; Calvi, M; Calvo Gomez, M; Camboni, A; Campana, P; Campora Perez, D; Carbone, A; Carboni, G; Cardinale, R; Cardini, A; Carranza-Mejia, H; Carson, L; Carvalho Akiba, K; Casse, G; Cassina, L; Castillo Garcia, L; Cattaneo, M; Cauet, Ch; Cenci, R; Charles, M; Charpentier, Ph; Cheung, S-F; Chiapolini, N; Chrzaszcz, M; Ciba, K; Cid Vidal, X; Ciezarek, G; Clarke, P E L; Clemencic, M; Cliff, H V; Closier, J; Coca, C; Coco, V; Cogan, J; Cogneras, E; Collins, P; Comerma-Montells, A; Contu, A; Cook, A; Coombes, M; Coquereau, S; Corti, G; Corvo, M; Counts, I; Couturier, B; Cowan, G A; Craik, D C; Cruz Torres, M; Cunliffe, S; Currie, R; D'Ambrosio, C; Dalseno, J; David, P; David, P N Y; Davis, A; De Bruyn, K; De Capua, S; De Cian, M; De Miranda, J M; De Paula, L; De Silva, W; De Simone, P; Decamp, D; Deckenhoff, M; Del Buono, L; Déléage, N; Derkach, D; Deschamps, O; Dettori, F; Di Canto, A; Dijkstra, H; Donleavy, S; Dordei, F; Dorigo, M; Dosil Suárez, A; Dossett, D; Dovbnya, A; Dupertuis, F; Durante, P; Dzhelyadin, R; Dziurda, A; Dzyuba, A; Easo, S; Egede, U; Egorychev, V; Eidelman, S; Eisenhardt, S; Eitschberger, U; Ekelhof, R; Eklund, L; El Rifai, I; Elsasser, Ch; Esen, S; Evans, T; Falabella, A; Färber, C; Farinelli, C; Farry, S; Ferguson, D; Fernandez Albor, V; Ferreira Rodrigues, F; Ferro-Luzzi, M; Filippov, S; Fiore, M; Fiorini, M; Firlej, M; Fitzpatrick, C; Fiutowski, T; Fontana, M; Fontanelli, F; Forty, R; Francisco, O; Frank, M; Frei, C; Frosini, M; Fu, J; Furfaro, E; Gallas Torreira, A; Galli, D; Gandelman, M; Gandini, P; Gao, Y; Garofoli, J; Garra Tico, J; Garrido, L; Gaspar, C; Gauld, R; Gavardi, L; Gersabeck, E; Gersabeck, M; Gershon, T; Ghez, Ph; Gianelle, A; Giani, S; Gibson, V; Giubega, L; Gligorov, V V; Göbel, C; Golubkov, D; Golutvin, A; Gomes, A; Gordon, H; Gotti, C; Grabalosa Gándara, M; Graciani Diaz, R; Granado Cardoso, L A; Graugés, E; Graziani, G; Grecu, A; Greening, E; Gregson, S; Griffith, P; Grillo, L; Grünberg, O; Gui, B; Gushchin, E; Guz, Yu; Gys, T; Hadjivasiliou, C; Haefeli, G; Haen, C; Haines, S C; Hall, S; Hamilton, B; Hampson, T; Han, X; Hansmann-Menzemer, S; Harnew, N; Harnew, S T; Harrison, J; Hartmann, T; He, J; Head, T; Heijne, V; Hennessy, K; Henrard, P; Henry, L; Hernando Morata, J A; van Herwijnen, E; Heß, M; Hicheur, A; Hill, D; Hoballah, M; Hombach, C; Hulsbergen, W; Hunt, P; Hussain, N; Hutchcroft, D; Hynds, D; Iakovenko, V; Idzik, M; Ilten, P; Jacobsson, R; Jaeger, A; Jalocha, J; Jans, E; Jaton, P; Jawahery, A; Jezabek, M; Jing, F; John, M; Johnson, D; Jones, C R; Joram, C; Jost, B; Jurik, N; Kaballo, M; Kandybei, S; Kanso, W; Karacson, M; Karbach, T M; Kelsey, M; Kenyon, I R; Ketel, T; Khanji, B; Khurewathanakul, C; Klaver, S; Kochebina, O; Kolpin, M; Komarov, I; Koopman, R F; Koppenburg, P; Korolev, M; Kozlinskiy, A; Kravchuk, L; Kreplin, K; Kreps, M; Krocker, G; Krokovny, P; Kruse, F; Kucharczyk, M; Kudryavtsev, V; Kurek, K; Kvaratskheliya, T; La Thi, V N; Lacarrere, D; Lafferty, G; Lai, A; Lambert, D; Lambert, R W; Lanciotti, E; Lanfranchi, G; Langenbruch, C; Latham, T; Lazzeroni, C; Le Gac, R; van Leerdam, J; Lees, J-P; Lefèvre, R; Leflat, A; Lefrançois, J; Leo, S; Leroy, O; Lesiak, T; Leverington, B; Li, Y; Liles, M; Lindner, R; Linn, C; Lionetto, F; Liu, B; Liu, G; Lohn, S; Longstaff, I; Longstaff, I; Lopes, J H; Lopez-March, N; Lowdon, P; Lu, H; Lucchesi, D; Luisier, J; Luo, H; Lupato, A; Luppi, E; Lupton, O; Machefert, F; Machikhiliyan, I V; Maciuc, F; Maev, O; Malde, S; Manca, G; Mancinelli, G; Manzali, M; Maratas, J; Marchand, J F; Marconi, U; Marino, P; Märki, R; Marks, J; Martellotti, G; Martens, A; Martín Sánchez, A; Martinelli, M; Martinez Santos, D; Martinez Vidal, F; Martins Tostes, D; Massafferri, A; Matev, R; Mathe, Z; Matteuzzi, C; Mazurov, A; McCann, M; McCarthy, J; McNab, A; McNulty, R; McSkelly, B; Meadows, B; Meier, F; Meissner, M; Merk, M; Milanes, D A; Minard, M-N; Molina Rodriguez, J; Monteil, S; Moran, D; Morandin, M; Morawski, P; Mordà, A; Morello, M J; Moron, J; Mountain, R; Muheim, F; Müller, K; Muresan, R; Muster, B; Naik, P; Nakada, T; Nandakumar, R; Nasteva, I; Needham, M; Neri, N; Neubert, S; Neufeld, N; Neuner, M; Nguyen, A D; Nguyen, T D; Nguyen-Mau, C; Nicol, M; Niess, V; Niet, R; Nikitin, N; Nikodem, T; Novoselov, A; Oblakowska-Mucha, A; Obraztsov, V; Oggero, S; Ogilvy, S; Okhrimenko, O; Oldeman, R; Onderwater, G; Orlandea, M; Otalora Goicochea, J M; Owen, P; Oyanguren, A; Pal, B K; Palano, A; Palombo, F; Palutan, M; Panman, J; Papanestis, A; Pappagallo, M; Parkes, C; Parkinson, C J; Passaleva, G; Patel, G D; Patel, M; Patrignani, C; Pazos Alvarez, A; Pearce, A; Pellegrino, A; Penso, G; Pepe Altarelli, M; Perazzini, S; Perez Trigo, E; Perret, P; Perrin-Terrin, M; Pescatore, L; Pesen, E; Petridis, K; Petrolini, A; Picatoste Olloqui, E; Pietrzyk, B; Pilař, T; Pinci, D; Pistone, A; Playfer, S; Plo Casasus, M; Polci, F; Polok, G; Poluektov, A; Polycarpo, E; Popov, A; Popov, D; Popovici, B; Potterat, C; Powell, A; Prisciandaro, J; Pritchard, A; Prouve, C; Pugatch, V; Puig Navarro, A; Punzi, G; Qian, W; Rachwal, B; Rademacker, J H; Rakotomiaramanana, B; Rama, M; Rangel, M S; Raniuk, I; Rauschmayr, N; Raven, G; Redford, S; Reichert, S; Reid, M M; Dos Reis, A C; Ricciardi, S; Richards, A; Rinnert, K; Rives Molina, V; Roa Romero, D A; Robbe, P; Rodrigues, A B; Rodrigues, E; Rodriguez Perez, P; Roiser, S; Romanovsky, V; Romero Vidal, A; Rotondo, M; Rouvinet, J; Ruf, T; Ruffini, F; Ruiz, H; Ruiz Valls, P; Sabatino, G; Saborido Silva, J J; Sagidova, N; Sail, P; Saitta, B; Salustino Guimaraes, V; Sanchez Mayordomo, C; Sanmartin Sedes, B; Santacesaria, R; Santamarina Rios, C; Santovetti, E; Sapunov, M; Sarti, A; Satriano, C; Satta, A; Savrie, M; Savrina, D; Schiller, M; Schindler, H; Schlupp, M; Schmelling, M; Schmidt, B; Schneider, O; Schopper, A; Schune, M-H; Schwemmer, R; Sciascia, B; Sciubba, A; Seco, M; Semennikov, A; Senderowska, K; Sepp, I; Serra, N; Serrano, J; Sestini, L; Seyfert, P; Shapkin, M; Shapoval, I; Shcheglov, Y; Shears, T; Shekhtman, L; Shevchenko, V; Shires, A; Silva Coutinho, R; Simi, G; Sirendi, M; Skidmore, N; Skwarnicki, T; Smith, N A; Smith, E; Smith, E; Smith, J; Smith, M; Snoek, H; Sokoloff, M D; Soler, F J P; Soomro, F; Souza, D; Souza De Paula, B; Spaan, B; Sparkes, A; Spinella, F; Spradlin, P; Stagni, F; Stahl, S; Steinkamp, O; Stenyakin, O; Stevenson, S; Stoica, S; Stone, S; Storaci, B; Stracka, S; Straticiuc, M; Straumann, U; Stroili, R; Subbiah, V K; Sun, L; Sutcliffe, W; Swientek, K; Swientek, S; Syropoulos, V; Szczekowski, M; Szczypka, P; Szilard, D; Szumlak, T; T'Jampens, S; Teklishyn, M; Tellarini, G; Teodorescu, E; Teubert, F; Thomas, C; Thomas, E; van Tilburg, J; Tisserand, V; Tobin, M; Tolk, S; Tomassetti, L; Tonelli, D; Topp-Joergensen, S; Torr, N; Tournefier, E; Tourneur, S; Tran, M T; Tresch, M; Tsaregorodtsev, A; Tsopelas, P; Tuning, N; Ubeda Garcia, M; Ukleja, A; Ustyuzhanin, A; Uwer, U; Vagnoni, V; Valenti, G; Vallier, A; Vazquez Gomez, R; Vazquez Regueiro, P; Vázquez Sierra, C; Vecchi, S; Velthuis, J J; Veltri, M; Veneziano, G; Vesterinen, M; Viaud, B; Vieira, D; Vieites Diaz, M; Vilasis-Cardona, X; Vollhardt, A; Volyanskyy, D; Voong, D; Vorobyev, A; Vorobyev, V; Voß, C; Voss, H; de Vries, J A; Waldi, R; Wallace, C; Wallace, R; Walsh, J; Wandernoth, S; Wang, J; Ward, D R; Watson, N K; Webber, A D; Websdale, D; Whitehead, M; Wicht, J; Wiedner, D; Wiggers, L; Wilkinson, G; Williams, M P; Williams, M; Wilson, F F; Wimberley, J; Wishahi, J; Wislicki, W; Witek, M; Wormser, G; Wotton, S A; Wright, S; Wu, S; Wyllie, K; Xie, Y; Xing, Z; Xu, Z; Yang, Z; Yuan, X; Yushchenko, O; Zangoli, M; Zavertyaev, M; Zhang, F; Zhang, L; Zhang, W C; Zhang, Y; Zhelezov, A; Zhokhov, A; Zhong, L; Zvyagin, A

    The polarisation of prompt [Formula: see text] mesons is measured by performing an angular analysis of [Formula: see text] decays using proton-proton collision data, corresponding to an integrated luminosity of 1.0[Formula: see text], collected by the LHCb detector at a centre-of-mass energy of 7 TeV. The polarisation is measured in bins of transverse momentum [Formula: see text] and rapidity [Formula: see text] in the kinematic region [Formula: see text] and [Formula: see text], and is compared to theoretical models. No significant polarisation is observed.

  20. Mobile-based text recognition from water quality devices

    Science.gov (United States)

    Dhakal, Shanti; Rahnemoonfar, Maryam

    2015-03-01

    Measuring water quality of bays, estuaries, and gulfs is a complicated and time-consuming process. YSI Sonde is an instrument used to measure water quality parameters such as pH, temperature, salinity, and dissolved oxygen. This instrument is taken to water bodies in a boat trip and researchers note down different parameters displayed by the instrument's display monitor. In this project, a mobile application is developed for Android platform that allows a user to take a picture of the YSI Sonde monitor, extract text from the image and store it in a file on the phone. The image captured by the application is first processed to remove perspective distortion. Probabilistic Hough line transform is used to identify lines in the image and the corner of the image is then obtained by determining the intersection of the detected horizontal and vertical lines. The image is warped using the perspective transformation matrix, obtained from the corner points of the source image and the destination image, hence, removing the perspective distortion. Mathematical morphology operation, black-hat is used to correct the shading of the image. The image is binarized using Otsu's binarization technique and is then passed to the Optical Character Recognition (OCR) software for character recognition. The extracted information is stored in a file on the phone and can be retrieved later for analysis. The algorithm was tested on 60 different images of YSI Sonde with different perspective features and shading. Experimental results, in comparison to ground-truth results, demonstrate the effectiveness of the proposed method.

  1. A Facilitation of Dyslexia through a Remediation of Shakespeare's Text

    Science.gov (United States)

    Whitfield, Petronilla

    2016-01-01

    This article shares the author's research focusing on the facilitation of acting students with dyslexia in actor-training. For some individuals with dyslexia the translation of the written text into image-based symbols using technological modalities can play a crucial role to access and make concrete the meaning of the words; in this case…

  2. Enhancing L2 Reading Comprehension with Hypermedia Texts: Student Perceptions

    Science.gov (United States)

    Garrett-Rucks, Paula; Howles, Les; Lake, William M.

    2015-01-01

    This study extends current research about L2 hypermedia texts by investigating the combined use of audiovisual features including: (a) Contextualized images, (b) rollover translations, (c) cultural information, (d) audio explanations and (e) comprehension check exercises. Specifically, student perceptions of hypermedia readings compared to…

  3. Cleaning OCR'd text with Regular Expressions

    Directory of Open Access Journals (Sweden)

    Laura Turner O'Hara

    2013-05-01

    Full Text Available Optical Character Recognition (OCR—the conversion of scanned images to machine-encoded text—has proven a godsend for historical research. This process allows texts to be searchable on one hand and more easily parsed and mined on the other. But we’ve all noticed that the OCR for historic texts is far from perfect. Old type faces and formats make for unique OCR. How might we improve poor quality OCR? The answer is Regular Expressions or “regex.”

  4. Examining Text Complexity in the Early Grades

    Science.gov (United States)

    Fitzgerald, Jill; Elmore, Jeff; Hiebert, Elfrieda H.; Koons, Heather H.; Bowen, Kimberly; Sanford-Moore, Eleanor E.; Stenner, A. Jackson

    2016-01-01

    The Common Core raises the stature of texts to new heights, creating a hubbub. The fuss is especially messy at the early grades, where children are expected to read more complex texts than in the past. But early-grades teachers have been given little actionable guidance about text complexity. The authors recently examined early-grades texts to…

  5. Enhancing biomedical text summarization using semantic relation extraction.

    Science.gov (United States)

    Shang, Yue; Li, Yanpeng; Lin, Hongfei; Yang, Zhihao

    2011-01-01

    Automatic text summarization for a biomedical concept can help researchers to get the key points of a certain topic from large amount of biomedical literature efficiently. In this paper, we present a method for generating text summary for a given biomedical concept, e.g., H1N1 disease, from multiple documents based on semantic relation extraction. Our approach includes three stages: 1) We extract semantic relations in each sentence using the semantic knowledge representation tool SemRep. 2) We develop a relation-level retrieval method to select the relations most relevant to each query concept and visualize them in a graphic representation. 3) For relations in the relevant set, we extract informative sentences that can interpret them from the document collection to generate text summary using an information retrieval based method. Our major focus in this work is to investigate the contribution of semantic relation extraction to the task of biomedical text summarization. The experimental results on summarization for a set of diseases show that the introduction of semantic knowledge improves the performance and our results are better than the MEAD system, a well-known tool for text summarization.

  6. Texte, intertexte et iconotexte dans le message publicitaire

    Directory of Open Access Journals (Sweden)

    I. C. CORJAN

    2007-12-01

    Full Text Available The paper states the fact that although the roles of the text and of the image in an advertisement are dynamic and appear in variable proportions depending on numerous criteria, they are also beautifully balanced, especially if compared from a functional point of view, determining and depending upon each other in a coherent discursive unity. Between text and image there are usually the following relations of reciprocity: support (argumentation, redundancy, paraphrase; complementarity (in-formation that is autonomous in form, but convergent in content; rhetorical amplification (meaning transfer, metaphorisation, hyperbolisation etc.; opposition (antithesis, exaggeration, non-antagonistic contradiction etc.. In general, both the verbal and the iconic develop, much to their mutual advantage, an extra meaning which the former establishes linguistically, and the latter exaggerates visually. In this case, however, the image always goes beyond the verbal information, thanks to its deep-rooted polysemy. Thus, in the special case of printed advertising, there are a few prevalent icono-textual structures, with obvious intertextual and paratextual functions: intertextuality of the writ-ten text; figurative iconic intertextuality; icono-textual intertextuality; double intertextuality: verbal-written and icono-textual. The end of the study puts forward a new formulation of the icono-text and of the typology of printed advertising included in written media and indoor/ outdoor posting.

  7. Arabic Text Categorization Using Improved k-Nearest neighbour Algorithm

    Directory of Open Access Journals (Sweden)

    Wail Hamood KHALED

    2014-10-01

    Full Text Available The quantity of text information published in Arabic language on the net requires the implementation of effective techniques for the extraction and classifying of relevant information contained in large corpus of texts. In this paper we presented an implementation of an enhanced k-NN Arabic text classifier. We apply the traditional k-NN and Naive Bayes from Weka Toolkit for comparison purpose. Our proposed modified k-NN algorithm features an improved decision rule to skip the classes that are less similar and identify the right class from k nearest neighbours which increases the accuracy. The study evaluates the improved decision rule technique using the standard of recall, precision and f-measure as the basis of comparison. We concluded that the effectiveness of the proposed classifier is promising and outperforms the classical k-NN classifier.

  8. Mining biological networks from full-text articles.

    Science.gov (United States)

    Czarnecki, Jan; Shepherd, Adrian J

    2014-01-01

    The study of biological networks is playing an increasingly important role in the life sciences. Many different kinds of biological system can be modelled as networks; perhaps the most important examples are protein-protein interaction (PPI) networks, metabolic pathways, gene regulatory networks, and signalling networks. Although much useful information is easily accessible in publicly databases, a lot of extra relevant data lies scattered in numerous published papers. Hence there is a pressing need for automated text-mining methods capable of extracting such information from full-text articles. Here we present practical guidelines for constructing a text-mining pipeline from existing code and software components capable of extracting PPI networks from full-text articles. This approach can be adapted to tackle other types of biological network.

  9. SAW Classification Algorithm for Chinese Text Classification

    OpenAIRE

    Xiaoli Guo; Huiyu Sun; Tiehua Zhou; Ling Wang; Zhaoyang Qu; Jiannan Zang

    2015-01-01

    Considering the explosive growth of data, the increased amount of text data’s effect on the performance of text categorization forward the need for higher requirements, such that the existing classification method cannot be satisfied. Based on the study of existing text classification technology and semantics, this paper puts forward a kind of Chinese text classification oriented SAW (Structural Auxiliary Word) algorithm. The algorithm uses the special space effect of Chinese text where words...

  10. The LAILAPS Search Engine: Relevance Ranking in Life Science Databases

    Directory of Open Access Journals (Sweden)

    Lange Matthias

    2010-06-01

    Full Text Available Search engines and retrieval systems are popular tools at a life science desktop. The manual inspection of hundreds of database entries, that reflect a life science concept or fact, is a time intensive daily work. Hereby, not the number of query results matters, but the relevance does. In this paper, we present the LAILAPS search engine for life science databases. The concept is to combine a novel feature model for relevance ranking, a machine learning approach to model user relevance profiles, ranking improvement by user feedback tracking and an intuitive and slim web user interface, that estimates relevance rank by tracking user interactions. Queries are formulated as simple keyword lists and will be expanded by synonyms. Supporting a flexible text index and a simple data import format, LAILAPS can easily be used both as search engine for comprehensive integrated life science databases and for small in-house project databases.

  11. Is searching full text more effective than searching abstracts?

    Directory of Open Access Journals (Sweden)

    Lin Jimmy

    2009-02-01

    Full Text Available Abstract Background With the growing availability of full-text articles online, scientists and other consumers of the life sciences literature now have the ability to go beyond searching bibliographic records (title, abstract, metadata to directly access full-text content. Motivated by this emerging trend, I posed the following question: is searching full text more effective than searching abstracts? This question is answered by comparing text retrieval algorithms on MEDLINE® abstracts, full-text articles, and spans (paragraphs within full-text articles using data from the TREC 2007 genomics track evaluation. Two retrieval models are examined: bm25 and the ranking algorithm implemented in the open-source Lucene search engine. Results Experiments show that treating an entire article as an indexing unit does not consistently yield higher effectiveness compared to abstract-only search. However, retrieval based on spans, or paragraphs-sized segments of full-text articles, consistently outperforms abstract-only search. Results suggest that highest overall effectiveness may be achieved by combining evidence from spans and full articles. Conclusion Users searching full text are more likely to find relevant articles than searching only abstracts. This finding affirms the value of full text collections for text retrieval and provides a starting point for future work in exploring algorithms that take advantage of rapidly-growing digital archives. Experimental results also highlight the need to develop distributed text retrieval algorithms, since full-text articles are significantly longer than abstracts and may require the computational resources of multiple machines in a cluster. The MapReduce programming model provides a convenient framework for organizing such computations.

  12. Extractive text summarization system to aid data extraction from full text in systematic review development.

    Science.gov (United States)

    Bui, Duy Duc An; Del Fiol, Guilherme; Hurdle, John F; Jonnalagadda, Siddhartha

    2016-12-01

    Extracting data from publication reports is a standard process in systematic review (SR) development. However, the data extraction process still relies too much on manual effort which is slow, costly, and subject to human error. In this study, we developed a text summarization system aimed at enhancing productivity and reducing errors in the traditional data extraction process. We developed a computer system that used machine learning and natural language processing approaches to automatically generate summaries of full-text scientific publications. The summaries at the sentence and fragment levels were evaluated in finding common clinical SR data elements such as sample size, group size, and PICO values. We compared the computer-generated summaries with human written summaries (title and abstract) in terms of the presence of necessary information for the data extraction as presented in the Cochrane review's study characteristics tables. At the sentence level, the computer-generated summaries covered more information than humans do for systematic reviews (recall 91.2% vs. 83.8%, p<0.001). They also had a better density of relevant sentences (precision 59% vs. 39%, p<0.001). At the fragment level, the ensemble approach combining rule-based, concept mapping, and dictionary-based methods performed better than individual methods alone, achieving an 84.7% F-measure. Computer-generated summaries are potential alternative information sources for data extraction in systematic review development. Machine learning and natural language processing are promising approaches to the development of such an extractive summarization system. Copyright © 2016 Elsevier Inc. All rights reserved.

  13. Arabic text preprocessing for the natural language processing applications

    International Nuclear Information System (INIS)

    Awajan, A.

    2007-01-01

    A new approach for processing vowelized and unvowelized Arabic texts in order to prepare them for Natural Language Processing (NLP) purposes is described. The developed approach is rule-based and made up of four phases: text tokenization, word light stemming, word's morphological analysis and text annotation. The first phase preprocesses the input text in order to isolate the words and represent them in a formal way. The second phase applies a light stemmer in order to extract the stem of each word by eliminating the prefixes and suffixes. The third phase is a rule-based morphological analyzer that determines the root and the morphological pattern for each extracted stem. The last phase produces an annotated text where each word is tagged with its morphological attributes. The preprocessor presented in this paper is capable of dealing with vowelized and unvowelized words, and provides the input words along with relevant linguistics information needed by different applications. It is designed to be used with different NLP applications such as machine translation text summarization, text correction, information retrieval and automatic vowelization of Arabic Text. (author)

  14. Extracting Conceptual Feature Structures from Text

    DEFF Research Database (Denmark)

    Andreasen, Troels; Bulskov, Henrik; Lassen, Tine

    2011-01-01

    and mapped into concepts in a generative ontology. Synonymous but linguistically quite distinct expressions are mapped to the same concept in the ontology. This allows us to perform a content-based search which will retrieve relevant documents independently of the linguistic form of the query as well...

  15. Is searching full text more effective than searching abstracts?

    Science.gov (United States)

    Lin, Jimmy

    2009-02-03

    With the growing availability of full-text articles online, scientists and other consumers of the life sciences literature now have the ability to go beyond searching bibliographic records (title, abstract, metadata) to directly access full-text content. Motivated by this emerging trend, I posed the following question: is searching full text more effective than searching abstracts? This question is answered by comparing text retrieval algorithms on MEDLINE abstracts, full-text articles, and spans (paragraphs) within full-text articles using data from the TREC 2007 genomics track evaluation. Two retrieval models are examined: bm25 and the ranking algorithm implemented in the open-source Lucene search engine. Experiments show that treating an entire article as an indexing unit does not consistently yield higher effectiveness compared to abstract-only search. However, retrieval based on spans, or paragraphs-sized segments of full-text articles, consistently outperforms abstract-only search. Results suggest that highest overall effectiveness may be achieved by combining evidence from spans and full articles. Users searching full text are more likely to find relevant articles than searching only abstracts. This finding affirms the value of full text collections for text retrieval and provides a starting point for future work in exploring algorithms that take advantage of rapidly-growing digital archives. Experimental results also highlight the need to develop distributed text retrieval algorithms, since full-text articles are significantly longer than abstracts and may require the computational resources of multiple machines in a cluster. The MapReduce programming model provides a convenient framework for organizing such computations.

  16. Partition of Ni between olivine and sulfide: the effect of temperature, f_{{text{O}}_{text{2}} } and f_{{text{S}}_{text{2}} }

    Science.gov (United States)

    Fleet, M. E.; Macrae, N. D.

    1987-03-01

    The experimental distribution coefficient for Ni/ Fe exchange between olivine and monosulfide (KD3) is 35.6±1.1 at 1385° C, f_{{text{O}}_{text{2}} } = 10^{ - 8.87} ,f_{{text{S}}_{text{2}} } = 10^{ - 1.02} , and olivine of composition Fo96 to Fo92. These are the physicochemical conditions appropriate to hypothesized sulfur-saturated komatiite magma. The present experiments equilibrated natural olivine grains with sulfide-oxide liquid in the presence of a (Mg, Fe)-alumino-silicate melt. By a variety of different experimental procedures, K D3 is shown to be essentially constant at about 30 to 35 in the temperature range 900 to 1400° C, for olivine of composition Fo97 to FoO, monosulfide composition with up to 70 mol. % NiS, and a wide range of f_{{text{O}}_{text{2}} } and f_{{text{S}}_{text{2}} }.

  17. Arabic text classification using Polynomial Networks

    Directory of Open Access Journals (Sweden)

    Mayy M. Al-Tahrawi

    2015-10-01

    Full Text Available In this paper, an Arabic statistical learning-based text classification system has been developed using Polynomial Neural Networks. Polynomial Networks have been recently applied to English text classification, but they were never used for Arabic text classification. In this research, we investigate the performance of Polynomial Networks in classifying Arabic texts. Experiments are conducted on a widely used Arabic dataset in text classification: Al-Jazeera News dataset. We chose this dataset to enable direct comparisons of the performance of Polynomial Networks classifier versus other well-known classifiers on this dataset in the literature of Arabic text classification. Results of experiments show that Polynomial Networks classifier is a competitive algorithm to the state-of-the-art ones in the field of Arabic text classification.

  18. Other relevant numerical modelling papers

    International Nuclear Information System (INIS)

    Chartier, M.

    1989-01-01

    The ocean modelling is a rapidly evolving science and a large number of results have been published. Several categories of papers are of particular interest for this review: the papers published by the international atomic institutions, such as the NEA (for the CRESP or Subseabed Programs), the IAEA (for example the Safety Series, the Technical Report Series or the TECDOC), and the ICRP, and the papers concerned by more fundamental research, which are published in specific scientific literature. This paper aims to list some of the most relevant publications for the CRESP purposes. It means by no way to be exhaustive, but informative on the incontestable progress recently achieved in that field. One should note that some of these papers are so recent that their final version has not yet been published

  19. Industrial relevance of thermophilic Archaea.

    Science.gov (United States)

    Egorova, Ksenia; Antranikian, Garabed

    2005-12-01

    The dramatic increase of newly isolated extremophilic microorganisms, analysis of their genomes and investigations of their enzymes by academic and industrial laboratories demonstrate the great potential of extremophiles in industrial (white) biotechnology. Enzymes derived from extremophiles (extremozymes) are superior to the traditional catalysts because they can perform industrial processes even under harsh conditions, under which conventional proteins are completely denatured. In particular, enzymes from thermophilic and hyperthermophilic Archaea have industrial relevance. Despite intensive investigations, our knowledge of the structure-function relationships of their enzymes is still limited. Information concerning the molecular properties of their enzymes and genes has to be obtained to be able to understand the mechanisms that are responsible for catalytic activity and stability at the boiling point of water.

  20. Multimodal Diversity of Postmodernist Fiction Text

    Directory of Open Access Journals (Sweden)

    U. I. Tykha

    2016-12-01

    Full Text Available The article is devoted to the analysis of structural and functional manifestations of multimodal diversity in postmodernist fiction texts. Multimodality is defined as the coexistence of more than one semiotic mode within a certain context. Multimodal texts feature a diversity of semiotic modes in the communication and development of their narrative. Such experimental texts subvert conventional patterns by introducing various semiotic resources – verbal or non-verbal.

  1. New method for identifying features of an image on a digital video display

    Science.gov (United States)

    Doyle, Michael D.

    1991-04-01

    The MetaMap process extends the concept of direct manipulation human-computer interfaces to new limits. Its specific capabilities include the correlation of discrete image elements to relevant text information and the correlation of these image features to other images as well as to program control mechanisms. The correlation is accomplished through reprogramming of both the color map and the image so that discrete image elements comprise unique sets of color indices. This process allows the correlation to be accomplished with very efficient data storage and program execution times. Image databases adapted to this process become object-oriented as a result. Very sophisticated interrelationships can be set up between images text and program control mechanisms using this process. An application of this interfacing process to the design of an interactive atlas of medical histology as well as other possible applications are described. The MetaMap process is protected by U. S. patent #4

  2. A Learning State-Space Model for Image Retrieval

    Directory of Open Access Journals (Sweden)

    Lee Greg C

    2007-01-01

    Full Text Available This paper proposes an approach based on a state-space model for learning the user concepts in image retrieval. We first design a scheme of region-based image representation based on concept units, which are integrated with different types of feature spaces and with different region scales of image segmentation. The design of the concept units aims at describing similar characteristics at a certain perspective among relevant images. We present the details of our proposed approach based on a state-space model for interactive image retrieval, including likelihood and transition models, and we also describe some experiments that show the efficacy of our proposed model. This work demonstrates the feasibility of using a state-space model to estimate the user intuition in image retrieval.

  3. Youth Texting: Help or Hindrance to Literacy?

    Science.gov (United States)

    Zebroff, Dmitri

    2018-01-01

    An extensive amount of research has been performed in recent years into the widespread practice of text messaging in youth. As part of this broad area of research, the associations between youth texting and literacy have been investigated in a variety of contexts. A comprehensive, semi-systematic review of the literature into texting and literacy…

  4. Choices of texts for literary education

    DEFF Research Database (Denmark)

    Skyggebjerg, Anna Karlskov

    This paper charts the general implications of the choice of texts for literature teaching in the Danish school system, especially in Grades 8 and 9. It will analyze and discuss the premises of the choice of texts, and the possibilities of a certain choice of text in a concrete classroom situation...

  5. Effects of Text Messaging on Academic Performance

    OpenAIRE

    Barks Amanda; Searight H. Russell; Ratwik Susan

    2011-01-01

    University students frequently send and receive cellular phone text messages during classroominstruction. Cognitive psychology research indicates that multi-tasking is frequently associatedwith performance cost. However, university students often have considerable experience withelectronic multi-tasking and may believe that they can devote necessary attention to a classroomlecture while sending and receiving text messages. In the current study, university students whoused text messaging were ...

  6. Text-Picture Relations in Cooking Instructions

    NARCIS (Netherlands)

    van der Sluis, Ielka; Leito, Shadira; Redeker, Gisela; Bunt, Harry

    2016-01-01

    Like many other instructions, recipes on packages with ready-to-use ingredients for a dish combine a series of pictures with short text paragraphs. The information presentation in such multimodal instructions can be compact (either text or picture) and/or cohesive (text and picture). In an

  7. Academic Journal Embargoes and Full Text Databases.

    Science.gov (United States)

    Brooks, Sam

    2003-01-01

    Documents the reasons for embargoes of academic journals in full text databases (i.e., publisher-imposed delays on the availability of full text content) and provides insight regarding common misconceptions. Tables present data on selected journals covering a cross-section of subjects and publishers and comparing two full text business databases.…

  8. A quick survey of text categorization algorithms

    Directory of Open Access Journals (Sweden)

    Dan MUNTEANU

    2007-12-01

    Full Text Available This paper contains an overview of basic formulations and approaches to text classification. This paper surveys the algorithms used in text categorization: handcrafted rules, decision trees, decision rules, on-line learning, linear classifier, Rocchio’s algorithm, k Nearest Neighbor (kNN, Support Vector Machines (SVM.

  9. Inclusion in the Workplace - Text Version | NREL

    Science.gov (United States)

    Careers » Inclusion in the Workplace - Text Version Inclusion in the Workplace - Text Version This is the text version for the Inclusion: Leading by Example video. I'm Martin Keller. I'm the NREL of the laboratory. Another very important element in inclusion is diversity. Because if we have a

  10. Effects of Text Messaging on Academic Performance

    Directory of Open Access Journals (Sweden)

    Barks Amanda

    2011-12-01

    Full Text Available University students frequently send and receive cellular phone text messages during classroominstruction. Cognitive psychology research indicates that multi-tasking is frequently associatedwith performance cost. However, university students often have considerable experience withelectronic multi-tasking and may believe that they can devote necessary attention to a classroomlecture while sending and receiving text messages. In the current study, university students whoused text messaging were randomly assigned to one of two conditions: 1. a group that sent andreceived text messages during a lecture or, 2. a group that did not engage in text messagingduring the lecture. Participants who engaged in text messaging demonstrated significantlypoorer performance on a test covering lecture content compared with the group that did notsend and receive text messages. Participants exhibiting higher levels of text messaging skill hadsignificantly lower test scores than participants who were less proficient at text messaging. It ishypothesized that in terms of retention of lecture material, more frequent task shifting by thosewith greater text messaging proficiency contributed to poorer performance. Overall, the findingsdo not support the view, held by many university students, that this form of multitasking has littleeffect on the acquisition of lecture content. Results provide empirical support for teachers andprofessors who ban text messaging in the classroom.

  11. The artists' text as work of art

    NARCIS (Netherlands)

    van Rijn, I.A.M.J.

    2017-01-01

    Artists’ texts are texts written and produced by visual artists. Their number increasing since the 2000s, it becomes important to clarify their obscure relationship to art institutions. Analysing and comparing four different artists’ texts on a textual level, this research proposes an alternative to

  12. An Embedded Application for Degraded Text Recognition

    Directory of Open Access Journals (Sweden)

    Thillou Céline

    2005-01-01

    Full Text Available This paper describes a mobile device which tries to give the blind or visually impaired access to text information. Three key technologies are required for this system: text detection, optical character recognition, and speech synthesis. Blind users and the mobile environment imply two strong constraints. First, pictures will be taken without control on camera settings and a priori information on text (font or size and background. The second issue is to link several techniques together with an optimal compromise between computational constraints and recognition efficiency. We will present the overall description of the system from text detection to OCR error correction.

  13. The Instructional Text like a Textual Genre

    Directory of Open Access Journals (Sweden)

    Adiane Fogali Marinello

    2011-07-01

    Full Text Available This article analyses the instructional text as a textual genre and is part of the research called Reading and text production from the textual genre perspective, done at Universidade de Caxias do Sul, Campus Universitário da Região dos Vinhedos. Firstly, some theoretical assumptions about textual genre are presented, then, the instructional text is characterized. After that an instructional text is analyzed and, finally, some activities related to reading and writing of the mentioned genre directed to High School and University students are suggested.

  14. Text mining with R a tidy approach

    CERN Document Server

    Silge, Julia

    2017-01-01

    Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you'll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You'll learn how tidytext and other tidy tools in R can make text analysis easier and more effective. The authors demonstrate how treating text as data frames enables you to manipulate, summarize, and visualize characteristics of text. You'll also learn how to integrate natural language processing (NLP) into effective workflows. Practical code examples and data explorations will help you generate real insights from literature, news, and social media. Learn how to apply the tidy text format to NLP Use sentiment analysis to mine the emotional content of text Identify a document's most important terms with frequency measurements E...

  15. The nuclear modification of charged particles in Pb-Pb at $\\sqrt{\\text{s}_\\text{NN}} = \\text{5.02}\\,\\text{TeV}$ measured with ALICE

    CERN Document Server

    Gronefeld, Julius

    2016-09-21

    The study of inclusive charged-particle production in heavy-ion collisions provides insights into the density of the medium and the energy-loss mechanisms. The observed suppression of high-$\\textit{p}_\\text{T}$ yield is generally attributed to energy loss of partons as they propagate through a deconfined state of quarks and gluons - Quark-Gluon Plasma (QGP) - predicted by QCD. Such measurements allow the characterization of the QGP by comparison with models. In these proceedings, results on high-$\\textit{p}_\\text{T}$ particle production measured by ALICE in Pb-Pb collisions at $ \\sqrt{\\text{s}_\\text{NN}}\\, = 5.02\\ \\rm{TeV}$ as well as well in pp at $\\sqrt{\\text{s}}\\,=5.02\\ \\rm{TeV}$ are presented for the first time. The nuclear modification factors ($\\text{R}_\\text{AA}$) in Pb-Pb collisions are presented and compared with model calculations.

  16. Text mining improves prediction of protein functional sites.

    Directory of Open Access Journals (Sweden)

    Karin M Verspoor

    Full Text Available We present an approach that integrates protein structure analysis and text mining for protein functional site prediction, called LEAP-FS (Literature Enhanced Automated Prediction of Functional Sites. The structure analysis was carried out using Dynamics Perturbation Analysis (DPA, which predicts functional sites at control points where interactions greatly perturb protein vibrations. The text mining extracts mentions of residues in the literature, and predicts that residues mentioned are functionally important. We assessed the significance of each of these methods by analyzing their performance in finding known functional sites (specifically, small-molecule binding sites and catalytic sites in about 100,000 publicly available protein structures. The DPA predictions recapitulated many of the functional site annotations and preferentially recovered binding sites annotated as biologically relevant vs. those annotated as potentially spurious. The text-based predictions were also substantially supported by the functional site annotations: compared to other residues, residues mentioned in text were roughly six times more likely to be found in a functional site. The overlap of predictions with annotations improved when the text-based and structure-based methods agreed. Our analysis also yielded new high-quality predictions of many functional site residues that were not catalogued in the curated data sources we inspected. We conclude that both DPA and text mining independently provide valuable high-throughput protein functional site predictions, and that integrating the two methods using LEAP-FS further improves the quality of these predictions.

  17. Reach and Relevance of Prison Research

    Directory of Open Access Journals (Sweden)

    Hilde Tubex

    2015-04-01

    Full Text Available In this contribution I reflect on the changes in the penal landscape and how they impact on prison research. I do this from my experiences as a prison researcher in a variety of roles, in both Europe and Australia. The growing dominance of managerialism has impacted on both corrective services and universities, in ways that have changed the relationship between current prison practices and academically oriented research. Therefore, academics have to question how their contemporary prison research can bridge the emerging gap: how they can not only produce research that adheres to the roots of criminology and provides a base for a rational penal policy, but also how they can develop strategies to get recognition of and funding for this broader contextual work which, although it might not produce results that are immediately identifiable, can be of relevance in indirect ways and in the longer term.

  18. On the origin of long-range correlations in texts.

    Science.gov (United States)

    Altmann, Eduardo G; Cristadoro, Giampaolo; Esposti, Mirko Degli

    2012-07-17

    The complexity of human interactions with social and natural phenomena is mirrored in the way we describe our experiences through natural language. In order to retain and convey such a high dimensional information, the statistical properties of our linguistic output has to be highly correlated in time. An example are the robust observations, still largely not understood, of correlations on arbitrary long scales in literary texts. In this paper we explain how long-range correlations flow from highly structured linguistic levels down to the building blocks of a text (words, letters, etc..). By combining calculations and data analysis we show that correlations take form of a bursty sequence of events once we approach the semantically relevant topics of the text. The mechanisms we identify are fairly general and can be equally applied to other hierarchical settings.

  19. Medical images storage using discrete cosine transform

    International Nuclear Information System (INIS)

    Arhouma, Ali M.; Ajaal, Tawfik; Marghani, Khaled

    2010-01-01

    The advances in technology during the last decades have made the use of digital images as one of the common things in everyday life. While the application of digital images in communicating information is very important, the cost of storing and transmitting images is much larger compared to storage and transmission of text. The main problem with all of the images was the fact that they take large size of memory space, large transmission bandwidth and long transmission time. Image data compression is needed to reduce the storage space,transmission bandwidth and transmission time. Medical image compression plays a key role as hospitals move towards filmless imaging and go completely digital. Image compression allows Picture Archiving and Communication Systems (PACS) to reduce the file size on their storage requirements while maintaining relevant diagnostic information. The reduced image file size yield reduced transmission times. Even as the capacity of storage media continues to increase, it is expected that the volume of uncompressed data produced by hospitals will exceed capacity of storage and drive up costs. This paper proposes a Discrete Cosine Transform (DCT) algorithm which can help to solve the image storage and transmission time problem in hospitals. Discrete cosine transform (DCT) has become the most popular technique for image compression over the past several years. One of the major reasons for its popularity is its selection as the standard for JPEG. DCTs are most commonly used for non-analytical applications such as image processing and digital signal-processing (DSP) applications such as video conferencing, fax systems, video disks, and high-definition television HDTV. They also can be used on a matrix of practically any dimension. The proposed (DCT) algorithm improves the performance of medical image compression while satisfying both the medical image quality, and the high compression ratio. Application of DCT coding algorithm to actual still images

  20. Search across Different Media: Numeric Data Sets and Text Files

    Directory of Open Access Journals (Sweden)

    Michael Buckland

    2006-12-01

    Full Text Available Digital technology encourages the hope of searching across and between different media forms (text, sound, image, numeric data. Topic searches are described in two different media: text files and socioeconomic numeric databases and also for transverse searching, whereby retrieved text is used to find topically related numeric data and vice versa. Direct transverse searching across different media is impossible. Descriptive metadata provide enabling infrastructure, but usually require mappings between different vocabularies and a search-term recommender system. Statistical association techniques and natural-language processing can help. Searches in socioeconomic numeric databases ordinarily require that place and time be specified.

  1. Children's (Pediatric) Abdominal Ultrasound Imaging

    Medline Plus

    Full Text Available ... through blood vessels. Ultrasound imaging is a noninvasive medical test that helps physicians diagnose and treat medical conditions. Children's (pediatric) abdominal ultrasound imaging produces pictures ...

  2. Adaptive Text Entry for Mobile Devices

    DEFF Research Database (Denmark)

    Proschowsky, Morten Smidt

    The reduced size of many mobile devices makes it difficult to enter text with them. The text entry methods are often slow or complicated to use. This affects the performance and user experience of all applications and services on the device. This work introduces new easy-to-use text entry methods...... for mobile devices and a framework for adaptive context-aware language models. Based on analysis of current text entry methods, the requirements to the new text entry methods are established. Transparent User guided Prediction (TUP) is a text entry method for devices with one dimensional touch input. It can...... be touch sensitive wheels, sliders or similar input devices. The interaction design of TUP is done with a combination of high level task models and low level models of human motor behaviour. Three prototypes of TUP are designed and evaluated by more than 30 users. Observations from the evaluations are used...

  3. Relevance of equilibrium in multifragmentation

    International Nuclear Information System (INIS)

    Furuta, Takuya; Ono, Akira

    2009-01-01

    The relevance of equilibrium in a multifragmentation reaction of very central 40 Ca + 40 Ca collisions at 35 MeV/nucleon is investigated by using simulations of antisymmetrized molecular dynamics (AMD). Two types of ensembles are compared. One is the reaction ensemble of the states at each reaction time t in collision events simulated by AMD, and the other is the equilibrium ensemble prepared by solving the AMD equation of motion for a many-nucleon system confined in a container for a long time. The comparison of the ensembles is performed for the fragment charge distribution and the excitation energies. Our calculations show that there exists an equilibrium ensemble that well reproduces the reaction ensemble at each reaction time t for the investigated period 80≤t≤300 fm/c. However, there are some other observables that show discrepancies between the reaction and equilibrium ensembles. These may be interpreted as dynamical effects in the reaction. The usual static equilibrium at each instant is not realized since any equilibrium ensemble with the same volume as that of the reaction system cannot reproduce the fragment observables

  4. Cleaning OCR'd text with Regular Expressions

    OpenAIRE

    Laura Turner O'Hara

    2013-01-01

    Optical Character Recognition (OCR)—the conversion of scanned images to machine-encoded text—has proven a godsend for historical research. This process allows texts to be searchable on one hand and more easily parsed and mined on the other. But we’ve all noticed that the OCR for historic texts is far from perfect. Old type faces and formats make for unique OCR. How might we improve poor quality OCR? The answer is Regular Expressions or “regex.”

  5. Text Detection and Pose Estimation for a Reading Robot

    OpenAIRE

    Bulacu, Marius; Ezaki, Nobuo; Schomaker, Lambert

    2008-01-01

    One very important advantage of using CoCos for text detection is that they naturally allow the analysis to take place across scales. In this approach, scale does not represent such a problematic issue because the CoCo extraction process is scale independent. CoCos give a prompt, but rather imperfect, hold to the structures present in the image and CoCo selection

  6. Planning Multisentential English Text Using Communicative Acts

    Science.gov (United States)

    1990-12-01

    Composition, Vol. XI in series Advances in Discourse Processing, Alex Publishing Corporation. de Joia , A. and Stenton, A. 1980. Terms in Linguistics: A Guide to...investigate how attentional constraints relate to text planning and linguistic realization. 14 SUBJECT TE1MS I I N& De OF PAGES Natural Language Generation...surface form? Page I 4. What is the relation of communicative intentions to text structure and surface form? 5. What effects can texts be designed to have

  7. Text Mining of Supreme Administrative Court Jurisdictions

    OpenAIRE

    Feinerer, Ingo; Hornik, Kurt

    2007-01-01

    Within the last decade text mining, i.e., extracting sensitive information from text corpora, has become a major factor in business intelligence. The automated textual analysis of law corpora is highly valuable because of its impact on a company's legal options and the raw amount of available jurisdiction. The study of supreme court jurisdiction and international law corpora is equally important due to its effects on business sectors. In this paper we use text mining methods to investigate Au...

  8. Recognizing Cursive Typewritten Text Using Segmentation-Free System

    Directory of Open Access Journals (Sweden)

    Mohammad S. Khorsheed

    2015-01-01

    Full Text Available Feature extraction plays an important role in text recognition as it aims to capture essential characteristics of the text image. Feature extraction algorithms widely range between robust and hard to extract features and noise sensitive and easy to extract features. Among those feature types are statistical features which are derived from the statistical distribution of the image pixels. This paper presents a novel method for feature extraction where simple statistical features are extracted from a one-pixel wide window that slides across the text line. The feature set is clustered in the feature space using vector quantization. The feature vector sequence is then injected to a classification engine for training and recognition purposes. The recognition system is applied to a data corpus which includes cursive Arabic text of more than 600 A4-size sheets typewritten in multiple computer-generated fonts. The system performance is compared to a previously published system from the literature with a similar engine but a different feature set.

  9. Script-independent text line segmentation in freestyle handwritten documents.

    Science.gov (United States)

    Li, Yi; Zheng, Yefeng; Doermann, David; Jaeger, Stefan; Li, Yi

    2008-08-01

    Text line segmentation in freestyle handwritten documents remains an open document analysis problem. Curvilinear text lines and small gaps between neighboring text lines present a challenge to algorithms developed for machine printed or hand-printed documents. In this paper, we propose a novel approach based on density estimation and a state-of-the-art image segmentation technique, the level set method. From an input document image, we estimate a probability map, where each element represents the probability that the underlying pixel belongs to a text line. The level set method is then exploited to determine the boundary of neighboring text lines by evolving an initial estimate. Unlike connected component based methods ( [1], [2] for example), the proposed algorithm does not use any script-specific knowledge. Extensive quantitative experiments on freestyle handwritten documents with diverse scripts, such as Arabic, Chinese, Korean, and Hindi, demonstrate that our algorithm consistently outperforms previous methods [1]-[3]. Further experiments show the proposed algorithm is robust to scale change, rotation, and noise.

  10. Science and Technology Text Mining Basic Concepts

    National Research Council Canada - National Science Library

    Losiewicz, Paul

    2003-01-01

    ...). It then presents some of the most widely used data and text mining techniques, including clustering and classification methods, such as nearest neighbor, relational learning models, and genetic...

  11. Using Unlabeled Data to Improve Text Classification

    National Research Council Canada - National Science Library

    Nigam, Kamal P

    2001-01-01

    .... This dissertation demonstrates that supervised learning algorithms that use a small number of labeled examples and many inexpensive unlabeled examples can create high-accuracy text classifiers...

  12. Learners misperceive the benefits of redundant text in multimedia learning.

    Science.gov (United States)

    Fenesi, Barbara; Kim, Joseph A

    2014-01-01

    Research on metacognition has consistently demonstrated that learners fail to endorse instructional designs that produce benefits to memory, and often prefer designs that actually impair comprehension. Unlike previous studies in which learners were only exposed to a single multimedia design, the current study used a within-subjects approach to examine whether exposure to both redundant text and non-redundant text multimedia presentations improved learners' metacognitive judgments about presentation styles that promote better understanding. A redundant text multimedia presentation containing narration paired with verbatim on-screen text (Redundant) was contrasted with two non-redundant text multimedia presentations: (1) narration paired with images and minimal text (Complementary) or (2) narration paired with minimal text (Sparse). Learners watched presentation pairs of either Redundant + Complementary, or Redundant + Sparse. Results demonstrate that Complementary and Sparse presentations produced highest overall performance on the final comprehension assessment, but the Redundant presentation produced highest perceived understanding and engagement ratings. These findings suggest that learners misperceive the benefits of redundant text, even after direct exposure to a non-redundant, effective presentation.

  13. Comparative cardiac imaging

    International Nuclear Information System (INIS)

    Brundage, B.H.

    1990-01-01

    This book is designed to compare all major cardiac imaging techniques. All major imaging techniques - including conventional angiography, digital angiography, echocardiography and Doppler imaging, conventional radioisotope techniques, computed tomography, and magnetic resonance imaging - are covered in this text as they apply to the major cardiovascular disorders. There is brief coverage of positron emission tomography and an extensive presentation of ultrafast computed tomography

  14. How Love for the Image Cast out Fear of It in Early Christianity

    Directory of Open Access Journals (Sweden)

    Natalie Carnes

    2017-02-01

    Full Text Available Iconoclastic and iconophilic impulses have long vied for pre-eminence in Christianity, coming to one particularly fraught crisis point in the Byzantine Iconomachy of the eighth and ninth centuries. Funding both impulses, this paper argues, is a profound Platonic ambivalence about the image. For Plato, the image not only deceives and enslaves; it also reveals and inspires. Plotinus, Gregory of Nyssa, Augustine, John of Damascus, and Theodore of Stoudios articulate their own iterations of Plato’s hopes and fears about the image as they attempt different strategies for resolving these dueling inclinations. This paper traces the evolution of image theory across these thinkers to illumine how Theodore of Stoudios’ approach magnifies Platonic image hopes and quells fears in a way that prepares for the ongoing resolution of image anxiety in the iconographic tradition. More than a purely historical interest, this arc of image thought have continuing relevance for image theory today.

  15. Computed Tomography and Magnetic Resonance Imaging Features of the Temporomandibular Joint in Two Normal Camels

    Directory of Open Access Journals (Sweden)

    Alberto Arencibia

    2012-01-01

    Full Text Available Computed tomography (CT and magnetic resonance (MR image features of the temporomandibular joint (TMJ and associated structures in two mature dromedary camels were obtained with a third-generation equipment CT and a superconducting magnet RM at 1.5 Tesla. Images were acquired in sagittal and transverse planes. Medical imaging processing with imaging software was applied to obtain postprocessing CT and MR images. Relevant anatomic structures were identified and labelled. The resulting images provided excellent anatomic detail of the TMJ and associated structures. Annotated CT and MR images from this study are intended as an anatomical reference useful in the interpretation for clinical CT and MR imaging studies of the TMJ of the dromedary camels.

  16. DataToText: A Consumer-Oriented Approach to Data Analysis

    Science.gov (United States)

    Kenny, David A.

    2010-01-01

    DataToText is a project developed where the user communicates the relevant information for an analysis and DataToText computer routine produces text output that describes in words, tables, and figures the results from the analyses. Two extended examples are given, one an example of a moderator analysis and the other an example of a dyadic data…

  17. Multisource Images Analysis Using Collaborative Clustering

    Directory of Open Access Journals (Sweden)

    Pierre Gançarski

    2008-04-01

    Full Text Available The development of very high-resolution (VHR satellite imagery has produced a huge amount of data. The multiplication of satellites which embed different types of sensors provides a lot of heterogeneous images. Consequently, the image analyst has often many different images available, representing the same area of the Earth surface. These images can be from different dates, produced by different sensors, or even at different resolutions. The lack of machine learning tools using all these representations in an overall process constraints to a sequential analysis of these various images. In order to use all the information available simultaneously, we propose a framework where different algorithms can use different views of the scene. Each one works on a different remotely sensed image and, thus, produces different and useful information. These algorithms work together in a collaborative way through an automatic and mutual refinement of their results, so that all the results have almost the same number of clusters, which are statistically similar. Finally, a unique result is produced, representing a consensus among the information obtained by each clustering method on its own image. The unified result and the complementarity of the single results (i.e., the agreement between the clustering methods as well as the disagreement lead to a better understanding of the scene. The experiments carried out on multispectral remote sensing images have shown that this method is efficient to extract relevant information and to improve the scene understanding.

  18. Text Mining Improves Prediction of Protein Functional Sites

    Science.gov (United States)

    Cohn, Judith D.; Ravikumar, Komandur E.

    2012-01-01

    We present an approach that integrates protein structure analysis and text mining for protein functional site prediction, called LEAP-FS (Literature Enhanced Automated Prediction of Functional Sites). The structure analysis was carried out using Dynamics Perturbation Analysis (DPA), which predicts functional sites at control points where interactions greatly perturb protein vibrations. The text mining extracts mentions of residues in the literature, and predicts that residues mentioned are functionally important. We assessed the significance of each of these methods by analyzing their performance in finding known functional sites (specifically, small-molecule binding sites and catalytic sites) in about 100,000 publicly available protein structures. The DPA predictions recapitulated many of the functional site annotations and preferentially recovered binding sites annotated as biologically relevant vs. those annotated as potentially spurious. The text-based predictions were also substantially supported by the functional site annotations: compared to other residues, residues mentioned in text were roughly six times more likely to be found in a functional site. The overlap of predictions with annotations improved when the text-based and structure-based methods agreed. Our analysis also yielded new high-quality predictions of many functional site residues that were not catalogued in the curated data sources we inspected. We conclude that both DPA and text mining independently provide valuable high-throughput protein functional site predictions, and that integrating the two methods using LEAP-FS further improves the quality of these predictions. PMID:22393388

  19. Reality = relevance? Insights from spontaneous modulations of the brain's default network when telling apart reality from fiction.

    Directory of Open Access Journals (Sweden)

    Anna Abraham

    Full Text Available BACKGROUND: Although human beings regularly experience fictional worlds through activities such as reading novels and watching movies, little is known about what mechanisms underlie our implicit knowledge of the distinction between reality and fiction. The first neuroimaging study to address this issue revealed that the mere exposure to contexts involving real entities compared to fictional characters led to engagement of regions in the anterior medial prefrontal and posterior cingulate cortices (amPFC, PCC. As these core regions of the brain's default network are involved during self-referential processing and autobiographical memory retrieval, it was hypothesized that real entities may be conceptually coded as being more personally relevant to us than fictional characters. METHODOLOGY/PRINCIPAL FINDINGS: In the present functional magnetic resonance imaging (fMRI study, we directly test the hypothesis that entity-associated personal relevance is the critical factor underlying the differential engagement of these brain regions by comparing the brain's response when processing contexts involving family or friends (high relevance, famous people (medium relevance, or fictional characters (low relevance. In line with predictions, a gradient pattern of activation was observed such that higher entity-associated personal relevance was associated with stronger activation in the amPFC and the PCC. CONCLUSIONS/SIGNIFICANCE: The results of the study have several important implications. Firstly, they provide informed grounds for characterizing the dynamics of reality-fiction distinction. Secondly, they provide further insights into the functions of the amPFC and the PCC. Thirdly, in view of the current debate related to the functional relevance and specificity of brain's default network, they reveal a novel approach by which the functions of this network can be further explored.

  20. Value Relevance of Accounting Information in the United Arab Emirates

    Directory of Open Access Journals (Sweden)

    Jamal Barzegari Khanagha

    2011-01-01

    Full Text Available This paper examines the value relevance of accounting information in per and post-periods of International Financial Reporting Standards implementation using the regression and portfolio approaches for sample of the UAE companies. The results obtained from a combination of regression and portfolio approaches, show accounting information is value relevant in UAE stock market. A comparison of the results for the periods before and after adoption, based on both regression and portfolio approaches, shows a decline in value relevance of accounting information after the reform in accounting standards. It could be interpreted to mean that following to IFRS in UAE didn’t improve value relevancy of accounting information. However, results based on and portfolio approach shows that cash flows’ incremental information content increased for the post-IFRS period.

  1. Assessing the scientific relevance of a single publication over time

    Directory of Open Access Journals (Sweden)

    Philipp A. Bloching

    2013-09-01

    Full Text Available Quantitatively assessing the scientific relevance of a research paper is challenging for two reasons. Firstly, scientific relevance may change over time, and secondly, it is unclear how to evaluate a recently published paper. The temporally averaged paper-specific impact factor is defined as the yearly average of citations to the paper until now including bonus citations equal to the journal impact factor in the publication year. This new measure subsequently allows relevance rankings and annual updates of all (i.e. both recent and older scientific papers of a department, or even a whole scientific field, on a more objective basis. It can also be used to assess both the average and overall time-dependent scientific relevance of researchers in a specific department or scientific field.

  2. Categorising Resources of Historical Memory in Researching Publicistic Text

    Directory of Open Access Journals (Sweden)

    Konyk Anastasiya

    2016-12-01

    Full Text Available The article focuses on the allocation and analysis of the main resources of historical memory which are considered as peculiar indicators for studying publicist content and conceptual reading of discourses of historical memory in contemporary publications. It is relevant insofar as researching the use and intensification of these or other resources of historical memory allows us to observe changes in world landmarks, socio-political moods, ideological references and temperament and the dynamics of re-interpretation of historical facts and events by authors.

  3. Statistical significance versus clinical relevance.

    Science.gov (United States)

    van Rijn, Marieke H C; Bech, Anneke; Bouyer, Jean; van den Brand, Jan A J G

    2017-04-01

    In March this year, the American Statistical Association (ASA) posted a statement on the correct use of P-values, in response to a growing concern that the P-value is commonly misused and misinterpreted. We aim to translate these warnings given by the ASA into a language more easily understood by clinicians and researchers without a deep background in statistics. Moreover, we intend to illustrate the limitations of P-values, even when used and interpreted correctly, and bring more attention to the clinical relevance of study findings using two recently reported studies as examples. We argue that P-values are often misinterpreted. A common mistake is saying that P < 0.05 means that the null hypothesis is false, and P ≥0.05 means that the null hypothesis is true. The correct interpretation of a P-value of 0.05 is that if the null hypothesis were indeed true, a similar or more extreme result would occur 5% of the times upon repeating the study in a similar sample. In other words, the P-value informs about the likelihood of the data given the null hypothesis and not the other way around. A possible alternative related to the P-value is the confidence interval (CI). It provides more information on the magnitude of an effect and the imprecision with which that effect was estimated. However, there is no magic bullet to replace P-values and stop erroneous interpretation of scientific results. Scientists and readers alike should make themselves familiar with the correct, nuanced interpretation of statistical tests, P-values and CIs. © The Author 2017. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.

  4. Text comprehension strategy instruction with poor readers

    NARCIS (Netherlands)

    Van den Bos, K.P.; Aarnoudse, C.C.; Brand-Gruwel, S.

    1998-01-01

    The goal of this study was to investigate the effects of teaching text comprehension strategies to children with decoding and reading comprehension problems and with a poor or normal listening ability. Two experiments are reported. Four text comprehension strategies, viz., question generation,

  5. Text Manipulation Techniques and Foreign Language Composition.

    Science.gov (United States)

    Walker, Ronald W.

    1982-01-01

    Discusses an approach to teaching second language composition which emphasizes (1) careful analysis of model texts from a limited, but well-defined perspective and (2) the application of text manipulation techniques developed by the word processing industry to student compositions. (EKN)

  6. Teachers' Texts in Culturally Responsive Teaching

    Science.gov (United States)

    Kesler, Ted

    2011-01-01

    In this paper, the author shares three teaching stories that demonstrate the social, cultural, political, and historical factors of all texts in specific interpretive communities. The author shows how the texts that comprised his curriculum constructed particular subject positions that inevitably included some students but marginalized and…

  7. Readability Revisited? The Implications of Text Complexity

    Science.gov (United States)

    Wray, David; Janan, Dahlia

    2013-01-01

    The concept of readability has had a variable history, moving from a position where it was considered as a very important topic for those responsible for producing texts and matching those texts to the abilities and needs of learners, to its current declining visibility in the education literature. Some important work has been coming from the USA…

  8. Tipster Text Phase 2 Architecture Design

    Science.gov (United States)

    1996-06-19

    TIPSTER Text Phase II Architecture Design Version 2.1p 19 June 1996 Ralph Grishman New York University grishman @cs.nyu.edu and the TIPSTER...1996 2. REPORT TYPE 3. DATES COVERED 00-00-1996 to 00-00-1996 4. TITLE AND SUBTITLE TIPSTER Text Phase II Architecture Design 5a. CONTRACT

  9. Using Digital Texts to Promote Fluent Reading

    Science.gov (United States)

    Thoermer, Andrea; Williams, Lunetta

    2012-01-01

    Fluency is a critical skill of adept readers. As listening to read alouds and performing Readers Theatre scripts are two prevalent strategies that can increase students' fluency skills, this article provides suggestions in using these strategies with digital texts through free, online resources. Digital texts can be accessed using a desktop,…

  10. Interest, Inferences, and Learning from Texts

    Science.gov (United States)

    Clinton, Virginia; van den Broek, Paul

    2012-01-01

    Topic interest and learning from texts have been found to be positively associated with each other. However, the reason for this positive association is not well understood. The purpose of this study is to examine a cognitive process, inference generation, that could explain the positive association between interest and learning from texts. In…

  11. Text Fabric: What, How, and Why

    NARCIS (Netherlands)

    Erwich, C.M.; Kingham, Cody

    Text-Fabric (TF) is a promising new framework for the Eep Talstra Center for Bible and Computer corpus plus (linguistic) annotations. TF is a Python 3.x software package that provides scientific, accessible and reproducible ways of processing Biblical Hebrew text data. It also allows sharing the

  12. An Intelligent System For Arabic Text Categorization

    NARCIS (Netherlands)

    Syiam, M.M.; Tolba, Mohamed F.; Fayed, Z.T.; Abdel-Wahab, Mohamed S.; Ghoniemy, Said A.; Habib, Mena Badieh

    Text Categorization (classification) is the process of classifying documents into a predefined set of categories based on their content. In this paper, an intelligent Arabic text categorization system is presented. Machine learning algorithms are used in this system. Many algorithms for stemming and

  13. Flexible frontiers for text division into rows

    Directory of Open Access Journals (Sweden)

    Dan L. Lacrămă

    2009-01-01

    Full Text Available This paper presents an original solution for flexible hand-written text division into rows. Unlike the standard procedure, the proposed method avoids the isolated characters extensions amputation and reduces the recognition error rate in the final stage.

  14. Lexical Information in Memory for Text.

    Science.gov (United States)

    Hayes-Roth, Barbara

    Cued-recall and two-alternative, forced-choice recognition measures were used to evaluate subjects' retention of the specific wordings of studied texts. Results obtained after 10-minute and 24 hour retention intervals suggest that the studied wordings of texts are functional components of their memory representations. Theories that assume…

  15. Undergraduates' Text Messaging Language and Literacy Skills

    Science.gov (United States)

    Grace, Abbie; Kemp, Nenagh; Martin, Frances Heritage; Parrila, Rauno

    2014-01-01

    Research investigating whether people's literacy skill is being affected by the use of text messaging language has produced largely positive results for children, but mixed results for adults. We asked 150 undergraduate university students in Western Canada and 86 in South Eastern Australia to supply naturalistic text messages and to complete…

  16. Language Skills in Classical Chinese Text Comprehension

    Science.gov (United States)

    Lau, Kit-ling

    2018-01-01

    This study used both quantitative and qualitative methods to explore the role of lower- and higher-level language skills in classical Chinese (CC) text comprehension. A CC word and sentence translation test, text comprehension test, and questionnaire were administered to 393 Secondary Four students; and 12 of these were randomly selected to…

  17. The Weaknesses of Full-Text Searching

    Science.gov (United States)

    Beall, Jeffrey

    2008-01-01

    This paper provides a theoretical critique of the deficiencies of full-text searching in academic library databases. Because full-text searching relies on matching words in a search query with words in online resources, it is an inefficient method of finding information in a database. This matching fails to retrieve synonyms, and it also retrieves…

  18. Application of LSP Texts in Translator Training

    Science.gov (United States)

    Ilynska, Larisa; Smirnova, Tatjana; Platonova, Marina

    2017-01-01

    The paper presents discussion of the results of extensive empirical research into efficient methods of educating and training translators of LSP (language for special purposes) texts. The methodology is based on using popular LSP texts in the respective fields as one of the main media for translator training. The aim of the paper is to investigate…

  19. Modeling text with generalizable Gaussian mixtures

    DEFF Research Database (Denmark)

    Hansen, Lars Kai; Sigurdsson, Sigurdur; Kolenda, Thomas

    2000-01-01

    We apply and discuss generalizable Gaussian mixture (GGM) models for text mining. The model automatically adapts model complexity for a given text representation. We show that the generalizability of these models depends on the dimensionality of the representation and the sample size. We discuss...

  20. Texts, Transmissions, Receptions. Modern Approaches to Narratives

    NARCIS (Netherlands)

    Lardinois, A.P.M.H.; Levie, S.A.; Hoeken, H.; Lüthy, C.H.

    2015-01-01

    The papers collected in this volume study the function and meaning of narrative texts from a variety of perspectives. The word 'text' is used here in the broadest sense of the term: it denotes literary books, but also oral tales, speeches, newspaper articles and comics. One of the purposes of this