WorldWideScience

Sample records for linked text sets

  1. LOTUS: Adaptive text search for big linked data

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

    2016-01-01

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

  2. Building Background Knowledge through Reading: Rethinking Text Sets

    Lupo, Sarah M.; Strong, John Z.; Lewis, William; Walpole, Sharon; McKenna, Michael C.

    2018-01-01

    To increase reading volume and help students access challenging texts, the authors propose a four-dimensional framework for text sets. The quad text set framework is designed around a target text: a challenging content area text, such as a canonical literary work, research article, or historical primary source document. The three remaining…

  3. The Link between Text Difficulty, Reading Speed and Exploration of Printed Text during Shared Book Reading

    Roy-Charland, Annie; Perron, Melanie; Turgeon, Krystle-Lee; Hoffman, Nichola; Chamberland, Justin A.

    2016-01-01

    In the current study the reading speed of the narration and the difficulty of the text was manipulated and links were explored with children's attention to the printed text in shared book reading. Thirty-nine children (24 grade 1 and 15 grade 2) were presented easy and difficult books at slow (syllable by syllable) or fast (adult reading speed)…

  4. Text mining meets workflow: linking U-Compare with Taverna

    Kano, Yoshinobu; Dobson, Paul; Nakanishi, Mio; Tsujii, Jun'ichi; Ananiadou, Sophia

    2010-01-01

    Summary: Text mining from the biomedical literature is of increasing importance, yet it is not easy for the bioinformatics community to create and run text mining workflows due to the lack of accessibility and interoperability of the text mining resources. The U-Compare system provides a wide range of bio text mining resources in a highly interoperable workflow environment where workflows can very easily be created, executed, evaluated and visualized without coding. We have linked U-Compare to Taverna, a generic workflow system, to expose text mining functionality to the bioinformatics community. Availability: http://u-compare.org/taverna.html, http://u-compare.org Contact: kano@is.s.u-tokyo.ac.jp Supplementary information: Supplementary data are available at Bioinformatics online. PMID:20709690

  5. BioNames: linking taxonomy, texts, and trees

    Roderic D.M. Page

    2013-10-01

    Full Text Available BioNames is a web database of taxonomic names for animals, linked to the primary literature and, wherever possible, to phylogenetic trees. It aims to provide a taxonomic “dashboard” where at a glance we can see a summary of the taxonomic and phylogenetic information we have for a given taxon and hence provide a quick answer to the basic question “what is this taxon?” BioNames combines classifications from the Global Biodiversity Information Facility (GBIF and GenBank, images from the Encyclopedia of Life (EOL, animal names from the Index of Organism Names (ION, and bibliographic data from multiple sources including the Biodiversity Heritage Library (BHL and CrossRef. The user interface includes display of full text articles, interactive timelines of taxonomic publications, and zoomable phylogenies. It is available at http://bionames.org.

  6. VideoSET: Video Summary Evaluation through Text

    Yeung, Serena; Fathi, Alireza; Fei-Fei, Li

    2014-01-01

    In this paper we present VideoSET, a method for Video Summary Evaluation through Text that can evaluate how well a video summary is able to retain the semantic information contained in its original video. We observe that semantics is most easily expressed in words, and develop a text-based approach for the evaluation. Given a video summary, a text representation of the video summary is first generated, and an NLP-based metric is then used to measure its semantic distance to ground-truth text ...

  7. Polish Phoneme Statistics Obtained On Large Set Of Written Texts

    Bartosz Ziółko

    2009-01-01

    Full Text Available The phonetical statistics were collected from several Polish corpora. The paper is a summaryof the data which are phoneme n-grams and some phenomena in the statistics. Triphonestatistics apply context-dependent speech units which have an important role in speech recognitionsystems and were never calculated for a large set of Polish written texts. The standardphonetic alphabet for Polish, SAMPA, and methods of providing phonetic transcriptions are described.

  8. Courageous Voices: Using Text Sets to Inspire Change

    Tracy, Kelly N.; Menickelli, Kristin; Scales, Roya Q.

    2017-01-01

    This article describes how one teacher immersed her sixth graders in an intensive three-week thematic text set unit centered on courage. Her aim was to help students discover and take action on issues that mattered to them as they learned important literacy skills and strategies. Students engaged in significant reading, writing, and discussion as…

  9. Using Semantic Linking to Understand Persons’ Networks Extracted from Text

    Alessio Palmero Aprosio

    2017-11-01

    Full Text Available In this work, we describe a methodology to interpret large persons’ networks extracted from text by classifying cliques using the DBpedia ontology. The approach relies on a combination of NLP, Semantic web technologies, and network analysis. The classification methodology that first starts from single nodes and then generalizes to cliques is effective in terms of performance and is able to deal also with nodes that are not linked to Wikipedia. The gold standard manually developed for evaluation shows that groups of co-occurring entities share in most of the cases a category that can be automatically assigned. This holds for both languages considered in this study. The outcome of this work may be of interest to enhance the readability of large networks and to provide an additional semantic layer on top of cliques. This would greatly help humanities scholars when dealing with large amounts of textual data that need to be interpreted or categorized. Furthermore, it represents an unsupervised approach to automatically extend DBpedia starting from a corpus.

  10. On the Creation of Hypertext Links in Full-Text Documents: Measurement of Inter-Linker Consistency.

    Ellis, David; And Others

    1994-01-01

    Describes a study in which several different sets of hypertext links are inserted by different people in full-text documents. The degree of similarity between the sets is measured using coefficients and topological indices. As in comparable studies of inter-indexer consistency, the sets of links used by different people showed little similarity.…

  11. Linking Video and Text via Representations of Narrative

    Salway, Andrew; Graham, Mike; Tomadaki, Eleftheria; Xu, Yan

    2003-01-01

    The ongoing TIWO project is investigating the synthesis of language technologies, like information extraction and corpus-based text analysis, video data modeling and knowledge representation. The aim is to develop a computational account of how video and text can be integrated by representations of narrative in multimedia systems. The multimedia domain is that of film and audio description – an emerging text type that is produced specifically to be informative about the events and objects dep...

  12. Children's Text Messaging: Abbreviations, Input Methods and Links with Literacy

    Kemp, N.; Bushnell, C.

    2011-01-01

    This study investigated the effects of mobile phone text-messaging method (predictive and multi-press) and experience (in texters and non-texters) on children's textism use and understanding. It also examined popular claims that the use of text-message abbreviations, or "textese" spelling, is associated with poor literacy skills. A sample of 86…

  13. Semantic Linking and Contextualization for Social Forensic Text Analysis

    Ren, Z.; van Dijk, D.; Graus, D.; van der Knaap, N.; Henseler, H.; de Rijke, M.; Brynielsson, J.; Johansson, F.

    2013-01-01

    With the development of social media, forensic text analysis is becoming more and more challenging as forensic analysts have begun to include this information source in their practice. In this paper, we report on our recent work related to semantic search in e-discovery and propose the use of entity

  14. Seqenv: linking sequences to environments through text mining

    Sinclair, L.; Ijaz, U.Z.; Jensen, L.J.; Coolen, M.J.L.; Gubry-Rangin, C.; Chroňáková, Alica; Oulas, A.; Pavloudi, Ch.; Schnetzer, J.; Weimann, A.; Ijaz, A.; Eiler, A.; Quince, Ch.; Pafilis, E.

    2016-01-01

    Roč. 4, December (2016), č. článku e2690. ISSN 2167-8359 Institutional support: RVO:60077344 Keywords : bioinformatics * ecology * microbiology * genomics * sequence analysis * text processing Subject RIV: EH - Ecology, Behaviour Impact factor: 2.177, year: 2016

  15. Seqenv: linking sequences to environments through text mining

    Lucas Sinclair

    2016-12-01

    Full Text Available Understanding the distribution of taxa and associated traits across different environments is one of the central questions in microbial ecology. High-throughput sequencing (HTS studies are presently generating huge volumes of data to address this biogeographical topic. However, these studies are often focused on specific environment types or processes leading to the production of individual, unconnected datasets. The large amounts of legacy sequence data with associated metadata that exist can be harnessed to better place the genetic information found in these surveys into a wider environmental context. Here we introduce a software program, seqenv, to carry out precisely such a task. It automatically performs similarity searches of short sequences against the “nt” nucleotide database provided by NCBI and, out of every hit, extracts–if it is available–the textual metadata field. After collecting all the isolation sources from all the search results, we run a text mining algorithm to identify and parse words that are associated with the Environmental Ontology (EnvO controlled vocabulary. This, in turn, enables us to determine both in which environments individual sequences or taxa have previously been observed and, by weighted summation of those results, to summarize complete samples. We present two demonstrative applications of seqenv to a survey of ammonia oxidizing archaea as well as to a plankton paleome dataset from the Black Sea. These demonstrate the ability of the tool to reveal novel patterns in HTS and its utility in the fields of environmental source tracking, paleontology, and studies of microbial biogeography. To install seqenv, go to: https://github.com/xapple/seqenv.

  16. Set of Frequent Word Item sets as Feature Representation for Text with Indonesian Slang

    Sa'adillah Maylawati, Dian; Putri Saptawati, G. A.

    2017-01-01

    Indonesian slang are commonly used in social media. Due to their unstructured syntax, it is difficult to extract their features based on Indonesian grammar for text mining. To do so, we propose Set of Frequent Word Item sets (SFWI) as text representation which is considered match for Indonesian slang. Besides, SFWI is able to keep the meaning of Indonesian slang with regard to the order of appearance sentence. We use FP-Growth algorithm with adding separation sentence function into the algorithm to extract the feature of SFWI. The experiments is done with text data from social media such as Facebook, Twitter, and personal website. The result of experiments shows that Indonesian slang were more correctly interpreted based on SFWI.

  17. Seqenv: linking sequences to environments through text mining.

    Sinclair, Lucas; Ijaz, Umer Z; Jensen, Lars Juhl; Coolen, Marco J L; Gubry-Rangin, Cecile; Chroňáková, Alica; Oulas, Anastasis; Pavloudi, Christina; Schnetzer, Julia; Weimann, Aaron; Ijaz, Ali; Eiler, Alexander; Quince, Christopher; Pafilis, Evangelos

    2016-01-01

    Understanding the distribution of taxa and associated traits across different environments is one of the central questions in microbial ecology. High-throughput sequencing (HTS) studies are presently generating huge volumes of data to address this biogeographical topic. However, these studies are often focused on specific environment types or processes leading to the production of individual, unconnected datasets. The large amounts of legacy sequence data with associated metadata that exist can be harnessed to better place the genetic information found in these surveys into a wider environmental context. Here we introduce a software program, seqenv, to carry out precisely such a task. It automatically performs similarity searches of short sequences against the "nt" nucleotide database provided by NCBI and, out of every hit, extracts-if it is available-the textual metadata field. After collecting all the isolation sources from all the search results, we run a text mining algorithm to identify and parse words that are associated with the Environmental Ontology (EnvO) controlled vocabulary. This, in turn, enables us to determine both in which environments individual sequences or taxa have previously been observed and, by weighted summation of those results, to summarize complete samples. We present two demonstrative applications of seqenv to a survey of ammonia oxidizing archaea as well as to a plankton paleome dataset from the Black Sea. These demonstrate the ability of the tool to reveal novel patterns in HTS and its utility in the fields of environmental source tracking, paleontology, and studies of microbial biogeography. To install seqenv, go to: https://github.com/xapple/seqenv.

  18. Search across Different Media: Numeric Data Sets and Text Files

    Michael Buckland

    2006-12-01

    Full Text Available Digital technology encourages the hope of searching across and between different media forms (text, sound, image, numeric data. Topic searches are described in two different media: text files and socioeconomic numeric databases and also for transverse searching, whereby retrieved text is used to find topically related numeric data and vice versa. Direct transverse searching across different media is impossible. Descriptive metadata provide enabling infrastructure, but usually require mappings between different vocabularies and a search-term recommender system. Statistical association techniques and natural-language processing can help. Searches in socioeconomic numeric databases ordinarily require that place and time be specified.

  19. Improving text comprehension strategies in reading and listening settings

    Brand-Gruwel, S; Aarnoutse, CAJ; van den Bos, KP

    Traditional intervention programs for children with decoding and reading comprehension problems often focus on remediation of the decoding ability. The goal of this study was to determine whether it is possible to teach these children text comprehension strategies. The subjects were fourth-grade

  20. REDEN: Named Entity Linking in Digital Literary Editions Using Linked Data Sets

    Carmen Brando

    2016-07-01

    Full Text Available This paper proposes a graph-based Named Entity Linking (NEL algorithm named REDEN for the disambiguation of authors’ names in French literary criticism texts and scientific essays from the 19th and early 20th centuries. The algorithm is described and evaluated according to the two phases of NEL as reported in current state of the art, namely, candidate retrieval and candidate selection. REDEN leverages knowledge from different Linked Data sources in order to select candidates for each author mention, subsequently crawls data from other Linked Data sets using equivalence links (e.g., owl:sameAs, and, finally, fuses graphs of homologous individuals into a non-redundant graph well-suited for graph centrality calculation; the resulting graph is used for choosing the best referent. The REDEN algorithm is distributed in open-source and follows current standards in digital editions (TEI and semantic Web (RDF. Its integration into an editorial workflow of digital editions in Digital humanities and cultural heritage projects is entirely plausible. Experiments are conducted along with the corresponding error analysis in order to test our approach and to help us to study the weaknesses and strengths of our algorithm, thereby to further improvements of REDEN.

  1. Do Fitness Apps Need Text Reminders? An Experiment Testing Goal-Setting Text Message Reminders to Promote Self-Monitoring.

    Liu, Shuang; Willoughby, Jessica F

    2018-01-01

    Fitness tracking apps have the potential to change unhealthy lifestyles, but users' lack of compliance is an issue. The current intervention examined the effectiveness of using goal-setting theory-based text message reminders to promote tracking activities on fitness apps. We conducted a 2-week experiment with pre- and post-tests with young adults (n = 50). Participants were randomly assigned to two groups-a goal-setting text message reminder group and a generic text message reminder group. Participants were asked to use a fitness tracking app to log physical activity and diet for the duration of the study. Participants who received goal-setting reminders logged significantly more physical activities than those who only received generic reminders. Further, participants who received goal-setting reminders liked the messages and showed significantly increased self-efficacy, awareness of personal goals, motivation, and intention to use the app. The study shows that incorporating goal-setting theory-based text message reminders can be useful to boost user compliance with self-monitoring fitness apps by reinforcing users' personal goals and enhancing cognitive factors associated with health behavior change.

  2. Database citation in supplementary data linked to Europe PubMed Central full text biomedical articles.

    Kafkas, Şenay; Kim, Jee-Hyub; Pi, Xingjun; McEntyre, Johanna R

    2015-01-01

    In this study, we present an analysis of data citation practices in full text research articles and their corresponding supplementary data files, made available in the Open Access set of articles from Europe PubMed Central. Our aim is to investigate whether supplementary data files should be considered as a source of information for integrating the literature with biomolecular databases. Using text-mining methods to identify and extract a variety of core biological database accession numbers, we found that the supplemental data files contain many more database citations than the body of the article, and that those citations often take the form of a relatively small number of articles citing large collections of accession numbers in text-based files. Moreover, citation of value-added databases derived from submission databases (such as Pfam, UniProt or Ensembl) is common, demonstrating the reuse of these resources as datasets in themselves. All the database accession numbers extracted from the supplementary data are publicly accessible from http://dx.doi.org/10.5281/zenodo.11771. Our study suggests that supplementary data should be considered when linking articles with data, in curation pipelines, and in information retrieval tasks in order to make full use of the entire research article. These observations highlight the need to improve the management of supplemental data in general, in order to make this information more discoverable and useful.

  3. A Review Paper On Exploring Text Link And Spacial-Temporal Information In Social Media Networks

    Dr. Mamta Madan

    2015-03-01

    Full Text Available ABSTRACT The objective of this paper is to have a literature review on the various methods to mine the knowledge from the social media by taking advantage of embedded heterogeneous information. Specifically we are trying to review different types of mining framework which provides us useful information from these networks that have heterogeneous data types including text spacial-temporal and data association LINK information. Firstly we will discuss the link mining to study the link structure with respect to Social Media SM. Secondly we summarize the various text mining models thirdly we shall review spacial as well the temporal models to extract or detect the frequent related topics from SM. Fourthly we will try to figure out few improvised models that take advantage of the link textual temporal and spacial information which motivates to discover progressive principles and fresh methodologies for DM Data Mining in social media networks SMNs.

  4. Around the World in 80 Picture Books: Teaching Ancient Civilizations through Text Sets

    Batchelor, Katherine E.

    2017-01-01

    The purpose of this article is to introduce text sets of picture books that address 10 ancient civilizations commonly taught in middle school and also offer instructional strategies that could be used for critical and multicultural literacy exploration. Beginning with discussion of the importance of picture books and text sets in the middle school…

  5. A Text Matching Method to Facilitate the Validation of Frequent Order Sets Obtained Through Data Mining

    Che, Chengjian; Rocha, Roberto A.

    2006-01-01

    In order to compare order sets discovered using a data mining algorithm with existing order sets, we developed an order matching tool based on Oracle Text. The tool includes both automated searching and manual review processes. The comparison between the automated process and the manual review process indicates that the sensitivity of the automated matching is 81% and the specificity is 84%.

  6. Using Gazetteers to Extract Sets of Keywords from Free-Flowing Texts

    Adam Crymble

    2015-12-01

    Full Text Available If you have a copy of a text in electronic format stored on your computer, it is relatively easy to keyword search for a single term. Often you can do this by using the built-in search features in your favourite text editor. However, scholars are increasingly needing to find instances of many terms within a text or texts. For example, a scholar may want to use a gazetteer to extract all mentions of English placenames within a collection of texts so that those places can later be plotted on a map. Alternatively, they may want to extract all male given names, all pronouns, stop words, or any other set of words. Using those same built-in search features to achieve this more complex goal is time consuming and clunky. This lesson will teach you how to use Python to extract a set of keywords very quickly and systematically from a set of texts. It is expected that once you have completed this lesson, you will be able to generalise the skills to extract custom sets of keywords from any set of locally saved files.

  7. Text categorization of biomedical data sets using graph kernels and a controlled vocabulary.

    Bleik, Said; Mishra, Meenakshi; Huan, Jun; Song, Min

    2013-01-01

    Recently, graph representations of text have been showing improved performance over conventional bag-of-words representations in text categorization applications. In this paper, we present a graph-based representation for biomedical articles and use graph kernels to classify those articles into high-level categories. In our representation, common biomedical concepts and semantic relationships are identified with the help of an existing ontology and are used to build a rich graph structure that provides a consistent feature set and preserves additional semantic information that could improve a classifier's performance. We attempt to classify the graphs using both a set-based graph kernel that is capable of dealing with the disconnected nature of the graphs and a simple linear kernel. Finally, we report the results comparing the classification performance of the kernel classifiers to common text-based classifiers.

  8. Permanent Set of Cross-Linking Networks: Comparison of Theory with Molecular Dynamics Simulations

    Rottach, Dana R.; Curro, John G.; Budzien, Joanne

    2006-01-01

    The permanent set of cross-linking networks is studied by molecular dynamics. The uniaxial stress for a bead-spring polymer network is investigated as a function of strain and cross-link density history, where cross-links are introduced in unstrained and strained networks. The permanent set...

  9. A Relation Extraction Framework for Biomedical Text Using Hybrid Feature Set

    Abdul Wahab Muzaffar

    2015-01-01

    Full Text Available The information extraction from unstructured text segments is a complex task. Although manual information extraction often produces the best results, it is harder to manage biomedical data extraction manually because of the exponential increase in data size. Thus, there is a need for automatic tools and techniques for information extraction in biomedical text mining. Relation extraction is a significant area under biomedical information extraction that has gained much importance in the last two decades. A lot of work has been done on biomedical relation extraction focusing on rule-based and machine learning techniques. In the last decade, the focus has changed to hybrid approaches showing better results. This research presents a hybrid feature set for classification of relations between biomedical entities. The main contribution of this research is done in the semantic feature set where verb phrases are ranked using Unified Medical Language System (UMLS and a ranking algorithm. Support Vector Machine and Naïve Bayes, the two effective machine learning techniques, are used to classify these relations. Our approach has been validated on the standard biomedical text corpus obtained from MEDLINE 2001. Conclusively, it can be articulated that our framework outperforms all state-of-the-art approaches used for relation extraction on the same corpus.

  10. Chemical Topic Modeling: Exploring Molecular Data Sets Using a Common Text-Mining Approach.

    Schneider, Nadine; Fechner, Nikolas; Landrum, Gregory A; Stiefl, Nikolaus

    2017-08-28

    Big data is one of the key transformative factors which increasingly influences all aspects of modern life. Although this transformation brings vast opportunities it also generates novel challenges, not the least of which is organizing and searching this data deluge. The field of medicinal chemistry is not different: more and more data are being generated, for instance, by technologies such as DNA encoded libraries, peptide libraries, text mining of large literature corpora, and new in silico enumeration methods. Handling those huge sets of molecules effectively is quite challenging and requires compromises that often come at the expense of the interpretability of the results. In order to find an intuitive and meaningful approach to organizing large molecular data sets, we adopted a probabilistic framework called "topic modeling" from the text-mining field. Here we present the first chemistry-related implementation of this method, which allows large molecule sets to be assigned to "chemical topics" and investigating the relationships between those. In this first study, we thoroughly evaluate this novel method in different experiments and discuss both its disadvantages and advantages. We show very promising results in reproducing human-assigned concepts using the approach to identify and retrieve chemical series from sets of molecules. We have also created an intuitive visualization of the chemical topics output by the algorithm. This is a huge benefit compared to other unsupervised machine-learning methods, like clustering, which are commonly used to group sets of molecules. Finally, we applied the new method to the 1.6 million molecules of the ChEMBL22 data set to test its robustness and efficiency. In about 1 h we built a 100-topic model of this large data set in which we could identify interesting topics like "proteins", "DNA", or "steroids". Along with this publication we provide our data sets and an open-source implementation of the new method (CheTo) which

  11. Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources.

    Kocbek, Simon; Cavedon, Lawrence; Martinez, David; Bain, Christopher; Manus, Chris Mac; Haffari, Gholamreza; Zukerman, Ingrid; Verspoor, Karin

    2016-12-01

    Text and data mining play an important role in obtaining insights from Health and Hospital Information Systems. This paper presents a text mining system for detecting admissions marked as positive for several diseases: Lung Cancer, Breast Cancer, Colon Cancer, Secondary Malignant Neoplasm of Respiratory and Digestive Organs, Multiple Myeloma and Malignant Plasma Cell Neoplasms, Pneumonia, and Pulmonary Embolism. We specifically examine the effect of linking multiple data sources on text classification performance. Support Vector Machine classifiers are built for eight data source combinations, and evaluated using the metrics of Precision, Recall and F-Score. Sub-sampling techniques are used to address unbalanced datasets of medical records. We use radiology reports as an initial data source and add other sources, such as pathology reports and patient and hospital admission data, in order to assess the research question regarding the impact of the value of multiple data sources. Statistical significance is measured using the Wilcoxon signed-rank test. A second set of experiments explores aspects of the system in greater depth, focusing on Lung Cancer. We explore the impact of feature selection; analyse the learning curve; examine the effect of restricting admissions to only those containing reports from all data sources; and examine the impact of reducing the sub-sampling. These experiments provide better understanding of how to best apply text classification in the context of imbalanced data of variable completeness. Radiology questions plus patient and hospital admission data contribute valuable information for detecting most of the diseases, significantly improving performance when added to radiology reports alone or to the combination of radiology and pathology reports. Overall, linking data sources significantly improved classification performance for all the diseases examined. However, there is no single approach that suits all scenarios; the choice of the

  12. The utility of imputed matched sets. Analyzing probabilistically linked databases in a low information setting.

    Thomas, A M; Cook, L J; Dean, J M; Olson, L M

    2014-01-01

    To compare results from high probability matched sets versus imputed matched sets across differing levels of linkage information. A series of linkages with varying amounts of available information were performed on two simulated datasets derived from multiyear motor vehicle crash (MVC) and hospital databases, where true matches were known. Distributions of high probability and imputed matched sets were compared against the true match population for occupant age, MVC county, and MVC hour. Regression models were fit to simulated log hospital charges and hospitalization status. High probability and imputed matched sets were not significantly different from occupant age, MVC county, and MVC hour in high information settings (p > 0.999). In low information settings, high probability matched sets were significantly different from occupant age and MVC county (p sets were not (p > 0.493). High information settings saw no significant differences in inference of simulated log hospital charges and hospitalization status between the two methods. High probability and imputed matched sets were significantly different from the outcomes in low information settings; however, imputed matched sets were more robust. The level of information available to a linkage is an important consideration. High probability matched sets are suitable for high to moderate information settings and for situations involving case-specific analysis. Conversely, imputed matched sets are preferable for low information settings when conducting population-based analyses.

  13. Inclusive Classrooms for LGBTQ Students: Using Linked Text Sets to Challenge the Hegemonic "Single Story"

    Dodge, Autumn M.; Crutcher, Paul A.

    2015-01-01

    As teachers, it is important that we grapple with the reality that schools, teachers, and the larger social institutions that impact us are never neutral. Scholars explain that the starting place for teachers who want to enact practices for social justice and to disrupt harmful "single stories" is to read LGBTQ titles and consider how…

  14. Text-Messaging Practices and Links to General Spelling Skill: A Study of Australian Children

    Bushnell, Catherine; Kemp, Nenagh; Martin, Frances Heritage

    2011-01-01

    This study investigated 10- to 12-year-old Australian children's text-messaging practices and their relationship to traditional spelling ability. Of the 227 children tested, 82% reported sending text-messages; a median of 5 per day. Use of predictive and multi-press entry methods was roughly equal. Children produced a wide range of text-message…

  15. Full-Text Linking: Affiliated versus Nonaffiliated Access in a Free Database.

    Grogg, Jill E.; Andreadis, Debra K.; Kirk, Rachel A.

    2002-01-01

    Presents a comparison of access to full-text articles from a free bibliographic database (PubSCIENCE) for affiliated and unaffiliated users. Found that affiliated users had access to more full-text articles than unaffiliated users had, and that both types of users could increase their level of access through additional searching and greater…

  16. The link between texting and motor vehicle collision frequency in the orthopaedic trauma population

    Neil M. Issar

    2013-07-01

    Full Text Available BACKGROUND: This study will evaluate whether or not texting frequency while driving and/or texting frequency in general are associated with an increased risk of incurring a motor vehicle collision (MVC resulting in orthopaedic trauma injuries. METHODS: All patients who presented to the Vanderbilt University Medical Center Orthopaedic Trauma Clinic were administered a questionnaire to determine background information, mean phone use, texting frequency, texting frequency while driving, and whether or not the injury was the result of an MVC in which the patient was driving. RESULTS: 237 questionnaires were collected. 60 were excluded due to incomplete date, leaving 57 questionnaires in the MVC group and 120 from patients with non-MVC injuries. Patients who sent more than 30 texts per week (“heavy texters” were 2.22 times more likely to be involved in an MVC than those who texted less frequently. 84% of respondents claimed to never text while driving. Dividing the sample into subsets on the basis of age (25 years of age or below considered “young adult,” and above 25 years of age considered “adult”,young, heavy texters were 6.76 times more likely to be involved in an MVC than adult non-heavy texters (p = 0.000. Similarly, young adult, non-heavy texters were 6.65 (p = 0.005 times more likely to be involved in an MVC, and adult, heavy texters were 1.72 (p = 0.186 times more likely to be involved in an MVC. CONCLUSIONS: Patients injured in an MVC sent more text messages per week than non-MVC patients. Additionally, controlling for age demonstrated that young age and heavy general texting frequency combined had the highest increase in MVC risk, with the former being the variable of greatest effect

  17. Use of a New Set of Linguistic Features to Improve Automatic Assessment of Text Readability

    Yoshimi, Takehiko; Kotani, Katsunori; Isahara, Hitoshi

    2012-01-01

    The present paper proposes and evaluates a readability assessment method designed for Japanese learners of EFL (English as a foreign language). The proposed readability assessment method is constructed by a regression algorithm using a new set of linguistic features that were employed separately in previous studies. The results showed that the…

  18. Multi-link faults localization and restoration based on fuzzy fault set for dynamic optical networks.

    Zhao, Yongli; Li, Xin; Li, Huadong; Wang, Xinbo; Zhang, Jie; Huang, Shanguo

    2013-01-28

    Based on a distributed method of bit-error-rate (BER) monitoring, a novel multi-link faults restoration algorithm is proposed for dynamic optical networks. The concept of fuzzy fault set (FFS) is first introduced for multi-link faults localization, which includes all possible optical equipment or fiber links with a membership describing the possibility of faults. Such a set is characterized by a membership function which assigns each object a grade of membership ranging from zero to one. OSPF protocol extension is designed for the BER information flooding in the network. The BER information can be correlated to link faults through FFS. Based on the BER information and FFS, multi-link faults localization mechanism and restoration algorithm are implemented and experimentally demonstrated on a GMPLS enabled optical network testbed with 40 wavelengths in each fiber link. Experimental results show that the novel localization mechanism has better performance compared with the extended limited perimeter vector matching (LVM) protocol and the restoration algorithm can improve the restoration success rate under multi-link faults scenario.

  19. Improving patient health engagement with mobile texting: A pilot study in the head and neck postoperative setting.

    Sosa, Alan; Heineman, Nathan; Thomas, Kimberly; Tang, Kai; Feinstein, Marie; Martin, Michelle Y; Sumer, Baran; Schwartz, David L

    2017-05-01

    Cell phone ownership is nearly universal. Messaging is one of its most widely used features. Texting-based interventions may improve patient engagement in the postoperative setting, but remain understudied. Patients were recruited before discharge from the hospital and received automated daily texts for 1 week providing information about expected recovery. Patients were encouraged to text questions to providers, which were triaged for intervention. Web-based surveys solicited patient feedback about the platform. Thirty-two patients were approached, and 23 patients (72%) were enrolled in the study. All study patients texted their providers, although frequency (median, 7 texts; range, 2-44 texts) varied. Unmarried patients and those facing surgical complications used the platform more frequently. Mean patient satisfaction with the platform was high (mean, 3.8 on a 4-point Likert scale). Text messaging seems feasible in the acute postoperative setting and potentially improves engagement of patients with head and neck cancer. Further study is warranted to confirm scalability and impact. © 2017 Wiley Periodicals, Inc. Head Neck 39: 988-995, 2017. © 2017 Wiley Periodicals, Inc.

  20. Combining QSAR Modeling and Text-Mining Techniques to Link Chemical Structures and Carcinogenic Modes of Action.

    Papamokos, George; Silins, Ilona

    2016-01-01

    There is an increasing need for new reliable non-animal based methods to predict and test toxicity of chemicals. Quantitative structure-activity relationship (QSAR), a computer-based method linking chemical structures with biological activities, is used in predictive toxicology. In this study, we tested the approach to combine QSAR data with literature profiles of carcinogenic modes of action automatically generated by a text-mining tool. The aim was to generate data patterns to identify associations between chemical structures and biological mechanisms related to carcinogenesis. Using these two methods, individually and combined, we evaluated 96 rat carcinogens of the hematopoietic system, liver, lung, and skin. We found that skin and lung rat carcinogens were mainly mutagenic, while the group of carcinogens affecting the hematopoietic system and the liver also included a large proportion of non-mutagens. The automatic literature analysis showed that mutagenicity was a frequently reported endpoint in the literature of these carcinogens, however, less common endpoints such as immunosuppression and hormonal receptor-mediated effects were also found in connection with some of the carcinogens, results of potential importance for certain target organs. The combined approach, using QSAR and text-mining techniques, could be useful for identifying more detailed information on biological mechanisms and the relation with chemical structures. The method can be particularly useful in increasing the understanding of structure and activity relationships for non-mutagens.

  1. Combining QSAR Modeling and Text-Mining Techniques to Link Chemical Structures and Carcinogenic Modes of Action

    Papamokos, George; Silins, Ilona

    2016-01-01

    There is an increasing need for new reliable non-animal based methods to predict and test toxicity of chemicals. Quantitative structure-activity relationship (QSAR), a computer-based method linking chemical structures with biological activities, is used in predictive toxicology. In this study, we tested the approach to combine QSAR data with literature profiles of carcinogenic modes of action automatically generated by a text-mining tool. The aim was to generate data patterns to identify associations between chemical structures and biological mechanisms related to carcinogenesis. Using these two methods, individually and combined, we evaluated 96 rat carcinogens of the hematopoietic system, liver, lung, and skin. We found that skin and lung rat carcinogens were mainly mutagenic, while the group of carcinogens affecting the hematopoietic system and the liver also included a large proportion of non-mutagens. The automatic literature analysis showed that mutagenicity was a frequently reported endpoint in the literature of these carcinogens, however, less common endpoints such as immunosuppression and hormonal receptor-mediated effects were also found in connection with some of the carcinogens, results of potential importance for certain target organs. The combined approach, using QSAR and text-mining techniques, could be useful for identifying more detailed information on biological mechanisms and the relation with chemical structures. The method can be particularly useful in increasing the understanding of structure and activity relationships for non-mutagens. PMID:27625608

  2. Papilledema in the Setting of X-Linked Hypophosphatemic Rickets with Craniosynostosis

    Lora R. Dagi Glass

    2011-12-01

    Full Text Available Purpose: Introduction to the ophthalmic literature of an unusual cause of papilledema and subsequent optic atrophy: X-linked hypophosphatemic rickets (XLH. Methods: Case report of a 3-year-old female presenting with papilledema resulting from craniosynostosis secondary to XLH. Results: Early intervention with craniofacial surgery prevented the development of optic atrophy. Conclusion: Children with XLH should be screened for ophthalmic evidence of elevated intracranial pressure to aid early intervention and prevention of permanent loss of vision.

  3. Does the Arrangement of Embedded Text versus Linked Text in Homework Systems Make a Difference in Students Impressions, Attitudes, and Perceived Learning?

    Zumalt, Caitlin J.; Williamson, Vickie M.

    2016-01-01

    Students in a first-semester general chemistry course at a large southwestern university completed a 3-week homework assignment using MindTap, a Cengage Learning product. MindTap is the first major electronic system that has homework questions embedded in the text, such that students read a short section of the textbook and then answer a question…

  4. The construction of combinatorial manifolds with prescribed sets of links of vertices

    Gaifullin, A A

    2008-01-01

    To every oriented closed combinatorial manifold we assign the set (with repetitions) of isomorphism classes of links of its vertices. The resulting transformation L is the main object of study in this paper. We pose an inversion problem for L and show that this problem is closely related to Steenrod's problem on the realization of cycles and to the Rokhlin-Schwartz-Thom construction of combinatorial Pontryagin classes. We obtain a necessary condition for a set of isomorphism classes of combinatorial spheres to belong to the image of L. (Sets satisfying this condition are said to be balanced.) We give an explicit construction showing that every balanced set of isomorphism classes of combinatorial spheres falls into the image of L after passing to a multiple set and adding several pairs of the form (Z,-Z), where -Z is the sphere Z with the orientation reversed. Given any singular simplicial cycle ξ of a space X, this construction enables us to find explicitly a combinatorial manifold M and a map φ:M→X such that φ * [M]=r[ξ] for some positive integer r. The construction is based on resolving singularities of ξ. We give applications of the main construction to cobordisms of manifolds with singularities and cobordisms of simple cells. In particular, we prove that every rational additive invariant of cobordisms of manifolds with singularities admits a local formula. Another application is the construction of explicit (though inefficient) local combinatorial formulae for polynomials in the rational Pontryagin classes of combinatorial manifolds

  5. Thirteen million years of silicic magma production in Iceland: Links between petrogenesis and tectonic settings

    Martin, E.; Sigmarsson, O.

    2010-04-01

    The origin of the Quaternary silicic rocks in Iceland is thought to be linked to the thermal state of the crust, which in turn depends on the regional tectonic settings. This simple model is tested here on rocks from the Miocene to present, both to suggest an internally consistent model for silicic magma formation in Iceland and to constrain the link between tectonic settings and silicic magma petrogenesis. New major and trace-element compositions together with O-, Sr- and Nd-isotope ratios have been obtained on silicic rocks from 19 volcanic systems ranging in age from 13 Ma to present. This allows us to trace the spatial and temporal evolution of both magma generation and the corresponding sources. Low δ18O (geothermal gradient. But later than 5.5 Ma they were produced in a flank zone environment by fractional crystallisation alone, probably due to decreasing geothermal gradient, of basalts derived from a mantle source with lower 143Nd/ 144Nd. This is in agreement with an eastwards rift-jump, from Snæfellsnes towards the present Reykjanes Rift Zone, between 7 and 5.5 Ma. In the South Iceland Volcanic Zone (SIVZ), the intermediate Nd-signature observed in silicic rocks from the Torfajökull central volcano reflects the transitional character of the basalts erupted at this propagating rift segment. Therefore, the abundant evolved rocks at this major silicic complex result from partial melting of the transitional alkaline basaltic crust (Iceland can, therefore, be used for deciphering past geodynamic settings characterized by rift- and off-rift zones resulting from interaction of a mantle plume and divergent plate boundaries.

  6. Exploring the SDSS Data Set with Linked Scatter Plots. I. EMP, CEMP, and CV Stars

    Carbon, Duane F.; Henze, Christopher; Nelson, Bron C., E-mail: Duane.F.Carbon@nasa.gov [NASA Ames Research Center, NASA Advanced Supercomputing Facility, Moffett Field, CA, 94035-1000 (United States)

    2017-02-01

    We present the results of a search for extremely metal-poor (EMP), carbon-enhanced metal-poor (CEMP), and cataclysmic variable (CV) stars using a new exploration tool based on linked scatter plots (LSPs). Our approach is especially designed to work with very large spectrum data sets such as the SDSS, LAMOST, RAVE, and Gaia data sets, and it can be applied to stellar, galaxy, and quasar spectra. As a demonstration, we conduct our search using the SDSS DR10 data set. We first created a 3326-dimensional phase space containing nearly 2 billion measures of the strengths of over 1600 spectral features in 569,738 SDSS stars. These measures capture essentially all the stellar atomic and molecular species visible at the resolution of SDSS spectra. We show how LSPs can be used to quickly isolate and examine interesting portions of this phase space. To illustrate, we use LSPs coupled with cuts in selected portions of phase space to extract EMP stars, CEMP stars, and CV stars. We present identifications for 59 previously unrecognized candidate EMP stars and 11 previously unrecognized candidate CEMP stars. We also call attention to 2 candidate He ii emission CV stars found by the LSP approach that have not yet been discussed in the literature.

  7. Infant Mortality Statistics From the 2013 Period Linked Birth/Infant Death Data Set.

    Matthews, T J; MacDorman, Marian F; Thoma, Marie E

    2015-08-06

    This report presents 2013 period infant mortality statistics from the linked birth/infant death data set (linked file) by maternal and infant characteristics. The linked file differs from the mortality file, which is based entirely on death certificate data. Descriptive tabulations of data are presented and interpreted. The U.S. infant mortality rate was 5.96 infant deaths per 1,000 live births in 2013, similar to the rate of 5.98 in 2012. The number of infant deaths was 23,446 in 2013, a decline of 208 infant deaths from 2012. From 2012 to 2013, infant mortality rates were stable for most race and Hispanic origin groups; declines were reported for two Hispanic subgroups: Cuban and Puerto Rican. Since 2005, the most recent high, the U.S. infant mortality rate has declined 13% (from 6.86), with declines in both neonatal and postneonatal mortality overall and for most groups. In 2013, infants born at 37–38 weeks of gestation (early term) had mortality rates that were 63% higher than for full-term (39–40 week) infants. For multiple births, the infant mortality rate was 25.84, 5 times the rate of 5.25 for singleton births. In 2013, 36% of infant deaths were due to preterm-related causes of death, and an additional 15% were due to causes grouped into the sudden unexpected infant death category. All material appearing in this report is in the public domain and may be reproduced or copied without permission; citation as to source, however, is appreciated.

  8. Enzymatic cross-linking of soy proteins within non-fat set yogurt gel.

    Soleymanpuori, Rana; Madadlou, Ashkan; Zeynali, Fariba; Khosrowshahi, Asghar

    2014-08-01

    Soy proteins as the health-promoting ingredients and candidate fat substitutes in dairy products are good substrates for the cross-linking action of the enzyme transglutaminase. Non-fat set yogurt samples were prepared from the milks enriched with soy protein isolate (SPI) and/or treated with the enzyme transglutaminase. The highest titrable acidity was recorded for the yogurt enriched with SPI and treated with the enzyme throughout the cold storage for 21 d. SPI-enrichment of yogurt milk increased the water holding capacity. Although enrichment with SPI did not influence the count of Streptococcus themophilus, increased that of Lactobacillus bulgaricus ∼3 log cycles. The enzymatic treatment of SPI-enriched milk however, suppressed the bacteria growth-promoting influence of SPI due probably to making the soy proteins inaccessible for Lactobacillus. SPI-enrichment and enzymatic treatment of milk decreased the various organic acids content in yoghurt samples; influence of the former was more significant. The cross-linking of milk proteins to soy proteins was confirmed with the gel electrophoresis results.

  9. What Does TV Viewing Have to Do with Internet Reading?: Readers, Television "Texts", and Intertextual Links to Companion Websites

    Brown, Rachel

    2009-01-01

    A growing number of television programs direct their viewers to access an Internet website for further information on a presented topic. The explicit link between television programs and companion Internet websites, both of which communicate information through multiple modes, can be considered a form of intertextuality. Do college students…

  10. Next-generation text-mining mediated generation of chemical response-specific gene sets for interpretation of gene expression data

    Hettne, K.M.; Boorsma, A.; Dartel, D.A. van; Goeman, J.J.; Jong, E. de; Piersma, A.H.; Stierum, R.H.; Kleinjans, J.C.; Kors, J.A.

    2013-01-01

    BACKGROUND: Availability of chemical response-specific lists of genes (gene sets) for pharmacological and/or toxic effect prediction for compounds is limited. We hypothesize that more gene sets can be created by next-generation text mining (next-gen TM), and that these can be used with gene set

  11. Next-generation text-mining mediated generation of chemical response-specific gene sets for interpretation of gene expression data

    Hettne, K.M.; Boorsma, A.; Dartel, van D.A.M.; Goeman, J.J.; Jong, de E.; Piersma, A.H.; Stierum, R.H.; Kleinjans, J.C.; Kors, J.A.

    2013-01-01

    Background: Availability of chemical response-specific lists of genes (gene sets) for pharmacological and/or toxic effect prediction for compounds is limited. We hypothesize that more gene sets can be created by next-generation text mining (next-gen TM), and that these can be used with gene set

  12. Linking HRM Practices and Institutional Setting to Collective Turnover: An Empirical Exploration

    Dirk Van Dierendonck

    2016-12-01

    Full Text Available The present study addresses the relationship between human resources management (HRM practices and employee turnover by taking into account the influence of socioeconomic environment. Data was collected at company level with an international sample of 830 companies from 12 countries (Netherlands, Belgium, United Kingdom, Brazil, Switzerland, China, France, Italy, Poland, Germany, South Africa, and Spain. A division into four bundles of human resources (HR practices is introduced: remunerative, communication, developmental, and well-being practices. The influence of the socioeconomic environment was factored in by including the institutional setting in terms of the level of coordination as a country-level variable. The results showed that collective turnover is related to both a country’s institutional determinants and to company HR practices. Remunerative HR practices may have a negative influence in terms of enhancing turnover, particularly within countries high in coordination. HR well-being practices are the most beneficial practices in terms of reducing employee turnover. Our study adds to our knowledge on the relation between HR practices and turnover from an international perspective. It complements the empirical knowledge on the effectiveness of HRM practices in a cross-national setting and supports the notion that the institutional context should be given more attention when studying HR effectiveness.

  13. Mental health and psychosocial support in humanitarian settings: linking practice and research.

    Tol, Wietse A; Barbui, Corrado; Galappatti, Ananda; Silove, Derrick; Betancourt, Theresa S; Souza, Renato; Golaz, Anne; van Ommeren, Mark

    2011-10-29

    This review links practice, funding, and evidence for interventions for mental health and psychosocial wellbeing in humanitarian settings. We studied practice by reviewing reports of mental health and psychosocial support activities (2007-10); funding by analysis of the financial tracking service and the creditor reporting system (2007-09); and interventions by systematic review and meta-analysis. In 160 reports, the five most commonly reported activities were basic counselling for individuals (39%); facilitation of community support of vulnerable individuals (23%); provision of child-friendly spaces (21%); support of community-initiated social support (21%); and basic counselling for groups and families (20%). Most interventions took place and were funded outside national mental health and protection systems. 32 controlled studies of interventions were identified, 13 of which were randomised controlled trials (RCTs) that met the criteria for meta-analysis. Two studies showed promising effects for strengthening community and family supports. Psychosocial wellbeing was not included as an outcome in the meta-analysis, because its definition varied across studies. In adults with symptoms of post-traumatic stress disorder (PTSD), meta-analysis of seven RCTs showed beneficial effects for several interventions (psychotherapy and psychosocial supports) compared with usual care or waiting list (standardised mean difference [SMD] -0·38, 95% CI -0·55 to -0·20). In children, meta-analysis of four RCTs failed to show an effect for symptoms of PTSD (-0·36, -0·83 to 0·10), but showed a beneficial effect of interventions (group psychotherapy, school-based support, and other psychosocial support) for internalising symptoms (six RCTs; SMD -0·24, -0·40 to -0·09). Overall, research and evidence focuses on interventions that are infrequently implemented, whereas the most commonly used interventions have had little rigorous scrutiny. Copyright © 2011 Elsevier Ltd. All

  14. Mental health and psychosocial support in humanitarian settings: linking practice and research

    Tol, Wietse A; Barbui, Corrado; Galappatti, Ananda; Silove, Derrick; Betancourt, Theresa S; Souza, Renato; Golaz, Anne; van Ommeren, Mark

    2014-01-01

    This review links practice, funding, and evidence for interventions for mental health and psychosocial wellbeing in humanitarian settings. We studied practice by reviewing reports of mental health and psychosocial support activities (2007–10); funding by analysis of the financial tracking service and the creditor reporting system (2007–09); and interventions by systematic review and meta-analysis. In 160 reports, the five most commonly reported activities were basic counselling for individuals (39%); facilitation of community support of vulnerable individuals (23%); provision of child-friendly spaces (21%); support of community-initiated social support (21%); and basic counselling for groups and families (20%). Most interventions took place and were funded outside national mental health and protection systems. 32 controlled studies of interventions were identified, 13 of which were randomised controlled trials (RCTs) that met the criteria for meta-analysis. Two studies showed promising effects for strengthening community and family supports. Psychosocial wellbeing was not included as an outcome in the meta-analysis, because its definition varied across studies. In adults with symptoms of post-traumatic stress disorder (PTSD), meta-analysis of seven RCTs showed beneficial effects for several interventions (psychotherapy and psychosocial supports) compared with usual care or waiting list (standardised mean difference [SMD] −0.38, 95% CI −0.55 to −0.20). In children, meta-analysis of four RCTs failed to show an effect for symptoms of PTSD (−0.36, −0.83 to 0.10), but showed a beneficial effect of interventions (group psychotherapy, school-based support, and other psychosocial support) for internalising symptoms (six RCTs; SMD −0.24, −0.40 to −0.09). Overall, research and evidence focuses on interventions that are infrequently implemented, whereas the most commonly used interventions have had little rigorous scrutiny. PMID:22008428

  15. A set of decentralized PID controllers for an n–link robot manipulator

    A class of stabilizing decentralized proportional integral derivative (PID) controllers for an -link robot manipulator system is proposed. The range of decentralized PID controller parameters for an -link robot manipulator is obtained using Kharitonov theorem and stability boundary equations. Basically, the proposed design ...

  16. D-linking or set-restriction? Processing Which-questions in Dutch

    Donkers, Jantien; Hoeks, John C. J.; Stowe, Laurie A.

    2013-01-01

    Research on Wh-questions suggests that Which questions are harder to process than Who questions (e.g., Who/Which athlete won the competition?). According to the Discourse (D)-linking Hypothesis, Which-questions differ from Who-questions in that Which questions need a link to a preceding discourse,

  17. ABOUT WORKING WITH NARRATIVE TEXTS IN EDUCATIONAL SETTINGS: CONCEPTUAL CLARIFICATIONS AND CREATION OF PRACTICAL EXERCISES FOR CLASSROOM

    ALEXA TATIANA JIMÉNEZ HEREDIA

    2005-07-01

    Full Text Available The present psychoeducational method is related with the narrative texts use and it is framed in the joint work amongteacher, school psychologist, and pupils. The importance of working with this sort of texts, its relation to educationalproposals made by the Ministry of National Education of Colombia, the criteria for evaluating the psychologicaldevelopment, and the proposal itself are supported. The writing is closed signaling the place of this type of workwithin a more global educational issues, specially, from the research activity of the teacher as a fundamental axle.

  18. Preventative Reading Interventions Teaching Direct Mapping of Graphemes in Texts and Set-for-Variability Aid At-Risk Learners

    Savage, Robert; Georgiou, George; Parrila, Rauno; Maiorino, Kristina

    2018-01-01

    We evaluated two experimenter-delivered, small-group word reading programs among at-risk poor readers in Grade 1 classes of regular elementary schools using a two-arm, dual-site-matched control trial intervention. At-risk poor word readers (n = 201) were allocated to either (a) Direct Mapping and Set-for-Variability (DMSfV) or (b) Current or…

  19. Analysis of risk factors linked to social educator profession in different residential settings of Alicante Province

    Jorge Heliz Llopis

    2015-10-01

    Full Text Available One of the most important professions in the field of intervention with underage at social risk that are cared for in different residential settings is, undoubtedly, that of the social educator. In that sense, although there are many professionals involved with these underage (psychologists, social workers, psychiatrists, teachers, etc., social educators are the ones who, through the carrying out of functions specific to their profession, often work as the "front line" of action, given that they are the ones who are more in touch with the underage and therefore the most likely to be exposed to different variables that could eventually put them in a situation of risk of psycho-social problems related to their work. Hence, the task of identifying the risk variables related to the teaching profession becomes a key objective in order to prevent the occurrence of likely problems that could undermine their psychosocial health. Therefore, through this communication we intend to expose the results that we obtained with a sample of 50 educators who perform their work in different residential-type services in the province of Alicante.

  20. Variation in the link between parental divorce and children’s health disadvantage in low and high divorce settings

    Emily Smith-Greenaway

    2017-12-01

    Full Text Available Like in other world regions, children with divorced parents in sub-Saharan Africa experience significant heath disadvantages relative to their peers with married parents. Preliminary evidence suggests this disadvantage may not be uniform across the subcontinent’s diverse settings. Research from other world regions shows that the childhood health consequences of divorce vary across different contexts. Specifically, we hypothesize that the childhood disadvantages associated with divorce are more severe in regions of sub-Saharan Africa where divorce is rare, and less so where divorce is a more common family experience. Using Demographic and Health Survey data from 290 subnational regions within 31 sub-Saharan African countries, multilevel models document the previously shown link between having a divorced mother and child morbidity and mortality. The study results further demonstrate that the childhood health disadvantage is accentuated in subnational African regions where fewer women are divorced and muted in areas where more women are divorced. The findings demonstrate that the broader context can powerfully moderate childhood health inequalities traditionally thought of as operating at the family or individual level.

  1. Communicating with the workforce during emergencies: developing an employee text messaging program in a local public health setting.

    Karasz, Hilary N; Bogan, Sharon; Bosslet, Lindsay

    2014-01-01

    Short message service (SMS) text messaging can be useful for communicating information to public health employees and improving workforce situational awareness during emergencies. We sought to understand how the 1,500 employees at Public Health--Seattle & King County, Washington, perceived barriers to and benefits of participation in a voluntary, employer-based SMS program. Based on employee feedback, we developed the system, marketed it, and invited employees to opt in. The system was tested during an ice storm in January 2012. Employee concerns about opting into an SMS program included possible work encroachment during non-work time and receiving excessive irrelevant messages. Employees who received messages during the weather event reported high levels of satisfaction and perceived utility from the program. We conclude that text messaging is a feasible form of communication with employees during emergencies. Care should be taken to design and deploy a program that maximizes employee satisfaction.

  2. Next-generation text-mining mediated generation of chemical response-specific gene sets for interpretation of gene expression data

    K.M. Hettne (Kristina); J. Boorsma (Jeffrey); D.A.M. van Dartel (Dorien A M); J.J. Goeman (Jelle); E.C. de Jong (Esther); A.H. Piersma (Aldert); R.H. Stierum (Rob); J. Kleinjans (Jos); J.A. Kors (Jan)

    2013-01-01

    textabstractBackground: Availability of chemical response-specific lists of genes (gene sets) for pharmacological and/or toxic effect prediction for compounds is limited. We hypothesize that more gene sets can be created by next-generation text mining (next-gen TM), and that these can be used with

  3. Linking plant specialization to dependence in interactions for seed set in pollination networks.

    Cristina Tur

    Full Text Available Studies on pollination networks have provided valuable information on the number, frequency, distribution and identity of interactions between plants and pollinators. However, little is still known on the functional effect of these interactions on plant reproductive success. Information on the extent to which plants depend on such interactions will help to make more realistic predictions of the potential impacts of disturbances on plant-pollinator networks. Plant functional dependence on pollinators (all interactions pooled can be estimated by comparing seed set with and without pollinators (i.e. bagging flowers to exclude them. Our main goal in this study was thus to determine whether plant dependence on current insect interactions is related to plant specialization in a pollination network. We studied two networks from different communities, one in a coastal dune and one in a mountain. For ca. 30% of plant species in each community, we obtained the following specialization measures: (i linkage level (number of interactions, (ii diversity of interactions, and (iii closeness centrality (a measure of how much a species is connected to other plants via shared pollinators. Phylogenetically controlled regression analyses revealed that, for the largest and most diverse coastal community, plants highly dependent on pollinators were the most generalists showing the highest number and diversity of interactions as well as occupying central positions in the network. The mountain community, by contrast, did not show such functional relationship, what might be attributable to their lower flower-resource heterogeneity and diversity of interactions. We conclude that plants with a wide array of pollinator interactions tend to be those that are more strongly dependent upon them for seed production and thus might be those more functionally vulnerable to the loss of network interaction, although these outcomes might be context-dependent.

  4. Next-generation text-mining mediated generation of chemical response-specific gene sets for interpretation of gene expression data

    Hettne Kristina M

    2013-01-01

    Full Text Available Abstract Background Availability of chemical response-specific lists of genes (gene sets for pharmacological and/or toxic effect prediction for compounds is limited. We hypothesize that more gene sets can be created by next-generation text mining (next-gen TM, and that these can be used with gene set analysis (GSA methods for chemical treatment identification, for pharmacological mechanism elucidation, and for comparing compound toxicity profiles. Methods We created 30,211 chemical response-specific gene sets for human and mouse by next-gen TM, and derived 1,189 (human and 588 (mouse gene sets from the Comparative Toxicogenomics Database (CTD. We tested for significant differential expression (SDE (false discovery rate -corrected p-values Results Next-gen TM-derived gene sets matching the chemical treatment were significantly altered in three GE data sets, and the corresponding CTD-derived gene sets were significantly altered in five GE data sets. Six next-gen TM-derived and four CTD-derived fibrate gene sets were significantly altered in the PPARA knock-out GE dataset. None of the fibrate signatures in cMap scored significant against the PPARA GE signature. 33 environmental toxicant gene sets were significantly altered in the triazole GE data sets. 21 of these toxicants had a similar toxicity pattern as the triazoles. We confirmed embryotoxic effects, and discriminated triazoles from other chemicals. Conclusions Gene set analysis with next-gen TM-derived chemical response-specific gene sets is a scalable method for identifying similarities in gene responses to other chemicals, from which one may infer potential mode of action and/or toxic effect.

  5. Linking Compensation and Health Surveillance Data Sets to Improve Knowledge of US Coal Miners' Health.

    Almberg, Kirsten S; Cohen, Robert A; Blackley, David J; Laney, Anthony S; Storey, Eileen; Halldin, Cara N

    2017-10-01

    Increase knowledge of US coal miners' respiratory health by linking data from the black lung benefits program (BLBP) and the coal workers' health surveillance program (CWHSP). BLBP claims data from 2000 through 2013 was linked to CWHSP data from 1970 through 2016. Overall, 273,644 miners participated in CWHSP, 37,548 in BLBP, and 22,903 in both programs. Median age of miners at their time of first/only participation in CWHSP was 28 and 32 years, respectively. BLBP claimants were older (median age 59). Thirty-nine percent of BLBP claimants had not participated in CWHSP. The relative contributions of states to participation differed between CWHSP and BLBP. For example, Kentucky miners accounted for 18% of CWHSP participants, but 36% of BLPB participants. Many BLBP claimants never appeared in CWHSP, indicating missed opportunities for secondary prevention.

  6. Next-generation text-mining mediated generation of chemical response-specific gene sets for interpretation of gene expression data

    2013-01-01

    Background Availability of chemical response-specific lists of genes (gene sets) for pharmacological and/or toxic effect prediction for compounds is limited. We hypothesize that more gene sets can be created by next-generation text mining (next-gen TM), and that these can be used with gene set analysis (GSA) methods for chemical treatment identification, for pharmacological mechanism elucidation, and for comparing compound toxicity profiles. Methods We created 30,211 chemical response-specific gene sets for human and mouse by next-gen TM, and derived 1,189 (human) and 588 (mouse) gene sets from the Comparative Toxicogenomics Database (CTD). We tested for significant differential expression (SDE) (false discovery rate -corrected p-values sets and the CTD-derived gene sets in gene expression (GE) data sets of five chemicals (from experimental models). We tested for SDE of gene sets for six fibrates in a peroxisome proliferator-activated receptor alpha (PPARA) knock-out GE dataset and compared to results from the Connectivity Map. We tested for SDE of 319 next-gen TM-derived gene sets for environmental toxicants in three GE data sets of triazoles, and tested for SDE of 442 gene sets associated with embryonic structures. We compared the gene sets to triazole effects seen in the Whole Embryo Culture (WEC), and used principal component analysis (PCA) to discriminate triazoles from other chemicals. Results Next-gen TM-derived gene sets matching the chemical treatment were significantly altered in three GE data sets, and the corresponding CTD-derived gene sets were significantly altered in five GE data sets. Six next-gen TM-derived and four CTD-derived fibrate gene sets were significantly altered in the PPARA knock-out GE dataset. None of the fibrate signatures in cMap scored significant against the PPARA GE signature. 33 environmental toxicant gene sets were significantly altered in the triazole GE data sets. 21 of these toxicants had a similar toxicity pattern as the

  7. [Dengue fever in Portuguese speaking countries: which epidemiological links may we set?].

    Silvano, José; Abreu, Cândida

    2014-01-01

    The recent occurrence of a number of outbreaks of dengue in Portuguese speaking countries with no previous disease, aroused curiosity about the competing factors for the phenomenon and a need for better knowledge of the pathology. We review the dengue-related situation in Portuguese speaking countries, linking the various outbreaks and trying to contribute to a better understanding of the phenomenon. Review of the literature on the topic and relevant information obtained from oral communications were included. The outbreaks occurred between the years of 2009 and 2013 in Cabo Verde, Madeira and Angola (excluding the endemic phenomenon in Brazil), share the same vector Aedes aegypti, but are due to different viral serotypes, as shown by genotypic studies. The strong sub-notification of the disease in Africa and lack of diagnostic tools prevent a true characterization of the situation. The hypothesis of a link between some of the outbreaks is not completely rejected. The Portuguese territory could be exposed to an increasingly high risk of dengue introduction, not only because of the proximity with these territories, but also because of the current climate changes. The main fight is, in spite of the still elusive emergent tools, the vector control. A link between the outbreaks has not been proven but local preparation of healthcare professionals, creation of public health strategies and maintenance of surveillance systems are needed. More epidemiological and entomological studies are needed to characterize the real incidence of disease in Portuguese speaking countries.

  8. Hyper Text Mark-up Language and Dublin Core metadata element set usage in websites of Iranian State Universities’ libraries

    Zare-Farashbandi, Firoozeh; Ramezan-Shirazi, Mahtab; Ashrafi-Rizi, Hasan; Nouri, Rasool

    2014-01-01

    Introduction: Recent progress in providing innovative solutions in the organization of electronic resources and research in this area shows a global trend in the use of new strategies such as metadata to facilitate description, place for, organization and retrieval of resources in the web environment. In this context, library metadata standards have a special place; therefore, the purpose of the present study has been a comparative study on the Central Libraries’ Websites of Iran State Universities for Hyper Text Mark-up Language (HTML) and Dublin Core metadata elements usage in 2011. Materials and Methods: The method of this study is applied-descriptive and data collection tool is the check lists created by the researchers. Statistical community includes 98 websites of the Iranian State Universities of the Ministry of Health and Medical Education and Ministry of Science, Research and Technology and method of sampling is the census. Information was collected through observation and direct visits to websites and data analysis was prepared by Microsoft Excel software, 2011. Results: The results of this study indicate that none of the websites use Dublin Core (DC) metadata and that only a few of them have used overlaps elements between HTML meta tags and Dublin Core (DC) elements. The percentage of overlaps of DC elements centralization in the Ministry of Health were 56% for both description and keywords and, in the Ministry of Science, were 45% for the keywords and 39% for the description. But, HTML meta tags have moderate presence in both Ministries, as the most-used elements were keywords and description (56%) and the least-used elements were date and formatter (0%). Conclusion: It was observed that the Ministry of Health and Ministry of Science follows the same path for using Dublin Core standard on their websites in the future. Because Central Library Websites are an example of scientific web pages, special attention in designing them can help the researchers

  9. Hyper Text Mark-up Language and Dublin Core metadata element set usage in websites of Iranian State Universities' libraries.

    Zare-Farashbandi, Firoozeh; Ramezan-Shirazi, Mahtab; Ashrafi-Rizi, Hasan; Nouri, Rasool

    2014-01-01

    Recent progress in providing innovative solutions in the organization of electronic resources and research in this area shows a global trend in the use of new strategies such as metadata to facilitate description, place for, organization and retrieval of resources in the web environment. In this context, library metadata standards have a special place; therefore, the purpose of the present study has been a comparative study on the Central Libraries' Websites of Iran State Universities for Hyper Text Mark-up Language (HTML) and Dublin Core metadata elements usage in 2011. The method of this study is applied-descriptive and data collection tool is the check lists created by the researchers. Statistical community includes 98 websites of the Iranian State Universities of the Ministry of Health and Medical Education and Ministry of Science, Research and Technology and method of sampling is the census. Information was collected through observation and direct visits to websites and data analysis was prepared by Microsoft Excel software, 2011. The results of this study indicate that none of the websites use Dublin Core (DC) metadata and that only a few of them have used overlaps elements between HTML meta tags and Dublin Core (DC) elements. The percentage of overlaps of DC elements centralization in the Ministry of Health were 56% for both description and keywords and, in the Ministry of Science, were 45% for the keywords and 39% for the description. But, HTML meta tags have moderate presence in both Ministries, as the most-used elements were keywords and description (56%) and the least-used elements were date and formatter (0%). It was observed that the Ministry of Health and Ministry of Science follows the same path for using Dublin Core standard on their websites in the future. Because Central Library Websites are an example of scientific web pages, special attention in designing them can help the researchers to achieve faster and more accurate information resources

  10. SciLite: a platform for displaying text-mined annotations as a means to link research articles with biological data

    Talo, Francesco; Ide-Smith, Michele; Gobeill, Julien; Carter, Jacob; Batista-Navarro, Riza; Ananiadou, Sophia; Ruch, Patrick; McEntyre, Johanna

    2017-01-01

    The tremendous growth in biological data has resulted in an increase in the number of research papers being published. This presents a great challenge for scientists in searching and assimilating facts described in those papers. Particularly, biological databases depend on curators to add highly precise and useful information that are usually extracted by reading research articles. Therefore, there is an urgent need to find ways to improve linking literature to the underlying data, thereby minimising the effort in browsing content and identifying key biological concepts.   As part of the development of Europe PMC, we have developed a new platform, SciLite, which integrates text-mined annotations from different sources and overlays those outputs on research articles. The aim is to aid researchers and curators using Europe PMC in finding key concepts more easily and provide links to related resources or tools, bridging the gap between literature and biological data. PMID:28948232

  11. Cross-linking by protein oxidation in the rapidly setting gel-based glues of slugs

    Bradshaw, Andrew; Salt, Michael; Bell, Ashley; Zeitler, Matt; Litra, Noelle; Smith, Andrew M.

    2011-01-01

    SUMMARY The terrestrial slug Arion subfuscus secretes a glue that is a dilute gel with remarkable adhesive and cohesive strength. The function of this glue depends on metals, raising the possibility that metal-catalyzed oxidation plays a role. The extent and time course of protein oxidation was measured by immunoblotting to detect the resulting carbonyl groups. Several proteins, particularly one with a relative molecular mass (Mr) of 165×103, were heavily oxidized. Of the proteins known to distinguish the glue from non-adhesive mucus, only specific size variants were oxidized. The oxidation appears to occur within the first few seconds of secretion. Although carbonyls were detected by 2,4-dinitrophenylhydrazine (DNPH) in denatured proteins, they were not easily detected in the native state. The presence of reversible cross-links derived from carbonyls was tested for by treatment with sodium borohydride, which would reduce uncross-linked carbonyls to alcohols, but stabilize imine bonds formed by carbonyls and thus lead to less soluble complexes. Consistent with imine bond formation, sodium borohydride led to a 20–35% decrease in the amount of soluble protein with a Mr of 40–165 (×103) without changing the carbonyl content per protein. In contrast, the nucleophile hydroxylamine, which would competitively disrupt imine bonds, increased protein solubility in the glue. Finally, the primary amine groups on a protein with a Mr of 15×103 were not accessible to acid anhydrides. The results suggest that cross-links between aldehydes and primary amines contribute to the cohesive strength of the glue. PMID:21525316

  12. Links

    Alessandra Russo

    2006-02-01

    Full Text Available La lista de enlaces ofrecida a continuación tiene como objetivo la creación de una base de datos sobre los principales sitios de interés para el estudio de la imagen (en America Latina y más allá. Se ha tratado de incluir una vasta gama de instituciones (museos, colecciones, institutos, representando sin embargo también a revistas, proyectos de investigación, y catálogos en línea. Sin tener la pretensión de ser exhaustiva, esta selección es evolutiva y se pone al día continuamente. MuseosI...

  13. Linking Brief Functional Analysis to Intervention Design in General Education Settings

    Ishuin, Tifanie

    2009-01-01

    This study focused on the utility and applicability of brief functional analysis in general education settings. The purpose of the study was to first identify the environmental variables maintaining noncompliance through a brief functional analysis, and then to design and implement a functionally equivalent intervention. The participant exhibited…

  14. A Review of Reminiscing in Early Childhood Settings and Links to Sustained Shared Thinking

    Neale, Dave; Pino-Pasternak, Deborah

    2017-01-01

    The importance of parent-child reminiscing for young children's social and cognitive development has been well established, but despite the increasing numbers of children attending formal early childhood settings such as nurseries and preschools, there has been surprisingly little research exploring educator-child reminiscing in these contexts.…

  15. Linked Data for Fighting Global Hunger:Experiences in setting standards for Agricultural Information Management

    Baker, Thomas; Keizer, Johannes

    FAO, the Food and Agriculture Organization of the UN, has the global goal to defeat hunger and eliminate poverty. One of its core functions is the generation, dissemination and application of information and knowledge. Since 2000, the Agricultural InformationManagement Standards (AIMS) activity in FAO's Knowledge Exchange and Capacity Building Division has promoted the use of Semantic Web standards to improve information sharing within a global network of research institutes and related partner organizations. The strategy emphasizes the use of simple descriptive metadata, thesauri, and ontologies for integrating access to information from a wide range of sources for both scientific and non-expert audiences. An early adopter of Semantic Web technology, the AIMS strategy is evolving to help information providers in nineteen language areas use modern Linked Data methods to improve the quality of life in developing rural areas, home to seventy percent of the world's poor and hungry people.

  16. Teleconsultation in school settings: linking classroom teachers and behavior analysts through web-based technology.

    Frieder, Jessica E; Peterson, Stephanie M; Woodward, Judy; Crane, Jaelee; Garner, Marlane

    2009-01-01

    This paper describes a technically driven, collaborative approach to assessing the function of problem behavior using web-based technology. A case example is provided to illustrate the process used in this pilot project. A school team conducted a functional analysis with a child who demonstrated challenging behaviors in a preschool setting. Behavior analysts at a university setting provided the school team with initial workshop trainings, on-site visits, e-mail and phone communication, as well as live web-based feedback on functional analysis sessions. The school personnel implemented the functional analysis with high fidelity and scored the data reliably. Outcomes of the project suggest that there is great potential for collaboration via the use of web-based technologies for ongoing assessment and development of effective interventions. However, an empirical evaluation of this model should be conducted before wide-scale adoption is recommended.

  17. Linking Cultural Competence to Functional Life Outcomes in Mental Health Care Settings.

    Michalopoulou, Georgia; Falzarano, Pamela; Butkus, Michael; Zeman, Lori; Vershave, Judy; Arfken, Cynthia

    2014-01-01

    Minorities in the United States have well-documented health disparities. Cultural barriers and biases by health care providers may contribute to lower quality of services which may contribute to these disparities. However, evidence linking cultural competency and health outcomes is lacking. This study, part of an ongoing quality improvement effort, tested the mediation hypothesis that patients' perception of provider cultural competency indirectly influences patients' health outcomes through process of care. Data were from patient satisfaction surveys collected in seven mental health clinics (n=94 minority patients). Consistent with our hypothesis, patients' perception of clinicians' cultural competency was indirectly associated with patients' self-reported improvements in social interactions, improvements in performance at work or school, and improvements in managing life problems through the patients' experience of respect, trust, and communication with the clinician. These findings indicate that process of care characteristics during the clinical encounter influence patients' perceptions of clinicians' cultural competency and affect functional outcomes. © 2013 National Medical Association. Published by Elsevier Inc. All rights reserved.

  18. The effect of automated text messaging and goal setting on pedometer adherence and physical activity in patients with diabetes: A randomized controlled trial.

    Polgreen, Linnea A; Anthony, Christopher; Carr, Lucas; Simmering, Jacob E; Evans, Nicholas J; Foster, Eric D; Segre, Alberto M; Cremer, James F; Polgreen, Philip M

    2018-01-01

    Activity-monitoring devices may increase activity, but their effectiveness in sedentary, diseased, and less-motivated populations is unknown. Subjects with diabetes or pre-diabetes were given a Fitbit and randomized into three groups: Fitbit only, Fitbit with reminders, and Fitbit with both reminders and goal setting. Subjects in the reminders group were sent text-message reminders to wear their Fitbit. The goal-setting group was sent a daily text message asking for a step goal. All subjects had three in-person visits (baseline, 3 and 6 months). We modelled daily steps and goal setting using linear mixed-effects models. 138 subjects participated with 48 in the Fitbit-only, 44 in the reminders, and 46 in the goal-setting groups. Daily steps decreased for all groups during the study. Average daily steps were 7123, 6906, and 6854 for the Fitbit-only, the goal-setting, and the reminders groups, respectively. The reminders group was 17.2 percentage points more likely to wear their Fitbit than the Fitbit-only group. Setting a goal was associated with a significant increase of 791 daily steps, but setting more goals did not lead to step increases. In a population of patients with diabetes or pre-diabetes, individualized reminders to wear their Fitbit and elicit personal step goals did not lead to increases in daily steps, although daily steps were higher on days when goals were set. Our intervention improved engagement and data collection, important goals for activity surveillance. This study demonstrates that new, more-effective interventions for increasing activity in patients with pre-diabetes and diabetes are needed.

  19. Linking public health nursing competencies and service-learning in a global setting.

    Brown, Cynthia L

    2017-09-01

    Nurse educators in baccalaureate programs are charged with addressing student competence in public health nursing practice. These educators are also responsible for creating nursing student opportunities for civic engagement and development of critical thinking skills. The IOM report (2010) on the Future of Nursing emphasizes the nurse educator's role in promoting collaborative partnerships that incorporate interdisciplinary and intraprofessional efforts to promote health. The purpose of this article is to describe an innovative approach to address public health nursing competencies and to improve the health and well-being of indigenous populations in a global setting through promotion of collaboration and service- learning principles. As part of a hybrid elective course, baccalaureate nursing students from various nursing tracks participated in a 2 week immersion experience in Belize that included preimmersion preparation. These students were to collaborate among themselves and with Belizean communities to address identified health knowledge deficits and health-related needs for school-aged children and adult populations. Students successfully collaborated in order to meet health-related needs and to engage in health promotion activities in the Toledo district of Belize. They also gained practice in developing public health nursing competencies for entry-level nursing practice. Implementation of service-learning principles provided students with opportunities for civic engagement and self-reflection. Some challenges existed from the students', faculty, and global community's perspectives. Lack of culturally appropriate and country specific health education materials was difficult for students and the community. Faculty encountered challenges in communicating and collaborating with the Belizean partners. Commonalities exist between entry-level public health nursing competencies and service-learning principles. Using service-learning principles in the development of

  20. Links between causal effects and causal association for surrogacy evaluation in a gaussian setting.

    Conlon, Anna; Taylor, Jeremy; Li, Yun; Diaz-Ordaz, Karla; Elliott, Michael

    2017-11-30

    Two paradigms for the evaluation of surrogate markers in randomized clinical trials have been proposed: the causal effects paradigm and the causal association paradigm. Each of these paradigms rely on assumptions that must be made to proceed with estimation and to validate a candidate surrogate marker (S) for the true outcome of interest (T). We consider the setting in which S and T are Gaussian and are generated from structural models that include an unobserved confounder. Under the assumed structural models, we relate the quantities used to evaluate surrogacy within both the causal effects and causal association frameworks. We review some of the common assumptions made to aid in estimating these quantities and show that assumptions made within one framework can imply strong assumptions within the alternative framework. We demonstrate that there is a similarity, but not exact correspondence between the quantities used to evaluate surrogacy within each framework, and show that the conditions for identifiability of the surrogacy parameters are different from the conditions, which lead to a correspondence of these quantities. Copyright © 2017 John Wiley & Sons, Ltd.

  1. Linking plant specialization to dependence in interactions for seed set in pollination networks.

    Tur, Cristina; Castro-Urgal, Rocío; Traveset, Anna

    2013-01-01

    Studies on pollination networks have provided valuable information on the number, frequency, distribution and identity of interactions between plants and pollinators. However, little is still known on the functional effect of these interactions on plant reproductive success. Information on the extent to which plants depend on such interactions will help to make more realistic predictions of the potential impacts of disturbances on plant-pollinator networks. Plant functional dependence on pollinators (all interactions pooled) can be estimated by comparing seed set with and without pollinators (i.e. bagging flowers to exclude them). Our main goal in this study was thus to determine whether plant dependence on current insect interactions is related to plant specialization in a pollination network. We studied two networks from different communities, one in a coastal dune and one in a mountain. For ca. 30% of plant species in each community, we obtained the following specialization measures: (i) linkage level (number of interactions), (ii) diversity of interactions, and (iii) closeness centrality (a measure of how much a species is connected to other plants via shared pollinators). Phylogenetically controlled regression analyses revealed that, for the largest and most diverse coastal community, plants highly dependent on pollinators were the most generalists showing the highest number and diversity of interactions as well as occupying central positions in the network. The mountain community, by contrast, did not show such functional relationship, what might be attributable to their lower flower-resource heterogeneity and diversity of interactions. We conclude that plants with a wide array of pollinator interactions tend to be those that are more strongly dependent upon them for seed production and thus might be those more functionally vulnerable to the loss of network interaction, although these outcomes might be context-dependent.

  2. Linking the potato genome to the conserved ortholog set (COS) markers

    2013-01-01

    Background Conserved ortholog set (COS) markers are an important functional genomics resource that has greatly improved orthology detection in Asterid species. A comprehensive list of these markers is available at Sol Genomics Network (http://solgenomics.net/) and many of these have been placed on the genetic maps of a number of solanaceous species. Results We amplified over 300 COS markers from eight potato accessions involving two diploid landraces of Solanum tuberosum Andigenum group (formerly classified as S. goniocalyx, S. phureja), and a dihaploid clone derived from a modern tetraploid cultivar of S. tuberosum and the wild species S. berthaultii, S. chomatophilum, and S. paucissectum. By BLASTn (Basic Local Alignment Search Tool of the NCBI, National Center for Biotechnology Information) algorithm we mapped the DNA sequences of these markers into the potato genome sequence. Additionally, we mapped a subset of these markers genetically in potato and present a comparison between the physical and genetic locations of these markers in potato and in comparison with the genetic location in tomato. We found that most of the COS markers are single-copy in the reference genome of potato and that the genetic location in tomato and physical location in potato sequence are mostly in agreement. However, we did find some COS markers that are present in multiple copies and those that map in unexpected locations. Sequence comparisons between species show that some of these markers may be paralogs. Conclusions The sequence-based physical map becomes helpful in identification of markers for traits of interest thereby reducing the number of markers to be tested for applications like marker assisted selection, diversity, and phylogenetic studies. PMID:23758607

  3. Pupil Dilation and EEG Alpha Frequency Band Power Reveal Load on Executive Functions for Link-Selection Processes during Text Reading.

    Christian Scharinger

    Full Text Available Executive working memory functions play a central role in reading comprehension. In the present research we were interested in additional load imposed on executive functions by link-selection processes during computer-based reading. For obtaining process measures, we used a methodology of concurrent electroencephalographic (EEG and eye-tracking data recording that allowed us to compare epochs of pure text reading with epochs of hyperlink-like selection processes in an online reading situation. Furthermore, this methodology allowed us to directly compare the two physiological load-measures EEG alpha frequency band power and pupil dilation. We observed increased load on executive functions during hyperlink-like selection processes on both measures in terms of decreased alpha frequency band power and increased pupil dilation. Surprisingly however, the two measures did not correlate. Two additional experiments were conducted that excluded potential perceptual, motor, or structural confounds. In sum, EEG alpha frequency band power and pupil dilation both turned out to be sensitive measures for increased load during hyperlink-like selection processes in online text reading.

  4. The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text.

    Krallinger, Martin; Vazquez, Miguel; Leitner, Florian; Salgado, David; Chatr-Aryamontri, Andrew; Winter, Andrew; Perfetto, Livia; Briganti, Leonardo; Licata, Luana; Iannuccelli, Marta; Castagnoli, Luisa; Cesareni, Gianni; Tyers, Mike; Schneider, Gerold; Rinaldi, Fabio; Leaman, Robert; Gonzalez, Graciela; Matos, Sergio; Kim, Sun; Wilbur, W John; Rocha, Luis; Shatkay, Hagit; Tendulkar, Ashish V; Agarwal, Shashank; Liu, Feifan; Wang, Xinglong; Rak, Rafal; Noto, Keith; Elkan, Charles; Lu, Zhiyong; Dogan, Rezarta Islamaj; Fontaine, Jean-Fred; Andrade-Navarro, Miguel A; Valencia, Alfonso

    2011-10-03

    Determining usefulness of biomedical text mining systems requires realistic task definition and data selection criteria without artificial constraints, measuring performance aspects that go beyond traditional metrics. The BioCreative III Protein-Protein Interaction (PPI) tasks were motivated by such considerations, trying to address aspects including how the end user would oversee the generated output, for instance by providing ranked results, textual evidence for human interpretation or measuring time savings by using automated systems. Detecting articles describing complex biological events like PPIs was addressed in the Article Classification Task (ACT), where participants were asked to implement tools for detecting PPI-describing abstracts. Therefore the BCIII-ACT corpus was provided, which includes a training, development and test set of over 12,000 PPI relevant and non-relevant PubMed abstracts labeled manually by domain experts and recording also the human classification times. The Interaction Method Task (IMT) went beyond abstracts and required mining for associations between more than 3,500 full text articles and interaction detection method ontology concepts that had been applied to detect the PPIs reported in them. A total of 11 teams participated in at least one of the two PPI tasks (10 in ACT and 8 in the IMT) and a total of 62 persons were involved either as participants or in preparing data sets/evaluating these tasks. Per task, each team was allowed to submit five runs offline and another five online via the BioCreative Meta-Server. From the 52 runs submitted for the ACT, the highest Matthew's Correlation Coefficient (MCC) score measured was 0.55 at an accuracy of 89% and the best AUC iP/R was 68%. Most ACT teams explored machine learning methods, some of them also used lexical resources like MeSH terms, PSI-MI concepts or particular lists of verbs and nouns, some integrated NER approaches. For the IMT, a total of 42 runs were evaluated by comparing

  5. The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text

    2011-01-01

    Background Determining usefulness of biomedical text mining systems requires realistic task definition and data selection criteria without artificial constraints, measuring performance aspects that go beyond traditional metrics. The BioCreative III Protein-Protein Interaction (PPI) tasks were motivated by such considerations, trying to address aspects including how the end user would oversee the generated output, for instance by providing ranked results, textual evidence for human interpretation or measuring time savings by using automated systems. Detecting articles describing complex biological events like PPIs was addressed in the Article Classification Task (ACT), where participants were asked to implement tools for detecting PPI-describing abstracts. Therefore the BCIII-ACT corpus was provided, which includes a training, development and test set of over 12,000 PPI relevant and non-relevant PubMed abstracts labeled manually by domain experts and recording also the human classification times. The Interaction Method Task (IMT) went beyond abstracts and required mining for associations between more than 3,500 full text articles and interaction detection method ontology concepts that had been applied to detect the PPIs reported in them. Results A total of 11 teams participated in at least one of the two PPI tasks (10 in ACT and 8 in the IMT) and a total of 62 persons were involved either as participants or in preparing data sets/evaluating these tasks. Per task, each team was allowed to submit five runs offline and another five online via the BioCreative Meta-Server. From the 52 runs submitted for the ACT, the highest Matthew's Correlation Coefficient (MCC) score measured was 0.55 at an accuracy of 89% and the best AUC iP/R was 68%. Most ACT teams explored machine learning methods, some of them also used lexical resources like MeSH terms, PSI-MI concepts or particular lists of verbs and nouns, some integrated NER approaches. For the IMT, a total of 42 runs were

  6. Transition of a Text-Based Insulin Titration Program From a Randomized Controlled Trial Into Real-World Settings: Implementation Study

    Orzeck-Byrnes, Natasha A; Aidasani, Sneha R; Moloney, Dana N; Nguyen, Lisa H; Park, Agnes; Hu, Lu; Langford, Aisha T; Wang, Binhuan; Sevick, Mary Ann; Rogers, Erin S

    2018-01-01

    Background The Mobile Insulin Titration Intervention (MITI) program helps patients with type 2 diabetes find their correct basal insulin dose without in-person care. Requiring only basic cell phone technology (text messages and phone calls), MITI is highly accessible to patients receiving care in safety-net settings. MITI was shown in a randomized controlled trial (RCT) to be efficacious at a New York City (NYC) safety-net clinic where patients often have challenges coming for in-person care. In 2016, MITI was implemented as usual care at Bellevue Hospital (the site of the original RCT) and at Gouverneur Health (a second NYC safety-net clinic) under 2 different staffing models. Objective This implementation study examined MITI’s transition into real-world settings. To understand MITI’s flexibility, generalizability, and acceptability among patients and providers, we evaluated whether MITI continued to produce positive outcomes in expanded underserved populations, outside of an RCT setting. Methods Patients enrolled in MITI received weekday text messages asking for their fasting blood glucose (FBG) values and a weekly titration call. The goal was for patients to reach their optimal insulin dose (OID), defined either as the dose of once-daily basal insulin required to achieve either an FBG of 80-130 mg/dL (4.4-7.2 mmol/L) or as the reaching of the maximum dose of 50 units. After 12 weeks, if OID was not reached, the patients were asked to return to the clinic for in-person care and titration. MITI program outcomes, clinical outcomes, process outcomes, and patient satisfaction were assessed. Results MITI was successful at both sites, each with a different staffing model. Providers referred 170 patients to the program—129 of whom (75.9%, 129/170) were eligible. Of these, 113 (87.6%, 113/129) enrolled. Moreover, 84.1% (95/113) of patients reached their OID, and they did so in an average of 24 days. Clinical outcomes show that mean FBG levels fell from 209 mg

  7. Variation in the link between parental divorce and children's health disadvantage in low and high divorce settings.

    Smith-Greenaway, Emily; Clark, Shelley

    2017-12-01

    Like in other world regions, children with divorced parents in sub-Saharan Africa experience significant heath disadvantages relative to their peers with married parents. Preliminary evidence suggests this disadvantage may not be uniform across the subcontinent's diverse settings. Research from other world regions shows that the childhood health consequences of divorce vary across different contexts. Specifically, we hypothesize that the childhood disadvantages associated with divorce are more severe in regions of sub-Saharan Africa where divorce is rare, and less so where divorce is a more common family experience. Using Demographic and Health Survey data from 290 subnational regions within 31 sub-Saharan African countries, multilevel models document the previously shown link between having a divorced mother and child morbidity and mortality. The study results further demonstrate that the childhood health disadvantage is accentuated in subnational African regions where fewer women are divorced and muted in areas where more women are divorced. The findings demonstrate that the broader context can powerfully moderate childhood health inequalities traditionally thought of as operating at the family or individual level.

  8. Use of an android phone application for automated text messages in international settings: A case study in an HIV clinical trial in St. Petersburg, Russia.

    Forman, Leah S; Patts, Gregory J; Coleman, Sharon M; Blokhina, Elena; Lu, John; Yaroslavtseva, Tatiana; Gnatienko, Natalia; Krupitsky, Evgeny; Samet, Jeffrey H; Chaisson, Christine E

    2018-02-01

    Reproducible outcomes in clinical trials depend on adherence to study protocol. Short message service (also known as text message) reminders have been shown to improve clinical trial adherence in the United States and elsewhere. However, due to systematic differences in mobile data plans, languages, and technology, these systems are not easily translated to international settings. To gauge technical capabilities for international projects, we developed SMSMessenger, an automated Android application that uses a US server to send medication reminders to participants in a clinical trial in St. Petersburg, Russia (Zinc for HIV disease among alcohol users-a randomized controlled trial in the Russia Alcohol Research Collaboration on HIV/AIDS cohort). The application is downloaded once onto an Android study phone. When it is time for the text message reminders to be sent, study personnel access the application on a local phone, which in turn accesses the existing clinical trial database hosted on a US web server. The application retrieves a list of participants with the following information: phone number, whether a message should be received at that time, and the appropriate text of the message. The application is capable of storing multiple outgoing messages. With a few clicks, text messages are sent to study participants who can reply directly to the message. Study staff can check the local phone for incoming messages. The SMSMessenger application uses an existing clinical trial database and is able to receive real-time updates. All communications between the application and server are encrypted, and phone numbers are stored in a secure database behind a firewall. No sensitive data are stored on the phone, as outgoing messages are sent through the application and not by messaging features on the phone itself. Messages are sent simultaneously to study participants, which reduces the burden on local study staff. Costs and setup are minimal. The only local requirements

  9. Development of Feature Set, Classification Implementation and Applications for Vowel Migration/Modification in Sung Filipino (Tagalog Texts and Perceived Intelligibility

    Virginia B. Bustos

    2009-12-01

    Full Text Available With the emergence of research on real-time visual feedback to supplement vocal pedagogy, the utilization of technology in the world of music is now seen to accelerate skills learning and enhance cognitive development. The researchers of this project aim to further analyze vowel intelligibility and develop software applications intended to be used not only by professional singers but also by individuals who wish to improve their singing capability. Data in the form of sung vowels and song pieces were obtained from 46 singers. A Listening Test was then conducted on these samples to obtain the ground truth for vowel classification based on human perception. Simulation of the human auditory perception of sung Filipino vowels was performed using formant frequencies and Mel-frequency cepstral coefficients as feature vector inputs to a two-stage Discriminant Analysis classifier. The setup resulted in an over-all Training Set accuracy of 89.4% and an over-all Test Set accuracy of 90.9%. The accuracy of the classifier, measured in terms of the correspondence of vowel classifications obtained from the classifier with the results of the Listening Test, reached 92.3%. Using information obtained from the classifier, offline and online/real-time software applications were developed. The main application features include the display of the spectral envelope and spectrogram, pitch and vibrato analysis and direct feedback on the classification of the sung vowel. These features were recommended by singers who were surveyed and were incorporated in the applications to aid singers to adjust formant locations, directly determine listener’s perception of sung vowels, perform modeling effectively and carry out vowel migration.

  10. Text Mining.

    Trybula, Walter J.

    1999-01-01

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

  11. The effect of word prediction settings (frequency of use) on text input speed in persons with cervical spinal cord injury: a prospective study.

    Pouplin, Samuel; Roche, Nicolas; Antoine, Jean-Yves; Vaugier, Isabelle; Pottier, Sandra; Figere, Marjorie; Bensmail, Djamel

    2017-06-01

    To determine whether activation of the frequency of use and automatic learning parameters of word prediction software has an impact on text input speed. Forty-five participants with cervical spinal cord injury between C4 and C8 Asia A or B accepted to participate to this study. Participants were separated in two groups: a high lesion group for participants with lesion level is at or above C5 Asia AIS A or B and a low lesion group for participants with lesion is between C6 and C8 Asia AIS A or B. A single evaluation session was carried out for each participant. Text input speed was evaluated during three copying tasks: • without word prediction software (WITHOUT condition) • with automatic learning of words and frequency of use deactivated (NOT_ACTIV condition) • with automatic learning of words and frequency of use activated (ACTIV condition) Results: Text input speed was significantly higher in the WITHOUT than the NOT_ACTIV (pword prediction software with the activation of frequency of use and automatic learning increased text input speed in participants with high-level tetraplegia. For participants with low-level tetraplegia, the use of word prediction software with frequency of use and automatic learning activated only decreased the number of errors. Implications in rehabilitation   Access to technology can be difficult for persons with disabilities such as cervical spinal cord injury (SCI). Several methods have been developed to increase text input speed such as word prediction software.This study show that parameter of word prediction software (frequency of use) affected text input speed in persons with cervical SCI and differed according to the level of the lesion. • For persons with high-level lesion, our results suggest that this parameter must be activated so that text input speed is increased. • For persons with low lesion group, this parameter must be activated so that the numbers of errors are decreased. • In all cases, the

  12. Estimating length of stay in publicly-funded residential and nursing care homes: a retrospective analysis using linked administrative data sets

    Steventon Adam

    2012-10-01

    Full Text Available Abstract Background Information about how long people stay in care homes is needed to plan services, as length of stay is a determinant of future demand for care. As length of stay is proportional to cost, estimates are also needed to inform analysis of the long-term cost effectiveness of interventions aimed at preventing admissions to care homes. But estimates are rarely available due to the cost of repeatedly surveying individuals. Methods We used administrative data from three local authorities in England to estimate the length of publicly-funded care homes stays beginning in 2005 and 2006. Stays were classified into nursing home, permanent residential and temporary residential. We aggregated successive placements in different care home providers and, by linking to health data, across periods in hospital. Results The largest group of stays (38.9% were those intended to be temporary, such as for rehabilitation, and typically lasted 4 weeks. For people admitted to permanent residential care, median length of stay was 17.9 months. Women stayed longer than men, while stays were shorter if preceded by other forms of social care. There was significant variation in length of stay between the three local authorities. The typical person admitted to a permanent residential care home will cost a local authority over £38,000, less payments due from individuals under the means test. Conclusions These figures are not apparent from existing data sets. The large cost of care home placements suggests significant scope for preventive approaches. The administrative data revealed complexity in patterns of service use, which should be further explored as it may challenge the assumptions that are often made.

  13. Variation in the link between parental divorce and children’s health disadvantage in low and high divorce settings

    Smith-Greenaway, Emily; Clark, Shelley

    2017-01-01

    Like in other world regions, children with divorced parents in sub-Saharan Africa experience significant heath disadvantages relative to their peers with married parents. Preliminary evidence suggests this disadvantage may not be uniform across the subcontinent’s diverse settings. Research from other world regions shows that the childhood health consequences of divorce vary across different contexts. Specifically, we hypothesize that the childhood disadvantages associated with divorce are mor...

  14. Drugs + HIV, Learn the Link

    Full Text Available ... young people and to parents, teachers, and the media about the link between drug misuse and HIV. We have produced a set of multicultural public service announcements (PSAs) that use text messaging as a means of communication. The "Text Message" PSA features two young girls ...

  15. An Embedded Application for Degraded Text Recognition

    Thillou Céline

    2005-01-01

    Full Text Available This paper describes a mobile device which tries to give the blind or visually impaired access to text information. Three key technologies are required for this system: text detection, optical character recognition, and speech synthesis. Blind users and the mobile environment imply two strong constraints. First, pictures will be taken without control on camera settings and a priori information on text (font or size and background. The second issue is to link several techniques together with an optimal compromise between computational constraints and recognition efficiency. We will present the overall description of the system from text detection to OCR error correction.

  16. EUROPEAN VOLCANOES' NIGHT: building a link between general public and volcanologists in a relaxed and welcoming setting

    Calvo, David; González-Cárdenas, María E.; Baldrich, Laura; Solana, Carmen; Nave, Rosella; Calvari, Sonia; Harangi, Szabolcs; Chouraqui, Floriane; Dionis, Samara; Silva, Sonia V.; Forjaz, Victor H.; D'Auria, Luca; Pérez, Nemesio M.

    2017-04-01

    European Volcanoes' Night (www.volcanoesnight.com) is a "volcanic eruption" of art, culture, music, gastronomy, school activities, geotourism, exhibitions and scientific debates. The event aims to bring together members of the general public with scientists who work on the study of volcanoes, in order to meet and ask questions in a relaxed and welcoming setting. It is open to both locals and tourists who appreciate the beauty and power of this natural phenomena. This celebration gives attendees, and in particular young people, the opportunity to meet researchers in a relaxed and festive setting, which will feature many activities and which will be used to highlight the attractiveness of a career research on one of the most attractive natural phenomena; volcanoes. The 2016 European Volcanoes' Night was held at 16 different municipalities of Spain, France, Hungary, Italy, Portugal, United Kingdom and Cape Verde on September 30, 2016, coinciding with the celebration of "European Researchers' Night" held annually throughout Europe and neighbouring countries the last Friday of September. The spirit of the European VolcanoeśNight fits perfectly in the aim of the ERN, trying to close the gap between the scientific community and the rest of the society. In this case, volcanoes are the driving force of this event, celebrating the singularity of living on volcanoes, and how these affect our daily lives, our culture and our heritage. European VolcanoeśNight also celebrates volcano science, with avantgarde talks and presentations on different volcanic topics and becomes a meeting point for children discovering volcanoes as a pastime or a leisure topic, making this event a must for tourists and locals wherever has been held. At the end of 2016 European VolcanoeśNight, almost 150 activities were performed for thousands of spectators, a big success that confirms something as crucial as science as a communication issue, and as a tool to strengthen the ties between researchers

  17. A large outbreak of Hepatitis E virus genotype 1 infection in an urban setting in Chad likely linked to household level transmission factors, 2016-2017.

    Alexander Spina

    Full Text Available In September 2016, three acutely jaundiced (AJS pregnant women were admitted to Am Timan Hospital, eastern Chad. We described the outbreak and conducted a case test-negative study to identify risk factors for this genotype of HEV in an acute outbreak setting.Active case finding using a community based surveillance network identified suspected AJS cases. Pregnant or visibly ill AJS cases presenting at hospital were tested with Assure® IgM HEV rapid diagnostic tests (RDTs and some with Polymerase Chain Reaction (PCR in Amsterdam; confirmed cases were RDT-positive and controls were RDT-negative. All answered questions around: demographics, household makeup, area of residence, handwashing practices, water collection behaviour and clinical presentation. We calculated unadjusted odds ratios (ORs and 95% confidence intervals (95% CI.Between September and April 2017, 1443 AJS cases (1293 confirmed were detected in the town(attack rate: 2%; estimated 65,000 population. PCR testing confirmed HEV genotype 1e. HEV RDTs were used for 250 AJS cases; 100 (40% were confirmed. Risk factors for HEV infection, included: having at least two children under the age of 5 years (OR 2.1, 95%CI 1.1-4.3, having another household member with jaundice (OR 2.4, 95%CI 0.90-6.3 and, with borderline significance, living in the neighbourhoods of Riad (OR 3.8, 95%CI 1.0-1.8 or Ridina (OR 3.3, 95%CI 1.0-12.6. Cases were more likely to present with vomiting (OR 3.2, 9%CI 1.4-7.9 than controls; possibly due to selection bias. Cases were non-significantly less likely to report always washing hands before meals compared with controls (OR 0.33, 95%CI 0.1-1.1.Our study suggests household factors and area of residence (possibly linked to access to water and sanitation play a role in HEV transmission; which could inform future outbreak responses. Ongoing sero-prevalence studies will elucidate more aspects of transmission dynamics of this virus with genotype 1e.

  18. Word sets, keywords, and text contents: an investigation of text topic on the computer Iniciando a língüística do corpus do português: explorando um corpus para ensinar português como língua estrangeira

    Antonio P. BERBER SARDINHA

    1999-02-01

    Full Text Available This study presents a methodology for the identification of coherent word sets. Eight sets were initially identified and further grouped into two main sets: a `company' set and a `non-company' set. These two sets shared very few collocates, and therefore they seemed to represent distinct topics. The positions of the words in the `company' and `non-company' sets across the text were computed. The results indicated that the `non-company' sets referred to `company' implicitly. Finally, the key words were compared to an automatic abridgment of the text which revealed that nearly all key words were present in the ahridgment. This was interpreted as suggesting that the key words may indeed represent the main contents of the text.Este estudo apresenta uma metodologia para a identificação de conjuntos de palavras coerentes. Oito conjuntos foram identificados inicialmente e posteriormente agrupados em dois conjuntos principais: um conjunto denominado `companhia' e outro denominado `não-companhia'. Estes dois conjuntos partilham alguns colocados, e portanto parecem representar tópicos distintos. A posição das palavras de ambos os conjuntos foi computada ao longo do texto analisado. Os resultados indicaram que os conjuntos `não-companhia' se referiam indiretamente à companhia. Por fim, as palavras-chave dos conjuntos foram comparadas a um resumo do texto automático gerado por computador o qual revelou que quase todas as palavras-chave estavam presentes no resumo. Este fato foi interpretado como indício de que as palavras-chave representam o conteúdo central do texto.

  19. Machine Translation from Text

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

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

  20. Library Users Expect Link Resolvers to Provide Full Text While Librarians Expect Accurate Results. A review of: Wakimoto, Jina Choi, David S. Walker, and Katherine S. Dabbour. “The Myths and Realities of SFX in Academic Libraries.” The Journal of Academic Librarianship 32.2 (Mar. 2006: 127‐ 36.

    Wendy Furlan

    2006-12-01

    Full Text Available Objective – To determine how successfulthe link resolver, SFX, is in meeting the expectations of library users and librarians.Design – Analysis of an online user survey, library staff focus groups, retrospective analysis of system statistics, and test searches.Setting – Two California State University campus libraries in the United States: Northbridge, with over 31,000 students on campus, and San Marcos, with over 7,300 students on campus.Subjects – A total of 453 online survey responses were submitted from library users, 421 from Northbridge and 32 from SanMarcos. Twenty librarians took part in the focus groups conducted with library staff consisting of 14 of the 23 librarians from Northbridge (2 from technical services and 12 from public services, and 6 of the 10 San Marcos librarians (3 from technical services and 3 from public services. No further information was provided on the characteristics of the subjects.Methods – An online survey was offered to users of the two campus libraries for a two week period in May 2004. The survey consisted of 8 questions, 7 fixed response and 1 free text. Survey distribution was enabled via a different mechanism at each campus. The Northbridge library offered the survey to users via a pop‐up window each time the SFX service was clicked on, while the San Marcos library presented the survey as a link from the library’s home page. Survey responses from both campuses were combined and analysed together. Focus groups were conducted with librarians from each campus library on April 20th, 21st, and 29th, 2004. Librarians attended focus groups only with others from their own campus. Statistics were gathered from each campus’ local SFX system for the 3‐month period from September 14, 2004, to December 14,2004. Statistics from each campus were combined for analysis. The authors also conducted 224 test searches over the 3‐month period from July to September, 2004.Main results – Analysis of the

  1. Deploying Linked Open Vocabulary (LOV to Enhance Library Linked Data

    Oh, Sam Gyun

    2015-06-01

    Full Text Available Since the advent of Linked Data (LD as a method for building webs of data, there have been many attempts to apply and implement LD in various settings. Efforts have been made to convert bibliographic data in libraries into Linked Data, thereby generating Library Linked Data (LLD. However, when memory institutions have tried to link their data with external sources based on principles suggested by Tim Berners-Lee, identifying appropriate vocabularies for use in describing their bibliographic data has proved challenging. The objective of this paper is to discuss the potential role of Linked Open Vocabularies (LOV in providing better access to various open datasets and facilitating effective linking. The paper will also examine the ways in which memory institutions can utilize LOV to enhance the quality of LLD and LLD-based ontology design.

  2. Linking chloride mass balance infiltration rates with chlorofluorocarbon and SF6 groundwater dating in semi-arid settings: potential and limitations.

    Stadler, Susanne; Osenbruck, Karsten; Duijnisveld, Wilhelmus H M; Schwiede, Martin; Bottcher, Jurgen

    2010-09-01

    In the framework of the investigation of enrichment processes of nitrate in groundwater of the Kalahari of Botswana near Serowe, recharge processes were investigated. The thick unsaturated zone extending to up to 100 m of mostly unconsolidated sediments and very low recharge rates pose a serious challenge to study solute transport related to infiltration and recharge processes, as this extends past the conventional depths of soil scientific investigations and is difficult to describe using evidence from the groundwater due to the limitations imposed by available tracers. To determine the link between nitrate in the vadose zone and in the uppermost groundwater, sediment from the vadose zone was sampled up to a depth of 15-20 m (in one case also to 65 m) on several sites with natural vegetation in the research area. Among other parameters, sediment and water were analysed to determine chloride and nitrate concentration depth profiles. Using the chloride mass balance method, an estimation of groundwater infiltration rates produced values of 0.2-4 mm a(-1). The uncertainty of these values is, however, high. Because of the extreme thickness of the vadose zone, the travel time in the unsaturated zone might reach extreme values of up to 500 years and more. For investigations using groundwater, we applied the chlorofluorocarbons CFC-113, CFC-12, sulphur hexafluoride (SF(6)) and tritium to identify potential recharge, and found indications for some advective transport of the CFCs and SF(6), which we accounted for as constituting potential active localised recharge. In our contribution, we show the potential and limitations of the applied methods to determine groundwater recharge and coupled solute transport in semi-arid settings, and compare travel time ranges derived from soil science and groundwater investigations.

  3. Estimating length of stay in publicly-funded residential and nursing care homes: a retrospective analysis using linked administrative data sets.

    Steventon, Adam; Roberts, Adam

    2012-10-31

    Information about how long people stay in care homes is needed to plan services, as length of stay is a determinant of future demand for care. As length of stay is proportional to cost, estimates are also needed to inform analysis of the long-term cost effectiveness of interventions aimed at preventing admissions to care homes. But estimates are rarely available due to the cost of repeatedly surveying individuals. We used administrative data from three local authorities in England to estimate the length of publicly-funded care homes stays beginning in 2005 and 2006. Stays were classified into nursing home, permanent residential and temporary residential. We aggregated successive placements in different care home providers and, by linking to health data, across periods in hospital. The largest group of stays (38.9%) were those intended to be temporary, such as for rehabilitation, and typically lasted 4 weeks. For people admitted to permanent residential care, median length of stay was 17.9 months. Women stayed longer than men, while stays were shorter if preceded by other forms of social care. There was significant variation in length of stay between the three local authorities. The typical person admitted to a permanent residential care home will cost a local authority over £38,000, less payments due from individuals under the means test. These figures are not apparent from existing data sets. The large cost of care home placements suggests significant scope for preventive approaches. The administrative data revealed complexity in patterns of service use, which should be further explored as it may challenge the assumptions that are often made.

  4. Important Text Characteristics for Early-Grades Text Complexity

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

    2015-01-01

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

  5. Is self-assessment of medical abortion using a low-sensitivity pregnancy test combined with a checklist and phone text messages feasible in South African primary healthcare settings? A randomized trial.

    Deborah Constant

    Full Text Available To evaluate feasibility of self-assessment of medical abortion outcome using a low-sensitivity urine pregnancy test, checklist and text messages. The study assessed whether accurate self-assessment required a demonstration of the low-sensitivity urine pregnancy test or if verbal instructions suffice.This non-inferiority trial enrolled 525 adult women from six public sector abortion clinics. Eligible women were undergoing medical abortion at gestations within 63 days. Consenting women completed a baseline interview, received standard care with mifepristone and home-administration of misoprostol. All were given a low-sensitivity urine pregnancy test and checklist for use 14 days later, sent text reminders, and asked to attend in-clinic follow-up after two weeks. Women were randomly assigned 1:1 to an instruction-only group (n = 262; issued with pre-scripted instructions on the low-sensitivity pregnancy test, or a demonstration group (n = 263; performed practice tests guided by lay health workers. The primary outcome was accurate self-assessment of incomplete abortion, defined as needing additional misoprostol or vacuum aspiration. Analysis was by intention to treat and a non-inferiority margin was set to six percentage points. Women's acceptability of their abortion procedure and preferences for follow-up were also assessed.Follow-up was 81% for abortion outcome, confirmed in-clinic at two weeks or self-reported within six months. Non-inferiority of instruction-only to a demonstration was inconclusive for accurate self-assessment (risk difference for instruction-only -demonstration: -2.5%; 95%CI: -9% to 4%. Comparing instruction-only to demonstration groups, 99% and 100% found the pregnancy test easy to do; and 91% and 93% respectively chose the pregnancy test, checklist and text messages for abortion outcome assessment in the future.Routine self-assessment using a low-sensitivity pregnancy test, checklist and text messages is feasible and

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

    Darko Brodić

    2010-05-01

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

  7. Is self-assessment of medical abortion using a low-sensitivity pregnancy test combined with a checklist and phone text messages feasible in South African primary healthcare settings? A randomized trial.

    Constant, Deborah; Harries, Jane; Daskilewicz, Kristen; Myer, Landon; Gemzell-Danielsson, Kristina

    2017-01-01

    To evaluate feasibility of self-assessment of medical abortion outcome using a low-sensitivity urine pregnancy test, checklist and text messages. The study assessed whether accurate self-assessment required a demonstration of the low-sensitivity urine pregnancy test or if verbal instructions suffice. This non-inferiority trial enrolled 525 adult women from six public sector abortion clinics. Eligible women were undergoing medical abortion at gestations within 63 days. Consenting women completed a baseline interview, received standard care with mifepristone and home-administration of misoprostol. All were given a low-sensitivity urine pregnancy test and checklist for use 14 days later, sent text reminders, and asked to attend in-clinic follow-up after two weeks. Women were randomly assigned 1:1 to an instruction-only group (n = 262; issued with pre-scripted instructions on the low-sensitivity pregnancy test), or a demonstration group (n = 263; performed practice tests guided by lay health workers). The primary outcome was accurate self-assessment of incomplete abortion, defined as needing additional misoprostol or vacuum aspiration. Analysis was by intention to treat and a non-inferiority margin was set to six percentage points. Women's acceptability of their abortion procedure and preferences for follow-up were also assessed. Follow-up was 81% for abortion outcome, confirmed in-clinic at two weeks or self-reported within six months. Non-inferiority of instruction-only to a demonstration was inconclusive for accurate self-assessment (risk difference for instruction-only -demonstration: -2.5%; 95%CI: -9% to 4%). Comparing instruction-only to demonstration groups, 99% and 100% found the pregnancy test easy to do; and 91% and 93% respectively chose the pregnancy test, checklist and text messages for abortion outcome assessment in the future. Routine self-assessment using a low-sensitivity pregnancy test, checklist and text messages is feasible and preferred by women

  8. Using the Medical Research Council framework for development and evaluation of complex interventions in a low resource setting to develop a theory-based treatment support intervention delivered via SMS text message to improve blood pressure control.

    Bobrow, Kirsten; Farmer, Andrew; Cishe, Nomazizi; Nwagi, Ntobeko; Namane, Mosedi; Brennan, Thomas P; Springer, David; Tarassenko, Lionel; Levitt, Naomi

    2018-01-23

    Several frameworks now exist to guide intervention development but there remains only limited evidence of their application to health interventions based around use of mobile phones or devices, particularly in a low-resource setting. We aimed to describe our experience of using the Medical Research Council (MRC) Framework on complex interventions to develop and evaluate an adherence support intervention for high blood pressure delivered by SMS text message. We further aimed to describe the developed intervention in line with reporting guidelines for a structured and systematic description. We used a non-sequential and flexible approach guided by the 2008 MRC Framework for the development and evaluation of complex interventions. We reviewed published literature and established a multi-disciplinary expert group to guide the development process. We selected health psychology theory and behaviour change techniques that have been shown to be important in adherence and persistence with chronic medications. Semi-structured interviews and focus groups with various stakeholders identified ways in which treatment adherence could be supported and also identified key features of well-regarded messages: polite tone, credible information, contextualised, and endorsed by identifiable member of primary care facility staff. Direct and indirect user testing enabled us to refine the intervention including refining use of language and testing of interactive components. Our experience shows that using a formal intervention development process is feasible in a low-resource multi-lingual setting. The process enabled us to pre-test assumptions about the intervention and the evaluation process, allowing the improvement of both. Describing how a multi-component intervention was developed including standardised descriptions of content aimed to support behaviour change will enable comparison with other similar interventions and support development of new interventions. Even in low

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

    Davies, Florence; Greene, Terry

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

  10. Journalistic Text Production

    Haugaard, Rikke Hartmann

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

  11. A Customizable Text Classifier for Text Mining

    Yun-liang Zhang

    2007-12-01

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

  12. Utah Text Retrieval Project

    Hollaar, L A

    1983-10-01

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

  13. Comparative Results From a National Joint Registry Hip Data Set of a New Cross-Linked Annealed Polyethylene vs Both Conventional Polyethylene and Ceramic Bearings.

    Epinette, Jean-Alain; Jolles-Haeberli, Brigitte M

    2016-07-01

    Major concerns in hip arthroplasty concern the fate of bearing surfaces. Highly cross-linked polyethylene materials (HXLPE) currently demonstrate successful in vitro results with new technical procedures of cross-linking the polyethylene material, whereas processing the polyethylene below its melting temperature to produce so-called "annealed HXLPE" would allow retention of important mechanical properties. Data released by the National Joint Registry of England and Wales addressing in 45,877 hips the same Trident uncemented cup, allowed us to compare the performance of a consecutive cohort of patients implanted with the newest generation of annealed HXLPE acetabular bearings (X3: 21,470) vs 2 consecutive nonselected cohorts, one with conventional polyethylene (N2vac: 8225) and one with ceramic-on-ceramic (CoC) hip bearings (AL: 16,182). The main end point in survivorship has been first defined as revision for any cause, then for any cause which could be related to a failure of the bearing couple. At 6-year follow-up, all Trident cups demonstrated encouraging global survival cumulative rates all between 95% and 99%. A first study demonstrated better survivorship with X3-HXLPE liners vs conventional ultrahigh molecular weight polyethylene. On the second parallel study, the cumulative survival rates were better for X3 liners as compared to CoC bearings. Moreover, when ranking the yearly cumulative percent revision rates, again the best results were obtained with X3 liners with small alumina heads (cumulative percent revision rate at 0.298). Within the frame of this Trident study, the use of this X3 highly cross-linked annealed polyethylene could be considered as a reliable alternate solution to CoC bearings. Copyright © 2016 Elsevier Inc. All rights reserved.

  14. Linked data management

    Hose, Katja; Schenkel, Ralf

    2014-01-01

    Linked Data Management presents techniques for querying and managing Linked Data that is available on today’s Web. The book shows how the abundance of Linked Data can serve as fertile ground for research and commercial applications. The text focuses on aspects of managing large-scale collections of Linked Data. It offers a detailed introduction to Linked Data and related standards, including the main principles distinguishing Linked Data from standard database technology. Chapters also describe how to generate links between datasets and explain the overall architecture of data integration systems based on Linked Data. A large part of the text is devoted to query processing in different setups. After presenting methods to publish relational data as Linked Data and efficient centralized processing, the book explores lookup-based, distributed, and parallel solutions. It then addresses advanced topics, such as reasoning, and discusses work related to read-write Linked Data for system interoperation. Desp...

  15. L'effet de la mise en page d'un livre sur le pairage du texte et de l'illustration par le jeune lecteur (The Effect of Book Layout on the Linking of Text and Illustrations by the Young Reader).

    Reinwein, Joachim

    A study investigated the degree to which the page layout of a book affects the young reader's association of text with appropriate illustrations. Four hundred native French-speaking third-graders in eight Montreal (Canada) schools participated. In a third-grade text about animals, the names of the animals illustrated in pictures and other words…

  16. The space - time - cube and the display of large movement data sets: the link between visualization strategies and cartographic design guidelines

    Kveladze, Irma; Kraak, Menno-Jan

    2011-01-01

    one should not only consider the nature of the data, but also the purpose of the particular phase of the workflow. To verify the above approach the visualization strategies and design guidelines are applied in a different use cases. The cases include: • The annotated space-time path A travel log...... is the Space-Time-cube (STC). The last decades the interest in this representation has increased considerable because of the technological opportunities. Despite the many domains where the STC is used, it is still unclear what the full possibilities and limitations of this graphic representation are. Its three...... consisting of a trajectory based on different modes of transport, with linked annotations. The challenge is to deal different scales and annotations. • The historical movement data The event ‘Napoleons march to Moscow’ contains fifteen space-time paths (STP) with attribute information. Challenge is to answer...

  17. The Interplay of Text, Meaning and Practice

    Kärreman, Dan; Levay, Charlotta

    2017-01-01

    Context: The study of discourses (i.e. verbal interactions or written accounts) is increasingly used in social sciences to gain insight into issues connected to discourse, such as meanings, behaviours and actions. This paper situates discourse analysis in medical education, based on a framework...... settings, with a particular focus on the field of medical education. Methods: The study is based on a literature analysis of discourse analysis approaches published in Medical Education. Results: Findings suggest that empirical studies through discourse analysis can be heuristically understood in terms...... of the links between text, practices and meaning. Conclusions: Discourse analysis provides a more strongly supported argument when it is possible to defend claims on three levels: practice, using observational data; meaning, using ethnographic data, and text, using conversational and textual data....

  18. Text Maps: Helping Students Navigate Informational Texts.

    Spencer, Brenda H.

    2003-01-01

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

  19. Linked Ocean Data

    Leadbetter, Adam; Arko, Robert; Chandler, Cynthia; Shepherd, Adam

    2014-05-01

    "Linked Data" is a term used in Computer Science to encapsulate a methodology for publishing data and metadata in a structured format so that links may be created and exploited between objects. Berners-Lee (2006) outlines the following four design principles of a Linked Data system: Use Uniform Resource Identifiers (URIs) as names for things. Use HyperText Transfer Protocol (HTTP) URIs so that people can look up those names. When someone looks up a URI, provide useful information, using the standards (Resource Description Framework [RDF] and the RDF query language [SPARQL]). Include links to other URIs so that they can discover more things. In 2010, Berners-Lee revisited his original design plan for Linked Data to encourage data owners along a path to "good Linked Data". This revision involved the creation of a five star rating system for Linked Data outlined below. One star: Available on the web (in any format). Two stars: Available as machine-readable structured data (e.g. An Excel spreadsheet instead of an image scan of a table). Three stars: As two stars plus the use of a non-proprietary format (e.g. Comma Separated Values instead of Excel). Four stars: As three stars plus the use of open standards from the World Wide Web Commission (W3C) (i.e. RDF and SPARQL) to identify things, so that people can point to your data and metadata. Five stars: All the above plus link your data to other people's data to provide context Here we present work building on the SeaDataNet common vocabularies served by the NERC Vocabulary Server, connecting projects such as the Rolling Deck to Repository (R2R) and the Biological and Chemical Oceanography Data Management Office (BCO-DMO) and other vocabularies such as the Marine Metadata Interoperability Ontology Register and Repository and the NASA Global Change Master Directory to create a Linked Ocean Data cloud. Publishing the vocabularies and metadata in standard RDF XML and exposing SPARQL endpoints renders them five-star Linked

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

    Biemann, Chris

    2014-01-01

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

  1. Text recycling: acceptable or misconduct?

    Harriman, Stephanie; Patel, Jigisha

    2014-08-16

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

  2. Linking fault permeability, fluid flow, and earthquake triggering in a hydrothermally active tectonic setting: Numerical Simulations of the hydrodynamics in the Tjörnes Fracture Zone, Iceland.

    Lupi, M.; Geiger, S.; Graham, C.; Claesson, L.; Richter, B.

    2007-12-01

    A good insight into the transient fluid flow evolution within a hydrothermal system is of primary importance for the understanding of several geologic processes, for example the hydrodynamic triggering of earthquakes or the formation of mineral deposits. The strong permeability contrast between different crustal layers as well as the high geothermal gradient of these areas are elements that strongly affect the flow behaviour. In addition, the sudden and transient occurrence of joints, faults and magmatic intrusions are likely to change the hydrothermal flow paths in very short time. The Tjörnes Fracture Zone (TFZ) north of Iceland, is such a hydrothermal area where a high geothermal gradient, magmatic bodies, faults, and the strong contrast between sediments and fractured lava layers govern the large-scale fluid flow. The TFZ offsets the Kolbeinsey Ridge and the Northern Rift Zone. It is characterized by km-scale faults that link sub-seafloor sediments and lava layers with deeper crystalline rocks. These structures focus fluid flow and allow for the mixing between cold seawater and deep hydrothermal fluids. A strong seismic activity is present in the TFZ: earthquakes up to magnitude 7 have been recorded over the past years. Hydrogeochemical changes before, during and after a magnitude 5.8 earthquake suggest that the evolving stress state before the earthquake leads to (remote) permeability variations, which alter the fluid flow paths. This is in agreement with recent numerical fluid flow simulations which demonstrate that fluid flow in magmatic- hydrothermal systems is often convective and very sensitive to small variations in permeability. In order to understand the transient fluid flow behaviour in this complex geological environment, we have conducted numerical simulations of heat and mass transport in two geologically realistic cross-sectional models of the TFZ. The geologic models are discretised using finite element and finite volume methods. They hence have

  3. Road and Street Centerlines, StreetLabels-The data set is a text feature consisting of 6329 label points representing street names. It was created to show the names of city and county based streets., Published in 1989, Davis County Government.

    NSGIC Local Govt | GIS Inventory — Road and Street Centerlines dataset current as of 1989. StreetLabels-The data set is a text feature consisting of 6329 label points representing street names. It was...

  4. Text-Fabric

    Roorda, Dirk

    2016-01-01

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

  5. Contextual Text Mining

    Mei, Qiaozhu

    2009-01-01

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

  6. XML and Free Text.

    Riggs, Ken Roger

    2002-01-01

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

  7. Critical Text Analysis: Linking Language and Cultural Studies

    Wharton, Sue

    2011-01-01

    Many UK universities offer degree programmes in English Language specifically for non-native speakers of English. Such programmes typically include not only language development but also development in various areas of content knowledge. A challenge that arises is to design courses in different areas that mutually support each other, thus…

  8. Emotion detection from text

    Ramalingam, V. V.; Pandian, A.; Jaiswal, Abhijeet; Bhatia, Nikhar

    2018-04-01

    This paper presents a novel method based on concept of Machine Learning for Emotion Detection using various algorithms of Support Vector Machine and major emotions described are linked to the Word-Net for enhanced accuracy. The approach proposed plays a promising role to augment the Artificial Intelligence in the near future and could be vital in optimization of Human-Machine Interface.

  9. E-text

    Finnemann, Niels Ole

    2018-01-01

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

  10. Texting on the Move

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

  11. Text Coherence in Translation

    Zheng, Yanping

    2009-01-01

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

  12. LinkED: A Novel Methodology for Publishing Linked Enterprise Data

    Shreyas Suresh Rao

    2017-01-01

    Full Text Available Semantic Web technologies have redefined and strengthened the Enterprise-Web interoperability over the last decade. Linked Open Data (LOD refers to a set of best practices that empower enterprises to publish and interlink their data using existing ontologies on the World Wide Web. Current research in LOD focuses on expert search, the creation of unified information space and augmentation of core data from an enterprise context. However, existing approaches for publication of enterprise data as LOD are domain-specific, ad-hoc and suffer from lack of uniform representation across domains. The paper proposes a novel methodology called LinkED that contributes towards LOD literature in two ways: (a streamlines the publishing process through five stages of cleaning, triplification, interlinking, storage and visualization; (b addresses the latest challenges in LOD publication, namely: inadequate links, inconsistencies in the quality of the dataset and replicability of the LOD publication process. Further, the methodology is demonstrated via the publication of digital repository data as LOD in a university setting, which is evaluated based on two semantic standards: Five-Star model and data quality metrics. Overall, the paper provides a generic LOD publication process that is applicable across various domains such as healthcare, e-governance, banking, and tourism, to name a few.

  13. Vocabulary Constraint on Texts

    C. Sutarsyah

    2008-01-01

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

  14. Dictionaries for text production

    Fuertes-Olivera, Pedro; Bergenholtz, Henning

    2018-01-01

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

  15. Instant Sublime Text starter

    Haughee, Eric

    2013-01-01

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

  16. Named Entity Linking Algorithm

    M. F. Panteleev

    2017-01-01

    Full Text Available In the tasks of processing text in natural language, Named Entity Linking (NEL represents the task to define and link some entity, which is found in the text, with some entity in the knowledge base (for example, Dbpedia. Currently, there is a diversity of approaches to solve this problem, but two main classes can be identified: graph-based approaches and machine learning-based ones. Graph and Machine Learning approaches-based algorithm is proposed accordingly to the stated assumptions about the interrelations of named entities in a sentence and in general.In the case of graph-based approaches, it is necessary to solve the problem of identifying an optimal set of the related entities according to some metric that characterizes the distance between these entities in a graph built on some knowledge base. Due to limitations in processing power, to solve this task directly is impossible. Therefore, its modification is proposed. Based on the algorithms of machine learning, an independent solution cannot be built due to small volumes of training datasets relevant to NEL task. However, their use can contribute to improving the quality of the algorithm. The adaptation of the Latent Dirichlet Allocation model is proposed in order to obtain a measure of the compatibility of attributes of various entities encountered in one context.The efficiency of the proposed algorithm was experimentally tested. A test dataset was independently generated. On its basis the performance of the model was compared using the proposed algorithm with the open source product DBpedia Spotlight, which solves the NEL problem.The mockup, based on the proposed algorithm, showed a low speed as compared to DBpedia Spotlight. However, the fact that it has shown higher accuracy, stipulates the prospects for work in this direction.The main directions of development were proposed in order to increase the accuracy of the system and its productivity.

  17. Linguistics in Text Interpretation

    Togeby, Ole

    2011-01-01

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

  18. LocText

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

    2018-01-01

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

  19. Systematic text condensation

    Malterud, Kirsti

    2012-01-01

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

  20. The Perfect Text.

    Russo, Ruth

    1998-01-01

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

  1. Text 2 Mind Map

    Iona, John

    2017-01-01

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

  2. Text File Comparator

    Kotler, R. S.

    1983-01-01

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

  3. Zum Bildungspotenzial biblischer Texte

    Theis, Joachim

    2017-11-01

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

  4. EST: Evading Scientific Text.

    Ward, Jeremy

    2001-01-01

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

  5. nal Sesotho texts

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

  6. Plagiarism in Academic Texts

    Marta Eugenia Rojas-Porras

    2012-08-01

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

  7. Handwriting in Signing Deaf Middle-School Students and Relationship with Text Composition and Spelling

    Alamargot, Denis; Morin, Marie-France; Simard-Dupuis, Érika

    2018-01-01

    We set out to (i) assess the handwriting skills of signing deaf students, and (ii) examine the extent to which their text composition and spelling performances are linked to their handwriting efficiency. We asked 15 prelingually and profoundly deaf middle-school students (M = 15.18 years), all sign-language users, and a group of hearing students…

  8. The TEXT upgrade vertical interferometer

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

    1992-01-01

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

  9. Reasoning with Annotations of Texts

    Ma , Yue; Lévy , François; Ghimire , Sudeep

    2011-01-01

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

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

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

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

  11. TEXT Energy Storage System

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

    1977-01-01

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

  12. Drugs + HIV, Learn the Link

    Full Text Available ... the Link - Drugs and HIV Learn the Link - Drugs and HIV Email Facebook Twitter 2005 –Ongoing Behaviors ... GA: CDC, DHHS. Retrieved November 2017. How are Drug Misuse and HIV Related? Drug misuse and addiction ...

  13. Drugs + HIV, Learn the Link

    Full Text Available ... the link between drug misuse and HIV infection. It contains information for young people, parents and teachers, ... present time. The virus (HIV) and the disease it causes (AIDS) are often linked and referred to ...

  14. Drugs + HIV, Learn the Link

    Full Text Available ... teens and young adults have never known a world without it. NIDA’s "Learn the Link" campaign continues ... for HIV infection through risky sexual behaviors. NIDA researchers have studied and continue to study the links ...

  15. New mathematical cuneiform texts

    Friberg, Jöran

    2016-01-01

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

  16. The Emar Lexical Texts

    Gantzert, Merijn

    2011-01-01

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

  17. Text Induced Spelling Correction

    Reynaert, M.W.C.

    2004-01-01

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

  18. Texts and Readers.

    Iser, Wolfgang

    1980-01-01

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

  19. Documents and legal texts

    2017-01-01

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

  20. Operative Links

    Wistoft, Karen; Højlund, Holger

    2012-01-01

    educational goals, learning content, or value clarification. Health pedagogy is often a matter of retrospective rationalization rather than the starting point of planning. Health and risk behaviour approaches override health educational approaches. Conclusions: Operational links between health education......, health professionalism, and management strategies pose the foremost challenge. Operational links indicates cooperative levels that facilitate a creative and innovative effort across traditional professional boundaries. It is proposed that such links are supported by network structures, shared semantics...

  1. Drugs + HIV, Learn the Link

    Full Text Available ... that use text messaging as a means of communication. The "Text Message" PSA features two young girls ... about the link between drug misuse and HIV. Post on Facebook or Twitter ; add photos to your ...

  2. Text Mining in Organizational Research.

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

    2018-07-01

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

  3. Strategy as Texts

    Obed Madsen, Søren

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

  4. Reading Authentic Texts

    Balling, Laura Winther

    2013-01-01

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

  5. Documents and legal texts

    2016-01-01

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

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

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

    2010-09-15

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

  7. Weitere Texte physiognomischen Inhalts

    Böck, Barbara

    2004-12-01

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

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

  8. Documents and legal texts

    2013-01-01

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

  9. Interconnectedness und digitale Texte

    Detlev Doherr

    2013-04-01

    Full Text Available Zusammenfassung Die multimedialen Informationsdienste im Internet werden immer umfangreicher und umfassender, wobei auch die nur in gedruckter Form vorliegenden Dokumente von den Bibliotheken digitalisiert und ins Netz gestellt werden. Über Online-Dokumentenverwaltungen oder Suchmaschinen können diese Dokumente gefunden und dann in gängigen Formaten wie z.B. PDF bereitgestellt werden. Dieser Artikel beleuchtet die Funktionsweise der Humboldt Digital Library, die seit mehr als zehn Jahren Dokumente von Alexander von Humboldt in englischer Übersetzung im Web als HDL (Humboldt Digital Library kostenfrei zur Verfügung stellt. Anders als eine digitale Bibliothek werden dabei allerdings nicht nur digitalisierte Dokumente als Scan oder PDF bereitgestellt, sondern der Text als solcher und in vernetzter Form verfügbar gemacht. Das System gleicht damit eher einem Informationssystem als einer digitalen Bibliothek, was sich auch in den verfügbaren Funktionen zur Auffindung von Texten in unterschiedlichen Versionen und Übersetzungen, Vergleichen von Absätzen verschiedener Dokumente oder der Darstellung von Bilden in ihrem Kontext widerspiegelt. Die Entwicklung von dynamischen Hyperlinks auf der Basis der einzelnen Textabsätze der Humboldt‘schen Werke in Form von Media Assets ermöglicht eine Nutzung der Programmierschnittstelle von Google Maps zur geographischen wie auch textinhaltlichen Navigation. Über den Service einer digitalen Bibliothek hinausgehend, bietet die HDL den Prototypen eines mehrdimensionalen Informationssystems, das mit dynamischen Strukturen arbeitet und umfangreiche thematische Auswertungen und Vergleiche ermöglicht. Summary The multimedia information services on Internet are becoming more and more comprehensive, even the printed documents are digitized and republished as digital Web documents by the libraries. Those digital files can be found by search engines or management tools and provided as files in usual formats as

  10. Documents and legal texts

    2015-01-01

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

  11. Documents and legal texts

    2014-01-01

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

  12. A randomized controlled trial of a brief intervention for illicit drugs linked to the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) in clients recruited from primary health-care settings in four countries.

    Humeniuk, Rachel; Ali, Robert; Babor, Thomas; Souza-Formigoni, Maria Lucia O; de Lacerda, Roseli Boerngen; Ling, Walter; McRee, Bonnie; Newcombe, David; Pal, Hemraj; Poznyak, Vladimir; Simon, Sara; Vendetti, Janice

    2012-05-01

    This study evaluated the effectiveness of a brief intervention (BI) for illicit drugs (cannabis, cocaine, amphetamine-type stimulants and opioids) linked to the World Health Organization (WHO) Alcohol, Smoking and Substance Involvement Screening Test (ASSIST). The ASSIST screens for problem or risky use of 10 psychoactive substances, producing a score for each substance that falls into either a low-, moderate- or high-risk category. Prospective, randomized controlled trial in which participants were either assigned to a 3-month waiting-list control condition or received brief motivational counselling lasting an average of 13.8 minutes for the drug receiving the highest ASSIST score. Primary health-care settings in four countries: Australia, Brazil, India and the United States. A total of 731 males and females scoring within the moderate-risk range of the ASSIST for cannabis, cocaine, amphetamine-type stimulants or opioids. ASSIST-specific substance involvement scores for cannabis, stimulants or opioids and ASSIST total illicit substance involvement score at baseline and 3 months post-randomization. Omnibus analyses indicated that those receiving the BI had significantly reduced scores for all measures, compared with control participants. Country-specific analyses showed that, with the exception of the site in the United States, BI participants had significantly lower ASSIST total illicit substance involvement scores at follow-up compared with the control participants. The sites in India and Brazil demonstrated a very strong brief intervention effect for cannabis scores (P Brazil (P illicit substance use and related risks is effective, at least in the short term, and the effect generalizes across countries. © 2011 The Authors, Addiction © 2011 Society for the Study of Addiction.

  13. Blind links, a big challenge in the linked data idea: Analysis of Persian Subject Headings

    Atefeh Sharif

    2014-12-01

    Full Text Available In this survey, Linked data concept as exposing, sharing, and connecting pieces of data, information, and knowledge on the Semantic Web and some potential problems in converting Persian subject headings (PSHs Records into linked data were discussed. A data set (11233 records of PSHs was searched in three information retrieval systems including National Library of Iran (NLI online catalog, Library of Congress (LC online catalog and NOSA books. Correct links between Persian and English subject headings in the 9519 common records of two catalogs were recorded. The results indicate that the links between Persian and English subjects in 20% of records were failed. The maximum error was associated with the anonymous databases (6/7 % in NLI online catalog. It is recommended to preprocess the PSHs records before any conversion projects. It seems that, during the preprocessing, the potential errors could be identified and corrected.

  14. Drugs + HIV, Learn the Link

    Full Text Available ... for young people, parents and teachers, and the media with links to our latest research findings and news updates. Read on to Learn the Link between ... to this site at: http://www.drugabuse.gov/news-events/public-education-projects/learn-link-drugs-hiv . ... Social Media Send the message to young people and to ...

  15. Quantitative linking hypotheses for infant eye movements.

    Daniel Yurovsky

    Full Text Available The study of cognitive development hinges, largely, on the analysis of infant looking. But analyses of eye gaze data require the adoption of linking hypotheses: assumptions about the relationship between observed eye movements and underlying cognitive processes. We develop a general framework for constructing, testing, and comparing these hypotheses, and thus for producing new insights into early cognitive development. We first introduce the general framework--applicable to any infant gaze experiment--and then demonstrate its utility by analyzing data from a set of experiments investigating the role of attentional cues in infant learning. The new analysis uncovers significantly more structure in these data, finding evidence of learning that was not found in standard analyses and showing an unexpected relationship between cue use and learning rate. Finally, we discuss general implications for the construction and testing of quantitative linking hypotheses. MATLAB code for sample linking hypotheses can be found on the first author's website.

  16. Phosphorylation of human link proteins

    Oester, D.A.; Caterson, B.; Schwartz, E.R.

    1986-01-01

    Three link proteins of 48, 44 and 40 kDa were purified from human articular cartilage and identified with monoclonal anti-link protein antibody 8-A-4. Two sets of lower molecular weight proteins of 30-31 kDa and 24-26 kDa also contained link protein epitopes recognized by the monoclonal antibody and were most likely degradative products of the intact link proteins. The link proteins of 48 and 40 kDa were identified as phosphoproteins while the 44 kDa link protein did not contain 32 P. The phosphorylated 48 and 40 kDa link proteins contained approximately 2 moles PO 4 /mole link protein

  17. Drugs + HIV, Learn the Link

    Full Text Available ... produced a set of multicultural public service announcements (PSAs) that use text messaging as a means of communication. The "Text Message" PSA features two young girls texting each other about ...

  18. Operative Links

    Wistoft, Karen; Højlund, Holger

    2012-01-01

    and have been the object of great expectations concerning the ability to incorporate health concerns into every welfare area through health promotion strategies. The paper draws on results and analyses of a collective research project funded by the Danish National Research Council and carried out...... links' that indicate cooperative levels which facilitate a creative and innovative effort in disease prevention and health promotion targeted at children and adolescents - across traditional professional boundaries. It is proposed that such links are supported by network structures, shared semantics...

  19. Analysis of Azari Language based on Parsing using Link Gram

    Maryam Arabzadeh

    2014-09-01

    Full Text Available There are different classes of theories for the natural lanuguage syntactic parsing problem and for creating the related grammars .This paper presents a syntactic grammar developed in the link grammar formalism for Turkish which is an agglutinative language. In the link grammar formalism, the words of a sentence are linked with each other depending on their syntactic roles. Turkish has complex derivational and inflectional morphology, and derivational and inflection morphemes play important syntactic roles in the sentences. In order to develop a link grammar for Turkish, the lexical parts in the morphological representations of Turkish words are removed, and the links are created depending on the part of speech tags and inflectional morphemes in words. Furthermore, a derived word is separated at the derivational boundaries in order to treat each derivation morpheme as a special distinct word, and allow it to be linked with the rest of the sentence. The derivational morphemes of a word are also linked with each other with special links to indicate that they are parts of the same word. Finally the adapted unique link grammar formalism for Turkish provides flexibility for the linkage construction, and similar methods can be used for other languages with complex morphology. Finally, using the Delphi programming language, the link grammar related to the Azeri language was developed and implemented and then by selecting 250 random sentences, this grammar is evaluated and then tested. For 84.31% of the sentences, the result set of the parser contains the correct parse.

  20. Cross-link guided molecular modeling with ROSETTA.

    Abdullah Kahraman

    Full Text Available Chemical cross-links identified by mass spectrometry generate distance restraints that reveal low-resolution structural information on proteins and protein complexes. The technology to reliably generate such data has become mature and robust enough to shift the focus to the question of how these distance restraints can be best integrated into molecular modeling calculations. Here, we introduce three workflows for incorporating distance restraints generated by chemical cross-linking and mass spectrometry into ROSETTA protocols for comparative and de novo modeling and protein-protein docking. We demonstrate that the cross-link validation and visualization software Xwalk facilitates successful cross-link data integration. Besides the protocols we introduce XLdb, a database of chemical cross-links from 14 different publications with 506 intra-protein and 62 inter-protein cross-links, where each cross-link can be mapped on an experimental structure from the Protein Data Bank. Finally, we demonstrate on a protein-protein docking reference data set the impact of virtual cross-links on protein docking calculations and show that an inter-protein cross-link can reduce on average the RMSD of a docking prediction by 5.0 Å. The methods and results presented here provide guidelines for the effective integration of chemical cross-link data in molecular modeling calculations and should advance the structural analysis of particularly large and transient protein complexes via hybrid structural biology methods.

  1. New Historicism: Text and Context

    Violeta M. Vesić

    2016-02-01

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

  2. Scandinavian links

    Matthiessen, Christian Wichmann; Knowles, Richard D.

    2014-01-01

    are impressive mega structures spanning international waterways. These waterways between the Baltic Sea and the North Sea have played major roles in history. The length of each of the crossings are around 20 km. The fixed links closes gaps between the Scandinavian and European motorway and rail networks...

  3. Text

    Anon.

    2009-01-01

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

  4. The Algorithm of Link Prediction on Social Network

    Liyan Dong

    2013-01-01

    Full Text Available At present, most link prediction algorithms are based on the similarity between two entities. Social network topology information is one of the main sources to design the similarity function between entities. But the existing link prediction algorithms do not apply the network topology information sufficiently. For lack of traditional link prediction algorithms, we propose two improved algorithms: CNGF algorithm based on local information and KatzGF algorithm based on global information network. For the defect of the stationary of social network, we also provide the link prediction algorithm based on nodes multiple attributes information. Finally, we verified these algorithms on DBLP data set, and the experimental results show that the performance of the improved algorithm is superior to that of the traditional link prediction algorithm.

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

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

    2016-01-01

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

  6. Text Mining for Protein Docking.

    Varsha D Badal

    2015-12-01

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

  7. The Balinese Unicode Text Processing

    Imam Habibi

    2009-06-01

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

  8. Classifying Written Texts Through Rhythmic Features

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

    2016-01-01

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

  9. An Intelligent System For Arabic Text Categorization

    Syiam, M.M.; Tolba, Mohamed F.; Fayed, Z.T.; Abdel-Wahab, Mohamed S.; Ghoniemy, Said A.; Habib, Mena Badieh

    Text Categorization (classification) is the process of classifying documents into a predefined set of categories based on their content. In this paper, an intelligent Arabic text categorization system is presented. Machine learning algorithms are used in this system. Many algorithms for stemming and

  10. Visualisierung von typisierten Links in Linked Data

    Georg Neubauer

    2017-09-01

    Full Text Available Das Themengebiet der Arbeit behandelt Visualisierungen von typisierten Links in Linked Data. Die wissenschaftlichen Gebiete, die im Allgemeinen den Inhalt des Beitrags abgrenzen, sind das Semantic Web, das Web of Data und Informationsvisualisierung. Das Semantic Web, das von Tim Berners Lee 2001 erfunden wurde, stellt eine Erweiterung zum World Wide Web (Web 2.0 dar. Aktuelle Forschungen beziehen sich auf die Verknüpfbarkeit von Informationen im World Wide Web. Um es zu ermöglichen, solche Verbindungen wahrnehmen und verarbeiten zu können sind Visualisierungen die wichtigsten Anforderungen als Hauptteil der Datenverarbeitung. Im Zusammenhang mit dem Sematic Web werden Repräsentationen von zuhammenhängenden Informationen anhand von Graphen gehandhabt. Der Grund des Entstehens dieser Arbeit ist in erster Linie die Beschreibung der Gestaltung von Linked Data-Visualisierungskonzepten, deren Prinzipien im Rahmen einer theoretischen Annäherung eingeführt werden. Anhand des Kontexts führt eine schrittweise Erweiterung der Informationen mit dem Ziel, praktische Richtlinien anzubieten, zur Vernetzung dieser ausgearbeiteten Gestaltungsrichtlinien. Indem die Entwürfe zweier alternativer Visualisierungen einer standardisierten Webapplikation beschrieben werden, die Linked Data als Netzwerk visualisiert, konnte ein Test durchgeführt werden, der deren Kompatibilität zum Inhalt hatte. Der praktische Teil behandelt daher die Designphase, die Resultate, und zukünftige Anforderungen des Projektes, die durch die Testung ausgearbeitet wurden.

  11. Counting SET-free sets

    Harman, Nate

    2016-01-01

    We consider the following counting problem related to the card game SET: How many $k$-element SET-free sets are there in an $n$-dimensional SET deck? Through a series of algebraic reformulations and reinterpretations, we show the answer to this question satisfies two polynomiality conditions.

  12. Data Sets from Major NCI Initiaves

    The NCI Data Catalog includes links to data collections produced by major NCI initiatives and other widely used data sets, including animal models, human tumor cell lines, epidemiology data sets, genomics data sets from TCGA, TARGET, COSMIC, GSK, NCI60.

  13. LinkLights

    Grönvall, Erik; Kramp, Gunnar

    2011-01-01

    The project described in this paper aims to provide assistive tools to support elderly people affected by vestibular dysfunction (i.e. a form of balance disorder leading to dizziness and nausea) in their home-based rehabilitation activities. Challenges emerge as the rehabilitation moves from...... a supervised hospital setting to private homes. Our studies have shown that the elderly people are less motivated to perform the training at home. This paper presents a tangible, portable, two dimensional modular platform called LinkLights that has been developed to sustain the home-based rehabilitation......, giving clear guidelines what to do, adding motivational cues and elements of variation and surprise in the activity. Furthermore, a set of challenges for successful translocation of the therapeutic regimen from a supervised, hospital setting to an unsupervised home-based setting together with some early...

  14. A Proposed Arabic Handwritten Text Normalization Method

    Tarik Abu-Ain

    2014-11-01

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

  15. Drugs + HIV, Learn the Link

    Full Text Available ... HIV. We have produced a set of multicultural public service announcements (PSAs) that use text messaging as a means of communication. The "Text Message" PSA features two young girls ...

  16. Learning from Conflicting Texts: The Role of Intertextual Conflict Resolution in Between-Text Integration

    Kobayashi, Keiichi

    2015-01-01

    The present study examined the effect of intertextual conflict resolution on learning from conflicting texts. In two experiments, participants read sets of two texts under the condition of being encouraged either to resolve a conflict between the texts' arguments (the resolution condition) or to comprehend the arguments (the comprehension…

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

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

    2014-10-28

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

  18. Classroom Texting in College Students

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

    2015-01-01

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

  19. Drugs + HIV, Learn the Link

    Full Text Available ... link between drug misuse and HIV. http://1.usa.gov/1z20ww6 How many of us think about ... can’t ignore. Learn the Link: http://1.usa.gov/1uSUAI3 Think you’re not at risk? ...

  20. Drugs + HIV, Learn the Link

    Full Text Available ... at: http://www.drugabuse.gov/news-events/public-education-projects/learn-link-drugs-hiv . 120x90 460x80 486x60 Social Media Send the message to young people and to parents, teachers, and the media about the link between drug misuse and HIV. Post on Facebook or Twitter ; add photos to your Flickr , ...

  1. Drugs + HIV, Learn the Link

    Full Text Available ... Learn the Link campaign uses TV, print, and Web public service announcements (PSAs), as well as posters, e-cards, ... to misuse drugs. The Learn the Link public service campaign is just one ... site. Sincerely, Nora D. Volkow, M.D. Director ...

  2. Drugs + HIV, Learn the Link

    Full Text Available ... Link Need ideas for posts? We’ve provided sample Facebook status updates that you can easily copy ... LearntheLink. Need ideas for tweets? We’ve provided sample tweets that you can easily copy and paste ...

  3. Drugs + HIV, Learn the Link

    Full Text Available ... projects/learn-link-drugs-hiv . 120x90 460x80 486x60 Social Media Send the message to young people and ... HIV/AIDS and the discovery of promising treatment interventions for breaking the harmful links between them, we ...

  4. Drugs + HIV, Learn the Link

    Full Text Available ... at: http://www.drugabuse.gov/news-events/public-education-projects/learn-link-drugs-hiv . 120x90 460x80 486x60 Social Media Send the message to young people and to parents, teachers, and the media about the link between drug ...

  5. Drugs + HIV, Learn the Link

    Full Text Available ... Children & Teens Search Connect with NIDA : Facebook LinkedIn Twitter YouTube Flickr RSS Menu Home Drugs of Abuse ... Learn the Link - Drugs and HIV Email Facebook Twitter 2005 –Ongoing Behaviors associated with drug misuse are ...

  6. Drugs + HIV, Learn the Link

    Full Text Available ... HIV. Post on Facebook About Learn the Link Need ideas for posts? We’ve provided sample Facebook ... HIV, be sure to use the hashtag #LearntheLink. Need ideas for tweets? We’ve provided sample tweets ...

  7. Drugs + HIV, Learn the Link

    Full Text Available ... NIDA : Facebook LinkedIn Twitter YouTube Flickr RSS Menu Home Drugs of Abuse Commonly Abused Drugs Charts Emerging ... Badges Other Resources Strategic Plan Search Share Print Home » News & Events » Public Education Projects » Learn the Link - ...

  8. Drugs + HIV, Learn the Link

    Full Text Available ... site. Please link these banners back to this site at: http://www.drugabuse.gov/news-events/public-education-projects/learn-link-drugs-hiv . 120x90 460x80 486x60 Social Media Send the message to young people and to ...

  9. Drugs + HIV, Learn the Link

    Full Text Available ... Parents & Educators Children & Teens Search Connect with NIDA : Facebook LinkedIn Twitter YouTube Flickr RSS Menu Home Drugs ... HIV Learn the Link - Drugs and HIV Email Facebook Twitter 2005 –Ongoing Behaviors associated with drug misuse ...

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

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

    2017-01-01

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

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

    White, Sheida

    2012-01-01

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

  12. Automatic sets and Delone sets

    Barbe, A; Haeseler, F von

    2004-01-01

    Automatic sets D part of Z m are characterized by having a finite number of decimations. They are equivalently generated by fixed points of certain substitution systems, or by certain finite automata. As examples, two-dimensional versions of the Thue-Morse, Baum-Sweet, Rudin-Shapiro and paperfolding sequences are presented. We give a necessary and sufficient condition for an automatic set D part of Z m to be a Delone set in R m . The result is then extended to automatic sets that are defined as fixed points of certain substitutions. The morphology of automatic sets is discussed by means of examples

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

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

    2014-01-01

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

  14. Visualizing the semantic content of large text databases using text maps

    Combs, Nathan

    1993-01-01

    A methodology for generating text map representations of the semantic content of text databases is presented. Text maps provide a graphical metaphor for conceptualizing and visualizing the contents and data interrelationships of large text databases. Described are a set of experiments conducted against the TIPSTER corpora of Wall Street Journal articles. These experiments provide an introduction to current work in the representation and visualization of documents by way of their semantic content.

  15. Drugs + HIV, Learn the Link

    Full Text Available ... Notes Podcasts E-Newsletters Public Education Projects National Drug & Alcohol Facts Week NIDA TV PEERx Drugs & Health Blog ... Award for Addiction Science USA Science & Engineering Festival Drug & Alcohol Chat Day HBO Addiction Project Learn the Link ...

  16. Drugs + HIV, Learn the Link

    Full Text Available ... she went to a party and under the influence of drugs and alcohol engaged in risky sexual ... the message to young people and to parents, teachers, and the media about the link between drug ...

  17. Drugs + HIV, Learn the Link

    Full Text Available ... Drugs and HIV Learn the Link - Drugs and HIV Email Facebook Twitter 2005 –Ongoing Behaviors associated with ... Send the Message . Get the Facts What are HIV and AIDS? HIV (human immunodeficiency virus) is the ...

  18. Drugs + HIV, Learn the Link

    Full Text Available Skip to main content En español Researchers Medical & Health Professionals Patients & Families Parents & Educators Children & Teens Search Connect with NIDA : Facebook LinkedIn Twitter YouTube Flickr RSS Menu ...

  19. Drugs + HIV, Learn the Link

    Full Text Available ... Link between drug use and HIV and to help us Send the Message . Get the Facts What ... and the public. Send the Message Overview Please help us send the message to young people and ...

  20. Drugs + HIV, Learn the Link

    Full Text Available ... people on HAART (highly active antiretroviral therapy), for example, who continue to misuse drugs. The Learn the Link public service campaign is just one example of how NIDA continues to respond to the ...

  1. Drugs + HIV, Learn the Link

    Full Text Available ... HIV Learn the Link - Drugs and HIV ... Drugs can change the way the brain works, disrupting the parts of the brain that people use to weigh risks and benefits when making decisions. ...

  2. Drugs + HIV, Learn the Link

    Full Text Available ... HIV (human immunodeficiency virus) is the virus that causes AIDS (acquired immune deficiency syndrome). AIDS is a ... time. The virus (HIV) and the disease it causes (AIDS) are often linked and referred to as " ...

  3. Drugs + HIV, Learn the Link

    Full Text Available ... It contains information for young people, parents and teachers, and the media with links to our latest ... greater injury to cells in the brain and cognitive impairment among people who use methamphetamine than among ...

  4. Drugs + HIV, Learn the Link

    Full Text Available ... of many drugs, which can alter judgment and inhibition and lead people to engage in impulsive and ... easily copy and paste to help show your support for Learn the Link . Be sure to check ...

  5. Drugs + HIV, Learn the Link

    Full Text Available ... NIDA Donating to NIDA Frequently Asked Questions Contact Us Sharing Tools and Badges Other Resources Strategic Plan Search Share Print Home » News & Events » Public Education Projects » Learn the Link - Drugs and HIV Learn ...

  6. Drugs + HIV, Learn the Link

    Full Text Available ... contracting or transmitting HIV/AIDS or other infectious diseases. Research Reports: HIV/AIDS : Explores the link between drug misuse and HIV/AIDS, populations most at risk, trends in HIV/AIDS, and ...

  7. Drugs + HIV, Learn the Link

    Full Text Available ... Process Funding Priorities Research Training News & Events News Nora's Blog NIDA in the News NIDA Notes Podcasts ... of the National Institute on Drug Abuse, Dr. Nora D. Volkow. Message from the Director The Link ...

  8. Drugs + HIV, Learn the Link

    Full Text Available ... their lives , but now their night out always will be associated with HIV/AIDS. The “d’cisions” ... for breaking the harmful links between them, we will continue to update this Web site. Sincerely, Nora ...

  9. Drugs + HIV, Learn the Link

    Full Text Available ... Link" campaign continues to raise awareness among this generation of the real risks of drug use for ... Resource Center (NWHRC) Mujeres Unidas Contra el SIDA New Mexico AIDS Services African Advocates Against AIDS The ...

  10. Drugs + HIV, Learn the Link

    Full Text Available ... link between non-injection drug use and HIV. Television Networks: MunDos Azteca America ... and Families The American Academy of Child & Adolescent Psychiatry (AACAP) The United Negro College Fund, ...

  11. Drugs + HIV, Learn the Link

    Full Text Available ... of people infected with HIV, drug misuse can interfere with an individual's likelihood of adhering to the ... HIV/AIDS and the discovery of promising treatment interventions for breaking the harmful links between them, we ...

  12. Drugs + HIV, Learn the Link

    Full Text Available ... other organizations in your tweets to spread the word even further. Tweet About Learn the Link To ... other organizations in your tweets to spread the word even further. Share with Flickr, Pinterest or Instagram ...

  13. Drugs + HIV, Learn the Link

    Full Text Available ... can affect anyone. Watch the “d’cisions” Videos Campaign Materials After the Party Posters: We have developed ... share on your social media accounts. About the Campaign Overview The Learn the Link campaign uses TV, ...

  14. Drugs + HIV, Learn the Link

    Full Text Available ... the main factors in the spread of HIV infection in the United States. Drugs can change the ... about the link between drug misuse and HIV infection. It contains information for young people, parents and ...

  15. Drugs + HIV, Learn the Link

    Full Text Available ... Parents & Educators Children & Teens Search Connect with NIDA : Facebook LinkedIn Twitter YouTube Flickr RSS Menu Home Drugs of Abuse Commonly Abused Drugs Charts Emerging Trends and Alerts ...

  16. Drugs + HIV, Learn the Link

    Full Text Available ... En español Researchers Medical & Health Professionals Patients & Families Parents & Educators Children & Teens Search Connect with NIDA : Facebook ... HIV infection. It contains information for young people, parents and teachers, and the media with links to ...

  17. Drugs + HIV, Learn the Link

    Full Text Available ... NIDA’s "Learn the Link" campaign continues to raise awareness among this generation of the real risks of ... Collaborators Thanks to Those Who Have Helped Raise Awareness of Our Campaign! NIDA acknowledges the following television ...

  18. Drugs + HIV, Learn the Link

    Full Text Available ... educational institutions, magazines, newspapers, companies, events, and radio stations for helping to raise awareness of the link ... Poets Sistahs Getting Real About HIV Conference Radio Stations: WTOP Radio WPFW Radio WOL Radio News & Events ...

  19. Drugs + HIV, Learn the Link

    Full Text Available ... Addiction Science Adolescent Brain Comorbidity College-Age & Young Adults Criminal Justice Drugged Driving Drug Testing Drugs and ... Link campaign. This campaign shows teens and young adults that non-injection drug use and alcohol use ...

  20. Drugs + HIV, Learn the Link

    Full Text Available ... works, disrupting the parts of the brain that people use to weigh risks and benefits when making ... and HIV infection. It contains information for young people, parents and teachers, and the media with links ...

  1. Drugs + HIV, Learn the Link

    Full Text Available ... causes (AIDS) are often linked and referred to as "HIV/AIDS." HIV can be transferred between people ... years, HIV is no longer a death sentence, as it was when the epidemic began. This is ...

  2. Drugs + HIV, Learn the Link

    Full Text Available ... Campaign Overview The Learn the Link campaign uses TV, print, and Web public service announcements (PSAs), as ... CW BET NBC ABC FOX LATV My Network TV Organizations: AIDS.gov AIDS Alliance for Children, Youth ...

  3. Drugs + HIV, Learn the Link

    Full Text Available ... risky behavior. Drug misuse by any route (not just injection) can put a person at risk for ... The Learn the Link public service campaign is just one example of how NIDA continues to respond ...

  4. Drugs + HIV, Learn the Link

    Full Text Available ... your Flickr, Pinterest, Instagram or other visually interesting page using pictures from NIDA ... Link campaign uses TV, print, and Web public service announcements (PSAs), as well as posters, ...

  5. Drugs + HIV, Learn the Link

    Full Text Available ... of HIV infection in the United States. Drugs can change the way the brain works, disrupting the ... linked and referred to as "HIV/AIDS." HIV can be transferred between people if an infected person's ...

  6. Drugs + HIV, Learn the Link

    Full Text Available ... Researchers Medical & Health Professionals Patients & Families Parents & Educators Children & Teens Search Connect with NIDA : Facebook LinkedIn Twitter ... Network TV Organizations: AIDS.gov AIDS Alliance for Children, Youth and Families The American Academy of Child & ...

  7. Drugs + HIV, Learn the Link

    Full Text Available ... Link Videos NIDA and Scholastic - Heads Up NIDA Media Campaign Postcards Public Service Announcements Other Government Observances for Substance Abuse Education Contact the Press Office Meetings & Events Media Guide ...

  8. Drugs + HIV, Learn the Link

    Full Text Available ... November 2017. How are Drug Misuse and HIV Related? Drug misuse and addiction have been linked with ... Campaign messages and materials were tested among various groups of young people, guiding the use of technology, ...

  9. Drugs + HIV, Learn the Link

    Full Text Available ... the Link campaign. This campaign shows teens and young adults that non-injection drug use and alcohol ... After the Party Posters: We have developed posters with our campaign ...

  10. Drugs + HIV, Learn the Link

    Full Text Available ... Learn the Link campaign uses TV, print, and Web public service announcements (PSAs), as well as posters, e-cards, and other tools to send the message to America's youth that ...

  11. Drugs + HIV, Learn the Link

    Full Text Available ... the Learn the Link message. Campaign messages and materials were tested among various groups of young people, guiding the use of technology, the discussion between friends, and the importance of family. For ...

  12. Drugs + HIV, Learn the Link

    Full Text Available ... Learn the Link with Videos We have numerous videos on our website that are available for your use to share on your social media accounts. About the Campaign Overview The Learn the ...

  13. Drugs + HIV, Learn the Link

    Full Text Available ... increases brain viral load and activates natural killer cells in simian immunodeficiency ... out with friends? It’s a topic you can’t ignore. Learn the Link: http://1.usa.gov/ ...

  14. Drugs + HIV, Learn the Link

    Full Text Available ... pictures from NIDA images. Visit the NIDA Flickr account for images. Share your favorite image! Check out ... your use to share on your social media accounts. About the Campaign Overview The Learn the Link ...

  15. Drugs + HIV, Learn the Link

    Full Text Available ... Prevention Recovery Substance Use and SUDs in LGBT Populations Treatment Trends & Statistics Women and Drugs Publications Search ... the link between drug misuse and HIV/AIDS, populations most at risk, trends in HIV/AIDS, and ...

  16. Congested Link Inference Algorithms in Dynamic Routing IP Network

    Yu Chen

    2017-01-01

    Full Text Available The performance descending of current congested link inference algorithms is obviously in dynamic routing IP network, such as the most classical algorithm CLINK. To overcome this problem, based on the assumptions of Markov property and time homogeneity, we build a kind of Variable Structure Discrete Dynamic Bayesian (VSDDB network simplified model of dynamic routing IP network. Under the simplified VSDDB model, based on the Bayesian Maximum A Posteriori (BMAP and Rest Bayesian Network Model (RBNM, we proposed an Improved CLINK (ICLINK algorithm. Considering the concurrent phenomenon of multiple link congestion usually happens, we also proposed algorithm CLILRS (Congested Link Inference algorithm based on Lagrangian Relaxation Subgradient to infer the set of congested links. We validated our results by the experiments of analogy, simulation, and actual Internet.

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

    Tourte, Gregory J L

    2016-01-01

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

  18. Possibility Fuzzy Soft Set

    Shawkat Alkhazaleh

    2011-01-01

    Full Text Available We introduce the concept of possibility fuzzy soft set and its operation and study some of its properties. We give applications of this theory in solving a decision-making problem. We also introduce a similarity measure of two possibility fuzzy soft sets and discuss their application in a medical diagnosis problem.

  19. Knowledge Revision Processes in Refutation Texts

    Kendeou, Panayiota; Walsh, Erinn K.; Smith, Emily R.; O'Brien, Edward J.

    2014-01-01

    In the present set of experiments, we systematically examined the processes that occur while reading texts designed to refute and explain commonsense beliefs that reside in readers' long-term memory. In Experiment 1 (n = 36), providing readers with a refutation-plus-explanation of a commonsense belief was sufficient to significantly reduce…

  20. Informational Text and the CCSS

    Aspen Institute, 2012

    2012-01-01

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

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

    Toth, Cheryl; Sacopulos, Michael J

    2015-01-01

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

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

    Rao, K Sreenivasa

    2012-01-01

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

  3. Monitoring interaction and collective text production through text mining

    Macedo, Alexandra Lorandi

    2014-04-01

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

  4. Improved Battery Charger Circuit Utilizing Reduced DC-link Capacitors

    Vencislav Valchev

    2017-11-01

    Full Text Available The article presents a comparison of advantages and disadvantages of a battery charger circuit with and without the use of DC-link capacitors in it. The specific application requirements, namely ultra-light electric vehicles, are set as lightness, efficiency and robustness of the design. Prove of greater reliability and improvement on maintenance costs without significant decrease in the quality of charging process with the removal of DC-link capacitors in rectifier and boost converter circuits is accomplished. The proposed circuit parameters are analyzed by carried out simulations.

  5. TEXT DEIXIS IN NARRATIVE SEQUENCES

    Josep Rivera

    2007-06-01

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

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

    Cosgrove, Cornelius

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

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

    Zhan Ye

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

  8. Dynamic Chemical Model for $\\text {H} _2 $/$\\text {O} _2 $ Combustion Developed Through a Community Workflow

    Oreluk, James

    2018-01-30

    Elementary-reaction models for $\\\\text{H}_2$/$\\\\text{O}_2$ combustion were evaluated and optimized through a collaborative workflow, establishing accuracy and characterizing uncertainties. Quantitative findings were the optimized model, the importance of $\\\\text{H}_2 + \\\\text{O}_2(1\\\\Delta) = \\\\text{H} + \\\\text{HO}_2$ in high-pressure flames, and the inconsistency of certain low-temperature shock-tube data. The workflow described here is proposed to be even more important because the approach and publicly available cyberinfrastructure allows future community development of evolving improvements. The workflow steps applied here were to develop an initial reaction set using Burke et al. [2012], Burke et al. [2013], Sellevag et al. [2009], and Konnov [2015]; test it for thermodynamic and kinetics consistency and plausibility against other sets in the literature; assign estimated uncertainties where not stated in the sources; select key data targets (

  9. Dynamic Chemical Model for $\\text {H} _2 $/$\\text {O} _2 $ Combustion Developed Through a Community Workflow

    Oreluk, James; Needham, Craig D.; Baskaran, Sathya; Sarathy, Mani; Burke, Michael P.; West, Richard H.; Frenklach, Michael; Westmoreland, Phillip R.

    2018-01-01

    Elementary-reaction models for $\\text{H}_2$/$\\text{O}_2$ combustion were evaluated and optimized through a collaborative workflow, establishing accuracy and characterizing uncertainties. Quantitative findings were the optimized model, the importance of $\\text{H}_2 + \\text{O}_2(1\\Delta) = \\text{H} + \\text{HO}_2$ in high-pressure flames, and the inconsistency of certain low-temperature shock-tube data. The workflow described here is proposed to be even more important because the approach and publicly available cyberinfrastructure allows future community development of evolving improvements. The workflow steps applied here were to develop an initial reaction set using Burke et al. [2012], Burke et al. [2013], Sellevag et al. [2009], and Konnov [2015]; test it for thermodynamic and kinetics consistency and plausibility against other sets in the literature; assign estimated uncertainties where not stated in the sources; select key data targets (

  10. Knowledge Representation in Travelling Texts

    Mousten, Birthe; Locmele, Gunta

    2014-01-01

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

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

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

    2014-11-01

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

  12. SparkText: Biomedical Text Mining on Big Data Framework

    He, Karen Y.; Wang, Kai

    2016-01-01

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

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

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

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

  14. Active Learning for Text Classification

    Hu, Rong

    2011-01-01

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

  15. Text Mining Applications and Theory

    Berry, Michael W

    2010-01-01

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

  16. Text mining resources for the life sciences.

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

    2016-01-01

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

  17. Text mining resources for the life sciences

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

    2016-01-01

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

  18. Sex-linked dominant

    Inheritance - sex-linked dominant; Genetics - sex-linked dominant; X-linked dominant; Y-linked dominant ... can be either an autosomal chromosome or a sex chromosome. It also depends on whether the trait ...

  19. Drugs + HIV, Learn the Link

    Full Text Available ... HIV/AIDS, and the general public. U.S. National Library of Medicine HIV/AIDS ... produced a set of multicultural public service announcements (PSAs) that use text messaging ...

  20. Text and ideology: text-oriented discourse analysis

    Maria Eduarda Gonçalves Peixoto

    2018-04-01

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

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

    Ahmad Amin Dalimunte, M.Hum

    2013-09-01

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

  2. Text Genres in Information Organization

    Nahotko, Marek

    2016-01-01

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

  3. Strategies for Translating Vocative Texts

    Olga COJOCARU

    2014-12-01

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

  4. Linguistic Dating of Biblical Texts

    Ehrensvärd, Martin Gustaf

    2003-01-01

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

  5. Drugs + HIV, Learn the Link

    Full Text Available ... projects/learn-link-drugs-hiv . 120x90 460x80 486x60 Social Media Send the message to young people and ... the Party" "Text Message" NIDA Home Site Map Accessibility Privacy FOIA(NIH) Working at NIDA FAQs Contact ...

  6. Text Comprehension And roduction in University Students: Text Reformulation

    Tittarelli, Ana María; Piacente, Irma Telma

    2006-01-01

    This paper sets out to report on findings about features of task-specific reformulation observed in university students in the middle stretch of the Psychology degree course (N=58) and in a reference group of students from the degree courses in Modern Languages, Spanish and Library Studies (N=33) from the National University of La Plata (Argentina). Three types of reformulation were modeled: summary reformulation, comprehensive and productive reformulation.The study was based on a corpus of 6...

  7. Text comprehension and production in university students: text reformulation

    Tittarelli, Ana María; Piacente, Telma

    2006-01-01

    This paper sets out to report on findings about features of task-specific reformulation observed in university students in the middle stretch of the Psychology degree course (N=58) and in a reference group of students from the degree courses in Modern Languages, Spanish and Library Studies (N=33) from the National University of La Plata (Argentina). Three types of reformulation were modeled: summary reformulation, comprehensive and productive reformulation.The study was based on a corpus of 6...

  8. Biomarker Identification Using Text Mining

    Hui Li

    2012-01-01

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

  9. Text mining for the biocuration workflow.

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

    2012-01-01

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

  10. Schema-Based Text Comprehension

    Ensar, Ferhat

    2015-01-01

    Schema is one of the most common terms used for classifying and constructing knowledge. Therefore, a schema is a pre-planned set of concepts. It usually contains social information and is used to represent chain of events, perceptions, situations, relationships and even objects. For example, Kant initially defines the idea of schema as some…

  11. Functional Stylistics and Peripeteic Texts

    Borchmann, Simon

    2008-01-01

    Using a pragmatically based linguistic description apparatus on literary use of language is not unproblematic. Observations show that literary use of language violates the norms contained by this apparatus. With this paper I suggest how we can deal with this problem by setting up a frame for the ...

  12. Anomaly Detection with Text Mining

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

  13. Social Studies: Texts and Supplements.

    Curriculum Review, 1979

    1979-01-01

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

  14. Link Anchors in Images: Is there Truth?

    Aly, Robin; McGuinness, Kevin; Kleppe, Martijn; Ordelman, Roeland J.F.; O'Connor, Noel; de Jong, Franciska M.G.

    2012-01-01

    While automatic linking in text collections is well understood, little is known about links in images. In this work, we investigate two aspects of anchors, the origin of a link, in images: 1) the requirements of users for such anchors, e.g. the things users would like more information on, and 2)

  15. GPU-Accelerated Text Mining

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

    2009-01-01

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

  16. Comprehending text in literature class

    Purić Daliborka S.

    2016-01-01

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

  17. Figure-associated text summarization and evaluation.

    Balaji Polepalli Ramesh

    Full Text Available Biomedical literature incorporates millions of figures, which are a rich and important knowledge resource for biomedical researchers. Scientists need access to the figures and the knowledge they represent in order to validate research findings and to generate new hypotheses. By themselves, these figures are nearly always incomprehensible to both humans and machines and their associated texts are therefore essential for full comprehension. The associated text of a figure, however, is scattered throughout its full-text article and contains redundant information content. In this paper, we report the continued development and evaluation of several figure summarization systems, the FigSum+ systems, that automatically identify associated texts, remove redundant information, and generate a text summary for every figure in an article. Using a set of 94 annotated figures selected from 19 different journals, we conducted an intrinsic evaluation of FigSum+. We evaluate the performance by precision, recall, F1, and ROUGE scores. The best FigSum+ system is based on an unsupervised method, achieving F1 score of 0.66 and ROUGE-1 score of 0.97. The annotated data is available at figshare.com (http://figshare.com/articles/Figure_Associated_Text_Summarization_and_Evaluation/858903.

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

    Delgado de Valencia Sonia

    2001-08-01

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

  19. Individual Profiling Using Text Analysis

    2016-04-15

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

  20. Identifying issue frames in text.

    Eyal Sagi

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

  1. Finding text in color images

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

    1998-04-01

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

  2. Linking Customer Interaction and Innovation

    Foss, Nicolai Juul; Laursen, Keld; Pedersen, Torben

    2011-01-01

    employees for sharing and acquiring knowledge, and high levels of delegation of decision rights. In this paper, six hypotheses were developed and tested on a data set of 169 Danish firms drawn from a 2001 survey of the 1,000 largest firms in Denmark. A key result is that the link from customer knowledge...

  3. Multilingual text induced spelling correction

    Reynaert, M.W.C.

    2004-01-01

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

  4. Automated analysis of instructional text

    Norton, L.M.

    1983-05-01

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

  5. Solar Concepts: A Background Text.

    Gorham, Jonathan W.

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

  6. FTP: Full-Text Publishing?

    Jul, Erik

    1992-01-01

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

  7. Quality Inspection of Printed Texts

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

    2016-01-01

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

  8. Basic set theory

    Levy, Azriel

    2002-01-01

    An advanced-level treatment of the basics of set theory, this text offers students a firm foundation, stopping just short of the areas employing model-theoretic methods. Geared toward upper-level undergraduate and graduate students, it consists of two parts: the first covers pure set theory, including the basic motions, order and well-foundedness, cardinal numbers, the ordinals, and the axiom of choice and some of it consequences; the second deals with applications and advanced topics such as point set topology, real spaces, Boolean algebras, and infinite combinatorics and large cardinals. An

  9. Sets in Coq, Coq in Sets

    Bruno Barras

    2010-01-01

    Full Text Available This work is about formalizing models of various type theories of the Calculus of Constructions family. Here we focus on set theoretical models. The long-term goal is to build a formal set theoretical model of the Calculus of Inductive Constructions, so we can be sure that Coq is consistent with the language used by most mathematicians.One aspect of this work is to axiomatize several set theories: ZF possibly with inaccessible cardinals, and HF, the theory of hereditarily finite sets. On top of these theories we have developped a piece of the usual set theoretical construction of functions, ordinals and fixpoint theory. We then proved sound several models of the Calculus of Constructions, its extension with an infinite hierarchy of universes, and its extension with the inductive type of natural numbers where recursion follows the type-based termination approach.The other aspect is to try and discharge (most of these assumptions. The goal here is rather to compare the theoretical strengths of all these formalisms. As already noticed by Werner, the replacement axiom of ZF in its general form seems to require a type-theoretical axiom of choice (TTAC.

  10. Monolingual accounting dictionaries for EFL text production

    Nielsen, Sandro

    2006-01-01

    Monolingual accounting dictionaries are important for producing financial reporting texts in English in an international setting, because of the lack of specialised bilingual dictionaries. As the intended user groups have different factual and linguistic competences, they require specific types...... text production. The monolingual accounting dictionary needs to include information about UK, US and international accounting terms, their grammatical properties, their potential for being combined with other words in collocations, phrases and sentences in order to meet user requirements. Data items...... of information. By identifying and analysing the users' factual and linguistic competences, user needs, use-situations and the stages involved in producing accounting texts in English as a foreign language, lexicographers will have a sound basis for designing the optimal English accounting dictionary for EFL...

  11. Monolingual Accounting Dictionaries for EFL Text Production

    Nielsen, Sandro

    2009-01-01

    Monolingual accounting dictionaries are important for producing financial reporting texts in English in an international setting, because of the lack of specialised bilingual dictionaries. As the intended user groups have different factual and linguistic competences, they require specific types...... text production. The monolingual accounting dictionary needs to include information about UK, US and international accounting terms, their grammatical properties, their potential for being combined with other words in collocations, phrases and sentences in order to meet user requirements. Data items...... of information. By identifying and analysing the users' factual and linguistic competences, user needs, use-situations and the stages involved in producing accounting texts in English as a foreign language, lexicographers will have a sound basis for designing the optimal English accounting dictionary for EFL...

  12. Difference sets connecting algebra, combinatorics, and geometry

    Moore, Emily H

    2013-01-01

    Difference sets belong both to group theory and to combinatorics. Studying them requires tools from geometry, number theory, and representation theory. This book lays a foundation for these topics, including a primer on representations and characters of finite groups. It makes the research literature on difference sets accessible to students who have studied linear algebra and abstract algebra, and it prepares them to do their own research. This text is suitable for an undergraduate capstone course, since it illuminates the many links among topics that the students have already studied. To this end, almost every chapter ends with a coda highlighting the main ideas and emphasizing mathematical connections. This book can also be used for self-study by anyone interested in these connections and concrete examples. An abundance of exercises, varying from straightforward to challenging, invites the reader to solve puzzles, construct proofs, and investigate problems--by hand or on a computer. Hints and solutions are...

  13. Ideas for Testing of Planetary Gear Sets of Automotive Transmissions

    Achtenová Gabriela

    2017-06-01

    Full Text Available The article describes the concept of modular stand, where is possible to provide tests of gear pairs with fixed axes from mechanical automotive gearboxes, as well as tests of separate planetary sets from automatic gearboxes. Special attention in the article will be paid to the variant dedicated for testing of planetary gear sets. This variant is particularly interesting because: 1 it is rarely described in the literature, and 2 this topology allows big simplification with respect to testing of standard gearwheels. In the planetary closed-loop stand it is possible to directly link two identical planetary sets. Without any bracing flange or other connecting clutches, shafts or gear sets, just two planetary sets face-to-face will be assembled and connected to the electric motor.

  14. Monolingual accounting dictionaries for EFL text production

    Sandro Nielsen

    2006-10-01

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

  15. Figure-associated text summarization and evaluation.

    Polepalli Ramesh, Balaji; Sethi, Ricky J; Yu, Hong

    2015-01-01

    Biomedical literature incorporates millions of figures, which are a rich and important knowledge resource for biomedical researchers. Scientists need access to the figures and the knowledge they represent in order to validate research findings and to generate new hypotheses. By themselves, these figures are nearly always incomprehensible to both humans and machines and their associated texts are therefore essential for full comprehension. The associated text of a figure, however, is scattered throughout its full-text article and contains redundant information content. In this paper, we report the continued development and evaluation of several figure summarization systems, the FigSum+ systems, that automatically identify associated texts, remove redundant information, and generate a text summary for every figure in an article. Using a set of 94 annotated figures selected from 19 different journals, we conducted an intrinsic evaluation of FigSum+. We evaluate the performance by precision, recall, F1, and ROUGE scores. The best FigSum+ system is based on an unsupervised method, achieving F1 score of 0.66 and ROUGE-1 score of 0.97. The annotated data is available at figshare.com (http://figshare.com/articles/Figure_Associated_Text_Summarization_and_Evaluation/858903).

  16. Linked data: un nuovo alfabeto del web semantico

    Mauro Guerrini

    2013-01-01

    Full Text Available The paper defines the linked data as a set of best practices that are used to publish data on the web using a machine; the technology (or mode of realization of linked data is associated with the concept of the semantic web. It is the area of the semantic web, or web of data, as defined by Tim Berners-Lee "A web of things in the world, described by data on the web". The paper highlights the continuities and differences between semantic web and web traditional, or web documents. The analysis of linked data takes place within the world of libraries, archives and museums, traditionally committed to high standards for structuring and sharing of data. The data, in fact, assume the role of generating quality information for the network. The production of linked data requires compliance with rules and the use of specific technologies and languages, especially in the case of publication of linked data in open mode. The production cycle of linked data may be the track, or a guideline, for institutions that wish to join projects to publish their data. Data quality is assessed through a rating system designed by Tim Berners-Lee.

  17. Lightweight Biometric Sensing for Walker Classification Using Narrowband RF Links

    Tong Liu

    2017-12-01

    Full Text Available This article proposes a lightweight biometric sensing system using ubiquitous narrowband radio frequency (RF links for path-dependent walker classification. The fluctuated received signal strength (RSS sequence generated by human motion is used for feature representation. To capture the most discriminative characteristics of individuals, a three-layer RF sensing network is organized for building multiple sampling links at the most common heights of upper limbs, thighs, and lower legs. The optimal parameters of sensing configuration, such as the height of link location and number of fused links, are investigated to improve sensory data distinctions among subjects, and the experimental results suggest that the synergistic sensing by using multiple links can contribute a better performance. This is the new consideration of using RF links in building a biometric sensing system. In addition, two types of classification methods involving vector quantization (VQ and hidden Markov models (HMMs are developed and compared for closed-set walker recognition and verification. Experimental studies in indoor line-of-sight (LOS and non-line-of-sight (NLOS scenarios are conducted to validate the proposed method.

  18. Cluster Based Text Classification Model

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

    2011-01-01

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

  19. Linguistic dating of biblical texts

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

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

  20. Text as an Autopoietic System

    Nicolaisen, Maria Skou

    2016-01-01

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

  1. Making School Development Credible. Text, Context, Irony

    Mats Börjesson

    2012-01-01

    Full Text Available

    The article argues for the importance of an open, reflexive-methodological approach when switching between studying text, context and researcher activity. Close linguistic analysis can benefit from being linked with the researcher’s contextualisation of his empirical material as well as with more distanced readings. The more specific starting point for this article is that school development, like other similar terms such as school improvement and the like, makes use of linguistic building blocks with which whole narratives about today’s and tomorrow’s schools can be constructed. The subject of the study is a short text issued by the Swedish Schools Inspectorate (Skolinspektionen. Government language changes according to the authorities’ role in society and their own definitions of their functions, and an important aspect here is the legitimacy of the authorities’ texts. By means of various kinds of close linguistic analysis, the above-mentioned text is studied with regard to choice of categories, hierarchies of modalisation and the rhetorical effects of different types of formulations in a broader political-social landscape. The article concludes with a reflective discussion on the relationship between government language and irony as a stylistic device – a device that is based on the results of the close empirical analysis.[i]



    [i] The article is part of the project ”School  Development as Narrative”, funded by the Swedish Research Council. The author would like to thank the two reviewers for very valuable comments.

  2. Text mining for the biocuration workflow

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

    2012-01-01

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

  3. Comprehension and Analysis of Information in Text: I. Construction and Evaluation of Brief Texts.

    Kozminsky, Ely; And Others

    This report describes a series of studies designed to construct and validate a set of text materials necessary to the pursuance of a long-term research project on information analysis and integration in semantically rich, naturalistic domains, primarily in the domain of the stock market. The methods and results of six separate experiments on…

  4. Text mining by Tsallis entropy

    Jamaati, Maryam; Mehri, Ali

    2018-01-01

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

  5. Biased limiter experiments on text

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

    1987-01-01

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

  6. n-Gram-Based Text Compression

    Vu H. Nguyen

    2016-01-01

    Full Text Available We propose an efficient method for compressing Vietnamese text using n-gram dictionaries. It has a significant compression ratio in comparison with those of state-of-the-art methods on the same dataset. Given a text, first, the proposed method splits it into n-grams and then encodes them based on n-gram dictionaries. In the encoding phase, we use a sliding window with a size that ranges from bigram to five grams to obtain the best encoding stream. Each n-gram is encoded by two to four bytes accordingly based on its corresponding n-gram dictionary. We collected 2.5 GB text corpus from some Vietnamese news agencies to build n-gram dictionaries from unigram to five grams and achieve dictionaries with a size of 12 GB in total. In order to evaluate our method, we collected a testing set of 10 different text files with different sizes. The experimental results indicate that our method achieves compression ratio around 90% and outperforms state-of-the-art methods.

  7. On the classification of links up to finite type

    Habegger, Nathan; Meilhan, Jean-Baptiste

    We use an action, of 2l-component string links on l-component string links, defined by the first author and Xiao-Song Lin, to lift the indeterminacy of finite type link invariants. The set of links up to this new indeterminacy is in bijection with the orbit space of the restriction of this action...

  8. Transfer Learning beyond Text Classification

    Yang, Qiang

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

  9. Texting preferences in a Paediatric residency.

    Draper, Lauren; Kuklinski, Cadence; Ladley, Amy; Adamson, Greg; Broom, Matthew

    2017-12-01

    Text messaging is ubiquitous among residents, but remains an underused educational tool. Though feasibility has been demonstrated, evidence of its ability to improve standardised test scores and provide insight on resident texting preferences is lacking. The authors set out to evaluate: (1) satisfaction with a hybrid question-and-answer (Q&A) texting format; and (2) pre-/post-paediatric in-training exam (ITE) performance. A prospective study with paediatrics and internal medicine-paediatrics residents. Residents were divided into subgroups: adolescent medicine (AM) and developmental medicine (DM). Messages were derived from ITE questions and sent Monday-Friday with a 20 per cent variance in messages specific to the sub-group. Residents completed surveys gauging perceptions of the programme, and pre- and post-programme ITE scores were analysed. Forty-one residents enrolled and 32 (78%) completed a post-programme survey. Of those, 21 (66%) preferred a Q&A format with an immediate text response versus information-only texts. The percentage change in ITE scores between 2013 and 2014 was significant. Comparing subgroups, there was no significant difference between the percentage change in ITE scores. Neither group performed significantly better on either the adolescent or developmental sections of the ITE. Text messaging… remains an underused educational tool CONCLUSIONS: Overall, participants improved their ITE scores, but no improvement was seen in the targeted subgroups on the exam. Although Q&A texts are preferred by residents, further assessment is required to assess the effect on educational outcomes. © 2017 John Wiley & Sons Ltd and The Association for the Study of Medical Education.

  10. Methods for Mining and Summarizing Text Conversations

    Carenini, Giuseppe; Murray, Gabriel

    2011-01-01

    Due to the Internet Revolution, human conversational data -- in written forms -- are accumulating at a phenomenal rate. At the same time, improvements in speech technology enable many spoken conversations to be transcribed. Individuals and organizations engage in email exchanges, face-to-face meetings, blogging, texting and other social media activities. The advances in natural language processing provide ample opportunities for these "informal documents" to be analyzed and mined, thus creating numerous new and valuable applications. This book presents a set of computational methods

  11. Unsupervised information extraction by text segmentation

    Cortez, Eli

    2013-01-01

    A new unsupervised approach to the problem of Information Extraction by Text Segmentation (IETS) is proposed, implemented and evaluated herein. The authors' approach relies on information available on pre-existing data to learn how to associate segments in the input string with attributes of a given domain relying on a very effective set of content-based features. The effectiveness of the content-based features is also exploited to directly learn from test data structure-based features, with no previous human-driven training, a feature unique to the presented approach. Based on the approach, a

  12. Lebesgue Sets Immeasurable Existence

    Diana Marginean Petrovai

    2012-12-01

    Full Text Available It is well known that the notion of measure and integral were released early enough in close connection with practical problems of measuring of geometric figures. Notion of measure was outlined in the early 20th century through H. Lebesgue’s research, founder of the modern theory of measure and integral. It was developed concurrently a technique of integration of functions. Gradually it was formed a specific area todaycalled the measure and integral theory. Essential contributions to building this theory was made by a large number of mathematicians: C. Carathodory, J. Radon, O. Nikodym, S. Bochner, J. Pettis, P. Halmos and many others. In the following we present several abstract sets, classes of sets. There exists the sets which are not Lebesgue measurable and the sets which are Lebesgue measurable but are not Borel measurable. Hence B ⊂ L ⊂ P(X.

  13. Soft sets combined with interval valued intuitionistic fuzzy sets of type-2 and rough sets

    Anjan Mukherjee

    2015-03-01

    Full Text Available Fuzzy set theory, rough set theory and soft set theory are all mathematical tools dealing with uncertainties. The concept of type-2 fuzzy sets was introduced by Zadeh in 1975 which was extended to interval valued intuitionistic fuzzy sets of type-2 by the authors.This paper is devoted to the discussions of the combinations of interval valued intuitionistic sets of type-2, soft sets and rough sets.Three different types of new hybrid models, namely-interval valued intuitionistic fuzzy soft sets of type-2, soft rough interval valued intuitionistic fuzzy sets of type-2 and soft interval valued intuitionistic fuzzy rough sets of type-2 are proposed and their properties are derived.

  14. Using ontology network structure in text mining.

    Berndt, Donald J; McCart, James A; Luther, Stephen L

    2010-11-13

    Statistical text mining treats documents as bags of words, with a focus on term frequencies within documents and across document collections. Unlike natural language processing (NLP) techniques that rely on an engineered vocabulary or a full-featured ontology, statistical approaches do not make use of domain-specific knowledge. The freedom from biases can be an advantage, but at the cost of ignoring potentially valuable knowledge. The approach proposed here investigates a hybrid strategy based on computing graph measures of term importance over an entire ontology and injecting the measures into the statistical text mining process. As a starting point, we adapt existing search engine algorithms such as PageRank and HITS to determine term importance within an ontology graph. The graph-theoretic approach is evaluated using a smoking data set from the i2b2 National Center for Biomedical Computing, cast as a simple binary classification task for categorizing smoking-related documents, demonstrating consistent improvements in accuracy.

  15. A programmed text in statistics

    Hine, J

    1975-01-01

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

  16. Drugs + HIV, Learn the Link

    Full Text Available ... and what to do to counter these trends. Online Resources NIDA for Teens Web site : This Web ... projects/learn-link-drugs-hiv . 120x90 460x80 486x60 Social Media Send the message to young people and ...

  17. Drugs + HIV, Learn the Link

    Full Text Available ... women can pass HIV to their babies during pregnancy, delivery, and breastfeeding. HIV destroys a certain kind ... at: http://www.drugabuse.gov/news-events/public-education-projects/learn-link-drugs-hiv . 120x90 460x80 486x60 ...

  18. Drugs + HIV, Learn the Link

    Full Text Available ... projects/learn-link-drugs-hiv . 120x90 460x80 486x60 Social Media Send the message to young people and ... following television networks, organizations, educational institutions, magazines, newspapers, companies, events, and radio stations for helping to raise ...

  19. Drugs + HIV, Learn the Link

    Full Text Available ... AIDS : This site provides information both for health care providers and for Veterans and the public. Send the Message Overview Please help us send the message to young people and to parents, teachers, and the media about the link between ...

  20. Drugs + HIV, Learn the Link

    Full Text Available ... Topics Addiction Science Adolescent Brain Comorbidity College-Age & Young Adults Criminal Justice Drugged Driving Drug Testing Drugs and ... the Link campaign. This campaign shows teens and young adults that non-injection drug use and alcohol use ...

  1. Drugs + HIV, Learn the Link

    Full Text Available ... News NIDA Notes Podcasts E-Newsletters Public Education Projects Contact the Press Office Meetings & Events Media Guide ... Search Share Print Home » News & Events » Public Education Projects » Learn the Link - Drugs and HIV Learn the ...

  2. Drugs + HIV, Learn the Link

    Full Text Available ... once can have serious health consequences. We also work to reach parents and teachers—influential figures in the lives of young people—with the Learn the Link message. Campaign messages and materials were tested among various groups of young people, guiding the use of technology, ...

  3. Drugs + HIV, Learn the Link

    Full Text Available Skip to main content En español Researchers Medical & Health Professionals Patients & Families Parents & Educators Children & Teens Search Connect with NIDA : Facebook LinkedIn Twitter YouTube Flickr RSS Menu Home Drugs of Abuse Commonly Abused Drugs Charts ...

  4. Drugs + HIV, Learn the Link

    Full Text Available ... projects/learn-link-drugs-hiv . 120x90 460x80 486x60 Social Media Send the message to young people and ... gov/1kSfBiz ​ Mention your friends, colleagues, or other organizations in your tweets to spread the word even ...

  5. Drugs + HIV, Learn the Link

    Full Text Available ... projects/learn-link-drugs-hiv . 120x90 460x80 486x60 Social Media Send the message to young people and ... available for your use to share on your social media accounts. About the Campaign Overview The Learn ...

  6. Drugs + HIV, Learn the Link

    Full Text Available ... Health Professionals Patients & Families Parents & Educators Children & Teens Search Connect with NIDA : Facebook LinkedIn Twitter YouTube Flickr ... Populations Treatment Trends & Statistics Women and Drugs Publications Search Publications Orderable DrugFacts Research Reports Mind Over Matter ...

  7. Drugs + HIV, Learn the Link

    Full Text Available Skip to main content En español Researchers Medical & Health Professionals Patients & Families Parents & Educators Children & Teens Search Connect with NIDA : Facebook LinkedIn Twitter YouTube Flickr RSS Menu Home Drugs of Abuse ...

  8. Drugs + HIV, Learn the Link

    Full Text Available ... Educators Children & Teens Search Connect with NIDA : Facebook LinkedIn Twitter YouTube Flickr RSS Menu Home Drugs of ... Director of the National Institute on Drug Abuse, Dr. Nora D. Volkow. Message from the Director The ...

  9. Drugs + HIV, Learn the Link

    Full Text Available ... gov/1kSfBiz ​ Mention your friends, colleagues, or other organizations in your tweets to spread the word even ... 1kSfBiz #LearntheLink Mention your friends, colleagues, or other organizations in your tweets to spread the word even ...

  10. Drugs + HIV, Learn the Link

    Full Text Available ... the News NIDA Notes Podcasts E-Newsletters Public Education Projects Contact the Press Office Meetings & Events Media ... Plan Search Share Print Home » News & Events » Public Education Projects » Learn the Link - Drugs and HIV Learn ...

  11. Drugs + HIV, Learn the Link

    Full Text Available ... Educators Children & Teens Search Connect with NIDA : Facebook LinkedIn Twitter YouTube Flickr RSS Menu Home Drugs of ... In animal studies, methamphetamine has been shown to increase the amount of HIV in brain cells 1 . ...

  12. Drugs + HIV, Learn the Link

    Full Text Available ... and Drugs Publications Search Publications Orderable DrugFacts Research Reports Mind Over Matter Science of Addiction Funding Funding ... transmitting HIV/AIDS or other infectious diseases. Research Reports: HIV/AIDS : Explores the link between drug misuse ...

  13. Drugs + HIV, Learn the Link

    Full Text Available ... HIV to their babies during pregnancy, delivery, and breastfeeding. HIV destroys a certain kind of white blood ... at: http://www.drugabuse.gov/news-events/public-education-projects/learn-link-drugs-hiv . 120x90 460x80 486x60 ...

  14. Drugs + HIV, Learn the Link

    Full Text Available ... she went to a party and under the influence of drugs and alcohol engaged in risky sexual ... learn-link-drugs-hiv . 120x90 460x80 486x60 Social Media Send the message to young people and to ...

  15. Drugs + HIV, Learn the Link

    Full Text Available ... projects/learn-link-drugs-hiv . 120x90 460x80 486x60 Social Media Send the message to young people and to ... available for your use to share on your social media accounts. About the Campaign Overview The Learn the ...

  16. Drugs + HIV, Learn the Link

    Full Text Available ... Send the Message . Get the Facts What are HIV and AIDS? HIV (human immunodeficiency virus) is the virus that ... AIDS) are often linked and referred to as "HIV/AIDS." HIV can be transferred between people if an ...

  17. Drugs + HIV, Learn the Link

    Full Text Available ... HIV > Learn the Link campaign. This campaign shows teens and young adults that non-injection drug use and alcohol use can lead to poor decision making, which can result in risky sexual behaviors and HIV infection. Although the characters are fictional, ...

  18. Drugs + HIV, Learn the Link

    Full Text Available ... at: http://www.drugabuse.gov/news-events/public-education-projects/learn-link-drugs-hiv . 120x90 460x80 486x60 Social Media Send the message to young people and to parents, teachers, and the media ...

  19. Drugs + HIV, Learn the Link

    Full Text Available ... in the spread of HIV infection in the United States. Drugs can change the way the brain works, disrupting the parts of the brain that people use to weigh risks and benefits when making decisions. This page connects you to information about the link between drug misuse and HIV ...

  20. Drugs + HIV, Learn the Link

    Full Text Available ... and what to do to counter these trends. Online Resources NIDA for Teens Web site : This Web ... at: http://www.drugabuse.gov/news-events/public-education-projects/learn-link-drugs-hiv . 120x90 460x80 486x60 ...

  1. Drugs + HIV, Learn the Link

    Full Text Available ... Adolescent Brain Comorbidity College-Age & Young Adults Criminal Justice Drugged Driving Drug Testing Drugs and the Brain ... projects/learn-link-drugs-hiv . 120x90 460x80 486x60 Social Media Send the message to young people and ...

  2. Drugs + HIV, Learn the Link

    Full Text Available ... Tobacco/Nicotine and E-Cigs Other Drugs Related Topics Addiction Science Adolescent Brain Comorbidity College-Age & Young ... parties or hanging out with friends? It’s a topic you can’t ignore. Learn the Link: http:// ...

  3. Drugs + HIV, Learn the Link

    Full Text Available ... Bath Salts) Tobacco/Nicotine and E-Cigs Other Drugs Related Topics Addiction Science Adolescent Brain Comorbidity College-Age & Young Adults ... 2017. How are Drug Misuse and HIV Related? Drug misuse and addiction have been linked with HIV/AIDS since the ...

  4. n-Gram-Based Text Compression

    Duong, Hieu N.; Snasel, Vaclav

    2016-01-01

    We propose an efficient method for compressing Vietnamese text using n-gram dictionaries. It has a significant compression ratio in comparison with those of state-of-the-art methods on the same dataset. Given a text, first, the proposed method splits it into n-grams and then encodes them based on n-gram dictionaries. In the encoding phase, we use a sliding window with a size that ranges from bigram to five grams to obtain the best encoding stream. Each n-gram is encoded by two to four bytes accordingly based on its corresponding n-gram dictionary. We collected 2.5 GB text corpus from some Vietnamese news agencies to build n-gram dictionaries from unigram to five grams and achieve dictionaries with a size of 12 GB in total. In order to evaluate our method, we collected a testing set of 10 different text files with different sizes. The experimental results indicate that our method achieves compression ratio around 90% and outperforms state-of-the-art methods. PMID:27965708

  5. Database citation in full text biomedical articles.

    Kafkas, Şenay; Kim, Jee-Hyub; McEntyre, Johanna R

    2013-01-01

    Molecular biology and literature databases represent essential infrastructure for life science research. Effective integration of these data resources requires that there are structured cross-references at the level of individual articles and biological records. Here, we describe the current patterns of how database entries are cited in research articles, based on analysis of the full text Open Access articles available from Europe PMC. Focusing on citation of entries in the European Nucleotide Archive (ENA), UniProt and Protein Data Bank, Europe (PDBe), we demonstrate that text mining doubles the number of structured annotations of database record citations supplied in journal articles by publishers. Many thousands of new literature-database relationships are found by text mining, since these relationships are also not present in the set of articles cited by database records. We recommend that structured annotation of database records in articles is extended to other databases, such as ArrayExpress and Pfam, entries from which are also cited widely in the literature. The very high precision and high-throughput of this text-mining pipeline makes this activity possible both accurately and at low cost, which will allow the development of new integrated data services.

  6. Text Mining Metal-Organic Framework Papers.

    Park, Sanghoon; Kim, Baekjun; Choi, Sihoon; Boyd, Peter G; Smit, Berend; Kim, Jihan

    2018-02-26

    We have developed a simple text mining algorithm that allows us to identify surface area and pore volumes of metal-organic frameworks (MOFs) using manuscript html files as inputs. The algorithm searches for common units (e.g., m 2 /g, cm 3 /g) associated with these two quantities to facilitate the search. From the sample set data of over 200 MOFs, the algorithm managed to identify 90% and 88.8% of the correct surface area and pore volume values. Further application to a test set of randomly chosen MOF html files yielded 73.2% and 85.1% accuracies for the two respective quantities. Most of the errors stem from unorthodox sentence structures that made it difficult to identify the correct data as well as bolded notations of MOFs (e.g., 1a) that made it difficult identify its real name. These types of tools will become useful when it comes to discovering structure-property relationships among MOFs as well as collecting a large set of data for references.

  7. Semigroups of transformations with fixed sets | Honyam ...

    Click on the link to view the abstract. Keywords: Transformation semigroup, Green's relations, ideal, rank. Quaestiones Mathematicae 36(2013), 79-92. Full Text: EMAIL FULL TEXT EMAIL FULL TEXT · DOWNLOAD FULL TEXT DOWNLOAD FULL TEXT · http://dx.doi.org/10.2989/16073606.2013.779958 · AJOL African ...

  8. Parametrization of Combined Quantum Mechanical and Molecular Mechanical Methods: Bond-Tuned Link Atoms

    Xin-Ping Wu

    2018-05-01

    Full Text Available Combined quantum mechanical and molecular mechanical (QM/MM methods are the most powerful available methods for high-level treatments of subsystems of very large systems. The treatment of the QM−MM boundary strongly affects the accuracy of QM/MM calculations. For QM/MM calculations having covalent bonds cut by the QM−MM boundary, it has been proposed previously to use a scheme with system-specific tuned fluorine link atoms. Here, we propose a broadly parametrized scheme where the parameters of the tuned F link atoms depend only on the type of bond being cut. In the proposed new scheme, the F link atom is tuned for systems with a certain type of cut bond at the QM−MM boundary instead of for a specific target system, and the resulting link atoms are call bond-tuned link atoms. In principle, the bond-tuned link atoms can be as convenient as the popular H link atoms, and they are especially well adapted for high-throughput and accurate QM/MM calculations. Here, we present the parameters for several kinds of cut bonds along with a set of validation calculations that confirm that the proposed bond-tuned link-atom scheme can be as accurate as the system-specific tuned F link-atom scheme.

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

    Chuah, Sceuchin; Dumitrescu, Sorina; Wu, Xiaolin

    2013-12-01

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

  10. A geographic distribution data set of biodiversity in Italian freshwaters

    Angela Boggero

    2016-10-01

    Full Text Available We present a data set on the biodiversity of Italian freshwaters, including lakeshores and riverbanks of natural (N=379: springs, streams and lakes and artificial (N=11: fountains sites. The data set belongs partly to the Italian Long Term Ecological Research network (LTER-Italy and partly to LifeWatch, the European e-Science infrastructure for biodiversity and ecosystem research. The data included cover a time period corresponding to the last fifty years (1962-2014. They span a large number of taxa from prokaryotes and unicellular eukaryotes to vertebrates and plants, including taxa linked to the aquatic habitat in at least part of their life cycles (like immature stages of insects, amphibians, birds and vascular plants. The data set consists of 6463 occurrence data and distribution records for 1738 species. The complete data set is available in csv file format via the LifeWatch Service Centre.

  11. Why quasi-sets?

    Décio Krause

    2002-11-01

    Full Text Available Quasi-set theory was developed to deal with collections of indistinguishable objects. In standard mathematics, there are no such kind of entities, for indistinguishability (agreement with respect to all properties entails numerical identity. The main motivation underlying such a theory is of course quantum physics, for collections of indistinguishable (’identical’ in the physicists’ jargon particles cannot be regarded as ’sets’ of standard set theories, which are collections of distinguishable objects. In this paper, a rationale for the development of such a theory is presented, motivated by Heinz Post’s claim that indistinguishability ofquantum entities should be attributed ’right at the start’.

  12. Combinatorics of finite sets

    Anderson, Ian

    2011-01-01

    Coherent treatment provides comprehensive view of basic methods and results of the combinatorial study of finite set systems. The Clements-Lindstrom extension of the Kruskal-Katona theorem to multisets is explored, as is the Greene-Kleitman result concerning k-saturated chain partitions of general partially ordered sets. Connections with Dilworth's theorem, the marriage problem, and probability are also discussed. Each chapter ends with a helpful series of exercises and outline solutions appear at the end. ""An excellent text for a topics course in discrete mathematics."" - Bulletin of the Ame

  13. Pharmspresso: a text mining tool for extraction of pharmacogenomic concepts and relationships from full text.

    Garten, Yael; Altman, Russ B

    2009-02-05

    Pharmacogenomics studies the relationship between genetic variation and the variation in drug response phenotypes. The field is rapidly gaining importance: it promises drugs targeted to particular subpopulations based on genetic background. The pharmacogenomics literature has expanded rapidly, but is dispersed in many journals. It is challenging, therefore, to identify important associations between drugs and molecular entities--particularly genes and gene variants, and thus these critical connections are often lost. Text mining techniques can allow us to convert the free-style text to a computable, searchable format in which pharmacogenomic concepts (such as genes, drugs, polymorphisms, and diseases) are identified, and important links between these concepts are recorded. Availability of full text articles as input into text mining engines is key, as literature abstracts often do not contain sufficient information to identify these pharmacogenomic associations. Thus, building on a tool called Textpresso, we have created the Pharmspresso tool to assist in identifying important pharmacogenomic facts in full text articles. Pharmspresso parses text to find references to human genes, polymorphisms, drugs and diseases and their relationships. It presents these as a series of marked-up text fragments, in which key concepts are visually highlighted. To evaluate Pharmspresso, we used a gold standard of 45 human-curated articles. Pharmspresso identified 78%, 61%, and 74% of target gene, polymorphism, and drug concepts, respectively. Pharmspresso is a text analysis tool that extracts pharmacogenomic concepts from the literature automatically and thus captures our current understanding of gene-drug interactions in a computable form. We have made Pharmspresso available at http://pharmspresso.stanford.edu.

  14. Link-Based Similarity Measures Using Reachability Vectors

    Seok-Ho Yoon

    2014-01-01

    Full Text Available We present a novel approach for computing link-based similarities among objects accurately by utilizing the link information pertaining to the objects involved. We discuss the problems with previous link-based similarity measures and propose a novel approach for computing link based similarities that does not suffer from these problems. In the proposed approach each target object is represented by a vector. Each element of the vector corresponds to all the objects in the given data, and the value of each element denotes the weight for the corresponding object. As for this weight value, we propose to utilize the probability of reaching from the target object to the specific object, computed using the “Random Walk with Restart” strategy. Then, we define the similarity between two objects as the cosine similarity of the two vectors. In this paper, we provide examples to show that our approach does not suffer from the aforementioned problems. We also evaluate the performance of the proposed methods in comparison with existing link-based measures, qualitatively and quantitatively, with respect to two kinds of data sets, scientific papers and Web documents. Our experimental results indicate that the proposed methods significantly outperform the existing measures.

  15. LinkMind: Link Optimization in Swarming Mobile Sensor Networks

    Trung Dung Ngo

    2011-08-01

    Full Text Available A swarming mobile sensor network is comprised of a swarm of wirelessly connected mobile robots equipped with various sensors. Such a network can be applied in an uncertain environment for services such as cooperative navigation and exploration, object identification and information gathering. One of the most advantageous properties of the swarming wireless sensor network is that mobile nodes can work cooperatively to organize an ad-hoc network and optimize the network link capacity to maximize the transmission of gathered data from a source to a target. This paper describes a new method of link optimization of swarming mobile sensor networks. The new method is based on combination of the artificial potential force guaranteeing connectivities of the mobile sensor nodes and the max-flow min-cut theorem of graph theory ensuring optimization of the network link capacity. The developed algorithm is demonstrated and evaluated in simulation.

  16. Helios: Understanding Solar Evolution Through Text Analytics

    Randazzese, Lucien [SRI International, Menlo Park, CA (United States)

    2016-12-02

    This proof-of-concept project focused on developing, testing, and validating a range of bibliometric, text analytic, and machine-learning based methods to explore the evolution of three photovoltaic (PV) technologies: Cadmium Telluride (CdTe), Dye-Sensitized solar cells (DSSC), and Multi-junction solar cells. The analytical approach to the work was inspired by previous work by the same team to measure and predict the scientific prominence of terms and entities within specific research domains. The goal was to create tools that could assist domain-knowledgeable analysts in investigating the history and path of technological developments in general, with a focus on analyzing step-function changes in performance, or “breakthroughs,” in particular. The text-analytics platform developed during this project was dubbed Helios. The project relied on computational methods for analyzing large corpora of technical documents. For this project we ingested technical documents from the following sources into Helios: Thomson Scientific Web of Science (papers), the U.S. Patent & Trademark Office (patents), the U.S. Department of Energy (technical documents), the U.S. National Science Foundation (project funding summaries), and a hand curated set of full-text documents from Thomson Scientific and other sources.

  17. Building a glaucoma interaction network using a text mining approach.

    Soliman, Maha; Nasraoui, Olfa; Cooper, Nigel G F

    2016-01-01

    The volume of biomedical literature and its underlying knowledge base is rapidly expanding, making it beyond the ability of a single human being to read through all the literature. Several automated methods have been developed to help make sense of this dilemma. The present study reports on the results of a text mining approach to extract gene interactions from the data warehouse of published experimental results which are then used to benchmark an interaction network associated with glaucoma. To the best of our knowledge, there is, as yet, no glaucoma interaction network derived solely from text mining approaches. The presence of such a network could provide a useful summative knowledge base to complement other forms of clinical information related to this disease. A glaucoma corpus was constructed from PubMed Central and a text mining approach was applied to extract genes and their relations from this corpus. The extracted relations between genes were checked using reference interaction databases and classified generally as known or new relations. The extracted genes and relations were then used to construct a glaucoma interaction network. Analysis of the resulting network indicated that it bears the characteristics of a small world interaction network. Our analysis showed the presence of seven glaucoma linked genes that defined the network modularity. A web-based system for browsing and visualizing the extracted glaucoma related interaction networks is made available at http://neurogene.spd.louisville.edu/GlaucomaINViewer/Form1.aspx. This study has reported the first version of a glaucoma interaction network using a text mining approach. The power of such an approach is in its ability to cover a wide range of glaucoma related studies published over many years. Hence, a bigger picture of the disease can be established. To the best of our knowledge, this is the first glaucoma interaction network to summarize the known literature. The major findings were a set of

  18. Hacking 360 Link: A hybrid approach

    John Durno

    2012-10-01

    Full Text Available When the University of Victoria Libraries switched from a locally-hosted link resolver (SFX to a vendor-hosted link resolver (360Link, new strategies were required to effectively integrate the vendor-hosted link resolver with the Libraries' other systems and services. Custom javascript is used to add links to the 360Link page; these links then point at local PHP code running on UVic servers, which can then redirect to appropriate local service or display a form directly. An open source PHP OpenURL parser class is announced. Consideration is given to the importance of maintaining open protocols and standards in the transition to vendor-hosted services.

  19. Searching for Intertextual Connections in Small Group Text Discussion

    Chi, Feng-ming

    2012-01-01

    This paper reports the sources for and intentions of intertextuality made by 10 groups of Taiwanese university students in the process of discussing two American stories. Two types of data, small group text discussions and oral interviews, were gathered. The results indicated that participants used diverse sources of intertextual links, and with…

  20. New challenges for text mining: mapping between text and manually curated pathways

    Oda, Kanae; Kim, Jin-Dong; Ohta, Tomoko; Okanohara, Daisuke; Matsuzaki, Takuya; Tateisi, Yuka; Tsujii, Jun'ichi

    2008-01-01

    Background Associating literature with pathways poses new challenges to the Text Mining (TM) community. There are three main challenges to this task: (1) the identification of the mapping position of a specific entity or reaction in a given pathway, (2) the recognition of the causal relationships among multiple reactions, and (3) the formulation and implementation of required inferences based on biological domain knowledge. Results To address these challenges, we constructed new resources to link the text with a model pathway; they are: the GENIA pathway corpus with event annotation and NF-kB pathway. Through their detailed analysis, we address the untapped resource, ‘bio-inference,’ as well as the differences between text and pathway representation. Here, we show the precise comparisons of their representations and the nine classes of ‘bio-inference’ schemes observed in the pathway corpus. Conclusions We believe that the creation of such rich resources and their detailed analysis is the significant first step for accelerating the research of the automatic construction of pathway from text. PMID:18426550

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

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

    2010-01-01

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

  2. Improving e-book access via a library-developed full-text search tool*

    Foust, Jill E.; Bergen, Phillip; Maxeiner, Gretchen L.; Pawlowski, Peter N.

    2007-01-01

    Purpose: This paper reports on the development of a tool for searching the contents of licensed full-text electronic book (e-book) collections. Setting: The Health Sciences Library System (HSLS) provides services to the University of Pittsburgh's medical programs and large academic health system. Brief Description: The HSLS has developed an innovative tool for federated searching of its e-book collections. Built using the XML-based Vivísimo development environment, the tool enables a user to perform a full-text search of over 2,500 titles from the library's seven most highly used e-book collections. From a single “Google-style” query, results are returned as an integrated set of links pointing directly to relevant sections of the full text. Results are also grouped into categories that enable more precise retrieval without reformulation of the search. Results/Evaluation: A heuristic evaluation demonstrated the usability of the tool and a web server log analysis indicated an acceptable level of usage. Based on its success, there are plans to increase the number of online book collections searched. Conclusion: This library's first foray into federated searching has produced an effective tool for searching across large collections of full-text e-books and has provided a good foundation for the development of other library-based federated searching products. PMID:17252065

  3. Joint Group and Topic Discovery from Relations and Text

    McCallum, Andrew; Wang, Xuerui; Mohanty, Natasha

    2006-01-01

    .... We present experimental results on two large data sets: sixteen years of bills put before the U.S. Senate, comprising their corresponding text and voting records, and 43 years of similar data from the United Nations...

  4. Gender bias in an occupational therapy text.

    Reese, C C

    1987-06-01

    Willard and Spackman's Occupational Therapy does not create an awareness and understanding of the role of women in the field of occupational therapy. Nor does the text include general policy statements or reflections on how gender bias affects our work. What is our true consciousness as women therapists? Maria Mies (1983) wrote that women consent to their own oppression or subordination through silence. "Only when there is a rupture in the 'normal' life of a woman, a divorce, an end of a relationship, is there a chance for her to become conscious of her true condition which had been unconsciously submerged in a patriarchal system" (p. 125). True consciousness occurs in occupational therapy when practitioners avoid the use of activities or occupation in therapy. This is our "rupture". I believe the profession needs to develop a policy statement discussing gender concerns in our theory and practice linked to the progress made by women scientists in anthropology, psychology, sociology, history, and literature. It is critical to good treatment that the gender role factor be included in our research on the generic impact of activity on the individual and small group. As female occupational therapists we have the opportunity to make a significant imprint on a gender-based understanding of the health value of activities in our daily lives.

  5. Link for Injured Kids

    Ramirez, Marizen; Toussaint, Maisha; Woods-Jaeger, Briana; Harland, Karisa; Wetjen, Kristel; Wilgenbusch, Tammy; Pitcher, Graeme; Jennissen, Charles

    2017-01-01

    Objective Injury, the most common type of pediatric trauma, can lead to a number of adverse psychosocial outcomes, including posttraumatic stress disorder. Currently, few evidence-based parent programs exist to support children hospitalized after a traumatic injury. Using methods in evaluation and intervention research, we completed a formative research study to develop a new program of psychological first aid, Link for Injured Kids, aimed to educate parents in supporting their children after a severe traumatic injury. Methods Using qualitative methods, we held focus groups with parents and pediatric trauma providers of children hospitalized at a Level I Children's Hospital because of an injury in 2012. We asked focus group participants to describe reactions to trauma and review drafts of our intervention materials. Results Health professionals and caregivers reported a broad spectrum of emotional responses by their children or patients; however, difficulties were experienced during recovery at home and upon returning to school. All parents and health professionals recommended that interventions be offered to parents either in the emergency department or close to discharge among admissions. Conclusions Results from this study strongly indicate a need for posttrauma interventions, particularly in rural settings, to support families of children to address the psychosocial outcomes in the aftermath of an injury. Findings presented here describe the process of intervention development that responds to the needs of an affected population. PMID:26428077

  6. Hierarchical Linked Views

    Erbacher, Robert; Frincke, Deb

    2007-07-02

    Coordinated views have proven critical to the development of effective visualization environments. This results from the fact that a single view or representation of the data cannot show all of the intricacies of a given data set. Additionally, users will often need to correlate more data parameters than can effectively be integrated into a single visual display. Typically, development of multiple-linked views results in an adhoc configuration of views and associated interactions. The hierarchical model we are proposing is geared towards more effective organization of such environments and the views they encompass. At the same time, this model can effectively integrate much of the prior work on interactive and visual frameworks. Additionally, we expand the concept of views to incorporate perceptual views. This is related to the fact that visual displays can have information encoded at various levels of focus. Thus, a global view of the display provides overall trends of the data while focusing in on individual elements provides detailed specifics. By integrating interaction and perception into a single model, we show how one impacts the other. Typically, interaction and perception are considered separately, however, when interaction is being considered at a fundamental level and allowed to direct/modify the visualization directly we must consider them simultaneously and how they impact one another.

  7. Dynamic link: user's manual

    Harada, Hiroo; Asai, Kiyoshi; Kihara, Kazuhisa.

    1981-09-01

    The purpose of dynamic link facility is to link a load module dynamically only when it is used in execution time. The facility is very useful for development, execution and maintenance of a large scale computer program which is too big to be saved as one load module in main memory, or it is poor economy to save it due to many unused subroutines depending on an input. It is also useful for standardization and common utilization of programs. Standard usage of dynamic link facility of FACOM M-200 computer system, a software tool which analyzes the effect of dynamic link facility and application of dynamic link to nuclear codes are described. (author)

  8. Extracting and connecting chemical structures from text sources using chemicalize.org.

    Southan, Christopher; Stracz, Andras

    2013-04-23

    Exploring bioactive chemistry requires navigating between structures and data from a variety of text-based sources. While PubChem currently includes approximately 16 million document-extracted structures (15 million from patents) the extent of public inter-document and document-to-database links is still well below any estimated total, especially for journal articles. A major expansion in access to text-entombed chemistry is enabled by chemicalize.org. This on-line resource can process IUPAC names, SMILES, InChI strings, CAS numbers and drug names from pasted text, PDFs or URLs to generate structures, calculate properties and launch searches. Here, we explore its utility for answering questions related to chemical structures in documents and where these overlap with database records. These aspects are illustrated using a common theme of Dipeptidyl Peptidase 4 (DPPIV) inhibitors. Full-text open URL sources facilitated the download of over 1400 structures from a DPPIV patent and the alignment of specific examples with IC50 data. Uploading the SMILES to PubChem revealed extensive linking to patents and papers, including prior submissions from chemicalize.org as submitting source. A DPPIV medicinal chemistry paper was completely extracted and structures were aligned to the activity results table, as well as linked to other documents via PubChem. In both cases, key structures with data were partitioned from common chemistry by dividing them into individual new PDFs for conversion. Over 500 structures were also extracted from a batch of PubMed abstracts related to DPPIV inhibition. The drug structures could be stepped through each text occurrence and included some converted MeSH-only IUPAC names not linked in PubChem. Performing set intersections proved effective for detecting compounds-in-common between documents and merged extractions. This work demonstrates the utility of chemicalize.org for the exploration of chemical structure connectivity between documents and

  9. Link-Quality Measurement and Reporting in Wireless Sensor Networks

    Byoungjo Choi

    2013-03-01

    Full Text Available Wireless Sensor networks (WSNs are created by small hardware devices that possess the necessary functionalities to measure and exchange a variety of environmental data in their deployment setting. In this paper, we discuss the experiments in deploying a testbed as a first step towards creating a fully functional heterogeneous wireless network-based underground monitoring system. The system is mainly composed of mobile and static ZigBee nodes, which are deployed on the underground mine galleries for measuring ambient temperature. In addition, we describe the measured results of link characteristics such as received signal strength, latency and throughput for different scenarios.

  10. Cascade of links in complex networks

    Feng, Yeqian; Sun, Bihui [Department of Management Science, School of Government, Beijing Normal University, 100875 Beijing (China); Zeng, An, E-mail: anzeng@bnu.edu.cn [School of Systems Science, Beijing Normal University, 100875 Beijing (China)

    2017-01-30

    Cascading failure is an important process which has been widely used to model catastrophic events such as blackouts and financial crisis in real systems. However, so far most of the studies in the literature focus on the cascading process on nodes, leaving the possibility of link cascade overlooked. In many real cases, the catastrophic events are actually formed by the successive disappearance of links. Examples exist in the financial systems where the firms and banks (i.e. nodes) still exist but many financial trades (i.e. links) are gone during the crisis, and the air transportation systems where the airports (i.e. nodes) are still functional but many airlines (i.e. links) stop operating during bad weather. In this letter, we develop a link cascade model in complex networks. With this model, we find that both artificial and real networks tend to collapse even if a few links are initially attacked. However, the link cascading process can be effectively terminated by setting a few strong nodes in the network which do not respond to any link reduction. Finally, a simulated annealing algorithm is used to optimize the location of these strong nodes, which significantly improves the robustness of the networks against the link cascade. - Highlights: • We propose a link cascade model in complex networks. • Both artificial and real networks tend to collapse even if a few links are initially attacked. • The link cascading process can be effectively terminated by setting a few strong nodes. • A simulated annealing algorithm is used to optimize the location of these strong nodes.

  11. Cascade of links in complex networks

    Feng, Yeqian; Sun, Bihui; Zeng, An

    2017-01-01

    Cascading failure is an important process which has been widely used to model catastrophic events such as blackouts and financial crisis in real systems. However, so far most of the studies in the literature focus on the cascading process on nodes, leaving the possibility of link cascade overlooked. In many real cases, the catastrophic events are actually formed by the successive disappearance of links. Examples exist in the financial systems where the firms and banks (i.e. nodes) still exist but many financial trades (i.e. links) are gone during the crisis, and the air transportation systems where the airports (i.e. nodes) are still functional but many airlines (i.e. links) stop operating during bad weather. In this letter, we develop a link cascade model in complex networks. With this model, we find that both artificial and real networks tend to collapse even if a few links are initially attacked. However, the link cascading process can be effectively terminated by setting a few strong nodes in the network which do not respond to any link reduction. Finally, a simulated annealing algorithm is used to optimize the location of these strong nodes, which significantly improves the robustness of the networks against the link cascade. - Highlights: • We propose a link cascade model in complex networks. • Both artificial and real networks tend to collapse even if a few links are initially attacked. • The link cascading process can be effectively terminated by setting a few strong nodes. • A simulated annealing algorithm is used to optimize the location of these strong nodes.

  12. A Glider-Assisted Link Disruption Restoration Mechanism in Underwater Acoustic Sensor Networks

    Zhigang Jin

    2018-02-01

    Full Text Available Underwater acoustic sensor networks (UASNs have become a hot research topic. In UASNs, nodes can be affected by ocean currents and external forces, which could result in sudden link disruption. Therefore, designing a flexible and efficient link disruption restoration mechanism to ensure the network connectivity is a challenge. In the paper, we propose a glider-assisted restoration mechanism which includes link disruption recognition and related link restoring mechanism. In the link disruption recognition mechanism, the cluster heads collect the link disruption information and then schedule gliders acting as relay nodes to restore the disrupted link. Considering the glider’s sawtooth motion, we design a relay location optimization algorithm with a consideration of both the glider’s trajectory and acoustic channel attenuation model. The utility function is established by minimizing the channel attenuation and the optimal location of glider is solved by a multiplier method. The glider-assisted restoration mechanism can greatly improve the packet delivery rate and reduce the communication energy consumption and it is more general for the restoration of different link disruption scenarios. The simulation results show that glider-assisted restoration mechanism can improve the delivery rate of data packets by 15–33% compared with cooperative opportunistic routing (OVAR, the hop-by-hop vector-based forwarding (HH-VBF and the vector based forward (VBF methods, and reduce communication energy consumption by 20–58% for a typical network’s setting.

  13. Simulation of Controller Pilot Data Link Communications over VHF Digital Link Mode 3

    Bretmersky, Steven C.; Murawski, Robert; Nguyen, Thanh C.; Raghavan, Rajesh S.

    2004-01-01

    The Federal Aviation Administration (FAA) has established an operational plan for the future Air Traffic Management (ATM) system, in which the Controller Pilot Data Link Communications (CPDLC) is envisioned to evolve into digital messaging that will take on an ever increasing role in controller to pilot communications, significantly changing the way the National Airspace System (NAS) is operating. According to FAA, CPDLC represents the first phase of the transition from the current analog voice system to an International Civil Aviation Organization (ICAO) compliant system in which digital communication becomes the alternate and perhaps primary method of routine communication. The CPDLC application is an Air Traffic Service (ATS) application in which pilots and controllers exchange messages via an addressed data link. CPDLC includes a set of clearance, information, and request message elements that correspond to existing phraseology employed by current Air Traffic Control (ATC) procedures. These message elements encompass altitude assignments, crossing constraints, lateral deviations, route changes and clearances, speed assignments, radio frequency assignments, and various requests for information. The pilot is provided with the capability to respond to messages, to request clearances and information, to report information, and to declare/rescind an emergency. A 'free text' capability is also provided to exchange information not conforming to defined formats. This paper presents simulated results of the aeronautical telecommunication application Controller Pilot Data Link Communications over VHF Digital Link Mode 3 (VDL Mode 3). The objective of this simulation study was to determine the impact of CPDLC traffic loads, in terms of timely message delivery and capacity of the VDL Mode 3 subnetwork. The traffic model is based on and is used for generating air/ground messages with different priorities. Communication is modeled for the en route domain of the Cleveland

  14. Guidelines for setting speed limits

    Wium, DJW

    1986-02-01

    Full Text Available , parking and loading manoeuvres, access to bounding properties, intersections, width of road without central median and clear roadside area. The method should result in greater uniformity in speed limits for similar circumstances as set by different...

  15. Annotating gene sets by mining large literature collections with protein networks.

    Wang, Sheng; Ma, Jianzhu; Yu, Michael Ku; Zheng, Fan; Huang, Edward W; Han, Jiawei; Peng, Jian; Ideker, Trey

    2018-01-01

    Analysis of patient genomes and transcriptomes routinely recognizes new gene sets associated with human disease. Here we present an integrative natural language processing system which infers common functions for a gene set through automatic mining of the scientific literature with biological networks. This system links genes with associated literature phrases and combines these links with protein interactions in a single heterogeneous network. Multiscale functional annotations are inferred based on network distances between phrases and genes and then visualized as an ontology of biological concepts. To evaluate this system, we predict functions for gene sets representing known pathways and find that our approach achieves substantial improvement over the conventional text-mining baseline method. Moreover, our system discovers novel annotations for gene sets or pathways without previously known functions. Two case studies demonstrate how the system is used in discovery of new cancer-related pathways with ontological annotations.

  16. Uncovering missing links with cold ends

    Zhu, Yu-Xiao; Lü, Linyuan; Zhang, Qian-Ming; Zhou, Tao

    2012-11-01

    To evaluate the performance of prediction of missing links, the known data are randomly divided into two parts, the training set and the probe set. We argue that this straightforward and standard method may lead to terrible bias, since in real biological and information networks, missing links are more likely to be links connecting low-degree nodes. We therefore study how to uncover missing links with low-degree nodes, namely links in the probe set are of lower degree products than a random sampling. Experimental analysis on ten local similarity indices and four disparate real networks reveals a surprising result that the Leicht-Holme-Newman index [E.A. Leicht, P. Holme, M.E.J. Newman, Vertex similarity in networks, Phys. Rev. E 73 (2006) 026120] performs the best, although it was known to be one of the worst indices if the probe set is a random sampling of all links. We further propose an parameter-dependent index, which considerably improves the prediction accuracy. Finally, we show the relevance of the proposed index to three real sampling methods: acquaintance sampling, random-walk sampling and path-based sampling.

  17. Bollywood Movie Corpus for Text, Images and Videos

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

    2017-01-01

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

  18. LINKING STATE, UNIVERSITY AND BUSINESS IN NICARAGUA

    Máximo Andrés Rodríguez Pérez

    2015-07-01

    Full Text Available In Nicaragua levels Linking state, university and business are low, Nicaraguan universities have initiated communication strategies with the state and the private sector. The idiosyncrasies of its citizens favor this link. The entailment policies formalize the communications and information networks. Universities have a key role in building models and organizations that provide alternatives to economic development. Linking the university with the environment, generating virtuous circles, where companies achieve greater competitiveness, the state, higher taxes and public stability, universities generate new knowledge. This article analyzes the strategies linking U-E- E that can be applied in Nicaragua, to strengthen and achieve positive developments in the country.

  19. A note on extreme sets

    Radosław Cymer

    2017-10-01

    Full Text Available In decomposition theory, extreme sets have been studied extensively due to its connection to perfect matchings in a graph. In this paper, we first define extreme sets with respect to degree-matchings and next investigate some of their properties. In particular, we prove the generalized Decomposition Theorem and give a characterization for the set of all extreme vertices in a graph.

  20. Setting up virtual private network

    Huang Hongmei; Zhang Chengjun

    2003-01-01

    Setting up virtual private network for business enterprise provides a low cost network foundation, increases enterprise's network function and enlarges its private scope. The text introduces virtual private network's principal, privileges and protocols that use in virtual private network. At last, this paper introduces several setting up virtual private network's technologies which based on LAN

  1. Setting up virtual private network

    Huang Hongmei; Zhang Chengjun

    2003-01-01

    Setting up virtual private network for business enterprise provides a low cost network foundation, increases enterprise network function and enlarges its private scope. This text introduces virtual private network principal, privileges and protocols applied in virtual private network. At last, this paper introduces several setting up virtual private network technologies which is based on LAN

  2. Social Media Text Classification by Enhancing Well-Formed Text Trained Model

    Phat Jotikabukkana

    2016-09-01

    Full Text Available Social media are a powerful communication tool in our era of digital information. The large amount of user-generated data is a useful novel source of data, even though it is not easy to extract the treasures from this vast and noisy trove. Since classification is an important part of text mining, many techniques have been proposed to classify this kind of information. We developed an effective technique of social media text classification by semi-supervised learning utilizing an online news source consisting of well-formed text. The computer first automatically extracts news categories, well-categorized by publishers, as classes for topic classification. A bag of words taken from news articles provides the initial keywords related to their category in the form of word vectors. The principal task is to retrieve a set of new productive keywords. Term Frequency-Inverse Document Frequency weighting (TF-IDF and Word Article Matrix (WAM are used as main methods. A modification of WAM is recomputed until it becomes the most effective model for social media text classification. The key success factor was enhancing our model with effective keywords from social media. A promising result of 99.50% accuracy was achieved, with more than 98.5% of Precision, Recall, and F-measure after updating the model three times.

  3. Diabetes and dementia links

    Paula Jankowska

    2018-06-01

    Full Text Available Introduction The number of patients suffering from diabetes mellitus is growing globally. It is expected to observe 253.4 million sufferers in geriatric population in 2045. In this time, also 131.5 million of people is going to have dementia and other cognitive problems. In people aged over 65 these two diseases are concomitant quite often. What are the connections in the area of etiology and treatment? Aim The purpose of this study is to present links between dementia and diabetes are depicted in professional literature. Results Diabetes and dementia are associated on many levels. These conditions have common risk factors. Diabetes may contribute to cognitive impairment in many ways, promoting development of atherosclerosis, brain vessel damage and vascular dementia. Alzheimer disease may be promoted by hyperglycemia and hyperinsulinemia. On contrary also hypoglycaemia, often met in elderly diabetic patients has negative impact on cognitive function. Dementia seriously affects treatment of diabetes. The main problems are not satisfying adherence and diabetes self-management. Conclusions Prevention of diabetes and dementia risk factors can be performed simultaneously as the are common for both diseases. Enhancing physical activity, reducing saturated fats consumption, levels of cholesterol and body mass are considered to be beneficial in the context of described conditions. Furthermore, treatment of diabetes is strongly affected by cognitive dysfunction. Management of dementive diabetics requires individualization and using long-acting drugs. It is crucial to reduce risk of life-threatening hypoglycaemias and to create wide team to take care of these patients.

  4. Terminology extraction from medical texts in Polish.

    Marciniak, Małgorzata; Mykowiecka, Agnieszka

    2014-01-01

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

  5. Enriching text with images and colored light

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

    2008-01-01

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

  6. Doing Mathematics with Purpose: Mathematical Text Types

    Dostal, Hannah M.; Robinson, Richard

    2018-01-01

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

  7. The socio-demographics of texting

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

    2012-01-01

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

  8. Building a Prototype Text to Speech for Sanskrit

    Mahananda, Baiju; Raju, C. M. S.; Patil, Ramalinga Reddy; Jha, Narayana; Varakhedi, Shrinivasa; Kishore, Prahallad

    This paper describes about the work done in building a prototype text to speech system for Sanskrit. A basic prototype text-to-speech is built using a simplified Sanskrit phone set, and employing a unit selection technique, where prerecorded sub-word units are concatenated to synthesize a sentence. We also discuss the issues involved in building a full-fledged text-to-speech for Sanskrit.

  9. Linking open vocabularies

    Greifender, Elke; Seadle, Michael

    2013-01-01

    Linked Data (LD), Linked Open Data (LOD) and generating a web of data, present the new knowledge sharing frontier. In a philosophical context, LD is an evolving environment that reflects humankinds' desire to understand the world by drawing on the latest technologies and capabilities of the time. LD, while seemingly a new phenomenon did not emerge overnight; rather it represents the natural progression by which knowledge structures are developed, used, and shared. Linked Open Vocabularies is a significant trajectory of LD. Linked Open Vocabularies targets vocabularies that have traditionally b

  10. DUBNA-GRAN SASSO: Satellite computer link

    Anon.

    1994-01-01

    In April a 64 kbit/s computer communication link was set up between the Joint Institute for Nuclear Research (JINR), Dubna (Russia) and Gran Sasso (Italy) Laboratories via nearby ground satellite stations using the INTELSAT V satellite. Previously the international community of Dubna's experimentalists and theorists (high energy physics, condensed matter physics, low energy nuclear and neutron physics, accelerator and applied nuclear physics) had no effective computer links with scientific centres worldwide

  11. Linked Data - the story so far

    Bizer, Christian; Heath, Tom; Berners-Lee, Tim

    2009-01-01

    The term “Linked Data” refers to a set of best practices for publishing and connecting structured data on the Web. These best practices have been adopted by an increasing number of data providers over the last three years, leading to the creation of a global data space containing billions of assertions— the Web of Data. In this article, the authors present the concept and technical principles of Linked Data, and situate these within the broader context of related technological developments. T...

  12. Linking IMAGE 2 and WORLD SCAN

    Gelauff, G.; Geurts, B.; Gielen, A.; Den Ouden, A.; Alcamo, J.; Gerlagh, R.

    1995-01-01

    The links between the climate model IMAGE 2 and the economic model WORLD SCAN, which are set up to obtain an integrated scenario instrument for comprehensive and consistent climate-economy scenarios, are presented and discussed. The links are made with respect to energy (in WORLD SCAN) and agriculture (in IMAGE 2), thus providing a consistent linkage with feedbacks running both ways. 2 figs., 1 tab

  13. The cross linking of EPDM and NBR rubber

    Samardžija-Jovanović Suzana

    2005-01-01

    Full Text Available In the process of macromolecule cross linking, the choice of type and quantity of the components and the experimental conditions are important to obtain the new cross linked materials with better mechanical and chemical characteristics. The cross linking method depends on the rubber type and structure. Intermolecular cross linking results in the formation elastomer network. The basis of the cross linking process, between ethylene propylene diene rubber (EPDM and acrylonitrile butadiene rubber (NBR, is a chemical reaction. Fillers and other additives are present in different mass ratios in the material. The exploitation properties of the cross linked materials depend on the quantity of additive in the cross linked systems.

  14. Entity-Linking via Graph-Distance Minimization

    Roi Blanco

    2014-07-01

    Full Text Available Entity-linking is a natural-language–processing task that consists in identifying the entities mentioned in a piece of text, linking each to an appropriate item in some knowledge base; when the knowledge base is Wikipedia, the problem comes to be known as wikification (in this case, items are wikipedia articles. One instance of entity-linking can be formalized as an optimization problem on the underlying concept graph, where the quantity to be optimized is the average distance between chosen items. Inspired by this application, we define a new graph problem which is a natural variant of the Maximum Capacity Representative Set. We prove that our problem is NP-hard for general graphs; nonetheless, under some restrictive assumptions, it turns out to be solvable in linear time. For the general case, we propose two heuristics: one tries to enforce the above assumptions and another one is based on the notion of hitting distance; we show experimentally how these approaches perform with respect to some baselines on a real-world dataset.

  15. The Curricular Value of Teaching about Immigration through Picture Book Thematic Text Sets

    Bersh, Luz Carime

    2013-01-01

    This article offers a contextual analysis of contemporary immigration issues impacting the institutions in the United States, in particular the school. It discusses the importance of addressing this theme in the classroom and presents its curricular value in the elementary and middle school social studies and interdisciplinary curricula. Using a…

  16. Effect of Telecollaboration on Translation of Culture-Bound Texts

    Vahid Rafieyan

    2016-07-01

    Full Text Available One of the most problematic perspectives of translation phenomenon is the cultural gap between the source language and the target language (Yang, 2010. This gap can be ideally filled through telecollaboration which provides internationally dispersed language learners in parallel language classes with cost-effective access to, and engagement with, peers who are expert speakers of the language under study (Belz, 2005. To investigate the effect of telecollaboration on the quality of translation of culture-bound texts, the current study was conducted on 64 Iranian undergraduate students of English translation at a university in Iran. Instruments used in the study consisted of three texts containing news excerpts from Voice of America (VOA. The study consisted of three phases: 1 assessing quality of translation of culture-bound texts, 2 random assignment of participants to two groups: one merely receiving cultural instruction while the other being linked to native English speakers through LinkedIn alongside receiving cultural instruction, and 3 assessing quality of translation of culture-bound texts immediately and two months following treatment. The results of mixed between-within subjects analysis of variance revealed the significant positive effect of telecollaboration on developing quality of translation of culture-bound texts and sustaining the attained knowledge. The pedagogical implications of the findings suggested incorporation of cultural components of source language society into translation courses and providing opportunities for translation students to be exposed to authentic and intensive source language culture through telecollaboration.

  17. Let's "Downscale" Linked Data

    Gueret, C.D.M.; de Boer, V.; Schlobach, K.S.

    2014-01-01

    Open data policies and linked data publication are powerful tools for increasing transparency, participatory governance, and accountability. The linked data community proudly emphasizes the economic and societal impact such technology shows. But a closer look proves that the design and deployment of

  18. Let's "Downscale" Linked Data

    Gueret, Christophe; de Boer, Victor; Schlobach, Stefan

    2014-01-01

    Open data policies and linked data publication are powerful tools for increasing transparency, participatory governance, and accountability. A closer look at linked data technologies, however, proves that their design and deployment exclude the majority of the world’s population. It will take small

  19. Weierstrass polynomials for links

    Hansen, Vagn Lundsgaard

    1997-01-01

    There is a natural way of identifying links in3-space with polynomial covering spaces over thecircle. Thereby any link in 3-space can be definedby a Weierstrass polynomial over the circle. Theequivalence relation for covering spaces over thecircle is, however, completely different from...

  20. Biomedical hypothesis generation by text mining and gene prioritization.

    Petric, Ingrid; Ligeti, Balazs; Gyorffy, Balazs; Pongor, Sandor

    2014-01-01

    Text mining methods can facilitate the generation of biomedical hypotheses by suggesting novel associations between diseases and genes. Previously, we developed a rare-term model called RaJoLink (Petric et al, J. Biomed. Inform. 42(2): 219-227, 2009) in which hypotheses are formulated on the basis of terms rarely associated with a target domain. Since many current medical hypotheses are formulated in terms of molecular entities and molecular mechanisms, here we extend the methodology to proteins and genes, using a standardized vocabulary as well as a gene/protein network model. The proposed enhanced RaJoLink rare-term model combines text mining and gene prioritization approaches. Its utility is illustrated by finding known as well as potential gene-disease associations in ovarian cancer using MEDLINE abstracts and the STRING database.

  1. MANAGING THE TRANSLATION OF ECONOMIC TEXTS

    Pop Anamaria Mirabela

    2012-12-01

    Full Text Available Theoretically, translation may pass as science; practically, it seems closer to art. Translation is a challenging activity requiring a set of abilities and posing few difficulties that appear during the translation process. This paper investigates the extent to which sub-technical vocabulary can constitute a problem to Romanian students of economics reading in English, by looking at the translations produced as independent or pair work during English classes and analyzing the various errors which may appeared. The exigencies required by the efficient business communication have increased in the past few decades because of rising international trade, increased migration, globalization, the recognition of linguistic minorities, and the expansion of the mass media and technology. All these led us to approach the topic of translation which is actually a job that requires skills, stages of research necessary for disclosure of transfer characteristic into the target language, training, experience and a good sense of languages. The paper defines the theoretical issues and terminology: translation, types of translation, economic texts and then focuses on the presentation of the practical work carried out throughout the academic year of second year students. Considering that only 28% of the entire European population can read English, and even less people in South America and Asia can, it is obvious that an effective communication of business matters relies on an accurate understanding of terminology. Economics is a field of knowledge in accelerated scientific and technological development. As there is a permanent and ever increasing need to quickly update their knowledge, economists read and learn directly in the original language of the publication and stick to it in daily usage, including conferences, scientific events and articles written in Romanian. Besides researching properly the markets, finding distribution channels, and dealing with legal

  2. Bengali text summarization by sentence extraction

    Sarkar, Kamal

    2012-01-01

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

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

    Kucan, Linda; Palincsar, Annemarie Sullivan

    2018-01-01

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

  4. SIAM 2007 Text Mining Competition dataset

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

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

    Aaij, R; Adeva, B; Adinolfi, M; Affolder, A; Ajaltouni, Z; Albrecht, J; Alessio, F; Alexander, M; Ali, S; Alkhazov, G; Alvarez Cartelle, P; Alves, A A; Amato, S; Amerio, S; Amhis, Y; An, L; Anderlini, L; Anderson, J; Andreassen, R; Andreotti, M; Andrews, J E; Appleby, R B; Aquines Gutierrez, O; Archilli, F; Artamonov, A; Artuso, M; Aslanides, E; Auriemma, G; Baalouch, M; Bachmann, S; Back, J J; Badalov, A; Balagura, V; Baldini, W; Barlow, R J; Barschel, C; Barsuk, S; Barter, W; Batozskaya, V; Bauer, Th; Bay, A; Beddow, J; Bedeschi, F; Bediaga, I; Belogurov, S; Belous, K; Belyaev, I; Ben-Haim, E; Bencivenni, G; Benson, S; Benton, J; Berezhnoy, A; Bernet, R; Bettler, M-O; van Beuzekom, M; Bien, A; Bifani, S; Bird, T; Bizzeti, A; Bjørnstad, P M; Blake, T; Blanc, F; Blouw, J; Blusk, S; Bocci, V; Bondar, A; Bondar, N; Bonivento, W; Borghi, S; Borgia, A; Borsato, M; Bowcock, T J V; Bowen, E; Bozzi, C; Brambach, T; van den Brand, J; Bressieux, J; Brett, D; Britsch, M; Britton, T; Brook, N H; Brown, H; Bursche, A; Busetto, G; Buytaert, J; Cadeddu, S; Calabrese, R; Callot, O; Calvi, M; Calvo Gomez, M; Camboni, A; Campana, P; Campora Perez, D; Carbone, A; Carboni, G; Cardinale, R; Cardini, A; Carranza-Mejia, H; Carson, L; Carvalho Akiba, K; Casse, G; Cassina, L; Castillo Garcia, L; Cattaneo, M; Cauet, Ch; Cenci, R; Charles, M; Charpentier, Ph; Cheung, S-F; Chiapolini, N; Chrzaszcz, M; Ciba, K; Cid Vidal, X; Ciezarek, G; Clarke, P E L; Clemencic, M; Cliff, H V; Closier, J; Coca, C; Coco, V; Cogan, J; Cogneras, E; Collins, P; Comerma-Montells, A; Contu, A; Cook, A; Coombes, M; Coquereau, S; Corti, G; Corvo, M; Counts, I; Couturier, B; Cowan, G A; Craik, D C; Cruz Torres, M; Cunliffe, S; Currie, R; D'Ambrosio, C; Dalseno, J; David, P; David, P N Y; Davis, A; De Bruyn, K; De Capua, S; De Cian, M; De Miranda, J M; De Paula, L; De Silva, W; De Simone, P; Decamp, D; Deckenhoff, M; Del Buono, L; Déléage, N; Derkach, D; Deschamps, O; Dettori, F; Di Canto, A; Dijkstra, H; Donleavy, S; Dordei, F; Dorigo, M; Dosil Suárez, A; Dossett, D; Dovbnya, A; Dupertuis, F; Durante, P; Dzhelyadin, R; Dziurda, A; Dzyuba, A; Easo, S; Egede, U; Egorychev, V; Eidelman, S; Eisenhardt, S; Eitschberger, U; Ekelhof, R; Eklund, L; El Rifai, I; Elsasser, Ch; Esen, S; Evans, T; Falabella, A; Färber, C; Farinelli, C; Farry, S; Ferguson, D; Fernandez Albor, V; Ferreira Rodrigues, F; Ferro-Luzzi, M; Filippov, S; Fiore, M; Fiorini, M; Firlej, M; Fitzpatrick, C; Fiutowski, T; Fontana, M; Fontanelli, F; Forty, R; Francisco, O; Frank, M; Frei, C; Frosini, M; Fu, J; Furfaro, E; Gallas Torreira, A; Galli, D; Gandelman, M; Gandini, P; Gao, Y; Garofoli, J; Garra Tico, J; Garrido, L; Gaspar, C; Gauld, R; Gavardi, L; Gersabeck, E; Gersabeck, M; Gershon, T; Ghez, Ph; Gianelle, A; Giani, S; Gibson, V; Giubega, L; Gligorov, V V; Göbel, C; Golubkov, D; Golutvin, A; Gomes, A; Gordon, H; Gotti, C; Grabalosa Gándara, M; Graciani Diaz, R; Granado Cardoso, L A; Graugés, E; Graziani, G; Grecu, A; Greening, E; Gregson, S; Griffith, P; Grillo, L; Grünberg, O; Gui, B; Gushchin, E; Guz, Yu; Gys, T; Hadjivasiliou, C; Haefeli, G; Haen, C; Haines, S C; Hall, S; Hamilton, B; Hampson, T; Han, X; Hansmann-Menzemer, S; Harnew, N; Harnew, S T; Harrison, J; Hartmann, T; He, J; Head, T; Heijne, V; Hennessy, K; Henrard, P; Henry, L; Hernando Morata, J A; van Herwijnen, E; Heß, M; Hicheur, A; Hill, D; Hoballah, M; Hombach, C; Hulsbergen, W; Hunt, P; Hussain, N; Hutchcroft, D; Hynds, D; Iakovenko, V; Idzik, M; Ilten, P; Jacobsson, R; Jaeger, A; Jalocha, J; Jans, E; Jaton, P; Jawahery, A; Jezabek, M; Jing, F; John, M; Johnson, D; Jones, C R; Joram, C; Jost, B; Jurik, N; Kaballo, M; Kandybei, S; Kanso, W; Karacson, M; Karbach, T M; Kelsey, M; Kenyon, I R; Ketel, T; Khanji, B; Khurewathanakul, C; Klaver, S; Kochebina, O; Kolpin, M; Komarov, I; Koopman, R F; Koppenburg, P; Korolev, M; Kozlinskiy, A; Kravchuk, L; Kreplin, K; Kreps, M; Krocker, G; Krokovny, P; Kruse, F; Kucharczyk, M; Kudryavtsev, V; Kurek, K; Kvaratskheliya, T; La Thi, V N; Lacarrere, D; Lafferty, G; Lai, A; Lambert, D; Lambert, R W; Lanciotti, E; Lanfranchi, G; Langenbruch, C; Latham, T; Lazzeroni, C; Le Gac, R; van Leerdam, J; Lees, J-P; Lefèvre, R; Leflat, A; Lefrançois, J; Leo, S; Leroy, O; Lesiak, T; Leverington, B; Li, Y; Liles, M; Lindner, R; Linn, C; Lionetto, F; Liu, B; Liu, G; Lohn, S; Longstaff, I; Longstaff, I; Lopes, J H; Lopez-March, N; Lowdon, P; Lu, H; Lucchesi, D; Luisier, J; Luo, H; Lupato, A; Luppi, E; Lupton, O; Machefert, F; Machikhiliyan, I V; Maciuc, F; Maev, O; Malde, S; Manca, G; Mancinelli, G; Manzali, M; Maratas, J; Marchand, J F; Marconi, U; Marino, P; Märki, R; Marks, J; Martellotti, G; Martens, A; Martín Sánchez, A; Martinelli, M; Martinez Santos, D; Martinez Vidal, F; Martins Tostes, D; Massafferri, A; Matev, R; Mathe, Z; Matteuzzi, C; Mazurov, A; McCann, M; McCarthy, J; McNab, A; McNulty, R; McSkelly, B; Meadows, B; Meier, F; Meissner, M; Merk, M; Milanes, D A; Minard, M-N; Molina Rodriguez, J; Monteil, S; Moran, D; Morandin, M; Morawski, P; Mordà, A; Morello, M J; Moron, J; Mountain, R; Muheim, F; Müller, K; Muresan, R; Muster, B; Naik, P; Nakada, T; Nandakumar, R; Nasteva, I; Needham, M; Neri, N; Neubert, S; Neufeld, N; Neuner, M; Nguyen, A D; Nguyen, T D; Nguyen-Mau, C; Nicol, M; Niess, V; Niet, R; Nikitin, N; Nikodem, T; Novoselov, A; Oblakowska-Mucha, A; Obraztsov, V; Oggero, S; Ogilvy, S; Okhrimenko, O; Oldeman, R; Onderwater, G; Orlandea, M; Otalora Goicochea, J M; Owen, P; Oyanguren, A; Pal, B K; Palano, A; Palombo, F; Palutan, M; Panman, J; Papanestis, A; Pappagallo, M; Parkes, C; Parkinson, C J; Passaleva, G; Patel, G D; Patel, M; Patrignani, C; Pazos Alvarez, A; Pearce, A; Pellegrino, A; Penso, G; Pepe Altarelli, M; Perazzini, S; Perez Trigo, E; Perret, P; Perrin-Terrin, M; Pescatore, L; Pesen, E; Petridis, K; Petrolini, A; Picatoste Olloqui, E; Pietrzyk, B; Pilař, T; Pinci, D; Pistone, A; Playfer, S; Plo Casasus, M; Polci, F; Polok, G; Poluektov, A; Polycarpo, E; Popov, A; Popov, D; Popovici, B; Potterat, C; Powell, A; Prisciandaro, J; Pritchard, A; Prouve, C; Pugatch, V; Puig Navarro, A; Punzi, G; Qian, W; Rachwal, B; Rademacker, J H; Rakotomiaramanana, B; Rama, M; Rangel, M S; Raniuk, I; Rauschmayr, N; Raven, G; Redford, S; Reichert, S; Reid, M M; Dos Reis, A C; Ricciardi, S; Richards, A; Rinnert, K; Rives Molina, V; Roa Romero, D A; Robbe, P; Rodrigues, A B; Rodrigues, E; Rodriguez Perez, P; Roiser, S; Romanovsky, V; Romero Vidal, A; Rotondo, M; Rouvinet, J; Ruf, T; Ruffini, F; Ruiz, H; Ruiz Valls, P; Sabatino, G; Saborido Silva, J J; Sagidova, N; Sail, P; Saitta, B; Salustino Guimaraes, V; Sanchez Mayordomo, C; Sanmartin Sedes, B; Santacesaria, R; Santamarina Rios, C; Santovetti, E; Sapunov, M; Sarti, A; Satriano, C; Satta, A; Savrie, M; Savrina, D; Schiller, M; Schindler, H; Schlupp, M; Schmelling, M; Schmidt, B; Schneider, O; Schopper, A; Schune, M-H; Schwemmer, R; Sciascia, B; Sciubba, A; Seco, M; Semennikov, A; Senderowska, K; Sepp, I; Serra, N; Serrano, J; Sestini, L; Seyfert, P; Shapkin, M; Shapoval, I; Shcheglov, Y; Shears, T; Shekhtman, L; Shevchenko, V; Shires, A; Silva Coutinho, R; Simi, G; Sirendi, M; Skidmore, N; Skwarnicki, T; Smith, N A; Smith, E; Smith, E; Smith, J; Smith, M; Snoek, H; Sokoloff, M D; Soler, F J P; Soomro, F; Souza, D; Souza De Paula, B; Spaan, B; Sparkes, A; Spinella, F; Spradlin, P; Stagni, F; Stahl, S; Steinkamp, O; Stenyakin, O; Stevenson, S; Stoica, S; Stone, S; Storaci, B; Stracka, S; Straticiuc, M; Straumann, U; Stroili, R; Subbiah, V K; Sun, L; Sutcliffe, W; Swientek, K; Swientek, S; Syropoulos, V; Szczekowski, M; Szczypka, P; Szilard, D; Szumlak, T; T'Jampens, S; Teklishyn, M; Tellarini, G; Teodorescu, E; Teubert, F; Thomas, C; Thomas, E; van Tilburg, J; Tisserand, V; Tobin, M; Tolk, S; Tomassetti, L; Tonelli, D; Topp-Joergensen, S; Torr, N; Tournefier, E; Tourneur, S; Tran, M T; Tresch, M; Tsaregorodtsev, A; Tsopelas, P; Tuning, N; Ubeda Garcia, M; Ukleja, A; Ustyuzhanin, A; Uwer, U; Vagnoni, V; Valenti, G; Vallier, A; Vazquez Gomez, R; Vazquez Regueiro, P; Vázquez Sierra, C; Vecchi, S; Velthuis, J J; Veltri, M; Veneziano, G; Vesterinen, M; Viaud, B; Vieira, D; Vieites Diaz, M; Vilasis-Cardona, X; Vollhardt, A; Volyanskyy, D; Voong, D; Vorobyev, A; Vorobyev, V; Voß, C; Voss, H; de Vries, J A; Waldi, R; Wallace, C; Wallace, R; Walsh, J; Wandernoth, S; Wang, J; Ward, D R; Watson, N K; Webber, A D; Websdale, D; Whitehead, M; Wicht, J; Wiedner, D; Wiggers, L; Wilkinson, G; Williams, M P; Williams, M; Wilson, F F; Wimberley, J; Wishahi, J; Wislicki, W; Witek, M; Wormser, G; Wotton, S A; Wright, S; Wu, S; Wyllie, K; Xie, Y; Xing, Z; Xu, Z; Yang, Z; Yuan, X; Yushchenko, O; Zangoli, M; Zavertyaev, M; Zhang, F; Zhang, L; Zhang, W C; Zhang, Y; Zhelezov, A; Zhokhov, A; Zhong, L; Zvyagin, A

    The polarisation of prompt [Formula: see text] mesons is measured by performing an angular analysis of [Formula: see text] decays using proton-proton collision data, corresponding to an integrated luminosity of 1.0[Formula: see text], collected by the LHCb detector at a centre-of-mass energy of 7 TeV. The polarisation is measured in bins of transverse momentum [Formula: see text] and rapidity [Formula: see text] in the kinematic region [Formula: see text] and [Formula: see text], and is compared to theoretical models. No significant polarisation is observed.

  6. Collagen cross linking: Current perspectives

    Srinivas K Rao

    2013-01-01

    Full Text Available Keratoconus is a common ectatic disorder occurring in more than 1 in 1,000 individuals. The condition typically starts in adolescence and early adulthood. It is a disease with an uncertain cause and its progression is unpredictable, but in extreme cases, vision deteriorates and can require corneal transplant surgery. Corneal collagen cross-linking (CCL with riboflavin (C3R is a recent treatment option that can enhance the rigidity of the cornea and prevent disease progression. Since its inception, the procedure has evolved with newer instrumentation, surgical techniques, and is also now performed for expanded indications other than keratoconus. With increasing experience, newer guidelines regarding optimization of patient selection, the spectrum of complications and their management, and combination procedures are being described. This article in conjunction with the others in this issue, will try and explore the uses of collagen cross-linking (CXL in its current form.

  7. Using turbocodes on optical links

    Glenn Claes

    2006-04-01

    Full Text Available The fast evolving telecommunication world is permanently in search for faster and better communication links. On one hand, turbo codes are like a dream come true. Due to their amazing performance, they have become the reference in the word of error detecting and correcting codes. On the other hand, broadband transmission channels like optical fibres can meet the need for higher transmission velocity. In this paper therefore we will bring these two elements together and thus the performance of turbocodes on optical links will be studied. First the turbocode will be optimised throughout an individual analysis of each of its design parameters. Moreover it wil be shown that turbocodes have much better performance than the well known Reed-Solomon codes. Finally we will show that the 8Bit/10Bit code, which is required to comply with the Gigabit Ethernet standard, becomes superfluous when working with turbocodes. All tests were carried out on multimode graded-index glass fibres.

  8. Improving e-book access via a library-developed full-text search tool.

    Foust, Jill E; Bergen, Phillip; Maxeiner, Gretchen L; Pawlowski, Peter N

    2007-01-01

    This paper reports on the development of a tool for searching the contents of licensed full-text electronic book (e-book) collections. The Health Sciences Library System (HSLS) provides services to the University of Pittsburgh's medical programs and large academic health system. The HSLS has developed an innovative tool for federated searching of its e-book collections. Built using the XML-based Vivísimo development environment, the tool enables a user to perform a full-text search of over 2,500 titles from the library's seven most highly used e-book collections. From a single "Google-style" query, results are returned as an integrated set of links pointing directly to relevant sections of the full text. Results are also grouped into categories that enable more precise retrieval without reformulation of the search. A heuristic evaluation demonstrated the usability of the tool and a web server log analysis indicated an acceptable level of usage. Based on its success, there are plans to increase the number of online book collections searched. This library's first foray into federated searching has produced an effective tool for searching across large collections of full-text e-books and has provided a good foundation for the development of other library-based federated searching products.

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

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

    2012-07-23

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

  10. UpSet: Visualization of Intersecting Sets

    Lex, Alexander; Gehlenborg, Nils; Strobelt, Hendrik; Vuillemot, Romain; Pfister, Hanspeter

    2016-01-01

    Understanding relationships between sets is an important analysis task that has received widespread attention in the visualization community. The major challenge in this context is the combinatorial explosion of the number of set intersections if the number of sets exceeds a trivial threshold. In this paper we introduce UpSet, a novel visualization technique for the quantitative analysis of sets, their intersections, and aggregates of intersections. UpSet is focused on creating task-driven aggregates, communicating the size and properties of aggregates and intersections, and a duality between the visualization of the elements in a dataset and their set membership. UpSet visualizes set intersections in a matrix layout and introduces aggregates based on groupings and queries. The matrix layout enables the effective representation of associated data, such as the number of elements in the aggregates and intersections, as well as additional summary statistics derived from subset or element attributes. Sorting according to various measures enables a task-driven analysis of relevant intersections and aggregates. The elements represented in the sets and their associated attributes are visualized in a separate view. Queries based on containment in specific intersections, aggregates or driven by attribute filters are propagated between both views. We also introduce several advanced visual encodings and interaction methods to overcome the problems of varying scales and to address scalability. UpSet is web-based and open source. We demonstrate its general utility in multiple use cases from various domains. PMID:26356912

  11. Mining consumer health vocabulary from community-generated text.

    Vydiswaran, V G Vinod; Mei, Qiaozhu; Hanauer, David A; Zheng, Kai

    2014-01-01

    Community-generated text corpora can be a valuable resource to extract consumer health vocabulary (CHV) and link them to professional terminologies and alternative variants. In this research, we propose a pattern-based text-mining approach to identify pairs of CHV and professional terms from Wikipedia, a large text corpus created and maintained by the community. A novel measure, leveraging the ratio of frequency of occurrence, was used to differentiate consumer terms from professional terms. We empirically evaluated the applicability of this approach using a large data sample consisting of MedLine abstracts and all posts from an online health forum, MedHelp. The results show that the proposed approach is able to identify synonymous pairs and label the terms as either consumer or professional term with high accuracy. We conclude that the proposed approach provides great potential to produce a high quality CHV to improve the performance of computational applications in processing consumer-generated health text.

  12. A method for identifying hierarchical sub-networks / modules and weighting network links based on their similarity in sub-network / module affiliation

    WenJun Zhang

    2016-06-01

    Full Text Available Some networks, including biological networks, consist of hierarchical sub-networks / modules. Based on my previous study, in present study a method for both identifying hierarchical sub-networks / modules and weighting network links is proposed. It is based on the cluster analysis in which between-node similarity in sets of adjacency nodes is used. Two matrices, linkWeightMat and linkClusterIDs, are achieved by using the algorithm. Two links with both the same weight in linkWeightMat and the same cluster ID in linkClusterIDs belong to the same sub-network / module. Two links with the same weight in linkWeightMat but different cluster IDs in linkClusterIDs belong to two sub-networks / modules at the same hirarchical level. However, a link with an unique cluster ID in linkClusterIDs does not belong to any sub-networks / modules. A sub-network / module of the greater weight is the more connected sub-network / modules. Matlab codes of the algorithm are presented.

  13. Linking to the Future

    Moore, John W.

    1999-09-01

    of JCE in the mail each month, and I expect you do too. I can glance at the cover to get an overview of an issue's content, and I usually am enticed inside by intriguing cover art. I can scan the table of contents to find articles I want to read, or I can just browse through the issue to see what looks interesting. Usually the editors have juxtaposed related articles so that I often find a small treasure trove. The printed Journal is quite portable and can be read in a car or airplane. It will last a long time, and until the paper deteriorates, I will never have a problem reading back issues. I have almost every issue from the first day I subscribed and have even added some older ones from collections of retired colleagues who no longer had shelf space for them. I certainly would not want to give up my printed copies, and I want to keep getting them. I find that JCE Online provides a different kind of resource that is equally valuable. It contains more information, and information that is more appropriate in electronic form. It links related ideas into a much more complex web of information than is possible in print. And it opens pathways to lots of information that is not part of JCE but resides elsewhere. Using this issue as an example, let's take a tour of what JCE Online can do. Point your Web browser to http://jchemed.chem.wisc.edu Click on Journal and then on Current Issue (unless September 1999 is no longer the current issue, in which case you will find it in Past Issues). In the table of contents, find the article "UV Catalysis, Cyanotype Photography, and Sunscreens". Click on the title. When the abstract appears, click on Full Text (PDF) to see the article, just as it appears on page 1199 in this issue. When you are prompted, enter the name and subscriber number from your address label. At the end of the article you will find that supplementary materials are available (including a procedure for testing sunscreens) and you can click on the link to view them

  14. PhenoLink - a web-tool for linking phenotype to ~omics data for bacteria: application to gene-trait matching for Lactobacillus plantarum strains

    Bayjanov Jumamurat R

    2012-05-01

    Full Text Available Abstract Background Linking phenotypes to high-throughput molecular biology information generated by ~omics technologies allows revealing cellular mechanisms underlying an organism's phenotype. ~Omics datasets are often very large and noisy with many features (e.g., genes, metabolite abundances. Thus, associating phenotypes to ~omics data requires an approach that is robust to noise and can handle large and diverse data sets. Results We developed a web-tool PhenoLink (http://bamics2.cmbi.ru.nl/websoftware/phenolink/ that links phenotype to ~omics data sets using well-established as well new techniques. PhenoLink imputes missing values and preprocesses input data (i to decrease inherent noise in the data and (ii to counterbalance pitfalls of the Random Forest algorithm, on which feature (e.g., gene selection is based. Preprocessed data is used in feature (e.g., gene selection to identify relations to phenotypes. We applied PhenoLink to identify gene-phenotype relations based on the presence/absence of 2847 genes in 42 Lactobacillus plantarum strains and phenotypic measurements of these strains in several experimental conditions, including growth on sugars and nitrogen-dioxide production. Genes were ranked based on their importance (predictive value to correctly predict the phenotype of a given strain. In addition to known gene to phenotype relations we also found novel relations. Conclusions PhenoLink is an easily accessible web-tool to facilitate identifying relations from large and often noisy phenotype and ~omics datasets. Visualization of links to phenotypes offered in PhenoLink allows prioritizing links, finding relations between features, finding relations between phenotypes, and identifying outliers in phenotype data. PhenoLink can be used to uncover phenotype links to a multitude of ~omics data, e.g., gene presence/absence (determined by e.g.: CGH or next-generation sequencing, gene expression (determined by e.g.: microarrays or RNA

  15. Examining Text Complexity in the Early Grades

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

    2016-01-01

    The Common Core raises the stature of texts to new heights, creating a hubbub. The fuss is especially messy at the early grades, where children are expected to read more complex texts than in the past. But early-grades teachers have been given little actionable guidance about text complexity. The authors recently examined early-grades texts to…

  16. Link to paper

    U.S. Environmental Protection Agency — Link to the paper. This dataset is associated with the following publication: Naile, J., A.W. Garrison, J. Avants, and J. Washington. Isomers/enantiomers of...

  17. Compulsive exercise: links, risks and challenges faced

    Lichtenstein MB

    2017-03-01

    Full Text Available Mia Beck Lichtenstein,1 Cecilie Juul Hinze,2 Bolette Emborg,3 Freja Thomsen,2 Simone Daugaard Hemmingsen4 1Department of Psychology, Faculty of Health Sciences, University of Southern Denmark, 2Research Unit for Telepsychiatry and E-mental Health, Mental Health Services in the Region of Southern Denmark, Odense, 3Department of Public Health, Aarhus University, Aarhus, 4Research Unit, Child and Adolescent Psychiatry, Mental Health Services in the Region of Southern Denmark, Odense, Denmark Abstract: Compulsive exercise is a condition described since 1970s. It is characterized by a craving for physical training, resulting in uncontrollable excessive exercise behavior with harmful consequences, such as injuries and impaired social relations. It has not been accepted as a mental disorder in either International Classification of Diseases or Diagnostic and Statistical Manual of Mental Disorders. The aim of this literature review was to critically examine the research on links (comorbidity, risks (negative consequences, and challenges faced (problems in a treatment context. This review found that compulsive exercise is associated with eating disorder pathology, perfectionism, neuroticism, narcissism, and obsessive compulsive traits. The most prominent negative consequences were injuries, social impairment, and depression, but more research is needed to uncover the potential dysfunction resulting from compulsive exercise. As the condition is not recognized as a psychiatric disorder, studies on treatment interventions are sparse. Problems with compliance have been reported; therefore, motivational interviewing has been proposed as a treatment approach, in combination with cognitive behavioral therapy. This review summarizes and discusses findings on links/comorbidity, risks/negative consequences, and treatment challenges. We suggest that future studies should pay attention to both prevention and counseling in sports settings, where compulsive exercise

  18. SAW Classification Algorithm for Chinese Text Classification

    Xiaoli Guo; Huiyu Sun; Tiehua Zhou; Ling Wang; Zhaoyang Qu; Jiannan Zang

    2015-01-01

    Considering the explosive growth of data, the increased amount of text data’s effect on the performance of text categorization forward the need for higher requirements, such that the existing classification method cannot be satisfied. Based on the study of existing text classification technology and semantics, this paper puts forward a kind of Chinese text classification oriented SAW (Structural Auxiliary Word) algorithm. The algorithm uses the special space effect of Chinese text where words...

  19. The Missing Link

    Schultz, Laura Luise

    2014-01-01

    Paper presented at A Valentine to Gertrude Stein. The Reception of Gertrude Stein in the Arts and Humanities, held at the University of Copenhagen 8. - 10. May 2014, in collaboration with the universities of Ghent and Linköping......Paper presented at A Valentine to Gertrude Stein. The Reception of Gertrude Stein in the Arts and Humanities, held at the University of Copenhagen 8. - 10. May 2014, in collaboration with the universities of Ghent and Linköping...

  20. CERCLIS (Superfund) ASCII Text Format - CPAD Database

    U.S. Environmental Protection Agency — The Comprehensive Environmental Response, Compensation and Liability Information System (CERCLIS) (Superfund) Public Access Database (CPAD) contains a selected set...

  1. Authentic texts in teaching French as a foreign language

    Meta Lah

    2010-12-01

    Full Text Available The present paper is aimed at providing a ref lection on the use of authentic texts in French as a foreign language classroom. The author bases herself on an analysis of texts taken from four textbook sets (Le nouveau sans fronti`eres, Panorama, Campus and Rond point, which were or are still used in teaching French as a foreign language. Initially, a definition of authenticity and a survey of authentic material usage through history are provided. In the overview of the texts forming the corpus the texts are divided into authentic, adapted, apparently authentic and those for which no assumption can be made as to their authenticity. The authenticity analysis is also carried out by taking into account the analysis of/categorisation into text types (according to Adam. The author proceeds from two premises, i.e. firstly she foresees that authentic texts will be present in all text books analysed and secondly, considering the greater accessibility of materials, that their presence will be more pronounced in recent textbooks. However, none of the two hypo theses is confirmed, as authentic texts are found in the first three textbook sets, but not in the most recent one, while their presence is most pronounced in the oldest textbook set, i.e. in Le nouveau sans fronti`eres. The result of the analysis is thus somehow surprising given the overall accessibility of all kinds of authentic materials. In the author's opinion more authentic texts should be included into textbooks to thus enhance the purposeful ness of the foreign language classroom.

  2. Fuzzy sets, rough sets, multisets and clustering

    Dahlbom, Anders; Narukawa, Yasuo

    2017-01-01

    This book is dedicated to Prof. Sadaaki Miyamoto and presents cutting-edge papers in some of the areas in which he contributed. Bringing together contributions by leading researchers in the field, it concretely addresses clustering, multisets, rough sets and fuzzy sets, as well as their applications in areas such as decision-making. The book is divided in four parts, the first of which focuses on clustering and classification. The second part puts the spotlight on multisets, bags, fuzzy bags and other fuzzy extensions, while the third deals with rough sets. Rounding out the coverage, the last part explores fuzzy sets and decision-making.

  3. Partition of Ni between olivine and sulfide: the effect of temperature, f_{{text{O}}_{text{2}} } and f_{{text{S}}_{text{2}} }

    Fleet, M. E.; Macrae, N. D.

    1987-03-01

    The experimental distribution coefficient for Ni/ Fe exchange between olivine and monosulfide (KD3) is 35.6±1.1 at 1385° C, f_{{text{O}}_{text{2}} } = 10^{ - 8.87} ,f_{{text{S}}_{text{2}} } = 10^{ - 1.02} , and olivine of composition Fo96 to Fo92. These are the physicochemical conditions appropriate to hypothesized sulfur-saturated komatiite magma. The present experiments equilibrated natural olivine grains with sulfide-oxide liquid in the presence of a (Mg, Fe)-alumino-silicate melt. By a variety of different experimental procedures, K D3 is shown to be essentially constant at about 30 to 35 in the temperature range 900 to 1400° C, for olivine of composition Fo97 to FoO, monosulfide composition with up to 70 mol. % NiS, and a wide range of f_{{text{O}}_{text{2}} } and f_{{text{S}}_{text{2}} }.

  4. Arabic text classification using Polynomial Networks

    Mayy M. Al-Tahrawi

    2015-10-01

    Full Text Available In this paper, an Arabic statistical learning-based text classification system has been developed using Polynomial Neural Networks. Polynomial Networks have been recently applied to English text classification, but they were never used for Arabic text classification. In this research, we investigate the performance of Polynomial Networks in classifying Arabic texts. Experiments are conducted on a widely used Arabic dataset in text classification: Al-Jazeera News dataset. We chose this dataset to enable direct comparisons of the performance of Polynomial Networks classifier versus other well-known classifiers on this dataset in the literature of Arabic text classification. Results of experiments show that Polynomial Networks classifier is a competitive algorithm to the state-of-the-art ones in the field of Arabic text classification.

  5. Multimodal Diversity of Postmodernist Fiction Text

    U. I. Tykha

    2016-12-01

    Full Text Available The article is devoted to the analysis of structural and functional manifestations of multimodal diversity in postmodernist fiction texts. Multimodality is defined as the coexistence of more than one semiotic mode within a certain context. Multimodal texts feature a diversity of semiotic modes in the communication and development of their narrative. Such experimental texts subvert conventional patterns by introducing various semiotic resources – verbal or non-verbal.

  6. Youth Texting: Help or Hindrance to Literacy?

    Zebroff, Dmitri

    2018-01-01

    An extensive amount of research has been performed in recent years into the widespread practice of text messaging in youth. As part of this broad area of research, the associations between youth texting and literacy have been investigated in a variety of contexts. A comprehensive, semi-systematic review of the literature into texting and literacy…

  7. Choices of texts for literary education

    Skyggebjerg, Anna Karlskov

    This paper charts the general implications of the choice of texts for literature teaching in the Danish school system, especially in Grades 8 and 9. It will analyze and discuss the premises of the choice of texts, and the possibilities of a certain choice of text in a concrete classroom situation...

  8. Effects of Text Messaging on Academic Performance

    Barks Amanda; Searight H. Russell; Ratwik Susan

    2011-01-01

    University students frequently send and receive cellular phone text messages during classroominstruction. Cognitive psychology research indicates that multi-tasking is frequently associatedwith performance cost. However, university students often have considerable experience withelectronic multi-tasking and may believe that they can devote necessary attention to a classroomlecture while sending and receiving text messages. In the current study, university students whoused text messaging were ...

  9. Text-Picture Relations in Cooking Instructions

    van der Sluis, Ielka; Leito, Shadira; Redeker, Gisela; Bunt, Harry

    2016-01-01

    Like many other instructions, recipes on packages with ready-to-use ingredients for a dish combine a series of pictures with short text paragraphs. The information presentation in such multimodal instructions can be compact (either text or picture) and/or cohesive (text and picture). In an

  10. Academic Journal Embargoes and Full Text Databases.

    Brooks, Sam

    2003-01-01

    Documents the reasons for embargoes of academic journals in full text databases (i.e., publisher-imposed delays on the availability of full text content) and provides insight regarding common misconceptions. Tables present data on selected journals covering a cross-section of subjects and publishers and comparing two full text business databases.…

  11. A quick survey of text categorization algorithms

    Dan MUNTEANU

    2007-12-01

    Full Text Available This paper contains an overview of basic formulations and approaches to text classification. This paper surveys the algorithms used in text categorization: handcrafted rules, decision trees, decision rules, on-line learning, linear classifier, Rocchio’s algorithm, k Nearest Neighbor (kNN, Support Vector Machines (SVM.

  12. Inclusion in the Workplace - Text Version | NREL

    Careers » Inclusion in the Workplace - Text Version Inclusion in the Workplace - Text Version This is the text version for the Inclusion: Leading by Example video. I'm Martin Keller. I'm the NREL of the laboratory. Another very important element in inclusion is diversity. Because if we have a

  13. Effects of Text Messaging on Academic Performance

    Barks Amanda

    2011-12-01

    Full Text Available University students frequently send and receive cellular phone text messages during classroominstruction. Cognitive psychology research indicates that multi-tasking is frequently associatedwith performance cost. However, university students often have considerable experience withelectronic multi-tasking and may believe that they can devote necessary attention to a classroomlecture while sending and receiving text messages. In the current study, university students whoused text messaging were randomly assigned to one of two conditions: 1. a group that sent andreceived text messages during a lecture or, 2. a group that did not engage in text messagingduring the lecture. Participants who engaged in text messaging demonstrated significantlypoorer performance on a test covering lecture content compared with the group that did notsend and receive text messages. Participants exhibiting higher levels of text messaging skill hadsignificantly lower test scores than participants who were less proficient at text messaging. It ishypothesized that in terms of retention of lecture material, more frequent task shifting by thosewith greater text messaging proficiency contributed to poorer performance. Overall, the findingsdo not support the view, held by many university students, that this form of multitasking has littleeffect on the acquisition of lecture content. Results provide empirical support for teachers andprofessors who ban text messaging in the classroom.

  14. The artists' text as work of art

    van Rijn, I.A.M.J.

    2017-01-01

    Artists’ texts are texts written and produced by visual artists. Their number increasing since the 2000s, it becomes important to clarify their obscure relationship to art institutions. Analysing and comparing four different artists’ texts on a textual level, this research proposes an alternative to

  15. Linking performance incentives to ethical practice

    Boudi FB

    2018-02-01

    Full Text Available No abstract available. Article truncated after 150 words. Health spending is a huge part of the United States economy as it is a large business. We all have seen increasing inclusion of corporate practices in health care. One such inclusion is the incentive programs which have at their core the goal of production of the desired behavioral outcomes directly related either to performance output or extraordinary achievement. However, management influence on the organization’s ethical environment and culture can inadvertently encourage or endorse unethical behavior despite the best intentions. One way would be failing to link performance incentives to ethical practice. When leaders create strong incentives to accomplish a goal without creating equally strong incentives to adhere to ethical practice in achieving the desired goal, they effectively set the stage for ethical malpractice. Incentivizing ethical practice is equally important as incentivizing other behaviors (1. In the health care industry, unlike in the sales industry, professionalism and patient care are …

  16. Figure text extraction in biomedical literature.

    Daehyun Kim

    2011-01-01

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

  17. NetiNeti: discovery of scientific names from text using machine learning methods

    Akella Lakshmi

    2012-08-01

    Full Text Available Abstract Background A scientific name for an organism can be associated with almost all biological data. Name identification is an important step in many text mining tasks aiming to extract useful information from biological, biomedical and biodiversity text sources. A scientific name acts as an important metadata element to link biological information. Results We present NetiNeti (Name Extraction from Textual Information-Name Extraction for Taxonomic Indexing, a machine learning based approach for recognition of scientific names including the discovery of new species names from text that will also handle misspellings, OCR errors and other variations in names. The system generates candidate names using rules for scientific names and applies probabilistic machine learning methods to classify names based on structural features of candidate names and features derived from their contexts. NetiNeti can also disambiguate scientific names from other names using the contextual information. We evaluated NetiNeti on legacy biodiversity texts and biomedical literature (MEDLINE. NetiNeti performs better (precision = 98.9% and recall = 70.5% compared to a popular dictionary based approach (precision = 97.5% and recall = 54.3% on a 600-page biodiversity book that was manually marked by an annotator. On a small set of PubMed Central’s full text articles annotated with scientific names, the precision and recall values are 98.5% and 96.2% respectively. NetiNeti found more than 190,000 unique binomial and trinomial names in more than 1,880,000 PubMed records when used on the full MEDLINE database. NetiNeti also successfully identifies almost all of the new species names mentioned within web pages. Conclusions We present NetiNeti, a machine learning based approach for identification and discovery of scientific names. The system implementing the approach can be accessed at http://namefinding.ubio.org.

  18. Minimizing SIP Session Re-Setup Delay over Wireless Link in 3G Handover Scenarios

    Moon Bongkyo

    2010-01-01

    Full Text Available The delay in transmitting SIP messages over the wireless link for session resetup at handover is still major bottleneck for interactive multimedia service. In this paper, a proxy agent-based scheme is proposed to minimize the SIP session setup delay over a wireless link in 3G inter-subnet handover scenarios. This scheme is based on the two characteristics. One is that the major factor of SIP session re-setup delay is generally caused by the retransmissions in the unreliable wireless links, and the other is that most of the fields in request messages as well as response messages are duplicated when a set of SIP messages are exchanged during session re-setup procedure. In this scheme, no change is required in the SIP message processing except for the proxy agents in both BS and MH.

  19. Discovering gene annotations in biomedical text databases

    Ozsoyoglu Gultekin

    2008-03-01

    Full Text Available Abstract Background Genes and gene products are frequently annotated with Gene Ontology concepts based on the evidence provided in genomics articles. Manually locating and curating information about a genomic entity from the biomedical literature requires vast amounts of human effort. Hence, there is clearly a need forautomated computational tools to annotate the genes and gene products with Gene Ontology concepts by computationally capturing the related knowledge embedded in textual data. Results In this article, we present an automated genomic entity annotation system, GEANN, which extracts information about the characteristics of genes and gene products in article abstracts from PubMed, and translates the discoveredknowledge into Gene Ontology (GO concepts, a widely-used standardized vocabulary of genomic traits. GEANN utilizes textual "extraction patterns", and a semantic matching framework to locate phrases matching to a pattern and produce Gene Ontology annotations for genes and gene products. In our experiments, GEANN has reached to the precision level of 78% at therecall level of 61%. On a select set of Gene Ontology concepts, GEANN either outperforms or is comparable to two other automated annotation studies. Use of WordNet for semantic pattern matching improves the precision and recall by 24% and 15%, respectively, and the improvement due to semantic pattern matching becomes more apparent as the Gene Ontology terms become more general. Conclusion GEANN is useful for two distinct purposes: (i automating the annotation of genomic entities with Gene Ontology concepts, and (ii providing existing annotations with additional "evidence articles" from the literature. The use of textual extraction patterns that are constructed based on the existing annotations achieve high precision. The semantic pattern matching framework provides a more flexible pattern matching scheme with respect to "exactmatching" with the advantage of locating approximate

  20. Modelling and Intelligent Control of an Elastic Link Robot Manipulator

    Malik Loudini

    2013-01-01

    Full Text Available In this paper, precise control of the end-point position of a planar single-link elastic manipulator robot is discussed. The Timoshenko beam theory (TBT has been used to characterize the structural link elasticity including important damping mechanisms. A suitable nonlinear model is derived based on the Lagrangian assumed modes method. Elastic link manipulators are classified as systems possessing highly complex dynamics. In addition, the environment in which they operate may have a lot of disturbances. These give rise to special problems that may be solved using intelligent control techniques. The application of two advanced control strategies based on fuzzy set theory is investigated. The first closed-loop control scheme to be applied is the standard Proportional-Derivative (PD type fuzzy logic controller (FLC, also known as PD-type Mamdani's FLC (MPDFLC. Then, a genetic algorithm (GA is used to optimize the MPDFLC parameters with innovative tuning procedures. Both the MPDFLC and the GA optimized FLC (GAOFLC are implemented and tested to achieve a precise control of the manipulator end-point. The performances of the adopted closed-loop intelligent control strategies are examined via simulation experiments.

  1. Hip Hop Dance Experience Linked to Sociocognitive Ability.

    Justin W Bonny

    Full Text Available Expertise within gaming (e.g., chess, video games and kinesthetic (e.g., sports, classical dance activities has been found to be linked with specific cognitive skills. Some of these skills, working memory, mental rotation, problem solving, are linked to higher performance in science, technology, math, and engineering (STEM disciplines. In the present study, we examined whether experience in a different activity, hip hop dance, is also linked to cognitive abilities connected with STEM skills as well as social cognition ability. Dancers who varied in hip hop and other dance style experience were presented with a set of computerized tasks that assessed working memory capacity, mental rotation speed, problem solving efficiency, and theory of mind. We found that, when controlling for demographic factors and other dance style experience, those with greater hip hop dance experience were faster at mentally rotating images of hands at greater angle disparities and there was a trend for greater accuracy at identifying positive emotions displayed by cropped images of human faces. We suggest that hip hop dance, similar to other more technical activities such as video gameplay, tap some specific cognitive abilities that underlie STEM skills. Furthermore, we suggest that hip hop dance experience can be used to reach populations who may not otherwise be interested in other kinesthetic or gaming activities and potentially enhance select sociocognitive skills.

  2. Free Space Optics – Monitoring Setup for Experimental Link

    Ján Tóth

    2015-12-01

    Full Text Available This paper deals with advanced Free Space Optics communication technology. Two FSO nodes are needed in order to make a connection. Laser diodes are used as light sources. Simple OOK modulation is involved in this technology. FSO system offers multiple advantages indeed. However, a direct visibility is required in order to set up a communication link. This fact yields perhaps the most significant weakness of this technology. Obviously, there is no a chance to fight the weather phenomena like fog, heavy rain, dust and many other particles which are naturally present in the atmosphere. That’s why there is a key task to find a suitable solution to keep FSO link working with high reliability and availability. It turns out that it’s necessary to have knowledge about weather situation when FSO link operates (liquid water content - LWC, geographical location, particle size distribution, average particle diameter, temperature, humidity, wind conditions, pressure and many other variable weather parameters. It’s obvious that having most of mentioned parameter’s values stored in database (implicitly in charts would be really beneficial. This paper presents some of mentioned indicators continuously gathered from several sensors located close to one of FSO nodes.

  3. A comprehensive and quantitative comparison of text-mining in 15 million full-text articles versus their corresponding abstracts.

    Westergaard, David; Stærfeldt, Hans-Henrik; Tønsberg, Christian; Jensen, Lars Juhl; Brunak, Søren

    2018-02-01

    Across academia and industry, text mining has become a popular strategy for keeping up with the rapid growth of the scientific literature. Text mining of the scientific literature has mostly been carried out on collections of abstracts, due to their availability. Here we present an analysis of 15 million English scientific full-text articles published during the period 1823-2016. We describe the development in article length and publication sub-topics during these nearly 250 years. We showcase the potential of text mining by extracting published protein-protein, disease-gene, and protein subcellular associations using a named entity recognition system, and quantitatively report on their accuracy using gold standard benchmark data sets. We subsequently compare the findings to corresponding results obtained on 16.5 million abstracts included in MEDLINE and show that text mining of full-text articles consistently outperforms using abstracts only.

  4. A comprehensive and quantitative comparison of text-mining in 15 million full-text articles versus their corresponding abstracts

    Westergaard, David; Stærfeldt, Hans-Henrik

    2018-01-01

    Across academia and industry, text mining has become a popular strategy for keeping up with the rapid growth of the scientific literature. Text mining of the scientific literature has mostly been carried out on collections of abstracts, due to their availability. Here we present an analysis of 15 million English scientific full-text articles published during the period 1823–2016. We describe the development in article length and publication sub-topics during these nearly 250 years. We showcase the potential of text mining by extracting published protein–protein, disease–gene, and protein subcellular associations using a named entity recognition system, and quantitatively report on their accuracy using gold standard benchmark data sets. We subsequently compare the findings to corresponding results obtained on 16.5 million abstracts included in MEDLINE and show that text mining of full-text articles consistently outperforms using abstracts only. PMID:29447159

  5. MeSHmap: a text mining tool for MEDLINE.

    Srinivasan, P.

    2001-01-01

    Our research goal is to explore text mining from the metadata included in MEDLINE documents. We present MeSHmap our prototype text mining system that exploits the MeSH indexing accompanying MEDLINE records. MeSHmap supports searches via PubMed followed by user driven exploration of the MeSH terms and subheadings in the retrieved set. The potential of the system goes beyond text retrieval. It may also be used to compare entities of the same type such as pairs of drugs or pairs of procedures et...

  6. The Instructional Text like a Textual Genre

    Adiane Fogali Marinello

    2011-07-01

    Full Text Available This article analyses the instructional text as a textual genre and is part of the research called Reading and text production from the textual genre perspective, done at Universidade de Caxias do Sul, Campus Universitário da Região dos Vinhedos. Firstly, some theoretical assumptions about textual genre are presented, then, the instructional text is characterized. After that an instructional text is analyzed and, finally, some activities related to reading and writing of the mentioned genre directed to High School and University students are suggested.

  7. Text segmentation in degraded historical document images

    A.S. Kavitha

    2016-07-01

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

  8. Text mining with R a tidy approach

    Silge, Julia

    2017-01-01

    Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you'll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You'll learn how tidytext and other tidy tools in R can make text analysis easier and more effective. The authors demonstrate how treating text as data frames enables you to manipulate, summarize, and visualize characteristics of text. You'll also learn how to integrate natural language processing (NLP) into effective workflows. Practical code examples and data explorations will help you generate real insights from literature, news, and social media. Learn how to apply the tidy text format to NLP Use sentiment analysis to mine the emotional content of text Identify a document's most important terms with frequency measurements E...

  9. The nuclear modification of charged particles in Pb-Pb at $\\sqrt{\\text{s}_\\text{NN}} = \\text{5.02}\\,\\text{TeV}$ measured with ALICE

    Gronefeld, Julius

    2016-09-21

    The study of inclusive charged-particle production in heavy-ion collisions provides insights into the density of the medium and the energy-loss mechanisms. The observed suppression of high-$\\textit{p}_\\text{T}$ yield is generally attributed to energy loss of partons as they propagate through a deconfined state of quarks and gluons - Quark-Gluon Plasma (QGP) - predicted by QCD. Such measurements allow the characterization of the QGP by comparison with models. In these proceedings, results on high-$\\textit{p}_\\text{T}$ particle production measured by ALICE in Pb-Pb collisions at $ \\sqrt{\\text{s}_\\text{NN}}\\, = 5.02\\ \\rm{TeV}$ as well as well in pp at $\\sqrt{\\text{s}}\\,=5.02\\ \\rm{TeV}$ are presented for the first time. The nuclear modification factors ($\\text{R}_\\text{AA}$) in Pb-Pb collisions are presented and compared with model calculations.

  10. Distributed and Cooperative Link Scheduling for Large-Scale Multihop Wireless Networks

    Swami Ananthram

    2007-01-01

    Full Text Available A distributed and cooperative link-scheduling (DCLS algorithm is introduced for large-scale multihop wireless networks. With this algorithm, each and every active link in the network cooperatively calibrates its environment and converges to a desired link schedule for data transmissions within a time frame of multiple slots. This schedule is such that the entire network is partitioned into a set of interleaved subnetworks, where each subnetwork consists of concurrent cochannel links that are properly separated from each other. The desired spacing in each subnetwork can be controlled by a tuning parameter and the number of time slots specified for each frame. Following the DCLS algorithm, a distributed and cooperative power control (DCPC algorithm can be applied to each subnetwork to ensure a desired data rate for each link with minimum network transmission power. As shown consistently by simulations, the DCLS algorithm along with a DCPC algorithm yields significant power savings. The power savings also imply an increased feasible region of averaged link data rates for the entire network.

  11. Distributed and Cooperative Link Scheduling for Large-Scale Multihop Wireless Networks

    Ananthram Swami

    2007-12-01

    Full Text Available A distributed and cooperative link-scheduling (DCLS algorithm is introduced for large-scale multihop wireless networks. With this algorithm, each and every active link in the network cooperatively calibrates its environment and converges to a desired link schedule for data transmissions within a time frame of multiple slots. This schedule is such that the entire network is partitioned into a set of interleaved subnetworks, where each subnetwork consists of concurrent cochannel links that are properly separated from each other. The desired spacing in each subnetwork can be controlled by a tuning parameter and the number of time slots specified for each frame. Following the DCLS algorithm, a distributed and cooperative power control (DCPC algorithm can be applied to each subnetwork to ensure a desired data rate for each link with minimum network transmission power. As shown consistently by simulations, the DCLS algorithm along with a DCPC algorithm yields significant power savings. The power savings also imply an increased feasible region of averaged link data rates for the entire network.

  12. From Covert Processes to Overt Outcomes of Refutation Text Reading: The Interplay of Science Text Structure and Working Memory Capacity through Eye Fixations

    Ariasi, Nicola; Mason, Lucia

    2014-01-01

    This study extends current research on the refutation text effect by investigating it in learners with different levels of working memory capacity. The purpose is to outline the link between online processes (revealed by eye fixation indices) and off-line outcomes in these learners. In science education, unlike a standard text, a refutation text…

  13. Link til hjemmesider

    Bervild, Charlotte

    2015-01-01

    Link til læringsobjekter/undervisningsportalhttp://videoportal.ucc.dk/channel/10492641/charlotte-bervilds-undervisninghttp://videoportal.ucc.dk/video/8248508/3d-printer-v-lektor-charlotte-bervildFotoblog:http://charlottebervild.blogspot.dk/2008/10/fotocollager-af-charlotte-bervild.html......Link til læringsobjekter/undervisningsportalhttp://videoportal.ucc.dk/channel/10492641/charlotte-bervilds-undervisninghttp://videoportal.ucc.dk/video/8248508/3d-printer-v-lektor-charlotte-bervildFotoblog:http://charlottebervild.blogspot.dk/2008/10/fotocollager-af-charlotte-bervild.html...

  14. Automatic extraction of ontological relations from Arabic text

    Mohammed G.H. Al Zamil

    2014-12-01

    The proposed methodology has been designed to analyze Arabic text using lexical semantic patterns of the Arabic language according to a set of features. Next, the features have been abstracted and enriched with formal descriptions for the purpose of generalizing the resulted rules. The rules, then, have formulated a classifier that accepts Arabic text, analyzes it, and then displays related concepts labeled with its designated relationship. Moreover, to resolve the ambiguity of homonyms, a set of machine translation, text mining, and part of speech tagging algorithms have been reused. We performed extensive experiments to measure the effectiveness of our proposed tools. The results indicate that our proposed methodology is promising for automating the process of extracting ontological relations.

  15. Film clips and narrative text as subjective emotion elicitation techniques.

    Zupan, Barbra; Babbage, Duncan R

    2017-01-01

    Film clips and narrative text are useful techniques in eliciting emotion in a laboratory setting but have not been examined side-by-side using the same methodology. This study examined the self-identification of emotions elicited by film clip and narrative text stimuli to confirm that selected stimuli appropriately target the intended emotions. Seventy participants viewed 30 film clips, and 40 additional participants read 30 narrative texts. Participants identified the emotion experienced (happy, sad, angry, fearful, neutral-six stimuli each). Eighty-five percent of participants self-identified the target emotion for at least two stimuli for all emotion categories of film clips, except angry (only one) and for all categories of narrative text, except fearful (only one). The most effective angry text was correctly identified 74% of the time. Film clips were more effective in eliciting all target emotions in participants for eliciting the correct emotion (angry), intensity rating (happy, sad), or both (fearful).

  16. Finite Product of Semiring of Sets

    Coghetto Roland

    2015-06-01

    Full Text Available We formalize that the image of a semiring of sets [17] by an injective function is a semiring of sets.We offer a non-trivial example of a semiring of sets in a topological space [21]. Finally, we show that the finite product of a semiring of sets is also a semiring of sets [21] and that the finite product of a classical semiring of sets [8] is a classical semiring of sets. In this case, we use here the notation from the book of Aliprantis and Border [1].

  17. Adaptive Text Entry for Mobile Devices

    Proschowsky, Morten Smidt

    The reduced size of many mobile devices makes it difficult to enter text with them. The text entry methods are often slow or complicated to use. This affects the performance and user experience of all applications and services on the device. This work introduces new easy-to-use text entry methods...... for mobile devices and a framework for adaptive context-aware language models. Based on analysis of current text entry methods, the requirements to the new text entry methods are established. Transparent User guided Prediction (TUP) is a text entry method for devices with one dimensional touch input. It can...... be touch sensitive wheels, sliders or similar input devices. The interaction design of TUP is done with a combination of high level task models and low level models of human motor behaviour. Three prototypes of TUP are designed and evaluated by more than 30 users. Observations from the evaluations are used...

  18. Planning Multisentential English Text Using Communicative Acts

    1990-12-01

    Composition, Vol. XI in series Advances in Discourse Processing, Alex Publishing Corporation. de Joia , A. and Stenton, A. 1980. Terms in Linguistics: A Guide to...investigate how attentional constraints relate to text planning and linguistic realization. 14 SUBJECT TE1MS I I N& De OF PAGES Natural Language Generation...surface form? Page I 4. What is the relation of communicative intentions to text structure and surface form? 5. What effects can texts be designed to have

  19. Text Mining of Supreme Administrative Court Jurisdictions

    Feinerer, Ingo; Hornik, Kurt

    2007-01-01

    Within the last decade text mining, i.e., extracting sensitive information from text corpora, has become a major factor in business intelligence. The automated textual analysis of law corpora is highly valuable because of its impact on a company's legal options and the raw amount of available jurisdiction. The study of supreme court jurisdiction and international law corpora is equally important due to its effects on business sectors. In this paper we use text mining methods to investigate Au...

  20. Helically linked mirror arrangement

    Ranjan, P.

    1986-08-01

    A scheme is described for helical linking of mirror sections, which endeavors to combine the better features of toroidal and mirror devices by eliminating the longitudinal loss of mirror machines, having moderately high average β and steady state operation. This scheme is aimed at a device, with closed magnetic surfaces having rotational transform for equilibrium, one or more axisymmetric straight sections for reduced radial loss, a simple geometrical axis for the links and an overall positive magnetic well depth for stability. We start by describing several other attempts at linking of mirror sections, made both in the past and the present. Then a description of our helically linked mirror scheme is given. This example has three identical straight sections connected by three sections having helical geometric axes. A theoretical analysis of the magnetic field and single-particle orbits in them leads to the conclusion that most of the passing particles would be confined in the device and they would have orbits independent of pitch angle under certain conditions. Numerical results are presented, which agree well with the theoretical results as far as passing particle orbits are concerned

  1. Science and Technology Text Mining Basic Concepts

    Losiewicz, Paul

    2003-01-01

    ...). It then presents some of the most widely used data and text mining techniques, including clustering and classification methods, such as nearest neighbor, relational learning models, and genetic...

  2. Using Unlabeled Data to Improve Text Classification

    Nigam, Kamal P

    2001-01-01

    .... This dissertation demonstrates that supervised learning algorithms that use a small number of labeled examples and many inexpensive unlabeled examples can create high-accuracy text classifiers...

  3. SETS reference manual

    Worrell, R.B.

    1985-05-01

    The Set Equation Transformation System (SETS) is used to achieve the symbolic manipulation of Boolean equations. Symbolic manipulation involves changing equations from their original forms into more useful forms - particularly by applying Boolean identities. The SETS program is an interpreter which reads, interprets, and executes SETS user programs. The user writes a SETS user program specifying the processing to be achieved and submits it, along with the required data, for execution by SETS. Because of the general nature of SETS, i.e., the capability to manipulate Boolean equations regardless of their origin, the program has been used for many different kinds of analysis

  4. A multiresolutional approach to fuzzy text meaning: A first attempt

    Mehler, A.

    1996-12-31

    The present paper focuses on the connotative meaning aspect of language signs especially above the level of words. In this context the view is taken that texts can be defined as a kind of supersign, to which-in the same way as to other signs-a meaning can be assigned. A text can therefore be described as the result of a sign articulation which connects the material text sign with a corresponding meaning. For the constitution of the structural text meaning a kind of a semiotic composition principle is responsible, which leads to the emergence of interlocked levels of language units, demonstrating different grades of resolution. Starting on the level of words, and going through the level of sentences this principle reaches finally the level of texts by aggregating step by step the meaning of a unit on a higher level out of the meanings of all components one level below, which occur within this unit. Besides, this article will elaborate the hypothesis that the meaning constitution as a two-stage process, corresponding to the syntagmatic and paradigmatic restrictions of language elements among each other, obtains equally on the level of texts. On text level this two-levelledness leads to the constitution of the connotative text meaning, whose constituents are determined on word level by the syntagmatic and paradigmatic relations of the words. The formalization of the text meaning representation occurs with the help of fuzzy set theory.

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

    Yi, Chucai; Tian, Yingli

    2011-01-01

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

  6. Enhancing biomedical text summarization using semantic relation extraction.

    Yue Shang

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

  7. A comprehensive and quantitative comparison of text-mining in 15 million full-text articles versus their corresponding abstracts

    Westergaard, David; Stærfeldt, Hans Henrik; Tønsberg, Christian

    2018-01-01

    Across academia and industry, text mining has become a popular strategy for keeping up with the rapid growth of the scientific literature. Text mining of the scientific literature has mostly been carried out on collections of abstracts, due to their availability. Here we present an analysis of 15...... subcellular associations using a named entity recognition system, and quantitatively report on their accuracy using gold standard benchmark data sets. We subsequently compare the findings to corresponding results obtained on 16.5 million abstracts included in MEDLINE and show that text mining of full...... million English scientific full-text articles published during the period 1823-2016. We describe the development in article length and publication sub-topics during these nearly 250 years. We showcase the potential of text mining by extracting published protein-protein, disease-gene, and protein...

  8. Text comprehension strategy instruction with poor readers

    Van den Bos, K.P.; Aarnoudse, C.C.; Brand-Gruwel, S.

    1998-01-01

    The goal of this study was to investigate the effects of teaching text comprehension strategies to children with decoding and reading comprehension problems and with a poor or normal listening ability. Two experiments are reported. Four text comprehension strategies, viz., question generation,

  9. Text Manipulation Techniques and Foreign Language Composition.

    Walker, Ronald W.

    1982-01-01

    Discusses an approach to teaching second language composition which emphasizes (1) careful analysis of model texts from a limited, but well-defined perspective and (2) the application of text manipulation techniques developed by the word processing industry to student compositions. (EKN)

  10. Teachers' Texts in Culturally Responsive Teaching

    Kesler, Ted

    2011-01-01

    In this paper, the author shares three teaching stories that demonstrate the social, cultural, political, and historical factors of all texts in specific interpretive communities. The author shows how the texts that comprised his curriculum constructed particular subject positions that inevitably included some students but marginalized and…

  11. Readability Revisited? The Implications of Text Complexity

    Wray, David; Janan, Dahlia

    2013-01-01

    The concept of readability has had a variable history, moving from a position where it was considered as a very important topic for those responsible for producing texts and matching those texts to the abilities and needs of learners, to its current declining visibility in the education literature. Some important work has been coming from the USA…

  12. Tipster Text Phase 2 Architecture Design

    1996-06-19

    TIPSTER Text Phase II Architecture Design Version 2.1p 19 June 1996 Ralph Grishman New York University grishman @cs.nyu.edu and the TIPSTER...1996 2. REPORT TYPE 3. DATES COVERED 00-00-1996 to 00-00-1996 4. TITLE AND SUBTITLE TIPSTER Text Phase II Architecture Design 5a. CONTRACT

  13. Using Digital Texts to Promote Fluent Reading

    Thoermer, Andrea; Williams, Lunetta

    2012-01-01

    Fluency is a critical skill of adept readers. As listening to read alouds and performing Readers Theatre scripts are two prevalent strategies that can increase students' fluency skills, this article provides suggestions in using these strategies with digital texts through free, online resources. Digital texts can be accessed using a desktop,…

  14. Interest, Inferences, and Learning from Texts

    Clinton, Virginia; van den Broek, Paul

    2012-01-01

    Topic interest and learning from texts have been found to be positively associated with each other. However, the reason for this positive association is not well understood. The purpose of this study is to examine a cognitive process, inference generation, that could explain the positive association between interest and learning from texts. In…

  15. Text Fabric: What, How, and Why

    Erwich, C.M.; Kingham, Cody

    Text-Fabric (TF) is a promising new framework for the Eep Talstra Center for Bible and Computer corpus plus (linguistic) annotations. TF is a Python 3.x software package that provides scientific, accessible and reproducible ways of processing Biblical Hebrew text data. It also allows sharing the

  16. Flexible frontiers for text division into rows

    Dan L. Lacrămă

    2009-01-01

    Full Text Available This paper presents an original solution for flexible hand-written text division into rows. Unlike the standard procedure, the proposed method avoids the isolated characters extensions amputation and reduces the recognition error rate in the final stage.

  17. Lexical Information in Memory for Text.

    Hayes-Roth, Barbara

    Cued-recall and two-alternative, forced-choice recognition measures were used to evaluate subjects' retention of the specific wordings of studied texts. Results obtained after 10-minute and 24 hour retention intervals suggest that the studied wordings of texts are functional components of their memory representations. Theories that assume…

  18. Undergraduates' Text Messaging Language and Literacy Skills

    Grace, Abbie; Kemp, Nenagh; Martin, Frances Heritage; Parrila, Rauno

    2014-01-01

    Research investigating whether people's literacy skill is being affected by the use of text messaging language has produced largely positive results for children, but mixed results for adults. We asked 150 undergraduate university students in Western Canada and 86 in South Eastern Australia to supply naturalistic text messages and to complete…

  19. Language Skills in Classical Chinese Text Comprehension

    Lau, Kit-ling

    2018-01-01

    This study used both quantitative and qualitative methods to explore the role of lower- and higher-level language skills in classical Chinese (CC) text comprehension. A CC word and sentence translation test, text comprehension test, and questionnaire were administered to 393 Secondary Four students; and 12 of these were randomly selected to…

  20. Text Structure and Retention of Prose.

    Zimmer, John W.

    1985-01-01

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