Sample records for microsoft word documents

  1. BioWord: A sequence manipulation suite for Microsoft Word

    PubMed Central

    2012-01-01

    Background The ability to manipulate, edit and process DNA and protein sequences has rapidly become a necessary skill for practicing biologists across a wide swath of disciplines. In spite of this, most everyday sequence manipulation tools are distributed across several programs and web servers, sometimes requiring installation and typically involving frequent switching between applications. To address this problem, here we have developed BioWord, a macro-enabled self-installing template for Microsoft Word documents that integrates an extensive suite of DNA and protein sequence manipulation tools. Results BioWord is distributed as a single macro-enabled template that self-installs with a single click. After installation, BioWord will open as a tab in the Office ribbon. Biologists can then easily manipulate DNA and protein sequences using a familiar interface and minimize the need to switch between applications. Beyond simple sequence manipulation, BioWord integrates functionality ranging from dyad search and consensus logos to motif discovery and pair-wise alignment. Written in Visual Basic for Applications (VBA) as an open source, object-oriented project, BioWord allows users with varying programming experience to expand and customize the program to better meet their own needs. Conclusions BioWord integrates a powerful set of tools for biological sequence manipulation within a handy, user-friendly tab in a widely used word processing software package. The use of a simple scripting language and an object-oriented scheme facilitates customization by users and provides a very accessible educational platform for introducing students to basic bioinformatics algorithms. PMID:22676326

  2. BioWord: a sequence manipulation suite for Microsoft Word.

    PubMed

    Anzaldi, Laura J; Muñoz-Fernández, Daniel; Erill, Ivan

    2012-06-07

    The ability to manipulate, edit and process DNA and protein sequences has rapidly become a necessary skill for practicing biologists across a wide swath of disciplines. In spite of this, most everyday sequence manipulation tools are distributed across several programs and web servers, sometimes requiring installation and typically involving frequent switching between applications. To address this problem, here we have developed BioWord, a macro-enabled self-installing template for Microsoft Word documents that integrates an extensive suite of DNA and protein sequence manipulation tools. BioWord is distributed as a single macro-enabled template that self-installs with a single click. After installation, BioWord will open as a tab in the Office ribbon. Biologists can then easily manipulate DNA and protein sequences using a familiar interface and minimize the need to switch between applications. Beyond simple sequence manipulation, BioWord integrates functionality ranging from dyad search and consensus logos to motif discovery and pair-wise alignment. Written in Visual Basic for Applications (VBA) as an open source, object-oriented project, BioWord allows users with varying programming experience to expand and customize the program to better meet their own needs. BioWord integrates a powerful set of tools for biological sequence manipulation within a handy, user-friendly tab in a widely used word processing software package. The use of a simple scripting language and an object-oriented scheme facilitates customization by users and provides a very accessible educational platform for introducing students to basic bioinformatics algorithms.

  3. Beyond Word Processing. In Microsoft Word 5.0 with Word 5.1 Addendum.

    ERIC Educational Resources Information Center

    Hall, Jean Marie; Yoder, Sharon

    This book is designed for use with Microsoft Word 5.0; it includes an addendum covering the new features of Word 5.1. The contents of the book are designed to get individuals started using some of the more advanced techniques available in Word. Some of the ideas presented in the book will be of immediate use and others are more complex. All of the…

  4. Spotting words in handwritten Arabic documents

    NASA Astrophysics Data System (ADS)

    Srihari, Sargur; Srinivasan, Harish; Babu, Pavithra; Bhole, Chetan

    2006-01-01

    The design and performance of a system for spotting handwritten Arabic words in scanned document images is presented. Three main components of the system are a word segmenter, a shape based matcher for words and a search interface. The user types in a query in English within a search window, the system finds the equivalent Arabic word, e.g., by dictionary look-up, locates word images in an indexed (segmented) set of documents. A two-step approach is employed in performing the search: (1) prototype selection: the query is used to obtain a set of handwritten samples of that word from a known set of writers (these are the prototypes), and (2) word matching: the prototypes are used to spot each occurrence of those words in the indexed document database. A ranking is performed on the entire set of test word images-- where the ranking criterion is a similarity score between each prototype word and the candidate words based on global word shape features. A database of 20,000 word images contained in 100 scanned handwritten Arabic documents written by 10 different writers was used to study retrieval performance. Using five writers for providing prototypes and the other five for testing, using manually segmented documents, 55% precision is obtained at 50% recall. Performance increases as more writers are used for training.

  5. Document image retrieval through word shape coding.

    PubMed

    Lu, Shijian; Li, Linlin; Tan, Chew Lim

    2008-11-01

    This paper presents a document retrieval technique that is capable of searching document images without OCR (optical character recognition). The proposed technique retrieves document images by a new word shape coding scheme, which captures the document content through annotating each word image by a word shape code. In particular, we annotate word images by using a set of topological shape features including character ascenders/descenders, character holes, and character water reservoirs. With the annotated word shape codes, document images can be retrieved by either query keywords or a query document image. Experimental results show that the proposed document image retrieval technique is fast, efficient, and tolerant to various types of document degradation.

  6. Font adaptive word indexing of modern printed documents.

    PubMed

    Marinai, Simone; Marino, Emanuele; Soda, Giovanni

    2006-08-01

    We propose an approach for the word-level indexing of modern printed documents which are difficult to recognize using current OCR engines. By means of word-level indexing, it is possible to retrieve the position of words in a document, enabling queries involving proximity of terms. Web search engines implement this kind of indexing, allowing users to retrieve Web pages on the basis of their textual content. Nowadays, digital libraries hold collections of digitized documents that can be retrieved either by browsing the document images or relying on appropriate metadata assembled by domain experts. Word indexing tools would therefore increase the access to these collections. The proposed system is designed to index homogeneous document collections by automatically adapting to different languages and font styles without relying on OCR engines for character recognition. The approach is based on three main ideas: the use of Self Organizing Maps (SOM) to perform unsupervised character clustering, the definition of one suitable vector-based word representation whose size depends on the word aspect-ratio, and the run-time alignment of the query word with indexed words to deal with broken and touching characters. The most appropriate applications are for processing modern printed documents (17th to 19th centuries) where current OCR engines are less accurate. Our experimental analysis addresses six data sets containing documents ranging from books of the 17th century to contemporary journals.

  7. Unsupervised Word Spotting in Historical Handwritten Document Images using Document-oriented Local Features.

    PubMed

    Zagoris, Konstantinos; Pratikakis, Ioannis; Gatos, Basilis

    2017-05-03

    Word spotting strategies employed in historical handwritten documents face many challenges due to variation in the writing style and intense degradation. In this paper, a new method that permits effective word spotting in handwritten documents is presented that it relies upon document-oriented local features which take into account information around representative keypoints as well a matching process that incorporates spatial context in a local proximity search without using any training data. Experimental results on four historical handwritten datasets for two different scenarios (segmentation-based and segmentation-free) using standard evaluation measures show the improved performance achieved by the proposed methodology.

  8. Word spotting for handwritten documents using Chamfer Distance and Dynamic Time Warping

    NASA Astrophysics Data System (ADS)

    Saabni, Raid M.; El-Sana, Jihad A.

    2011-01-01

    A large amount of handwritten historical documents are located in libraries around the world. The desire to access, search, and explore these documents paves the way for a new age of knowledge sharing and promotes collaboration and understanding between human societies. Currently, the indexes for these documents are generated manually, which is very tedious and time consuming. Results produced by state of the art techniques, for converting complete images of handwritten documents into textual representations, are not yet sufficient. Therefore, word-spotting methods have been developed to archive and index images of handwritten documents in order to enable efficient searching within documents. In this paper, we present a new matching algorithm to be used in word-spotting tasks for historical Arabic documents. We present a novel algorithm based on the Chamfer Distance to compute the similarity between shapes of word-parts. Matching results are used to cluster images of Arabic word-parts into different classes using the Nearest Neighbor rule. To compute the distance between two word-part images, the algorithm subdivides each image into equal-sized slices (windows). A modified version of the Chamfer Distance, incorporating geometric gradient features and distance transform data, is used as a similarity distance between the different slices. Finally, the Dynamic Time Warping (DTW) algorithm is used to measure the distance between two images of word-parts. By using the DTW we enabled our system to cluster similar word-parts, even though they are transformed non-linearly due to the nature of handwriting. We tested our implementation of the presented methods using various documents in different writing styles, taken from Juma'a Al Majid Center - Dubai, and obtained encouraging results.

  9. Automated software system for checking the structure and format of ACM SIG documents

    NASA Astrophysics Data System (ADS)

    Mirza, Arsalan Rahman; Sah, Melike

    2017-04-01

    Microsoft (MS) Office Word is one of the most commonly used software tools for creating documents. MS Word 2007 and above uses XML to represent the structure of MS Word documents. Metadata about the documents are automatically created using Office Open XML (OOXML) syntax. We develop a new framework, which is called ADFCS (Automated Document Format Checking System) that takes the advantage of the OOXML metadata, in order to extract semantic information from MS Office Word documents. In particular, we develop a new ontology for Association for Computing Machinery (ACM) Special Interested Group (SIG) documents for representing the structure and format of these documents by using OWL (Web Ontology Language). Then, the metadata is extracted automatically in RDF (Resource Description Framework) according to this ontology using the developed software. Finally, we generate extensive rules in order to infer whether the documents are formatted according to ACM SIG standards. This paper, introduces ACM SIG ontology, metadata extraction process, inference engine, ADFCS online user interface, system evaluation and user study evaluations.

  10. Microsoft Biology Initiative: .NET Bioinformatics Platform and Tools

    PubMed Central

    Diaz Acosta, B.

    2011-01-01

    The Microsoft Biology Initiative (MBI) is an effort in Microsoft Research to bring new technology and tools to the area of bioinformatics and biology. This initiative is comprised of two primary components, the Microsoft Biology Foundation (MBF) and the Microsoft Biology Tools (MBT). MBF is a language-neutral bioinformatics toolkit built as an extension to the Microsoft .NET Framework—initially aimed at the area of Genomics research. Currently, it implements a range of parsers for common bioinformatics file formats; a range of algorithms for manipulating DNA, RNA, and protein sequences; and a set of connectors to biological web services such as NCBI BLAST. MBF is available under an open source license, and executables, source code, demo applications, documentation and training materials are freely downloadable from http://research.microsoft.com/bio. MBT is a collection of tools that enable biology and bioinformatics researchers to be more productive in making scientific discoveries.

  11. A Multiple-Representation Paradigm for Document Development

    DTIC Science & Technology

    1988-07-05

    Write [10], MicroSoft ·word [99], PageMaker [4], Vent ura Pub- lisher [135], Interleaf Publishing System [78], FrameMaker [52] and more have alre ady...processing in FrameMaker , MicroSoft Word, and Ventura Publisher are all handled by a noninteractive off-line program. Direct manipulation, from the

  12. Exploiting domain information for Word Sense Disambiguation of medical documents.

    PubMed

    Stevenson, Mark; Agirre, Eneko; Soroa, Aitor

    2012-01-01

    Current techniques for knowledge-based Word Sense Disambiguation (WSD) of ambiguous biomedical terms rely on relations in the Unified Medical Language System Metathesaurus but do not take into account the domain of the target documents. The authors' goal is to improve these methods by using information about the topic of the document in which the ambiguous term appears. The authors proposed and implemented several methods to extract lists of key terms associated with Medical Subject Heading terms. These key terms are used to represent the document topic in a knowledge-based WSD system. They are applied both alone and in combination with local context. A standard measure of accuracy was calculated over the set of target words in the widely used National Library of Medicine WSD dataset. The authors report a significant improvement when combining those key terms with local context, showing that domain information improves the results of a WSD system based on the Unified Medical Language System Metathesaurus alone. The best results were obtained using key terms obtained by relevance feedback and weighted by inverse document frequency.

  13. Using Microsoft Access: A How-To-Do-It Manual for Librarians. How-To-Do-It Manuals for Librarians, Number 76.

    ERIC Educational Resources Information Center

    Butler, E. Sonny

    Much of what librarians do today requires adeptness in creating and manipulating databases. Many new computers bought by libraries every year come packaged with Microsoft Office and include Microsoft Access. This database program features a seamless interface between Microsoft Office's other programs like Word, Excel, and PowerPoint. This book…

  14. Car manufacturers and global road safety: a word frequency analysis of road safety documents.

    PubMed

    Roberts, I; Wentz, R; Edwards, P

    2006-10-01

    The World Bank believes that the car manufacturers can make a valuable contribution to road safety in poor countries and has established the Global Road Safety Partnership (GRSP) for this purpose. However, some commentators are sceptical. The authors examined road safety policy documents to assess the extent of any bias. Word frequency analyses of road safety policy documents from the World Health Organization (WHO) and the GRSP. The relative occurrence of key road safety terms was quantified by calculating a word prevalence ratio with 95% confidence intervals. Terms for which there was a fourfold difference in prevalence between the documents were tabulated. Compared to WHO's World report on road traffic injury prevention, the GRSP road safety documents were substantially less likely to use the words speed, speed limits, child restraint, pedestrian, public transport, walking, and cycling, but substantially more likely to use the words school, campaign, driver training, and billboard. There are important differences in emphasis in road safety policy documents prepared by WHO and the GRSP. Vigilance is needed to ensure that the road safety interventions that the car industry supports are based on sound evidence of effectiveness.

  15. Exploiting domain information for Word Sense Disambiguation of medical documents

    PubMed Central

    Agirre, Eneko; Soroa, Aitor

    2011-01-01

    Objective Current techniques for knowledge-based Word Sense Disambiguation (WSD) of ambiguous biomedical terms rely on relations in the Unified Medical Language System Metathesaurus but do not take into account the domain of the target documents. The authors' goal is to improve these methods by using information about the topic of the document in which the ambiguous term appears. Design The authors proposed and implemented several methods to extract lists of key terms associated with Medical Subject Heading terms. These key terms are used to represent the document topic in a knowledge-based WSD system. They are applied both alone and in combination with local context. Measurements A standard measure of accuracy was calculated over the set of target words in the widely used National Library of Medicine WSD dataset. Results and discussion The authors report a significant improvement when combining those key terms with local context, showing that domain information improves the results of a WSD system based on the Unified Medical Language System Metathesaurus alone. The best results were obtained using key terms obtained by relevance feedback and weighted by inverse document frequency. PMID:21900701

  16. Customising Microsoft Office to Develop a Tutorial Learning Environment

    ERIC Educational Resources Information Center

    Deacon, Andrew; Jaftha, Jacob; Horwitz, David

    2004-01-01

    Powerful applications such as Microsoft Office's Excel and Word are widely used to perform common tasks in the workplace and in education. Scripting within these applications allows unanticipated user requirements to be addressed. We show that such extensibility, intended to support office automation-type applications, is well suited to the…

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

    NASA Astrophysics Data System (ADS)

    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

  18. An Efficiency Comparison of Document Preparation Systems Used in Academic Research and Development

    PubMed Central

    Knauff, Markus; Nejasmic, Jelica

    2014-01-01

    The choice of an efficient document preparation system is an important decision for any academic researcher. To assist the research community, we report a software usability study in which 40 researchers across different disciplines prepared scholarly texts with either Microsoft Word or LaTeX. The probe texts included simple continuous text, text with tables and subheadings, and complex text with several mathematical equations. We show that LaTeX users were slower than Word users, wrote less text in the same amount of time, and produced more typesetting, orthographical, grammatical, and formatting errors. On most measures, expert LaTeX users performed even worse than novice Word users. LaTeX users, however, more often report enjoying using their respective software. We conclude that even experienced LaTeX users may suffer a loss in productivity when LaTeX is used, relative to other document preparation systems. Individuals, institutions, and journals should carefully consider the ramifications of this finding when choosing document preparation strategies, or requiring them of authors. PMID:25526083

  19. 78 FR 65440 - Notice of Funds Availability (NOFA) Inviting Applications for the Native American CDFI Assistance...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-10-31

    ... of multiple mandatory documents including: (1) a PDF fillable Applicant intake form; (2) a Microsoft Excel Workbook; (3) a Microsoft Word Narrative template; and (4) other mandatory attachments. (Applicants must use the Microsoft Word Narrative template the CDFI Fund provides; alternative templates...

  20. Fuzzy Document Clustering Approach using WordNet Lexical Categories

    NASA Astrophysics Data System (ADS)

    Gharib, Tarek F.; Fouad, Mohammed M.; Aref, Mostafa M.

    Text mining refers generally to the process of extracting interesting information and knowledge from unstructured text. This area is growing rapidly mainly because of the strong need for analysing the huge and large amount of textual data that reside on internal file systems and the Web. Text document clustering provides an effective navigation mechanism to organize this large amount of data by grouping their documents into a small number of meaningful classes. In this paper we proposed a fuzzy text document clustering approach using WordNet lexical categories and Fuzzy c-Means algorithm. Some experiments are performed to compare efficiency of the proposed approach with the recently reported approaches. Experimental results show that Fuzzy clustering leads to great performance results. Fuzzy c-means algorithm overcomes other classical clustering algorithms like k-means and bisecting k-means in both clustering quality and running time efficiency.

  1. Microsoft Office 365 Deployment Continues through June at NCI at Frederick | Poster

    Cancer.gov

    The latest Microsoft suite, Office 365 (O365), is being deployed to all NCI at Frederick computers during the months of May and June to comply with federal mandates. The suite includes the latest versions of Word, Excel, Outlook, PowerPoint, and Skype for Business, along with cloud-based capabilities. These cloud-based capabilities will help meet the federal mandates that

  2. Microsoft, libraries and open source

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    None

    2010-04-26

    We are finally starting to see the early signs of transformation inscholarly publishing. The innovations we've been expecting for years areslowly being adopted, but we can also expect the pace of change toaccelerate in the coming 3 to 5 years. At the same time, many of ritualsand artifacts of the scholarly communication lifecycle are still rooted ina centuries-old model.  What are the primary goals of scholarlycommunication, and what will be the future role of librarians in thatcycle?  What are the obstacles in information flow (many of our owndesign) that can be removed?Is the library profession moving fast enough to staymore » ahead of the curve...or are we ever going to be struggling to keep up? With the advent of thedata deluge, all-XML workflows, the semantic Web, cloud servicesand increasingly intelligent mobile devices - what are the implicationsfor libraries, archivists, publishers, scholarly societies as well asindividual researchers and scholars? The opportunities are many - butcapitalizing on this ever-evolving landscape will require significantchanges to our field, changes that we are not currently well-positioned toenact. This talk will map the current scholarly communication landscape -highlighting recent exciting developments, and will focus on therepercussions and some specific recommendations for the broader field ofinformation management.About the speaker:Alex Wade is the Director for Scholarly Communication within Microsoft'sExternal Research division, where he oversees several projects related toresearcher productivity tools, semantic information capture, and theinteroperability of information systems. Alex holds a Bachelor's degree inPhilosophy from U.C. Berkeley, and a Masters of Librarianship degree fromthe University of Washington.During his career at Microsoft, Alex has managed the corporate search andtaxonomy management services; has shipped a SharePoint-based document andworkflow management solution for Sarbanes-Oxley compliance; and

  3. Sending Foreign Language Word Processor Files over Networks.

    ERIC Educational Resources Information Center

    Feustle, Joseph A., Jr.

    1992-01-01

    Advantages of using online systems are described, and specific techniques for successfully transmitting computer text files are described. Topics covered include Microsoft's Rich TextFile, WordPerfect encoding, text compression, and especially encoding and decoding with UNIX programs. (LB)

  4. 78 FR 4812 - Endangered and Threatened Wildlife and Plants; Removal of the Valley Elderberry Longhorn Beetle...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-01-23

    ... a separate document, our preferred file format is Microsoft Word. If you attach multiple comments (such as form letters), our preferred format is a Microsoft Excel spreadsheet. (2) By Hard Copy: Submit...

  5. Document clustering methods, document cluster label disambiguation methods, document clustering apparatuses, and articles of manufacture

    DOEpatents

    Sanfilippo, Antonio [Richland, WA; Calapristi, Augustin J [West Richland, WA; Crow, Vernon L [Richland, WA; Hetzler, Elizabeth G [Kennewick, WA; Turner, Alan E [Kennewick, WA

    2009-12-22

    Document clustering methods, document cluster label disambiguation methods, document clustering apparatuses, and articles of manufacture are described. In one aspect, a document clustering method includes providing a document set comprising a plurality of documents, providing a cluster comprising a subset of the documents of the document set, using a plurality of terms of the documents, providing a cluster label indicative of subject matter content of the documents of the cluster, wherein the cluster label comprises a plurality of word senses, and selecting one of the word senses of the cluster label.

  6. Microsoft health patient journey demonstrator.

    PubMed

    Disse, Kirsten

    2008-01-01

    As health care becomes more reliant on electronic systems, there is a need to standardise display elements to promote patient safety and clinical efficiency. The Microsoft Health Common User Interface (MSCUI) programme, developed by Microsoft and the National Health Service (NHS) was born out of this need and creates guidance and controls designed to increase patient safety and clinical effectiveness through consistent interface treatments. The Microsoft Health Patient Journey Demonstrator is a prototype tool designed to provide exemplar implementations of MSCUI guidance on a Microsoft platform. It is a targeted glimpse at a visual interface for the integration of health-relevant information, including electronic medical records. We built the demonstrator in Microsoft Silverlight 2, our application technology which brings desktop functionality and enriched levels of user experience to health settings worldwide via the internet. We based the demonstrator on an easily recognisable clinical scenario which offered us the most scope for demonstrating MSCUI guidance and innovation. The demonstrator is structured in three sections (administration, primary care and secondary care) each of which illustrates the activities associated within the setting relevant to our scenario. The demonstrator is published on the MSCUI website www.mscui.net The MSCUI patient journey demonstrator has been successful in raising awareness and increasing interest in the CUI programme.

  7. 78 FR 58507 - Endangered and Threatened Wildlife and Plants; 90-Day Finding on a Petition To List 10 Sturgeon...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-09-24

    ... Microsoft Excel. By Hard Copy: U.S. mail or hand-delivery: Public Comments Processing, Attn: FWS-HQ-ES-2013... procedures. If you attach your comments as a separate document, our preferred file format is Microsoft Word...

  8. Inclusion in the Microsoft Workforce

    ERIC Educational Resources Information Center

    Exceptional Parent, 2008

    2008-01-01

    Since 1975, Microsoft has been a worldwide leader in software, services, and solutions that help people and businesses realize their full potential. Loren Mikola, the Disability Inclusion Program Manager at Microsoft, ensures that this technology also reaches and includes the special needs population and, through the hiring of individuals with…

  9. [MapDraw: a microsoft excel macro for drawing genetic linkage maps based on given genetic linkage data].

    PubMed

    Liu, Ren-Hu; Meng, Jin-Ling

    2003-05-01

    MAPMAKER is one of the most widely used computer software package for constructing genetic linkage maps.However, the PC version, MAPMAKER 3.0 for PC, could not draw the genetic linkage maps that its Macintosh version, MAPMAKER 3.0 for Macintosh,was able to do. Especially in recent years, Macintosh computer is much less popular than PC. Most of the geneticists use PC to analyze their genetic linkage data. So a new computer software to draw the same genetic linkage maps on PC as the MAPMAKER for Macintosh to do on Macintosh has been crying for. Microsoft Excel,one component of Microsoft Office package, is one of the most popular software in laboratory data processing. Microsoft Visual Basic for Applications (VBA) is one of the most powerful functions of Microsoft Excel. Using this program language, we can take creative control of Excel, including genetic linkage map construction, automatic data processing and more. In this paper, a Microsoft Excel macro called MapDraw is constructed to draw genetic linkage maps on PC computer based on given genetic linkage data. Use this software,you can freely construct beautiful genetic linkage map in Excel and freely edit and copy it to Word or other application. This software is just an Excel format file. You can freely copy it from ftp://211.69.140.177 or ftp://brassica.hzau.edu.cn and the source code can be found in Excel's Visual Basic Editor.

  10. Microsoft Repository Version 2 and the Open Information Model.

    ERIC Educational Resources Information Center

    Bernstein, Philip A.; Bergstraesser, Thomas; Carlson, Jason; Pal, Shankar; Sanders, Paul; Shutt, David

    1999-01-01

    Describes the programming interface and implementation of the repository engine and the Open Information Model for Microsoft Repository, an object-oriented meta-data management facility that ships in Microsoft Visual Studio and Microsoft SQL Server. Discusses Microsoft's component object model, object manipulation, queries, and information…

  11. How to Create a Navigational Wireframe in Word, With Site Map Example

    EPA Pesticide Factsheets

    Use Microsoft Word's graphic tools to create a wireframe: an organization chart showing the top three levels of HTML content (Home page, secondary pages, and tertiary pages). This is an important step in planning the structure of a website.

  12. Utilizing Microsoft Mathematics in Teaching and Learning Calculus

    ERIC Educational Resources Information Center

    Oktaviyanthi, Rina; Supriani, Yani

    2015-01-01

    The experimental design was conducted to investigate the use of Microsoft Mathematics, free software made by Microsoft Corporation, in teaching and learning Calculus. This paper reports results from experimental study details on implementation of Microsoft Mathematics in Calculus, students' achievement and the effects of the use of Microsoft…

  13. Transcript mapping for handwritten English documents

    NASA Astrophysics Data System (ADS)

    Jose, Damien; Bharadwaj, Anurag; Govindaraju, Venu

    2008-01-01

    Transcript mapping or text alignment with handwritten documents is the automatic alignment of words in a text file with word images in a handwritten document. Such a mapping has several applications in fields ranging from machine learning where large quantities of truth data are required for evaluating handwriting recognition algorithms, to data mining where word image indexes are used in ranked retrieval of scanned documents in a digital library. The alignment also aids "writer identity" verification algorithms. Interfaces which display scanned handwritten documents may use this alignment to highlight manuscript tokens when a person examines the corresponding transcript word. We propose an adaptation of the True DTW dynamic programming algorithm for English handwritten documents. The integration of the dissimilarity scores from a word-model word recognizer and Levenshtein distance between the recognized word and lexicon word, as a cost metric in the DTW algorithm leading to a fast and accurate alignment, is our primary contribution. Results provided, confirm the effectiveness of our approach.

  14. Master's Students' Perceptions of Microsoft Word for Mathematical Typesetting

    ERIC Educational Resources Information Center

    Loch, Birgit; Lowe, Tim W.; Mestel, Ben D.

    2015-01-01

    It is widely recognized that mathematical typesetting is more difficult than typesetting in most other disciplines due to the need for specialized mathematical notation and symbols. While most mathematicians type mathematical documents using LaTeX, with varying levels of proficiency, students often use other options or handwrite mathematics. Here,…

  15. The Number of Scholarly Documents on the Public Web

    PubMed Central

    Khabsa, Madian; Giles, C. Lee

    2014-01-01

    The number of scholarly documents available on the web is estimated using capture/recapture methods by studying the coverage of two major academic search engines: Google Scholar and Microsoft Academic Search. Our estimates show that at least 114 million English-language scholarly documents are accessible on the web, of which Google Scholar has nearly 100 million. Of these, we estimate that at least 27 million (24%) are freely available since they do not require a subscription or payment of any kind. In addition, at a finer scale, we also estimate the number of scholarly documents on the web for fifteen fields: Agricultural Science, Arts and Humanities, Biology, Chemistry, Computer Science, Economics and Business, Engineering, Environmental Sciences, Geosciences, Material Science, Mathematics, Medicine, Physics, Social Sciences, and Multidisciplinary, as defined by Microsoft Academic Search. In addition, we show that among these fields the percentage of documents defined as freely available varies significantly, i.e., from 12 to 50%. PMID:24817403

  16. The number of scholarly documents on the public web.

    PubMed

    Khabsa, Madian; Giles, C Lee

    2014-01-01

    The number of scholarly documents available on the web is estimated using capture/recapture methods by studying the coverage of two major academic search engines: Google Scholar and Microsoft Academic Search. Our estimates show that at least 114 million English-language scholarly documents are accessible on the web, of which Google Scholar has nearly 100 million. Of these, we estimate that at least 27 million (24%) are freely available since they do not require a subscription or payment of any kind. In addition, at a finer scale, we also estimate the number of scholarly documents on the web for fifteen fields: Agricultural Science, Arts and Humanities, Biology, Chemistry, Computer Science, Economics and Business, Engineering, Environmental Sciences, Geosciences, Material Science, Mathematics, Medicine, Physics, Social Sciences, and Multidisciplinary, as defined by Microsoft Academic Search. In addition, we show that among these fields the percentage of documents defined as freely available varies significantly, i.e., from 12 to 50%.

  17. [A co-word analysis of current research on neonatal jaundice].

    PubMed

    Bao, Shan; Yang, Xiao-Yan; Tang, Jun; Wu, Jin-Lin; Mu, De-Zhi

    2014-08-01

    To investigate the research on neonatal jaundice in recent years by co-word analysis and to summarize the hot spots and trend of research in this field in China. The CNKI was searched with "neonate" and "jaundice" as the key words to identify the papers published from January 2009 to July 2013 that were in accordance with strict inclusion and exclusion criteria. To reveal the relationship between different high-frequency key words, Microsoft Office Excel 2013 was used for statistical analysis of key words, and Ucinet 6.0 and Netdraw were used for co-occurrence analysis. A total of 2 054 papers were included, and 44 high-frequency key words were extracted. The current hotspots of research on neonatal jaundice in China were displayed, and the relationship between different high-frequency key words was presented. There has been in-depth research on clinical manifestations and diagnosis of neonatal jaundice in China, but further research is needed to investigate the etiology, mechanism, and treatment of neonatal jaundice.

  18. Microsoft in Southeast Europe: A Conversation with Goran Radman

    ERIC Educational Resources Information Center

    Pendergast, William; Frayne, Colette; Kelley, Patricia

    2009-01-01

    Goran Radman (GR) joined Microsoft in 1996 and served until Fall 2008 as Microsoft Chairman, Southeast Europe (SEE) and Chairman, East and Central Europe (ECEE). Based in Croatia, where he enjoys sailing the Adriatic coast and islands, he spoke with the authors during 2008 and 2009 about his experience launching Microsoft's commercial presence in…

  19. Efficient automatic OCR word validation using word partial format derivation and language model

    NASA Astrophysics Data System (ADS)

    Chen, Siyuan; Misra, Dharitri; Thoma, George R.

    2010-01-01

    In this paper we present an OCR validation module, implemented for the System for Preservation of Electronic Resources (SPER) developed at the U.S. National Library of Medicine.1 The module detects and corrects suspicious words in the OCR output of scanned textual documents through a procedure of deriving partial formats for each suspicious word, retrieving candidate words by partial-match search from lexicons, and comparing the joint probabilities of N-gram and OCR edit transformation corresponding to the candidates. The partial format derivation, based on OCR error analysis, efficiently and accurately generates candidate words from lexicons represented by ternary search trees. In our test case comprising a historic medico-legal document collection, this OCR validation module yielded the correct words with 87% accuracy and reduced the overall OCR word errors by around 60%.

  20. Evaluating the Informative Quality of Documents in SGML Format from Judgements by Means of Fuzzy Linguistic Techniques Based on Computing with Words.

    ERIC Educational Resources Information Center

    Herrera-Viedma, Enrique; Peis, Eduardo

    2003-01-01

    Presents a fuzzy evaluation method of SGML documents based on computing with words. Topics include filtering the amount of information available on the Web to assist users in their search processes; document type definitions; linguistic modeling; user-system interaction; and use with XML and other markup languages. (Author/LRW)

  1. A Point to Share: Streamlining Access Services Workflow through Online Collaboration, Communication, and Storage with Microsoft SharePoint

    ERIC Educational Resources Information Center

    Diffin, Jennifer; Chirombo, Fanuel; Nangle, Dennis; de Jong, Mark

    2010-01-01

    This article explains how the document management team (circulation and interlibrary loan) at the University of Maryland University College implemented Microsoft's SharePoint product to create a central hub for online collaboration, communication, and storage. Enhancing the team's efficiency, organization, and cooperation was the primary goal.…

  2. Experimental Design: Utilizing Microsoft Mathematics in Teaching and Learning Calculus

    ERIC Educational Resources Information Center

    Oktaviyanthi, Rina; Supriani, Yani

    2015-01-01

    The experimental design was conducted to investigate the use of Microsoft Mathematics, free software made by Microsoft Corporation, in teaching and learning Calculus. This paper reports results from experimental study details on implementation of Microsoft Mathematics in Calculus, students' achievement and the effects of the use of Microsoft…

  3. Progress Report--Microsoft Office 2003 Lynchburg College Tutorials

    ERIC Educational Resources Information Center

    Murray, Tom

    2004-01-01

    For the past several years Lynchburg College has developed Microsoft tutorials for use with academic classes and faculty, student and staff training. The tutorials are now used internationally. Last year Microsoft and Verizon sponsored a tutorial web site at http://www.officetutorials.com. This website recognizes ASCUE members for their wonderful…

  4. Holographic Rovers: Augmented Reality and the Microsoft HoloLens

    NASA Technical Reports Server (NTRS)

    Toler, Laura

    2017-01-01

    Augmented Reality is an emerging field in technology, and encompasses Head Mounted Displays, smartphone apps, and even projected images. HMDs include the Meta 2, Magic Leap, Avegant Light Field, and the Microsoft HoloLens, which is evaluated specifically. The Microsoft HoloLens is designed to be used as an AR personal computer, and is being optimized with that goal in mind. Microsoft allied with the Unity3D game engine to create an SDK for interested application developers that can be used in the Unity environment.

  5. A Simple Method for Reproducing Orbital Plots for Illustration Using Microsoft Paint and Microsoft Excel

    NASA Astrophysics Data System (ADS)

    Niebuhr, Cole

    2018-04-01

    Papers published in the astronomical community, particularly in the field of double star research, often contain plots that display the positions of the component stars relative to each other on a Cartesian coordinate plane. Due to the complexities of plotting a three-dimensional orbit into a two-dimensional image, it is often difficult to include an accurate reproduction of the orbit for comparison purposes. Methods to circumvent this obstacle do exist; however, many of these protocols result in low-quality blurred images or require specific and often expensive software. Here, a method is reported using Microsoft Paint and Microsoft Excel to produce high-quality images with an accurate reproduction of a partial orbit.

  6. Microsoft's Book-Search Project Has a Surprise Ending

    ERIC Educational Resources Information Center

    Foster, Andrea L.

    2008-01-01

    It is hard to imagine a Microsoft venture falling under the weight of a competitor. That's the post-mortem offered by many academic librarians as they ponder the software giant's recent and sudden announcement that it is shutting down its book-digitization project. The librarians' conclusion: Google did it. Microsoft quietly revealed in May that…

  7. 76 FR 10405 - Federal Copyright Protection of Sound Recordings Fixed Before February 15, 1972

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-02-24

    ... file in either the Adobe Portable Document File (PDF) format that contains searchable, accessible text (not an image); Microsoft Word; WordPerfect; Rich Text Format (RTF); or ASCII text file format (not a..., comments may be delivered in hard copy. If hand delivered by a private party, an original [[Page 10406...

  8. PKSolver: An add-in program for pharmacokinetic and pharmacodynamic data analysis in Microsoft Excel.

    PubMed

    Zhang, Yong; Huo, Meirong; Zhou, Jianping; Xie, Shaofei

    2010-09-01

    This study presents PKSolver, a freely available menu-driven add-in program for Microsoft Excel written in Visual Basic for Applications (VBA), for solving basic problems in pharmacokinetic (PK) and pharmacodynamic (PD) data analysis. The program provides a range of modules for PK and PD analysis including noncompartmental analysis (NCA), compartmental analysis (CA), and pharmacodynamic modeling. Two special built-in modules, multiple absorption sites (MAS) and enterohepatic circulation (EHC), were developed for fitting the double-peak concentration-time profile based on the classical one-compartment model. In addition, twenty frequently used pharmacokinetic functions were encoded as a macro and can be directly accessed in an Excel spreadsheet. To evaluate the program, a detailed comparison of modeling PK data using PKSolver and professional PK/PD software package WinNonlin and Scientist was performed. The results showed that the parameters estimated with PKSolver were satisfactory. In conclusion, the PKSolver simplified the PK and PD data analysis process and its output could be generated in Microsoft Word in the form of an integrated report. The program provides pharmacokinetic researchers with a fast and easy-to-use tool for routine and basic PK and PD data analysis with a more user-friendly interface. Copyright 2010 Elsevier Ireland Ltd. All rights reserved.

  9. An automatically updateable web publishing solution: taking document sharing and conversion to enterprise level

    NASA Astrophysics Data System (ADS)

    Rahman, Fuad; Tarnikova, Yuliya; Hartono, Rachmat; Alam, Hassan

    2006-01-01

    This paper presents a novel automatic web publishing solution, Pageview (R). PageView (R) is a complete working solution for document processing and management. The principal aim of this tool is to allow workgroups to share, access and publish documents on-line on a regular basis. For example, assuming that a person is working on some documents. The user will, in some fashion, organize his work either in his own local directory or in a shared network drive. Now extend that concept to a workgroup. Within a workgroup, some users are working together on some documents, and they are saving them in a directory structure somewhere on a document repository. The next stage of this reasoning is that a workgroup is working on some documents, and they want to publish them routinely on-line. Now it may happen that they are using different editing tools, different software, and different graphics tools. The resultant documents may be in PDF, Microsoft Office (R), HTML, or Word Perfect format, just to name a few. In general, this process needs the documents to be processed in a fashion so that they are in the HTML format, and then a web designer needs to work on that collection to make them available on-line. PageView (R) takes care of this whole process automatically, making the document workflow clean and easy to follow. PageView (R) Server publishes documents, complete with the directory structure, for online use. The documents are automatically converted to HTML and PDF so that users can view the content without downloading the original files, or having to download browser plug-ins. Once published, other users can access the documents as if they are accessing them from their local folders. The paper will describe the complete working system and will discuss possible applications within the document management research.

  10. us9805_latilt

    Science.gov Websites

    ;meta http-equiv=Content-Type content="text/html; charset=iso-8859-1"> <meta name=ProgId content=Word.Document> <meta name=Generator content="Microsoft Word 11"> <meta name /dublin_core"> <meta name=dc.title content="Alaska Solar Resource: Flat Plate Collector, Facing

  11. Creating Printed Materials for Mathematics with a Macintosh Computer.

    ERIC Educational Resources Information Center

    Mahler, Philip

    This document gives instructions on how to use a Macintosh computer to create printed materials for mathematics. A Macintosh computer, Microsoft Word, and objected-oriented (Draw-type) art program, and a function-graphing program are capable of producing high quality printed instructional materials for mathematics. Word 5.1 has an equation editor…

  12. Improving the Plasticity of LIMS Implementation: LIMS Extension through Microsoft Excel

    NASA Technical Reports Server (NTRS)

    Culver, Mark

    2017-01-01

    A Laboratory Information Management System (LIMS) is a databasing software with many built-in tools ideal for handling and documenting most laboratory processes in an accurate and consistent manner, making it an indispensable tool for the modern laboratory. However, a lot of LIMS end users will find that in the performance of analyses that have unique considerations such as standard curves, multiple stages incubations, or logical considerations, a base LIMS distribution may not ideally suit their needs. These considerations bring about the need for extension languages, which can extend the functionality of a LIMS. While these languages do provide the implementation team the functionality required to accommodate these special laboratory analyses, they are usually too complex for the end user to modify to compensate for natural changes in laboratory operations. The LIMS utilized by our laboratory offers a unique and easy-to-use choice for an extension language, one that is already heavily relied upon not only in science but also in most academic and business pursuits: Microsoft Excel. The validity of Microsoft Excel as a pseudo programming language and its usability and versatility as a LIMS extension language will be discussed. The NELAC implications and overall drawbacks of this LIMS configuration will also be discussed.

  13. Word Spotting for Indic Documents to Facilitate Retrieval

    NASA Astrophysics Data System (ADS)

    Bhardwaj, Anurag; Setlur, Srirangaraj; Govindaraju, Venu

    With advances in the field of digitization of printed documents and several mass digitization projects underway, information retrieval and document search have emerged as key research areas. However, most of the current work in these areas is limited to English and a few oriental languages. The lack of efficient solutions for Indic scripts has hampered information extraction from a large body of documents of cultural and historical importance. This chapter presents two relevant topics in this area. First, we describe the use of a script-specific keyword spotting for Devanagari documents that makes use of domain knowledge of the script. Second, we address the needs of a digital library to provide access to a collection of documents from multiple scripts. This requires intelligent solutions which scale across different scripts. We present a script-independent keyword spotting approach for this purpose. Experimental results illustrate the efficacy of our methods.

  14. Microsoft's Vista: Guarantees People with Special Needs Access to Computers

    ERIC Educational Resources Information Center

    Williams, John M.

    2006-01-01

    In this article, the author discusses the accessibility features of Microsoft's Windows Vista. One of the most innovative aspects of Windows Vista is a new accessibility and automated testing model called Microsoft UI Automation, which reduces development costs not only for accessible and assistive technology (AT) developers, but also for…

  15. Microsoft Excel Software Usage for Teaching Science and Engineering Curriculum

    ERIC Educational Resources Information Center

    Singh, Gurmukh; Siddiqui, Khalid

    2009-01-01

    In this article, our main objective is to present the use of Microsoft Software Excel 2007/2003 for teaching college and university level curriculum in science and engineering. In particular, we discuss two interesting and fascinating examples of interactive applications of Microsoft Excel targeted for undergraduate students in: 1) computational…

  16. Microsoft's Tom Corddry on Multimedia, the Information Superhighway and the Future of Online.

    ERIC Educational Resources Information Center

    Herther, Nancy K.

    1994-01-01

    Tom Corddry, Microsoft Corporation's Creative Director for the Consumer Division, is interviewed about the Microsoft Home line of products and the development of related CD-ROM and multimedia products. Reasons for Microsoft's entry into the content market and its challenges, the market's future, and the company's interest in developing online…

  17. Challenging Google, Microsoft Unveils a Search Tool for Scholarly Articles

    ERIC Educational Resources Information Center

    Carlson, Scott

    2006-01-01

    Microsoft has introduced a new search tool to help people find scholarly articles online. The service, which includes journal articles from prominent academic societies and publishers, puts Microsoft in direct competition with Google Scholar. The new free search tool, which should work on most Web browsers, is called Windows Live Academic Search…

  18. Using OpenOffice as a Portable Interface to JAVA-Based Applications

    NASA Astrophysics Data System (ADS)

    Comeau, T.; Garrett, B.; Richon, J.; Romelfanger, F.

    2004-07-01

    STScI previously used Microsoft Word and Microsoft Access, a Sybase ODBC driver, and the Adobe Acrobat PDF writer, along with a substantial amount of Visual Basic, to generate a variety of documents for the internal Space Telescope Grants Administration System (STGMS). While investigating an upgrade to Microsoft Office XP, we began considering alternatives, ultimately selecting an open source product, OpenOffice.org. This reduces the total number of products required to operate the internal STGMS system, simplifies the build system, and opens the possibility of moving to a non-Windows platform. We describe the experience of moving from Microsoft Office to OpenOffice.org, and our other internal uses of OpenOffice.org in our development environment.

  19. Graph-based word sense disambiguation of biomedical documents.

    PubMed

    Agirre, Eneko; Soroa, Aitor; Stevenson, Mark

    2010-11-15

    Word Sense Disambiguation (WSD), automatically identifying the meaning of ambiguous words in context, is an important stage of text processing. This article presents a graph-based approach to WSD in the biomedical domain. The method is unsupervised and does not require any labeled training data. It makes use of knowledge from the Unified Medical Language System (UMLS) Metathesaurus which is represented as a graph. A state-of-the-art algorithm, Personalized PageRank, is used to perform WSD. When evaluated on the NLM-WSD dataset, the algorithm outperforms other methods that rely on the UMLS Metathesaurus alone. The WSD system is open source licensed and available from http://ixa2.si.ehu.es/ukb/. The UMLS, MetaMap program and NLM-WSD corpus are available from the National Library of Medicine https://www.nlm.nih.gov/research/umls/, http://mmtx.nlm.nih.gov and http://wsd.nlm.nih.gov. Software to convert the NLM-WSD corpus into a format that can be used by our WSD system is available from http://www.dcs.shef.ac.uk/∼marks/biomedical_wsd under open source license.

  20. 76 FR 58101 - Electric Reliability Organization Interpretation of Transmission Operations Reliability Standard

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-09-20

    ... on reh'g & compliance, 117 FERC ] 61,126 (2006), aff'd sub nom. Alcoa, Inc. v. FERC, 564 F.3d 1342 (D... persons an opportunity to view and/or print the contents of this document via the Internet through FERC's... document is available on eLibrary in PDF and Microsoft Word format for viewing, printing, and/or...

  1. Baby's first 10 words.

    PubMed

    Tardif, Twila; Fletcher, Paul; Liang, Weilan; Zhang, Zhixiang; Kaciroti, Niko; Marchman, Virginia A

    2008-07-01

    Although there has been much debate over the content of children's first words, few large sample studies address this question for children at the very earliest stages of word learning. The authors report data from comparable samples of 265 English-, 336 Putonghua- (Mandarin), and 369 Cantonese-speaking 8- to 16-month-old infants whose caregivers completed MacArthur-Bates Communicative Development Inventories and reported them to produce between 1 and 10 words. Analyses of individual words indicated striking commonalities in the first words that children learn. However, substantive cross-linguistic differences appeared in the relative prevalence of common nouns, people terms, and verbs as well as in the probability that children produced even one of these word types when they had a total of 1-3, 4-6, or 7-10 words in their vocabularies. These data document cross-linguistic differences in the types of words produced even at the earliest stages of vocabulary learning and underscore the importance of parental input and cross-linguistic/cross-cultural variations in children's early word-learning.

  2. The military health system's personal health record pilot with Microsoft HealthVault and Google Health.

    PubMed

    Do, Nhan V; Barnhill, Rick; Heermann-Do, Kimberly A; Salzman, Keith L; Gimbel, Ronald W

    2011-01-01

    To design, build, implement, and evaluate a personal health record (PHR), tethered to the Military Health System, that leverages Microsoft® HealthVault and Google® Health infrastructure based on user preference. A pilot project was conducted in 2008-2009 at Madigan Army Medical Center in Tacoma, Washington. Our PHR was architected to a flexible platform that incorporated standards-based models of Continuity of Document and Continuity of Care Record to map Department of Defense-sourced health data, via a secure Veterans Administration data broker, to Microsoft® HealthVault and Google® Health based on user preference. The project design and implementation were guided by provider and patient advisory panels with formal user evaluation. The pilot project included 250 beneficiary users. Approximately 73.2% of users were < 65 years of age, and 38.4% were female. Of the users, 169 (67.6%) selected Microsoft® HealthVault, and 81 (32.4%) selected Google® Health as their PHR of preference. Sample evaluation of users reflected 100% (n = 60) satisfied with convenience of record access and 91.7% (n = 55) satisfied with overall functionality of PHR. Key lessons learned related to data-transfer decisions (push vs pull), purposeful delays in reporting sensitive information, understanding and mapping PHR use and clinical workflow, and decisions on information patients may choose to share with their provider. Currently PHRs are being viewed as empowering tools for patient activation. Design and implementation issues (eg, technical, organizational, information security) are substantial and must be thoughtfully approached. Adopting standards into design can enhance the national goal of portability and interoperability.

  3. SPEAKEASY HELP documents

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Fink, J.K.

    1972-07-01

    The HELP documents provide SPEAKEASY users with concise definitions of most of the words available in the current processors. In this report, the documents are given in a variety of formats to enable one to find specific information quickly. The bulk of this report consists of computer read-out of the HELP library via SPEAKEASY.

  4. Sub-word image clustering in Farsi printed books

    NASA Astrophysics Data System (ADS)

    Soheili, Mohammad Reza; Kabir, Ehsanollah; Stricker, Didier

    2015-02-01

    Most OCR systems are designed for the recognition of a single page. In case of unfamiliar font faces, low quality papers and degraded prints, the performance of these products drops sharply. However, an OCR system can use redundancy of word occurrences in large documents to improve recognition results. In this paper, we propose a sub-word image clustering method for the applications dealing with large printed documents. We assume that the whole document is printed by a unique unknown font with low quality print. Our proposed method finds clusters of equivalent sub-word images with an incremental algorithm. Due to the low print quality, we propose an image matching algorithm for measuring the distance between two sub-word images, based on Hamming distance and the ratio of the area to the perimeter of the connected components. We built a ground-truth dataset of more than 111000 sub-word images to evaluate our method. All of these images were extracted from an old Farsi book. We cluster all of these sub-words, including isolated letters and even punctuation marks. Then all centers of created clusters are labeled manually. We show that all sub-words of the book can be recognized with more than 99.7% accuracy by assigning the label of each cluster center to all of its members.

  5. Data Mining of Web-Based Documents on Social Networking Sites That Included Suicide-Related Words Among Korean Adolescents.

    PubMed

    Song, Juyoung; Song, Tae Min; Seo, Dong-Chul; Jin, Jae Hyun

    2016-12-01

    To investigate online search activity of suicide-related words in South Korean adolescents through data mining of social media Web sites as the suicide rate in South Korea is one of the highest in the world. Out of more than 2.35 billion posts for 2 years from January 1, 2011 to December 31, 2012 on 163 social media Web sites in South Korea, 99,693 suicide-related documents were retrieved by Crawler and analyzed using text mining and opinion mining. These data were further combined with monthly employment rate, monthly rental prices index, monthly youth suicide rate, and monthly number of reported bully victims to fit multilevel models as well as structural equation models. The link from grade pressure to suicide risk showed the largest standardized path coefficient (beta = .357, p < .001) in structural models and a significant random effect (p < .01) in multilevel models. Depression was a partial mediator between suicide risk and grade pressure, low body image, victims of bullying, and concerns about disease. The largest total effect was observed in the grade pressure to depression to suicide risk. The multilevel models indicate about 27% of the variance in the daily suicide-related word search activity is explained by month-to-month variations. A lower employment rate, a higher rental prices index, and more bullying were associated with an increased suicide-related word search activity. Academic pressure appears to be the biggest contributor to Korean adolescents' suicide risk. Real-time suicide-related word search activity monitoring and response system needs to be developed. Copyright © 2016 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

  6. Are Microsoft's Animated Interface Agents Helpful?

    ERIC Educational Resources Information Center

    Head, Allison J.

    1998-01-01

    Discusses interface agents and online help systems, focusing on Microsoft's animated office assistants. Highlights include intermediaries such as librarians in off-line reference problems; user complaints about online help systems; navigation problems; evaluation of the online office assistants; and categories of user queries to online help…

  7. Centroid-Based Document Classification Algorithms: Analysis & Experimental Results

    DTIC Science & Technology

    2000-03-06

    stories such as baseball, football , basketball, and Olympics. In the first category, most of the documents contain words Clinton and Lewinsky and hence...document. On the other hand, any of sports related words like baseball, football , and basketball appearing in a document will put the document in the...0.15 diseas 0.14 women 0.13 heart 0.12 drug 4 0.41 newspap 0.22 editor 0.19 advertis 0.14 media 0.13 peruvian 0.13 coverag 0.12 percent 0.12 journalist

  8. Creating an Interactive PDF

    ERIC Educational Resources Information Center

    Branzburg, Jeffrey

    2008-01-01

    There are many ways to begin a PDF document using Adobe Acrobat. The easiest and most popular way is to create the document in another application (such as Microsoft Word) and then use the Adobe Acrobat software to convert it to a PDF. In this article, the author describes how he used Acrobat's many tools in his project--an interactive…

  9. The military health system's personal health record pilot with Microsoft HealthVault and Google Health

    PubMed Central

    Barnhill, Rick; Heermann-Do, Kimberly A; Salzman, Keith L; Gimbel, Ronald W

    2011-01-01

    Objective To design, build, implement, and evaluate a personal health record (PHR), tethered to the Military Health System, that leverages Microsoft® HealthVault and Google® Health infrastructure based on user preference. Materials and methods A pilot project was conducted in 2008–2009 at Madigan Army Medical Center in Tacoma, Washington. Our PHR was architected to a flexible platform that incorporated standards-based models of Continuity of Document and Continuity of Care Record to map Department of Defense-sourced health data, via a secure Veterans Administration data broker, to Microsoft® HealthVault and Google® Health based on user preference. The project design and implementation were guided by provider and patient advisory panels with formal user evaluation. Results The pilot project included 250 beneficiary users. Approximately 73.2% of users were <65 years of age, and 38.4% were female. Of the users, 169 (67.6%) selected Microsoft® HealthVault, and 81 (32.4%) selected Google® Health as their PHR of preference. Sample evaluation of users reflected 100% (n=60) satisfied with convenience of record access and 91.7% (n=55) satisfied with overall functionality of PHR. Discussion Key lessons learned related to data-transfer decisions (push vs pull), purposeful delays in reporting sensitive information, understanding and mapping PHR use and clinical workflow, and decisions on information patients may choose to share with their provider. Conclusion Currently PHRs are being viewed as empowering tools for patient activation. Design and implementation issues (eg, technical, organizational, information security) are substantial and must be thoughtfully approached. Adopting standards into design can enhance the national goal of portability and interoperability. PMID:21292705

  10. Text-image alignment for historical handwritten documents

    NASA Astrophysics Data System (ADS)

    Zinger, S.; Nerbonne, J.; Schomaker, L.

    2009-01-01

    We describe our work on text-image alignment in context of building a historical document retrieval system. We aim at aligning images of words in handwritten lines with their text transcriptions. The images of handwritten lines are automatically segmented from the scanned pages of historical documents and then manually transcribed. To train automatic routines to detect words in an image of handwritten text, we need a training set - images of words with their transcriptions. We present our results on aligning words from the images of handwritten lines and their corresponding text transcriptions. Alignment based on the longest spaces between portions of handwriting is a baseline. We then show that relative lengths, i.e. proportions of words in their lines, can be used to improve the alignment results considerably. To take into account the relative word length, we define the expressions for the cost function that has to be minimized for aligning text words with their images. We apply right to left alignment as well as alignment based on exhaustive search. The quality assessment of these alignments shows correct results for 69% of words from 100 lines, or 90% of partially correct and correct alignments combined.

  11. A metric to search for relevant words

    NASA Astrophysics Data System (ADS)

    Zhou, Hongding; Slater, Gary W.

    2003-11-01

    We propose a new metric to evaluate and rank the relevance of words in a text. The method uses the density fluctuations of a word to compute an index that measures its degree of clustering. Highly significant words tend to form clusters, while common words are essentially uniformly spread in a text. If a word is not rare, the metric is stable when we move any individual occurrence of this word in the text. Furthermore, we prove that the metric always increases when words are moved to form larger clusters, or when several independent documents are merged. Using the Holy Bible as an example, we show that our approach reduces the significance of common words when compared to a recently proposed statistical metric.

  12. Improving Students' Word Analysis Skills by Implementing "Working with Words" from the Four Blocks of Literacy Program.

    ERIC Educational Resources Information Center

    Velasco, Kelly; Zizak, Amanda

    This report describes a program for improving word analysis skills in order to increase sight reading, reading accuracy, and fluency. The targeted population consisted of second and third graders in a suburban area close to a large metropolitan city in a Midwestern state. The problems of low word analysis skills were documented through Qualitative…

  13. Different Neural Correlates of Emotion-Label Words and Emotion-Laden Words: An ERP Study.

    PubMed

    Zhang, Juan; Wu, Chenggang; Meng, Yaxuan; Yuan, Zhen

    2017-01-01

    It is well-documented that both emotion-label words (e.g., sadness, happiness) and emotion-laden words (e.g., death, wedding) can induce emotion activation. However, the neural correlates of emotion-label words and emotion-laden words recognition have not been examined. The present study aimed to compare the underlying neural responses when processing the two kinds of words by employing event-related potential (ERP) measurements. Fifteen Chinese native speakers were asked to perform a lexical decision task in which they should judge whether a two-character compound stimulus was a real word or not. Results showed that (1) emotion-label words and emotion-laden words elicited similar P100 at the posteriors sites, (2) larger N170 was found for emotion-label words than for emotion-laden words at the occipital sites on the right hemisphere, and (3) negative emotion-label words elicited larger Late Positivity Complex (LPC) on the right hemisphere than on the left hemisphere while such effect was not found for emotion-laden words and positive emotion-label words. The results indicate that emotion-label words and emotion-laden words elicit different cortical responses at both early (N170) and late (LPC) stages. In addition, right hemisphere advantage for emotion-label words over emotion-laden words can be observed in certain time windows (i.e., N170 and LPC) while fails to be detected in some other time window (i.e., P100). The implications of the current findings for future emotion research were discussed.

  14. Different Neural Correlates of Emotion-Label Words and Emotion-Laden Words: An ERP Study

    PubMed Central

    Zhang, Juan; Wu, Chenggang; Meng, Yaxuan; Yuan, Zhen

    2017-01-01

    It is well-documented that both emotion-label words (e.g., sadness, happiness) and emotion-laden words (e.g., death, wedding) can induce emotion activation. However, the neural correlates of emotion-label words and emotion-laden words recognition have not been examined. The present study aimed to compare the underlying neural responses when processing the two kinds of words by employing event-related potential (ERP) measurements. Fifteen Chinese native speakers were asked to perform a lexical decision task in which they should judge whether a two-character compound stimulus was a real word or not. Results showed that (1) emotion-label words and emotion-laden words elicited similar P100 at the posteriors sites, (2) larger N170 was found for emotion-label words than for emotion-laden words at the occipital sites on the right hemisphere, and (3) negative emotion-label words elicited larger Late Positivity Complex (LPC) on the right hemisphere than on the left hemisphere while such effect was not found for emotion-laden words and positive emotion-label words. The results indicate that emotion-label words and emotion-laden words elicit different cortical responses at both early (N170) and late (LPC) stages. In addition, right hemisphere advantage for emotion-label words over emotion-laden words can be observed in certain time windows (i.e., N170 and LPC) while fails to be detected in some other time window (i.e., P100). The implications of the current findings for future emotion research were discussed. PMID:28983242

  15. 78 FR 66675 - Endangered and Threatened Wildlife; 90-Day Finding on a Petition To List Multiple Species of...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-11-06

    ... to electronic comments will be accepted in Microsoft Word, Excel, or Adobe PDF file formats only... this document, identified by the code NOAA-NMFS-2013-0150, by any of the following methods: Electronic Submissions: Submit all electronic comments via the Federal eRulemaking Portal. Go to www.regulations.gov...

  16. 78 FR 65431 - Notice of Funds Availability (NOFA) Inviting Applications for the Community Development Financial...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-10-31

    ... form; (2) a Microsoft Excel Workbook; (3) a Microsoft Word Narrative template; and (4) other mandatory attachments. (Applicants must use the Microsoft Word Narrative template the CDFI Fund provides; alternative...

  17. 75 FR 14401 - Amendment of Certain of the Commission's Rules of Practice and Procedure and Rules of Commission...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-03-25

    ... were created, such as Microsoft Excel, Microsoft Word, or Microsoft PowerPoint (``native format'')? We... (condensed) or expanded (detailed) format Export search results to Excel or PDF As noted above, system is...., Microsoft Word ``.doc'' format or non-copy protected text- searchable ``.pdf'' format)? Should submissions...

  18. 78 FR 78363 - Notice of Request for Comments on Chapters 6 and 8 of the NIOSH document titled: “Criteria for a...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-12-26

    ... formatted as Microsoft Word. Please make reference to CDC-2013-0021 and Docket Number NIOSH 245-A. To access... DEPARTMENT OF HEALTH AND HUMAN SERVICES Centers for Disease Control and Prevention [CDC-2013-0021... materials, visit http://www.regulations.gov and enter CDC-2013- 0021 in the search field and click ``Search...

  19. A Microsoft Project-Based Planning, Tracking, and Management Tool for the National Transonic Facility's Model Changeover Process

    NASA Technical Reports Server (NTRS)

    Vairo, Daniel M.

    1998-01-01

    The removal and installation of sting-mounted wind tunnel models in the National Transonic Facility (NTF) is a multi-task process having a large impact on the annual throughput of the facility. Approximately ten model removal and installation cycles occur annually at the NTF with each cycle requiring slightly over five days to complete. The various tasks of the model changeover process were modeled in Microsoft Project as a template to provide a planning, tracking, and management tool. The template can also be used as a tool to evaluate improvements to this process. This document describes the development of the template and provides step-by-step instructions on its use and as a planning and tracking tool. A secondary role of this document is to provide an overview of the model changeover process and briefly describe the tasks associated with it.

  20. The present status and problems in document retrieval system : document input type retrieval system

    NASA Astrophysics Data System (ADS)

    Inagaki, Hirohito

    The office-automation (OA) made many changes. Many documents were begun to maintained in an electronic filing system. Therefore, it is needed to establish efficient document retrieval system to extract useful information. Current document retrieval systems are using simple word-matching, syntactic-matching, semantic-matching to obtain high retrieval efficiency. On the other hand, the document retrieval systems using special hardware devices, such as ISSP, were developed for aiming high speed retrieval. Since these systems can accept a single sentence or keywords as input, it is difficult to explain searcher's request. We demonstrated document input type retrieval system, which can directly accept document as an input, and can search similar documents from document data-base.

  1. Working Together: Google Apps Goes to School

    ERIC Educational Resources Information Center

    Oishi, Lindsay

    2007-01-01

    Online collaboration and project-management tools allow people to work together without being in the same place at the same time. However, that is not all, Google Docs & Spreadsheets, for example, allows the creation of documents and spreadsheets just like in Microsoft Word and Excel, but with more collaborative capacity. Google Calendar lets…

  2. 77 FR 4891 - Technical Corrections to Commission Regulations

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-02-01

    ... removes 18 CFR 4.34(b)(5)(iv) concerning new requests for water quality certification if an application to... material adverse impact on the water quality in the discharge from the project or proposed project. The... PDF and Microsoft Word format for viewing, printing, and/or downloading. To access this document in e...

  3. Using Microsoft Excel to Generate Usage Statistics

    ERIC Educational Resources Information Center

    Spellman, Rosemary

    2011-01-01

    At the Libraries Service Center, statistics are generated on a monthly, quarterly, and yearly basis by using four Microsoft Excel workbooks. These statistics provide information about what materials are being requested and by whom. They also give details about why certain requests may not have been filled. Utilizing Excel allows for a shallower…

  4. Challenges in Database Design with Microsoft Access

    ERIC Educational Resources Information Center

    Letkowski, Jerzy

    2014-01-01

    Design, development and explorations of databases are popular topics covered in introductory courses taught at business schools. Microsoft Access is the most popular software used in those courses. Despite quite high complexity of Access, it is considered to be one of the most friendly database programs for beginners. A typical Access textbook…

  5. A Tale of Two Observing Systems: Interoperability in the World of Microsoft Windows

    NASA Astrophysics Data System (ADS)

    Babin, B. L.; Hu, L.

    2008-12-01

    Louisiana Universities Marine Consortium's (LUMCON) and Dauphin Island Sea Lab's (DISL) Environmental Monitoring System provide a unified coastal ocean observing system. These two systems are mirrored to maintain autonomy while offering an integrated data sharing environment. Both systems collect data via Campbell Scientific Data loggers, store the data in Microsoft SQL servers, and disseminate the data in real- time on the World Wide Web via Microsoft Internet Information Servers and Active Server Pages (ASP). The utilization of Microsoft Windows technologies presented many challenges to these observing systems as open source tools for interoperability grow. The current open source tools often require the installation of additional software. In order to make data available through common standards formats, "home grown" software has been developed. One example of this is the development of software to generate xml files for transmission to the National Data Buoy Center (NDBC). OOSTethys partners develop, test and implement easy-to-use, open-source, OGC-compliant software., and have created a working prototype of networked, semantically interoperable, real-time data systems. Partnering with OOSTethys, we are developing a cookbook to implement OGC web services. The implementation will be written in ASP, will run in a Microsoft operating system environment, and will serve data via Sensor Observation Services (SOS). This cookbook will give observing systems running Microsoft Windows the tools to easily participate in the Open Geospatial Consortium (OGC) Oceans Interoperability Experiment (OCEANS IE).

  6. LICSS - a chemical spreadsheet in microsoft excel.

    PubMed

    Lawson, Kevin R; Lawson, Jonty

    2012-02-02

    Representations of chemical datasets in spreadsheet format are important for ready data assimilation and manipulation. In addition to the normal spreadsheet facilities, chemical spreadsheets need to have visualisable chemical structures and data searchable by chemical as well as textual queries. Many such chemical spreadsheet tools are available, some operating in the familiar Microsoft Excel environment. However, within this group, the performance of Excel is often compromised, particularly in terms of the number of compounds which can usefully be stored on a sheet. LICSS is a lightweight chemical spreadsheet within Microsoft Excel for Windows. LICSS stores structures solely as Smiles strings. Chemical operations are carried out by calling Java code modules which use the CDK, JChemPaint and OPSIN libraries to provide cheminformatics functionality. Compounds in sheets or charts may be visualised (individually or en masse), and sheets may be searched by substructure or similarity. All the molecular descriptors available in CDK may be calculated for compounds (in batch or on-the-fly), and various cheminformatic operations such as fingerprint calculation, Sammon mapping, clustering and R group table creation may be carried out.We detail here the features of LICSS and how they are implemented. We also explain the design criteria, particularly in terms of potential corporate use, which led to this particular implementation. LICSS is an Excel-based chemical spreadsheet with a difference:• It can usefully be used on sheets containing hundreds of thousands of compounds; it doesn't compromise the normal performance of Microsoft Excel• It is designed to be installed and run in environments in which users do not have admin privileges; installation involves merely file copying, and sharing of LICSS sheets invokes automatic installation• It is free and extensibleLICSS is open source software and we hope sufficient detail is provided here to enable developers to add their

  7. Where Big-City Schools Meet "Microsoft Smarts"

    ERIC Educational Resources Information Center

    Borja, Rhea R.

    2006-01-01

    This article talks about a new school built, which is called "School of the Future," which was born of a partnership between the Philadelphia public schools and the world's leading software-maker, Microsoft Corp. A gleaming white building on the edge of a blighted West Philadelphia neighborhood, the $62 million school garnered wide attention when…

  8. The concurrent validity and intrarater reliability of the Microsoft Kinect to measure thoracic kyphosis.

    PubMed

    Quek, June; Brauer, Sandra G; Treleaven, Julia; Clark, Ross A

    2017-09-01

    This study aims to investigate the concurrent validity and intrarater reliability of the Microsoft Kinect to measure thoracic kyphosis against the Flexicurve. Thirty-three healthy individuals (age: 31±11.0 years, men: 17, height: 170.2±8.2 cm, weight: 64.2±12.0 kg) participated, with 29 re-examined for intrarater reliability 1-7 days later. Thoracic kyphosis was measured using the Flexicurve and the Microsoft Kinect consecutively in both standing and sitting positions. Both the kyphosis index and angle were calculated. The Microsoft Kinect showed excellent concurrent validity (intraclass correlation coefficient=0.76-0.82) and reliability (intraclass correlation coefficient=0.81-0.98) for measuring thoracic kyphosis (angle and index) in both standing and sitting postures. This study is the first to show that the Microsoft Kinect has excellent validity and intrarater reliability to measure thoracic kyphosis, which is promising for its use in the clinical setting.

  9. Validity of the Microsoft Kinect for assessment of postural control.

    PubMed

    Clark, Ross A; Pua, Yong-Hao; Fortin, Karine; Ritchie, Callan; Webster, Kate E; Denehy, Linda; Bryant, Adam L

    2012-07-01

    Clinically feasible methods of assessing postural control such as timed standing balance and functional reach tests provide important information, however, they cannot accurately quantify specific postural control mechanisms. The Microsoft Kinect™ system provides real-time anatomical landmark position data in three dimensions (3D), and given that it is inexpensive, portable and simple to setup it may bridge this gap. This study assessed the concurrent validity of the Microsoft Kinect™ against a benchmark reference, a multiple-camera 3D motion analysis system, in 20 healthy subjects during three postural control tests: (i) forward reach, (ii) lateral reach, and (iii) single-leg eyes-closed standing balance. For the reach tests, the outcome measures consisted of distance reached and trunk flexion angle in the sagittal (forward reach) and coronal (lateral reach) planes. For the standing balance test the range and deviation of movement in the anatomical landmark positions for the sternum, pelvis, knee and ankle and the lateral and anterior trunk flexion angle were assessed. The Microsoft Kinect™ and 3D motion analysis systems had comparable inter-trial reliability (ICC difference=0.06±0.05; range, 0.00-0.16) and excellent concurrent validity, with Pearson's r-values >0.90 for the majority of measurements (r=0.96±0.04; range, 0.84-0.99). However, ordinary least products analyses demonstrated proportional biases for some outcome measures associated with the pelvis and sternum. These findings suggest that the Microsoft Kinect™ can validly assess kinematic strategies of postural control. Given the potential benefits it could therefore become a useful tool for assessing postural control in the clinical setting. Copyright © 2012 Elsevier B.V. All rights reserved.

  10. Identification of misspelled words without a comprehensive dictionary using prevalence analysis.

    PubMed

    Turchin, Alexander; Chu, Julia T; Shubina, Maria; Einbinder, Jonathan S

    2007-10-11

    Misspellings are common in medical documents and can be an obstacle to information retrieval. We evaluated an algorithm to identify misspelled words through analysis of their prevalence in a representative body of text. We evaluated the algorithm's accuracy of identifying misspellings of 200 anti-hypertensive medication names on 2,000 potentially misspelled words randomly selected from narrative medical documents. Prevalence ratios (the frequency of the potentially misspelled word divided by the frequency of the non-misspelled word) in physician notes were computed by the software for each of the words. The software results were compared to the manual assessment by an independent reviewer. Area under the ROC curve for identification of misspelled words was 0.96. Sensitivity, specificity, and positive predictive value were 99.25%, 89.72% and 82.9% for the prevalence ratio threshold (0.32768) with the highest F-measure (0.903). Prevalence analysis can be used to identify and correct misspellings with high accuracy.

  11. ScreenRecorder: A Utility for Creating Screenshot Video Using Only Original Equipment Manufacturer (OEM) Software on Microsoft Windows Systems

    DTIC Science & Technology

    2015-01-01

    class within Microsoft Visual Studio . 2 It has been tested on and is compatible with Microsoft Vista, 7, and 8 and Visual Studio Express 2008...the ScreenRecorder utility assumes a basic understanding of compiling and running C++ code within Microsoft Visual Studio . This report does not...of Microsoft Visual Studio , the ScreenRecorder utility was developed as a C++ class that can be compiled as a library (static or dynamic) to be

  12. Creating single-subject design graphs in Microsoft Excel 2007.

    PubMed

    Dixon, Mark R; Jackson, James W; Small, Stacey L; Horner-King, Mollie J; Lik, Nicholas Mui Ker; Garcia, Yors; Rosales, Rocio

    2009-01-01

    Over 10 years have passed since the publication of Carr and Burkholder's (1998) technical article on how to construct single-subject graphs using Microsoft Excel. Over the course of the past decade, the Excel program has undergone a series of revisions that make the Carr and Burkholder paper somewhat difficult to follow with newer versions. The present article provides task analyses for constructing various types of commonly used single-subject design graphs in Microsoft Excel 2007. The task analyses were evaluated using a between-subjects design that compared the graphing skills of 22 behavior-analytic graduate students using Excel 2007 and either the Carr and Burkholder or newly developed task analyses. Results indicate that the new task analyses yielded more accurate and faster graph construction than the Carr and Burkholder instructions.

  13. CREATING SINGLE-SUBJECT DESIGN GRAPHS IN MICROSOFT EXCELTM 2007

    PubMed Central

    Dixon, Mark R; Jackson, James W; Small, Stacey L; Horner-King, Mollie J; Lik, Nicholas Mui Ker; Garcia, Yors; Rosales, Rocio

    2009-01-01

    Over 10 years have passed since the publication of Carr and Burkholder's (1998) technical article on how to construct single-subject graphs using Microsoft Excel. Over the course of the past decade, the Excel program has undergone a series of revisions that make the Carr and Burkholder paper somewhat difficult to follow with newer versions. The present article provides task analyses for constructing various types of commonly used single-subject design graphs in Microsoft Excel 2007. The task analyses were evaluated using a between-subjects design that compared the graphing skills of 22 behavior-analytic graduate students using Excel 2007 and either the Carr and Burkholder or newly developed task analyses. Results indicate that the new task analyses yielded more accurate and faster graph construction than the Carr and Burkholder instructions. PMID:19949515

  14. Words, concepts, or both: optimal indexing units for automated information retrieval.

    PubMed Central

    Hersh, W. R.; Hickam, D. H.; Leone, T. J.

    1992-01-01

    What is the best way to represent the content of documents in an information retrieval system? This study compares the retrieval effectiveness of five different methods for automated (machine-assigned) indexing using three test collections. The consistently best methods are those that use indexing based on the words that occur in the available text of each document. Methods used to map text into concepts from a controlled vocabulary showed no advantage over the word-based methods. This study also looked at an approach to relevance feedback which showed benefit for both word-based and concept-based methods. PMID:1482951

  15. PETRO.CALC.PLOT, Microsoft Excel macros to aid petrologic interpretation

    USGS Publications Warehouse

    Sidder, G.B.

    1994-01-01

    PETRO.CALC.PLOT is a package of macros which normalizes whole-rock oxide data to 100%, calculates the cation percentages and molecular proportions used for normative mineral calculations, computes the apices for ternary diagrams, determines sums and ratios of specific elements of petrologic interest, and plots 33 X-Y graphs and five ternary diagrams. PETRO.CALC.PLOT also may be used to create other diagrams as desired by the user. The macros run in Microsoft Excel 3.0 and 4.0 for Macintosh computers and in Microsoft Excel 3.0 and 4.0 for Windows. Macros provided in PETRO.CALC.PLOT minimize repetition and time required to recalculate and plot whole-rock oxide data for petrologic analysis. ?? 1994.

  16. 77 FR 7526 - Interpretation of Protection System Reliability Standard

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-02-13

    ... reh'g & compliance, 117 FERC ] 61,126 (2006), aff'd sub nom. Alcoa, Inc. v. FERC, 564 F.3d 1342 (D.C... opportunity to view and/or print the contents of this document via the Internet through FERC's Home Page... available on eLibrary in PDF and Microsoft Word format for viewing, printing, and/or downloading. To access...

  17. Engineering Documentation and Data Control

    NASA Technical Reports Server (NTRS)

    Matteson, Michael J.; Bramley, Craig; Ciaruffoli, Veronica

    2001-01-01

    Mississippi Space Services (MSS) the facility services contractor for NASA's John C. Stennis Space Center (SSC), is utilizing technology to improve engineering documentation and data control. Two identified improvement areas, labor intensive documentation research and outdated drafting standards, were targeted as top priority. MSS selected AutoManager(R) WorkFlow from Cyco software to manage engineering documentation. The software is currently installed on over 150 desctops. The outdated SSC drafting standard was written for pre-CADD drafting methods, in other words, board drafting. Implementation of COTS software solutions to manage engineering documentation and update the drafting standard resulted in significant increases in productivity by reducing the time spent searching for documents.

  18. An add-in implementation of the RESAMPLING syntax under Microsoft EXCEL.

    PubMed

    Meineke, I

    2000-10-01

    The RESAMPLING syntax defines a set of powerful commands, which allow the programming of probabilistic statistical models with few, easily memorized statements. This paper presents an implementation of the RESAMPLING syntax using Microsoft EXCEL with Microsoft WINDOWS(R) as a platform. Two examples are given to demonstrate typical applications of RESAMPLING in biomedicine. Details of the implementation with special emphasis on the programming environment are discussed at length. The add-in is available electronically to interested readers upon request. The use of the add-in facilitates numerical statistical analyses of data from within EXCEL in a comfortable way.

  19. Words, words, words!

    NASA Astrophysics Data System (ADS)

    2015-09-01

    Words matter. They are the "atoms" of written and oral communication. Students rely on words in textbooks and other instructional resources and in classroom lectures and discussions. As instructors, there are times when we need to think carefully about the words we use. Sometimes there are problems that may not be initially apparent and we may introduce confusion when we were aiming for clarity.

  20. Application of Microsoft's ActiveX and DirectX technologies to the visulization of physical system dynamics

    NASA Astrophysics Data System (ADS)

    Mann, Christopher; Narasimhamurthi, Natarajan

    1998-08-01

    This paper discusses a specific implementation of a web and complement based simulation systems. The overall simulation container is implemented within a web page viewed with Microsoft's Internet Explorer 4.0 web browser. Microsoft's ActiveX/Distributed Component Object Model object interfaces are used in conjunction with the Microsoft DirectX graphics APIs to provide visualization functionality for the simulation. The MathWorks' Matlab computer aided control system design program is used as an ActiveX automation server to provide the compute engine for the simulations.

  1. The Microsoft Biology Foundation Applications for High-Throughput Sequencing

    PubMed Central

    Mercer, S.

    2010-01-01

    w9-2 The need for reusable libraries of bioinformatics functions has been recognized for many years and a number of language-specific toolkits have been constructed. Such toolkits have served as valuable nucleation points for the community, promoting the sharing of code and establishing standards. The majority of DNA sequencing machines and many other standard pieces of lab equipment are controlled by PCs using Windows, and a Microsoft genomics toolkit would enable initial processing and quality control to happen closer to the instrumentation and provide opportunities for added-value services within core facilities. The Microsoft Biology Foundation (MBF) is an open source software library, freely available for both commercial and academic use, available as an early-stage betafrom mbf.codeplex.com. This presentation will describe the structure and goals of MBF and demonstrate some of its uses.

  2. Are implicit motives revealed in mere words? Testing the marker-word hypothesis with computer-based text analysis

    PubMed Central

    Schultheiss, Oliver C.

    2013-01-01

    Traditionally, implicit motives (i.e., non-conscious preferences for specific classes of incentives) are assessed through semantic coding of imaginative stories. The present research tested the marker-word hypothesis, which states that implicit motives are reflected in the frequencies of specific words. Using Linguistic Inquiry and Word Count (LIWC; Pennebaker et al., 2001), Study 1 identified word categories that converged with a content-coding measure of the implicit motives for power, achievement, and affiliation in picture stories collected in German and US student samples, showed discriminant validity with self-reported motives, and predicted well-validated criteria of implicit motives (gender difference for the affiliation motive; in interaction with personal-goal progress: emotional well-being). Study 2 demonstrated LIWC-based motive scores' causal validity by documenting their sensitivity to motive arousal. PMID:24137149

  3. Clustering of Farsi sub-word images for whole-book recognition

    NASA Astrophysics Data System (ADS)

    Soheili, Mohammad Reza; Kabir, Ehsanollah; Stricker, Didier

    2015-01-01

    Redundancy of word and sub-word occurrences in large documents can be effectively utilized in an OCR system to improve recognition results. Most OCR systems employ language modeling techniques as a post-processing step; however these techniques do not use important pictorial information that exist in the text image. In case of large-scale recognition of degraded documents, this information is even more valuable. In our previous work, we proposed a subword image clustering method for the applications dealing with large printed documents. In our clustering method, the ideal case is when all equivalent sub-word images lie in one cluster. To overcome the issues of low print quality, the clustering method uses an image matching algorithm for measuring the distance between two sub-word images. The measured distance with a set of simple shape features were used to cluster all sub-word images. In this paper, we analyze the effects of adding more shape features on processing time, purity of clustering, and the final recognition rate. Previously published experiments have shown the efficiency of our method on a book. Here we present extended experimental results and evaluate our method on another book with totally different font face. Also we show that the number of the new created clusters in a page can be used as a criteria for assessing the quality of print and evaluating preprocessing phases.

  4. Visualization and Analysis of Geology Word Vectors for Efficient Information Extraction

    NASA Astrophysics Data System (ADS)

    Floyd, J. S.

    2016-12-01

    When a scientist begins studying a new geographic region of the Earth, they frequently begin by gathering relevant scientific literature in order to understand what is known, for example, about the region's geologic setting, structure, stratigraphy, and tectonic and environmental history. Experienced scientists typically know what keywords to seek and understand that if a document contains one important keyword, then other words in the document may be important as well. Word relationships in a document give rise to what is known in linguistics as the context-dependent nature of meaning. For example, the meaning of the word `strike' in geology, as in the strike of a fault, is quite different from its popular meaning in baseball. In addition, word order, such as in the phrase `Cretaceous-Tertiary boundary,' often corresponds to the order of sequences in time or space. The context of words and the relevance of words to each other can be derived quantitatively by machine learning vector representations of words. Here we show the results of training a neural network to create word vectors from scientific research papers from selected rift basins and mid-ocean ridges: the Woodlark Basin of Papua New Guinea, the Hess Deep rift, and the Gulf of Mexico basin. The word vectors are statistically defined by surrounding words within a given window, limited by the length of each sentence. The word vectors are analyzed by their cosine distance to related words (e.g., `axial' and `magma'), classified by high dimensional clustering, and visualized by reducing the vector dimensions and plotting the vectors on a two- or three-dimensional graph. Similarity analysis of `Triassic' and `Cretaceous' returns `Jurassic' as the nearest word vector, suggesting that the model is capable of learning the geologic time scale. Similarity analysis of `basalt' and `minerals' automatically returns mineral names such as `chlorite', `plagioclase,' and `olivine.' Word vector analysis and visualization

  5. LICSS - a chemical spreadsheet in microsoft excel

    PubMed Central

    2012-01-01

    Background Representations of chemical datasets in spreadsheet format are important for ready data assimilation and manipulation. In addition to the normal spreadsheet facilities, chemical spreadsheets need to have visualisable chemical structures and data searchable by chemical as well as textual queries. Many such chemical spreadsheet tools are available, some operating in the familiar Microsoft Excel environment. However, within this group, the performance of Excel is often compromised, particularly in terms of the number of compounds which can usefully be stored on a sheet. Summary LICSS is a lightweight chemical spreadsheet within Microsoft Excel for Windows. LICSS stores structures solely as Smiles strings. Chemical operations are carried out by calling Java code modules which use the CDK, JChemPaint and OPSIN libraries to provide cheminformatics functionality. Compounds in sheets or charts may be visualised (individually or en masse), and sheets may be searched by substructure or similarity. All the molecular descriptors available in CDK may be calculated for compounds (in batch or on-the-fly), and various cheminformatic operations such as fingerprint calculation, Sammon mapping, clustering and R group table creation may be carried out. We detail here the features of LICSS and how they are implemented. We also explain the design criteria, particularly in terms of potential corporate use, which led to this particular implementation. Conclusions LICSS is an Excel-based chemical spreadsheet with a difference: • It can usefully be used on sheets containing hundreds of thousands of compounds; it doesn't compromise the normal performance of Microsoft Excel • It is designed to be installed and run in environments in which users do not have admin privileges; installation involves merely file copying, and sharing of LICSS sheets invokes automatic installation • It is free and extensible LICSS is open source software and we hope sufficient detail is provided

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

    PubMed Central

    Arras, Leila; Horn, Franziska; Montavon, Grégoire; Müller, Klaus-Robert

    2017-01-01

    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. PMID:28800619

  7. Automatic generation of stop word lists for information retrieval and analysis

    DOEpatents

    Rose, Stuart J

    2013-01-08

    Methods and systems for automatically generating lists of stop words for information retrieval and analysis. Generation of the stop words can include providing a corpus of documents and a plurality of keywords. From the corpus of documents, a term list of all terms is constructed and both a keyword adjacency frequency and a keyword frequency are determined. If a ratio of the keyword adjacency frequency to the keyword frequency for a particular term on the term list is less than a predetermined value, then that term is excluded from the term list. The resulting term list is truncated based on predetermined criteria to form a stop word list.

  8. Semantic Similarity between Web Documents Using Ontology

    NASA Astrophysics Data System (ADS)

    Chahal, Poonam; Singh Tomer, Manjeet; Kumar, Suresh

    2018-06-01

    The World Wide Web is the source of information available in the structure of interlinked web pages. However, the procedure of extracting significant information with the assistance of search engine is incredibly critical. This is for the reason that web information is written mainly by using natural language, and further available to individual human. Several efforts have been made in semantic similarity computation between documents using words, concepts and concepts relationship but still the outcome available are not as per the user requirements. This paper proposes a novel technique for computation of semantic similarity between documents that not only takes concepts available in documents but also relationships that are available between the concepts. In our approach documents are being processed by making ontology of the documents using base ontology and a dictionary containing concepts records. Each such record is made up of the probable words which represents a given concept. Finally, document ontology's are compared to find their semantic similarity by taking the relationships among concepts. Relevant concepts and relations between the concepts have been explored by capturing author and user intention. The proposed semantic analysis technique provides improved results as compared to the existing techniques.

  9. Semantic Similarity between Web Documents Using Ontology

    NASA Astrophysics Data System (ADS)

    Chahal, Poonam; Singh Tomer, Manjeet; Kumar, Suresh

    2018-03-01

    The World Wide Web is the source of information available in the structure of interlinked web pages. However, the procedure of extracting significant information with the assistance of search engine is incredibly critical. This is for the reason that web information is written mainly by using natural language, and further available to individual human. Several efforts have been made in semantic similarity computation between documents using words, concepts and concepts relationship but still the outcome available are not as per the user requirements. This paper proposes a novel technique for computation of semantic similarity between documents that not only takes concepts available in documents but also relationships that are available between the concepts. In our approach documents are being processed by making ontology of the documents using base ontology and a dictionary containing concepts records. Each such record is made up of the probable words which represents a given concept. Finally, document ontology's are compared to find their semantic similarity by taking the relationships among concepts. Relevant concepts and relations between the concepts have been explored by capturing author and user intention. The proposed semantic analysis technique provides improved results as compared to the existing techniques.

  10. Document image cleanup and binarization

    NASA Astrophysics Data System (ADS)

    Wu, Victor; Manmatha, Raghaven

    1998-04-01

    Image binarization is a difficult task for documents with text over textured or shaded backgrounds, poor contrast, and/or considerable noise. Current optical character recognition (OCR) and document analysis technology do not handle such documents well. We have developed a simple yet effective algorithm for document image clean-up and binarization. The algorithm consists of two basic steps. In the first step, the input image is smoothed using a low-pass filter. The smoothing operation enhances the text relative to any background texture. This is because background texture normally has higher frequency than text does. The smoothing operation also removes speckle noise. In the second step, the intensity histogram of the smoothed image is computed and a threshold automatically selected as follows. For black text, the first peak of the histogram corresponds to text. Thresholding the image at the value of the valley between the first and second peaks of the histogram binarizes the image well. In order to reliably identify the valley, the histogram is smoothed by a low-pass filter before the threshold is computed. The algorithm has been applied to some 50 images from a wide variety of source: digitized video frames, photos, newspapers, advertisements in magazines or sales flyers, personal checks, etc. There are 21820 characters and 4406 words in these images. 91 percent of the characters and 86 percent of the words are successfully cleaned up and binarized. A commercial OCR was applied to the binarized text when it consisted of fonts which were OCR recognizable. The recognition rate was 84 percent for the characters and 77 percent for the words.

  11. Words, Words, Words: English, Vocabulary.

    ERIC Educational Resources Information Center

    Lamb, Barbara

    The Quinmester course on words gives the student the opportunity to increase his proficiency by investigating word origins, word histories, morphology, and phonology. The course includes the following: dictionary skills and familiarity with the "Oxford,""Webster's Third," and "American Heritage" dictionaries; word…

  12. Word Spotting and Recognition with Embedded Attributes.

    PubMed

    Almazán, Jon; Gordo, Albert; Fornés, Alicia; Valveny, Ernest

    2014-12-01

    This paper addresses the problems of word spotting and word recognition on images. In word spotting, the goal is to find all instances of a query word in a dataset of images. In recognition, the goal is to recognize the content of the word image, usually aided by a dictionary or lexicon. We describe an approach in which both word images and text strings are embedded in a common vectorial subspace. This is achieved by a combination of label embedding and attributes learning, and a common subspace regression. In this subspace, images and strings that represent the same word are close together, allowing one to cast recognition and retrieval tasks as a nearest neighbor problem. Contrary to most other existing methods, our representation has a fixed length, is low dimensional, and is very fast to compute and, especially, to compare. We test our approach on four public datasets of both handwritten documents and natural images showing results comparable or better than the state-of-the-art on spotting and recognition tasks.

  13. Software Re-Engineering of the Human Factors Analysis and Classification System - (Maintenance Extension) Using Object Oriented Methods in a Microsoft Environment

    DTIC Science & Technology

    2001-09-01

    replication) -- all from Visual Basic and VBA . In fact, we found that the SQL Server engine actually had a plethora of options, most formidable of...2002, the new SQL Server 2000 database engine, and Microsoft Visual Basic.NET. This thesis describes our use of the Spiral Development Model to...versions of Microsoft products? Specifically, the pending release of Microsoft Office 2002, the new SQL Server 2000 database engine, and Microsoft

  14. 78 FR 45542 - Request for Information: The National Institute of Environmental Health Sciences/National...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-07-29

    ... submitted electronically in Microsoft Excel or Word formats to [email protected] . FOR FURTHER... recommendations should be submitted electronically in Microsoft Excel or Word format. Respondents to this request...

  15. Microsoft Word - PufferAdvisory_TCH.docx

    Center for Food Safety and Applied Nutrition (CFSAN)

    ... 因應特殊情況， 每年進口至美國二至三次。 ， 由一家經美國食品藥物管理局／ 日本 政府協定， 所核可的紐約州進口商「 」 負責。 Wako International 這是 ...

  16. Aye, Aye, Aye, Aye: Orthography Enhances Rapid Word Reading in an Exploratory Study.

    ERIC Educational Resources Information Center

    Neuhaus, Graham F.; Post, Yolanda

    2003-01-01

    Uses a novel word-reading efficiency measure to determine if articulations or processing times associated with reading the word "aye" were enhanced through the phonological or orthographic qualities contained in the preceding word. Documents the importance of separating phonological and orthographic information in English homophones. (SG)

  17. Arabic word recognizer for mobile applications

    NASA Astrophysics Data System (ADS)

    Khanna, Nitin; Abdollahian, Golnaz; Brame, Ben; Boutin, Mireille; Delp, Edward J.

    2011-03-01

    When traveling in a region where the local language is not written using a "Roman alphabet," translating written text (e.g., documents, road signs, or placards) is a particularly difficult problem since the text cannot be easily entered into a translation device or searched using a dictionary. To address this problem, we are developing the "Rosetta Phone," a handheld device (e.g., PDA or mobile telephone) capable of acquiring an image of the text, locating the region (word) of interest within the image, and producing both an audio and a visual English interpretation of the text. This paper presents a system targeted for interpreting words written in Arabic script. The goal of this work is to develop an autonomous, segmentation-free Arabic phrase recognizer, with computational complexity low enough to deploy on a mobile device. A prototype of the proposed system has been deployed on an iPhone with a suitable user interface. The system was tested on a number of noisy images, in addition to the images acquired from the iPhone's camera. It identifies Arabic words or phrases by extracting appropriate features and assigning "codewords" to each word or phrase. On a dictionary of 5,000 words, the system uniquely mapped (word-image to codeword) 99.9% of the words. The system has a 82% recognition accuracy on images of words captured using the iPhone's built-in camera.

  18. 75 FR 7648 - Agency Information Collection Activities: Emergency Request

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-02-22

    ..., recipients, and representative payees: Braille and Microsoft Word files (on data compact discs). Current...) Braille, or (5) Microsoft Word. This call did not require OMB clearance. However, there may be respondents...

  19. The Case for an Open Data Model

    DTIC Science & Technology

    1998-08-01

    Microsoft Word, Pagemaker, and Framemaker , and the drawing programs MacDraw, Adobe Illustrator, and Microsoft PowerPoint, use their own proprietary...needs a custom word counting tool, since no utility could work in Word and other word processors. Framemaker for Windows does not have a word counting...supplied in 2 At least none that I could find in Framemaker 5.5 for Windows. Another problem with

  20. Libraries Online!: Microsoft Partnering with American Library Association (ALA).

    ERIC Educational Resources Information Center

    Machovec, George S., Ed.

    1995-01-01

    Describes Libraries Online, a pilot project created by Microsoft and the American Library Association to develop ways to provide access to information technologies to underserved populations. Presents the nine public libraries that will receive cash grants, staff training, computer hardware and software, and technical support to help support local…

  1. Enhancement of Text Representations Using Related Document Titles.

    ERIC Educational Resources Information Center

    Salton, G.; Zhang, Y.

    1986-01-01

    Briefly reviews various methodologies for constructing enhanced document representations, discusses their general lack of usefulness, and describes a method of document indexing which uses title words taken from bibliographically related items. Evaluation of this process indicates that it is not sufficiently reliable to warrant incorporation into…

  2. Transnational Private Authority in Education Policy in Jordan and South Africa: The Case of Microsoft Corporation

    ERIC Educational Resources Information Center

    Bhanji, Zahra

    2012-01-01

    The purpose of this article is to explore Microsoft Corporation as a new international actor shaping educational reforms and practices. This study examines how the implementation of Microsoft's global Partners in Learning (PiL) program varied and was mediated by national politics and national institutional practices in two different contexts,…

  3. Image Annotation and Topic Extraction Using Super-Word Latent Dirichlet Allocation

    DTIC Science & Technology

    2013-09-01

    an image can be used to improve automated image annotation performance over existing generalized annotators. Second, image anno - 3 tations can be used...the other variables. The first ratio in the sampling Equation 2.18 uses word frequency by total words, φ̂ (w) j . The second ratio divides word...topics by total words in that document θ̂ (d) j . Both leave out the current assignment of zi and the results are used to randomly choose a new topic

  4. An Interactive Microsoft(registered tm) Excel Program for Tracking a Single Evaporating Droplet in Crossflow

    NASA Technical Reports Server (NTRS)

    Liew, K. H.; Urip, E.; Yang, S. L.; Marek, C. J.

    2004-01-01

    Droplet interaction with a high temperature gaseous crossflow is important because of its wide application in systems involving two phase mixing such as in combustion requiring quick mixing of fuel and air with the reduction of pollutants and for jet mixing in the dilution zone of combustors. Therefore, the focus of this work is to investigate dispersion of a two-dimensional atomized and evaporating spray jet into a two-dimensional crossflow. An interactive Microsoft Excel program for tracking a single droplet in crossflow that has previously been developed will be modified to include droplet evaporation computation. In addition to the high velocity airflow, the injected droplets are also subjected to combustor temperature and pressure that affect their motion in the flow field. Six ordinary differential equations are then solved by 4th-order Runge-Kutta method using Microsoft Excel software. Microsoft Visual Basic programming and Microsoft Excel macrocode are used to produce the data and plot graphs describing the droplet's motion in the flow field. This program computes and plots the data sequentially without forcing the user to open other types of plotting programs. A user's manual on how to use the program is included.

  5. Basic statistics with Microsoft Excel: a review.

    PubMed

    Divisi, Duilio; Di Leonardo, Gabriella; Zaccagna, Gino; Crisci, Roberto

    2017-06-01

    The scientific world is enriched daily with new knowledge, due to new technologies and continuous discoveries. The mathematical functions explain the statistical concepts particularly those of mean, median and mode along with those of frequency and frequency distribution associated to histograms and graphical representations, determining elaborative processes on the basis of the spreadsheet operations. The aim of the study is to highlight the mathematical basis of statistical models that regulate the operation of spreadsheets in Microsoft Excel.

  6. Basic statistics with Microsoft Excel: a review

    PubMed Central

    Di Leonardo, Gabriella; Zaccagna, Gino; Crisci, Roberto

    2017-01-01

    The scientific world is enriched daily with new knowledge, due to new technologies and continuous discoveries. The mathematical functions explain the statistical concepts particularly those of mean, median and mode along with those of frequency and frequency distribution associated to histograms and graphical representations, determining elaborative processes on the basis of the spreadsheet operations. The aim of the study is to highlight the mathematical basis of statistical models that regulate the operation of spreadsheets in Microsoft Excel. PMID:28740690

  7. Performance Measurements for the Microsoft Kinect Skeleton

    DTIC Science & Technology

    2012-03-01

    Information Inter- faces and Presentation]: User Interfaces—Input devices and strate- gies; 1 INTRODUCTION The Microsoft Kinect for Xbox 360 (“Kinect...these values. 2 MEASUREMENTS We conducted our tests on a machine configured with Windows 7 Ultimate (Service Pack 1) equipped with two Intel Core2...test. We tested with one , two, and three users present, although only two skeletons may be tracked. 2.1 Range We need to know how close and how far a

  8. Distinct ERP Signatures of Word Frequency, Phrase Frequency, and Prototypicality in Speech Production

    ERIC Educational Resources Information Center

    Hendrix, Peter; Bolger, Patrick; Baayen, Harald

    2017-01-01

    Recent studies have documented frequency effects for word n-grams, independently of word unigram frequency. Further studies have revealed constructional prototype effects, both at the word level as well as for phrases. The present speech production study investigates the time course of these effects for the production of prepositional phrases in…

  9. Illustrating the Central Limit Theorem through Microsoft Excel Simulations

    ERIC Educational Resources Information Center

    Moen, David H.; Powell, John E.

    2005-01-01

    Using Microsoft Excel, several interactive, computerized learning modules are developed to demonstrate the Central Limit Theorem. These modules are used in the classroom to enhance the comprehension of this theorem. The Central Limit Theorem is a very important theorem in statistics, and yet because it is not intuitively obvious, statistics…

  10. Educational Utilization of Microsoft Powerpoint for Oral and Maxillofacial Cancer Presentations.

    PubMed

    Carvalho, Francisco Samuel Rodrigues; Chaves, Filipe Nobre; Soares, Eduardo Costa Studart; Pereira, Karuza Maria Alves; Ribeiro, Thyciana Rodrigues; Fonteles, Cristiane Sa Roriz; Costa, Fabio Wildson Gurgel

    2016-01-01

    Electronic presentations have become useful tools for surgeons, other clinicians and patients, facilitating medical and legal support and scientific research. Microsoft® PowerPoint is by far and away the most commonly used computer-based presentation package. Setting up surgical clinical cases with PowerPoint makes it easy to register and follow patients for the purpose of discussion of treatment plan or scientific presentations. It facilitates communication between professionals, supervising clinical cases and teaching. It is often useful to create a template to standardize the presentation, offered by the software through the slide master. The purpose of this paper was to show a simple and practical method for creating a Microsoft® PowerPoint template for use in presentations concerning oral and maxillofacial cancer.

  11. Word form Encoding in Chinese Word Naming and Word Typing

    ERIC Educational Resources Information Center

    Chen, Jenn-Yeu; Li, Cheng-Yi

    2011-01-01

    The process of word form encoding was investigated in primed word naming and word typing with Chinese monosyllabic words. The target words shared or did not share the onset consonants with the prime words. The stimulus onset asynchrony (SOA) was 100 ms or 300 ms. Typing required the participants to enter the phonetic letters of the target word,…

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

    NASA Astrophysics Data System (ADS)

    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.

  13. Min-cut segmentation of cursive handwriting in tabular documents

    NASA Astrophysics Data System (ADS)

    Davis, Brian L.; Barrett, William A.; Swingle, Scott D.

    2015-01-01

    Handwritten tabular documents, such as census, birth, death and marriage records, contain a wealth of information vital to genealogical and related research. Much work has been done in segmenting freeform handwriting, however, segmentation of cursive handwriting in tabular documents is still an unsolved problem. Tabular documents present unique segmentation challenges caused by handwriting overlapping cell-boundaries and other words, both horizontally and vertically, as "ascenders" and "descenders" overlap into adjacent cells. This paper presents a method for segmenting handwriting in tabular documents using a min-cut/max-flow algorithm on a graph formed from a distance map and connected components of handwriting. Specifically, we focus on line, word and first letter segmentation. Additionally, we include the angles of strokes of the handwriting as a third dimension to our graph to enable the resulting segments to share pixels of overlapping letters. Word segmentation accuracy is 89.5% evaluating lines of the data set used in the ICDAR2013 Handwriting Segmentation Contest. Accuracy is 92.6% for a specific application of segmenting first and last names from noisy census records. Accuracy for segmenting lines of names from noisy census records is 80.7%. The 3D graph cutting shows promise in segmenting overlapping letters, although highly convoluted or overlapping handwriting remains an ongoing challenge.

  14. 39 CFR 3001.10 - Form and number of copies of documents.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... service must be printed from a text-based pdf version of the document, where possible. Otherwise, they may... generated in either Acrobat (pdf), Word, or WordPerfect, or Rich Text Format (rtf). [67 FR 67559, Nov. 6...

  15. Confirmatory factor analysis using Microsoft Excel.

    PubMed

    Miles, Jeremy N V

    2005-11-01

    This article presents a method for using Microsoft (MS) Excel for confirmatory factor analysis (CFA). CFA is often seen as an impenetrable technique, and thus, when it is taught, there is frequently little explanation of the mechanisms or underlying calculations. The aim of this article is to demonstrate that this is not the case; it is relatively straightforward to produce a spreadsheet in MS Excel that can carry out simple CFA. It is possible, with few or no programming skills, to effectively program a CFA analysis and, thus, to gain insight into the workings of the procedure.

  16. A simple method to compare firing pin marks using stereomicroscope and Microsoft office (Windows 8) tools.

    PubMed

    Suresh, R

    2017-08-01

    Pertinent marks of fired cartridge cases such as firing pin, breech face, extractor, ejector, etc. are used for firearm identification. A non-standard semiautomatic pistol and four .22rim fire cartridges (head stamp KF) is used for known source comparison study. Two test fired cartridge cases are examined under stereomicroscope. The characteristic marks are captured by digital camera and comparative analysis of striation marks is done by using different tools available in the Microsoft word (Windows 8) of a computer system. The similarities of striation marks thus obtained are highly convincing to identify the firearm. In this paper, an effort has been made to study and compare the striation marks of two fired cartridge cases using stereomicroscope, digital camera and computer system. Comparison microscope is not used in this study. The method described in this study is simple, cost effective, transport to field study and can be equipped in a crime scene vehicle to facilitate immediate on spot examination. The findings may be highly helpful to the forensic community, law enforcement agencies and students. Copyright © 2017 Elsevier B.V. All rights reserved.

  17. Improving Quality Using Architecture Fault Analysis with Confidence Arguments

    DTIC Science & Technology

    2015-03-01

    the same time, T text, diagram, and table-based requirements documentation and the use of Microsoft Word and Dynamic Object - Oriented Requirements...Lamsweerde 2003] Van Lamsweerde, Axel & Letier, Emmanuel. “From Object Orientation to Goal Orientation : A Paradigm Shift for Requirements Engineering,” 4–8...Introduction 1 Approach , Concepts, and Notations 5 2.1 Requirement Specification and Architecture Design 5 2.2 AADL Concepts Supporting Architecture

  18. California State Spelling Championship Word Lists [and Spelling Bee Planning Information].

    ERIC Educational Resources Information Center

    Sonoma County Superintendent of Schools, Santa Rosa, CA.

    This two-part document contains a spelling word list compiled by the Sonoma County Superintendent of Schools (California) for use in the California State Elementary Spelling Championship competition, along with information for planning and conducting spelling bees. The spelling word list (also intended for use in the regional competitions) is a…

  19. A Longitudinal Study Assessing the Microsoft Office Skills Course

    ERIC Educational Resources Information Center

    Carpenter, Donald A.; McGinnis, Denise; Slauson, Gayla Jo; Snyder, Johnny

    2013-01-01

    This paper explains a four-year longitudinal study of the assessment process for a Microsoft Office skills course. It examines whether there is an increase in students' knowledge based on responses to pre- and post-surveys that asked students to evaluate how well they can do particular tasks. Classical classroom teaching methods were used in the…

  20. Business Documents Don't Have to Be Boring

    ERIC Educational Resources Information Center

    Schultz, Benjamin

    2006-01-01

    With business documents, visuals can serve to enhance the written word in conveying the message. Images can be especially effective when used subtly, on part of the page, on successive pages to provide continuity, or even set as watermarks over the entire page. A main reason given for traditional text-only business documents is that they are…

  1. CDC Vital Signs: Adult Smoking among People with Mental Illness

    MedlinePlus

    ... PDF file Microsoft PowerPoint file Microsoft Word file Microsoft Excel ... National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health Page maintained by: Office ...

  2. Vertical dynamic deflection measurement in concrete beams with the Microsoft Kinect.

    PubMed

    Qi, Xiaojuan; Lichti, Derek; El-Badry, Mamdouh; Chow, Jacky; Ang, Kathleen

    2014-02-19

    The Microsoft Kinect is arguably the most popular RGB-D camera currently on the market, partially due to its low cost. It offers many advantages for the measurement of dynamic phenomena since it can directly measure three-dimensional coordinates of objects at video frame rate using a single sensor. This paper presents the results of an investigation into the development of a Microsoft Kinect-based system for measuring the deflection of reinforced concrete beams subjected to cyclic loads. New segmentation methods for object extraction from the Kinect's depth imagery and vertical displacement reconstruction algorithms have been developed and implemented to reconstruct the time-dependent displacement of concrete beams tested in laboratory conditions. The results demonstrate that the amplitude and frequency of the vertical displacements can be reconstructed with submillimetre and milliHz-level precision and accuracy, respectively.

  3. Vertical Dynamic Deflection Measurement in Concrete Beams with the Microsoft Kinect

    PubMed Central

    Qi, Xiaojuan; Lichti, Derek; El-Badry, Mamdouh; Chow, Jacky; Ang, Kathleen

    2014-01-01

    The Microsoft Kinect is arguably the most popular RGB-D camera currently on the market, partially due to its low cost. It offers many advantages for the measurement of dynamic phenomena since it can directly measure three-dimensional coordinates of objects at video frame rate using a single sensor. This paper presents the results of an investigation into the development of a Microsoft Kinect-based system for measuring the deflection of reinforced concrete beams subjected to cyclic loads. New segmentation methods for object extraction from the Kinect's depth imagery and vertical displacement reconstruction algorithms have been developed and implemented to reconstruct the time-dependent displacement of concrete beams tested in laboratory conditions. The results demonstrate that the amplitude and frequency of the vertical displacements can be reconstructed with submillimetre and milliHz-level precision and accuracy, respectively. PMID:24556668

  4. Change in Microsoft's Licensing Prices Attracts Some Colleges and Worries Others.

    ERIC Educational Resources Information Center

    Olsen, Florence

    2002-01-01

    Discusses the difficult choices facing campus officials as Microsoft pressures colleges to sign lease agreements for desktop software rather than continue to buy licenses; the new leasing option saves money in the short term but might limit choices later. (EV)

  5. DEVELOPMENT OF CAPE-OPEN COMPLIANT PROCESS MODELING COMPONENTS IN MICROSOFT .NET

    EPA Science Inventory

    The CAPE-OPEN middleware standards were created to allow process modeling components (PMCs) developed by third parties to be used in any process modeling environment (PME) utilizing these standards. The CAPE-OPEN middleware specifications were based upon both Microsoft's Compone...

  6. Overcoming Microsoft Excel's Weaknesses for Crop Model Building and Simulations

    ERIC Educational Resources Information Center

    Sung, Christopher Teh Boon

    2011-01-01

    Using spreadsheets such as Microsoft Excel for building crop models and running simulations can be beneficial. Excel is easy to use, powerful, and versatile, and it requires the least proficiency in computer programming compared to other programming platforms. Excel, however, has several weaknesses: it does not directly support loops for iterative…

  7. Lyme Disease Data

    MedlinePlus

    ... County-level Lyme disease data from 2000-2016 Microsoft Excel file [Excel CSV – 209KB] ––Right–click the link ... PDF file Microsoft PowerPoint file Microsoft Word file Microsoft Excel file Audio/Video file Apple Quicktime file RealPlayer ...

  8. Words for Work Evaluation Report 2011

    ERIC Educational Resources Information Center

    National Literacy Trust, 2011

    2011-01-01

    This document analyses and evaluates the findings of the second pilot year of the National Literacy Trust's speaking and listening project, Words for Work. This year's project worked with 219 year 9 pupils across England, and engaged 91 volunteers from the business community to facilitate group work that encouraged pupils to investigate their own…

  9. When "Veps" Cry: Two-Year-Olds Efficiently Learn Novel Words from Linguistic Contexts Alone

    ERIC Educational Resources Information Center

    Ferguson, Brock; Graf, Eileen; Waxman, Sandra R.

    2018-01-01

    We assessed 24-month-old infants' lexical processing efficiency for both novel and familiar words. Prior work documented that 19-month-olds successfully identify referents of familiar words (e.g., The dog is so little) as well as novel words whose meanings were informed only by the surrounding sentence (e.g., The vep is crying), but that the speed…

  10. LCS Content Document Application

    NASA Technical Reports Server (NTRS)

    Hochstadt, Jake

    2011-01-01

    My project at KSC during my spring 2011 internship was to develop a Ruby on Rails application to manage Content Documents..A Content Document is a collection of documents and information that describes what software is installed on a Launch Control System Computer. It's important for us to make sure the tools we use everyday are secure, up-to-date, and properly licensed. Previously, keeping track of the information was done by Excel and Word files between different personnel. The goal of the new application is to be able to manage and access the Content Documents through a single database backed web application. Our LCS team will benefit greatly with this app. Admin's will be able to login securely to keep track and update the software installed on each computer in a timely manner. We also included exportability such as attaching additional documents that can be downloaded from the web application. The finished application will ease the process of managing Content Documents while streamlining the procedure. Ruby on Rails is a very powerful programming language and I am grateful to have the opportunity to build this application.

  11. Resampling methods in Microsoft Excel® for estimating reference intervals

    PubMed Central

    Theodorsson, Elvar

    2015-01-01

    Computer- intensive resampling/bootstrap methods are feasible when calculating reference intervals from non-Gaussian or small reference samples. Microsoft Excel® in version 2010 or later includes natural functions, which lend themselves well to this purpose including recommended interpolation procedures for estimating 2.5 and 97.5 percentiles.
The purpose of this paper is to introduce the reader to resampling estimation techniques in general and in using Microsoft Excel® 2010 for the purpose of estimating reference intervals in particular.
Parametric methods are preferable to resampling methods when the distributions of observations in the reference samples is Gaussian or can transformed to that distribution even when the number of reference samples is less than 120. Resampling methods are appropriate when the distribution of data from the reference samples is non-Gaussian and in case the number of reference individuals and corresponding samples are in the order of 40. At least 500-1000 random samples with replacement should be taken from the results of measurement of the reference samples. PMID:26527366

  12. Resampling methods in Microsoft Excel® for estimating reference intervals.

    PubMed

    Theodorsson, Elvar

    2015-01-01

    Computer-intensive resampling/bootstrap methods are feasible when calculating reference intervals from non-Gaussian or small reference samples. Microsoft Excel® in version 2010 or later includes natural functions, which lend themselves well to this purpose including recommended interpolation procedures for estimating 2.5 and 97.5 percentiles. 
The purpose of this paper is to introduce the reader to resampling estimation techniques in general and in using Microsoft Excel® 2010 for the purpose of estimating reference intervals in particular.
 Parametric methods are preferable to resampling methods when the distributions of observations in the reference samples is Gaussian or can transformed to that distribution even when the number of reference samples is less than 120. Resampling methods are appropriate when the distribution of data from the reference samples is non-Gaussian and in case the number of reference individuals and corresponding samples are in the order of 40. At least 500-1000 random samples with replacement should be taken from the results of measurement of the reference samples.

  13. Validity of the Microsoft Kinect for measurement of neck angle: comparison with electrogoniometry.

    PubMed

    Allahyari, Teimour; Sahraneshin Samani, Ali; Khalkhali, Hamid-Reza

    2017-12-01

    Considering the importance of evaluating working postures, many techniques and tools have been developed to identify and eliminate awkward postures and prevent musculoskeletal disorders (MSDs). The introduction of the Microsoft Kinect sensor, which is a low-cost, easy to set up and markerless motion capture system, offers promising possibilities for postural studies. Considering the Kinect's special ability in head-pose and facial-expression tracking and complexity of cervical spine movements, this study aimed to assess concurrent validity of the Microsoft Kinect against an electrogoniometer for neck angle measurements. A special software program was developed to calculate the neck angle based on Kinect skeleton tracking data. Neck angles were measured simultaneously by electrogoniometer and the developed software program in 10 volunteers. The results were recorded in degrees and the time required for each method was also measured. The Kinect's ability to identify body joints was reliable and precise. There was moderate to excellent agreement between the Kinect-based method and the electrogoniometer (paired-sample t test, p ≥ 0.25; intraclass correlation for test-retest reliability, ≥0.75). Kinect-based measurement was much faster and required less equipment, but accurate measurement with Microsoft Kinect was only possible if the participant was in its field of view.

  14. Lexical frequency and voice assimilation in complex words in Dutch

    NASA Astrophysics Data System (ADS)

    Ernestus, Mirjam; Lahey, Mybeth; Verhees, Femke; Baayen, Harald

    2004-05-01

    Words with higher token frequencies tend to have more reduced acoustic realizations than lower frequency words (e.g., Hay, 2000; Bybee, 2001; Jurafsky et al., 2001). This study documents frequency effects for regressive voice assimilation (obstruents are voiced before voiced plosives) in Dutch morphologically complex words in the subcorpus of read-aloud novels in the corpus of spoken Dutch (Oostdijk et al., 2002). As expected, the initial obstruent of the cluster tends to be absent more often as lexical frequency increases. More importantly, as frequency increases, the duration of vocal-fold vibration in the cluster decreases, and the duration of the bursts in the cluster increases, after partialing out cluster duration. This suggests that there is less voicing for higher-frequency words. In fact, phonetic transcriptions show regressive voice assimilation for only half of the words and progressive voice assimilation for one third. Interestingly, the progressive voice assimilation observed for higher-frequency complex words renders these complex words more similar to monomorphemic words: Dutch monomorphemic words typically contain voiceless obstruent clusters (Zonneveld, 1983). Such high-frequency complex words may therefore be less easily parsed into their constituent morphemes (cf. Hay, 2000), favoring whole word lexical access (Bertram et al., 2000).

  15. Facilitating Word Recognition and Spelling Using Word Boxes and Word Sort Phonic Procedures.

    ERIC Educational Resources Information Center

    Joseph, Laurice M.

    2002-01-01

    Word boxes and word sorts are two word study phonics approaches that involve teaching phonemic awareness, making letter-sound associations, and teaching spelling through the use of well-established behavioral principles. The current study examines the effectiveness of word boxes and word sorts. Findings revealed that word boxes and word sort…

  16. Phonological Words and Stuttering on Function Words

    PubMed Central

    Au-Yeung, James; Howell, Peter; Pilgrim, Lesley

    2007-01-01

    Stuttering on function words was examined in 51 people who stutter. The people who stutter were subdivided into young (2 to 6 years), middle (6 to 9 years), and older (9 to 12 years) child groups; teenagers (13 to 18 years); and adults (20 to 40 years). As reported by previous researchers, children up to about age 9 stuttered more on function words (pronouns, articles, prepositions, conjunctions, auxiliary verbs), whereas older people tended to stutter more on content words (nouns, main verbs, adverbs, adjectives). Function words in early positions in utterances, again as reported elsewhere, were more likely to be stuttered than function words at later positions in an utterance. This was most apparent for the younger groups of speakers. For the remaining analyses, utterances were segmented into phonological words on the basis of Selkirk’s work (1984). Stuttering rate was higher when function words occurred in early phonological word positions than other phonological word positions whether the phonological word appeared in initial position in an utterance or not. Stuttering rate was highly dependent on whether the function word occurred before or after the single content word allowed in Selkirk’s (1984) phonological words. This applied, once again, whether the phonological word was utterance-initial or not. It is argued that stuttering of function words before their content word in phonological words in young speakers is used as a delaying tactic when the forthcoming content word is not prepared for articulation. PMID:9771625

  17. Novel word retention in bilingual and monolingual speakers

    PubMed Central

    Kan, Pui Fong; Sadagopan, Neeraja

    2014-01-01

    The goal of this research was to examine word retention in bilinguals and monolinguals. Long-term word retention is an essential part of vocabulary learning. Previous studies have documented that bilinguals outperform monolinguals in terms of retrieving newly-exposed words. Yet, little is known about whether or to what extent bilinguals are different from monolinguals in word retention. Participants were 30 English-speaking monolingual adults and 30 bilingual adults who speak Spanish as a home language and learned English as a second language during childhood. In a previous study (Kan et al., 2014), the participants were exposed to the target novel words in English, Spanish, and Cantonese. In this current study, word retention was measured a week after the fast mapping task. No exposures were given during the one-week interval. Results showed that bilinguals and monolinguals retain a similar number of words. However, participants produced more words in English than in either Spanish or Cantonese. Correlation analyses revealed that language knowledge plays a role in the relationships between fast mapping and word retention. Specifically, within- and across-language relationships between bilinguals' fast mapping and word retention were found in Spanish and English, by contrast, within-language relationships between monolinguals' fast mapping and word retention were found in English and across-language relationships between their fast mapping and word retention performance in English and Cantonese. Similarly, bilinguals differed from monolinguals in the relationships among the word retention scores in three languages. Significant correlations were found among bilinguals' retention scores. However, no such correlations were found among monolinguals' retention scores. The overall findings suggest that bilinguals' language experience and language knowledge most likely contribute to how they learn and retain new words. PMID:25324789

  18. Novel word retention in bilingual and monolingual speakers.

    PubMed

    Kan, Pui Fong; Sadagopan, Neeraja

    2014-01-01

    The goal of this research was to examine word retention in bilinguals and monolinguals. Long-term word retention is an essential part of vocabulary learning. Previous studies have documented that bilinguals outperform monolinguals in terms of retrieving newly-exposed words. Yet, little is known about whether or to what extent bilinguals are different from monolinguals in word retention. Participants were 30 English-speaking monolingual adults and 30 bilingual adults who speak Spanish as a home language and learned English as a second language during childhood. In a previous study (Kan et al., 2014), the participants were exposed to the target novel words in English, Spanish, and Cantonese. In this current study, word retention was measured a week after the fast mapping task. No exposures were given during the one-week interval. Results showed that bilinguals and monolinguals retain a similar number of words. However, participants produced more words in English than in either Spanish or Cantonese. Correlation analyses revealed that language knowledge plays a role in the relationships between fast mapping and word retention. Specifically, within- and across-language relationships between bilinguals' fast mapping and word retention were found in Spanish and English, by contrast, within-language relationships between monolinguals' fast mapping and word retention were found in English and across-language relationships between their fast mapping and word retention performance in English and Cantonese. Similarly, bilinguals differed from monolinguals in the relationships among the word retention scores in three languages. Significant correlations were found among bilinguals' retention scores. However, no such correlations were found among monolinguals' retention scores. The overall findings suggest that bilinguals' language experience and language knowledge most likely contribute to how they learn and retain new words.

  19. Automatic Keyword Extraction from Individual Documents

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Rose, Stuart J.; Engel, David W.; Cramer, Nicholas O.

    2010-05-03

    This paper introduces a novel and domain-independent method for automatically extracting keywords, as sequences of one or more words, from individual documents. We describe the method’s configuration parameters and algorithm, and present an evaluation on a benchmark corpus of technical abstracts. We also present a method for generating lists of stop words for specific corpora and domains, and evaluate its ability to improve keyword extraction on the benchmark corpus. Finally, we apply our method of automatic keyword extraction to a corpus of news articles and define metrics for characterizing the exclusivity, essentiality, and generality of extracted keywords within a corpus.

  20. Development of First-Graders' Word Reading Skills: For Whom Can Dynamic Assessment Tell Us More?

    ERIC Educational Resources Information Center

    Cho, Eunsoo; Compton, Donald L.; Gilbert, Jennifer K.; Steacy, Laura M.; Collins, Alyson A.; Lindström, Esther R.

    2017-01-01

    Dynamic assessment (DA) of word reading measures learning potential for early reading development by documenting the amount of assistance needed to learn how to read words with unfamiliar orthography. We examined the additive value of DA for predicting first-grade decoding and word recognition development while controlling for autoregressive…

  1. The quest to make accessibility a corporate article of faith at Microsoft: case study of corporate culture and human resource dimensions.

    PubMed

    Sandler, Leonard A; Blanck, Peter

    2005-01-01

    This case study examines efforts by Microsoft Corporation to enhance the diversity of its workforce and improve the accessibility and usability of its products and services for persons with disabilities. The research explores the relation among the Americans with Disabilities Act of 1990, corporate leadership, attitudes and behaviors towards individuals with disabilities, and dynamics that shape organizational culture at Microsoft. Implications for Microsoft, other employers, researchers, and the disability community are discussed. 2005 John Wiley & Sons, Ltd.

  2. 77 FR 53164 - Magnuson-Stevens Fishery Conservation and Management Act Provisions; Fisheries of the...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-08-31

    ... Microsoft Word, Microsoft Excel, WordPerfect, or Adobe PDF file formats only. FOR FURTHER INFORMATION...). The closure was implemented based on advice from the U.S. Food and Drug Administration (FDA) after... Management Plan (FMP). Since the implementation of the closure, NOAA's National Ocean Service has provided...

  3. Creating Single-Subject Design Graphs in Microsoft Excel[TM] 2007

    ERIC Educational Resources Information Center

    Dixon, Mark R.; Jackson, James W.; Small, Stacey L.; Horner-King, Mollie J.; Mui Ker Lik, Nicholas; Garcia, Yors; Rosales, Rocio

    2009-01-01

    Over 10 years have passed since the publication of Carr and Burkholder's (1998) technical article on how to construct single-subject graphs using Microsoft Excel. Over the course of the past decade, the Excel program has undergone a series of revisions that make the Carr and Burkholder paper somewhat difficult to follow with newer versions. The…

  4. Cross-institutional document exchange system using clinical document architecture (CDA) with virtual printing method.

    PubMed

    Mihara, Naoki; Ueda, Kanayo; Manabe, Shirou; Takeda, Toshihiro; Shimai, Yoshie; Horishima, Hiroyuki; Murata, Taizo; Fujii, Ayumi; Matsumura, Yasushi

    2015-01-01

    Recently one patient received care from several hospitals at around the same time. When the patient visited a new hospital, the new hospital's physician tried to get patient information the previous hospital. Thus, patient information is frequently exchanged between them. Many types of healthcare facilities have implemented an electronic medical record system, but in Japan, healthcare information exchange is often done by paper. In other words, after a clinical doctor prints a referral document and sends it to another hospital's physician, another hospital's doctor receives it and scans to store the EMR in his own hospital's system. It is a wasteful way to exchange healthcare information about a patient. In order to solve this problem, we have developed a cross-institutional document exchange system using clinical document architecture (CDA) with a virtual printing method.

  5. Online database for documenting clinical pathology resident education.

    PubMed

    Hoofnagle, Andrew N; Chou, David; Astion, Michael L

    2007-01-01

    Training of clinical pathologists is evolving and must now address the 6 core competencies described by the Accreditation Council for Graduate Medical Education (ACGME), which include patient care. A substantial portion of the patient care performed by the clinical pathology resident takes place while the resident is on call for the laboratory, a practice that provides the resident with clinical experience and assists the laboratory in providing quality service to clinicians in the hospital and surrounding community. Documenting the educational value of these on-call experiences and providing evidence of competence is difficult for residency directors. An online database of these calls, entered by residents and reviewed by faculty, would provide a mechanism for documenting and improving the education of clinical pathology residents. With Microsoft Access we developed an online database that uses active server pages and secure sockets layer encryption to document calls to the clinical pathology resident. Using the data collected, we evaluated the efficacy of 3 interventions aimed at improving resident education. The database facilitated the documentation of more than 4 700 calls in the first 21 months it was online, provided archived resident-generated data to assist in serving clients, and demonstrated that 2 interventions aimed at improving resident education were successful. We have developed a secure online database, accessible from any computer with Internet access, that can be used to easily document clinical pathology resident education and competency.

  6. Photos of MRSA Infections

    MedlinePlus

    ... and Team Healthcare Providers Prevention Information and Advice Posters for the Athletic Community General MRSA Information and ... site? Adobe PDF file Microsoft PowerPoint file Microsoft Word file Microsoft Excel file Audio/Video file Apple ...

  7. Tobacco document research reporting

    PubMed Central

    Carter, S

    2005-01-01

    Design: Interpretive analysis of published research. Sample: 173 papers indexed in Medline between 1995 and 2004 that cited tobacco industry documents. Analysis: Information about year published, journal and author, and a set of codes relating to methods reporting, were managed in N*Vivo. This coding formed the basis of an interpretation of tobacco document research reporting. Results: Two types of papers were identified. The first used tobacco documents as the primary data source (A-papers). The second was dedicated to another purpose but cited a small number of documents (B-papers). In B-papers documents were used either to provide a specific example or to support an expansive contention. A-papers contained information about purpose, sources, searching, analysis, and limitations that differed by author and journal and over time. A-papers had no clear methodological context, but used words from three major traditions—interpretive research, positivist research, and history—to describe analysis. Interpretation: A descriptive mainstream form of tobacco document reporting is proposed, initially typical but decreasing, and a continuum of positioning of the researcher, from conduit to constructor. Reporting practices, particularly from experienced researchers, appeared to evolve towards researcher as constructor, with later papers showing more complex purposes, diverse sources, and detail of searching and analysis. Tobacco document research could learn from existing research traditions: a model for planning and evaluating tobacco document research is presented. PMID:16319359

  8. Centralized Monitoring of the Microsoft Windows-based computers of the LHC Experiment Control Systems

    NASA Astrophysics Data System (ADS)

    Varela Rodriguez, F.

    2011-12-01

    The control system of each of the four major Experiments at the CERN Large Hadron Collider (LHC) is distributed over up to 160 computers running either Linux or Microsoft Windows. A quick response to abnormal situations of the computer infrastructure is crucial to maximize the physics usage. For this reason, a tool was developed to supervise, identify errors and troubleshoot such a large system. Although the monitoring of the performance of the Linux computers and their processes was available since the first versions of the tool, it is only recently that the software package has been extended to provide similar functionality for the nodes running Microsoft Windows as this platform is the most commonly used in the LHC detector control systems. In this paper, the architecture and the functionality of the Windows Management Instrumentation (WMI) client developed to provide centralized monitoring of the nodes running different flavour of the Microsoft platform, as well as the interface to the SCADA software of the control systems are presented. The tool is currently being commissioned by the Experiments and it has already proven to be very efficient optimize the running systems and to detect misbehaving processes or nodes.

  9. Morphable Word Clouds for Time-Varying Text Data Visualization.

    PubMed

    Chi, Ming-Te; Lin, Shih-Syun; Chen, Shiang-Yi; Lin, Chao-Hung; Lee, Tong-Yee

    2015-12-01

    A word cloud is a visual representation of a collection of text documents that uses various font sizes, colors, and spaces to arrange and depict significant words. The majority of previous studies on time-varying word clouds focuses on layout optimization and temporal trend visualization. However, they do not fully consider the spatial shapes and temporal motions of word clouds, which are important factors for attracting people's attention and are also important cues for human visual systems in capturing information from time-varying text data. This paper presents a novel method that uses rigid body dynamics to arrange multi-temporal word-tags in a specific shape sequence under various constraints. Each word-tag is regarded as a rigid body in dynamics. With the aid of geometric, aesthetic, and temporal coherence constraints, the proposed method can generate a temporally morphable word cloud that not only arranges word-tags in their corresponding shapes but also smoothly transforms the shapes of word clouds over time, thus yielding a pleasing time-varying visualization. Using the proposed frame-by-frame and morphable word clouds, people can observe the overall story of a time-varying text data from the shape transition, and people can also observe the details from the word clouds in frames. Experimental results on various data demonstrate the feasibility and flexibility of the proposed method in morphable word cloud generation. In addition, an application that uses the proposed word clouds in a simulated exhibition demonstrates the usefulness of the proposed method.

  10. A simple procedure for retrieval of a cement-retained implant-supported crown: a case report.

    PubMed

    Buzayan, Muaiyed Mahmoud; Mahmood, Wan Adida; Yunus, Norsiah Binti

    2014-02-01

    Retrieval of cement-retained implant prostheses can be more demanding than retrieval of screw-retained prostheses. This case report describes a simple and predictable procedure to locate the abutment screw access openings of cementretained implant-supported crowns in cases of fractured ceramic veneer. A conventional periapical radiography image was captured using a digital camera, transferred to a computer, and manipulated using Microsoft Word document software to estimate the location of the abutment screw access.

  11. Word add-in for ontology recognition: semantic enrichment of scientific literature.

    PubMed

    Fink, J Lynn; Fernicola, Pablo; Chandran, Rahul; Parastatidis, Savas; Wade, Alex; Naim, Oscar; Quinn, Gregory B; Bourne, Philip E

    2010-02-24

    In the current era of scientific research, efficient communication of information is paramount. As such, the nature of scholarly and scientific communication is changing; cyberinfrastructure is now absolutely necessary and new media are allowing information and knowledge to be more interactive and immediate. One approach to making knowledge more accessible is the addition of machine-readable semantic data to scholarly articles. The Word add-in presented here will assist authors in this effort by automatically recognizing and highlighting words or phrases that are likely information-rich, allowing authors to associate semantic data with those words or phrases, and to embed that data in the document as XML. The add-in and source code are publicly available at http://www.codeplex.com/UCSDBioLit. The Word add-in for ontology term recognition makes it possible for an author to add semantic data to a document as it is being written and it encodes these data using XML tags that are effectively a standard in life sciences literature. Allowing authors to mark-up their own work will help increase the amount and quality of machine-readable literature metadata.

  12. Word add-in for ontology recognition: semantic enrichment of scientific literature

    PubMed Central

    2010-01-01

    Background In the current era of scientific research, efficient communication of information is paramount. As such, the nature of scholarly and scientific communication is changing; cyberinfrastructure is now absolutely necessary and new media are allowing information and knowledge to be more interactive and immediate. One approach to making knowledge more accessible is the addition of machine-readable semantic data to scholarly articles. Results The Word add-in presented here will assist authors in this effort by automatically recognizing and highlighting words or phrases that are likely information-rich, allowing authors to associate semantic data with those words or phrases, and to embed that data in the document as XML. The add-in and source code are publicly available at http://www.codeplex.com/UCSDBioLit. Conclusions The Word add-in for ontology term recognition makes it possible for an author to add semantic data to a document as it is being written and it encodes these data using XML tags that are effectively a standard in life sciences literature. Allowing authors to mark-up their own work will help increase the amount and quality of machine-readable literature metadata. PMID:20181245

  13. Modulation of brain activity by multiple lexical and word form variables in visual word recognition: A parametric fMRI study.

    PubMed

    Hauk, Olaf; Davis, Matthew H; Pulvermüller, Friedemann

    2008-09-01

    Psycholinguistic research has documented a range of variables that influence visual word recognition performance. Many of these variables are highly intercorrelated. Most previous studies have used factorial designs, which do not exploit the full range of values available for continuous variables, and are prone to skewed stimulus selection as well as to effects of the baseline (e.g. when contrasting words with pseudowords). In our study, we used a parametric approach to study the effects of several psycholinguistic variables on brain activation. We focussed on the variable word frequency, which has been used in numerous previous behavioural, electrophysiological and neuroimaging studies, in order to investigate the neuronal network underlying visual word processing. Furthermore, we investigated the variable orthographic typicality as well as a combined variable for word length and orthographic neighbourhood size (N), for which neuroimaging results are still either scarce or inconsistent. Data were analysed using multiple linear regression analysis of event-related fMRI data acquired from 21 subjects in a silent reading paradigm. The frequency variable correlated negatively with activation in left fusiform gyrus, bilateral inferior frontal gyri and bilateral insulae, indicating that word frequency can affect multiple aspects of word processing. N correlated positively with brain activity in left and right middle temporal gyri as well as right inferior frontal gyrus. Thus, our analysis revealed multiple distinct brain areas involved in visual word processing within one data set.

  14. Recurrent-neural-network-based Boolean factor analysis and its application to word clustering.

    PubMed

    Frolov, Alexander A; Husek, Dusan; Polyakov, Pavel Yu

    2009-07-01

    The objective of this paper is to introduce a neural-network-based algorithm for word clustering as an extension of the neural-network-based Boolean factor analysis algorithm (Frolov , 2007). It is shown that this extended algorithm supports even the more complex model of signals that are supposed to be related to textual documents. It is hypothesized that every topic in textual data is characterized by a set of words which coherently appear in documents dedicated to a given topic. The appearance of each word in a document is coded by the activity of a particular neuron. In accordance with the Hebbian learning rule implemented in the network, sets of coherently appearing words (treated as factors) create tightly connected groups of neurons, hence, revealing them as attractors of the network dynamics. The found factors are eliminated from the network memory by the Hebbian unlearning rule facilitating the search of other factors. Topics related to the found sets of words can be identified based on the words' semantics. To make the method complete, a special technique based on a Bayesian procedure has been developed for the following purposes: first, to provide a complete description of factors in terms of component probability, and second, to enhance the accuracy of classification of signals to determine whether it contains the factor. Since it is assumed that every word may possibly contribute to several topics, the proposed method might be related to the method of fuzzy clustering. In this paper, we show that the results of Boolean factor analysis and fuzzy clustering are not contradictory, but complementary. To demonstrate the capabilities of this attempt, the method is applied to two types of textual data on neural networks in two different languages. The obtained topics and corresponding words are at a good level of agreement despite the fact that identical topics in Russian and English conferences contain different sets of keywords.

  15. Slant correction for handwritten English documents

    NASA Astrophysics Data System (ADS)

    Shridhar, Malayappan; Kimura, Fumitaka; Ding, Yimei; Miller, John W. V.

    2004-12-01

    Optical character recognition of machine-printed documents is an effective means for extracting textural material. While the level of effectiveness for handwritten documents is much poorer, progress is being made in more constrained applications such as personal checks and postal addresses. In these applications a series of steps is performed for recognition beginning with removal of skew and slant. Slant is a characteristic unique to the writer and varies from writer to writer in which characters are tilted some amount from vertical. The second attribute is the skew that arises from the inability of the writer to write on a horizontal line. Several methods have been proposed and discussed for average slant estimation and correction in the earlier papers. However, analysis of many handwritten documents reveals that slant is a local property and slant varies even within a word. The use of an average slant for the entire word often results in overestimation or underestimation of the local slant. This paper describes three methods for local slant estimation, namely the simple iterative method, high-speed iterative method, and the 8-directional chain code method. The experimental results show that the proposed methods can estimate and correct local slant more effectively than the average slant correction.

  16. Word-identification priming for ignored and attended words

    NASA Technical Reports Server (NTRS)

    Stone, M.; Ladd, S. L.; Vaidya, C. J.; Gabrieli, J. D.

    1998-01-01

    Three experiments examined contributions of study phase awareness of word identity to subsequent word-identification priming by manipulating visual attention to words at study. In Experiment 1, word-identification priming was reduced for ignored relative to attended words, even though ignored words were identified sufficiently to produce negative priming in the study phase. Word-identification priming was also reduced after color naming relative to emotional valence rating (Experiment 2) or word reading (Experiment 3), even though an effect of emotional valence upon color naming (Experiment 2) indicated that words were identified at study. Thus, word-identification priming was reduced even when word identification occurred at study. Word-identification priming may depend on awareness of word identity at the time of study.

  17. The Relationships among Cognitive Correlates and Irregular Word, Non-Word, and Word Reading

    ERIC Educational Resources Information Center

    Abu-Hamour, Bashir; University, Mu'tah; Urso, Annmarie; Mather, Nancy

    2012-01-01

    This study explored four hypotheses: (a) the relationships among rapid automatized naming (RAN) and processing speed (PS) to irregular word, non-word, and word reading; (b) the predictive power of various RAN and PS measures, (c) the cognitive correlates that best predicted irregular word, non-word, and word reading, and (d) reading performance of…

  18. GeoSegmenter: A statistically learned Chinese word segmenter for the geoscience domain

    NASA Astrophysics Data System (ADS)

    Huang, Lan; Du, Youfu; Chen, Gongyang

    2015-03-01

    Unlike English, the Chinese language has no space between words. Segmenting texts into words, known as the Chinese word segmentation (CWS) problem, thus becomes a fundamental issue for processing Chinese documents and the first step in many text mining applications, including information retrieval, machine translation and knowledge acquisition. However, for the geoscience subject domain, the CWS problem remains unsolved. Although a generic segmenter can be applied to process geoscience documents, they lack the domain specific knowledge and consequently their segmentation accuracy drops dramatically. This motivated us to develop a segmenter specifically for the geoscience subject domain: the GeoSegmenter. We first proposed a generic two-step framework for domain specific CWS. Following this framework, we built GeoSegmenter using conditional random fields, a principled statistical framework for sequence learning. Specifically, GeoSegmenter first identifies general terms by using a generic baseline segmenter. Then it recognises geoscience terms by learning and applying a model that can transform the initial segmentation into the goal segmentation. Empirical experimental results on geoscience documents and benchmark datasets showed that GeoSegmenter could effectively recognise both geoscience terms and general terms.

  19. Preparing data for analysis using microsoft Excel.

    PubMed

    Elliott, Alan C; Hynan, Linda S; Reisch, Joan S; Smith, Janet P

    2006-09-01

    A critical component essential to good research is the accurate and efficient collection and preparation of data for analysis. Most medical researchers have little or no training in data management, often causing not only excessive time spent cleaning data but also a risk that the data set contains collection or recording errors. The implementation of simple guidelines based on techniques used by professional data management teams will save researchers time and money and result in a data set better suited to answer research questions. Because Microsoft Excel is often used by researchers to collect data, specific techniques that can be implemented in Excel are presented.

  20. Word Criticality Analysis MOS: 17B. Skill Levels 1 & 2.

    DTIC Science & Technology

    1981-09-01

    DPFO Curl -___ .... F ...... COPIES ATOP .o’,. 109.1 ,.,,,o .4i,1,.~ .. d.,--. - , selll efle *,5,ed. !* DISCLAIMER NOTICE THIS DOCUMENT IS BEST QUALITY...Manual (SM). These critical words were selected by subject matter/job experts knowledgeable in their MOS. The vocabulary set used as the basis for critical...following 5 point rating scale was used by a team of up to 3 subject matter experts fzum Army MOS proponent schools to rate each word selected as having

  1. A cross-linguistic study of real-word and non-word repetition as predictors of grammatical competence in children with typical language development

    PubMed Central

    Dispaldro, Marco; Deevy, Patricia; Altoe, Gianmarco; Benelli, Beatrice; Leonard Purdue, Laurence B.

    2013-01-01

    Background Although relationships among non-word repetition, real-word repetition and grammatical ability have been documented, it is important to study whether the specific nature of these relationships is tied to the characteristics of a given language. Aims The aim of this study is to explore the potential cross-linguistic differences (Italian and English) in the relationship among non-word repetition, real-word repetition, and grammatical ability in three- and four-year-old children with typical language development. Methods & Procedures To reach this goal, two repetition tasks (one real-word list and one non-word list for each language) were used. In Italian the grammatical categories were the third person plural inflection and the direct-object clitic pronouns, while in English they were the third person singular present tense inflection and the past tense in regular and irregular forms. Outcomes & Results A cross-linguistic comparison showed that in both Italian and English, non-word repetition was a significant predictor of grammatical ability. However, performance on real-word repetition explained children’s grammatical ability in Italian but not in English. Conclusions & Implications Abilities underlying non-word repetition performance (e.g., the processing and/or storage of phonological material) play an important role in the development of children’s grammatical abilities in both languages. Lexical ability (indexed by real-word repetition) showed a close relationship to grammatical ability in Italian but not in English. Implications of the findings are discussed in terms of cross-linguistic differences, genetic research, clinical intervention and methodological issues. PMID:21899673

  2. A cross-linguistic study of real-word and non-word repetition as predictors of grammatical competence in children with typical language development.

    PubMed

    Dispaldro, Marco; Deevy, Patricia; Altoé, Gianmarco; Benelli, Beatrice; Leonard, Laurence B

    2011-01-01

    Although relationships among non-word repetition, real-word repetition and grammatical ability have been documented, it is important to study whether the specific nature of these relationships is tied to the characteristics of a given language. The aim of this study is to explore the potential cross-linguistic differences (Italian and English) in the relationship among non-word repetition, real-word repetition, and grammatical ability in three-and four-year-old children with typical language development. To reach this goal, two repetition tasks (one real-word list and one non-word list for each language) were used. In Italian the grammatical categories were the third person plural inflection and the direct-object clitic pronouns, while in English they were the third person singular present tense inflection and the past tense in regular and irregular forms. A cross-linguistic comparison showed that in both Italian and English, non-word repetition was a significant predictor of grammatical ability. However, performance on real-word repetition explained children's grammatical ability in Italian but not in English. Abilities underlying non-word repetition performance (e.g., the processing and/or storage of phonological material) play an important role in the development of children's grammatical abilities in both languages. Lexical ability (indexed by real-word repetition) showed a close relationship to grammatical ability in Italian but not in English. Implications of the findings are discussed in terms of cross-linguistic differences, genetic research, clinical intervention and methodological issues. © 2011 Royal College of Speech & Language Therapists.

  3. Word, Words, Words: Ellul and the Mediocritization of Language

    ERIC Educational Resources Information Center

    Foltz, Franz; Foltz, Frederick

    2012-01-01

    The authors explore how technique via propaganda has replaced the word with images creating a mass society and limiting the ability of people to act as individuals. They begin by looking at how words affect human society and how they have changed over time. They explore how technology has altered the meaning of words in order to create a more…

  4. Self-scheduling with Microsoft Excel.

    PubMed

    Irvin, S A; Brown, H N

    1999-01-01

    Excessive time was being spent by the emergency department (ED) staff, head nurse, and unit secretary on a complex 6-week manual self-scheduling system. This issue, plus inevitable errors and staff dissatisfaction, resulted in a manager-lead initiative to automate elements of the scheduling process using Microsoft Excel. The implementation of this initiative included: common coding of all 8-hour and 12-hour shifts, with each 4-hour period represented by a cell; the creation of a 6-week master schedule using the "count-if" function of Excel based on current staffing guidelines; staff time-off requests then entered by the department secretary; the head nurse, with staff input, then fine-tuned the schedule to provide even unit coverage. Outcomes of these changes included an increase in staff satisfaction, time saved by the head nurse, and staff work time saved because there was less arguing about the schedule. Ultimately, the automated self-scheduling method was expanded to the entire 700-bed hospital.

  5. 47 CFR 61.22 - Composition of tariffs.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ...Perfect 5.1, Microsoft Word 6, or Microsoft Word 97 software. No diskettes shall contain more than one... clearly labelled with the carrier's name, Tariff Number, software used, and the date of submission. When... defined in § 1.4(e)(2) of this chapter. (d) Domestic and international nondominant carriers subject to the...

  6. 14 CFR 302.603 - Contents of complaint or request for determination.

    Code of Federal Regulations, 2010 CFR

    2010-01-01

    ... determination. 302.603 Section 302.603 Aeronautics and Space OFFICE OF THE SECRETARY, DEPARTMENT OF...: Microsoft Word (or RTF), Word Perfect, Ami Pro, Microsoft Excel, Lotus 123, Quattro Pro, or ASCII tab...: one copy for the docket, one copy for the Office of Hearings, and one copy for the Office of Aviation...

  7. Validity of the microsoft kinect system in assessment of compensatory stepping behavior during standing and treadmill walking.

    PubMed

    Shani, Guy; Shapiro, Amir; Oded, Goldstein; Dima, Kagan; Melzer, Itshak

    2017-01-01

    Rapid compensatory stepping plays an important role in preventing falls when balance is lost; however, these responses cannot be accurately quantified in the clinic. The Microsoft Kinect™ system provides real-time anatomical landmark position data in three dimensions (3D), which may bridge this gap. Compensatory stepping reactions were evoked in 8 young adults by a sudden platform horizontal motion on which the subject stood or walked on a treadmill. The movements were recorded with both a 3D-APAS motion capture and Microsoft Kinect™ systems. The outcome measures consisted of compensatory step times (milliseconds) and length (centimeters). The average values of two standing and walking trials for Microsoft Kinect™ and the 3D-APAS systems were compared using t -test, Pearson's correlation, Altman-bland plots, and the average difference of root mean square error (RMSE) of joint position. The Microsoft Kinect™ had high correlations for the compensatory step times ( r  = 0.75-0.78, p  = 0.04) during standing and moderate correlations for walking ( r  = 0.53-0.63, p  = 0.05). The step length, however had a very high correlations for both standing and walking ( r  > 0.97, p  = 0.01). The RMSE showed acceptable differences during the perturbation trials with smallest relative error in anterior-posterior direction (2-3%) and the highest in the vertical direction (11-13%). No systematic bias were evident in the Bland and Altman graphs. The Microsoft Kinect™ system provides comparable data to a video-based 3D motion analysis system when assessing step length and less accurate but still clinically acceptable for step times during balance recovery when balance is lost and fall is initiated.

  8. Conducting Automated Test Assembly Using the Premium Solver Platform Version 7.0 with Microsoft Excel and the Large-Scale LP/QP Solver Engine Add-In

    ERIC Educational Resources Information Center

    Cor, Ken; Alves, Cecilia; Gierl, Mark J.

    2008-01-01

    This review describes and evaluates a software add-in created by Frontline Systems, Inc., that can be used with Microsoft Excel 2007 to solve large, complex test assembly problems. The combination of Microsoft Excel 2007 with the Frontline Systems Premium Solver Platform is significant because Microsoft Excel is the most commonly used spreadsheet…

  9. Physiologically based pharmacokinetic modeling using microsoft excel and visual basic for applications.

    PubMed

    Marino, Dale J

    2005-01-01

    Abstract Physiologically based pharmacokinetic (PBPK) models are mathematical descriptions depicting the relationship between external exposure and internal dose. These models have found great utility for interspecies extrapolation. However, specialized computer software packages, which are not widely distributed, have typically been used for model development and utilization. A few physiological models have been reported using more widely available software packages (e.g., Microsoft Excel), but these tend to include less complex processes and dose metrics. To ascertain the capability of Microsoft Excel and Visual Basis for Applications (VBA) for PBPK modeling, models for styrene, vinyl chloride, and methylene chloride were coded in Advanced Continuous Simulation Language (ACSL), Excel, and VBA, and simulation results were compared. For styrene, differences between ACSL and Excel or VBA compartment concentrations and rates of change were less than +/-7.5E-10 using the same numerical integration technique and time step. Differences using VBA fixed step or ACSL Gear's methods were generally <1.00E-03, although larger differences involving very small values were noted after exposure transitions. For vinyl chloride and methylene chloride, Excel and VBA PBPK model dose metrics differed by no more than -0.013% or -0.23%, respectively, from ACSL results. These differences are likely attributable to different step sizes rather than different numerical integration techniques. These results indicate that Microsoft Excel and VBA can be useful tools for utilizing PBPK models, and given the availability of these software programs, it is hoped that this effort will help facilitate the use and investigation of PBPK modeling.

  10. Emerging technologies and corporate culture at Microsoft: a methodological note.

    PubMed

    Klein, David; Schmeling, James; Blanck, Peter

    2005-01-01

    This article explores factors important in the study and examination of corporate culture and change. The particular focus is on the technological methods used to conduct a study of accessible technology and corporate culture at Microsoft Corporation. Reasons for particular approaches are explained. Advantages and challenges of emerging technologies that store and retrieve information in the study of corporate culture are reviewed. 2005 John Wiley & Sons, Ltd.

  11. Random Vibrations

    NASA Technical Reports Server (NTRS)

    Messaro. Semma; Harrison, Phillip

    2010-01-01

    Ares I Zonal Random vibration environments due to acoustic impingement and combustion processes are develop for liftoff, ascent and reentry. Random Vibration test criteria for Ares I Upper Stage pyrotechnic components are developed by enveloping the applicable zonal environments where each component is located. Random vibration tests will be conducted to assure that these components will survive and function appropriately after exposure to the expected vibration environments. Methodology: Random Vibration test criteria for Ares I Upper Stage pyrotechnic components were desired that would envelope all the applicable environments where each component was located. Applicable Ares I Vehicle drawings and design information needed to be assessed to determine the location(s) for each component on the Ares I Upper Stage. Design and test criteria needed to be developed by plotting and enveloping the applicable environments using Microsoft Excel Spreadsheet Software and documenting them in a report Using Microsoft Word Processing Software. Conclusion: Random vibration liftoff, ascent, and green run design & test criteria for the Upper Stage Pyrotechnic Components were developed by using Microsoft Excel to envelope zonal environments applicable to each component. Results were transferred from Excel into a report using Microsoft Word. After the report is reviewed and edited by my mentor it will be submitted for publication as an attachment to a memorandum. Pyrotechnic component designers will extract criteria from my report for incorporation into the design and test specifications for components. Eventually the hardware will be tested to the environments I developed to assure that the components will survive and function appropriately after exposure to the expected vibration environments.

  12. A Simple Microsoft Excel Method to Predict Antibiotic Outbreaks and Underutilization.

    PubMed

    Miglis, Cristina; Rhodes, Nathaniel J; Avedissian, Sean N; Zembower, Teresa R; Postelnick, Michael; Wunderink, Richard G; Sutton, Sarah H; Scheetz, Marc H

    2017-07-01

    Benchmarking strategies are needed to promote the appropriate use of antibiotics. We have adapted a simple regressive method in Microsoft Excel that is easily implementable and creates predictive indices. This method trends consumption over time and can identify periods of over- and underuse at the hospital level. Infect Control Hosp Epidemiol 2017;38:860-862.

  13. Calibration of Kinect for Xbox One and Comparison between the Two Generations of Microsoft Sensors

    PubMed Central

    Pagliari, Diana; Pinto, Livio

    2015-01-01

    In recent years, the videogame industry has been characterized by a great boost in gesture recognition and motion tracking, following the increasing request of creating immersive game experiences. The Microsoft Kinect sensor allows acquiring RGB, IR and depth images with a high frame rate. Because of the complementary nature of the information provided, it has proved an attractive resource for researchers with very different backgrounds. In summer 2014, Microsoft launched a new generation of Kinect on the market, based on time-of-flight technology. This paper proposes a calibration of Kinect for Xbox One imaging sensors, focusing on the depth camera. The mathematical model that describes the error committed by the sensor as a function of the distance between the sensor itself and the object has been estimated. All the analyses presented here have been conducted for both generations of Kinect, in order to quantify the improvements that characterize every single imaging sensor. Experimental results show that the quality of the delivered model improved applying the proposed calibration procedure, which is applicable to both point clouds and the mesh model created with the Microsoft Fusion Libraries. PMID:26528979

  14. Calibration of Kinect for Xbox One and Comparison between the Two Generations of Microsoft Sensors.

    PubMed

    Pagliari, Diana; Pinto, Livio

    2015-10-30

    In recent years, the videogame industry has been characterized by a great boost in gesture recognition and motion tracking, following the increasing request of creating immersive game experiences. The Microsoft Kinect sensor allows acquiring RGB, IR and depth images with a high frame rate. Because of the complementary nature of the information provided, it has proved an attractive resource for researchers with very different backgrounds. In summer 2014, Microsoft launched a new generation of Kinect on the market, based on time-of-flight technology. This paper proposes a calibration of Kinect for Xbox One imaging sensors, focusing on the depth camera. The mathematical model that describes the error committed by the sensor as a function of the distance between the sensor itself and the object has been estimated. All the analyses presented here have been conducted for both generations of Kinect, in order to quantify the improvements that characterize every single imaging sensor. Experimental results show that the quality of the delivered model improved applying the proposed calibration procedure, which is applicable to both point clouds and the mesh model created with the Microsoft Fusion Libraries.

  15. [Application of three compartment model and response surface model to clinical anesthesia using Microsoft Excel].

    PubMed

    Abe, Eiji; Abe, Mari

    2011-08-01

    With the spread of total intravenous anesthesia, clinical pharmacology has become more important. We report Microsoft Excel file applying three compartment model and response surface model to clinical anesthesia. On the Microsoft Excel sheet, propofol, remifentanil and fentanyl effect-site concentrations are predicted (three compartment model), and probabilities of no response to prodding, shaking, surrogates of painful stimuli and laryngoscopy are calculated using predicted effect-site drug concentration. Time-dependent changes in these calculated values are shown graphically. Recent development in anesthetic drug interaction studies are remarkable, and its application to clinical anesthesia with this Excel file is simple and helpful for clinical anesthesia.

  16. Validation of the Microsoft Kinect® camera system for measurement of lower extremity jump landing and squatting kinematics.

    PubMed

    Eltoukhy, Moataz; Kelly, Adam; Kim, Chang-Young; Jun, Hyung-Pil; Campbell, Richard; Kuenze, Christopher

    2016-01-01

    Cost effective, quantifiable assessment of lower extremity movement represents potential improvement over standard tools for evaluation of injury risk. Ten healthy participants completed three trials of a drop jump, overhead squat, and single leg squat task. Peak hip and knee kinematics were assessed using an 8 camera BTS Smart 7000DX motion analysis system and the Microsoft Kinect® camera system. The agreement and consistency between both uncorrected and correct Kinect kinematic variables and the BTS camera system were assessed using interclass correlations coefficients. Peak sagittal plane kinematics measured using the Microsoft Kinect® camera system explained a significant amount of variance [Range(hip) = 43.5-62.8%; Range(knee) = 67.5-89.6%] in peak kinematics measured using the BTS camera system. Across tasks, peak knee flexion angle and peak hip flexion were found to be consistent and in agreement when the Microsoft Kinect® camera system was directly compared to the BTS camera system but these values were improved following application of a corrective factor. The Microsoft Kinect® may not be an appropriate surrogate for traditional motion analysis technology, but it may have potential applications as a real-time feedback tool in pathological or high injury risk populations.

  17. Keywords image retrieval in historical handwritten Arabic documents

    NASA Astrophysics Data System (ADS)

    Saabni, Raid; El-Sana, Jihad

    2013-01-01

    A system is presented for spotting and searching keywords in handwritten Arabic documents. A slightly modified dynamic time warping algorithm is used to measure similarities between words. Two sets of features are generated from the outer contour of the words/word-parts. The first set is based on the angles between nodes on the contour and the second set is based on the shape context features taken from the outer contour. To recognize a given word, the segmentation-free approach is partially adopted, i.e., continuous word parts are used as the basic alphabet, instead of individual characters or complete words. Additional strokes, such as dots and detached short segments, are classified and used in a postprocessing step to determine the final comparison decision. The search for a keyword is performed by the search for its word parts given in the correct order. The performance of the presented system was very encouraging in terms of efficiency and match rates. To evaluate the presented system its performance is compared to three different systems. Unfortunately, there are no publicly available standard datasets with ground truth for testing Arabic key word searching systems. Therefore, a private set of images partially taken from Juma'a Al-Majid Center in Dubai for evaluation is used, while using a slightly modified version of the IFN/ENIT database for training.

  18. The Wives and Sisters of Sahagun: Word Order of Latin and Romance Synonyms in Possessive Noun Phrases in the Formulae of Medieval Iberian Notarial Documents--"Uxor vs. Mulier" and "Soror vs. Germana," a Preliminary Study

    ERIC Educational Resources Information Center

    Lee, Jesse

    2013-01-01

    The goal of this study was to find and trace word order patterns in Possessive Noun Phrases ("PNP's") in formulaic language within notarial documents dating from the tenth through the thirteenth centuries, originating from the Monastery of Sahagun, Leon, Spain. The overall results show clear trends, which reveal a diachronic process that…

  19. Wang OIS glossary package for reformatting documents telecommunicated to the OIS system

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Markow, S.R.

    1983-12-09

    Documents that are composed on a computer and then transmitted by telecommunications into a Wang Office Information System (OIS) word processing system need to be reformatted and cleaned up before they can be used properly as word processing documents suitable for further revisions or additions. This report describes a group of glossary entries created for the Wang OIS which simplifies the job of cleaning up telecommunicated documents. This glossary is a semi-automated process designed to eliminate most of the tedious work needed to be performed in removing extra spaces and returns, adjusting formats, moving material, repagination, using tabs or indents,more » and similar problems. The report briefly discusses the problems, describes the glossary approach to solving them, and gives instructions for actually using the glossary entries.« less

  20. Hierarchic Agglomerative Clustering Methods for Automatic Document Classification.

    ERIC Educational Resources Information Center

    Griffiths, Alan; And Others

    1984-01-01

    Considers classifications produced by application of single linkage, complete linkage, group average, and word clustering methods to Keen and Cranfield document test collections, and studies structure of hierarchies produced, extent to which methods distort input similarity matrices during classification generation, and retrieval effectiveness…

  1. Microsoft C#.NET program and electromagnetic depth sounding for large loop source

    NASA Astrophysics Data System (ADS)

    Prabhakar Rao, K.; Ashok Babu, G.

    2009-07-01

    A program, in the C# (C Sharp) language with Microsoft.NET Framework, is developed to compute the normalized vertical magnetic field of a horizontal rectangular loop source placed on the surface of an n-layered earth. The field can be calculated either inside or outside the loop. Five C# classes with member functions in each class are, designed to compute the kernel, Hankel transform integral, coefficients for cubic spline interpolation between computed values and the normalized vertical magnetic field. The program computes the vertical magnetic field in the frequency domain using the integral expressions evaluated by a combination of straightforward numerical integration and the digital filter technique. The code utilizes different object-oriented programming (OOP) features. It finally computes the amplitude and phase of the normalized vertical magnetic field. The computed results are presented for geometric and parametric soundings. The code is developed in Microsoft.NET visual studio 2003 and uses various system class libraries.

  2. Scribe: A Document Specification Language and Its Compiler

    DTIC Science & Technology

    1980-10-01

    34" prints today’s date as "Samedi, le 13 Decembre, 1980". The template "el 8 de Marzo de 1952" prints today’s date as "el 13 de Diciembre de 1980". The...Letter spacing and kerning 20 3.12 Ligatures 24 3.1.3 Diacritical Marks 24 3.2 Lineation and Word Placement 27 3.2.1 Word Spacing and Justification 27...letterhead. 67 Figure 24 : Document format definition for CMU thesis. 68 Figure 25: Twenty basic rules for indexers, from Collison [11]. 74 Figure 26

  3. New Words Digest, Fall 1989-Summer 1990.

    ERIC Educational Resources Information Center

    New Words Digest, 1990

    1990-01-01

    This document consists of the four issues of the first annual volume of a quarterly magazine for new adult readers. It is aimed at adults reading at the fourth- to eighth-grade level. The magazine is designed to be self-motivating to the new reader or the learning disabled. Phonetic helps are provided for those words that do not conform to typical…

  4. Use of the Word "Cure" in the Oncology Literature.

    PubMed

    Prasad, Vinay

    2015-08-01

    "Cure" is an important word in oncology but its use in the published literature has not been examined. I investigated all oncology articles using cure in the title field and published in 2012. The definition of cure was examined, specifically whether or not authors use the word to connote some surviving subset of patients who go on to experience outcomes similar to age-matched, normal controls-a definition favored by researchers and employed in survival function analyses. All articles published between January 1, 2012, and December 31, 2012, with the word cure in the title field were retrieved from Thompson Reuters' Web of Science. After exclusions, articles were read in full to examine what definitions of cure was used. Additionally, for each situation (type of cancer, stage/grade) where the word cure was used, a literature search was performed to ascertain whether there existed documented cases of cure. Twenty-nine oncology articles used the word cure in their title in 2012. Nearly half, 14 (48%) of 29, used the term in situations (cancer type, stage/grade) currently considered incurable. Approximately one-third (34.5%) of the articles used the word consistent with the definition that, after a set period of time, some surviving subset of patients experience survival similar to normal controls. There is heterogeneity in the use of the word cure in the literature. © The Author(s) 2014.

  5. Microsoft Producer: A Software Tool for Creating Multimedia PowerPoint[R] Presentations

    ERIC Educational Resources Information Center

    Leffingwell, Thad R.; Thomas, David G.; Elliott, William H.

    2007-01-01

    Microsoft[R] Producer[R] is a powerful yet user-friendly PowerPoint companion tool for creating on-demand multimedia presentations. Instructors can easily distribute these presentations via compact disc or streaming media over the Internet. We describe the features of the software, system requirements, and other required hardware. We also describe…

  6. The Effect of Sonority on Word Segmentation: Evidence for the Use of a Phonological Universal

    ERIC Educational Resources Information Center

    Ettlinger, Marc; Finn, Amy S.; Hudson Kam, Carla L.

    2012-01-01

    It has been well documented how language-specific cues may be used for word segmentation. Here, we investigate what role a language-independent phonological universal, the sonority sequencing principle (SSP), may also play. Participants were presented with an unsegmented speech stream with non-English word onsets that juxtaposed adherence to the…

  7. Scabies: Workplace Frequently Asked Questions (FAQs)

    MedlinePlus

    ... PDF file Microsoft PowerPoint file Microsoft Word file Microsoft Excel file Audio/Video file Apple Quicktime file RealPlayer file Text file Zip Archive file SAS file ePub file RIS file Page last reviewed: July 19, 2013 Page last updated: July 19, 2013 Content source: ...

  8. FastStats: Kidney Disease

    MedlinePlus

    ... PDF file Microsoft PowerPoint file Microsoft Word file Microsoft Excel file Audio/Video file Apple Quicktime file RealPlayer file Text file Zip Archive file SAS file ePub file RIS file Page last reviewed: February 18, 2013 Page last updated: March 30, 2017 Content source: ...

  9. FastStats: Chronic Liver Disease and Cirrhosis

    MedlinePlus

    ... PDF file Microsoft PowerPoint file Microsoft Word file Microsoft Excel file Audio/Video file Apple Quicktime file RealPlayer file Text file Zip Archive file SAS file ePub file RIS file Page last reviewed: May 30, 2013 Page last updated: October 6, 2016 Content source: ...

  10. The word-length effect and disyllabic words.

    PubMed

    Lovatt, P; Avons, S E; Masterson, J

    2000-02-01

    Three experiments compared immediate serial recall of disyllabic words that differed on spoken duration. Two sets of long- and short-duration words were selected, in each case maximizing duration differences but matching for frequency, familiarity, phonological similarity, and number of phonemes, and controlling for semantic associations. Serial recall measures were obtained using auditory and visual presentation and spoken and picture-pointing recall. In Experiments 1a and 1b, using the first set of items, long words were better recalled than short words. In Experiments 2a and 2b, using the second set of items, no difference was found between long and short disyllabic words. Experiment 3 confirmed the large advantage for short-duration words in the word set originally selected by Baddeley, Thomson, and Buchanan (1975). These findings suggest that there is no reliable advantage for short-duration disyllables in span tasks, and that previous accounts of a word-length effect in disyllables are based on accidental differences between list items. The failure to find an effect of word duration casts doubt on theories that propose that the capacity of memory span is determined by the duration of list items or the decay rate of phonological information in short-term memory.

  11. Marketing your dental practice using microsoft powerpoint.

    PubMed

    Kotlow, L A

    2001-12-01

    Educating the parents of my patients about the techniques and specialized care pediatric dentists provide has always been a challenge. When I began my dental practice in 1974, the materials and audiovisual programs that were available for parental and patient education were of poor quality and often did not reflect my office philosophy. The multimedia material for pediatric dentistry was limited in scope and of little value in conveying to the parents and patients pediatric restorative procedures, causes of dental disease, caries prevention and patient management. Effective communication to the public can be divided into two areas: in-office marketing; and outside advertising. The primary focus of this discussion will be on in-house marketing of your dental practice using Microsoft PowerPoint.

  12. Do handwritten words magnify lexical effects in visual word recognition?

    PubMed

    Perea, Manuel; Gil-López, Cristina; Beléndez, Victoria; Carreiras, Manuel

    2016-01-01

    An examination of how the word recognition system is able to process handwritten words is fundamental to formulate a comprehensive model of visual word recognition. Previous research has revealed that the magnitude of lexical effects (e.g., the word-frequency effect) is greater with handwritten words than with printed words. In the present lexical decision experiments, we examined whether the quality of handwritten words moderates the recruitment of top-down feedback, as reflected in word-frequency effects. Results showed a reading cost for difficult-to-read and easy-to-read handwritten words relative to printed words. But the critical finding was that difficult-to-read handwritten words, but not easy-to-read handwritten words, showed a greater word-frequency effect than printed words. Therefore, the inherent physical variability of handwritten words does not necessarily boost the magnitude of lexical effects.

  13. Estimating affective word covariates using word association data.

    PubMed

    Van Rensbergen, Bram; De Deyne, Simon; Storms, Gert

    2016-12-01

    Word ratings on affective dimensions are an important tool in psycholinguistic research. Traditionally, they are obtained by asking participants to rate words on each dimension, a time-consuming procedure. As such, there has been some interest in computationally generating norms, by extrapolating words' affective ratings using their semantic similarity to words for which these values are already known. So far, most attempts have derived similarity from word co-occurrence in text corpora. In the current paper, we obtain similarity from word association data. We use these similarity ratings to predict the valence, arousal, and dominance of 14,000 Dutch words with the help of two extrapolation methods: Orientation towards Paradigm Words and k-Nearest Neighbors. The resulting estimates show very high correlations with human ratings when using Orientation towards Paradigm Words, and even higher correlations when using k-Nearest Neighbors. We discuss possible theoretical accounts of our results and compare our findings with previous attempts at computationally generating affective norms.

  14. Statistical Laws Governing Fluctuations in Word Use from Word Birth to Word Death

    NASA Astrophysics Data System (ADS)

    Petersen, Alexander M.; Tenenbaum, Joel; Havlin, Shlomo; Stanley, H. Eugene

    2012-03-01

    We analyze the dynamic properties of 107 words recorded in English, Spanish and Hebrew over the period 1800-2008 in order to gain insight into the coevolution of language and culture. We report language independent patterns useful as benchmarks for theoretical models of language evolution. A significantly decreasing (increasing) trend in the birth (death) rate of words indicates a recent shift in the selection laws governing word use. For new words, we observe a peak in the growth-rate fluctuations around 40 years after introduction, consistent with the typical entry time into standard dictionaries and the human generational timescale. Pronounced changes in the dynamics of language during periods of war shows that word correlations, occurring across time and between words, are largely influenced by coevolutionary social, technological, and political factors. We quantify cultural memory by analyzing the long-term correlations in the use of individual words using detrended fluctuation analysis.

  15. A Kind of Optimization Method of Loading Documents in OpenOffice.org

    NASA Astrophysics Data System (ADS)

    Lan, Yuqing; Li, Li; Zhou, Wenbin

    As a giant in open source community, OpenOffice.org has become the most popular office suite within Linux community. But OpenOffice.org is relatively slow while loading documents. Research shows that the most time consuming part is importing one page of whole document. If there are many pages in a document, the accumulation of time consumed can be astonishing. Therefore, this paper proposes a solution, which has improved the speed of loading documents through asynchronous importing mechanism: a document is not imported as a whole, but only part of the document is imported at first for display, then mechanism in the background is started to asynchronously import the remaining parts, and insert it into the drawing queue of OpenOffice.org for display. In this way, the problem can be solved and users don't have to wait for a long time. Application start-up time testing tool has been used to test the time consumed in loading different pages of documents before and after optimization of OpenOffice.org, then, we adopt the regression theory to analyse the correlation between the page number of documents and the loading time. In addition, visual modeling of the experimental data are acquired with the aid of matlab. An obvious increase in loading speed can be seen after a comparison of the time consumed to load a document before and after the solution is adopted. And then, using Microsoft Office compared with the optimized OpenOffice.org, their loading speeds are almost same. The results of the experiments show the effectiveness of this solution.

  16. Inserting Phase Change Lines into Microsoft Excel® Graphs.

    PubMed

    Dubuque, Erick M

    2015-10-01

    Microsoft Excel® is a popular graphing tool used by behavior analysts to visually display data. However, this program is not always friendly to the graphing conventions used by behavior analysts. For example, adding phase change lines has typically been a cumbersome process involving the insertion of line objects that do not move when new data is added to a graph. The purpose of this article is to describe a novel way to add phase change lines that move when new data is added and when graphs are resized.

  17. How Parents Introduce New Words to Young Children: The Influence of Development and Developmental Disorders

    PubMed Central

    Adamson, Lauren B.; Bakeman, Roger; Brandon, Benjamin

    2015-01-01

    This study documents how parents weave new words into on-going interactions with children who are just beginning to speak. Dyads with typically developing toddlers and with young children with autism spectrum disorder and Down syndrome (n = 56, 23, and 29) were observed using a Communication Play Protocol during which parents could use novel words to refer to novel objects. Parents readily introduced both labels and sound words even when their child did not respond expressively or produce the words. Results highlight both how parents act in ways that may facilitate their child's appreciation of the relation between a new word and its referent and how they subtly adjust their actions to suit their child's level of word learning and specific learning challenges. PMID:25863927

  18. Differences in word associations to pictures and words.

    PubMed

    Saffran, Eleanor M; Coslett, H Branch; Keener, Matthew T

    2003-01-01

    Normal subjects were asked to produce the "first word that comes to mind" in response to pictures or words that differed with respect to manipulability and animacy. In separate analyses across subjects and items, normal subjects produced a significantly higher proportion of action words (that is, verbs) to pictures as compared to words, to manipulable as compared to non-manipulable stimuli and to inanimate as compared to animate stimuli. The largest proportion of action words was elicited by pictures of non-living, manipulable objects. Furthermore, associates to words matched standard word associates significantly more often than those elicited by pictures. These data suggest that pictures and words initially contact different forms of conceptual information and are consistent with an account of semantic organization that assumes that information is distributed across different domains reflecting the mode of acquisition of that knowledge.

  19. Statistical Laws Governing Fluctuations in Word Use from Word Birth to Word Death

    PubMed Central

    Petersen, Alexander M.; Tenenbaum, Joel; Havlin, Shlomo; Stanley, H. Eugene

    2012-01-01

    We analyze the dynamic properties of 107 words recorded in English, Spanish and Hebrew over the period 1800–2008 in order to gain insight into the coevolution of language and culture. We report language independent patterns useful as benchmarks for theoretical models of language evolution. A significantly decreasing (increasing) trend in the birth (death) rate of words indicates a recent shift in the selection laws governing word use. For new words, we observe a peak in the growth-rate fluctuations around 40 years after introduction, consistent with the typical entry time into standard dictionaries and the human generational timescale. Pronounced changes in the dynamics of language during periods of war shows that word correlations, occurring across time and between words, are largely influenced by coevolutionary social, technological, and political factors. We quantify cultural memory by analyzing the long-term correlations in the use of individual words using detrended fluctuation analysis. PMID:22423321

  20. Attentional Cuing in Math Word Problems for Girls At-Risk for ADHD and Their Peers in General Education Settings

    ERIC Educational Resources Information Center

    Kercood, Suneeta; Zentall, Sydney S.; Vinh, Megan; Tom-Wright, Kinsey

    2012-01-01

    The purpose of this theoretically-based study was to examine the effects of yellow-highlighting "relevant" words and units within math word problems. Initial differences were documented between 10 girls at-risk for ADHD and 10 comparisons on the performance of group and individual assessments of math computations and word problems, as had…

  1. The Activation of Embedded Words in Spoken Word Recognition.

    PubMed

    Zhang, Xujin; Samuel, Arthur G

    2015-01-01

    The current study investigated how listeners understand English words that have shorter words embedded in them. A series of auditory-auditory priming experiments assessed the activation of six types of embedded words (2 embedded positions × 3 embedded proportions) under different listening conditions. Facilitation of lexical decision responses to targets (e.g., pig) associated with words embedded in primes (e.g., hamster ) indexed activation of the embedded words (e.g., ham ). When the listening conditions were optimal, isolated embedded words (e.g., ham ) primed their targets in all six conditions (Experiment 1a). Within carrier words (e.g., hamster ), the same set of embedded words produced priming only when they were at the beginning or comprised a large proportion of the carrier word (Experiment 1b). When the listening conditions were made suboptimal by expanding or compressing the primes, significant priming was found for isolated embedded words (Experiment 2a), but no priming was produced when the carrier words were compressed/expanded (Experiment 2b). Similarly, priming was eliminated when the carrier words were presented with one segment replaced by noise (Experiment 3). When cognitive load was imposed, priming for embedded words was again found when they were presented in isolation (Experiment 4a), but not when they were embedded in the carrier words (Experiment 4b). The results suggest that both embedded position and proportion play important roles in the activation of embedded words, but that such activation only occurs under unusually good listening conditions.

  2. The Effect of Using Microsoft Excel in a High School Algebra Class

    ERIC Educational Resources Information Center

    Neurath, Rachel A.; Stephens, Larry J.

    2006-01-01

    The purpose of this study was to investigate the effect of integrating Microsoft Excel into a high school algebra class. The results indicate a slight increase in student achievement when Excel was used. A teacher-created final exam and two Criterion Referenced Tests measured success. One of the Criterion Referenced Tests indicated that the…

  3. A Few Words about Words | Poster

    Cancer.gov

    By Ken Michaels, Guest Writer In Shakepeare’s play “Hamlet,” Polonius inquires of the prince, “What do you read, my lord?” Not at all pleased with what he’s reading, Hamlet replies, “Words, words, words.”1 I have previously described the communication model in which a sender encodes a message and then sends it via some channel (or medium) to a receiver, who decodes the message and, ideally, understands what was sent. Surely the most common way of encoding a message is in choosing the most appropriate words for the listener or reader.

  4. Methods and means used in programming intelligent searches of technical documents

    NASA Technical Reports Server (NTRS)

    Gross, David L.

    1993-01-01

    In order to meet the data research requirements of the Safety, Reliability & Quality Assurance activities at Kennedy Space Center (KSC), a new computer search method for technical data documents was developed. By their very nature, technical documents are partially encrypted because of the author's use of acronyms, abbreviations, and shortcut notations. This problem of computerized searching is compounded at KSC by the volume of documentation that is produced during normal Space Shuttle operations. The Centralized Document Database (CDD) is designed to solve this problem. It provides a common interface to an unlimited number of files of various sizes, with the capability to perform any diversified types and levels of data searches. The heart of the CDD is the nature and capability of its search algorithms. The most complex form of search that the program uses is with the use of a domain-specific database of acronyms, abbreviations, synonyms, and word frequency tables. This database, along with basic sentence parsing, is used to convert a request for information into a relational network. This network is used as a filter on the original document file to determine the most likely locations for the data requested. This type of search will locate information that traditional techniques, (i.e., Boolean structured key-word searching), would not find.

  5. The Activation of Embedded Words in Spoken Word Recognition

    PubMed Central

    Zhang, Xujin; Samuel, Arthur G.

    2015-01-01

    The current study investigated how listeners understand English words that have shorter words embedded in them. A series of auditory-auditory priming experiments assessed the activation of six types of embedded words (2 embedded positions × 3 embedded proportions) under different listening conditions. Facilitation of lexical decision responses to targets (e.g., pig) associated with words embedded in primes (e.g., hamster) indexed activation of the embedded words (e.g., ham). When the listening conditions were optimal, isolated embedded words (e.g., ham) primed their targets in all six conditions (Experiment 1a). Within carrier words (e.g., hamster), the same set of embedded words produced priming only when they were at the beginning or comprised a large proportion of the carrier word (Experiment 1b). When the listening conditions were made suboptimal by expanding or compressing the primes, significant priming was found for isolated embedded words (Experiment 2a), but no priming was produced when the carrier words were compressed/expanded (Experiment 2b). Similarly, priming was eliminated when the carrier words were presented with one segment replaced by noise (Experiment 3). When cognitive load was imposed, priming for embedded words was again found when they were presented in isolation (Experiment 4a), but not when they were embedded in the carrier words (Experiment 4b). The results suggest that both embedded position and proportion play important roles in the activation of embedded words, but that such activation only occurs under unusually good listening conditions. PMID:25593407

  6. imDEV: a graphical user interface to R multivariate analysis tools in Microsoft Excel.

    PubMed

    Grapov, Dmitry; Newman, John W

    2012-09-01

    Interactive modules for Data Exploration and Visualization (imDEV) is a Microsoft Excel spreadsheet embedded application providing an integrated environment for the analysis of omics data through a user-friendly interface. Individual modules enables interactive and dynamic analyses of large data by interfacing R's multivariate statistics and highly customizable visualizations with the spreadsheet environment, aiding robust inferences and generating information-rich data visualizations. This tool provides access to multiple comparisons with false discovery correction, hierarchical clustering, principal and independent component analyses, partial least squares regression and discriminant analysis, through an intuitive interface for creating high-quality two- and a three-dimensional visualizations including scatter plot matrices, distribution plots, dendrograms, heat maps, biplots, trellis biplots and correlation networks. Freely available for download at http://sourceforge.net/projects/imdev/. Implemented in R and VBA and supported by Microsoft Excel (2003, 2007 and 2010).

  7. Morphological Effects in Auditory Word Recognition: Evidence from Danish

    ERIC Educational Resources Information Center

    Balling, Laura Winther; Baayen, R. Harald

    2008-01-01

    In this study, we investigate the processing of morphologically complex words in Danish using auditory lexical decision. We document a second critical point in auditory comprehension in addition to the Uniqueness Point (UP), namely the point at which competing morphological continuation forms of the base cease to be compatible with the input,…

  8. Improving Elementary Students' Spelling Achievement Using High-Frequency Words.

    ERIC Educational Resources Information Center

    Durnil, Christina; And Others

    An action research study detailed a program for improving spelling achievement across the curriculum. The targeted population is composed of second and third grade students from a growing, middle class community located in a suburb of Chicago, Illinois. The problem of misspelled words in the students' writing was documented through students'…

  9. Understanding the Degrees of Freedom of Sample Variance by Using Microsoft Excel

    ERIC Educational Resources Information Center

    Ding, Jian-Hua; Jin, Xian-Wen; Shuai, Ling-Ying

    2017-01-01

    In this article, the degrees of freedom of the sample variance are simulated by using the Visual Basic for Applications of Microsoft Excel 2010. The simulation file dynamically displays why the sample variance should be calculated by dividing the sum of squared deviations by n-1 rather than n, which is helpful for students to grasp the meaning of…

  10. The influence of autonomic arousal and semantic relatedness on memory for emotional words.

    PubMed

    Buchanan, Tony W; Etzel, Joset A; Adolphs, Ralph; Tranel, Daniel

    2006-07-01

    Increased memory for emotional stimuli is a well-documented phenomenon. Emotional arousal during the encoding of a stimulus is one mediator of this memory enhancement. Other variables such as semantic relatedness also play a role in the enhanced memory for emotional stimuli, especially for verbal stimuli. Research has not addressed the contributions of emotional arousal, indexed by self-report and autonomic measures, and semantic relatedness on memory performance. Twenty young adults (10 women) were presented neutral-unrelated words, school-related words, moderately arousing emotional words, and highly arousing taboo words while heart rate and skin conductance were measured. Memory was tested with free recall and recognition tests. Results showed that taboo words, which were both semantically related and high arousal were remembered best. School-related words, which were high on semantic relatedness but low on arousal, were remembered better than the moderately arousing emotional words and semantically unrelated neutral words. Psychophysiological responses showed that within the moderately arousing emotional and neutral word groups, those words eliciting greater autonomic activity were better remembered than words that did not elicit such activity. These results demonstrate additive effects of semantic relatedness and emotional arousal on memory. Relatedness confers an advantage to memory (as in the school-words), but the combination of relatedness and arousal (as in the taboo words) results in the best memory performance.

  11. How parents introduce new words to young children: The influence of development and developmental disorders.

    PubMed

    Adamson, Lauren B; Bakeman, Roger; Brandon, Benjamin

    2015-05-01

    This study documents how parents weave new words into on-going interactions with children who are just beginning to speak. Dyads with typically developing toddlers and with young children with autism spectrum disorder and Down syndrome (n=56, 23, and 29) were observed using a Communication Play Protocol during which parents could use novel words to refer to novel objects. Parents readily introduced both labels and sound words even when their child did not respond expressively or produce the words. Results highlight both how parents act in ways that may facilitate their child's appreciation of the relation between a new word and its referent and how they subtly adjust their actions to suit their child's level of word learning and specific learning challenges. Copyright © 2015 Elsevier Inc. All rights reserved.

  12. Probability and surprisal in auditory comprehension of morphologically complex words.

    PubMed

    Balling, Laura Winther; Baayen, R Harald

    2012-10-01

    Two auditory lexical decision experiments document for morphologically complex words two points at which the probability of a target word given the evidence shifts dramatically. The first point is reached when morphologically unrelated competitors are no longer compatible with the evidence. Adapting terminology from Marslen-Wilson (1984), we refer to this as the word's initial uniqueness point (UP1). The second point is the complex uniqueness point (CUP) introduced by Balling and Baayen (2008), at which morphologically related competitors become incompatible with the input. Later initial as well as complex uniqueness points predict longer response latencies. We argue that the effects of these uniqueness points arise due to the large surprisal (Levy, 2008) carried by the phonemes at these uniqueness points, and provide independent evidence that how cumulative surprisal builds up in the course of the word co-determines response latencies. The presence of effects of surprisal, both at the initial uniqueness point of complex words, and cumulatively throughout the word, challenges the Shortlist B model of Norris and McQueen (2008), and suggests that a Bayesian approach to auditory comprehension requires complementation from information theory in order to do justice to the cognitive cost of updating probability distributions over lexical candidates. Copyright © 2012 Elsevier B.V. All rights reserved.

  13. 76 FR 42164 - Announcement of Competition Under the America COMPETES Reauthorization Act of 2011

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-07-18

    ... listing will be in a format completely compatible with Microsoft Excel 2007 and contain the information... by VA. The narrative will be in a format completely compatible with Microsoft Word 2007, not...

  14. Social interaction facilitates word learning in preverbal infants: Word-object mapping and word segmentation.

    PubMed

    Hakuno, Yoko; Omori, Takahide; Yamamoto, Jun-Ichi; Minagawa, Yasuyo

    2017-08-01

    In natural settings, infants learn spoken language with the aid of a caregiver who explicitly provides social signals. Although previous studies have demonstrated that young infants are sensitive to these signals that facilitate language development, the impact of real-life interactions on early word segmentation and word-object mapping remains elusive. We tested whether infants aged 5-6 months and 9-10 months could segment a word from continuous speech and acquire a word-object relation in an ecologically valid setting. In Experiment 1, infants were exposed to a live tutor, while in Experiment 2, another group of infants were exposed to a televised tutor. Results indicate that both younger and older infants were capable of segmenting a word and learning a word-object association only when the stimuli were derived from a live tutor in a natural manner, suggesting that real-life interaction enhances the learning of spoken words in preverbal infants. Copyright © 2017 Elsevier Inc. All rights reserved.

  15. Simulation of complex pharmacokinetic models in Microsoft Excel.

    PubMed

    Meineke, Ingolf; Brockmöller, Jürgen

    2007-12-01

    With the arrival of powerful personal computers in the office numerical methods are accessible to everybody. Simulation of complex processes therefore has become an indispensible tool in research and education. In this paper Microsoft EXCEL is used as a platform for a universal differential equation solver. The software is designed as an add-in aiming at a minimum of required user input to perform a given task. Four examples are included to demonstrate both, the simplicity of use and the versatility of possible applications. While the layout of the program is admittedly geared to the needs of pharmacokineticists, it can be used in any field where sets of differential equations are involved. The software package is available upon request.

  16. Teaching Fundamental Skills in Microsoft Excel to First-Year Students in Quantitative Analysis

    ERIC Educational Resources Information Center

    Rubin, Samuel J.; Abrams, Binyomin

    2015-01-01

    Despite their technological savvy, most students entering university lack the necessary computer skills to succeed in a quantitative analysis course, in which they are often expected to input, analyze, and plot results of experiments without any previous formal education in Microsoft Excel or similar programs. This lack of formal education results…

  17. imDEV: a graphical user interface to R multivariate analysis tools in Microsoft Excel

    USDA-ARS?s Scientific Manuscript database

    Interactive modules for data exploration and visualization (imDEV) is a Microsoft Excel spreadsheet embedded application providing an integrated environment for the analysis of omics data sets with a user-friendly interface. Individual modules were designed to provide toolsets to enable interactive ...

  18. The effectiveness of Microsoft Project in assessing extension of time under PAM 2006 standard form of contract

    NASA Astrophysics Data System (ADS)

    Suhaida, S. K.; Wong, Z. D.

    2017-11-01

    Time is equal to money; and it is applies in the construction industry where time is very important. Most of the standard form of contracts provide contractual clauses to ascertain time and money related to the scenarios while Extension of Time (EOT) is one of them. Under circumstance and delays, contractor is allow to apply EOT in order to complete the works on a later completion date without Liquidated Damages (LD) imposed to the claimant. However, both claimants and assessors encountered problems in assessing the EOT. The aim of this research is to recommend the usage of Microsoft Project as a tool in assessing EOT associated with the standard form of contract, PAM 2006. A quantitative method is applied towards the respondents that consisted of architects and quantity surveyors (QS) in order to collect data on challenges in assessing EOT claims and the effectiveness of Microsoft Project as a tool. The finding of this research highlighted that Microsoft Project can serve as a basis to perform EOT tasks as this software can be used as a data bank to store handy information which crucial for preparing and evaluating EOT.

  19. Exchange of Stuttering From Function Words to Content Words With Age

    PubMed Central

    Howell, Peter; Au-Yeung, James; Sackin, Stevie

    2007-01-01

    Dysfluencies on function words in the speech of people who stutter mainly occur when function words precede, rather than follow, content words (Au-Yeung, Howell, & Pilgrim, 1998). It is hypothesized that such function word dysfluencies occur when the plan for the subsequent content word is not ready for execution. Repetition and hesitation on the function words buys time to complete the plan for the content word. Stuttering arises when speakers abandon the use of this delaying strategy and carry on, attempting production of the subsequent, partly prepared content word. To test these hypotheses, the relationship between dysfluency on function and content words was investigated in the spontaneous speech of 51 people who stutter and 68 people who do not stutter. These participants were subdivided into the following age groups: 2–6-year-olds, 7–9-year-olds, 10–12-year-olds, teenagers (13–18 years), and adults (20–40 years). Very few dysfluencies occurred for either fluency group on function words that occupied a position after a content word. For both fluency groups, dysfluency within each phonological word occurred predominantly on either the function word preceding the content word or on the content word itself, but not both. Fluent speakers had a higher percentage of dysfluency on initial function words than content words. Whether dysfluency occurred on initial function words or content words changed over age groups for speakers who stutter. For the 2–6-year-old speakers that stutter, there was a higher percentage of dysfluencies on initial function words than content words. In subsequent age groups, dysfluency decreased on function words and increased on content words. These data are interpreted as suggesting that fluent speakers use repetition of function words to delay production of the subsequent content words, whereas people who stutter carry on and attempt a content word on the basis of an incomplete plan. PMID:10229451

  20. A Few Words about Words | Poster

    Cancer.gov

    By Ken Michaels, Guest Writer In Shakepeare’s play “Hamlet,” Polonius inquires of the prince, “What do you read, my lord?” Not at all pleased with what he’s reading, Hamlet replies, “Words, words, words.”1 I have previously described the communication model in which a sender encodes a message and then sends it via some channel (or medium) to a receiver, who decodes the message

  1. Analyzing Document Retrievability in Patent Retrieval Settings

    NASA Astrophysics Data System (ADS)

    Bashir, Shariq; Rauber, Andreas

    Most information retrieval settings, such as web search, are typically precision-oriented, i.e. they focus on retrieving a small number of highly relevant documents. However, in specific domains, such as patent retrieval or law, recall becomes more relevant than precision: in these cases the goal is to find all relevant documents, requiring algorithms to be tuned more towards recall at the cost of precision. This raises important questions with respect to retrievability and search engine bias: depending on how the similarity between a query and documents is measured, certain documents may be more or less retrievable in certain systems, up to some documents not being retrievable at all within common threshold settings. Biases may be oriented towards popularity of documents (increasing weight of references), towards length of documents, favour the use of rare or common words; rely on structural information such as metadata or headings, etc. Existing accessibility measurement techniques are limited as they measure retrievability with respect to all possible queries. In this paper, we improve accessibility measurement by considering sets of relevant and irrelevant queries for each document. This simulates how recall oriented users create their queries when searching for relevant information. We evaluate retrievability scores using a corpus of patents from US Patent and Trademark Office.

  2. Words and possible words in early language acquisition.

    PubMed

    Marchetto, Erika; Bonatti, Luca L

    2013-11-01

    In order to acquire language, infants must extract its building blocks-words-and master the rules governing their legal combinations from speech. These two problems are not independent, however: words also have internal structure. Thus, infants must extract two kinds of information from the same speech input. They must find the actual words of their language. Furthermore, they must identify its possible words, that is, the sequences of sounds that, being morphologically well formed, could be words. Here, we show that infants' sensitivity to possible words appears to be more primitive and fundamental than their ability to find actual words. We expose 12- and 18-month-old infants to an artificial language containing a conflict between statistically coherent and structurally coherent items. We show that 18-month-olds can extract possible words when the familiarization stream contains marks of segmentation, but cannot do so when the stream is continuous. Yet, they can find actual words from a continuous stream by computing statistical relationships among syllables. By contrast, 12-month-olds can find possible words when familiarized with a segmented stream, but seem unable to extract statistically coherent items from a continuous stream that contains minimal conflicts between statistical and structural information. These results suggest that sensitivity to word structure is in place earlier than the ability to analyze distributional information. The ability to compute nontrivial statistical relationships becomes fully effective relatively late in development, when infants have already acquired a considerable amount of linguistic knowledge. Thus, mechanisms for structure extraction that do not rely on extensive sampling of the input are likely to have a much larger role in language acquisition than general-purpose statistical abilities. Copyright © 2013. Published by Elsevier Inc.

  3. A Guide to Fast and Simple Web Site Development. Using Microsoft FrontPage.

    ERIC Educational Resources Information Center

    La, Minh; Beachler, Judith

    Designed by California's Los Rios Community College District for use in instructional workshops, this guide is intended to help institutional researchers create World Wide Web sites using Microsoft FrontPage (MF) software. The first part of the guide presents practical suggestions for working with the software to create a site, covering the…

  4. Groundwater, A century of word evolution

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Diefendorf, A.F.

    1995-08-01

    Words, especially those that apply directly to more than one discipline, often become the object of intense debate among professionals in those disciplines. This is particularly true with those people who have to deal with technical jargon on a day-to-day basis and who are concerned that scientific facts get communicated in as clear and concise a manner as possible. Communications regarding environmental restoration projects for the US Department of Energy are no exception. Lockheed Martin Energy Systems, Inc., its subcontractors and other prime contractors often disagree about the spelling and use of compound words. This frequently results in inconsistent spellingmore » between project reports and incorrect spelling of referenced document titles. The following discussion is an attempt to provide an objective, in-depth examination of the evolution of one particular word and recommendations for its proper and consistent use. This discussion is the result of an extensive literature search conducted within the library system at Oak Ridge National Laboratory as well as the personal geologic libraries of the author and colleagues. The author has attempted to cite only those works produced by recognized names in the related disciplines or those works that constitute common references or glossaries.« less

  5. Typograph: Multiscale Spatial Exploration of Text Documents

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Endert, Alexander; Burtner, Edwin R.; Cramer, Nicholas O.

    2013-12-01

    Visualizing large document collections using a spatial layout of terms can enable quick overviews of information. However, these metaphors (e.g., word clouds, tag clouds, etc.) often lack interactivity to explore the information and the location and rendering of the terms are often not based on mathematical models that maintain relative distances from other information based on similarity metrics. Further, transitioning between levels of detail (i.e., from terms to full documents) can be challanging. In this paper, we present Typograph, a multi-scale spatial exploration visualization for large document collections. Based on the term-based visualization methods, Typograh enables multipel levels of detailmore » (terms, phrases, snippets, and full documents) within the single spatialization. Further, the information is placed based on their relative similarity to other information to create the “near = similar” geography metaphor. This paper discusses the design principles and functionality of Typograph and presents a use case analyzing Wikipedia to demonstrate usage.« less

  6. SDDL- SOFTWARE DESIGN AND DOCUMENTATION LANGUAGE

    NASA Technical Reports Server (NTRS)

    Kleine, H.

    1994-01-01

    Effective, efficient communication is an essential element of the software development process. The Software Design and Documentation Language (SDDL) provides an effective communication medium to support the design and documentation of complex software applications. SDDL supports communication between all the members of a software design team and provides for the production of informative documentation on the design effort. Even when an entire development task is performed by a single individual, it is important to explicitly express and document communication between the various aspects of the design effort including concept development, program specification, program development, and program maintenance. SDDL ensures that accurate documentation will be available throughout the entire software life cycle. SDDL offers an extremely valuable capability for the design and documentation of complex programming efforts ranging from scientific and engineering applications to data management and business sytems. Throughout the development of a software design, the SDDL generated Software Design Document always represents the definitive word on the current status of the ongoing, dynamic design development process. The document is easily updated and readily accessible in a familiar, informative form to all members of the development team. This makes the Software Design Document an effective instrument for reconciling misunderstandings and disagreements in the development of design specifications, engineering support concepts, and the software design itself. Using the SDDL generated document to analyze the design makes it possible to eliminate many errors that might not be detected until coding and testing is attempted. As a project management aid, the Software Design Document is useful for monitoring progress and for recording task responsibilities. SDDL is a combination of language, processor, and methodology. The SDDL syntax consists of keywords to invoke design structures

  7. Contribution to terminology internationalization by word alignment in parallel corpora.

    PubMed

    Deléger, Louise; Merkel, Magnus; Zweigenbaum, Pierre

    2006-01-01

    Creating a complete translation of a large vocabulary is a time-consuming task, which requires skilled and knowledgeable medical translators. Our goal is to examine to which extent such a task can be alleviated by a specific natural language processing technique, word alignment in parallel corpora. We experiment with translation from English to French. Build a large corpus of parallel, English-French documents, and automatically align it at the document, sentence and word levels using state-of-the-art alignment methods and tools. Then project English terms from existing controlled vocabularies to the aligned word pairs, and examine the number and quality of the putative French translations obtained thereby. We considered three American vocabularies present in the UMLS with three different translation statuses: the MeSH, SNOMED CT, and the MedlinePlus Health Topics. We obtained several thousand new translations of our input terms, this number being closely linked to the number of terms in the input vocabularies. Our study shows that alignment methods can extract a number of new term translations from large bodies of text with a moderate human reviewing effort, and thus contribute to help a human translator obtain better translation coverage of an input vocabulary. Short-term perspectives include their application to a corpus 20 times larger than that used here, together with more focused methods for term extraction.

  8. Contribution to Terminology Internationalization by Word Alignment in Parallel Corpora

    PubMed Central

    Deléger, Louise; Merkel, Magnus; Zweigenbaum, Pierre

    2006-01-01

    Background and objectives Creating a complete translation of a large vocabulary is a time-consuming task, which requires skilled and knowledgeable medical translators. Our goal is to examine to which extent such a task can be alleviated by a specific natural language processing technique, word alignment in parallel corpora. We experiment with translation from English to French. Methods Build a large corpus of parallel, English-French documents, and automatically align it at the document, sentence and word levels using state-of-the-art alignment methods and tools. Then project English terms from existing controlled vocabularies to the aligned word pairs, and examine the number and quality of the putative French translations obtained thereby. We considered three American vocabularies present in the UMLS with three different translation statuses: the MeSH, SNOMED CT, and the MedlinePlus Health Topics. Results We obtained several thousand new translations of our input terms, this number being closely linked to the number of terms in the input vocabularies. Conclusion Our study shows that alignment methods can extract a number of new term translations from large bodies of text with a moderate human reviewing effort, and thus contribute to help a human translator obtain better translation coverage of an input vocabulary. Short-term perspectives include their application to a corpus 20 times larger than that used here, together with more focused methods for term extraction. PMID:17238328

  9. Word Spotting.

    ERIC Educational Resources Information Center

    McQueen, James

    1996-01-01

    Summarizes the use of word-spotting in psycholinguistic research. Notes that listeners hear a list of nonsense words, some of which contain embedded real words, and they detect those embedded words, a task designed to study the segmentation of continuous speech. Describes the task and summarizes its advantages and disadvantages. (12 references)…

  10. Intelligent bar chart plagiarism detection in documents.

    PubMed

    Al-Dabbagh, Mohammed Mumtaz; Salim, Naomie; Rehman, Amjad; Alkawaz, Mohammed Hazim; Saba, Tanzila; Al-Rodhaan, Mznah; Al-Dhelaan, Abdullah

    2014-01-01

    This paper presents a novel features mining approach from documents that could not be mined via optical character recognition (OCR). By identifying the intimate relationship between the text and graphical components, the proposed technique pulls out the Start, End, and Exact values for each bar. Furthermore, the word 2-gram and Euclidean distance methods are used to accurately detect and determine plagiarism in bar charts.

  11. Intelligent Bar Chart Plagiarism Detection in Documents

    PubMed Central

    Al-Dabbagh, Mohammed Mumtaz; Salim, Naomie; Alkawaz, Mohammed Hazim; Saba, Tanzila; Al-Rodhaan, Mznah; Al-Dhelaan, Abdullah

    2014-01-01

    This paper presents a novel features mining approach from documents that could not be mined via optical character recognition (OCR). By identifying the intimate relationship between the text and graphical components, the proposed technique pulls out the Start, End, and Exact values for each bar. Furthermore, the word 2-gram and Euclidean distance methods are used to accurately detect and determine plagiarism in bar charts. PMID:25309952

  12. Scientific Data Analysis Toolkit: A Versatile Add-in to Microsoft Excel for Windows

    ERIC Educational Resources Information Center

    Halpern, Arthur M.; Frye, Stephen L.; Marzzacco, Charles J.

    2018-01-01

    Scientific Data Analysis Toolkit (SDAT) is a rigorous, versatile, and user-friendly data analysis add-in application for Microsoft Excel for Windows (PC). SDAT uses the familiar Excel environment to carry out most of the analytical tasks used in data analysis. It has been designed for student use in manipulating and analyzing data encountered in…

  13. “Hybrid Topics” -- Facilitating the Interpretation of Topics Through the Addition of MeSH Descriptors to Bags of Words

    PubMed Central

    Yu, Zhiguo; Nguyen, Thang; Dhombres, Ferdinand; Johnson, Todd; Bodenreider, Olivier

    2018-01-01

    Extracting and understanding information, themes and relationships from large collections of documents is an important task for biomedical researchers. Latent Dirichlet Allocation is an unsupervised topic modeling technique using the bag-of-words assumption that has been applied extensively to unveil hidden thematic information within large sets of documents. In this paper, we added MeSH descriptors to the bag-of-words assumption to generate ‘hybrid topics’, which are mixed vectors of words and descriptors. We evaluated this approach on the quality and interpretability of topics in both a general corpus and a specialized corpus. Our results demonstrated that the coherence of ‘hybrid topics’ is higher than that of regular bag-of-words topics in the specialized corpus. We also found that the proportion of topics that are not associated with MeSH descriptors is higher in the specialized corpus than in the general corpus. PMID:29295179

  14. Classification of forensic autopsy reports through conceptual graph-based document representation model.

    PubMed

    Mujtaba, Ghulam; Shuib, Liyana; Raj, Ram Gopal; Rajandram, Retnagowri; Shaikh, Khairunisa; Al-Garadi, Mohammed Ali

    2018-06-01

    Text categorization has been used extensively in recent years to classify plain-text clinical reports. This study employs text categorization techniques for the classification of open narrative forensic autopsy reports. One of the key steps in text classification is document representation. In document representation, a clinical report is transformed into a format that is suitable for classification. The traditional document representation technique for text categorization is the bag-of-words (BoW) technique. In this study, the traditional BoW technique is ineffective in classifying forensic autopsy reports because it merely extracts frequent but discriminative features from clinical reports. Moreover, this technique fails to capture word inversion, as well as word-level synonymy and polysemy, when classifying autopsy reports. Hence, the BoW technique suffers from low accuracy and low robustness unless it is improved with contextual and application-specific information. To overcome the aforementioned limitations of the BoW technique, this research aims to develop an effective conceptual graph-based document representation (CGDR) technique to classify 1500 forensic autopsy reports from four (4) manners of death (MoD) and sixteen (16) causes of death (CoD). Term-based and Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) based conceptual features were extracted and represented through graphs. These features were then used to train a two-level text classifier. The first level classifier was responsible for predicting MoD. In addition, the second level classifier was responsible for predicting CoD using the proposed conceptual graph-based document representation technique. To demonstrate the significance of the proposed technique, its results were compared with those of six (6) state-of-the-art document representation techniques. Lastly, this study compared the effects of one-level classification and two-level classification on the experimental results

  15. Procedural Adaptations for Use of Constant Time Delay to Teach Highly Motivating Words to Beginning Braille Readers

    ERIC Educational Resources Information Center

    Ivy, Sarah E.; Guerra, Jennifer A.; Hatton, Deborah D.

    2017-01-01

    Introduction: Constant time delay is an evidence-based practice to teach sight word recognition to students with a variety of disabilities. To date, two studies have documented its effectiveness for teaching braille. Methods: Using a multiple-baseline design, we evaluated the effectiveness of constant time delay to teach highly motivating words to…

  16. Fracture Testing of Large-Scale Thin-Sheet Aluminum Alloy (MS Word file)

    DOT National Transportation Integrated Search

    1996-02-01

    Word Document; A series of fracture tests on large-scale, precracked, aluminum alloy panels were carried out to examine and characterize the process by which cracks propagate and link up in this material. Extended grips and test fixtures were special...

  17. Effects of Word Width and Word Length on Optimal Character Size for Reading of Horizontally Scrolling Japanese Words

    PubMed Central

    Teramoto, Wataru; Nakazaki, Takuyuki; Sekiyama, Kaoru; Mori, Shuji

    2016-01-01

    The present study investigated, whether word width and length affect the optimal character size for reading of horizontally scrolling Japanese words, using reading speed as a measure. In Experiment 1, three Japanese words, each consisting of four Hiragana characters, sequentially scrolled on a display screen from right to left. Participants, all Japanese native speakers, were instructed to read the words aloud as accurately as possible, irrespective of their order within the sequence. To quantitatively measure their reading performance, we used rapid serial visual presentation paradigm, where the scrolling rate was increased until the participants began to make mistakes. Thus, the highest scrolling rate at which the participants’ performance exceeded 88.9% correct rate was calculated for each character size (0.3°, 0.6°, 1.0°, and 3.0°) and scroll window size (5 or 10 character spaces). Results showed that the reading performance was highest in the range of 0.6° to 1.0°, irrespective of the scroll window size. Experiment 2 investigated whether the optimal character size observed in Experiment 1 was applicable for any word width and word length (i.e., the number of characters in a word). Results showed that reading speeds were slower for longer than shorter words and the word width of 3.6° was optimal among the word lengths tested (three, four, and six character words). Considering that character size varied depending on word width and word length in the present study, this means that the optimal character size can be changed by word width and word length in scrolling Japanese words. PMID:26909052

  18. Effects of Word Width and Word Length on Optimal Character Size for Reading of Horizontally Scrolling Japanese Words.

    PubMed

    Teramoto, Wataru; Nakazaki, Takuyuki; Sekiyama, Kaoru; Mori, Shuji

    2016-01-01

    The present study investigated, whether word width and length affect the optimal character size for reading of horizontally scrolling Japanese words, using reading speed as a measure. In Experiment 1, three Japanese words, each consisting of four Hiragana characters, sequentially scrolled on a display screen from right to left. Participants, all Japanese native speakers, were instructed to read the words aloud as accurately as possible, irrespective of their order within the sequence. To quantitatively measure their reading performance, we used rapid serial visual presentation paradigm, where the scrolling rate was increased until the participants began to make mistakes. Thus, the highest scrolling rate at which the participants' performance exceeded 88.9% correct rate was calculated for each character size (0.3°, 0.6°, 1.0°, and 3.0°) and scroll window size (5 or 10 character spaces). Results showed that the reading performance was highest in the range of 0.6° to 1.0°, irrespective of the scroll window size. Experiment 2 investigated whether the optimal character size observed in Experiment 1 was applicable for any word width and word length (i.e., the number of characters in a word). Results showed that reading speeds were slower for longer than shorter words and the word width of 3.6° was optimal among the word lengths tested (three, four, and six character words). Considering that character size varied depending on word width and word length in the present study, this means that the optimal character size can be changed by word width and word length in scrolling Japanese words.

  19. Walker Ranch 3D seismic images

    DOE Data Explorer

    Robert J. Mellors

    2016-03-01

    Amplitude images (both vertical and depth slices) extracted from 3D seismic reflection survey over area of Walker Ranch area (adjacent to Raft River). Crossline spacing of 660 feet and inline of 165 feet using a Vibroseis source. Processing included depth migration. Micro-earthquake hypocenters on images. Stratigraphic information and nearby well tracks added to images. Images are embedded in a Microsoft Word document with additional information. Exact location and depth restricted for proprietary reasons. Data collection and processing funded by Agua Caliente. Original data remains property of Agua Caliente.

  20. Retrieval Performance Prediction and Document Quality

    DTIC Science & Technology

    2007-09-01

    can help. However, there are hard-to-expand queries that the method fail to detect. One is “ Legionnaires disease ” [delta average precision (REL-QL...0.248, model comparison score:-0.256 ] where documents can contain the terms “ legionnaire (meaning soldier)” and “ disease ” (and 99 related words...yet not be about Legionnaires ’ disease , leading to a low comparison score despite its hard-to-expand status. 4.5 Summary Several prediction

  1. Context as the Building Blocks of Meaning: A Retrieval Model for the Semantic Representation of Words

    DTIC Science & Technology

    2003-04-01

    8 Deconstructing the model’s output................................................................................ 9 Implications of the ideas...identified characters of a word are used as a probe to retrieve a word’s identity (its spelling and phonology ) from memory. In addition to the...document matrix has been reduced by the SVD. Deconstructing the model’s output Why do semantic relationships between words emerge from the model? Is the

  2. Documentation of model input and output values for simulation of pumping effects in Paradise Valley, a basin tributary to the Humboldt River, Humboldt County, Nevada

    USGS Publications Warehouse

    Carey, A.E.; Prudic, David E.

    1996-01-01

    Documentation is provided of model input and sample output used in a previous report for analysis of ground-water flow and simulated pumping scenarios in Paradise Valley, Humboldt County, Nevada.Documentation includes files containing input values and listings of sample output. The files, in American International Standard Code for Information Interchange (ASCII) or binary format, are compressed and put on a 3-1/2-inch diskette. The decompressed files require approximately 8.4 megabytes of disk space on an International Business Machine (IBM)- compatible microcomputer using the MicroSoft Disk Operating System (MS-DOS) operating system version 5.0 or greater.

  3. Word Links: A Strategy for Developing Word Knowledge

    ERIC Educational Resources Information Center

    Yopp, Ruth Helen

    2007-01-01

    Word Links, an effective strategy for developing students' vocabulary, is based on four principles. It provides contextual and definitional information; offers repeated exposure to words and opportunities to practice them; encourages students to think about relationships among word meanings; and involves active engagement in learning tasks. Yopp…

  4. Skipped words and fixated words are processed differently during reading.

    PubMed

    Eskenazi, Michael A; Folk, Jocelyn R

    2015-04-01

    The purpose of this study was to investigate whether words are processed differently when they are fixated during silent reading than when they are skipped. According to a serial processing model of eye movement control (e.g., EZ Reader) skipped words are fully processed (Reichle, Rayner, Pollatsek, Behavioral and Brain Sciences, 26(04):445-476, 2003), whereas in a parallel processing model (e.g., SWIFT) skipped words do not need to be fully processed (Engbert, Nuthmann, Richter, Kliegl, Psychological Review, 112(4):777-813, 2005). Participants read 34 sentences with target words embedded in them while their eye movements were recorded. All target words were three-letter, low-frequency, and unpredictable nouns. After the reading session, participants completed a repetition priming lexical decision task with the target words from the reading session included as the repetition prime targets, with presentation of those same words during the reading task acting as the prime. When participants skipped a word during the reading session, their reaction times on the lexical decision task were significantly longer (M = 656.42 ms) than when they fixated the word (M = 614.43 ms). This result provides evidence that skipped words are sometimes not processed to the same degree as fixated words during reading.

  5. The word class effect in the picture–word interference paradigm

    PubMed Central

    Janssen, Niels; Melinger, Alissa; Mahon, Bradford Z.; Finkbeiner, Matthew; Caramazza, Alfonso

    2010-01-01

    The word class effect in the picture–word interference paradigm is a highly influential finding that has provided some of the most compelling support for word class constraints on lexical selection. However, methodological concerns called for a replication of the most convincing of those effects. Experiment 1 was a direct replication of Pechmann and Zerbst (2002; Experiment 4). Participants named pictures of objects in the context of noun and adverb distractors. Naming took place in bare noun and sentence frame contexts. A word class effect emerged in both bare noun and sentence frame naming conditions, suggesting a semantic origin of the effect. In Experiment 2, participants named objects in the context of noun and verb distractors whose word class relationship to the target and imageability were orthogonally manipulated. As before, naming took place in bare noun and sentence frame naming contexts. In both naming contexts, distractor imageability but not word class affected picture naming latencies. These findings confirm the sensitivity of the picture–word interference paradigm to distractor imageability and suggest the paradigm is not sensitive to distractor word class. The results undermine the use of the word class effect in the picture–word interference paradigm as supportive of word class constraints during lexical selection. PMID:19998070

  6. Photograph + Printed Word: A New Language for the Student Journalist.

    ERIC Educational Resources Information Center

    Magmer, James

    This document examines the use of photography and the printed word to make visual statements in student publications. It is written for journalists who are writers and editors as well as for photojournalists and for student journalists interested in increasing the quality of the school newspaper, magazine, or yearbook. The role of the photographer…

  7. Level statistics of words: Finding keywords in literary texts and symbolic sequences

    NASA Astrophysics Data System (ADS)

    Carpena, P.; Bernaola-Galván, P.; Hackenberg, M.; Coronado, A. V.; Oliver, J. L.

    2009-03-01

    Using a generalization of the level statistics analysis of quantum disordered systems, we present an approach able to extract automatically keywords in literary texts. Our approach takes into account not only the frequencies of the words present in the text but also their spatial distribution along the text, and is based on the fact that relevant words are significantly clustered (i.e., they self-attract each other), while irrelevant words are distributed randomly in the text. Since a reference corpus is not needed, our approach is especially suitable for single documents for which no a priori information is available. In addition, we show that our method works also in generic symbolic sequences (continuous texts without spaces), thus suggesting its general applicability.

  8. Meta-analyses and Forest plots using a microsoft excel spreadsheet: step-by-step guide focusing on descriptive data analysis.

    PubMed

    Neyeloff, Jeruza L; Fuchs, Sandra C; Moreira, Leila B

    2012-01-20

    Meta-analyses are necessary to synthesize data obtained from primary research, and in many situations reviews of observational studies are the only available alternative. General purpose statistical packages can meta-analyze data, but usually require external macros or coding. Commercial specialist software is available, but may be expensive and focused in a particular type of primary data. Most available softwares have limitations in dealing with descriptive data, and the graphical display of summary statistics such as incidence and prevalence is unsatisfactory. Analyses can be conducted using Microsoft Excel, but there was no previous guide available. We constructed a step-by-step guide to perform a meta-analysis in a Microsoft Excel spreadsheet, using either fixed-effect or random-effects models. We have also developed a second spreadsheet capable of producing customized forest plots. It is possible to conduct a meta-analysis using only Microsoft Excel. More important, to our knowledge this is the first description of a method for producing a statistically adequate but graphically appealing forest plot summarizing descriptive data, using widely available software.

  9. Meta-analyses and Forest plots using a microsoft excel spreadsheet: step-by-step guide focusing on descriptive data analysis

    PubMed Central

    2012-01-01

    Background Meta-analyses are necessary to synthesize data obtained from primary research, and in many situations reviews of observational studies are the only available alternative. General purpose statistical packages can meta-analyze data, but usually require external macros or coding. Commercial specialist software is available, but may be expensive and focused in a particular type of primary data. Most available softwares have limitations in dealing with descriptive data, and the graphical display of summary statistics such as incidence and prevalence is unsatisfactory. Analyses can be conducted using Microsoft Excel, but there was no previous guide available. Findings We constructed a step-by-step guide to perform a meta-analysis in a Microsoft Excel spreadsheet, using either fixed-effect or random-effects models. We have also developed a second spreadsheet capable of producing customized forest plots. Conclusions It is possible to conduct a meta-analysis using only Microsoft Excel. More important, to our knowledge this is the first description of a method for producing a statistically adequate but graphically appealing forest plot summarizing descriptive data, using widely available software. PMID:22264277

  10. Effects of Word and Morpheme Familiarity on Reading of Derived Words

    ERIC Educational Resources Information Center

    Carlisle, Joanne F.; Katz, Lauren A.

    2006-01-01

    The purpose of this study is to examine factors that influence students' reading of derived words. Recent research suggests that the lexical quality of a derived word depends on the familiarity of the word, its morphemic constituents (i.e., base word and affixes), and the frequency with which the base word appears in other words (i.e., members of…

  11. Word skipping: effects of word length, predictability, spelling and reading skill.

    PubMed

    Slattery, Timothy J; Yates, Mark

    2017-08-31

    Readers eyes often skip over words as they read. Skipping rates are largely determined by word length; short words are skipped more than long words. However, the predictability of a word in context also impacts skipping rates. Rayner, Slattery, Drieghe and Liversedge (2011) reported an effect of predictability on word skipping for even long words (10-13 characters) that extend beyond the word identification span. Recent research suggests that better readers and spellers have an enhanced perceptual span (Veldre & Andrews, 2014). We explored whether reading and spelling skill interact with word length and predictability to impact word skipping rates in a large sample (N=92) of average and poor adult readers. Participants read the items from Rayner et al. (2011) while their eye movements were recorded. Spelling skill (zSpell) was assessed using the dictation and recognition tasks developed by Sally Andrews and colleagues. Reading skill (zRead) was assessed from reading speed (words per minute) and accuracy of three 120 word passages each with 10 comprehension questions. We fit linear mixed models to the target gaze duration data and generalized linear mixed models to the target word skipping data. Target word gaze durations were significantly predicted by zRead while, the skipping likelihoods were significantly predicted by zSpell. Additionally, for gaze durations, zRead significantly interacted with word predictability as better readers relied less on context to support word processing. These effects are discussed in relation to the lexical quality hypothesis and eye movement models of reading.

  12. Measuring the Negative Impact of Long Sitting Hours at High School Students Using the Microsoft Kinect.

    PubMed

    Gal-Nadasan, Norbert; Gal-Nadasan, Emanuela Georgiana; Stoicu-Tivadar, Vasile; Poenaru, Dan V; Popa-Andrei, Diana

    2017-01-01

    This paper suggests the usage of the Microsoft Kinect to detect the onset of the scoliosis at high school students due to incorrect sitting positions. The measurement is done by measuring the overall posture in orthostatic position using the Microsoft Kinect. During the measuring process several key points of the human body are tracked like the hips and shoulders to form the postural data. The test was done on 30 high school students who spend 6 to 7 hours per day in the school benches. The postural data is statistically processed by IBM Watson's Analytics. From the statistical analysis we have obtained that a prolonged sitting position at such young ages affects in a negative way the spinal cord and facilitates the appearance of malicious postures like scoliosis and lordosis.

  13. Comparing different kinds of words and word-word relations to test an habituation model of priming.

    PubMed

    Rieth, Cory A; Huber, David E

    2017-06-01

    Huber and O'Reilly (2003) proposed that neural habituation exists to solve a temporal parsing problem, minimizing blending between one word and the next when words are visually presented in rapid succession. They developed a neural dynamics habituation model, explaining the finding that short duration primes produce positive priming whereas long duration primes produce negative repetition priming. The model contains three layers of processing, including a visual input layer, an orthographic layer, and a lexical-semantic layer. The predicted effect of prime duration depends both on this assumed representational hierarchy and the assumption that synaptic depression underlies habituation. The current study tested these assumptions by comparing different kinds of words (e.g., words versus non-words) and different kinds of word-word relations (e.g., associative versus repetition). For each experiment, the predictions of the original model were compared to an alternative model with different representational assumptions. Experiment 1 confirmed the prediction that non-words and inverted words require longer prime durations to eliminate positive repetition priming (i.e., a slower transition from positive to negative priming). Experiment 2 confirmed the prediction that associative priming increases and then decreases with increasing prime duration, but remains positive even with long duration primes. Experiment 3 replicated the effects of repetition and associative priming using a within-subjects design and combined these effects by examining target words that were expected to repeat (e.g., viewing the target word 'BACK' after the prime phrase 'back to'). These results support the originally assumed representational hierarchy and more generally the role of habituation in temporal parsing and priming. Copyright © 2017 Elsevier Inc. All rights reserved.

  14. Semantic Document Model to Enhance Data and Knowledge Interoperability

    NASA Astrophysics Data System (ADS)

    Nešić, Saša

    To enable document data and knowledge to be efficiently shared and reused across application, enterprise, and community boundaries, desktop documents should be completely open and queryable resources, whose data and knowledge are represented in a form understandable to both humans and machines. At the same time, these are the requirements that desktop documents need to satisfy in order to contribute to the visions of the Semantic Web. With the aim of achieving this goal, we have developed the Semantic Document Model (SDM), which turns desktop documents into Semantic Documents as uniquely identified and semantically annotated composite resources, that can be instantiated into human-readable (HR) and machine-processable (MP) forms. In this paper, we present the SDM along with an RDF and ontology-based solution for the MP document instance. Moreover, on top of the proposed model, we have built the Semantic Document Management System (SDMS), which provides a set of services that exploit the model. As an application example that takes advantage of SDMS services, we have extended MS Office with a set of tools that enables users to transform MS Office documents (e.g., MS Word and MS PowerPoint) into Semantic Documents, and to search local and distant semantic document repositories for document content units (CUs) over Semantic Web protocols.

  15. Mark My Words: Tone of Voice Changes Affective Word Representations in Memory

    PubMed Central

    Schirmer, Annett

    2010-01-01

    The present study explored the effect of speaker prosody on the representation of words in memory. To this end, participants were presented with a series of words and asked to remember the words for a subsequent recognition test. During study, words were presented auditorily with an emotional or neutral prosody, whereas during test, words were presented visually. Recognition performance was comparable for words studied with emotional and neutral prosody. However, subsequent valence ratings indicated that study prosody changed the affective representation of words in memory. Compared to words with neutral prosody, words with sad prosody were later rated as more negative and words with happy prosody were later rated as more positive. Interestingly, the participants' ability to remember study prosody failed to predict this effect, suggesting that changes in word valence were implicit and associated with initial word processing rather than word retrieval. Taken together these results identify a mechanism by which speakers can have sustained effects on listener attitudes towards word referents. PMID:20169154

  16. Improving Graduate Students' Graphing Skills of Multiple Baseline Designs with Microsoft[R] Excel 2007

    ERIC Educational Resources Information Center

    Lo, Ya-yu; Starling, A. Leyf Peirce

    2009-01-01

    This study examined the effects of a graphing task analysis using the Microsoft[R] Office Excel 2007 program on the single-subject multiple baseline graphing skills of three university graduate students. Using a multiple probe across participants design, the study demonstrated a functional relationship between the number of correct graphing…

  17. Investigating the Feasibility of Conducting Human Tracking and Following in an Indoor Environment Using a Microsoft Kinect and the Robot Operating System

    DTIC Science & Technology

    2017-06-01

    implement human following on a mobile robot in an indoor environment . B. FUTURE WORK Future work that could be conducted in the realm of this thesis...FEASIBILITY OF CONDUCTING HUMAN TRACKING AND FOLLOWING IN AN INDOOR ENVIRONMENT USING A MICROSOFT KINECT AND THE ROBOT OPERATING SYSTEM by...FEASIBILITY OF CONDUCTING HUMAN TRACKING AND FOLLOWING IN AN INDOOR ENVIRONMENT USING A MICROSOFT KINECT AND THE ROBOT OPERATING SYSTEM 5. FUNDING NUMBERS

  18. Word Savvy: Integrating Vocabulary, Spelling, and Word Study

    ERIC Educational Resources Information Center

    Brand, Max

    2004-01-01

    Tired of assigning weekly spelling lists that students memorize for the test only to have them misspell the words in their daily writing? Then join Max Brand in his fifth-grade classroom where word learning is integrated fully into literacy workshops. Using spelling investigations, word study notebooks, reading logs, and writers' notebooks,…

  19. Processing negative valence of word pairs that include a positive word.

    PubMed

    Itkes, Oksana; Mashal, Nira

    2016-09-01

    Previous research has suggested that cognitive performance is interrupted by negative relative to neutral or positive stimuli. We examined whether negative valence affects performance at the word or phrase level. Participants performed a semantic decision task on word pairs that included either a negative or a positive target word. In Experiment 1, the valence of the target word was congruent with the overall valence conveyed by the word pair (e.g., fat kid). As expected, response times were slower in the negative condition relative to the positive condition. Experiment 2 included target words that were incongruent with the overall valence of the word pair (e.g., fat salary). Response times were longer for word pairs whose overall valence was negative relative to positive, even though these word pairs included a positive word. Our findings support the Cognitive Primacy Hypothesis, according to which emotional valence is extracted after conceptual processing is complete.

  20. Augmented Reality Technology Using Microsoft HoloLens in Anatomic Pathology.

    PubMed

    Hanna, Matthew G; Ahmed, Ishtiaque; Nine, Jeffrey; Prajapati, Shyam; Pantanowitz, Liron

    2018-05-01

    Context Augmented reality (AR) devices such as the Microsoft HoloLens have not been well used in the medical field. Objective To test the HoloLens for clinical and nonclinical applications in pathology. Design A Microsoft HoloLens was tested for virtual annotation during autopsy, viewing 3D gross and microscopic pathology specimens, navigating whole slide images, telepathology, as well as real-time pathology-radiology correlation. Results Pathology residents performing an autopsy wearing the HoloLens were remotely instructed with real-time diagrams, annotations, and voice instruction. 3D-scanned gross pathology specimens could be viewed as holograms and easily manipulated. Telepathology was supported during gross examination and at the time of intraoperative consultation, allowing users to remotely access a pathologist for guidance and to virtually annotate areas of interest on specimens in real-time. The HoloLens permitted radiographs to be coregistered on gross specimens and thereby enhanced locating important pathologic findings. The HoloLens also allowed easy viewing and navigation of whole slide images, using an AR workstation, including multiple coregistered tissue sections facilitating volumetric pathology evaluation. Conclusions The HoloLens is a novel AR tool with multiple clinical and nonclinical applications in pathology. The device was comfortable to wear, easy to use, provided sufficient computing power, and supported high-resolution imaging. It was useful for autopsy, gross and microscopic examination, and ideally suited for digital pathology. Unique applications include remote supervision and annotation, 3D image viewing and manipulation, telepathology in a mixed-reality environment, and real-time pathology-radiology correlation.

  1. The Role of the Phonological Loop in English Word Learning: A Comparison of Chinese ESL Learners and Native Speakers

    ERIC Educational Resources Information Center

    Hamada, Megumi; Koda, Keiko

    2011-01-01

    Although the role of the phonological loop in word-retention is well documented, research in Chinese character retention suggests the involvement of non-phonological encoding. This study investigated whether the extent to which the phonological loop contributes to learning and remembering visually introduced words varies between college-level…

  2. Intelligent Document Gateway: A Service System Case Study and Analysis

    NASA Astrophysics Data System (ADS)

    Krishna, Vikas; Lelescu, Ana

    In today's fast paced world, it is necessary to process business ­documents expediently, accurately, and diligently. In other words, processing has to be fast, errors must be prevented (or caught and corrected quickly), and documents cannot be lost or misplaced. The failure to meet these criteria, depending on the type and purpose of the documents, can have serious business, legal, or safety consequences. In this paper, we evaluated a B2B order placement service system that allows clients to place orders for products and services over a network. We describe the order placement service before and after deploying the Intelligent Document Gateway (IDG), a document-centric business process automation technology from IBM Research. Using service science perspective and service systems frameworks, we provide an analysis of how IDG improved the value proposition for both the service providers and service clients.

  3. Term frequency - function of document frequency: a new term weighting scheme for enterprise information retrieval

    NASA Astrophysics Data System (ADS)

    Zhang, Hui; Wang, Deqing; Wu, Wenjun; Hu, Hongping

    2012-11-01

    In today's business environment, enterprises are increasingly under pressure to process the vast amount of data produced everyday within enterprises. One method is to focus on the business intelligence (BI) applications and increasing the commercial added-value through such business analytics activities. Term weighting scheme, which has been used to convert the documents as vectors in the term space, is a vital task in enterprise Information Retrieval (IR), text categorisation, text analytics, etc. When determining term weight in a document, the traditional TF-IDF scheme sets weight value for the term considering only its occurrence frequency within the document and in the entire set of documents, which leads to some meaningful terms that cannot get the appropriate weight. In this article, we propose a new term weighting scheme called Term Frequency - Function of Document Frequency (TF-FDF) to address this issue. Instead of using monotonically decreasing function such as Inverse Document Frequency, FDF presents a convex function that dynamically adjusts weights according to the significance of the words in a document set. This function can be manually tuned based on the distribution of the most meaningful words which semantically represent the document set. Our experiments show that the TF-FDF can achieve higher value of Normalised Discounted Cumulative Gain in IR than that of TF-IDF and its variants, and improving the accuracy of relevance ranking of the IR results.

  4. Teaching Tip: Active Learning via a Sample Database: The Case of Microsoft's Adventure Works

    ERIC Educational Resources Information Center

    Mitri, Michel

    2015-01-01

    This paper describes the use and benefits of Microsoft's Adventure Works (AW) database to teach advanced database skills in a hands-on, realistic environment. Database management and querying skills are a key element of a robust information systems curriculum, and active learning is an important way to develop these skills. To facilitate active…

  5. Word Maturity: A New Metric for Word Knowledge

    ERIC Educational Resources Information Center

    Landauer, Thomas K.; Kireyev, Kirill; Panaccione, Charles

    2011-01-01

    A new metric, Word Maturity, estimates the development by individual students of knowledge of every word in a large corpus. The metric is constructed by Latent Semantic Analysis modeling of word knowledge as a function of the reading that a simulated learner has done and is calibrated by its developing closeness in information content to that of a…

  6. Changing word usage predicts changing word durations in New Zealand English.

    PubMed

    Sóskuthy, Márton; Hay, Jennifer

    2017-09-01

    This paper investigates the emergence of lexicalized effects of word usage on word duration by looking at parallel changes in usage and duration over 130years in New Zealand English. Previous research has found that frequent words are shorter, informative words are longer, and words in utterance-final position are also longer. It has also been argued that some of these patterns are not simply online adjustments, but are incorporated into lexical representations. While these studies tend to focus on the synchronic aspects of such patterns, our corpus shows that word-usage patterns and word durations are not static over time. Many words change in duration and also change with respect to frequency, informativity and likelihood of occurring utterance-finally. Analysis of changing word durations over this time period shows substantial patterns of co-adaptation between word usage and word durations. Words that are increasing in frequency are becoming shorter. Words that are increasing/decreasing in informativity show a change in the same direction in duration (e.g. increasing informativity is associated with increasing duration). And words that are increasingly appearing utterance-finally are lengthening. These effects exist independently of the local effects of the predictors. For example, words that are increasing utterance-finally lengthen in all positions, including utterance-medially. We show that these results are compatible with a number of different views about lexical representations, but they cannot be explained without reference to a production-perception loop that allows speakers to update their representations dynamically on the basis of their experience. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

  7. Finding Words in a Language that Allows Words without Vowels

    ERIC Educational Resources Information Center

    El Aissati, Abder; McQueen, James M.; Cutler, Anne

    2012-01-01

    Across many languages from unrelated families, spoken-word recognition is subject to a constraint whereby potential word candidates must contain a vowel. This constraint minimizes competition from embedded words (e.g., in English, disfavoring "win" in "twin" because "t" cannot be a word). However, the constraint would be counter-productive in…

  8. Word acquisition, retention, and transfer: findings from contextual and isolated word training.

    PubMed

    Martin-Chang, Sandra Lyn; Levy, Betty Ann; O'Neil, Sara

    2007-01-01

    Successful reading instruction entails not only acquiring new words but also remembering them after training has finished and accessing their word-specific representations when they are encountered in new text. We report two studies demonstrating that acquisition, retention, and transfer of unfamiliar words were affected differentially by isolated word and context training. Materials were individualized to include only those words that average readers in second grade were unable to name in context. Different words were trained in each condition; context training presented words in stories, and isolated word training presented words on flashcards. Together, the studies show that context training promotes word acquisition beyond that experienced from reading words in isolation. Contrary to the prevailing opinion, memory performance for words trained in context and in isolation did not differ; children demonstrated excellent retention over an 8-day interval in both conditions. Finally, transfer was maximized when the congruency between training and testing was high. Therefore, when reading trained words in novel circumstances, the best method of training was mediated by the transfer task employed at test.

  9. Extracting Related Words from Anchor Text Clusters by Focusing on the Page Designer's Intention

    NASA Astrophysics Data System (ADS)

    Liu, Jianquan; Chen, Hanxiong; Furuse, Kazutaka; Ohbo, Nobuo

    Approaches for extracting related words (terms) by co-occurrence work poorly sometimes. Two words frequently co-occurring in the same documents are considered related. However, they may not relate at all because they would have no common meanings nor similar semantics. We address this problem by considering the page designer’s intention and propose a new model to extract related words. Our approach is based on the idea that the web page designers usually make the correlative hyperlinks appear in close zone on the browser. We developed a browser-based crawler to collect “geographically” near hyperlinks, then by clustering these hyperlinks based on their pixel coordinates, we extract related words which can well reflect the designer’s intention. Experimental results show that our method can represent the intention of the web page designer in extremely high precision. Moreover, the experiments indicate that our extracting method can obtain related words in a high average precision.

  10. Using Cascading Style Sheets to Design a Fly-Out Menu with Microsoft Visual Studio

    ERIC Educational Resources Information Center

    Liu, Chang; Downing, Charles

    2010-01-01

    The menu has become an integrated component within nearly all professionally designed websites. This teaching tip presents a no-code way to design either a vertical or a horizontal fly-out menu by using Cascading Style Sheets (CSS) within Microsoft Visual Studio 2008. The approach described in this tip helps students fully understand how to…

  11. Goal-oriented rectification of camera-based document images.

    PubMed

    Stamatopoulos, Nikolaos; Gatos, Basilis; Pratikakis, Ioannis; Perantonis, Stavros J

    2011-04-01

    Document digitization with either flatbed scanners or camera-based systems results in document images which often suffer from warping and perspective distortions that deteriorate the performance of current OCR approaches. In this paper, we present a goal-oriented rectification methodology to compensate for undesirable document image distortions aiming to improve the OCR result. Our approach relies upon a coarse-to-fine strategy. First, a coarse rectification is accomplished with the aid of a computationally low cost transformation which addresses the projection of a curved surface to a 2-D rectangular area. The projection of the curved surface on the plane is guided only by the textual content's appearance in the document image while incorporating a transformation which does not depend on specific model primitives or camera setup parameters. Second, pose normalization is applied on the word level aiming to restore all the local distortions of the document image. Experimental results on various document images with a variety of distortions demonstrate the robustness and effectiveness of the proposed rectification methodology using a consistent evaluation methodology that encounters OCR accuracy and a newly introduced measure using a semi-automatic procedure.

  12. imDEV: a graphical user interface to R multivariate analysis tools in Microsoft Excel

    PubMed Central

    Grapov, Dmitry; Newman, John W.

    2012-01-01

    Summary: Interactive modules for Data Exploration and Visualization (imDEV) is a Microsoft Excel spreadsheet embedded application providing an integrated environment for the analysis of omics data through a user-friendly interface. Individual modules enables interactive and dynamic analyses of large data by interfacing R's multivariate statistics and highly customizable visualizations with the spreadsheet environment, aiding robust inferences and generating information-rich data visualizations. This tool provides access to multiple comparisons with false discovery correction, hierarchical clustering, principal and independent component analyses, partial least squares regression and discriminant analysis, through an intuitive interface for creating high-quality two- and a three-dimensional visualizations including scatter plot matrices, distribution plots, dendrograms, heat maps, biplots, trellis biplots and correlation networks. Availability and implementation: Freely available for download at http://sourceforge.net/projects/imdev/. Implemented in R and VBA and supported by Microsoft Excel (2003, 2007 and 2010). Contact: John.Newman@ars.usda.gov Supplementary Information: Installation instructions, tutorials and users manual are available at http://sourceforge.net/projects/imdev/. PMID:22815358

  13. Task set persistence modulates word reading following resolution of picture-word interference.

    PubMed

    Masson, Michael E J; Bub, Daniel N; Ishigami, Yoko

    2007-12-01

    We extend the finding that word reading slows following successful responses to a color-word Stroop interference task (Masson, Bub, Woodward, & Chan, 2003). Word reading was assessed in a picture-word interference task in which subjects alternated between naming a picture (with either a word or a row of Xs superimposed on it) and reading a word. For the word-reading task, words were presented either in isolation or superimposed on a picture. Word reading was slower after subjects responded to a bivalent stimulus that required resolution of conflict (naming a picture with a word superimposed on it) than after they responded to a stimulus that involved no conflict (naming a picture with Xs superimposed on it), indicating modulation of dominant task performance. This effect was found when word-reading targets were superimposed on pictures but not when those targets were presented in isolation. Modulation of word reading, therefore, appears to be the result of interference from a persistent picture-naming task set, cued by a stimulus configuration that invites execution of both competing tasks.

  14. Implementation of facial recognition with Microsoft Kinect v2 sensor for patient verification.

    PubMed

    Silverstein, Evan; Snyder, Michael

    2017-06-01

    The aim of this study was to present a straightforward implementation of facial recognition using the Microsoft Kinect v2 sensor for patient identification in a radiotherapy setting. A facial recognition system was created with the Microsoft Kinect v2 using a facial mapping library distributed with the Kinect v2 SDK as a basis for the algorithm. The system extracts 31 fiducial points representing various facial landmarks which are used in both the creation of a reference data set and subsequent evaluations of real-time sensor data in the matching algorithm. To test the algorithm, a database of 39 faces was created, each with 465 vectors derived from the fiducial points, and a one-to-one matching procedure was performed to obtain sensitivity and specificity data of the facial identification system. ROC curves were plotted to display system performance and identify thresholds for match determination. In addition, system performance as a function of ambient light intensity was tested. Using optimized parameters in the matching algorithm, the sensitivity of the system for 5299 trials was 96.5% and the specificity was 96.7%. The results indicate a fairly robust methodology for verifying, in real-time, a specific face through comparison from a precollected reference data set. In its current implementation, the process of data collection for each face and subsequent matching session averaged approximately 30 s, which may be too onerous to provide a realistic supplement to patient identification in a clinical setting. Despite the time commitment, the data collection process was well tolerated by all participants and most robust when consistent ambient light conditions were maintained across both the reference recording session and subsequent real-time identification sessions. A facial recognition system can be implemented for patient identification using the Microsoft Kinect v2 sensor and the distributed SDK. In its present form, the system is accurate-if time consuming

  15. Word Learning and Individual Differences in Word Learning Reflected in Event-Related Potentials

    ERIC Educational Resources Information Center

    Perfetti, Charles A.; Wlotko, Edward W.; Hart, Lesley A.

    2005-01-01

    Adults learned the meanings of rare words (e.g., gloaming) and then made meaning judgments on pairs of words. The 1st word was a trained rare word, an untrained rare word, or an untrained familiar word. Event-related potentials distinguished trained rare words from both untrained rare and familiar words, first at 140 ms and again at 400-600 ms…

  16. Back to the Future: The Practicality of Using Microsoft NetMeeting for Effective Distance Tutoring

    ERIC Educational Resources Information Center

    Legutko, Robert S.

    2007-01-01

    Background: The idea for attempting a distance tutoring project between university tutors and elementary school students using Microsoft NetMeeting was conceived: (a) to provide a new experience mentoring children for university students pursuing a teaching certificate, (b) for university students to utilize technology in pedagogy, (c) as an…

  17. Generating Variable and Random Schedules of Reinforcement Using Microsoft Excel Macros

    PubMed Central

    Bancroft, Stacie L; Bourret, Jason C

    2008-01-01

    Variable reinforcement schedules are used to arrange the availability of reinforcement following varying response ratios or intervals of time. Random reinforcement schedules are subtypes of variable reinforcement schedules that can be used to arrange the availability of reinforcement at a constant probability across number of responses or time. Generating schedule values for variable and random reinforcement schedules can be difficult. The present article describes the steps necessary to write macros in Microsoft Excel that will generate variable-ratio, variable-interval, variable-time, random-ratio, random-interval, and random-time reinforcement schedule values. PMID:18595286

  18. A microsoft excel(®) 2010 based tool for calculating interobserver agreement.

    PubMed

    Reed, Derek D; Azulay, Richard L

    2011-01-01

    This technical report provides detailed information on the rationale for using a common computer spreadsheet program (Microsoft Excel(®)) to calculate various forms of interobserver agreement for both continuous and discontinuous data sets. In addition, we provide a brief tutorial on how to use an Excel spreadsheet to automatically compute traditional total count, partial agreement-within-intervals, exact agreement, trial-by-trial, interval-by-interval, scored-interval, unscored-interval, total duration, and mean duration-per-interval interobserver agreement algorithms. We conclude with a discussion of how practitioners may integrate this tool into their clinical work.

  19. Generating variable and random schedules of reinforcement using Microsoft Excel macros.

    PubMed

    Bancroft, Stacie L; Bourret, Jason C

    2008-01-01

    Variable reinforcement schedules are used to arrange the availability of reinforcement following varying response ratios or intervals of time. Random reinforcement schedules are subtypes of variable reinforcement schedules that can be used to arrange the availability of reinforcement at a constant probability across number of responses or time. Generating schedule values for variable and random reinforcement schedules can be difficult. The present article describes the steps necessary to write macros in Microsoft Excel that will generate variable-ratio, variable-interval, variable-time, random-ratio, random-interval, and random-time reinforcement schedule values.

  20. An overview of selected information storage and retrieval issues in computerized document processing

    NASA Technical Reports Server (NTRS)

    Dominick, Wayne D. (Editor); Ihebuzor, Valentine U.

    1984-01-01

    The rapid development of computerized information storage and retrieval techniques has introduced the possibility of extending the word processing concept to document processing. A major advantage of computerized document processing is the relief of the tedious task of manual editing and composition usually encountered by traditional publishers through the immense speed and storage capacity of computers. Furthermore, computerized document processing provides an author with centralized control, the lack of which is a handicap of the traditional publishing operation. A survey of some computerized document processing techniques is presented with emphasis on related information storage and retrieval issues. String matching algorithms are considered central to document information storage and retrieval and are also discussed.

  1. Typograph: Multiscale Spatial Exploration of Text Documents

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Endert, Alexander; Burtner, Edwin R.; Cramer, Nicholas O.

    2013-10-06

    Visualizing large document collections using a spatial layout of terms can enable quick overviews of information. These visual metaphors (e.g., word clouds, tag clouds, etc.) traditionally show a series of terms organized by space-filling algorithms. However, often lacking in these views is the ability to interactively explore the information to gain more detail, and the location and rendering of the terms are often not based on mathematical models that maintain relative distances from other information based on similarity metrics. In this paper, we present Typograph, a multi-scale spatial exploration visualization for large document collections. Based on the term-based visualization methods,more » Typograh enables multiple levels of detail (terms, phrases, snippets, and full documents) within the single spatialization. Further, the information is placed based on their relative similarity to other information to create the “near = similar” geographic metaphor. This paper discusses the design principles and functionality of Typograph and presents a use case analyzing Wikipedia to demonstrate usage.« less

  2. Infants Track Word Forms in Early Word-Object Associations

    ERIC Educational Resources Information Center

    Zamuner, Tania S.; Fais, Laurel; Werker, Janet F.

    2014-01-01

    A central component of language development is word learning. One characterization of this process is that language learners discover objects and then look for word forms to associate with these objects (Mcnamara, 1984; Smith, 2000). Another possibility is that word forms themselves are also important, such that once learned, hearing a familiar…

  3. Experiments in automatic word class and word sense identification for information retrieval

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Gauch, S.; Futrelle, R.P.

    Automatic identification of related words and automatic detection of word senses are two long-standing goals of researchers in natural language processing. Word class information and word sense identification may enhance the performance of information retrieval system4ms. Large online corpora and increased computational capabilities make new techniques based on corpus linguisitics feasible. Corpus-based analysis is especially needed for corpora from specialized fields for which no electronic dictionaries or thesauri exist. The methods described here use a combination of mutual information and word context to establish word similarities. Then, unsupervised classification is done using clustering in the word space, identifying word classesmore » without pretagging. We also describe an extension of the method to handle the difficult problems of disambiguation and of determining part-of-speech and semantic information for low-frequency words. The method is powerful enough to produce high-quality results on a small corpus of 200,000 words from abstracts in a field of molecular biology.« less

  4. USING MICROSOFT OFFICE EXCEL® 2007 TO CONDUCT GENERALIZED MATCHING ANALYSES

    PubMed Central

    Reed, Derek D

    2009-01-01

    The generalized matching equation is a robust and empirically supported means of analyzing relations between reinforcement and behavior. Unfortunately, no simple task analysis is available to behavior analysts interested in using the matching equation to evaluate data in clinical or applied settings. This technical article presents a task analysis for the use of Microsoft Excel to analyze and plot the generalized matching equation. Using a data-based case example and a step-by-step guide for completing the analysis, these instructions are intended to promote the use of quantitative analyses by researchers with little to no experience in quantitative analyses or the matching law. PMID:20514196

  5. Using Microsoft Office Excel 2007 to conduct generalized matching analyses.

    PubMed

    Reed, Derek D

    2009-01-01

    The generalized matching equation is a robust and empirically supported means of analyzing relations between reinforcement and behavior. Unfortunately, no simple task analysis is available to behavior analysts interested in using the matching equation to evaluate data in clinical or applied settings. This technical article presents a task analysis for the use of Microsoft Excel to analyze and plot the generalized matching equation. Using a data-based case example and a step-by-step guide for completing the analysis, these instructions are intended to promote the use of quantitative analyses by researchers with little to no experience in quantitative analyses or the matching law.

  6. Classification of galaxy type from images using Microsoft R Server

    NASA Astrophysics Data System (ADS)

    de Vries, Andrie

    2017-06-01

    Many astronomers working in the field of AstroInformatics write code as part of their work. Although the programming language of choice is Python, a small number (8%) use R. R has its specific strengths in the domain of statistics, and is often viewed as limited in the size of data it can handle. However, Microsoft R Server is a product that removes these limitations by being able to process much larger amounts of data. I present some highlights of R Server, by illustrating how to fit a convolutional neural network using R. The specific task is to classify galaxies, using only images extracted from the Sloan Digital Skyserver.

  7. Vocabulary knowledge mediates the link between socioeconomic status and word learning in grade school.

    PubMed

    Maguire, Mandy J; Schneider, Julie M; Middleton, Anna E; Ralph, Yvonne; Lopez, Michael; Ackerman, Robert A; Abel, Alyson D

    2018-02-01

    The relationship between children's slow vocabulary growth and the family's low socioeconomic status (SES) has been well documented. However, previous studies have often focused on infants or preschoolers and primarily used static measures of vocabulary at multiple time points. To date, there is no research investigating whether SES predicts a child's word learning abilities in grade school and, if so, what mediates this relationship. In this study, 68 children aged 8-15 years performed a written word learning from context task that required using the surrounding text to identify the meaning of an unknown word. Results revealed that vocabulary knowledge significantly mediated the relationship between SES (as measured by maternal education) and word learning. This was true despite the fact that the words in the linguistic context surrounding the target word are typically acquired well before 8 years of age. When controlling for vocabulary, word learning from written context was not predicted by differences in reading comprehension, decoding, or working memory. These findings reveal that differences in vocabulary growth between grade school children from low and higher SES homes are likely related to differences in the process of word learning more than knowledge of surrounding words or reading skills. Specifically, children from lower SES homes are not as effective at using known vocabulary to build a robust semantic representation of incoming text to identify the meaning of an unknown word. Copyright © 2017 Elsevier Inc. All rights reserved.

  8. Evaluation of the Microsoft Kinect for screening ACL injury.

    PubMed

    Stone, Erik E; Butler, Michael; McRuer, Aaron; Gray, Aaron; Marks, Jeffrey; Skubic, Marjorie

    2013-01-01

    A study was conducted to evaluate the use of the skeletal model generated by the Microsoft Kinect SDK in capturing four biomechanical measures during the Drop Vertical Jump test. These measures, which include: knee valgus motion from initial contact to peak flexion, frontal plane knee angle at initial contact, frontal plane knee angle at peak flexion, and knee-to-ankle separation ratio at peak flexion, have proven to be useful in screening for future knee anterior cruciate ligament (ACL) injuries among female athletes. A marker-based Vicon motion capture system was used for ground truth. Results indicate that the Kinect skeletal model likely has acceptable accuracy for use as part of a screening tool to identify elevated risk for ACL injury.

  9. The Magic of Words: Teaching Vocabulary in the Early Childhood Classroom

    ERIC Educational Resources Information Center

    Neuman, Susan B.; Wright, Tanya S.

    2014-01-01

    Developing a large and rich vocabulary is central to learning to read. Children must know the words that make up written texts in order to understand them, especially as the vocabulary demands of content-related materials increase in the upper grades. Studies have documented that the size of a person's vocabulary is strongly related to how…

  10. JPKWIC - General key word in context and subject index report generator

    NASA Technical Reports Server (NTRS)

    Jirka, R.; Kabashima, N.; Kelly, D.; Plesset, M.

    1968-01-01

    JPKWIC computer program is a general key word in context and subject index report generator specifically developed to help nonprogrammers and nontechnical personnel to use the computer to access files, libraries and mass documentation. This program is designed to produce a KWIC index, a subject index, an edit report, a summary report, and an exclusion list.

  11. The efficacy of the Microsoft KinectTM to assess human bimanual coordination.

    PubMed

    Liddy, Joshua J; Zelaznik, Howard N; Huber, Jessica E; Rietdyk, Shirley; Claxton, Laura J; Samuel, Arjmand; Haddad, Jeffrey M

    2017-06-01

    The Microsoft Kinect has been used in studies examining posture and gait. Despite the advantages of portability and low cost, this device has not been used to assess interlimb coordination. Fundamental insights into movement control, variability, health, and functional status can be gained by examining coordination patterns. In this study, we investigated the efficacy of the Microsoft Kinect to capture bimanual coordination relative to a research-grade motion capture system. Twenty-four healthy adults performed coordinated hand movements in two patterns (in-phase and antiphase) at eight movement frequencies (1.00-3.33 Hz). Continuous relative phase (CRP) and discrete relative phase (DRP) were used to quantify the means (mCRP and mDRP) and variability (sdCRP and sdDRP) of coordination patterns. Between-device agreement was assessed using Bland-Altman bias with 95 % limits of agreement, concordance correlation coefficients (absolute agreement), and Pearson correlation coefficients (relative agreement). Modest-to-excellent relative and absolute agreements were found for mCRP in all conditions. However, mDRP showed poor agreement for the in-phase pattern at low frequencies, due to large between-device differences in a subset of participants. By contrast, poor absolute agreement was observed for both sdCRP and sdDRP, while relative agreement ranged from poor to excellent. Overall, the Kinect captures the macroscopic patterns of bimanual coordination better than coordination variability.

  12. New Tools to Convert PDF Math Contents into Accessible e-Books Efficiently.

    PubMed

    Suzuki, Masakazu; Terada, Yugo; Kanahori, Toshihiro; Yamaguchi, Katsuhito

    2015-01-01

    New features in our math-OCR software to convert PDF math contents into accessible e-books are shown. A method for recognizing PDF is thoroughly improved. In addition, contents in any selected area including math formulas in a PDF file can be cut and pasted into a document in various accessible formats, which is automatically recognized and converted into texts and accessible math formulas through this process. Combining it with our authoring tool for a technical document, one can easily produce accessible e-books in various formats such as DAISY, accessible EPUB3, DAISY-like HTML5, Microsoft Word with math objects and so on. Those contents are useful for various print-disabled students ranging from the blind to the dyslexic.

  13. Don't words come easy? A psychophysical exploration of word superiority

    PubMed Central

    Starrfelt, Randi; Petersen, Anders; Vangkilde, Signe

    2013-01-01

    Words are made of letters, and yet sometimes it is easier to identify a word than a single letter. This word superiority effect (WSE) has been observed when written stimuli are presented very briefly or degraded by visual noise. We compare performance with letters and words in three experiments, to explore the extents and limits of the WSE. Using a carefully controlled list of three letter words, we show that a WSE can be revealed in vocal reaction times even to undegraded stimuli. With a novel combination of psychophysics and mathematical modeling, we further show that the typical WSE is specifically reflected in perceptual processing speed: single words are simply processed faster than single letters. Intriguingly, when multiple stimuli are presented simultaneously, letters are perceived more easily than words, and this is reflected both in perceptual processing speed and visual short term memory (VSTM) capacity. So, even if single words come easy, there is a limit to the WSE. PMID:24027510

  14. Imaged Document Optical Correlation and Conversion System (IDOCCS)

    NASA Astrophysics Data System (ADS)

    Stalcup, Bruce W.; Dennis, Phillip W.; Dydyk, Robert B.

    1999-03-01

    Today, the paper document is fast becoming a thing of the past. With the rapid development of fast, inexpensive computing and storage devices, many government and private organizations are archiving their documents in electronic form (e.g., personnel records, medical records, patents, etc.). In addition, many organizations are converting their paper archives to electronic images, which are stored in a computer database. Because of this, there is a need to efficiently organize this data into comprehensive and accessible information resources. The Imaged Document Optical Correlation and Conversion System (IDOCCS) provides a total solution to the problem of managing and retrieving textual and graphic information from imaged document archives. At the heart of IDOCCS, optical correlation technology provides the search and retrieval capability of document images. The IDOCCS can be used to rapidly search for key words or phrases within the imaged document archives and can even determine the types of languages contained within a document. In addition, IDOCCS can automatically compare an input document with the archived database to determine if it is a duplicate, thereby reducing the overall resources required to maintain and access the document database. Embedded graphics on imaged pages can also be exploited, e.g., imaged documents containing an agency's seal or logo, or documents with a particular individual's signature block, can be singled out. With this dual capability, IDOCCS outperforms systems that rely on optical character recognition as a basis for indexing and storing only the textual content of documents for later retrieval.

  15. Competition between multiple words for a referent in cross-situational word learning

    PubMed Central

    Benitez, Viridiana L.; Yurovsky, Daniel; Smith, Linda B.

    2016-01-01

    Three experiments investigated competition between word-object pairings in a cross-situational word-learning paradigm. Adults were presented with One-Word pairings, where a single word labeled a single object, and Two-Word pairings, where two words labeled a single object. In addition to measuring learning of these two pairing types, we measured competition between words that refer to the same object. When the word-object co-occurrences were presented intermixed in training (Experiment 1), we found evidence for direct competition between words that label the same referent. Separating the two words for an object in time eliminated any evidence for this competition (Experiment 2). Experiment 3 demonstrated that adding a linguistic cue to the second label for a referent led to different competition effects between adults who self-reported different language learning histories, suggesting both distinctiveness and language learning history affect competition. Finally, in all experiments, competition effects were unrelated to participants’ explicit judgments of learning, suggesting that competition reflects the operating characteristics of implicit learning processes. Together, these results demonstrate that the role of competition between overlapping associations in statistical word-referent learning depends on time, the distinctiveness of word-object pairings, and language learning history. PMID:27087742

  16. Performance comparison of leading image codecs: H.264/AVC Intra, JPEG2000, and Microsoft HD Photo

    NASA Astrophysics Data System (ADS)

    Tran, Trac D.; Liu, Lijie; Topiwala, Pankaj

    2007-09-01

    This paper provides a detailed rate-distortion performance comparison between JPEG2000, Microsoft HD Photo, and H.264/AVC High Profile 4:4:4 I-frame coding for high-resolution still images and high-definition (HD) 1080p video sequences. This work is an extension to our previous comparative study published in previous SPIE conferences [1, 2]. Here we further optimize all three codecs for compression performance. Coding simulations are performed on a set of large-format color images captured from mainstream digital cameras and 1080p HD video sequences commonly used for H.264/AVC standardization work. Overall, our experimental results show that all three codecs offer very similar coding performances at the high-quality, high-resolution setting. Differences tend to be data-dependent: JPEG2000 with the wavelet technology tends to be the best performer with smooth spatial data; H.264/AVC High-Profile with advanced spatial prediction modes tends to cope best with more complex visual content; Microsoft HD Photo tends to be the most consistent across the board. For the still-image data sets, JPEG2000 offers the best R-D performance gains (around 0.2 to 1 dB in peak signal-to-noise ratio) over H.264/AVC High-Profile intra coding and Microsoft HD Photo. For the 1080p video data set, all three codecs offer very similar coding performance. As in [1, 2], neither do we consider scalability nor complexity in this study (JPEG2000 is operating in non-scalable, but optimal performance mode).

  17. 77 FR 73969 - International Fisheries; Pacific Tuna Fisheries; Fishing Restrictions in the Eastern Pacific Ocean

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-12-12

    ... comments will only be accepted in Microsoft Word or Excel, WordPerfect, or Adobe PDF file formats. Written... membership includes: Belize, Canada, China, Chinese Taipei (Taiwan), Colombia, Costa Rica, Ecuador, El...

  18. Eye movements and word skipping during reading: Effects of word length and predictability

    PubMed Central

    Rayner, Keith; Slattery, Timothy J.; Drieghe, Denis; Liversedge, Simon P.

    2012-01-01

    The extent to which target words were predictable from prior context was varied: half of the target words were predictable and the other half were unpredictable. In addition, the length of the target word varied: the target words were short (4–6 letters), medium (7–9 letters), or long (10–12 letters). Length and predictability both yielded strong effects on the probability of skipping the target words and on the amount of time readers fixated the target words (when they were not skipped). However, there was no interaction in any of the measures examined for either skipping or fixation time. The results demonstrate that word predictability (due to contextual constraint) and word length have strong and independent influences on word skipping and fixation durations. Furthermore, since the long words extended beyond the word identification span, the data indicate that skipping can occur on the basis of partial information in relation to word identity. PMID:21463086

  19. Does "a picture is worth 1000 words" apply to iconic Chinese words? Relationship of Chinese words and pictures.

    PubMed

    Lo, Shih-Yu; Yeh, Su-Ling

    2018-05-29

    The meaning of a picture can be extracted rapidly, but the form-to-meaning relationship is less obvious for printed words. In contrast to English words that follow grapheme-to-phoneme correspondence rule, the iconic nature of Chinese words might predispose them to activate their semantic representations more directly from their orthographies. By using the paradigm of repetition blindness (RB) that taps into the early level of word processing, we examined whether Chinese words activate their semantic representations as directly as pictures do. RB refers to the failure to detect the second occurrence of an item when it is presented twice in temporal proximity. Previous studies showed RB for semantically related pictures, suggesting that pictures activate their semantic representations directly from their shapes and thus two semantically related pictures are represented as repeated. However, this does not apply to English words since no RB was found for English synonyms. In this study, we replicated the semantic RB effect for pictures, and further showed the absence of semantic RB for Chinese synonyms. Based on our findings, it is suggested that Chinese words are processed like English words, which do not activate their semantic representations as directly as pictures do.

  20. Visual Cortical Representation of Whole Words and Hemifield-split Word Parts.

    PubMed

    Strother, Lars; Coros, Alexandra M; Vilis, Tutis

    2016-02-01

    Reading requires the neural integration of visual word form information that is split between our retinal hemifields. We examined multiple visual cortical areas involved in this process by measuring fMRI responses while observers viewed words that changed or repeated in one or both hemifields. We were specifically interested in identifying brain areas that exhibit decreased fMRI responses as a result of repeated versus changing visual word form information in each visual hemifield. Our method yielded highly significant effects of word repetition in a previously reported visual word form area (VWFA) in occipitotemporal cortex, which represents hemifield-split words as whole units. We also identified a more posterior occipital word form area (OWFA), which represents word form information in the right and left hemifields independently and is thus both functionally and anatomically distinct from the VWFA. Both the VWFA and the OWFA were left-lateralized in our study and strikingly symmetric in anatomical location relative to known face-selective visual cortical areas in the right hemisphere. Our findings are consistent with the observation that category-selective visual areas come in pairs and support the view that neural mechanisms in left visual cortex--especially those that evolved to support the visual processing of faces--are developmentally malleable and become incorporated into a left-lateralized visual word form network that supports rapid word recognition and reading.

  1. Generating descriptive visual words and visual phrases for large-scale image applications.

    PubMed

    Zhang, Shiliang; Tian, Qi; Hua, Gang; Huang, Qingming; Gao, Wen

    2011-09-01

    Bag-of-visual Words (BoWs) representation has been applied for various problems in the fields of multimedia and computer vision. The basic idea is to represent images as visual documents composed of repeatable and distinctive visual elements, which are comparable to the text words. Notwithstanding its great success and wide adoption, visual vocabulary created from single-image local descriptors is often shown to be not as effective as desired. In this paper, descriptive visual words (DVWs) and descriptive visual phrases (DVPs) are proposed as the visual correspondences to text words and phrases, where visual phrases refer to the frequently co-occurring visual word pairs. Since images are the carriers of visual objects and scenes, a descriptive visual element set can be composed by the visual words and their combinations which are effective in representing certain visual objects or scenes. Based on this idea, a general framework is proposed for generating DVWs and DVPs for image applications. In a large-scale image database containing 1506 object and scene categories, the visual words and visual word pairs descriptive to certain objects or scenes are identified and collected as the DVWs and DVPs. Experiments show that the DVWs and DVPs are informative and descriptive and, thus, are more comparable with the text words than the classic visual words. We apply the identified DVWs and DVPs in several applications including large-scale near-duplicated image retrieval, image search re-ranking, and object recognition. The combination of DVW and DVP performs better than the state of the art in large-scale near-duplicated image retrieval in terms of accuracy, efficiency and memory consumption. The proposed image search re-ranking algorithm: DWPRank outperforms the state-of-the-art algorithm by 12.4% in mean average precision and about 11 times faster in efficiency.

  2. 76 FR 39792 - Fisheries of the Exclusive Economic Zone Off Alaska; Northern Rockfish in the Bering Sea and...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-07-07

    .... NMFS will accept anonymous comments. Enter ``N/A'' in the required fields, if you wish to remain anonymous. Attachments to electronic comments will be accepted in Microsoft Word, Excel, WordPerfect, or...

  3. Development of First-Graders' Word Reading Skills: For Whom Can Dynamic Assessment Tell Us More?

    PubMed

    Cho, Eunsoo; Compton, Donald L; Gilbert, Jennifer K; Steacy, Laura M; Collins, Alyson A; Lindström, Esther R

    2017-01-01

    Dynamic assessment (DA) of word reading measures learning potential for early reading development by documenting the amount of assistance needed to learn how to read words with unfamiliar orthography. We examined the additive value of DA for predicting first-grade decoding and word recognition development while controlling for autoregressive effects. Additionally, we examined whether predictive validity of DA would be higher for students who have poor phonological awareness skills. First-grade students (n = 105) were assessed on measures of word reading, phonological awareness, rapid automatized naming, and DA in the fall and again assessed on word reading measures in the spring. A series of planned, moderated multiple regression analyses indicated that DA made a significant and unique contribution in predicting word recognition development above and beyond the autoregressor, particularly for students with poor phonological awareness skills. For these students, DA explained 3.5% of the unique variance in end-of-first-grade word recognition that was not attributable to autoregressive effect. Results suggest that DA provides an important source of individual differences in the development of word recognition skills that cannot be fully captured by merely assessing the present level of reading skills through traditional static assessment, particularly for students at risk for developing reading disabilities. © Hammill Institute on Disabilities 2015.

  4. Students’ Representation in Mathematical Word Problem-Solving: Exploring Students’ Self-efficacy

    NASA Astrophysics Data System (ADS)

    Sahendra, A.; Budiarto, M. T.; Fuad, Y.

    2018-01-01

    This descriptive qualitative research aims at investigating student represented in mathematical word problem solving based on self-efficacy. The research subjects are two eighth graders at a school in Surabaya with equal mathematical ability consisting of two female students with high and low self-efficacy. The subjects were chosen based on the results of test of mathematical ability, documentation of the result of middle test in even semester of 2016/2017 academic year, and results of questionnaire of mathematics word problem in terms of self-efficacy scale. The selected students were asked to do mathematical word problem solving and be interviewed. The result of this study shows that students with high self-efficacy tend to use multiple representations of sketches and mathematical models, whereas students with low self-efficacy tend to use single representation of sketches or mathematical models only in mathematical word problem-solving. This study emphasizes that teachers should pay attention of student’s representation as a consideration of designing innovative learning in order to increase the self-efficacy of each student to achieve maximum mathematical achievement although it still requires adjustment to the school situation and condition.

  5. 78 FR 52032 - Atlantic Highly Migratory Species; 2006 Consolidated Atlantic Highly Migratory Species Fishery...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-08-21

    ... may submit attachments to electronic comments in Microsoft Word or Excel, WordPerfect, or Adobe PDF... categories per the percentages outlined in the 2006 Consolidated HMS FMP. In other words, the combined effect... other words, if a vessel is not allowed access to the Cape Hatteras Gear Restricted Area due to the...

  6. Using color management in color document processing

    NASA Astrophysics Data System (ADS)

    Nehab, Smadar

    1995-04-01

    Color Management Systems have been used for several years in Desktop Publishing (DTP) environments. While this development hasn't matured yet, we are already experiencing the next generation of the color imaging revolution-Device Independent Color for the small office/home office (SOHO) environment. Though there are still open technical issues with device independent color matching, they are not the focal point of this paper. This paper discusses two new and crucial aspects in using color management in color document processing: the management of color objects and their associated color rendering methods; a proposal for a precedence order and handshaking protocol among the various software components involved in color document processing. As color peripherals become affordable to the SOHO market, color management also becomes a prerequisite for common document authoring applications such as word processors. The first color management solutions were oriented towards DTP environments whose requirements were largely different. For example, DTP documents are image-centric, as opposed to SOHO documents that are text and charts centric. To achieve optimal reproduction on low-cost SOHO peripherals, it is critical that different color rendering methods are used for the different document object types. The first challenge in using color management of color document processing is the association of rendering methods with object types. As a result of an evolutionary process, color matching solutions are now available as application software, as driver embedded software and as operating system extensions. Consequently, document processing faces a new challenge, the correct selection of the color matching solution while avoiding duplicate color corrections.

  7. A Microsoft Excel® 2010 Based Tool for Calculating Interobserver Agreement

    PubMed Central

    Azulay, Richard L

    2011-01-01

    This technical report provides detailed information on the rationale for using a common computer spreadsheet program (Microsoft Excel®) to calculate various forms of interobserver agreement for both continuous and discontinuous data sets. In addition, we provide a brief tutorial on how to use an Excel spreadsheet to automatically compute traditional total count, partial agreement-within-intervals, exact agreement, trial-by-trial, interval-by-interval, scored-interval, unscored-interval, total duration, and mean duration-per-interval interobserver agreement algorithms. We conclude with a discussion of how practitioners may integrate this tool into their clinical work. PMID:22649578

  8. Introduction of a Microsoft Excel-based unified electronic weekend handover document in Acute and General Medicine in a DGH: aims, outcomes and challenges.

    PubMed

    Kostelec, Pablo; Emanuele Garbelli, Pietro; Emanuele Garbelli, Pietro

    2017-01-01

    On-call weekends in medicine can be a busy and stressful time for junior doctors, as they are responsible for a larger pool of patients, most of whom they would have never met. Clinical handover to the weekend team is extremely important and any communication errors may have a profound impact on patient care, potentially even resulting in avoidable harm or death. Several senior clinical bodies have issued guidelines on best practice in written and verbal handover. These include: standardisation, use of pro forma documents prompting doctors to document vital information (such as ceiling of care/resuscitation status) and prioritisation according to clinical urgency. These guidelines were not consistently followed in our hospital site at the onset of 2014 and junior doctors were becoming increasingly dissatisfied with the handover processes. An initial audit of handover documents used across the medical division on two separate weekends in January 2014, revealed high variability in compliance with documentation of key information. For example, ceiling of care was documented for only 14-42% of patients and resuscitation status in 26-72% of patients respectively. Additionally, each ward used their own self-designed pro forma and patients were not prioritised by clinical urgency. Within six months from the introduction of a standardised, hospital-wide weekend handover pro forma across the medical division and following initial improvements to its layout, ceiling of therapy and resuscitation status were documented in approximately 80% of patients (with some minor variability). Moreover, 100% of patients in acute medicine and 75% of those in general medicine were prioritised by clinical urgency and all wards used the same handover pro forma.

  9. Word Stress in German Single-Word Reading

    ERIC Educational Resources Information Center

    Beyermann, Sandra; Penke, Martina

    2014-01-01

    This article reports a lexical-decision experiment that was conducted to investigate the impact of word stress on visual word recognition in German. Reaction-time latencies and error rates of German readers on different levels of reading proficiency (i.e., third graders and fifth graders from primary school and university students) were compared…

  10. On avoided words, absent words, and their application to biological sequence analysis.

    PubMed

    Almirantis, Yannis; Charalampopoulos, Panagiotis; Gao, Jia; Iliopoulos, Costas S; Mohamed, Manal; Pissis, Solon P; Polychronopoulos, Dimitris

    2017-01-01

    The deviation of the observed frequency of a word w from its expected frequency in a given sequence x is used to determine whether or not the word is avoided . This concept is particularly useful in DNA linguistic analysis. The value of the deviation of w , denoted by [Formula: see text], effectively characterises the extent of a word by its edge contrast in the context in which it occurs. A word w of length [Formula: see text] is a [Formula: see text]-avoided word in x if [Formula: see text], for a given threshold [Formula: see text]. Notice that such a word may be completely absent from x . Hence, computing all such words naïvely can be a very time-consuming procedure, in particular for large k . In this article, we propose an [Formula: see text]-time and [Formula: see text]-space algorithm to compute all [Formula: see text]-avoided words of length k in a given sequence of length n over a fixed-sized alphabet. We also present a time-optimal [Formula: see text]-time algorithm to compute all [Formula: see text]-avoided words (of any length) in a sequence of length n over an integer alphabet of size [Formula: see text]. In addition, we provide a tight asymptotic upper bound for the number of [Formula: see text]-avoided words over an integer alphabet and the expected length of the longest one. We make available an implementation of our algorithm. Experimental results, using both real and synthetic data, show the efficiency and applicability of our implementation in biological sequence analysis. The systematic search for avoided words is particularly useful for biological sequence analysis. We present a linear-time and linear-space algorithm for the computation of avoided words of length k in a given sequence x . We suggest a modification to this algorithm so that it computes all avoided words of x , irrespective of their length, within the same time complexity. We also present combinatorial results with regards to avoided words and absent words.

  11. Narrative medicine and death in the ICU: word clouds as a visual legacy.

    PubMed

    Vanstone, Meredith; Toledo, Feli; Clarke, France; Boyle, Anne; Giacomini, Mita; Swinton, Marilyn; Saunders, Lois; Shears, Melissa; Zytaruk, Nicole; Woods, Anne; Rose, Trudy; Hand-Breckenridge, Tracey; Heels-Ansdell, Diane; Anderson-White, Shelley; Sheppard, Robert; Cook, Deborah

    2016-11-24

    The Word Cloud is a frequent wish in the 3 Wishes Project developed to nurture peace and ease the grieving process for dying critically ill patients. The objective was to examine whether Word Clouds can act as a heuristic approach to encourage a narrative orientation to medicine. Narrative medicine is an approach which can strengthen relationships, compassion and resilience. Word Clouds were created for 42 dying patients, and we interviewed 37 family members and 73 clinicians about their impact. We conducted a directed qualitative content analysis, using the 3 stages of narrative medicine (attention, representation, affiliation) to examine the narrative medicine potential of Word Clouds. The elicitation of stories for the Word Cloud promotes narrative attention to the patient as a whole person. The distillation of these stories into a list of words and the prioritisation of those words for arrangement in the collage encourages a representation that did not enforce a beginning, middle or end to the story of the patient's life. Strong affiliative connections were achieved through the honouring of patients, caring for families and sharing of memories encouraged through the creation, sharing and discussion of Word Clouds. In the 3 Wishes Project, Word Clouds are 1 way that families and clinicians honour a dying patient. Engaging in the process of making a Word Cloud can promote a narrative orientation to medicine, forging connections, making meaning through reminiscence and leaving a legacy of a loved one. Documenting and displaying words to remember someone in death reaffirms their life. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

  12. Auditory word recognition: extrinsic and intrinsic effects of word frequency.

    PubMed

    Connine, C M; Titone, D; Wang, J

    1993-01-01

    Two experiments investigated the influence of word frequency in a phoneme identification task. Speech voicing continua were constructed so that one endpoint was a high-frequency word and the other endpoint was a low-frequency word (e.g., best-pest). Experiment 1 demonstrated that ambiguous tokens were labeled such that a high-frequency word was formed (intrinsic frequency effect). Experiment 2 manipulated the frequency composition of the list (extrinsic frequency effect). A high-frequency list bias produced an exaggerated influence of frequency; a low-frequency list bias showed a reverse frequency effect. Reaction time effects were discussed in terms of activation and postaccess decision models of frequency coding. The results support a late use of frequency in auditory word recognition.

  13. Assessing the Usefulness of Google Books’ Word Frequencies for Psycholinguistic Research on Word Processing

    PubMed Central

    Brysbaert, Marc; Keuleers, Emmanuel; New, Boris

    2011-01-01

    In this Perspective Article we assess the usefulness of Google's new word frequencies for word recognition research (lexical decision and word naming). We find that, despite the massive corpus on which the Google estimates are based (131 billion words from books published in the United States alone), the Google American English frequencies explain 11% less of the variance in the lexical decision times from the English Lexicon Project (Balota et al., 2007) than the SUBTLEX-US word frequencies, based on a corpus of 51 million words from film and television subtitles. Further analyses indicate that word frequencies derived from recent books (published after 2000) are better predictors of word processing times than frequencies based on the full corpus, and that word frequencies based on fiction books predict word processing times better than word frequencies based on the full corpus. The most predictive word frequencies from Google still do not explain more of the variance in word recognition times of undergraduate students and old adults than the subtitle-based word frequencies. PMID:21713191

  14. Investigating the functional neuroanatomy of concrete and abstract word processing through direct electric stimulation (DES) during awake surgery.

    PubMed

    Orena, E F; Caldiroli, D; Acerbi, F; Barazzetta, I; Papagno, C

    2018-06-05

    Neuropsychological, neuroimaging and electrophysiological studies demonstrate that abstract and concrete word processing relies not only on the activity of a common bilateral network but also on dedicated networks. The neuropsychological literature has shown that a selective sparing of abstract relative to concrete words can be documented in lesions of the left anterior temporal regions. We investigated concrete and abstract word processing in 10 patients undergoing direct electrical stimulation (DES) for brain mapping during awake surgery in the left hemisphere. A lexical decision and a concreteness judgment task were added to the neuropsychological assessment during intra-operative monitoring. On the concreteness judgment, DES delivered over the inferior frontal gyrus significantly decreased abstract word accuracy while accuracy for concrete words decreased when the anterior temporal cortex was stimulated. These results are consistent with a lexical-semantic model that distinguishes between concrete and abstract words related to different neural substrates in the left hemisphere.

  15. Active learning for ontological event extraction incorporating named entity recognition and unknown word handling.

    PubMed

    Han, Xu; Kim, Jung-jae; Kwoh, Chee Keong

    2016-01-01

    Biomedical text mining may target various kinds of valuable information embedded in the literature, but a critical obstacle to the extension of the mining targets is the cost of manual construction of labeled data, which are required for state-of-the-art supervised learning systems. Active learning is to choose the most informative documents for the supervised learning in order to reduce the amount of required manual annotations. Previous works of active learning, however, focused on the tasks of entity recognition and protein-protein interactions, but not on event extraction tasks for multiple event types. They also did not consider the evidence of event participants, which might be a clue for the presence of events in unlabeled documents. Moreover, the confidence scores of events produced by event extraction systems are not reliable for ranking documents in terms of informativity for supervised learning. We here propose a novel committee-based active learning method that supports multi-event extraction tasks and employs a new statistical method for informativity estimation instead of using the confidence scores from event extraction systems. Our method is based on a committee of two systems as follows: We first employ an event extraction system to filter potential false negatives among unlabeled documents, from which the system does not extract any event. We then develop a statistical method to rank the potential false negatives of unlabeled documents 1) by using a language model that measures the probabilities of the expression of multiple events in documents and 2) by using a named entity recognition system that locates the named entities that can be event arguments (e.g. proteins). The proposed method further deals with unknown words in test data by using word similarity measures. We also apply our active learning method for the task of named entity recognition. We evaluate the proposed method against the BioNLP Shared Tasks datasets, and show that our method

  16. Developing movement recognition application with the use of Shimmer sensor and Microsoft Kinect sensor.

    PubMed

    Guzsvinecz, Tibor; Szucs, Veronika; Sik Lányi, Cecília

    2015-01-01

    Nowadays the development of virtual reality-based application is one of the most dynamically growing areas. These applications have a wide user base, more and more devices which are providing several kinds of user interactions and are available on the market. In the applications where the not-handheld devices are not necessary, the potential is that these can be used in educational, entertainment and rehabilitation applications. The purpose of this paper is to examine the precision and the efficiency of the not-handheld devices with user interaction in the virtual reality-based applications. The first task of the developed application is to support the rehabilitation process of stroke patients in their homes. A newly developed application will be introduced in this paper, which uses the two popular devices, the Shimmer sensor and the Microsoft Kinect sensor. To identify and to validate the actions of the user these sensors are working together in parallel mode. For the problem solving, the application is available to record an educational pattern, and then the software compares this pattern to the action of the user. The goal of the current research is to examine the extent of the difference in the recognition of the gestures, how precisely the two sensors are identifying the predefined actions. This could affect the rehabilitation process of the stroke patients and influence the efficiency of the rehabilitation. This application was developed in C# programming language and uses the original Shimmer connecting application as a base. During the working of this application it is possible to teach five-five different movements with the use of the Shimmer and the Microsoft Kinect sensors. The application can recognize these actions at any later time. This application uses a file-based database and the runtime memory of the application to store the saved data in order to reach the actions easier. The conclusion is that much more precise data were collected from the

  17. Chinese Learners of English See Chinese Words When Reading English Words.

    PubMed

    Ma, Fengyang; Ai, Haiyang

    2018-06-01

    The present study examines when second language (L2) learners read words in the L2, whether the orthography and/or phonology of the translation words in the first language (L1) is activated and whether the patterns would be modulated by the proficiency in the L2. In two experiments, two groups of Chinese learners of English immersed in the L1 environment, one less proficient and the other more proficient in English, performed a translation recognition task. In this task, participants judged whether pairs of words, with an L2 word preceding an L1 word, were translation words or not. The critical conditions compared the performance of learners to reject distractors that were related to the translation word (e.g., , pronounced as /bei 1/) of an L2 word (e.g., cup) in orthography (e.g., , bad in Chinese, pronounced as /huai 4/) or phonology (e.g., , sad in Chinese, pronounced as /bei 1/). Results of Experiment 1 showed less proficient learners were slower and less accurate to reject translation orthography distractors, as compared to unrelated controls, demonstrating a robust translation orthography interference effect. In contrast, their performance was not significantly different when rejecting translation phonology distractors, relative to unrelated controls, showing no translation phonology interference. The same patterns were observed in more proficient learners in Experiment 2. Together, these results suggest that when Chinese learners of English read English words, the orthographic information, but not the phonological information of the Chinese translation words is activated. In addition, this activation is not modulated by L2 proficiency.

  18. Interface for the documentation and compilation of a library of computer models in physiology.

    PubMed Central

    Summers, R. L.; Montani, J. P.

    1994-01-01

    A software interface for the documentation and compilation of a library of computer models in physiology was developed. The interface is an interactive program built within a word processing template in order to provide ease and flexibility of documentation. A model editor within the interface directs the model builder as to standardized requirements for incorporating models into the library and provides the user with an index to the levels of documentation. The interface and accompanying library are intended to facilitate model development, preservation and distribution and will be available for public use. PMID:7950046

  19. Word learning mechanisms.

    PubMed

    He, Angela Xiaoxue; Arunachalam, Sudha

    2017-07-01

    How do children acquire the meanings of words? Many word learning mechanisms have been proposed to guide learners through this challenging task. Despite the availability of rich information in the learner's linguistic and extralinguistic input, the word-learning task is insurmountable without such mechanisms for filtering through and utilizing that information. Different kinds of words, such as nouns denoting object concepts and verbs denoting event concepts, require to some extent different kinds of information and, therefore, access to different kinds of mechanisms. We review some of these mechanisms to examine the relationship between the input that is available to learners and learners' intake of that input-that is, the organized, interpreted, and stored representations they form. We discuss how learners segment individual words from the speech stream and identify their grammatical categories, how they identify the concepts denoted by these words, and how they refine their initial representations of word meanings. WIREs Cogn Sci 2017, 8:e1435. doi: 10.1002/wcs.1435 This article is categorized under: Linguistics > Language Acquisition Psychology > Language. © 2017 Wiley Periodicals, Inc.

  20. Creating and Evaluating a Hypertext System of Documenting Analytical Test Methods in a Chemical Plant Quality Assurance Laboratory.

    ERIC Educational Resources Information Center

    White, Charles E., Jr.

    The purpose of this study was to develop and implement a hypertext documentation system in an industrial laboratory and to evaluate its usefulness by participative observation and a questionnaire. Existing word-processing test method documentation was converted directly into a hypertext format or "hyperdocument." The hyperdocument was designed and…

  1. Searching for the right word: Hybrid visual and memory search for words

    PubMed Central

    Boettcher, Sage E. P.; Wolfe, Jeremy M.

    2016-01-01

    In “Hybrid Search” (Wolfe 2012) observers search through visual space for any of multiple targets held in memory. With photorealistic objects as stimuli, response times (RTs) increase linearly with the visual set size and logarithmically with memory set size even when over 100 items are committed to memory. It is well established that pictures of objects are particularly easy to memorize (Brady, Konkle, Alvarez, & Olivia, 2008). Would hybrid search performance be similar if the targets were words or phrases where word order can be important and where the processes of memorization might be different? In Experiment One, observers memorized 2, 4, 8, or 16 words in 4 different blocks. After passing a memory test, confirming memorization of the list, observers searched for these words in visual displays containing 2 to 16 words. Replicating Wolfe (2012), RTs increased linearly with the visual set size and logarithmically with the length of the word list. The word lists of Experiment One were random. In Experiment Two, words were drawn from phrases that observers reported knowing by heart (E.G. “London Bridge is falling down”). Observers were asked to provide four phrases ranging in length from 2 words to a phrase of no less than 20 words (range 21–86). Words longer than 2 characters from the phrase constituted the target list. Distractor words were matched for length and frequency. Even with these strongly ordered lists, results again replicated the curvilinear function of memory set size seen in hybrid search. One might expect serial position effects; perhaps reducing RTs for the first (primacy) and/or last (recency) members of a list (Atkinson & Shiffrin 1968; Murdock, 1962). Surprisingly we showed no reliable effects of word order. Thus, in “London Bridge is falling down”, “London” and “down” are found no faster than “falling”. PMID:25788035

  2. [The Breast Unit in the European and national policy documents: similarities and differences].

    PubMed

    Marcon, Anna; Albertini, Giovanna; Di Gregori, Valentina; Ghirarduzzi, Angelo; Fantini, Maria Pia

    2013-11-01

    Aim of this study is to assess differences and similarities in official European and Italian Ministry of Health policy documents referring to the subject "Breast Unit". The T-Lab software package for textual analysis was used to analyze the documents. This instrument permits the identification of the most frequent used words and the semantic network associated with "Breast Unit". Results show that the European document gives more emphasis to the concept of "integrated care", delivered by a multi-professional team that meets the clinical, psychological and informational needs of the patient. The Italian document gives more prominence to themes related to the clinical content of the interventions and managerial aspects through the use of clinical guidelines.

  3. Ideas without Words--Internationalizing Business Presentations.

    ERIC Educational Resources Information Center

    Sondak, Norman; Sondak, Eileen

    This paper presents elements of the computer graphics environment including information on: Lotus 1-2-3; Apple Macintosh; Desktop Publishing; Object-Oriented Programming; and Microsoft's Windows 3. A brief scenario illustrates the use of the minimization principle in presenting a new product to a group of international financiers. A taxonomy of…

  4. Phonotactics Constraints and the Spoken Word Recognition of Chinese Words in Speech

    ERIC Educational Resources Information Center

    Yip, Michael C.

    2016-01-01

    Two word-spotting experiments were conducted to examine the question of whether native Cantonese listeners are constrained by phonotactics information in spoken word recognition of Chinese words in speech. Because no legal consonant clusters occurred within an individual Chinese word, this kind of categorical phonotactics information of Chinese…

  5. The Mechanism of Word Crowding

    PubMed Central

    Yu, Deyue; Akau, Melanie M. U.; Chung, Susana T. L.

    2011-01-01

    Word reading speed in peripheral vision is slower when words are in close proximity of other words (Chung, 2004). This word crowding effect could arise as a consequence of interaction of low-level letter features between words, or the interaction between high-level holistic representations of words. We evaluated these two hypotheses by examining how word crowding changes for five configurations of flanking words: the control condition — flanking words were oriented upright; scrambled — letters in each flanking word were scrambled in order; horizontal-flip — each flanking word was the left-right mirror-image of the original; letter-flip — each letter of the flanking word was the left-right mirror-image of the original; and vertical-flip — each flanking word was the up-down mirror-image of the original. The low-level letter feature interaction hypothesis predicts similar word crowding effect for all the different flanker configurations, while the high-level holistic representation hypothesis predicts less word crowding effect for all the alternative flanker conditions, compared with the control condition. We found that oral reading speed for words flanked above and below by other words, measured at 10° eccentricity in the nasal field, showed the same dependence on the vertical separation between the target and its flanking words, for the various flanker configurations. The result was also similar when we rotated the flanking words by 90° to disrupt the periodic vertical pattern, which presumably is the main structure in words. The remarkably similar word crowding effect irrespective of the flanker configurations suggests that word crowding arises as a consequence of interactions of low-level letter features. PMID:22079315

  6. The mechanism of word crowding.

    PubMed

    Yu, Deyue; Akau, Melanie M U; Chung, Susana T L

    2012-01-01

    Word reading speed in peripheral vision is slower when words are in close proximity of other words (Chung, 2004). This word crowding effect could arise as a consequence of interaction of low-level letter features between words, or the interaction between high-level holistic representations of words. We evaluated these two hypotheses by examining how word crowding changes for five configurations of flanking words: the control condition - flanking words were oriented upright; scrambled - letters in each flanking word were scrambled in order; horizontal-flip - each flanking word was the left-right mirror-image of the original; letter-flip - each letter of the flanking word was the left-right mirror-image of the original; and vertical-flip - each flanking word was the up-down mirror-image of the original. The low-level letter feature interaction hypothesis predicts similar word crowding effect for all the different flanker configurations, while the high-level holistic representation hypothesis predicts less word crowding effect for all the alternative flanker conditions, compared with the control condition. We found that oral reading speed for words flanked above and below by other words, measured at 10° eccentricity in the nasal field, showed the same dependence on the vertical separation between the target and its flanking words, for the various flanker configurations. The result was also similar when we rotated the flanking words by 90° to disrupt the periodic vertical pattern, which presumably is the main structure in words. The remarkably similar word crowding effect irrespective of the flanker configurations suggests that word crowding arises as a consequence of interactions of low-level letter features. Copyright © 2011 Elsevier Ltd. All rights reserved.

  7. Automated search and retrieval of information from imaged documents using optical correlation techniques

    NASA Astrophysics Data System (ADS)

    Stalcup, Bruce W.; Dennis, Phillip W.; Dydyk, Robert B.

    1999-10-01

    Litton PRC and Litton Data Systems Division are developing a system, the Imaged Document Optical Correlation and Conversion System (IDOCCS), to provide a total solution to the problem of managing and retrieving textual and graphic information from imaged document archives. At the heart of IDOCCS, optical correlation technology provides the search and retrieval of information from imaged documents. IDOCCS can be used to rapidly search for key words or phrases within the imaged document archives. In addition, IDOCCS can automatically compare an input document with the archived database to determine if it is a duplicate, thereby reducing the overall resources required to maintain and access the document database. Embedded graphics on imaged pages can also be exploited; e.g., imaged documents containing an agency's seal or logo can be singled out. In this paper, we present a description of IDOCCS as well as preliminary performance results and theoretical projections.

  8. Artificial neural networks for document analysis and recognition.

    PubMed

    Marinai, Simone; Gori, Marco; Soda, Giovanni; Society, Computer

    2005-01-01

    Artificial neural networks have been extensively applied to document analysis and recognition. Most efforts have been devoted to the recognition of isolated handwritten and printed characters with widely recognized successful results. However, many other document processing tasks, like preprocessing, layout analysis, character segmentation, word recognition, and signature verification, have been effectively faced with very promising results. This paper surveys the most significant problems in the area of offline document image processing, where connectionist-based approaches have been applied. Similarities and differences between approaches belonging to different categories are discussed. A particular emphasis is given on the crucial role of prior knowledge for the conception of both appropriate architectures and learning algorithms. Finally, the paper provides a critical analysis on the reviewed approaches and depicts the most promising research guidelines in the field. In particular, a second generation of connectionist-based models are foreseen which are based on appropriate graphical representations of the learning environment.

  9. Word learning and the cerebral hemispheres: from serial to parallel processing of written words

    PubMed Central

    Ellis, Andrew W.; Ferreira, Roberto; Cathles-Hagan, Polly; Holt, Kathryn; Jarvis, Lisa; Barca, Laura

    2009-01-01

    Reading familiar words differs from reading unfamiliar non-words in two ways. First, word reading is faster and more accurate than reading of unfamiliar non-words. Second, effects of letter length are reduced for words, particularly when they are presented in the right visual field in familiar formats. Two experiments are reported in which right-handed participants read aloud non-words presented briefly in their left and right visual fields before and after training on those items. The non-words were interleaved with familiar words in the naming tests. Before training, naming was slow and error prone, with marked effects of length in both visual fields. After training, fewer errors were made, naming was faster, and the effect of length was much reduced in the right visual field compared with the left. We propose that word learning creates orthographic word forms in the mid-fusiform gyrus of the left cerebral hemisphere. Those word forms allow words to access their phonological and semantic representations on a lexical basis. But orthographic word forms also interact with more posterior letter recognition systems in the middle/inferior occipital gyri, inducing more parallel processing of right visual field words than is possible for any left visual field stimulus, or for unfamiliar non-words presented in the right visual field. PMID:19933140

  10. Transnationalism and Rights in the Age of Empire: Spoken Word, Music, and Digital Culture in the Borderlands

    ERIC Educational Resources Information Center

    Hicks, Emily D.

    2004-01-01

    The cultural activities, including the performance of music and spoken word are documented. The cultural activities in the San Diego-Tijuana region that is described is emerged from rhizomatic, transnational points of contact.

  11. Electrodermal responses to words in chronic low back pain patients: a comparison between pain descriptors, other emotional words, and neutral words.

    PubMed

    Bonnet, Adeline; Naveteur, Janick

    2006-10-01

    This study examines the electrodermal reactivity of chronic sufferers to emotional words. The hypothesis that patients are over-sensitive to pain descriptors is tested. Electrodermal activity was recorded in 12 chronic low back pain patients and 12 healthy controls during passive viewing of words on a video monitor. These words were pain descriptors, other emotional words, and neutral words, in a pseudo-randomized order. A jingle was associated with the word occurrence. In chronic low back pain patients, skin conductance responses (SCRs) induced by pain descriptors or other emotional words were larger than SCRs induced by neutral words but they did not differ from each other. Patients presented SCRs, which were both larger and faster than those of controls, including following neutral words. There was no significant effect of word type in controls. Skin conductance level and the number of nonspecific fluctuations were larger in patients as compared with controls. The present electrodermal study suggests that chronic pain is linked to an increased reactivity to a wide range of stimuli. Emotional load amplifies the effect. This leads to recommend broad therapeutic management in chronic sufferers. Contrary to expectation derived from classical conditioning, patients did not prove over-sensitive to pain descriptors. This negative finding is discussed at methodologic, physiologic, and psychologic levels.

  12. Cryptanalysis on classical cipher based on Indonesian language

    NASA Astrophysics Data System (ADS)

    Marwati, R.; Yulianti, K.

    2018-05-01

    Cryptanalysis is a process of breaking a cipher in an illegal decryption. This paper discusses about encryption some classic cryptography, breaking substitution cipher and stream cipher, and increasing its security. Encryption and ciphering based on Indonesian Language text. Microsoft Word and Microsoft Excel were chosen as ciphering and breaking tools.

  13. Tools for Requirements Management: A Comparison of Telelogic DOORS and the HiVe

    DTIC Science & Technology

    2006-07-01

    types DOORS deals with are text files, spreadsheets, FrameMaker , rich text, Microsoft Word and Microsoft Project. 2.5.1 Predefined file formats DOORS...during the export. DOORS exports FrameMaker files in an incomplete format, meaning DOORS exported files will have to be opened in FrameMaker and saved

  14. Word type effects in false recall: concrete, abstract, and emotion word critical lures.

    PubMed

    Bauer, Lisa M; Olheiser, Erik L; Altarriba, Jeanette; Landi, Nicole

    2009-01-01

    Previous research has demonstrated that definable qualities of verbal stimuli have implications for memory. For example, the distinction between concrete and abstract words has led to the finding that concrete words have an advantage in memory tasks (i.e., the concreteness effect). However, other word types, such as words that label specific human emotions, may also affect memory processes. This study examined the effects of word type on the production of false memories by using a list-learning false memory paradigm. Participants heard lists of words that were highly associated to nonpresented concrete, abstract, or emotion words (i.e., the critical lures) and then engaged in list recall. Emotion word critical lures were falsely recalled at a significantly higher rate (with the effect carried by the positively valenced critical lures) than concrete and abstract critical lures. These findings suggest that the word type variable has implications for our understanding of the mechanisms that underlie recall and false recall.

  15. Jasper Johns' Painted Words.

    ERIC Educational Resources Information Center

    Levinger, Esther

    1989-01-01

    States that the painted words in Jasper Johns' art act in two different capacities: concealed words partake in the artist's interrogation of visual perception; and visible painted words question classical representation. Argues that words are Johns' means of critiquing modernism. (RS)

  16. Searching for the right word: Hybrid visual and memory search for words.

    PubMed

    Boettcher, Sage E P; Wolfe, Jeremy M

    2015-05-01

    In "hybrid search" (Wolfe Psychological Science, 23(7), 698-703, 2012), observers search through visual space for any of multiple targets held in memory. With photorealistic objects as the stimuli, response times (RTs) increase linearly with the visual set size and logarithmically with the memory set size, even when over 100 items are committed to memory. It is well-established that pictures of objects are particularly easy to memorize (Brady, Konkle, Alvarez, & Oliva Proceedings of the National Academy of Sciences, 105, 14325-14329, 2008). Would hybrid-search performance be similar if the targets were words or phrases, in which word order can be important, so that the processes of memorization might be different? In Experiment 1, observers memorized 2, 4, 8, or 16 words in four different blocks. After passing a memory test, confirming their memorization of the list, the observers searched for these words in visual displays containing two to 16 words. Replicating Wolfe (Psychological Science, 23(7), 698-703, 2012), the RTs increased linearly with the visual set size and logarithmically with the length of the word list. The word lists of Experiment 1 were random. In Experiment 2, words were drawn from phrases that observers reported knowing by heart (e.g., "London Bridge is falling down"). Observers were asked to provide four phrases, ranging in length from two words to no less than 20 words (range 21-86). All words longer than two characters from the phrase, constituted the target list. Distractor words were matched for length and frequency. Even with these strongly ordered lists, the results again replicated the curvilinear function of memory set size seen in hybrid search. One might expect to find serial position effects, perhaps reducing the RTs for the first (primacy) and/or the last (recency) members of a list (Atkinson & Shiffrin, 1968; Murdock Journal of Experimental Psychology, 64, 482-488, 1962). Surprisingly, we showed no reliable effects of word order

  17. Recalling taboo and nontaboo words.

    PubMed

    Jay, Timothy; Caldwell-Harris, Catherine; King, Krista

    2008-01-01

    People remember emotional and taboo words better than neutral words. It is well known that words that are processed at a deep (i.e., semantic) level are recalled better than words processed at a shallow (i.e., purely visual) level. To determine how depth of processing influences recall of emotional and taboo words, a levels of processing paradigm was used. Whether this effect holds for emotional and taboo words has not been previously investigated. Two experiments demonstrated that taboo and emotional words benefit less from deep processing than do neutral words. This is consistent with the proposal that memories for taboo and emotional words are a function of the arousal level they evoke, even under shallow encoding conditions. Recall was higher for taboo words, even when taboo words were cued to be recalled after neutral and emotional words. The superiority of taboo word recall is consistent with cognitive neuroscience and brain imaging research.

  18. Word Criticality Analysis MOS: 76W. Skill Levels 1 & 2

    DTIC Science & Technology

    1981-09-01

    some degree of criticality in the training/performance of tasks contained in the respective MOS Soldier’s Manual (SM). These critical words were...printout. The prime users of this document were fully cognizant of its contents and required no special instructioft for interpretation . However, for the...Skill Level II However, due to the way some Soldier Manuals are constructed, the WCA for some MOS have both Skill Levels merged into one report. Each

  19. Marketing-Stimulated Word-of-Mouth: A Channel for Growing Demand.

    PubMed

    Gombeski, William R; Martin, Becky; Britt, Jason

    2015-01-01

    Marketing-stimulated word-of-mouth (WOM) marketing has been poorly understood in health care, leading to it being underappreciated and underutilized by marketers. A study of new patients to a new runner's clinic was conducted to understand how they chose the program. The importance of marketing-stimulated WOM, both individual and organizational, is documented. Marketing-stimulated WOM is an often overlooked and rarely measured channel for increasing the impact of marketing programs.

  20. The role of the phonological loop in English word learning: a comparison of Chinese ESL learners and native speakers.

    PubMed

    Hamada, Megumi; Koda, Keiko

    2011-04-01

    Although the role of the phonological loop in word-retention is well documented, research in Chinese character retention suggests the involvement of non-phonological encoding. This study investigated whether the extent to which the phonological loop contributes to learning and remembering visually introduced words varies between college-level Chinese ESL learners (N = 20) and native speakers of English (N = 20). The groups performed a paired associative learning task under two conditions (control versus articulatory suppression) with two word types (regularly spelled versus irregularly spelled words) differing in degree of phonological accessibility. The results demonstrated that both groups' recall declined when the phonological loop was made less available (with irregularly spelled words and in the articulatory suppression condition), but the decline was greater for the native group. These results suggest that word learning entails phonological encoding uniformly across learners, but the contribution of phonology varies among learners with diverse linguistic backgrounds.

  1. Reading Big Words: Instructional Practices to Promote Multisyllabic Word Reading Fluency

    ERIC Educational Resources Information Center

    Toste, Jessica R.; Williams, Kelly J.; Capin, Philip

    2017-01-01

    Poorly developed word recognition skills are the most pervasive and debilitating source of reading challenges for students with learning disabilities (LD). With a notable decrease in word reading instruction in the upper elementary grades, struggling readers receive fewer instructional opportunities to develop proficient word reading skills, yet…

  2. Segmentation of Vowel-Initial Words Is Facilitated by Function Words

    ERIC Educational Resources Information Center

    Kim, Yun Jung; Sundara, Megha

    2015-01-01

    Within the first year of life, infants learn to segment words from fluent speech. Previous research has shown that infants at 0;7·5 can segment consonant-initial words, yet the ability to segment vowel-initial words does not emerge until the age of 1;1-1;4 (0;11 in some restricted cases). In five experiments, we show that infants aged 0;11 but not…

  3. Towards a detailed anthropometric body characterization using the Microsoft Kinect.

    PubMed

    Domingues, Ana; Barbosa, Filipa; Pereira, Eduardo M; Santos, Márcio Borgonovo; Seixas, Adérito; Vilas-Boas, João; Gabriel, Joaquim; Vardasca, Ricardo

    2016-01-01

    Anthropometry has been widely used in different fields, providing relevant information for medicine, ergonomics and biometric applications. However, the existent solutions present marked disadvantages, reducing the employment of this type of evaluation. Studies have been conducted in order to easily determine anthropometric measures considering data provided by low-cost sensors, such as the Microsoft Kinect. In this work, a methodology is proposed and implemented for estimating anthropometric measures considering the information acquired with this sensor. The measures obtained with this method were compared with the ones from a validation system, Qualisys. Comparing the relative errors determined with state-of-art references, for some of the estimated measures, lower errors were verified and a more complete characterization of the whole body structure was achieved.

  4. Interactive Word Walls

    ERIC Educational Resources Information Center

    Jackson, Julie; Narvaez, Rose

    2013-01-01

    It is common to see word walls displaying the vocabulary that students have learned in class. Word walls serve as visual scaffolds and are a classroom strategy used to reinforce reading and language arts instruction. Research shows a strong relationship between student word knowledge and academic achievement (Stahl and Fairbanks 1986). As a…

  5. For the Love of Words: Fostering Word Consciousness in Young Readers

    ERIC Educational Resources Information Center

    Graves, Michael F.; Watts-Taffe, Susan

    2008-01-01

    Recent descriptions of comprehensive vocabulary programs identify fostering word consciousness (getting students really interested in and excited about words) as a crucial component of effective programs. This article defines word consciousness, explains why it is important and how it fits into the curriculum, describes a six-part framework…

  6. WordCluster: detecting clusters of DNA words and genomic elements

    PubMed Central

    2011-01-01

    Background Many k-mers (or DNA words) and genomic elements are known to be spatially clustered in the genome. Well established examples are the genes, TFBSs, CpG dinucleotides, microRNA genes and ultra-conserved non-coding regions. Currently, no algorithm exists to find these clusters in a statistically comprehensible way. The detection of clustering often relies on densities and sliding-window approaches or arbitrarily chosen distance thresholds. Results We introduce here an algorithm to detect clusters of DNA words (k-mers), or any other genomic element, based on the distance between consecutive copies and an assigned statistical significance. We implemented the method into a web server connected to a MySQL backend, which also determines the co-localization with gene annotations. We demonstrate the usefulness of this approach by detecting the clusters of CAG/CTG (cytosine contexts that can be methylated in undifferentiated cells), showing that the degree of methylation vary drastically between inside and outside of the clusters. As another example, we used WordCluster to search for statistically significant clusters of olfactory receptor (OR) genes in the human genome. Conclusions WordCluster seems to predict biological meaningful clusters of DNA words (k-mers) and genomic entities. The implementation of the method into a web server is available at http://bioinfo2.ugr.es/wordCluster/wordCluster.php including additional features like the detection of co-localization with gene regions or the annotation enrichment tool for functional analysis of overlapped genes. PMID:21261981

  7. Single-Word Recognition Need Not Depend on Single-Word Features: Narrative Coherence Counteracts Effects of Single-Word Features that Lexical Decision Emphasizes.

    PubMed

    Teng, Dan W; Wallot, Sebastian; Kelty-Stephen, Damian G

    2016-12-01

    Research on reading comprehension of connected text emphasizes reliance on single-word features that organize a stable, mental lexicon of words and that speed or slow the recognition of each new word. However, the time needed to recognize a word might not actually be as fixed as previous research indicates, and the stability of the mental lexicon may change with task demands. The present study explores the effects of narrative coherence in self-paced story reading to single-word feature effects in lexical decision. We presented single strings of letters to 24 participants, in both lexical decision and self-paced story reading. Both tasks included the same words composing a set of adjective-noun pairs. Reading times revealed that the tasks, and the order of the presentation of the tasks, changed and/or eliminated familiar effects of single-word features. Specifically, experiencing the lexical-decision task first gradually emphasized the role of single-word features, and experiencing the self-paced story-reading task afterwards counteracted the effect of single-word features. We discuss the implications that task-dependence and narrative coherence might have for the organization of the mental lexicon. Future work will need to consider what architectures suit the apparent flexibility with which task can accentuate or diminish effects of single-word features.

  8. Teaching Simulation and Computer-Aided Separation Optimization in Liquid Chromatography by Means of Illustrative Microsoft Excel Spreadsheets

    ERIC Educational Resources Information Center

    Fasoula, S.; Nikitas, P.; Pappa-Louisi, A.

    2017-01-01

    A series of Microsoft Excel spreadsheets were developed to simulate the process of separation optimization under isocratic and simple gradient conditions. The optimization procedure is performed in a stepwise fashion using simple macros for an automatic application of this approach. The proposed optimization approach involves modeling of the peak…

  9. Genes2WordCloud: a quick way to identify biological themes from gene lists and free text.

    PubMed

    Baroukh, Caroline; Jenkins, Sherry L; Dannenfelser, Ruth; Ma'ayan, Avi

    2011-10-13

    Word-clouds recently emerged on the web as a solution for quickly summarizing text by maximizing the display of most relevant terms about a specific topic in the minimum amount of space. As biologists are faced with the daunting amount of new research data commonly presented in textual formats, word-clouds can be used to summarize and represent biological and/or biomedical content for various applications. Genes2WordCloud is a web application that enables users to quickly identify biological themes from gene lists and research relevant text by constructing and displaying word-clouds. It provides users with several different options and ideas for the sources that can be used to generate a word-cloud. Different options for rendering and coloring the word-clouds give users the flexibility to quickly generate customized word-clouds of their choice. Genes2WordCloud is a word-cloud generator and a word-cloud viewer that is based on WordCram implemented using Java, Processing, AJAX, mySQL, and PHP. Text is fetched from several sources and then processed to extract the most relevant terms with their computed weights based on word frequencies. Genes2WordCloud is freely available for use online; it is open source software and is available for installation on any web-site along with supporting documentation at http://www.maayanlab.net/G2W. Genes2WordCloud provides a useful way to summarize and visualize large amounts of textual biological data or to find biological themes from several different sources. The open source availability of the software enables users to implement customized word-clouds on their own web-sites and desktop applications.

  10. Words and Melody Are Intertwined in Perception of Sung Words: EEG and Behavioral Evidence

    PubMed Central

    Gordon, Reyna L.; Schön, Daniele; Magne, Cyrille; Astésano, Corine; Besson, Mireille

    2010-01-01

    Language and music, two of the most unique human cognitive abilities, are combined in song, rendering it an ecological model for comparing speech and music cognition. The present study was designed to determine whether words and melodies in song are processed interactively or independently, and to examine the influence of attention on the processing of words and melodies in song. Event-Related brain Potentials (ERPs) and behavioral data were recorded while non-musicians listened to pairs of sung words (prime and target) presented in four experimental conditions: same word, same melody; same word, different melody; different word, same melody; different word, different melody. Participants were asked to attend to either the words or the melody, and to perform a same/different task. In both attentional tasks, different word targets elicited an N400 component, as predicted based on previous results. Most interestingly, different melodies (sung with the same word) elicited an N400 component followed by a late positive component. Finally, ERP and behavioral data converged in showing interactions between the linguistic and melodic dimensions of sung words. The finding that the N400 effect, a well-established marker of semantic processing, was modulated by musical melody in song suggests that variations in musical features affect word processing in sung language. Implications of the interactions between words and melody are discussed in light of evidence for shared neural processing resources between the phonological/semantic aspects of language and the melodic/harmonic aspects of music. PMID:20360991

  11. An action-based fine-grained access control mechanism for structured documents and its application.

    PubMed

    Su, Mang; Li, Fenghua; Tang, Zhi; Yu, Yinyan; Zhou, Bo

    2014-01-01

    This paper presents an action-based fine-grained access control mechanism for structured documents. Firstly, we define a describing model for structured documents and analyze the application scenarios. The describing model could support the permission management on chapters, pages, sections, words, and pictures of structured documents. Secondly, based on the action-based access control (ABAC) model, we propose a fine-grained control protocol for structured documents by introducing temporal state and environmental state. The protocol covering different stages from document creation, to permission specification and usage control are given by using the Z-notation. Finally, we give the implementation of our mechanism and make the comparisons between the existing methods and our mechanism. The result shows that our mechanism could provide the better solution of fine-grained access control for structured documents in complicated networks. Moreover, it is more flexible and practical.

  12. Words in Context: The Effects of Length, Frequency, and Predictability on Brain Responses During Natural Reading

    PubMed Central

    Schuster, Sarah; Hawelka, Stefan; Hutzler, Florian; Kronbichler, Martin; Richlan, Fabio

    2016-01-01

    Word length, frequency, and predictability count among the most influential variables during reading. Their effects are well-documented in eye movement studies, but pertinent evidence from neuroimaging primarily stem from single-word presentations. We investigated the effects of these variables during reading of whole sentences with simultaneous eye-tracking and functional magnetic resonance imaging (fixation-related fMRI). Increasing word length was associated with increasing activation in occipital areas linked to visual analysis. Additionally, length elicited a U-shaped modulation (i.e., least activation for medium-length words) within a brain stem region presumably linked to eye movement control. These effects, however, were diminished when accounting for multiple fixation cases. Increasing frequency was associated with decreasing activation within left inferior frontal, superior parietal, and occipito-temporal regions. The function of the latter region—hosting the putative visual word form area—was originally considered as limited to sublexical processing. An exploratory analysis revealed that increasing predictability was associated with decreasing activation within middle temporal and inferior frontal regions previously implicated in memory access and unification. The findings are discussed with regard to their correspondence with findings from single-word presentations and with regard to neurocognitive models of visual word recognition, semantic processing, and eye movement control during reading. PMID:27365297

  13. Word Frequency As a Cue For Identifying Function Words In Infancy

    ERIC Educational Resources Information Center

    Hochmann, Jean-Remy; Endress, Ansgar D.; Mehler, Jacques

    2010-01-01

    While content words (e.g., 'dog') tend to carry meaning, function words (e.g., 'the') mainly serve syntactic purposes. Here, we ask whether 17-month old infants can use one language-universal cue to identify function word candidates: their high frequency of occurrence. In Experiment 1, infants listened to a series of short, naturally recorded…

  14. Effects of audio-visual presentation of target words in word translation training

    NASA Astrophysics Data System (ADS)

    Akahane-Yamada, Reiko; Komaki, Ryo; Kubo, Rieko

    2004-05-01

    Komaki and Akahane-Yamada (Proc. ICA2004) used 2AFC translation task in vocabulary training, in which the target word is presented visually in orthographic form of one language, and the appropriate meaning in another language has to be chosen between two choices. Present paper examined the effect of audio-visual presentation of target word when native speakers of Japanese learn to translate English words into Japanese. Pairs of English words contrasted in several phonemic distinctions (e.g., /r/-/l/, /b/-/v/, etc.) were used as word materials, and presented in three conditions; visual-only (V), audio-only (A), and audio-visual (AV) presentations. Identification accuracy of those words produced by two talkers was also assessed. During pretest, the accuracy for A stimuli was lowest, implying that insufficient translation ability and listening ability interact with each other when aurally presented word has to be translated. However, there was no difference in accuracy between V and AV stimuli, suggesting that participants translate the words depending on visual information only. The effect of translation training using AV stimuli did not transfer to identification ability, showing that additional audio information during translation does not help improve speech perception. Further examination is necessary to determine the effective L2 training method. [Work supported by TAO, Japan.

  15. A Spoken Word Count.

    ERIC Educational Resources Information Center

    Jones, Lyle V.; Wepman, Joseph M.

    This word count is a composite listing of the different words spoken by a selected sample of 54 English-speaking adults and the frequency with which each of the different words was used in a particular test. The stimulus situation was identical for each subject and consisted of 20 cards of the Thematic Apperception Test. Although most word counts…

  16. Reader, Word, and Character Attributes Contributing to Chinese Children's Concept of Word

    ERIC Educational Resources Information Center

    Chen, Jing; Lin, Tzu-Jung; Ku, Yu-Min; Zhang, Jie; O'Connell, Ann

    2018-01-01

    Concept of word--the awareness of how words differ from nonwords or other linguistic properties--is important to learning to read Chinese because words in Chinese texts are not separated by space, and most characters can be productively compounded with other characters to form new words. The current study examined the effects of reader, word, and…

  17. Abolishing the Word-Length Effect

    ERIC Educational Resources Information Center

    Hulme, Charles; Suprenant, Aime M.; Bireta, Tamra J.; Stuart, George; Neath, Ian

    2004-01-01

    The authors report 2 experiments that compare the recall of long and short words in pure and mixed lists. In pure lists, long words were much more poorly remembered than short words. In mixed lists, this word-length effect was abolished and both the long and short words were recalled as well as short words in pure lists. These findings contradict…

  18. THE EFFECT OF WORD ASSOCIATIONS ON THE RECOGNITION OF FLASHED WORDS.

    ERIC Educational Resources Information Center

    SAMUELS, S. JAY

    THE HYPOTHESIS THAT WHEN ASSOCIATED PAIRS OF WORDS ARE PRESENTED, SPEED OF RECOGNITION WILL BE FASTER THAN WHEN NONASSOCIATED WORD PAIRS ARE PRESENTED OR WHEN A TARGET WORD IS PRESENTED BY ITSELF WAS TESTED. TWENTY UNIVERSITY STUDENTS, INITIALLY SCREENED FOR VISION, WERE ASSIGNED RANDOMLY TO ROWS OF A 5 X 5 REPEATED-MEASURES LATIN SQUARE DESIGN.…

  19. Knowledge inhibition and N400: a study with words that look like common words.

    PubMed

    Debruille, J B

    1998-04-01

    In addition to their own representations, low frequency words, such as BRIBE, can covertly activate the representations of higher frequency words they look like (e.g., BRIDE). Hence, look-alike words can activate knowledge that is incompatible with the knowledge corresponding to accurate representations. Comparatively, eccentric words, that is, low frequency words that do not look as much like higher frequency words, are less likely to activate incompatible knowledge. This study focuses on the hypothesis that the N400 component of the event-related potential reflects the inhibition of incompatible knowledge. This hypothesis predicts that look-alike words elicit N400s of greater amplitudes than eccentric words in conditions where incompatible knowledge is inhibited. Results from a single item lexical decision experiment are reported which support the inhibition hypothesis. Copyright 1998 Academic Press.

  20. The Activation of Embedded Words in Spoken Word Identification Is Robust but Constrained: Evidence from the Picture-Word Interference Paradigm

    ERIC Educational Resources Information Center

    Bowers, Jeffrey S.; Davis, Colin J.; Mattys, Sven L.; Damian, Markus F.; Hanley, Derek

    2009-01-01

    Three picture-word interference (PWI) experiments assessed the extent to which embedded subset words are activated during the identification of spoken superset words (e.g., "bone" in "trombone"). Participants named aloud pictures (e.g., "brain") while spoken distractors were presented. In the critical condition,…

  1. All words are not created equal: Expectations about word length guide infant statistical learning

    PubMed Central

    Lew-Williams, Casey; Saffran, Jenny R.

    2011-01-01

    Infants have been described as ‘statistical learners’ capable of extracting structure (such as words) from patterned input (such as language). Here, we investigated whether prior knowledge influences how infants track transitional probabilities in word segmentation tasks. Are infants biased by prior experience when engaging in sequential statistical learning? In a laboratory simulation of learning across time, we exposed 9- and 10-month-old infants to a list of either bisyllabic or trisyllabic nonsense words, followed by a pause-free speech stream composed of a different set of bisyllabic or trisyllabic nonsense words. Listening times revealed successful segmentation of words from fluent speech only when words were uniformly bisyllabic or trisyllabic throughout both phases of the experiment. Hearing trisyllabic words during the pre-exposure phase derailed infants’ abilities to segment speech into bisyllabic words, and vice versa. We conclude that prior knowledge about word length equips infants with perceptual expectations that facilitate efficient processing of subsequent language input. PMID:22088408

  2. Oral-diadochokinetic rates for Hebrew-speaking school-age children: real words vs. non-words repetition.

    PubMed

    Icht, Michal; Ben-David, Boaz M

    2015-02-01

    Oral-diadochokinesis (DDK) tasks are a common tool for evaluating speech disorders. Usually, these tasks involve repetitions of non-words. It has been suggested that repeating real words can be more suitable for preschool children. But, the impact of using real words with elementary school children has not been studied yet. This study evaluated oral-DDK rates for Hebrew-speaking elementary school children using non-words and real words. The participants were 60 children, 9-11 years old, with normal speech and language development, who were asked to repeat "pataka" (non-word) and "bodeket" (Hebrew real word). Data replicate the advantage generally found for real word repetition with preschoolers. Children produced real words faster than non-words for all age groups, and repetition rates were higher for the older children. The findings suggest that adding real words to the standard oral-DDK task with elementary school children may provide a more comprehensive picture of oro-motor function.

  3. An Array Library for Microsoft SQL Server with Astrophysical Applications

    NASA Astrophysics Data System (ADS)

    Dobos, L.; Szalay, A. S.; Blakeley, J.; Falck, B.; Budavári, T.; Csabai, I.

    2012-09-01

    Today's scientific simulations produce output on the 10-100 TB scale. This unprecedented amount of data requires data handling techniques that are beyond what is used for ordinary files. Relational database systems have been successfully used to store and process scientific data, but the new requirements constantly generate new challenges. Moving terabytes of data among servers on a timely basis is a tough problem, even with the newest high-throughput networks. Thus, moving the computations as close to the data as possible and minimizing the client-server overhead are absolutely necessary. At least data subsetting and preprocessing have to be done inside the server process. Out of the box commercial database systems perform very well in scientific applications from the prospective of data storage optimization, data retrieval, and memory management but lack basic functionality like handling scientific data structures or enabling advanced math inside the database server. The most important gap in Microsoft SQL Server is the lack of a native array data type. Fortunately, the technology exists to extend the database server with custom-written code that enables us to address these problems. We present the prototype of a custom-built extension to Microsoft SQL Server that adds array handling functionality to the database system. With our Array Library, fix-sized arrays of all basic numeric data types can be created and manipulated efficiently. Also, the library is designed to be able to be seamlessly integrated with the most common math libraries, such as BLAS, LAPACK, FFTW, etc. With the help of these libraries, complex operations, such as matrix inversions or Fourier transformations, can be done on-the-fly, from SQL code, inside the database server process. We are currently testing the prototype with two different scientific data sets: The Indra cosmological simulation will use it to store particle and density data from N-body simulations, and the Milky Way Laboratory

  4. The Colour of Words.

    ERIC Educational Resources Information Center

    Farrar, Bernice Lever

    Students from the ages of 13 or 14 onward need to know the "colours of words" which can let them live fully in the rainbow of life, thus eliminating student fears associated with written language and of being pawns of those who have the power of words, especially written words. Colour coding the eight basic types of work that words can…

  5. Newspaper Design: Desktop Newspaper Design Can Make Staffs Throw Their Hands Up, Give Them the Hands-Down Edge.

    ERIC Educational Resources Information Center

    King, Marianne

    1988-01-01

    Discusses the advantages and disadvantages of using an Apple Macintosh in a high school journalism department. Details the software available in the categories of layout ("Xpress" and "Pagemaker"), word processing ("Microsoft Word"), and graphics ("MacDraw,""Cricket Draw,""MacPaint," and…

  6. Estimation of pharmacokinetic parameters from non-compartmental variables using Microsoft Excel.

    PubMed

    Dansirikul, Chantaratsamon; Choi, Malcolm; Duffull, Stephen B

    2005-06-01

    This study was conducted to develop a method, termed 'back analysis (BA)', for converting non-compartmental variables to compartment model dependent pharmacokinetic parameters for both one- and two-compartment models. A Microsoft Excel spreadsheet was implemented with the use of Solver and visual basic functions. The performance of the BA method in estimating pharmacokinetic parameter values was evaluated by comparing the parameter values obtained to a standard modelling software program, NONMEM, using simulated data. The results show that the BA method was reasonably precise and provided low bias in estimating fixed and random effect parameters for both one- and two-compartment models. The pharmacokinetic parameters estimated from the BA method were similar to those of NONMEM estimation.

  7. Documentos de consulta para iniciar la reforma educativa (Preparatory documents on educational reform).

    ERIC Educational Resources Information Center

    Consejo Nacional Tecnico de la Educacion (Mexico).

    This document is an English-language abstract (approximately 1,500 words) of two booklets on Mexican educational reform. The first booklet cites the parts of the Mexican Constitution dealing with education, the legal foundation of Mexican education, stipulating that it shall be universal, democratic, national, compulsory, free and immune from…

  8. Spotting handwritten words and REGEX using a two stage BLSTM-HMM architecture

    NASA Astrophysics Data System (ADS)

    Bideault, Gautier; Mioulet, Luc; Chatelain, Clément; Paquet, Thierry

    2015-01-01

    In this article, we propose a hybrid model for spotting words and regular expressions (REGEX) in handwritten documents. The model is made of the state-of-the-art BLSTM (Bidirectional Long Short Time Memory) neural network for recognizing and segmenting characters, coupled with a HMM to build line models able to spot the desired sequences. Experiments on the Rimes database show very promising results.

  9. The Effect of Colour-Word Interference on Children's Memory for Words.

    ERIC Educational Resources Information Center

    Malliet, Gineva M.

    The Stroop color-word test involves a conflict situation in which subjects are asked to say aloud the ink color used to print a color word on a card. Interference occurs when the ink color is in conflict with the color word, such as 'red' printed in green ink. On the other hand, little interference occurs when asked to name the color words…

  10. Single-Word Recognition Need Not Depend on Single-Word Features: Narrative Coherence Counteracts Effects of Single-Word Features That Lexical Decision Emphasizes

    ERIC Educational Resources Information Center

    Teng, Dan W.; Wallot, Sebastian; Kelty-Stephen, Damian G.

    2016-01-01

    Research on reading comprehension of connected text emphasizes reliance on single-word features that organize a stable, mental lexicon of words and that speed or slow the recognition of each new word. However, the time needed to recognize a word might not actually be as fixed as previous research indicates, and the stability of the mental lexicon…

  11. Fast and accurate phylogeny reconstruction using filtered spaced-word matches

    PubMed Central

    Sohrabi-Jahromi, Salma; Morgenstern, Burkhard

    2017-01-01

    Abstract Motivation: Word-based or ‘alignment-free’ algorithms are increasingly used for phylogeny reconstruction and genome comparison, since they are much faster than traditional approaches that are based on full sequence alignments. Existing alignment-free programs, however, are less accurate than alignment-based methods. Results: We propose Filtered Spaced Word Matches (FSWM), a fast alignment-free approach to estimate phylogenetic distances between large genomic sequences. For a pre-defined binary pattern of match and don’t-care positions, FSWM rapidly identifies spaced word-matches between input sequences, i.e. gap-free local alignments with matching nucleotides at the match positions and with mismatches allowed at the don’t-care positions. We then estimate the number of nucleotide substitutions per site by considering the nucleotides aligned at the don’t-care positions of the identified spaced-word matches. To reduce the noise from spurious random matches, we use a filtering procedure where we discard all spaced-word matches for which the overall similarity between the aligned segments is below a threshold. We show that our approach can accurately estimate substitution frequencies even for distantly related sequences that cannot be analyzed with existing alignment-free methods; phylogenetic trees constructed with FSWM distances are of high quality. A program run on a pair of eukaryotic genomes of a few hundred Mb each takes a few minutes. Availability and Implementation: The program source code for FSWM including a documentation, as well as the software that we used to generate artificial genome sequences are freely available at http://fswm.gobics.de/ Contact: chris.leimeister@stud.uni-goettingen.de Supplementary information: Supplementary data are available at Bioinformatics online. PMID:28073754

  12. Fast and accurate phylogeny reconstruction using filtered spaced-word matches.

    PubMed

    Leimeister, Chris-André; Sohrabi-Jahromi, Salma; Morgenstern, Burkhard

    2017-04-01

    Word-based or 'alignment-free' algorithms are increasingly used for phylogeny reconstruction and genome comparison, since they are much faster than traditional approaches that are based on full sequence alignments. Existing alignment-free programs, however, are less accurate than alignment-based methods. We propose Filtered Spaced Word Matches (FSWM) , a fast alignment-free approach to estimate phylogenetic distances between large genomic sequences. For a pre-defined binary pattern of match and don't-care positions, FSWM rapidly identifies spaced word-matches between input sequences, i.e. gap-free local alignments with matching nucleotides at the match positions and with mismatches allowed at the don't-care positions. We then estimate the number of nucleotide substitutions per site by considering the nucleotides aligned at the don't-care positions of the identified spaced-word matches. To reduce the noise from spurious random matches, we use a filtering procedure where we discard all spaced-word matches for which the overall similarity between the aligned segments is below a threshold. We show that our approach can accurately estimate substitution frequencies even for distantly related sequences that cannot be analyzed with existing alignment-free methods; phylogenetic trees constructed with FSWM distances are of high quality. A program run on a pair of eukaryotic genomes of a few hundred Mb each takes a few minutes. The program source code for FSWM including a documentation, as well as the software that we used to generate artificial genome sequences are freely available at http://fswm.gobics.de/. chris.leimeister@stud.uni-goettingen.de. Supplementary data are available at Bioinformatics online. © The Author 2017. Published by Oxford University Press.

  13. Employing Microsoft Live@edu Cloud Platform to Assist in Teaching Chinese Reading for Junior High School Students

    ERIC Educational Resources Information Center

    Shih, Ru-Chu; Cho, Chia-Liang; Tsai, Chih-Cheng; Lou, Shi-Jer

    2013-01-01

    This study aimed to investigate junior high school students' learning attitudes and learning effectiveness through administering Microsoft Live@edu to assist in teaching Chinese reading. Quasi-experimental approach was used and a total of 63 eighth grade students were divided into the experimental group (N = 32) and control group (N = 31).…

  14. Detecting Key Inter-Joint Distances and Anthropometry Effects for Static Gesture Development using Microsoft Kinect

    DTIC Science & Technology

    2013-09-01

    DATES COVERED (From - To) 1 Sep 2013–30 Sep 2013 4 . TITLE AND SUBTITLE Detecting Key Inter-Joint Distances and Anthropometry Effects for Static Gesture...13. SUPPLEMENTARY NOTES “Nintendo Wii” is a registered trademark of Nintendo Company, Ltd. “ PlayStation ” is a registered trademark of Sony...Computer Entertainment; PlayStation “Move” ® (Sony Computer Entertainment). “Kinect” is a registered trademark of Microsoft Corporation. Merriam-Webster

  15. Implementation of a cloud-based electronic medical record exchange system in compliance with the integrating healthcare enterprise's cross-enterprise document sharing integration profile.

    PubMed

    Wu, Chien Hua; Chiu, Ruey Kei; Yeh, Hong Mo; Wang, Da Wei

    2017-11-01

    In 2011, the Ministry of Health and Welfare of Taiwan established the National Electronic Medical Record Exchange Center (EEC) to permit the sharing of medical resources among hospitals. This system can presently exchange electronic medical records (EMRs) among hospitals, in the form of medical imaging reports, laboratory test reports, discharge summaries, outpatient records, and outpatient medication records. Hospitals can send or retrieve EMRs over the virtual private network by connecting to the EEC through a gateway. International standards should be adopted in the EEC to allow users with those standards to take advantage of this exchange service. In this study, a cloud-based EMR-exchange prototyping system was implemented on the basis of the Integrating the Healthcare Enterprise's Cross-Enterprise Document Sharing integration profile and the existing EMR exchange system. RESTful services were used to implement the proposed prototyping system on the Microsoft Azure cloud-computing platform. Four scenarios were created in Microsoft Azure to determine the feasibility and effectiveness of the proposed system. The experimental results demonstrated that the proposed system successfully completed EMR exchange under the four scenarios created in Microsoft Azure. Additional experiments were conducted to compare the efficiency of the EMR-exchanging mechanisms of the proposed system with those of the existing EEC system. The experimental results suggest that the proposed RESTful service approach is superior to the Simple Object Access Protocol method currently implemented in the EEC system, according to the irrespective response times under the four experimental scenarios. Copyright © 2017 Elsevier B.V. All rights reserved.

  16. Using complex networks for text classification: Discriminating informative and imaginative documents

    NASA Astrophysics Data System (ADS)

    de Arruda, Henrique F.; Costa, Luciano da F.; Amancio, Diego R.

    2016-01-01

    Statistical methods have been widely employed in recent years to grasp many language properties. The application of such techniques have allowed an improvement of several linguistic applications, such as machine translation and document classification. In the latter, many approaches have emphasised the semantical content of texts, as is the case of bag-of-word language models. These approaches have certainly yielded reasonable performance. However, some potential features such as the structural organization of texts have been used only in a few studies. In this context, we probe how features derived from textual structure analysis can be effectively employed in a classification task. More specifically, we performed a supervised classification aiming at discriminating informative from imaginative documents. Using a networked model that describes the local topological/dynamical properties of function words, we achieved an accuracy rate of up to 95%, which is much higher than similar networked approaches. A systematic analysis of feature relevance revealed that symmetry and accessibility measurements are among the most prominent network measurements. Our results suggest that these measurements could be used in related language applications, as they play a complementary role in characterising texts.

  17. Reading skill and word skipping: Implications for visual and linguistic accounts of word skipping.

    PubMed

    Eskenazi, Michael A; Folk, Jocelyn R

    2015-11-01

    We investigated whether high-skill readers skip more words than low-skill readers as a result of parafoveal processing differences based on reading skill. We manipulated foveal load and word length, two variables that strongly influence word skipping, and measured reading skill using the Nelson-Denny Reading Test. We found that reading skill did not influence the probability of skipping five-letter words, but low-skill readers were less likely to skip three-letter words when foveal load was high. Thus, reading skill is likely to influence word skipping when the amount of information in the parafovea falls within the word identification span. We interpret the data in the context of visual-based (extended optimal viewing position model) and linguistic based (E-Z Reader model) accounts of word skipping. The models make different predictions about how and why a word and skipped; however, the data indicate that both models should take into account the fact that different factors influence skipping rates for high- and low-skill readers. (c) 2015 APA, all rights reserved).

  18. Emotion Words: Adding Face Value.

    PubMed

    Fugate, Jennifer M B; Gendron, Maria; Nakashima, Satoshi F; Barrett, Lisa Feldman

    2017-06-12

    Despite a growing number of studies suggesting that emotion words affect perceptual judgments of emotional stimuli, little is known about how emotion words affect perceptual memory for emotional faces. In Experiments 1 and 2 we tested how emotion words (compared with control words) affected participants' abilities to select a target emotional face from among distractor faces. Participants were generally more likely to false alarm to distractor emotional faces when primed with an emotion word congruent with the face (compared with a control word). Moreover, participants showed both decreased sensitivity (d') to discriminate between target and distractor faces, as well as altered response biases (c; more likely to answer "yes") when primed with an emotion word (compared with a control word). In Experiment 3 we showed that emotion words had more of an effect on perceptual memory judgments when the structural information in the target face was limited, as well as when participants were only able to categorize the face with a partially congruent emotion word. The overall results are consistent with the idea that emotion words affect the encoding of emotional faces in perceptual memory. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  19. Teachers, Children and the Magical Writing Machine: Instructional Contexts for Word Processing with Learning Disabled Children. Final Report, and "I Know What to Say!" Writing Activities for the Magical Machine.

    ERIC Educational Resources Information Center

    Morocco, Catherine Cobb; And Others

    The 2-year study investigated the use of word processing technology with 36 learning disabled (LD) intermediate grade children and 9 remedial teachers in five Massachusetts school districts. During the first year study staff documented how word processing was being used. In the second year, word processing activities hypothesized to be the most…

  20. Word length, set size, and lexical factors: Re-examining what causes the word length effect.

    PubMed

    Guitard, Dominic; Gabel, Andrew J; Saint-Aubin, Jean; Surprenant, Aimée M; Neath, Ian

    2018-04-19

    The word length effect, better recall of lists of short (fewer syllables) than long (more syllables) words has been termed a benchmark effect of working memory. Despite this, experiments on the word length effect can yield quite different results depending on set size and stimulus properties. Seven experiments are reported that address these 2 issues. Experiment 1 replicated the finding of a preserved word length effect under concurrent articulation for large stimulus sets, which contrasts with the abolition of the word length effect by concurrent articulation for small stimulus sets. Experiment 2, however, demonstrated that when the short and long words are equated on more dimensions, concurrent articulation abolishes the word length effect for large stimulus sets. Experiment 3 shows a standard word length effect when output time is equated, but Experiments 4-6 show no word length effect when short and long words are equated on increasingly more dimensions that previous demonstrations have overlooked. Finally, Experiment 7 compared recall of a small and large neighborhood words that were equated on all the dimensions used in Experiment 6 (except for those directly related to neighborhood size) and a neighborhood size effect was still observed. We conclude that lexical factors, rather than word length per se, are better predictors of when the word length effect will occur. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

  1. Facilitatory Effects of Multi-Word Units in Lexical Processing and Word Learning: A Computational Investigation.

    PubMed

    Grimm, Robert; Cassani, Giovanni; Gillis, Steven; Daelemans, Walter

    2017-01-01

    Previous studies have suggested that children and adults form cognitive representations of co-occurring word sequences. We propose (1) that the formation of such multi-word unit (MWU) representations precedes and facilitates the formation of single-word representations in children and thus benefits word learning, and (2) that MWU representations facilitate adult word recognition and thus benefit lexical processing. Using a modified version of an existing computational model (McCauley and Christiansen, 2014), we extract MWUs from a corpus of child-directed speech (CDS) and a corpus of conversations among adults. We then correlate the number of MWUs within which each word appears with (1) age of first production and (2) adult reaction times on a word recognition task. In doing so, we take care to control for the effect of word frequency, as frequent words will naturally tend to occur in many MWUs. We also compare results to a baseline model which randomly groups words into sequences-and find that MWUs have a unique facilitatory effect on both response variables, suggesting that they benefit word learning in children and word recognition in adults. The effect is strongest on age of first production, implying that MWUs are comparatively more important for word learning than for adult lexical processing. We discuss possible underlying mechanisms and formulate testable predictions.

  2. Facilitatory Effects of Multi-Word Units in Lexical Processing and Word Learning: A Computational Investigation

    PubMed Central

    Grimm, Robert; Cassani, Giovanni; Gillis, Steven; Daelemans, Walter

    2017-01-01

    Previous studies have suggested that children and adults form cognitive representations of co-occurring word sequences. We propose (1) that the formation of such multi-word unit (MWU) representations precedes and facilitates the formation of single-word representations in children and thus benefits word learning, and (2) that MWU representations facilitate adult word recognition and thus benefit lexical processing. Using a modified version of an existing computational model (McCauley and Christiansen, 2014), we extract MWUs from a corpus of child-directed speech (CDS) and a corpus of conversations among adults. We then correlate the number of MWUs within which each word appears with (1) age of first production and (2) adult reaction times on a word recognition task. In doing so, we take care to control for the effect of word frequency, as frequent words will naturally tend to occur in many MWUs. We also compare results to a baseline model which randomly groups words into sequences—and find that MWUs have a unique facilitatory effect on both response variables, suggesting that they benefit word learning in children and word recognition in adults. The effect is strongest on age of first production, implying that MWUs are comparatively more important for word learning than for adult lexical processing. We discuss possible underlying mechanisms and formulate testable predictions. PMID:28450842

  3. Genes2WordCloud: a quick way to identify biological themes from gene lists and free text

    PubMed Central

    2011-01-01

    Background Word-clouds recently emerged on the web as a solution for quickly summarizing text by maximizing the display of most relevant terms about a specific topic in the minimum amount of space. As biologists are faced with the daunting amount of new research data commonly presented in textual formats, word-clouds can be used to summarize and represent biological and/or biomedical content for various applications. Results Genes2WordCloud is a web application that enables users to quickly identify biological themes from gene lists and research relevant text by constructing and displaying word-clouds. It provides users with several different options and ideas for the sources that can be used to generate a word-cloud. Different options for rendering and coloring the word-clouds give users the flexibility to quickly generate customized word-clouds of their choice. Methods Genes2WordCloud is a word-cloud generator and a word-cloud viewer that is based on WordCram implemented using Java, Processing, AJAX, mySQL, and PHP. Text is fetched from several sources and then processed to extract the most relevant terms with their computed weights based on word frequencies. Genes2WordCloud is freely available for use online; it is open source software and is available for installation on any web-site along with supporting documentation at http://www.maayanlab.net/G2W. Conclusions Genes2WordCloud provides a useful way to summarize and visualize large amounts of textual biological data or to find biological themes from several different sources. The open source availability of the software enables users to implement customized word-clouds on their own web-sites and desktop applications. PMID:21995939

  4. Promoting Word Consciousness to Close the Vocabulary Gap in Young Word Learners

    ERIC Educational Resources Information Center

    Neugebauer, Sabina Rak; Gámez, Perla B.; Coyne, Michael D.; McCoach, D. Betsy; Cólon, Ingrid T.; Ware, Sharon

    2017-01-01

    A proposed avenue for increasing students' vocabulary knowledge and reading comprehension is instruction that promotes students' enthusiasm and attention to words, referred to as "word consciousness". This study seeks to investigate, at the utterance level, whether and how word consciousness talk is used in classrooms with young word…

  5. Human Rights Texts: Converting Human Rights Primary Source Documents into Data.

    PubMed

    Fariss, Christopher J; Linder, Fridolin J; Jones, Zachary M; Crabtree, Charles D; Biek, Megan A; Ross, Ana-Sophia M; Kaur, Taranamol; Tsai, Michael

    2015-01-01

    We introduce and make publicly available a large corpus of digitized primary source human rights documents which are published annually by monitoring agencies that include Amnesty International, Human Rights Watch, the Lawyers Committee for Human Rights, and the United States Department of State. In addition to the digitized text, we also make available and describe document-term matrices, which are datasets that systematically organize the word counts from each unique document by each unique term within the corpus of human rights documents. To contextualize the importance of this corpus, we describe the development of coding procedures in the human rights community and several existing categorical indicators that have been created by human coding of the human rights documents contained in the corpus. We then discuss how the new human rights corpus and the existing human rights datasets can be used with a variety of statistical analyses and machine learning algorithms to help scholars understand how human rights practices and reporting have evolved over time. We close with a discussion of our plans for dataset maintenance, updating, and availability.

  6. Human Rights Texts: Converting Human Rights Primary Source Documents into Data

    PubMed Central

    Fariss, Christopher J.; Linder, Fridolin J.; Jones, Zachary M.; Crabtree, Charles D.; Biek, Megan A.; Ross, Ana-Sophia M.; Kaur, Taranamol; Tsai, Michael

    2015-01-01

    We introduce and make publicly available a large corpus of digitized primary source human rights documents which are published annually by monitoring agencies that include Amnesty International, Human Rights Watch, the Lawyers Committee for Human Rights, and the United States Department of State. In addition to the digitized text, we also make available and describe document-term matrices, which are datasets that systematically organize the word counts from each unique document by each unique term within the corpus of human rights documents. To contextualize the importance of this corpus, we describe the development of coding procedures in the human rights community and several existing categorical indicators that have been created by human coding of the human rights documents contained in the corpus. We then discuss how the new human rights corpus and the existing human rights datasets can be used with a variety of statistical analyses and machine learning algorithms to help scholars understand how human rights practices and reporting have evolved over time. We close with a discussion of our plans for dataset maintenance, updating, and availability. PMID:26418817

  7. Reassessing word frequency as a determinant of word recognition for skilled and unskilled readers

    PubMed Central

    Kuperman, Victor; Van Dyke, Julie A.

    2013-01-01

    The importance of vocabulary in reading comprehension emphasizes the need to accurately assess an individual’s familiarity with words. The present article highlights problems with using occurrence counts in corpora as an index of word familiarity, especially when studying individuals varying in reading experience. We demonstrate via computational simulations and norming studies that corpus-based word frequencies systematically overestimate strengths of word representations, especially in the low-frequency range and in smaller-size vocabularies. Experience-driven differences in word familiarity prove to be faithfully captured by the subjective frequency ratings collected from responders at different experience levels. When matched on those levels, this lexical measure explains more variance than corpus-based frequencies in eye-movement and lexical decision latencies to English words, attested in populations with varied reading experience and skill. Furthermore, the use of subjective frequencies removes the widely reported (corpus) frequency-by-skill interaction, showing that more skilled readers are equally faster in processing any word than the less skilled readers, not disproportionally faster in processing lower-frequency words. This finding challenges the view that the more skilled an individual is in generic mechanisms of word processing the less reliant he/she will be on the actual lexical characteristics of that word. PMID:23339352

  8. An Action-Based Fine-Grained Access Control Mechanism for Structured Documents and Its Application

    PubMed Central

    Su, Mang; Li, Fenghua; Tang, Zhi; Yu, Yinyan; Zhou, Bo

    2014-01-01

    This paper presents an action-based fine-grained access control mechanism for structured documents. Firstly, we define a describing model for structured documents and analyze the application scenarios. The describing model could support the permission management on chapters, pages, sections, words, and pictures of structured documents. Secondly, based on the action-based access control (ABAC) model, we propose a fine-grained control protocol for structured documents by introducing temporal state and environmental state. The protocol covering different stages from document creation, to permission specification and usage control are given by using the Z-notation. Finally, we give the implementation of our mechanism and make the comparisons between the existing methods and our mechanism. The result shows that our mechanism could provide the better solution of fine-grained access control for structured documents in complicated networks. Moreover, it is more flexible and practical. PMID:25136651

  9. Parafoveal load of word N+1 modulates preprocessing effectiveness of word N+2 in Chinese reading.

    PubMed

    Yan, Ming; Kliegl, Reinhold; Shu, Hua; Pan, Jinger; Zhou, Xiaolin

    2010-12-01

    Preview benefits (PBs) from two words to the right of the fixated one (i.e., word N + 2) and associated parafoveal-on-foveal effects are critical for proposals of distributed lexical processing during reading. This experiment examined parafoveal processing during reading of Chinese sentences, using a boundary manipulation of N + 2-word preview with low- and high-frequency words N + 1. The main findings were (a) an identity PB for word N + 2 that was (b) primarily observed when word N + 1 was of high frequency (i.e., an interaction between frequency of word N + 1 and PB for word N + 2), and (c) a parafoveal-on-foveal frequency effect of word N + 1 for fixation durations on word N. We discuss implications for theories of serial attention shifts and parallel distributed processing of words during reading.

  10. L2 Word Recognition: Influence of L1 Orthography on Multi-syllabic Word Recognition.

    PubMed

    Hamada, Megumi

    2017-10-01

    L2 reading research suggests that L1 orthographic experience influences L2 word recognition. Nevertheless, the findings on multi-syllabic words in English are still limited despite the fact that a vast majority of words are multi-syllabic. The study investigated whether L1 orthography influences the recognition of multi-syllabic words, focusing on the position of an embedded word. The participants were Arabic ESL learners, Chinese ESL learners, and native speakers of English. The task was a word search task, in which the participants identified a target word embedded in a pseudoword at the initial, middle, or final position. The search accuracy and speed indicated that all groups showed a strong preference for the initial position. The accuracy data further indicated group differences. The Arabic group showed higher accuracy in the final than middle, while the Chinese group showed the opposite and the native speakers showed no difference between the two positions. The findings suggest that L2 multi-syllabic word recognition involves unique processes.

  11. Diverging receptive and expressive word processing mechanisms in a deep dyslexic reader.

    PubMed

    Ablinger, Irene; Radach, Ralph

    2016-01-29

    We report on KJ, a patient with acquired dyslexia due to cerebral artery infarction. He represents an unusually clear case of an "output" deep dyslexic reader, with a distinct pattern of pure semantic reading. According to current neuropsychological models of reading, the severity of this condition is directly related to the degree of impairment in semantic and phonological representations and the resulting imbalance in the interaction between the two word processing pathways. The present work sought to examine whether an innovative eye movement supported intervention combining lexical and segmental therapy would strengthen phonological processing and lead to an attenuation of the extreme semantic over-involvement in KJ's word identification process. Reading performance was assessed before (T1) between (T2) and after (T3) therapy using both analyses of linguistic errors and word viewing patterns. Therapy resulted in improved reading aloud accuracy along with a change in error distribution that suggested a return to more sequential reading. Interestingly, this was in contrast to the dynamics of moment-to-moment word processing, as eye movement analyses still suggested a predominantly holistic strategy, even at T3. So, in addition to documenting the success of the therapeutic intervention, our results call for a theoretically important conclusion: Real-time letter and word recognition routines should be considered separately from properties of the verbal output. Combining both perspectives may provide a promising strategy for future assessment and therapy evaluation. Copyright © 2015. Published by Elsevier Ltd.

  12. Can multilinguality improve Biomedical Word Sense Disambiguation?

    PubMed

    Duque, Andres; Martinez-Romo, Juan; Araujo, Lourdes

    2016-12-01

    Ambiguity in the biomedical domain represents a major issue when performing Natural Language Processing tasks over the huge amount of available information in the field. For this reason, Word Sense Disambiguation is critical for achieving accurate systems able to tackle complex tasks such as information extraction, summarization or document classification. In this work we explore whether multilinguality can help to solve the problem of ambiguity, and the conditions required for a system to improve the results obtained by monolingual approaches. Also, we analyze the best ways to generate those useful multilingual resources, and study different languages and sources of knowledge. The proposed system, based on co-occurrence graphs containing biomedical concepts and textual information, is evaluated on a test dataset frequently used in biomedicine. We can conclude that multilingual resources are able to provide a clear improvement of more than 7% compared to monolingual approaches, for graphs built from a small number of documents. Also, empirical results show that automatically translated resources are a useful source of information for this particular task. Copyright © 2016 Elsevier Inc. All rights reserved.

  13. Estimating the Dead Space Volume Between a Headform and N95 Filtering Facepiece Respirator Using Microsoft Kinect.

    PubMed

    Xu, Ming; Lei, Zhipeng; Yang, James

    2015-01-01

    N95 filtering facepiece respirator (FFR) dead space is an important factor for respirator design. The dead space refers to the cavity between the internal surface of the FFR and the wearer's facial surface. This article presents a novel method to estimate the dead space volume of FFRs and experimental validation. In this study, six FFRs and five headforms (small, medium, large, long/narrow, and short/wide) are used for various FFR and headform combinations. Microsoft Kinect Sensors (Microsoft Corporation, Redmond, WA) are used to scan the headforms without respirators and then scan the headforms with the FFRs donned. The FFR dead space is formed through geometric modeling software, and finally the volume is obtained through LS-DYNA (Livermore Software Technology Corporation, Livermore, CA). In the experimental validation, water is used to measure the dead space. The simulation and experimental dead space volumes are 107.5-167.5 mL and 98.4-165.7 mL, respectively. Linear regression analysis is conducted to correlate the results from Kinect and water, and R(2) = 0.85.

  14. Hologram stability evaluation for Microsoft HoloLens

    NASA Astrophysics Data System (ADS)

    Vassallo, Reid; Rankin, Adam; Chen, Elvis C. S.; Peters, Terry M.

    2017-03-01

    Augmented reality (AR) has an increasing presence in the world of image-guided interventions which is amplified by the availability of consumer-grade head-mounted display (HMD) technology. The Microsoft® HoloLensTM optical passthrough device is at the forefront of consumer technology, as it is the first un-tethered head mounted computer (HMC). It shows promise of effectiveness in guiding clinical interventions, however its accuracy and stability must still be evaluated for the clinical environment. We have developed an evaluative protocol for the HoloLensTM using an optical measurement device to digitize the perceived pose of the rendered hologram. This evaluates the ability of the HoloLensTM to maintain the hologram in its intended pose. The stability is measured when actions are performed that may cause a shift in the holograms' pose due to errors in its simultaneous localization and mapping. An emphasis is placed on actions that are more likely to be performed in a clinical setting. This will be used to determine the most applicable use cases for this technology in the future and how to minimize errors when in use. Our results show promise of this device's potential for intraoperative clinical use. Further analysis must be performed to evaluate other potential sources of hologram disruption.

  15. Interfering Neighbours: The Impact of Novel Word Learning on the Identification of Visually Similar Words

    ERIC Educational Resources Information Center

    Bowers, Jeffrey S.; Davis, Colin J.; Hanley, Derek A.

    2005-01-01

    We assessed the impact of visual similarity on written word identification by having participants learn new words (e.g. BANARA) that were neighbours of familiar words that previously had no neighbours (e.g. BANANA). Repeated exposure to these new words made it more difficult to semantically categorize the familiar words. There was some evidence of…

  16. Clusters of Word Properties as Predictors of Elementary School Children's Performance on Two Word Tasks

    ERIC Educational Resources Information Center

    Tellings, Agnes; Coppens, Karien; Gelissen, John; Schreuder, Rob

    2013-01-01

    Often, the classification of words does not go beyond "difficult" (i.e., infrequent, late-learned, nonimageable, etc.) or "easy" (i.e., frequent, early-learned, imageable, etc.) words. In the present study, we used a latent cluster analysis to divide 703 Dutch words with scores for eight word properties into seven clusters of words. Each cluster…

  17. Functional Specificity of the Visual Word Form Area: General Activation for Words and Symbols but Specific Network Activation for Words

    ERIC Educational Resources Information Center

    Reinke, Karen; Fernandes, Myra; Schwindt, Graeme; O'Craven, Kathleen; Grady, Cheryl L.

    2008-01-01

    The functional specificity of the brain region known as the Visual Word Form Area (VWFA) was examined using fMRI. We explored whether this area serves a general role in processing symbolic stimuli, rather than being selective for the processing of words. Brain activity was measured during a visual 1-back task to English words, meaningful symbols…

  18. Attention and Gaze Control in Picture Naming, Word Reading, and Word Categorizing

    ERIC Educational Resources Information Center

    Roelofs, Ardi

    2007-01-01

    The trigger for shifting gaze between stimuli requiring vocal and manual responses was examined. Participants were presented with picture-word stimuli and left- or right-pointing arrows. They vocally named the picture (Experiment 1), read the word (Experiment 2), or categorized the word (Experiment 3) and shifted their gaze to the arrow to…

  19. Enhanced computer vision with Microsoft Kinect sensor: a review.

    PubMed

    Han, Jungong; Shao, Ling; Xu, Dong; Shotton, Jamie

    2013-10-01

    With the invention of the low-cost Microsoft Kinect sensor, high-resolution depth and visual (RGB) sensing has become available for widespread use. The complementary nature of the depth and visual information provided by the Kinect sensor opens up new opportunities to solve fundamental problems in computer vision. This paper presents a comprehensive review of recent Kinect-based computer vision algorithms and applications. The reviewed approaches are classified according to the type of vision problems that can be addressed or enhanced by means of the Kinect sensor. The covered topics include preprocessing, object tracking and recognition, human activity analysis, hand gesture analysis, and indoor 3-D mapping. For each category of methods, we outline their main algorithmic contributions and summarize their advantages/differences compared to their RGB counterparts. Finally, we give an overview of the challenges in this field and future research trends. This paper is expected to serve as a tutorial and source of references for Kinect-based computer vision researchers.

  20. Emotional arousal enhances word repetition priming

    PubMed Central

    Thomas, Laura A.; LaBar, Kevin S.

    2012-01-01

    Three experiments were conducted to determine if emotional content increases repetition priming magnitude. In the study phase of Experiment 1, participants rated high-arousing negative (taboo) words and neutral words for concreteness. In the test phase, they made lexical decision judgements for the studied words intermixed with novel words (half taboo, half neutral) and pseudowords. In Experiment 2, low-arousing negative (LAN) words were substituted for the taboo words, and in Experiment 3 all three word types were used. Results showed significant priming in all experiments, as indicated by faster reaction times for studied words than for novel words. A priming × emotion interaction was found in Experiments 1 and 3, with greater priming for taboo relative to neutral words. The LAN words in Experiments 2 and 3 showed no difference in priming magnitude relative to the other word types. These results show selective enhancement of word repetition priming by emotional arousal. PMID:26321783

  1. U.S. Geological Survey and Microsoft Cooperative Research and Development Agreement: Geospatial Data Browsing and Retrieval Site on the World Wide Web

    USGS Publications Warehouse

    ,

    1999-01-01

    In May 1997, the U.S. Geological Survey (USGS) and the Microsoft Corporation of Redmond, Wash., entered into a cooperative research and development agreement (CRADA) to make vast amounts of geospatial data available to the general public through the Internet. The CRADA is a 36-month joint effort to develop a general, public-oriented browsing and retrieval site for geospatial data on the Internet. Specifically, Microsoft plans to (1) modify a large volume of USGS geospatial data so the images can be displayed quickly and easily over the Internet, (2) implement an easy-to-use interface for low-speed connections, and (3) develop an Internet Web site capable of servicing millions of users per day.

  2. U.S. Geological Survey and Microsoft Cooperative Research and Development Agreement: Geospatial Data Browsing and Retrieval Site on the World Wide Web

    USGS Publications Warehouse

    ,

    1998-01-01

    In May 1997, the U.S. Geological Survey (USGS) and the Microsoft Corporation of Redmond, Wash., entered into a cooperative research and development agreement (CRADA) to make vast amounts of geospatial data available to the general public through the Internet. The CRADA is a 36-month joint effort to develop a general, public-oriented browsing and retrieval site for geospatial data on the Internet. Specifically, Microsoft plans to (1) modify a large volume of USGS geospatial data so the images can be displayed quickly and easily over the Internet, (2) implement an easy-to-use interface for low-speed connections, and (3) develop an Internet Web site capable of servicing millions of users per day.

  3. A Robust Function to Return the Cumulative Density of Non-Central F Distributions in Microsoft Office Excel

    ERIC Educational Resources Information Center

    Nelson, James Byron

    2016-01-01

    The manuscript presents a Visual Basic[superscript R] for Applications function that operates within Microsoft Office Excel[superscript R] to return the area below the curve for a given F within a specified non-central F distribution. The function will be of use to Excel users without programming experience wherever a non-central F distribution is…

  4. L2 Word Recognition: Influence of L1 Orthography on Multi-Syllabic Word Recognition

    ERIC Educational Resources Information Center

    Hamada, Megumi

    2017-01-01

    L2 reading research suggests that L1 orthographic experience influences L2 word recognition. Nevertheless, the findings on multi-syllabic words in English are still limited despite the fact that a vast majority of words are multi-syllabic. The study investigated whether L1 orthography influences the recognition of multi-syllabic words, focusing on…

  5. Non-Adjacent Consonant Sequence Patterns in English Target Words during the First-Word Period

    ERIC Educational Resources Information Center

    Aoyama, Katsura; Davis, Barbara L.

    2017-01-01

    The goal of this study was to investigate non-adjacent consonant sequence patterns in target words during the first-word period in infants learning American English. In the spontaneous speech of eighteen participants, target words with a Consonant-Vowel-Consonant (C[subscript 1]VC[subscript 2]) shape were analyzed. Target words were grouped into…

  6. A WordNet-Based Near-Synonyms and Similar-Looking Word Learning System

    ERIC Educational Resources Information Center

    Sun, Koun-Tem; Huang, Yueh-Min; Liu, Ming-Chi

    2011-01-01

    Near-Synonyms and Similar-Looking (NSSL) words can create confusion for English as Foreign Language Learners as a result of a type of lexical error that often occurs when they confuse similar-looking words that are near synonyms to have the same meaning. Particularly, this may occur if the similar-looking words have the same translated meaning.…

  7. Constraining Second Language Word Order Optionality: Scrambling in Advanced English?German and Japanese?German Interlanguage

    ERIC Educational Resources Information Center

    Hopp, Holger

    2005-01-01

    This study documents knowledge of UG-mediated aspects of optionality in word order in the second language (L2) German of advanced English and Japanese speakers (n = 39). A bimodal grammaticality judgement task, which controlled for context and intonation, was administered to probe judgements on a set of scrambling, topicalization and remnant…

  8. Intranet-based quality improvement documentation at the Veterans Affairs Maryland Health Care System.

    PubMed

    Borkowski, A; Lee, D H; Sydnor, D L; Johnson, R J; Rabinovitch, A; Moore, G W

    2001-01-01

    The Pathology and Laboratory Medicine Service of the Veterans Affairs Maryland Health Care System is inspected biannually by the College of American Pathologists (CAP). As of the year 2000, all documentation in the Anatomic Pathology Section is available to all staff through the VA Intranet. Signed, supporting paper documents are on file in the office of the department chair. For the year 2000 CAP inspection, inspectors conducted their document review by use of these Web-based documents, in which each CAP question had a hyperlink to the corresponding section of the procedure manual. Thus inspectors were able to locate the documents relevant to each question quickly and efficiently. The procedure manuals consist of 87 procedures for surgical pathology, 52 procedures for cytopathology, and 25 procedures for autopsy pathology. Each CAP question requiring documentation had from one to three hyperlinks to the corresponding section of the procedure manual. Intranet documentation allows for easier sharing among decentralized institutions and for centralized updates of the laboratory documentation. These documents can be upgraded to allow for multimedia presentations, including text search for key words, hyperlinks to other documents, and images, audio, and video. Use of Web-based documents can improve the efficiency of the inspection process.

  9. Effects of Word Recognition Training in a Picture-Word Interference Task: Automaticity vs. Speed.

    ERIC Educational Resources Information Center

    Ehri, Linnea C.

    First and second graders were taught to recognize a set of written words either more accurately or more rapidly. Both before and after word training, they named pictures printed with and without these words as distractors. Of interest was whether training would enhance or diminish the interference created by these words in the picture naming task.…

  10. Influence of Word Class Proportion on Cerebral Asymmetries for High- And Low-Imagery Words

    ERIC Educational Resources Information Center

    Chiarello, C.; Shears, C.; Liu, S.; Kacinik, N.A.

    2005-01-01

    It has been claimed that the typical RVF/LH advantage for word recognition is reduced or eliminated for imageable, as compared to nonimageable, nouns. To determine whether such word-class effects vary depending on the stimulus list context in which the words are presented, we varied the proportion of high- and low-image words presented in a…

  11. Software Reviews: Programs Worth a Second Look.

    ERIC Educational Resources Information Center

    Classroom Computer Learning, 1989

    1989-01-01

    Reviews three software programs: (1) "Microsoft Works 2.0": word processing, data processing, and telecommunications, grades 7 and up; (2) "AppleWorks GS": word processor, database, spreadsheet, graphics, and telecommunications, grades 3-12, Apple IIGS; (3) "Choices, Choices: On the Playground, Taking Responsibility":…

  12. Novel word acquisition in aphasia: Facing the word-referent ambiguity of natural language learning contexts.

    PubMed

    Peñaloza, Claudia; Mirman, Daniel; Tuomiranta, Leena; Benetello, Annalisa; Heikius, Ida-Maria; Järvinen, Sonja; Majos, Maria C; Cardona, Pedro; Juncadella, Montserrat; Laine, Matti; Martin, Nadine; Rodríguez-Fornells, Antoni

    2016-06-01

    Recent research suggests that some people with aphasia preserve some ability to learn novel words and to retain them in the long-term. However, this novel word learning ability has been studied only in the context of single word-picture pairings. We examined the ability of people with chronic aphasia to learn novel words using a paradigm that presents new word forms together with a limited set of different possible visual referents and requires the identification of the correct word-object associations on the basis of online feedback. We also studied the relationship between word learning ability and aphasia severity, word processing abilities, and verbal short-term memory (STM). We further examined the influence of gross lesion location on new word learning. The word learning task was first validated with a group of forty-five young adults. Fourteen participants with chronic aphasia were administered the task and underwent tests of immediate and long-term recognition memory at 1 week. Their performance was compared to that of a group of fourteen matched controls using growth curve analysis. The learning curve and recognition performance of the aphasia group was significantly below the matched control group, although above-chance recognition performance and case-by-case analyses indicated that some participants with aphasia had learned the correct word-referent mappings. Verbal STM but not word processing abilities predicted word learning ability after controlling for aphasia severity. Importantly, participants with lesions in the left frontal cortex performed significantly worse than participants with lesions that spared the left frontal region both during word learning and on the recognition tests. Our findings indicate that some people with aphasia can preserve the ability to learn a small novel lexicon in an ambiguous word-referent context. This learning and recognition memory ability was associated with verbal STM capacity, aphasia severity and the integrity

  13. Novel word acquisition in aphasia: Facing the word-referent ambiguity of natural language learning contexts

    PubMed Central

    Peñaloza, Claudia; Mirman, Daniel; Tuomiranta, Leena; Benetello, Annalisa; Heikius, Ida-Maria; Järvinen, Sonja; Majos, Maria C.; Cardona, Pedro; Juncadella, Montserrat; Laine, Matti; Martin, Nadine; Rodríguez-Fornells, Antoni

    2017-01-01

    Recent research suggests that some people with aphasia preserve some ability to learn novel words and to retain them in the long-term. However, this novel word learning ability has been studied only in the context of single word-picture pairings. We examined the ability of people with chronic aphasia to learn novel words using a paradigm that presents new word forms together with a limited set of different possible visual referents and requires the identification of the correct word-object associations on the basis of online feedback. We also studied the relationship between word learning ability and aphasia severity, word processing abilities, and verbal short-term memory (STM). We further examined the influence of gross lesion location on new word learning. The word learning task was first validated with a group of forty-five young adults. Fourteen participants with chronic aphasia were administered the task and underwent tests of immediate and long-term recognition memory at 1 week. Their performance was compared to that of a group of fourteen matched controls using growth curve analysis. The learning curve and recognition performance of the aphasia group was significantly below the matched control group, although above-chance recognition performance and case-by-case analyses indicated that some participants with aphasia had learned the correct word-referent mappings. Verbal STM but not word processing abilities predicted word learning ability after controlling for aphasia severity. Importantly, participants with lesions in the left frontal cortex performed significantly worse than participants with lesions that spared the left frontal region both during word learning and on the recognition tests. Our findings indicate that some people with aphasia can preserve the ability to learn a small novel lexicon in an ambiguous word-referent context. This learning and recognition memory ability was associated with verbal STM capacity, aphasia severity and the integrity

  14. The effect of background noise on the word activation process in nonnative spoken-word recognition.

    PubMed

    Scharenborg, Odette; Coumans, Juul M J; van Hout, Roeland

    2018-02-01

    This article investigates 2 questions: (1) does the presence of background noise lead to a differential increase in the number of simultaneously activated candidate words in native and nonnative listening? And (2) do individual differences in listeners' cognitive and linguistic abilities explain the differential effect of background noise on (non-)native speech recognition? English and Dutch students participated in an English word recognition experiment, in which either a word's onset or offset was masked by noise. The native listeners outperformed the nonnative listeners in all listening conditions. Importantly, however, the effect of noise on the multiple activation process was found to be remarkably similar in native and nonnative listening. The presence of noise increased the set of candidate words considered for recognition in both native and nonnative listening. The results indicate that the observed performance differences between the English and Dutch listeners should not be primarily attributed to a differential effect of noise, but rather to the difference between native and nonnative listening. Additional analyses showed that word-initial information was found to be more important than word-final information during spoken-word recognition. When word-initial information was no longer reliably available word recognition accuracy dropped and word frequency information could no longer be used suggesting that word frequency information is strongly tied to the onset of words and the earliest moments of lexical access. Proficiency and inhibition ability were found to influence nonnative spoken-word recognition in noise, with a higher proficiency in the nonnative language and worse inhibition ability leading to improved recognition performance. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

  15. A Microsoft-Excel-based tool for running and critically appraising network meta-analyses--an overview and application of NetMetaXL.

    PubMed

    Brown, Stephen; Hutton, Brian; Clifford, Tammy; Coyle, Doug; Grima, Daniel; Wells, George; Cameron, Chris

    2014-09-29

    The use of network meta-analysis has increased dramatically in recent years. WinBUGS, a freely available Bayesian software package, has been the most widely used software package to conduct network meta-analyses. However, the learning curve for WinBUGS can be daunting, especially for new users. Furthermore, critical appraisal of network meta-analyses conducted in WinBUGS can be challenging given its limited data manipulation capabilities and the fact that generation of graphical output from network meta-analyses often relies on different software packages than the analyses themselves. We developed a freely available Microsoft-Excel-based tool called NetMetaXL, programmed in Visual Basic for Applications, which provides an interface for conducting a Bayesian network meta-analysis using WinBUGS from within Microsoft Excel. . This tool allows the user to easily prepare and enter data, set model assumptions, and run the network meta-analysis, with results being automatically displayed in an Excel spreadsheet. It also contains macros that use NetMetaXL's interface to generate evidence network diagrams, forest plots, league tables of pairwise comparisons, probability plots (rankograms), and inconsistency plots within Microsoft Excel. All figures generated are publication quality, thereby increasing the efficiency of knowledge transfer and manuscript preparation. We demonstrate the application of NetMetaXL using data from a network meta-analysis published previously which compares combined resynchronization and implantable defibrillator therapy in left ventricular dysfunction. We replicate results from the previous publication while demonstrating result summaries generated by the software. Use of the freely available NetMetaXL successfully demonstrated its ability to make running network meta-analyses more accessible to novice WinBUGS users by allowing analyses to be conducted entirely within Microsoft Excel. NetMetaXL also allows for more efficient and transparent

  16. A Microsoft-Excel-based tool for running and critically appraising network meta-analyses—an overview and application of NetMetaXL

    PubMed Central

    2014-01-01

    Background The use of network meta-analysis has increased dramatically in recent years. WinBUGS, a freely available Bayesian software package, has been the most widely used software package to conduct network meta-analyses. However, the learning curve for WinBUGS can be daunting, especially for new users. Furthermore, critical appraisal of network meta-analyses conducted in WinBUGS can be challenging given its limited data manipulation capabilities and the fact that generation of graphical output from network meta-analyses often relies on different software packages than the analyses themselves. Methods We developed a freely available Microsoft-Excel-based tool called NetMetaXL, programmed in Visual Basic for Applications, which provides an interface for conducting a Bayesian network meta-analysis using WinBUGS from within Microsoft Excel. . This tool allows the user to easily prepare and enter data, set model assumptions, and run the network meta-analysis, with results being automatically displayed in an Excel spreadsheet. It also contains macros that use NetMetaXL’s interface to generate evidence network diagrams, forest plots, league tables of pairwise comparisons, probability plots (rankograms), and inconsistency plots within Microsoft Excel. All figures generated are publication quality, thereby increasing the efficiency of knowledge transfer and manuscript preparation. Results We demonstrate the application of NetMetaXL using data from a network meta-analysis published previously which compares combined resynchronization and implantable defibrillator therapy in left ventricular dysfunction. We replicate results from the previous publication while demonstrating result summaries generated by the software. Conclusions Use of the freely available NetMetaXL successfully demonstrated its ability to make running network meta-analyses more accessible to novice WinBUGS users by allowing analyses to be conducted entirely within Microsoft Excel. NetMetaXL also allows

  17. Effects of Grammatical Structure of Compound Words on Word Recognition in Chinese

    PubMed Central

    Cui, Lei; Cong, Fengjiao; Wang, Jue; Zhang, Wenxin; Zheng, Yuwei; Hyönä, Jukka

    2018-01-01

    Two lexical priming experiments were conducted to examine effects of grammatical structure of Chinese two-constituent compounds on their recognition. The target compound words conformed to two types of grammatical structure: subordinate and coordinative compounds. Subordinate compounds follow a structure where the first constituent modifies the second constituent (e.g., , meaning snowball); here the meaning of the second constituent (head) is modified by the first constituent (modifier). On the other hand, in coordinative compounds both constituents contribute equally to the word meaning (e.g., , wind and rain, meaning storm where the two constituent equally contribute to the word meaning). In Experiment 1 that was a replication attempt of Liu and McBride-Chang (2010), possible priming effects of word structure and semantic relatedness were examined. In lexical decision latencies only a semantic priming effect was observed. In Experiment 2, compound word structure and individual constituents were primed by the prime and target sharing either the first or second constituent. A structure priming effect was obtained in lexical decision times for subordinate compounds when the prime and target compound shared the same constituent. This suggests that a compound word constituent (either the modifier or the head) has to be simultaneously active with the structure information in order for the structure information to exert an effect on compound word recognition in Chinese. For the coordinative compounds the structure priming effect was non-significant. When the meaning of the whole word was primed (Experiment 1), no structure effect was observable. The pattern of results suggests that effects of structure priming are constituent-specific and no general structure priming was observable. PMID:29593594

  18. Word Production Deficits in Schizophrenia

    ERIC Educational Resources Information Center

    Marvel, Cherie L.; Schwartz, Barbara L.; Isaacs, Keren L.

    2004-01-01

    Fronto-cerebellar circuitry is implicated in word production. Data suggest that the cerebellum is involved in word "search," whereas the prefrontal cortex underlies the "selection" of words from among competing alternatives. We explored the role of search and selection processes in word production deficits in schizophrenia patients. In Experiment…

  19. Reduplication Facilitates Early Word Segmentation

    ERIC Educational Resources Information Center

    Ota, Mitsuhiko; Skarabela, Barbora

    2018-01-01

    This study explores the possibility that early word segmentation is aided by infants' tendency to segment words with repeated syllables ("reduplication"). Twenty-four nine-month-olds were familiarized with passages containing one novel reduplicated word and one novel non-reduplicated word. Their central fixation times in response to…

  20. Frequency Analysis of the Words in the Academic Word List (AWL) and Non-AWL Content Words in Applied Linguistics Research Papers

    ERIC Educational Resources Information Center

    Vongpumivitch, Viphavee; Huang, Ju-yu; Chang, Yu-Chia

    2009-01-01

    This study is a corpus-based lexical study that aims to explore the use of words in Coxhead's (2000) Academic Word List (AWL) in journal articles in the field of applied linguistics. A 1.5 million-word corpus called the Applied Linguistics Research Articles Corpus (ALC) was created for this study. The corpus consists of 200 research articles that…

  1. Hearing taboo words can result in early talker effects in word recognition for female listeners.

    PubMed

    Tuft, Samantha E; MᶜLennan, Conor T; Krestar, Maura L

    2018-02-01

    Previous spoken word recognition research using the long-term repetition-priming paradigm found performance costs for stimuli mismatching in talker identity. That is, when words were repeated across the two blocks, and the identity of the talker changed reaction times (RTs) were slower than when the repeated words were spoken by the same talker. Such performance costs, or talker effects, followed a time course, occurring only when processing was relatively slow. More recent research suggests that increased explicit and implicit attention towards the talkers can result in talker effects even during relatively fast processing. The purpose of the current study was to examine whether word meaning would influence the pattern of talker effects in an easy lexical decision task and, if so, whether results would differ depending on whether the presentation of neutral and taboo words was mixed or blocked. Regardless of presentation, participants responded to taboo words faster than neutral words. Furthermore, talker effects for the female talker emerged when participants heard both taboo and neutral words (consistent with an attention-based hypothesis), but not for participants that heard only taboo or only neutral words (consistent with the time-course hypothesis). These findings have important implications for theoretical models of spoken word recognition.

  2. Phonological-orthographic consistency for Japanese words and its impact on visual and auditory word recognition.

    PubMed

    Hino, Yasushi; Kusunose, Yuu; Miyamura, Shinobu; Lupker, Stephen J

    2017-01-01

    In most models of word processing, the degrees of consistency in the mappings between orthographic, phonological, and semantic representations are hypothesized to affect reading time. Following Hino, Miyamura, and Lupker's (2011) examination of the orthographic-phonological (O-P) and orthographic-semantic (O-S) consistency for 1,114 Japanese words (339 katakana and 775 kanji words), in the present research, we initially attempted to measure the phonological-orthographic (P-O) consistency for those same words. In contrast to the O-P and O-S consistencies, which were equivalent for kanji and katakana words, the P-O relationships were much more inconsistent for the kanji words than for the katakana words. The impact of kanji words' P-O consistency was then examined in both visual and auditory word recognition tasks. Although there was no effect of P-O consistency in the standard visual lexical-decision task, significant effects were detected in a lexical-decision task with auditory stimuli, in a perceptual identification task using masked visual stimuli, and in a lexical-decision task with degraded visual stimuli. The implications of these results are discussed in terms of the impact of P-O consistency in auditory and visual word recognition. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  3. The Browser War: An Ethical Analysis of the Struggle between Microsoft and the U.S. Department of Justice.

    ERIC Educational Resources Information Center

    Meier, Dennis

    1999-01-01

    Examines two ethical questions regarding the ongoing antitrust battle between the U.S. Department of Justice and Microsoft Corporation using traditional rights-based ethical theory, utilitarianism, and John Rawls's principles of justice. Concludes that it is neither good nor fair for a company having a near-monopoly over a market to sell products…

  4. Assessing the Readability of Medical Documents: A Ranking Approach.

    PubMed

    Zheng, Jiaping; Yu, Hong

    2018-03-23

    The use of electronic health record (EHR) systems with patient engagement capabilities, including viewing, downloading, and transmitting health information, has recently grown tremendously. However, using these resources to engage patients in managing their own health remains challenging due to the complex and technical nature of the EHR narratives. Our objective was to develop a machine learning-based system to assess readability levels of complex documents such as EHR notes. We collected difficulty ratings of EHR notes and Wikipedia articles using crowdsourcing from 90 readers. We built a supervised model to assess readability based on relative orders of text difficulty using both surface text features and word embeddings. We evaluated system performance using the Kendall coefficient of concordance against human ratings. Our system achieved significantly higher concordance (.734) with human annotators than did a baseline using the Flesch-Kincaid Grade Level, a widely adopted readability formula (.531). The improvement was also consistent across different disease topics. This method's concordance with an individual human user's ratings was also higher than the concordance between different human annotators (.658). We explored methods to automatically assess the readability levels of clinical narratives. Our ranking-based system using simple textual features and easy-to-learn word embeddings outperformed a widely used readability formula. Our ranking-based method can predict relative difficulties of medical documents. It is not constrained to a predefined set of readability levels, a common design in many machine learning-based systems. Furthermore, the feature set does not rely on complex processing of the documents. One potential application of our readability ranking is personalization, allowing patients to better accommodate their own background knowledge. ©Jiaping Zheng, Hong Yu. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 23.03.2018.

  5. Imaged document information location and extraction using an optical correlator

    NASA Astrophysics Data System (ADS)

    Stalcup, Bruce W.; Dennis, Phillip W.; Dydyk, Robert B.

    1999-12-01

    Today, the paper document is fast becoming a thing of the past. With the rapid development of fast, inexpensive computing and storage devices, many government and private organizations are archiving their documents in electronic form (e.g., personnel records, medical records, patents, etc.). Many of these organizations are converting their paper archives to electronic images, which are then stored in a computer database. Because of this, there is a need to efficiently organize this data into comprehensive and accessible information resources and provide for rapid access to the information contained within these imaged documents. To meet this need, Litton PRC and Litton Data Systems Division are developing a system, the Imaged Document Optical Correlation and Conversion System (IDOCCS), to provide a total solution to the problem of managing and retrieving textual and graphic information from imaged document archives. At the heart of IDOCCS, optical correlation technology provide a means for the search and retrieval of information from imaged documents. IDOCCS can be used to rapidly search for key words or phrases within the imaged document archives and has the potential to determine the types of languages contained within a document. In addition, IDOCCS can automatically compare an input document with the archived database to determine if it is a duplicate, thereby reducing the overall resources required to maintain and access the document database. Embedded graphics on imaged pages can also be exploited, e.g., imaged documents containing an agency's seal or logo can be singled out. In this paper, we present a description of IDOCCS as well as preliminary performance results and theoretical projections.

  6. Meaningful Words and Non-Words Repetitive Articulatory Rate (Oral Diadochokinesis) in Persian Speaking Children.

    PubMed

    Zamani, Peyman; Rezai, Hossein; Garmatani, Neda Tahmasebi

    2017-08-01

    Repetitive articulatory rate or Oral Diadochokinesis (oral-DDK) shows a guideline for appraisal and diagnosis of subjects with oral-motor disorder. Traditionally, meaningless words repetition has been utilized in this task and preschool children have challenges with them. Therefore, we aimed to determine some meaningful words in order to test oral-DDK in Persian speaking preschool children. Participants were 142 normally developing children, (age range 4-6 years), who were asked to produce /motæka, golabi/ as two meaningful Persian words and /pa-ta-ka/ as non-word in conventional oral-DDK task. We compared the time taken for 10-times fast repetitions of two meaningful Persian words and the tri-syllabic nonsense word /pa-ta-ka/. Praat software was used to calculate the average time that subjects took to produce the target items. In 4-5 year old children, [Formula: see text] of time taken for 10-times repetitions of /pa-ta-ka, motæka, golabi/ were [Formula: see text], and [Formula: see text] seconds respectively, and in 5-6 year old children were [Formula: see text], and [Formula: see text] seconds respectively. Findings showed that the main effect of type of words on oral diadochokinesis was significant ([Formula: see text]). Children repeated meaningful words /motæka, golabi/ faster than the non-word /pa-ta-ka/. Sex and age factors had no effect on time taken for repetition of oral-DDK test. It is suggested that Speech Therapists can use meaningful words to facilitate oral-DDK test for children.

  7. Visual word ambiguity.

    PubMed

    van Gemert, Jan C; Veenman, Cor J; Smeulders, Arnold W M; Geusebroek, Jan-Mark

    2010-07-01

    This paper studies automatic image classification by modeling soft assignment in the popular codebook model. The codebook model describes an image as a bag of discrete visual words selected from a vocabulary, where the frequency distributions of visual words in an image allow classification. One inherent component of the codebook model is the assignment of discrete visual words to continuous image features. Despite the clear mismatch of this hard assignment with the nature of continuous features, the approach has been successfully applied for some years. In this paper, we investigate four types of soft assignment of visual words to image features. We demonstrate that explicitly modeling visual word assignment ambiguity improves classification performance compared to the hard assignment of the traditional codebook model. The traditional codebook model is compared against our method for five well-known data sets: 15 natural scenes, Caltech-101, Caltech-256, and Pascal VOC 2007/2008. We demonstrate that large codebook vocabulary sizes completely deteriorate the performance of the traditional model, whereas the proposed model performs consistently. Moreover, we show that our method profits in high-dimensional feature spaces and reaps higher benefits when increasing the number of image categories.

  8. Representation Learning of Logic Words by an RNN: From Word Sequences to Robot Actions.

    PubMed

    Yamada, Tatsuro; Murata, Shingo; Arie, Hiroaki; Ogata, Tetsuya

    2017-01-01

    An important characteristic of human language is compositionality. We can efficiently express a wide variety of real-world situations, events, and behaviors by compositionally constructing the meaning of a complex expression from a finite number of elements. Previous studies have analyzed how machine-learning models, particularly neural networks, can learn from experience to represent compositional relationships between language and robot actions with the aim of understanding the symbol grounding structure and achieving intelligent communicative agents. Such studies have mainly dealt with the words (nouns, adjectives, and verbs) that directly refer to real-world matters. In addition to these words, the current study deals with logic words, such as "not," "and," and "or" simultaneously. These words are not directly referring to the real world, but are logical operators that contribute to the construction of meaning in sentences. In human-robot communication, these words may be used often. The current study builds a recurrent neural network model with long short-term memory units and trains it to learn to translate sentences including logic words into robot actions. We investigate what kind of compositional representations, which mediate sentences and robot actions, emerge as the network's internal states via the learning process. Analysis after learning shows that referential words are merged with visual information and the robot's own current state, and the logical words are represented by the model in accordance with their functions as logical operators. Words such as "true," "false," and "not" work as non-linear transformations to encode orthogonal phrases into the same area in a memory cell state space. The word "and," which required a robot to lift up both its hands, worked as if it was a universal quantifier. The word "or," which required action generation that looked apparently random, was represented as an unstable space of the network's dynamical system.

  9. Manipulating Objects and Telling Words: A Study on Concrete and Abstract Words Acquisition

    PubMed Central

    Borghi, Anna M.; Flumini, Andrea; Cimatti, Felice; Marocco, Davide; Scorolli, Claudia

    2011-01-01

    Four experiments (E1–E2–E3–E4) investigated whether different acquisition modalities lead to the emergence of differences typically found between concrete and abstract words, as argued by the words as tools (WAT) proposal. To mimic the acquisition of concrete and abstract concepts, participants either manipulated novel objects or observed groups of objects interacting in novel ways (Training 1). In TEST 1 participants decided whether two elements belonged to the same category. Later they read the category labels (Training 2); labels could be accompanied by an explanation of their meaning. Then participants observed previously seen exemplars and other elements, and were asked which of them could be named with a given label (TEST 2). Across the experiments, it was more difficult to form abstract than concrete categories (TEST 1); even when adding labels, abstract words remained more difficult than concrete words (TEST 2). TEST 3 differed across the experiments. In E1 participants performed a feature production task. Crucially, the associations produced with the novel words reflected the pattern evoked by existing concrete and abstract words, as the first evoked more perceptual properties. In E2–E3–E4, TEST 3 consisted of a color verification task with manual/verbal (keyboard–microphone) responses. Results showed the microphone use to have an advantage over keyboard use for abstract words, especially in the explanation condition. This supports WAT: due to their acquisition modality, concrete words evoke more manual information; abstract words elicit more verbal information. This advantage was not present when linguistic information contrasted with perceptual one. Implications for theories and computational models of language grounding are discussed. PMID:21716582

  10. The Word Shape Hypothesis Re-Examined: Evidence for an External Feature Advantage in Visual Word Recognition

    ERIC Educational Resources Information Center

    Beech, John R.; Mayall, Kate A.

    2005-01-01

    This study investigates the relative roles of internal and external letter features in word recognition. In Experiment 1 the efficacy of outer word fragments (words with all their horizontal internal features removed) was compared with inner word fragments (words with their outer features removed) as primes in a forward masking paradigm. These…

  11. 77 FR 42688 - Snapper-Grouper Fishery Off the Southern Atlantic States; Snapper-Grouper Management Measures

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-07-20

    ... proposed rule to implement a regulatory amendment (Regulatory Amendment 12) to the Fishery Management Plan... can also attach additional files (up to 10MB) in Microsoft Word, Excel, WordPerfect, or Adobe PDF file... benefit to the nation, particularly with respect to providing food production and recreational...

  12. 76 FR 9210 - Draft DOC National Aquaculture Policy

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-02-16

    ... confidential business information or otherwise sensitive or protected information. All comments and attachments... and NOAA's Online Privacy Policy, we treat your name, city, state, and any comments you provide as... accusations. You may submit attachments to electronic comments in Microsoft Word, Excel, WordPerfect, or Adobe...

  13. Reading Comprehension in Children With and Without ASD: The Role of Word Reading, Oral Language, and Working Memory.

    PubMed

    Davidson, Meghan M; Kaushanskaya, Margarita; Ellis Weismer, Susan

    2018-05-25

    Word reading and oral language predict reading comprehension, which is generally poor, in individuals with autism spectrum disorder (ASD). However, working memory (WM), despite documented weaknesses, has not been thoroughly investigated as a predictor of reading comprehension in ASD. This study examined the role of three parallel WM N-back tasks using abstract shapes, familiar objects, and written words in children (8-14 years) with ASD (n = 19) and their typically developing peers (n = 24). All three types of WM were significant predictors of reading comprehension when considered alone. However, these relationships were rendered non-significant with the addition of age, word reading, vocabulary, and group entered into the models. Oral vocabulary emerged as the strongest predictor of reading comprehension.

  14. Painting with Words.

    ERIC Educational Resources Information Center

    Lieberman, Barry

    1983-01-01

    The part that words play in teaching art has been underestimated. In a good art class, there is an interplay of ideas about the ongoing work. By using the right words, the teacher can help students develop their creative faculties. (CS)

  15. Creating a Parallel Version of VisIt for Microsoft Windows

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Whitlock, B J; Biagas, K S; Rawson, P L

    2011-12-07

    VisIt is a popular, free interactive parallel visualization and analysis tool for scientific data. Users can quickly generate visualizations from their data, animate them through time, manipulate them, and save the resulting images or movies for presentations. VisIt was designed from the ground up to work on many scales of computers from modest desktops up to massively parallel clusters. VisIt is comprised of a set of cooperating programs. All programs can be run locally or in client/server mode in which some run locally and some run remotely on compute clusters. The VisIt program most able to harness today's computing powermore » is the VisIt compute engine. The compute engine is responsible for reading simulation data from disk, processing it, and sending results or images back to the VisIt viewer program. In a parallel environment, the compute engine runs several processes, coordinating using the Message Passing Interface (MPI) library. Each MPI process reads some subset of the scientific data and filters the data in various ways to create useful visualizations. By using MPI, VisIt has been able to scale well into the thousands of processors on large computers such as dawn and graph at LLNL. The advent of multicore CPU's has made parallelism the 'new' way to achieve increasing performance. With today's computers having at least 2 cores and in many cases up to 8 and beyond, it is more important than ever to deploy parallel software that can use that computing power not only on clusters but also on the desktop. We have created a parallel version of VisIt for Windows that uses Microsoft's MPI implementation (MSMPI) to process data in parallel on the Windows desktop as well as on a Windows HPC cluster running Microsoft Windows Server 2008. Initial desktop parallel support for Windows was deployed in VisIt 2.4.0. Windows HPC cluster support has been completed and will appear in the VisIt 2.5.0 release. We plan to continue supporting parallel VisIt on Windows so our

  16. Ontology-based structured cosine similarity in document summarization: with applications to mobile audio-based knowledge management.

    PubMed

    Yuan, Soe-Tsyr; Sun, Jerry

    2005-10-01

    Development of algorithms for automated text categorization in massive text document sets is an important research area of data mining and knowledge discovery. Most of the text-clustering methods were grounded in the term-based measurement of distance or similarity, ignoring the structure of the documents. In this paper, we present a novel method named structured cosine similarity (SCS) that furnishes document clustering with a new way of modeling on document summarization, considering the structure of the documents so as to improve the performance of document clustering in terms of quality, stability, and efficiency. This study was motivated by the problem of clustering speech documents (of no rich document features) attained from the wireless experience oral sharing conducted by mobile workforce of enterprises, fulfilling audio-based knowledge management. In other words, this problem aims to facilitate knowledge acquisition and sharing by speech. The evaluations also show fairly promising results on our method of structured cosine similarity.

  17. Identifiable Orthographically Similar Word Primes Interfere in Visual Word Identification

    ERIC Educational Resources Information Center

    Burt, Jennifer S.

    2009-01-01

    University students participated in five experiments concerning the effects of unmasked, orthographically similar, primes on visual word recognition in the lexical decision task (LDT) and naming tasks. The modal prime-target stimulus onset asynchrony (SOA) was 350 ms. When primes were words that were orthographic neighbors of the targets, and…

  18. Exploring the Efficacy of "The Word within the Word" for Gifted and Typically Developing Students

    ERIC Educational Resources Information Center

    Gallagher, Shelagh A.

    2017-01-01

    An exploratory study of the efficacy of "The Word Within the Word" tested students' abilities to recognize, use, and recall vocabulary. Ten middle school teachers and their 493 students participated. Five teachers used "The Word Within the Word", and five used traditional vocabulary materials. Students completed an out-of-level…

  19. When Half a Word Is Enough: Infants Can Recognize Spoken Words Using Partial Phonetic Information.

    ERIC Educational Resources Information Center

    Fernald, Anne; Swingley, Daniel; Pinto, John P.

    2001-01-01

    Two experiments tracked infants' eye movements to examine use of word-initial information to understand fluent speech. Results indicated that 21- and 18-month-olds recognized partial words as quickly and reliably as whole words. Infants' productive vocabulary and reaction time were related to word recognition accuracy. Results show that…

  20. Beyond Word Frequency: Bursts, Lulls, and Scaling in the Temporal Distributions of Words

    PubMed Central

    Altmann, Eduardo G.; Pierrehumbert, Janet B.; Motter, Adilson E.

    2009-01-01

    Background Zipf's discovery that word frequency distributions obey a power law established parallels between biological and physical processes, and language, laying the groundwork for a complex systems perspective on human communication. More recent research has also identified scaling regularities in the dynamics underlying the successive occurrences of events, suggesting the possibility of similar findings for language as well. Methodology/Principal Findings By considering frequent words in USENET discussion groups and in disparate databases where the language has different levels of formality, here we show that the distributions of distances between successive occurrences of the same word display bursty deviations from a Poisson process and are well characterized by a stretched exponential (Weibull) scaling. The extent of this deviation depends strongly on semantic type – a measure of the logicality of each word – and less strongly on frequency. We develop a generative model of this behavior that fully determines the dynamics of word usage. Conclusions/Significance Recurrence patterns of words are well described by a stretched exponential distribution of recurrence times, an empirical scaling that cannot be anticipated from Zipf's law. Because the use of words provides a uniquely precise and powerful lens on human thought and activity, our findings also have implications for other overt manifestations of collective human dynamics. PMID:19907645

  1. Words Come in Families.

    ERIC Educational Resources Information Center

    Horowitz, Edward

    This vocabulary enrichment book presents over 100 word roots of the English language. Each root is defined and its origin discussed. Words which derive from the roots are also defined and used in sentences which illustrate their meaning and usage. Over a thousand words are included in all, deriving from such roots as: allos, alter, ambul, arch,…

  2. COMPUTER-AIDED WORD RESEARCH.

    ERIC Educational Resources Information Center

    SILIAKUS, H.J.

    IN PREPARATION FOR THE DEVELOPMENT OF A GENERAL FREQUENCY WORD LIST IN GERMAN DESIGNED TO MEET THE NEEDS OF THE INTERMEDIATE AND ADVANCED LEVELS OF READING IN THE GERMAN CURRICULUM, A COMPUTER-BASED WORD COUNT WAS BEGUN IN AUSTRALIA'S UNIVERSITY OF ADELAIDE. USING MAGNETIC TAPES CONTAINING (1) A TEXT OF OVER 100,000 RUNNING WORDS, (2) 1,000 MOST…

  3. Situated Word Learning: Words of the Year (WsOY) and Social Studies Inquiry

    ERIC Educational Resources Information Center

    Heafner, Tina L.; Triplett, Nicholas; Handler, Laura; Massey, Dixie

    2018-01-01

    Current events influence public interest and drive Internet word searches. For over a decade, linguists and dictionary publishers have analyzed big data from Internet word searches to designate "Words of the Year" (WsOY). In this study, we examine how WsOY can foster critical digital literacy and illuminate essential aspects of inquiry…

  4. Chromatographic peak resolution using Microsoft Excel Solver. The merit of time shifting input arrays.

    PubMed

    Dasgupta, Purnendu K

    2008-12-05

    Resolution of overlapped chromatographic peaks is generally accomplished by modeling the peaks as Gaussian or modified Gaussian functions. It is possible, even preferable, to use actual single analyte input responses for this purpose and a nonlinear least squares minimization routine such as that provided by Microsoft Excel Solver can then provide the resolution. In practice, the quality of the results obtained varies greatly due to small shifts in retention time. I show here that such deconvolution can be considerably improved if one or more of the response arrays are iteratively shifted in time.

  5. The Effects of the Use of Microsoft Math Tool (Graphical Calculator) Instruction on Students' Performance in Linear Functions

    ERIC Educational Resources Information Center

    Kissi, Philip Siaw; Opoku, Gyabaah; Boateng, Sampson Kwadwo

    2016-01-01

    The aim of the study was to investigate the effect of Microsoft Math Tool (graphical calculator) on students' achievement in the linear function. The study employed Quasi-experimental research design (Pre-test Post-test two group designs). A total of ninety-eight (98) students were selected for the study from two different Senior High Schools…

  6. Comparing Hybrid Learning with Traditional Approaches on Learning the Microsoft Office Power Point 2003 Program in Tertiary Education

    ERIC Educational Resources Information Center

    Vernadakis, Nikolaos; Antoniou, Panagiotis; Giannousi, Maria; Zetou, Eleni; Kioumourtzoglou, Efthimis

    2011-01-01

    The purpose of this study was to determine the effectiveness of a hybrid learning approach to deliver a computer science course concerning the Microsoft office PowerPoint 2003 program in comparison to delivering the same course content in the form of traditional lectures. A hundred and seventy-two first year university students were randomly…

  7. Can shoulder range of movement be measured accurately using the Microsoft Kinect sensor plus Medical Interactive Recovery Assistant (MIRA) software?

    PubMed

    Wilson, James D; Khan-Perez, Jennifer; Marley, Dominic; Buttress, Susan; Walton, Michael; Li, Baihua; Roy, Bibhas

    2017-12-01

    This study compared the accuracy of measuring shoulder range of movement (ROM) with a simple laptop-sensor combination vs. trained observers (shoulder physiotherapists and shoulder surgeons) using motion capture (MoCap) laboratory equipment as the gold standard. The Microsoft Kinect sensor (Microsoft Corp., Redmond, WA, USA) tracks 3-dimensional human motion. Ordinarily used with an Xbox (Microsoft Corp.) video game console, Medical Interactive Recovery Assistant (MIRA) software (MIRA Rehab Ltd., London, UK) allows this small sensor to measure shoulder movement with a standard computer. Shoulder movements of 49 healthy volunteers were simultaneously measured by trained observers, MoCap, and the MIRA device. Internal rotation was assessed with the shoulder abducted 90° and external rotation with the shoulder adducted. Visual estimation and MIRA measurements were compared with gold standard MoCap measurements for agreement using Bland-Altman methods. There were 1670 measurements analyzed. The MIRA evaluations of all 4 cardinal shoulder movements were significantly more precise, with narrower limits of agreement, than the measurements of trained observers. MIRA achieved ±11° (95% confidence interval [CI], 8.7°-12.6°) for forward flexion vs. ±16° (95% CI, 14.6°-17.6°) by trained observers. For abduction, MIRA showed ±11° (95% CI, 8.7°-12.8°) against ±15° (95% CI, 13.4°-16.2°) for trained observers. MIRA attained ±10° (95% CI, 8.1°-11.9°) during external rotation measurement, whereas trained observers only reached ±21° (95% CI, 18.7°-22.6°). For internal rotation, MIRA achieved ±9° (95% CI, 7.2°-10.4°), which was again better than TOs at ±18° (95% CI, 16.0°-19.3°). A laptop combined with a Microsoft Kinect sensor and the MIRA software can measure shoulder movements with acceptable levels of accuracy. This technology, which can be easily set up, may also allow precise shoulder ROM measurement outside the clinic setting. Copyright © 2017

  8. Rank-frequency distributions of Romanian words

    NASA Astrophysics Data System (ADS)

    Cocioceanu, Adrian; Raportaru, Carina Mihaela; Nicolin, Alexandru I.; Jakimovski, Dragan

    2017-12-01

    The calibration of voice biometrics solutions requires detailed analyses of spoken texts and in this context we investigate by computational means the rank-frequency distributions of Romanian words and word series to determine the most common words and word series of the language. To this end, we have constructed a corpus of approximately 2.5 million words and then determined that the rank-frequency distributions of the Romanian words, as well as series of two, and three subsequent words, obey the celebrated Zipf law.

  9. Word game bingo: a behavioral treatment package for improving textual responding to sight words.

    PubMed Central

    Kirby, K C; Holborn, S W; Bushby, H T

    1981-01-01

    Six third-grade students identified as deficient in reading skills tested the efficacy of word game bingo for acquisition and retention of sight word reading. The design was a modified multiple baseline in which treatment was implemented over 3 of 4 word sets and terminated on earlier sets when commencing treatment on later sets. Four sets of bingo cards were constructed on 7 X 9 cm paper divided into 25 equal-sized boxes. Sight words of each set were randomly placed into 24 of these boxes (the center box was marked "free"). Bingo winners were given tokens which were traded weekly for reinforcing activities. Noticeable improvements occurred for the word sets receiving the game treatment (sets A to C). Mean percentage points of improvement from baseline to treatment were approximately 30%. Terminal levels of correct responding exceeded 90%. Several variations of the game were suggested for future research and word game bingo was advocated as an effective behavioral technique or teachers to train sight word reading. PMID:7298541

  10. Design and test of an automated version of the modified Jebsen test of hand function using Microsoft Kinect.

    PubMed

    Simonsen, Daniel; Nielsen, Ida F; Spaich, Erika G; Andersen, Ole K

    2017-05-02

    The present paper describes the design and evaluation of an automated version of the Modified Jebsen Test of Hand Function (MJT) based on the Microsoft Kinect sensor. The MJT was administered twice to 11 chronic stroke subjects with varying degrees of hand function deficits. The test times of the MJT were evaluated manually by a therapist using a stopwatch, and automatically using the Microsoft Kinect sensor. The ground truth times were assessed based on inspection of the video-recordings. The agreement between the methods was evaluated along with the test-retest performance. The results from Bland-Altman analysis showed better agreement between the ground truth times and the automatic MJT time evaluations compared to the agreement between the ground truth times and the times estimated by the therapist. The results from the test-retest performance showed that the subjects significantly improved their performance in several subtests of the MJT, indicating a practice effect. The results from the test showed that the Kinect can be used for automating the MJT.

  11. Word-Processing "Efficiency"--By Means of Personalized Word-Frequency Lists.

    ERIC Educational Resources Information Center

    Coniam, David

    2001-01-01

    Examines the concept of the efficiency with which text is entered into a word processor--from the perspective of effective use of keyboard shortcuts. Illustrates how the possibility for productiveness offered by shortcuts, available through the use of features such as Autotext, are often under-utilized by many word processor users, academics being…

  12. The Multisyllabic Word Dilemma: Helping Students Build Meaning, Spell, and Read "Big" Words.

    ERIC Educational Resources Information Center

    Cunningham, Patricia M.

    1998-01-01

    Looks at what is known about multisyllabic words, which is a lot more than educators knew when the previous generation of multisyllabic word instruction was created. Reviews the few studies that have carried out instructional approaches to increase students' ability to decode big words. Outlines a program of instruction, based on what is currently…

  13. The valuable use of Microsoft Kinect™ sensor 3D kinematic in the rehabilitation process in basketball

    NASA Astrophysics Data System (ADS)

    Braidot, Ariel; Favaretto, Guillermo; Frisoli, Melisa; Gemignani, Diego; Gumpel, Gustavo; Massuh, Roberto; Rayan, Josefina; Turin, Matías

    2016-04-01

    Subjects who practice sports either as professionals or amateurs, have a high incidence of knee injuries. There are a few publications that show studies from a kinematic point of view of lateral-structure-knee injuries, including meniscal (meniscal tears or chondral injury), without anterior cruciate ligament rupture. The use of standard motion capture systems for measuring outdoors sport is hard to implement due to many operative reasons. Recently released, the Microsoft Kinect™ is a sensor that was developed to track movements for gaming purposes and has seen an increased use in clinical applications. The fact that this device is a simple and portable tool allows the acquisition of data of sport common movements in the field. The development and testing of a set of protocols for 3D kinematic measurement using the Microsoft Kinect™ system is presented in this paper. The 3D kinematic evaluation algorithms were developed from information available and with the use of Microsoft’s Software Development Kit 1.8 (SDK). Along with this, an algorithm for calculating the lower limb joints angles was implemented. Thirty healthy adult volunteers were measured, using five different recording protocols for sport characteristic gestures which involve high knee injury risk in athletes.

  14. Accent modulates access to word meaning: Evidence for a speaker-model account of spoken word recognition.

    PubMed

    Cai, Zhenguang G; Gilbert, Rebecca A; Davis, Matthew H; Gaskell, M Gareth; Farrar, Lauren; Adler, Sarah; Rodd, Jennifer M

    2017-11-01

    Speech carries accent information relevant to determining the speaker's linguistic and social background. A series of web-based experiments demonstrate that accent cues can modulate access to word meaning. In Experiments 1-3, British participants were more likely to retrieve the American dominant meaning (e.g., hat meaning of "bonnet") in a word association task if they heard the words in an American than a British accent. In addition, results from a speeded semantic decision task (Experiment 4) and sentence comprehension task (Experiment 5) confirm that accent modulates on-line meaning retrieval such that comprehension of ambiguous words is easier when the relevant word meaning is dominant in the speaker's dialect. Critically, neutral-accent speech items, created by morphing British- and American-accented recordings, were interpreted in a similar way to accented words when embedded in a context of accented words (Experiment 2). This finding indicates that listeners do not use accent to guide meaning retrieval on a word-by-word basis; instead they use accent information to determine the dialectic identity of a speaker and then use their experience of that dialect to guide meaning access for all words spoken by that person. These results motivate a speaker-model account of spoken word recognition in which comprehenders determine key characteristics of their interlocutor and use this knowledge to guide word meaning access. Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

  15. Limitations of the dual-process-theory regarding the writing of words and non-words to dictation.

    PubMed

    Tucha, Oliver; Trumpp, Christian; Lange, Klaus W

    2004-12-01

    It is generally assumed that the lexical and phonological systems are involved in writing to dictation. In an experiment concerned with the writing of words and non-words to dictation, the handwriting of female students was registered using a digitising tablet. The data contradict the assumption that the phonological system represents an alexical process. Both words and non-words which were acoustically presented to the subjects were lexically parsed. The analysis of kinematic data revealed significant differences between the subjects' writing of words and non-words. The findings reveal gross disturbances of handwriting fluency during the writing of non-words. The findings of the experiment cannot be explained by the dual-process-theory.

  16. Experience with compound words influences their processing: An eye movement investigation with English compound words.

    PubMed

    Juhasz, Barbara J

    2016-11-14

    Recording eye movements provides information on the time-course of word recognition during reading. Juhasz and Rayner [Juhasz, B. J., & Rayner, K. (2003). Investigating the effects of a set of intercorrelated variables on eye fixation durations in reading. Journal of Experimental Psychology: Learning, Memory and Cognition, 29, 1312-1318] examined the impact of five word recognition variables, including familiarity and age-of-acquisition (AoA), on fixation durations. All variables impacted fixation durations, but the time-course differed. However, the study focused on relatively short, morphologically simple words. Eye movements are also informative for examining the processing of morphologically complex words such as compound words. The present study further examined the time-course of lexical and semantic variables during morphological processing. A total of 120 English compound words that varied in familiarity, AoA, semantic transparency, lexeme meaning dominance, sensory experience rating (SER), and imageability were selected. The impact of these variables on fixation durations was examined when length, word frequency, and lexeme frequencies were controlled in a regression model. The most robust effects were found for familiarity and AoA, indicating that a reader's experience with compound words significantly impacts compound recognition. These results provide insight into semantic processing of morphologically complex words during reading.

  17. Representation Learning of Logic Words by an RNN: From Word Sequences to Robot Actions

    PubMed Central

    Yamada, Tatsuro; Murata, Shingo; Arie, Hiroaki; Ogata, Tetsuya

    2017-01-01

    An important characteristic of human language is compositionality. We can efficiently express a wide variety of real-world situations, events, and behaviors by compositionally constructing the meaning of a complex expression from a finite number of elements. Previous studies have analyzed how machine-learning models, particularly neural networks, can learn from experience to represent compositional relationships between language and robot actions with the aim of understanding the symbol grounding structure and achieving intelligent communicative agents. Such studies have mainly dealt with the words (nouns, adjectives, and verbs) that directly refer to real-world matters. In addition to these words, the current study deals with logic words, such as “not,” “and,” and “or” simultaneously. These words are not directly referring to the real world, but are logical operators that contribute to the construction of meaning in sentences. In human–robot communication, these words may be used often. The current study builds a recurrent neural network model with long short-term memory units and trains it to learn to translate sentences including logic words into robot actions. We investigate what kind of compositional representations, which mediate sentences and robot actions, emerge as the network's internal states via the learning process. Analysis after learning shows that referential words are merged with visual information and the robot's own current state, and the logical words are represented by the model in accordance with their functions as logical operators. Words such as “true,” “false,” and “not” work as non-linear transformations to encode orthogonal phrases into the same area in a memory cell state space. The word “and,” which required a robot to lift up both its hands, worked as if it was a universal quantifier. The word “or,” which required action generation that looked apparently random, was represented as an unstable space of

  18. Performance impact of stop lists and morphological decomposition on word-word corpus-based semantic space models.

    PubMed

    Keith, Jeff; Westbury, Chris; Goldman, James

    2015-09-01

    Corpus-based semantic space models, which primarily rely on lexical co-occurrence statistics, have proven effective in modeling and predicting human behavior in a number of experimental paradigms that explore semantic memory representation. The most widely studied extant models, however, are strongly influenced by orthographic word frequency (e.g., Shaoul & Westbury, Behavior Research Methods, 38, 190-195, 2006). This has the implication that high-frequency closed-class words can potentially bias co-occurrence statistics. Because these closed-class words are purported to carry primarily syntactic, rather than semantic, information, the performance of corpus-based semantic space models may be improved by excluding closed-class words (using stop lists) from co-occurrence statistics, while retaining their syntactic information through other means (e.g., part-of-speech tagging and/or affixes from inflected word forms). Additionally, very little work has been done to explore the effect of employing morphological decomposition on the inflected forms of words in corpora prior to compiling co-occurrence statistics, despite (controversial) evidence that humans perform early morphological decomposition in semantic processing. In this study, we explored the impact of these factors on corpus-based semantic space models. From this study, morphological decomposition appears to significantly improve performance in word-word co-occurrence semantic space models, providing some support for the claim that sublexical information-specifically, word morphology-plays a role in lexical semantic processing. An overall decrease in performance was observed in models employing stop lists (e.g., excluding closed-class words). Furthermore, we found some evidence that weakens the claim that closed-class words supply primarily syntactic information in word-word co-occurrence semantic space models.

  19. Visual word form familiarity and attention in lateral difference during processing Japanese Kana words.

    PubMed

    Nakagawa, A; Sukigara, M

    2000-09-01

    The purpose of this study was to examine the relationship between familiarity and laterality in reading Japanese Kana words. In two divided-visual-field experiments, three- or four-character Hiragana or Katakana words were presented in both familiar and unfamiliar scripts, to which subjects performed lexical decisions. Experiment 1, using three stimulus durations (40, 100, 160 ms), suggested that only in the unfamiliar script condition was increased stimulus presentation time differently affected in each visual field. To examine this lateral difference during the processing of unfamiliar scripts as related to attentional laterality, a concurrent auditory shadowing task was added in Experiment 2. The results suggested that processing words in an unfamiliar script requires attention, which could be left-hemisphere lateralized, while orthographically familiar kana words can be processed automatically on the basis of their word-level orthographic representations or visual word form. Copyright 2000 Academic Press.

  20. Understanding "A Tale of Two Cities": A Student Casebook to Issues, Sources, and Historical Documents.

    ERIC Educational Resources Information Center

    Newlin, George

    Charles Dickens' novel, "A Tale of Two Cities," does not waste a word in telling a touching, suspenseful tale set against the background of one of the bloodiest events in history, the French Revolution. This casebook's collection of historical documents, collateral readings, and commentary will promote interdisciplinary study of the…

  1. Holistic word processing in dyslexia

    PubMed Central

    Conway, Aisling; Misra, Karuna

    2017-01-01

    People with dyslexia have difficulty learning to read and many lack fluent word recognition as adults. In a novel task that borrows elements of the ‘word superiority’ and ‘word inversion’ paradigms, we investigate whether holistic word recognition is impaired in dyslexia. In Experiment 1 students with dyslexia and controls judged the similarity of pairs of 6- and 7-letter words or pairs of words whose letters had been partially jumbled. The stimuli were presented in both upright and inverted form with orthographic regularity and orientation randomized from trial to trial. While both groups showed sensitivity to orthographic regularity, both word inversion and letter jumbling were more detrimental to skilled than dyslexic readers supporting the idea that the latter may read in a more analytic fashion. Experiment 2 employed the same task but using shorter, 4- and 5-letter words and a design where orthographic regularity and stimuli orientation was held constant within experimental blocks to encourage the use of either holistic or analytic processing. While there was no difference in reaction time between the dyslexic and control groups for inverted stimuli, the students with dyslexia were significantly slower than controls for upright stimuli. These findings suggest that holistic word recognition, which is largely based on the detection of orthographic regularity, is impaired in dyslexia. PMID:29121046

  2. 75 FR 52921 - Fisheries in the Western Pacific; Hawaii Bottomfish and Seamount Groundfish; Management Measures...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-08-30

    ... anonymous). Attachments to electronic comments will be accepted in Microsoft Word or Excel, WordPerfect, or Adobe PDF file formats only. Amendment 2 to the Fishery Ecosystem Plan for the Hawaiian Archipelago....gpoaccess.gov/fr . Fishing for pelagic armorhead is managed under the Fishery Ecosystem Plan for the...

  3. 76 FR 13887 - Fisheries of the Northeastern United States; Atlantic Mackerel, Squid, and Butterfish (MSB...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-03-15

    ... comments in Microsoft Word, Excel, WordPerfect, or Adobe PDF file formats only. FOR FURTHER INFORMATION... butterfish stock was overfished. The Mid-Atlantic Fishery Management Council (Council) developed Amendment 10 to the FMP in response to SAW 38; Amendment 10 enacted a rebuilding program for butterfish, as well...

  4. Ten Important Words Plus: A Strategy for Building Word Knowledge

    ERIC Educational Resources Information Center

    Yopp, Ruth Helen; Yopp, Hallie Kay

    2007-01-01

    In this strategy, students individually select and record 10 important words on self-adhesive notes as they read a text. Then students build a group bar graph displaying their choices, write a sentence that summarizes the content, and then respond to prompts that ask them to think about words in powerful ways. Several prompts are suggested, each…

  5. Speed discrimination predicts word but not pseudo-word reading rate in adults and children

    PubMed Central

    Main, Keith L.; Pestilli, Franco; Mezer, Aviv; Yeatman, Jason; Martin, Ryan; Phipps, Stephanie; Wandell, Brian

    2014-01-01

    Word familiarity may affect magnocellular processes of word recognition. To explore this idea, we measured reading rate, speed-discrimination, and contrast detection thresholds in adults and children with a wide range of reading abilities. We found that speed-discrimination thresholds are higher in children than in adults and are correlated with age. Speed discrimination thresholds are also correlated with reading rate, but only for words, not for pseudo-words. Conversely, we found no correlation between contrast sensitivity and reading rate and no correlation between speed discrimination thresholds WASI subtest scores. These findings support the position that reading rate is influenced by magnocellular circuitry attuned to the recognition of familiar word-forms. PMID:25278418

  6. The Effect of Language Exposure and Word Characteristics on the Arab EFL Learners' Word Associations.

    PubMed

    El-Dakhs, Dina Abdel Salam

    2017-08-01

    The present study investigates the patterns of word associations among Arab EFL learners and compares these patterns with those of native speakers of English. The study also examines the influence of increased language exposure and word characteristics on the learners' association patterns. To this end, 45 native speakers of English and 421 Arab learners of English at a Saudi university with two distinct levels of English language exposure completed a multiple-response word association test and their responses were analyzed, examined and compared. The results revealed strong influence for language exposure and word characteristics on the learners' associations and support a developmental approach to the second language lexicon where an increase in language exposure and word knowledge enhances mental word connectivity and increases its native-like similarity.

  7. Personality in 100,000 Words: A large-scale analysis of personality and word use among bloggers

    PubMed Central

    Yarkoni, Tal

    2010-01-01

    Previous studies have found systematic associations between personality and individual differences in word use. Such studies have typically focused on broad associations between major personality domains and aggregate word categories, potentially masking more specific associations. Here I report the results of a large-scale analysis of personality and word use in a large sample of blogs (N=694). The size of the dataset enabled pervasive correlations with personality to be identified for a broad range of lexical variables, including both aggregate word categories and individual English words. The results replicated category-level findings from previous offline studies, identified numerous novel associations at both a categorical and single-word level, and underscored the value of complementary approaches to the study of personality and word use. PMID:20563301

  8. The Electronic Documentation Project in the NASA mission control center environment

    NASA Technical Reports Server (NTRS)

    Wang, Lui; Leigh, Albert

    1994-01-01

    NASA's space programs like many other technical programs of its magnitude is supported by a large volume of technical documents. These documents are not only diverse but also abundant. Management, maintenance, and retrieval of these documents is a challenging problem by itself; but, relating and cross-referencing this wealth of information when it is all on a medium of paper is an even greater challenge. The Electronic Documentation Project (EDP) is to provide an electronic system capable of developing, distributing and controlling changes for crew/ground controller procedures and related documents. There are two primary motives for the solution. The first motive is to reduce the cost of maintaining the current paper based method of operations by replacing paper documents with electronic information storage and retrieval. And, the other is to improve the efficiency and provide enhanced flexibility in document usage. Initially, the current paper based system will be faithfully reproduced in an electronic format to be used in the document viewing system. In addition, this metaphor will have hypertext extensions. Hypertext features support basic functions such as full text searches, key word searches, data retrieval, and traversal between nodes of information as well as speeding up the data access rate. They enable related but separate documents to have relationships, and allow the user to explore information naturally through non-linear link traversals. The basic operational requirements of the document viewing system are to: provide an electronic corollary to the current method of paper based document usage; supplement and ultimately replace paper-based documents; maintain focused toward control center operations such as Flight Data File, Flight Rules and Console Handbook viewing; and be available NASA wide.

  9. Comparison of Document Index Graph Using TextRank and HITS Weighting Method in Automatic Text Summarization

    NASA Astrophysics Data System (ADS)

    Hadyan, Fadhlil; Shaufiah; Arif Bijaksana, Moch.

    2017-01-01

    Automatic summarization is a system that can help someone to take the core information of a long text instantly. The system can help by summarizing text automatically. there’s Already many summarization systems that have been developed at this time but there are still many problems in those system. In this final task proposed summarization method using document index graph. This method utilizes the PageRank and HITS formula used to assess the web page, adapted to make an assessment of words in the sentences in a text document. The expected outcome of this final task is a system that can do summarization of a single document, by utilizing document index graph with TextRank and HITS to improve the quality of the summary results automatically.

  10. Word Durations in Non-Native English

    PubMed Central

    Baker, Rachel E.; Baese-Berk, Melissa; Bonnasse-Gahot, Laurent; Kim, Midam; Van Engen, Kristin J.; Bradlow, Ann R.

    2010-01-01

    In this study, we compare the effects of English lexical features on word duration for native and non-native English speakers and for non-native speakers with different L1s and a range of L2 experience. We also examine whether non-native word durations lead to judgments of a stronger foreign accent. We measured word durations in English paragraphs read by 12 American English (AE), 20 Korean, and 20 Chinese speakers. We also had AE listeners rate the `accentedness' of these non-native speakers. AE speech had shorter durations, greater within-speaker word duration variance, greater reduction of function words, and less between-speaker variance than non-native speech. However, both AE and non-native speakers showed sensitivity to lexical predictability by reducing second mentions and high frequency words. Non-native speakers with more native-like word durations, greater within-speaker word duration variance, and greater function word reduction were perceived as less accented. Overall, these findings identify word duration as an important and complex feature of foreign-accented English. PMID:21516172

  11. Information properties of morphologically complex words modulate brain activity during word reading

    PubMed Central

    Hultén, Annika; Lehtonen, Minna; Lagus, Krista; Salmelin, Riitta

    2018-01-01

    Abstract Neuroimaging studies of the reading process point to functionally distinct stages in word recognition. Yet, current understanding of the operations linked to those various stages is mainly descriptive in nature. Approaches developed in the field of computational linguistics may offer a more quantitative approach for understanding brain dynamics. Our aim was to evaluate whether a statistical model of morphology, with well‐defined computational principles, can capture the neural dynamics of reading, using the concept of surprisal from information theory as the common measure. The Morfessor model, created for unsupervised discovery of morphemes, is based on the minimum description length principle and attempts to find optimal units of representation for complex words. In a word recognition task, we correlated brain responses to word surprisal values derived from Morfessor and from other psycholinguistic variables that have been linked with various levels of linguistic abstraction. The magnetoencephalography data analysis focused on spatially, temporally and functionally distinct components of cortical activation observed in reading tasks. The early occipital and occipito‐temporal responses were correlated with parameters relating to visual complexity and orthographic properties, whereas the later bilateral superior temporal activation was correlated with whole‐word based and morphological models. The results show that the word processing costs estimated by the statistical Morfessor model are relevant for brain dynamics of reading during late processing stages. PMID:29524274

  12. Thematic Journeys. Words that I Own

    ERIC Educational Resources Information Center

    Zingher, Gary

    2005-01-01

    Children may feel a sense of ownership when they learn a new vocabulary word that genuinely excites them--a dynamic word, a poetic word, a word with a delicious sound or interesting meaning. Right away, they like to try out these words, experiment with them, incorporate them into the speaking and writing, and impress others with their mastery.…

  13. Non-Arbitrariness in Mapping Word Form to Meaning: Cross-Linguistic Formal Markers of Word Concreteness.

    PubMed

    Reilly, Jamie; Hung, Jinyi; Westbury, Chris

    2017-05-01

    Arbitrary symbolism is a linguistic doctrine that predicts an orthogonal relationship between word forms and their corresponding meanings. Recent corpora analyses have demonstrated violations of arbitrary symbolism with respect to concreteness, a variable characterizing the sensorimotor salience of a word. In addition to qualitative semantic differences, abstract and concrete words are also marked by distinct morphophonological structures such as length and morphological complexity. Native English speakers show sensitivity to these markers in tasks such as auditory word recognition and naming. One unanswered question is whether this violation of arbitrariness reflects an idiosyncratic property of the English lexicon or whether word concreteness is a marked phenomenon across other natural languages. We isolated concrete and abstract English nouns (N = 400), and translated each into Russian, Arabic, Dutch, Mandarin, Hindi, Korean, Hebrew, and American Sign Language. We conducted offline acoustic analyses of abstract and concrete word length discrepancies across languages. In a separate experiment, native English speakers (N = 56) with no prior knowledge of these foreign languages judged concreteness of these nouns (e.g., Can you see, hear, feel, or touch this? Yes/No). Each naïve participant heard pre-recorded words presented in randomized blocks of three foreign languages following a brief listening exposure to a narrative sample from each respective language. Concrete and abstract words differed by length across five of eight languages, and prediction accuracy exceeded chance for four of eight languages. These results suggest that word concreteness is a marked phenomenon across several of the world's most widely spoken languages. We interpret these findings as supportive of an adaptive cognitive heuristic that allows listeners to exploit non-arbitrary mappings of word form to word meaning. Copyright © 2016 Cognitive Science Society, Inc.

  14. Command Center Library Model Document. Comprehensive Approach to Reusable Defense Software (CARDS)

    DTIC Science & Technology

    1992-05-31

    system, and functionality for specifying the layout of the document. 3.7.16.1 FrameMaker FrameMaker is a Commercial Off The Shelf (COTS) component...facilitating WYSIWYG creation of formatted reports with embedded graphics. FrameMaker is an advanced publishing tool that integrates word processing...available for the component FrameMaker : * Product evaluation reports in ASCII and postscript formats • Product assessment on line in model 0 Product

  15. How strongly do word reading times and lexical decision times correlate? Combining data from eye movement corpora and megastudies.

    PubMed

    Kuperman, Victor; Drieghe, Denis; Keuleers, Emmanuel; Brysbaert, Marc

    2013-01-01

    We assess the amount of shared variance between three measures of visual word recognition latencies: eye movement latencies, lexical decision times, and naming times. After partialling out the effects of word frequency and word length, two well-documented predictors of word recognition latencies, we see that 7-44% of the variance is uniquely shared between lexical decision times and naming times, depending on the frequency range of the words used. A similar analysis of eye movement latencies shows that the percentage of variance they uniquely share either with lexical decision times or with naming times is much lower. It is 5-17% for gaze durations and lexical decision times in studies with target words presented in neutral sentences, but drops to 0.2% for corpus studies in which eye movements to all words are analysed. Correlations between gaze durations and naming latencies are lower still. These findings suggest that processing times in isolated word processing and continuous text reading are affected by specific task demands and presentation format, and that lexical decision times and naming times are not very informative in predicting eye movement latencies in text reading once the effect of word frequency and word length are taken into account. The difference between controlled experiments and natural reading suggests that reading strategies and stimulus materials may determine the degree to which the immediacy-of-processing assumption and the eye-mind assumption apply. Fixation times are more likely to exclusively reflect the lexical processing of the currently fixated word in controlled studies with unpredictable target words rather than in natural reading of sentences or texts.

  16. Chippy's Computer Words.

    ERIC Educational Resources Information Center

    Willing, Kathlene R.; Girard, Suzanne

    Intended for young children just becoming familiar with computers, this naming book introduces and reinforces new computer vocabulary and concepts. The 20 words are presented alphabetically, along with illustrations, providing room for different activities in which children can match and name the pictures and words. The 20 vocabulary items are…

  17. Comparative Analysis of Microsoft Package (MSP) Competence among Teacher Trainee Students in Botswana and Nigeria: Implications for Curriculum Practices

    ERIC Educational Resources Information Center

    Ogwu, Edna Nwanyiuzor; Ogwu, Francis Chibuzor

    2016-01-01

    Most school curriculum is thwarted at the implementation level as a result of poor utilization of innovative Microsoft packages (MSP) for learning. The purpose of this study therefore is to determine the extent of utilization of innovative MSP for learning between teacher trainee students (TTSs) from Botswana and Nigeria, as well as their…

  18. Document similarity measures and document browsing

    NASA Astrophysics Data System (ADS)

    Ahmadullin, Ildus; Fan, Jian; Damera-Venkata, Niranjan; Lim, Suk Hwan; Lin, Qian; Liu, Jerry; Liu, Sam; O'Brien-Strain, Eamonn; Allebach, Jan

    2011-03-01

    Managing large document databases is an important task today. Being able to automatically com- pare document layouts and classify and search documents with respect to their visual appearance proves to be desirable in many applications. We measure single page documents' similarity with respect to distance functions between three document components: background, text, and saliency. Each document component is represented as a Gaussian mixture distribution; and distances between dierent documents' components are calculated as probabilistic similarities between corresponding distributions. The similarity measure between documents is represented as a weighted sum of the components' distances. Using this document similarity measure, we propose a browsing mechanism operating on a document dataset. For these purposes, we use a hierarchical browsing environment which we call the document similarity pyramid. It allows the user to browse a large document dataset and to search for documents in the dataset that are similar to the query. The user can browse the dataset on dierent levels of the pyramid, and zoom into the documents that are of interest.

  19. Synonym-Based Word Frequency Analysis to Support the Development and Presentation of a Public Health Quality Improvement Taxonomy.

    PubMed

    Pina, Jamie; Massoudi, Barbara L; Chester, Kelley; Koyanagi, Mark

    2018-06-07

    Researchers and analysts have not completely examined word frequency analysis as an approach to creating a public health quality improvement taxonomy. To develop a taxonomy of public health quality improvement concepts for an online exchange of quality improvement work. We analyzed documents, conducted an expert review, and employed a user-centered design along with a faceted search approach to make online entries searchable for users. To provide the most targeted facets to users, we used word frequency to analyze 334 published public health quality improvement documents to find the most common clusters of word meanings. We then reviewed the highest-weighted concepts and categorized their relationships to quality improvement details in our taxonomy. Next, we mapped meanings to items in our taxonomy and presented them in order of their weighted percentages in the data. Using these methods, we developed and sorted concepts in the faceted search presentation so that online exchange users could access relevant search criteria. We reviewed 50 of the top synonym clusters and identified 12 categories for our taxonomy data. The final categories were as follows: Summary; Planning and Execution Details; Health Impact; Training and Preparation; Information About the Community; Information About the Health Department; Results; Quality Improvement (QI) Staff; Information; Accreditation Details; Collaborations; and Contact Information of the Submitter. Feedback about the elements in the taxonomy and presentation of elements in our search environment from users has been positive. When relevant data are available, the word frequency analysis method may be useful in other taxonomy development efforts for public health.

  20. The Influence of Word Frequency on Word Retrieval: Measuring Covert Behaviors

    ERIC Educational Resources Information Center

    Chih, Yu-Chun; Stierwalt, Julie A. G.; LaPointe, Leonard L.; Chih, Yu-Pin

    2017-01-01

    Physiological activities (heart rate and respiratory rate) during a word retrieval task were measured in normal participants. Word frequency demonstrated a significant effect on naming accuracy and latencies but not on physiological activities. These data will serve as a basis for comparison for individuals with a compromised language system.

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