A Full-Text-Based Search Engine for Finding Highly Matched Documents Across Multiple Categories

Science.gov (United States)

Nguyen, Hung D.; Steele, Gynelle C.

2016-01-01

This report demonstrates the full-text-based search engine that works on any Web-based mobile application. The engine has the capability to search databases across multiple categories based on a user's queries and identify the most relevant or similar. The search results presented here were found using an Android (Google Co.) mobile device; however, it is also compatible with other mobile phones.

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

Directory of Open Access Journals (Sweden)

Arif Mehmood

2017-01-01

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

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

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

2012-05-28

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

48 CFR 2852.102-270 - Incorporation in full text.

Science.gov (United States)

2010-10-01

... 48 Federal Acquisition Regulations System 6 2010-10-01 2010-10-01 true Incorporation in full text... 2852.102-270 Incorporation in full text. JAR provisions or clauses shall be incorporated in solicitations and contracts in full text. ...

48 CFR 1952.102-2 - Incorporation in full text.

Science.gov (United States)

2010-10-01

... 48 Federal Acquisition Regulations System 6 2010-10-01 2010-10-01 true Incorporation in full text... Clauses 1952.102-2 Incorporation in full text. All IAAR provisions and clauses shall be incorporated in solicitations and/or contracts in full text. ...

Understanding disciplinary vocabularies using a full-text enabled domain-independent term extraction approach.

Science.gov (United States)

Yan, Erjia; Williams, Jake; Chen, Zheng

2017-01-01

Publication metadata help deliver rich analyses of scholarly communication. However, research concepts and ideas are more effectively expressed through unstructured fields such as full texts. Thus, the goals of this paper are to employ a full-text enabled method to extract terms relevant to disciplinary vocabularies, and through them, to understand the relationships between disciplines. This paper uses an efficient, domain-independent term extraction method to extract disciplinary vocabularies from a large multidisciplinary corpus of PLoS ONE publications. It finds a power-law pattern in the frequency distributions of terms present in each discipline, indicating a semantic richness potentially sufficient for further study and advanced analysis. The salient relationships amongst these vocabularies become apparent in application of a principal component analysis. For example, Mathematics and Computer and Information Sciences were found to have similar vocabulary use patterns along with Engineering and Physics; while Chemistry and the Social Sciences were found to exhibit contrasting vocabulary use patterns along with the Earth Sciences and Chemistry. These results have implications to studies of scholarly communication as scholars attempt to identify the epistemological cultures of disciplines, and as a full text-based methodology could lead to machine learning applications in the automated classification of scholarly work according to disciplinary vocabularies.

Selecting Full-Text Undergraduate Periodicals Databases.

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Still, Julie M.; Kassabian, Vibiana

1999-01-01

Examines how libraries and librarians can compare full-text general periodical indices, using ProQuest Direct, Periodical Abstracts (via Ovid), and EBSCOhost as examples. Explores breadth and depth of coverage; manipulation of results (email/download/print); ease of use (searching); and indexing quirks. (AEF)

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

Science.gov (United States)

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

2018-03-01

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

Full-text publication of abstract-presented work in physical therapy: do therapists publish what they preach?

Science.gov (United States)

Smith, Heather D; Bogenschutz, Elizabeth D; Bayliss, Amy J; Altenburger, Peter A; Warden, Stuart J

2011-02-01

Professional meetings, such as the American Physical Therapy Association's (APTA's) Combined Sections Meeting (CSM), provide forums for sharing information relevant to physical therapy. An indicator of whether therapists fully disseminate their work is the number of full-text peer-reviewed publications that result. The purposes of this study were: (1) to determine the full-text publication rate of work presented in abstract form at CSM and (2) to investigate factors influencing this rate. A systematic search was undertaken to locate full-text publications of work presented in abstract form within the Orthopaedic and Sports Physical Therapy sections at CSM between 2000 and 2004. Eligible publications were published within 5 years following abstract presentation. The influences of APTA section, year of abstract presentation, institution of origin, study design, sample size, study significance, reporting of a funding source, and presentation type on full-text publication rate were assessed. Characteristics of full-text publications were explored. Work presented in 1 out of 4 abstracts (25.4%) progressed to full-text publication. Odds of full-text publication increased if the abstract originated from a doctorate-granting or "other" institution, reported findings of an experimental study, reported a statistically significant finding, included a larger sample size, disclosed a funding source, or was presented as a platform presentation. More than one third (37.8%) of full-text publications were published in the Journal of Orthopaedic and Sports Physical Therapy or Physical Therapy, and 4 out of 10 full-text publications (39.2%) contained at least one major change from information presented in abstract form. The full-text publication rate for information presented in abstract form within the Orthopaedic and Sports Physical Therapy sections at CSM is low relative to comparative disciplines. Caution should be exercised when translating information presented at CSM into

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

Science.gov (United States)

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

2012-07-23

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

BC4GO: a full-text corpus for the BioCreative IV GO task.

Science.gov (United States)

Van Auken, Kimberly; Schaeffer, Mary L; McQuilton, Peter; Laulederkind, Stanley J F; Li, Donghui; Wang, Shur-Jen; Hayman, G Thomas; Tweedie, Susan; Arighi, Cecilia N; Done, James; Müller, Hans-Michael; Sternberg, Paul W; Mao, Yuqing; Wei, Chih-Hsuan; Lu, Zhiyong

2014-01-01

Gene function curation via Gene Ontology (GO) annotation is a common task among Model Organism Database groups. Owing to its manual nature, this task is considered one of the bottlenecks in literature curation. There have been many previous attempts at automatic identification of GO terms and supporting information from full text. However, few systems have delivered an accuracy that is comparable with humans. One recognized challenge in developing such systems is the lack of marked sentence-level evidence text that provides the basis for making GO annotations. We aim to create a corpus that includes the GO evidence text along with the three core elements of GO annotations: (i) a gene or gene product, (ii) a GO term and (iii) a GO evidence code. To ensure our results are consistent with real-life GO data, we recruited eight professional GO curators and asked them to follow their routine GO annotation protocols. Our annotators marked up more than 5000 text passages in 200 articles for 1356 distinct GO terms. For evidence sentence selection, the inter-annotator agreement (IAA) results are 9.3% (strict) and 42.7% (relaxed) in F1-measures. For GO term selection, the IAAs are 47% (strict) and 62.9% (hierarchical). Our corpus analysis further shows that abstracts contain ∼ 10% of relevant evidence sentences and 30% distinct GO terms, while the Results/Experiment section has nearly 60% relevant sentences and >70% GO terms. Further, of those evidence sentences found in abstracts, less than one-third contain enough experimental detail to fulfill the three core criteria of a GO annotation. This result demonstrates the need of using full-text articles for text mining GO annotations. Through its use at the BioCreative IV GO (BC4GO) task, we expect our corpus to become a valuable resource for the BioNLP research community. Database URL: http://www.biocreative.org/resources/corpora/bc-iv-go-task-corpus/. Published by Oxford University Press 2014. This work is written by US

MeSH: a window into full text for document summarization.

Science.gov (United States)

Bhattacharya, Sanmitra; Ha-Thuc, Viet; Srinivasan, Padmini

2011-07-01

Previous research in the biomedical text-mining domain has historically been limited to titles, abstracts and metadata available in MEDLINE records. Recent research initiatives such as TREC Genomics and BioCreAtIvE strongly point to the merits of moving beyond abstracts and into the realm of full texts. Full texts are, however, more expensive to process not only in terms of resources needed but also in terms of accuracy. Since full texts contain embellishments that elaborate, contextualize, contrast, supplement, etc., there is greater risk for false positives. Motivated by this, we explore an approach that offers a compromise between the extremes of abstracts and full texts. Specifically, we create reduced versions of full text documents that contain only important portions. In the long-term, our goal is to explore the use of such summaries for functions such as document retrieval and information extraction. Here, we focus on designing summarization strategies. In particular, we explore the use of MeSH terms, manually assigned to documents by trained annotators, as clues to select important text segments from the full text documents. Our experiments confirm the ability of our approach to pick the important text portions. Using the ROUGE measures for evaluation, we were able to achieve maximum ROUGE-1, ROUGE-2 and ROUGE-SU4 F-scores of 0.4150, 0.1435 and 0.1782, respectively, for our MeSH term-based method versus the maximum baseline scores of 0.3815, 0.1353 and 0.1428, respectively. Using a MeSH profile-based strategy, we were able to achieve maximum ROUGE F-scores of 0.4320, 0.1497 and 0.1887, respectively. Human evaluation of the baselines and our proposed strategies further corroborates the ability of our method to select important sentences from the full texts. sanmitra-bhattacharya@uiowa.edu; padmini-srinivasan@uiowa.edu.

Full Text Psychology Journals Available from Popular Library Databases

Science.gov (United States)

Joswick, Kathleen E.

2006-01-01

The author identified 433 core journals in psychology and investigated their full text availability in popular databases. While 62 percent of the studied journals were available in at least one database, access from individual databases ranged from 1.4 percent to 38.1 percent of the titles. The full text of influential psychology journals is not…

Extractive text summarization system to aid data extraction from full text in systematic review development.

Science.gov (United States)

Bui, Duy Duc An; Del Fiol, Guilherme; Hurdle, John F; Jonnalagadda, Siddhartha

2016-12-01

Extracting data from publication reports is a standard process in systematic review (SR) development. However, the data extraction process still relies too much on manual effort which is slow, costly, and subject to human error. In this study, we developed a text summarization system aimed at enhancing productivity and reducing errors in the traditional data extraction process. We developed a computer system that used machine learning and natural language processing approaches to automatically generate summaries of full-text scientific publications. The summaries at the sentence and fragment levels were evaluated in finding common clinical SR data elements such as sample size, group size, and PICO values. We compared the computer-generated summaries with human written summaries (title and abstract) in terms of the presence of necessary information for the data extraction as presented in the Cochrane review's study characteristics tables. At the sentence level, the computer-generated summaries covered more information than humans do for systematic reviews (recall 91.2% vs. 83.8%, p<0.001). They also had a better density of relevant sentences (precision 59% vs. 39%, p<0.001). At the fragment level, the ensemble approach combining rule-based, concept mapping, and dictionary-based methods performed better than individual methods alone, achieving an 84.7% F-measure. Computer-generated summaries are potential alternative information sources for data extraction in systematic review development. Machine learning and natural language processing are promising approaches to the development of such an extractive summarization system. Copyright © 2016 Elsevier Inc. All rights reserved.

Impact of Metadata on Full-text Information Retrieval Performance: An Experimental Research on a Small Scale Turkish Corpus

Directory of Open Access Journals (Sweden)

Çağdaş Çapkın

2016-12-01

Full Text Available Information institutions use text-based information retrieval systems to store, index and retrieve metadata, full-text, or both metadata and full-text (hybrid contents. The aim of this research was to evaluate impact of these contents on information retrieval performance. For this purpose, metadata (MIR, full-text (FIR and hybrid (HIR content information retrieval systems were developed with default Lucene information retrieval model for a small scale Turkish corpus. In order to evaluate performance of this three systems, “precision - recall” and “normalized recall” tests were conducted. Experimental findings showed that there were no significant differences between MIR and FIR in mean average precision (MAP performance. On the other hand, MAP performance of HIR was significantly higher in comparison to MIR and FIR. When information retrieval performance was evaluated as user-centered, the “normalized recall” performances of MIR and HIR were significantly higher than FIR. Additionally, there were no significant differences between the systems in retrieved relevant document means. Processing different types of contents such as metadata and full-text had some advantages and disadvantages for information retrieval systems in terms of term management. The advantages brought together in hybrid content processing (HIR and information retrieval performance improved.

"Free full text articles": where to search for them?

Science.gov (United States)

Singh, Ashish; Singh, Manish; Singh, Ajai Kumar; Singh, Deepti; Singh, Pratibha; Sharma, Abhishek

2011-07-01

References form the backbone of any medical literature. Presently, because of high inflation, it is very difficult for any library/organization/college to purchase all journals. The condition is even worse for an individual person, such as private practitioners. The solution lies in the free availability of full-text articles. Here, the authors share their experiences about the accessibility of free full-text articles.

Full text and figure display improves bioscience literature search.

Directory of Open Access Journals (Sweden)

Anna Divoli

Full Text Available When reading bioscience journal articles, many researchers focus attention on the figures and their captions. This observation led to the development of the BioText literature search engine, a freely available Web-based application that allows biologists to search over the contents of Open Access Journals, and see figures from the articles displayed directly in the search results. This article presents a qualitative assessment of this system in the form of a usability study with 20 biologist participants using and commenting on the system. 19 out of 20 participants expressed a desire to use a bioscience literature search engine that displays articles' figures alongside the full text search results. 15 out of 20 participants said they would use a caption search and figure display interface either frequently or sometimes, while 4 said rarely and 1 said undecided. 10 out of 20 participants said they would use a tool for searching the text of tables and their captions either frequently or sometimes, while 7 said they would use it rarely if at all, 2 said they would never use it, and 1 was undecided. This study found evidence, supporting results of an earlier study, that bioscience literature search systems such as PubMed should show figures from articles alongside search results. It also found evidence that full text and captions should be searched along with the article title, metadata, and abstract. Finally, for a subset of users and information needs, allowing for explicit search within captions for figures and tables is a useful function, but it is not entirely clear how to cleanly integrate this within a more general literature search interface. Such a facility supports Open Access publishing efforts, as it requires access to full text of documents and the lifting of restrictions in order to show figures in the search interface.

[Exploration and construction of the full-text database of acupuncture literature in the Republic of China].

Science.gov (United States)

Fei, Lin; Zhao, Jing; Leng, Jiahao; Zhang, Shujian

2017-10-12

The ALIPORC full-text database is targeted at a specific full-text database of acupuncture literature in the Republic of China. Starting in 2015, till now, the database has been getting completed, focusing on books relevant with acupuncture, articles and advertising documents, accomplished or published in the Republic of China. The construction of this database aims to achieve the source sharing of acupuncture medical literature in the Republic of China through the retrieval approaches to diversity and accurate content presentation, contributes to the exchange of scholars, reduces the paper damage caused by paging and simplify the retrieval of the rare literature. The writers have made the explanation of the database in light of sources, characteristics and current situation of construction; and have discussed on improving the efficiency and integrity of the database and deepening the development of acupuncture literature in the Republic of China.

Database citation in full text biomedical articles.

Science.gov (United States)

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.

Searching for Bill and Jane: Electronic Full-Text Literature.

Science.gov (United States)

Still, Julie; Kassabian, Vibiana

1998-01-01

Examines electronic full-text literature available on the World Wide Web and on CD-ROM. Discusses authors and genres, electronic texts, and fees. Highlights Shakespeare, Jane Austen, and nature writing. Provides a bibliography of Web guides, specialized Shakespeare pages, and pages dealing with the Shakespeare authorship debate and secondary…

Full-text publication of abstract-presented work in sport and exercise psychology.

Science.gov (United States)

Shue, Sarah; Warden, Stuart

2018-01-01

Meetings promote information sharing, but do not enable full dissemination of details. A systematic search was conducted for abstracts presented at the 2010 and 2011 Association of Applied Sport Psychology Annual Conferences to determine the full-text dissemination rate of work presented in abstract form and investigate factors influencing this rate. Systematic searches were sequentially conducted to determine whether the abstract-presented work had been published in full-text format in the 5 years following presentation. If a potential full-text publication was identified, information from the conference abstract (eg, results, number of participants in the sample(s), measurement tools used and so on) was compared with the full text to ensure the two entities represented the same body of work. Abstract factors of interest were assessed using logistic regression. Ninety-four out of 423 presented abstracts (22.2%) were published in full text. Odds of full-text publication increased if the abstract was from an international institution, presented in certain conference sections or presented as a lecture. Those attending professional conferences should be cautious when translating data presented at conferences into their applied work because of the low rate of peer-reviewed and full-text publication of the information.

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

Science.gov (United States)

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.

Full text and figure display improves bioscience literature search.

Science.gov (United States)

Divoli, Anna; Wooldridge, Michael A; Hearst, Marti A

2010-04-14

When reading bioscience journal articles, many researchers focus attention on the figures and their captions. This observation led to the development of the BioText literature search engine, a freely available Web-based application that allows biologists to search over the contents of Open Access Journals, and see figures from the articles displayed directly in the search results. This article presents a qualitative assessment of this system in the form of a usability study with 20 biologist participants using and commenting on the system. 19 out of 20 participants expressed a desire to use a bioscience literature search engine that displays articles' figures alongside the full text search results. 15 out of 20 participants said they would use a caption search and figure display interface either frequently or sometimes, while 4 said rarely and 1 said undecided. 10 out of 20 participants said they would use a tool for searching the text of tables and their captions either frequently or sometimes, while 7 said they would use it rarely if at all, 2 said they would never use it, and 1 was undecided. This study found evidence, supporting results of an earlier study, that bioscience literature search systems such as PubMed should show figures from articles alongside search results. It also found evidence that full text and captions should be searched along with the article title, metadata, and abstract. Finally, for a subset of users and information needs, allowing for explicit search within captions for figures and tables is a useful function, but it is not entirely clear how to cleanly integrate this within a more general literature search interface. Such a facility supports Open Access publishing efforts, as it requires access to full text of documents and the lifting of restrictions in order to show figures in the search interface.

Investigating and Annotating the Role of Citation in Biomedical Full-Text Articles.

Science.gov (United States)

Yu, Hong; Agarwal, Shashank; Frid, Nadya

2009-11-01

Citations are ubiquitous in scientific articles and play important roles for representing the semantic content of a full-text biomedical article. In this work, we manually examined full-text biomedical articles to analyze the semantic content of citations in full-text biomedical articles. After developing a citation relation schema and annotation guideline, our pilot annotation results show an overall agreement of 0.71, and here we report on the research challenges and the lessons we've learned while trying to overcome them. Our work is a first step toward automatic citation classification in full-text biomedical articles, which may contribute to many text mining tasks, including information retrieval, extraction, summarization, and question answering.

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

Science.gov (United States)

Balakrishnan, Vimala; Mehmood, Yasir; Nagappan, Yoganathan

2016-01-01

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

An exploratory analysis of PubMed's free full-text limit on citation retrieval for clinical questions.

Science.gov (United States)

Krieger, Mary M; Richter, Randy R; Austin, Tricia M

2008-10-01

The research sought to determine (1) how use of the PubMed free full-text (FFT) limit affects citation retrieval and (2) how use of the FFT limit impacts the types of articles and levels of evidence retrieved. Four clinical questions based on a research agenda for physical therapy were searched in PubMed both with and without the use of the FFT limit. Retrieved citations were examined for relevancy to each question. Abstracts of relevant citations were reviewed to determine the types of articles and levels of evidence. Descriptive analysis was used to compare the total number of citations, number of relevant citations, types of articles, and levels of evidence both with and without the use of the FFT limit. Across all 4 questions, the FFT limit reduced the number of citations to 11.1% of the total number of citations retrieved without the FFT limit. Additionally, high-quality evidence such as systematic reviews and randomized controlled trials were missed when the FFT limit was used. Health sciences librarians play a key role in educating users about the potential impact the FFT limit has on the number of citations, types of articles, and levels of evidence retrieved.

Multilingual access to full text databases; Acces multilingue aux bases de donnees en texte integral

Energy Technology Data Exchange (ETDEWEB)

Fluhr, C; Radwan, K [Institut National des Sciences et Techniques Nucleaires (INSTN), Centre d` Etudes de Saclay, 91 - Gif-sur-Yvette (France)

1990-05-01

Many full text databases are available in only one language, or more, they may contain documents in different languages. Even if the user is able to understand the language of the documents in the database, it could be easier for him to express his need in his own language. For the case of databases containing documents in different languages, it is more simple to formulate the query in one language only and to retrieve documents in different languages. This paper present the developments and the first experiments of multilingual search, applied to french-english pair, for text data in nuclear field, based on the system SPIRIT. After reminding the general problems of full text databases search by queries formulated in natural language, we present the methods used to reformulate the queries and show how they can be expanded for multilingual search. The first results on data in nuclear field are presented (AFCEN norms and INIS abstracts). 4 refs.

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

Science.gov (United States)

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…

SERVICES OF FULL-TEXT SEARCHING IN A DISTRIBUTED INFORMATION ENVIRONMENT (PROJECT HUMANITARIANA

Directory of Open Access Journals (Sweden)

S. K. Lyapin

2015-01-01

Full Text Available Problem statement. We justify the possibility of full-text search services application in both universal and specialized (in terms of resource base digital libraries for the extraction and analysis of the context knowledge in the humanities. The architecture and services of virtual information and resource center for extracting knowledge from the humanitarian texts generated by «Humanitariana» project are described. The functional integration of the resources and services for a full-text search in a distributed decentralized environment, organized in the Internet / Intranet architecture under the control of the client (user browser accessing a variety of independent servers. An algorithm for a distributed full-text query implementation is described. Methods. Method of combining requency-ranked and paragraph-oriented full-text queries is used: the first are used for the preliminary analysis of the subject area or a combination product (explication of "vertical" context, or macro context, the second - for the explication of "horizontal" context, or micro context within copyright paragraph. The results of the frequency-ranked queries are used to compile paragraph-oriented queries. Results. The results of textual research are shown on the topics "The question of fact in Russian philosophy", "The question of loneliness in Russian philosophy and culture". About 50 pieces of context knowledge on the total resource base of about 2,500 full-text resources have been explicated and briefly described to their further expert investigating. Practical significance. The proposed technology (advanced full-text searching services in a distributed information environment can be used for the information support of humanitarian studies and education in the humanities, for functional integration of resources and services of various organizations, for carrying out interdisciplinary research.

Managing nuclear knowledge: IAEA activities and international coordination. Including resource material full text CD-ROM

International Nuclear Information System (INIS)

2005-06-01

The present CD-ROM summarizes some activities carried out by the Departments of Nuclear Energy and Nuclear Safety and Security in the area of nuclear knowledge management in the period 2003-2005. It comprises, as open resource, most of the relevant documents in full text, including policy level documents, reports, presentation material by Member States and meeting summaries. The collection starts with a reprint of the report to the IAEA General Conference 2004 on Nuclear Knowledge [GOV/2004/56-GC(48)/12] summarizing the developments in nuclear knowledge management since the 47th session of the General Conference in 2003 and covers Managing Nuclear Knowledge including safety issues and Information and Strengthening Education and Training for Capacity Building. It contains an excerpt on Nuclear Knowledge from the General Conference Resolution [GC(48)/RES/13] on Strengthening the Agency's Activities Related to Nuclear Science, Technology and Applications. On the CD-ROM itself, all documents can easily be accessed by clicking on their titles on the subject pages (also printed at the end of this Working Material). Part 1 of the CD-ROM covers the activities in the period 2003-2005 and part 2 presents a resource material full text CD-ROM on Managing Nuclear Knowledge issued in October 2003

FTP: Full-Text Publishing?

Science.gov (United States)

Jul, Erik

1992-01-01

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

The Flip Sides of Full-Text: Superindex and the Harvard Business Review/Online.

Science.gov (United States)

Dadlez, Eva M.

1984-01-01

This article illustrates similarities between two different types of full-text databases--Superindex, Harvard Business Review/Online--and uses them as arena to demonstrate search and display applications of full-text. The selection of logical operators, full-text search strategies, and keywords and Bibliographic Retrieval Service's Occurrence…

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

Science.gov (United States)

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.

SSRF-PDM and its full-text retrieval improvement

International Nuclear Information System (INIS)

Tong Xingfan; Deng Huiyu; Li Zhiming

2011-01-01

Project and data management is essential for Shanghai Synchrotron Radiation Facility (SSRF) which is a huge scientific platform for science research and technology development in China. With Product Data Management (PDM) system, SSRF improves its information service greatly. In this paper, we introduce the network structure, configuration modules and client terminals of the PDM system and the improvement in full-text retrieval subsystem, including its algorithms and details of implement in order to optimize the retrieval system.(authors)

Subject Retrieval from Full-Text Databases in the Humanities

Science.gov (United States)

East, John W.

2007-01-01

This paper examines the problems involved in subject retrieval from full-text databases of secondary materials in the humanities. Ten such databases were studied and their search functionality evaluated, focusing on factors such as Boolean operators, document surrogates, limiting by subject area, proximity operators, phrase searching, wildcards,…

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

Science.gov (United States)

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

Searching Harvard Business Review Online. . . Lessons in Searching a Full Text Database.

Science.gov (United States)

Tenopir, Carol

1985-01-01

This article examines the Harvard Business Review Online (HBRO) database (bibliographic description fields, abstracts, extracted information, full text, subject descriptors) and reports on 31 sample HBRO searches conducted in Bibliographic Retrieval Services to test differences between searching full text and searching bibliographic record. Sample…

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

DEFF Research Database (Denmark)

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...

Full-text publication of abstracts presented at European Orthodontic Society congresses

NARCIS (Netherlands)

Livas, Christos; Pandis, Nikolaos; Ren, Yijin

2014-01-01

INTRODUCTION: Empirical evidence has indicated that only a subsample of studies conducted reach full-text publication and this phenomenon has become known as publication bias. A form of publication bias is the selectively delayed full publication of conference abstracts. The objective of this

FULIR Full-text Institutional Repository of the Ruđer Bošković Institute

Directory of Open Access Journals (Sweden)

Macan, B.

2014-11-01

administration is conducted by the librarians, who also provide a helpdesk service for scientists with depositing and copyright issues. On the depositing side of the repository, FULIR has implemented plugins for automatic checking of copyright issues for archiving articles published in journals by automatic searching of SHERPA/RoMEO database and displaying relevant information to users. There is also the possibility of importing records from other databases, such as arXive or PubMED through items ID’s. There are various search and browse possibilities available in FULIR for users, whereof a full-text search is worth mentioning. Statistical plugin (IRStats2 – Beta – version 0.0.4 is also implemented, as well as altmetric plugin (Altmetric – version 1.0.5. FULIR is fully compatible with OpenAIRE infrastructure and as such is the first OA repository in Croatia enabling RBI scientists to satisfy the conditions of European Commission for archiving full-texts of published papers financed under the Horizon 2020 program in OpenAIRE compatible OAR. Future plans for FULIR are related with further work on interoperability issues with the Croatian Scientific Bibliography – CROSBI, to enable pushing and pulling records from one system to another. There is also the need to educate the scientists about the advantages of OA and the importance of archiving full- text documents into institutional repositories, as well as educating them about copyright issues. Helping other Croatian institutions in implementing their own OAR, possibly through centralized infrastructure on the national level is also one of forthcoming activities where experience gathered with FULIR will be of the utmost importance.

Facilitating Full-text Access to Biomedical Literature Using Open Access Resources.

Science.gov (United States)

Kang, Hongyu; Hou, Zhen; Li, Jiao

2015-01-01

Open access (OA) resources and local libraries often have their own literature databases, especially in the field of biomedicine. We have developed a method of linking a local library to a biomedical OA resource facilitating researchers' full-text article access. The method uses a model based on vector space to measure similarities between two articles in local library and OA resources. The method achieved an F-score of 99.61%. This method of article linkage and mapping between local library and OA resources is available for use. Through this work, we have improved the full-text access of the biomedical OA resources.

Evaluating Open-Source Full-Text Search Engines for Matching ICD-10 Codes.

Science.gov (United States)

Jurcău, Daniel-Alexandru; Stoicu-Tivadar, Vasile

2016-01-01

This research presents the results of evaluating multiple free, open-source engines on matching ICD-10 diagnostic codes via full-text searches. The study investigates what it takes to get an accurate match when searching for a specific diagnostic code. For each code the evaluation starts by extracting the words that make up its text and continues with building full-text search queries from the combinations of these words. The queries are then run against all the ICD-10 codes until a match indicates the code in question as a match with the highest relative score. This method identifies the minimum number of words that must be provided in order for the search engines choose the desired entry. The engines analyzed include a popular Java-based full-text search engine, a lightweight engine written in JavaScript which can even execute on the user's browser, and two popular open-source relational database management systems.

UKPMC: a full text article resource for the life sciences.

Science.gov (United States)

McEntyre, Johanna R; Ananiadou, Sophia; Andrews, Stephen; Black, William J; Boulderstone, Richard; Buttery, Paula; Chaplin, David; Chevuru, Sandeepreddy; Cobley, Norman; Coleman, Lee-Ann; Davey, Paul; Gupta, Bharti; Haji-Gholam, Lesley; Hawkins, Craig; Horne, Alan; Hubbard, Simon J; Kim, Jee-Hyub; Lewin, Ian; Lyte, Vic; MacIntyre, Ross; Mansoor, Sami; Mason, Linda; McNaught, John; Newbold, Elizabeth; Nobata, Chikashi; Ong, Ernest; Pillai, Sharmila; Rebholz-Schuhmann, Dietrich; Rosie, Heather; Rowbotham, Rob; Rupp, C J; Stoehr, Peter; Vaughan, Philip

2011-01-01

UK PubMed Central (UKPMC) is a full-text article database that extends the functionality of the original PubMed Central (PMC) repository. The UKPMC project was launched as the first 'mirror' site to PMC, which in analogy to the International Nucleotide Sequence Database Collaboration, aims to provide international preservation of the open and free-access biomedical literature. UKPMC (http://ukpmc.ac.uk) has undergone considerable development since its inception in 2007 and now includes both a UKPMC and PubMed search, as well as access to other records such as Agricola, Patents and recent biomedical theses. UKPMC also differs from PubMed/PMC in that the full text and abstract information can be searched in an integrated manner from one input box. Furthermore, UKPMC contains 'Cited By' information as an alternative way to navigate the literature and has incorporated text-mining approaches to semantically enrich content and integrate it with related database resources. Finally, UKPMC also offers added-value services (UKPMC+) that enable grantees to deposit manuscripts, link papers to grants, publish online portfolios and view citation information on their papers. Here we describe UKPMC and clarify the relationship between PMC and UKPMC, providing historical context and future directions, 10 years on from when PMC was first launched.

tagtog: interactive and text-mining-assisted annotation of gene mentions in PLOS full-text articles.

Science.gov (United States)

Cejuela, Juan Miguel; McQuilton, Peter; Ponting, Laura; Marygold, Steven J; Stefancsik, Raymund; Millburn, Gillian H; Rost, Burkhard

2014-01-01

The breadth and depth of biomedical literature are increasing year upon year. To keep abreast of these increases, FlyBase, a database for Drosophila genomic and genetic information, is constantly exploring new ways to mine the published literature to increase the efficiency and accuracy of manual curation and to automate some aspects, such as triaging and entity extraction. Toward this end, we present the 'tagtog' system, a web-based annotation framework that can be used to mark up biological entities (such as genes) and concepts (such as Gene Ontology terms) in full-text articles. tagtog leverages manual user annotation in combination with automatic machine-learned annotation to provide accurate identification of gene symbols and gene names. As part of the BioCreative IV Interactive Annotation Task, FlyBase has used tagtog to identify and extract mentions of Drosophila melanogaster gene symbols and names in full-text biomedical articles from the PLOS stable of journals. We show here the results of three experiments with different sized corpora and assess gene recognition performance and curation speed. We conclude that tagtog-named entity recognition improves with a larger corpus and that tagtog-assisted curation is quicker than manual curation. DATABASE URL: www.tagtog.net, www.flybase.org.

Building a protein name dictionary from full text: a machine learning term extraction approach

Directory of Open Access Journals (Sweden)

Campagne Fabien

2005-04-01

Full Text Available Abstract Background The majority of information in the biological literature resides in full text articles, instead of abstracts. Yet, abstracts remain the focus of many publicly available literature data mining tools. Most literature mining tools rely on pre-existing lexicons of biological names, often extracted from curated gene or protein databases. This is a limitation, because such databases have low coverage of the many name variants which are used to refer to biological entities in the literature. Results We present an approach to recognize named entities in full text. The approach collects high frequency terms in an article, and uses support vector machines (SVM to identify biological entity names. It is also computationally efficient and robust to noise commonly found in full text material. We use the method to create a protein name dictionary from a set of 80,528 full text articles. Only 8.3% of the names in this dictionary match SwissProt description lines. We assess the quality of the dictionary by studying its protein name recognition performance in full text. Conclusion This dictionary term lookup method compares favourably to other published methods, supporting the significance of our direct extraction approach. The method is strong in recognizing name variants not found in SwissProt.

Full text clustering and relationship network analysis of biomedical publications.

Directory of Open Access Journals (Sweden)

Renchu Guan

Full Text Available Rapid developments in the biomedical sciences have increased the demand for automatic clustering of biomedical publications. In contrast to current approaches to text clustering, which focus exclusively on the contents of abstracts, a novel method is proposed for clustering and analysis of complete biomedical article texts. To reduce dimensionality, Cosine Coefficient is used on a sub-space of only two vectors, instead of computing the Euclidean distance within the space of all vectors. Then a strategy and algorithm is introduced for Semi-supervised Affinity Propagation (SSAP to improve analysis efficiency, using biomedical journal names as an evaluation background. Experimental results show that by avoiding high-dimensional sparse matrix computations, SSAP outperforms conventional k-means methods and improves upon the standard Affinity Propagation algorithm. In constructing a directed relationship network and distribution matrix for the clustering results, it can be noted that overlaps in scope and interests among BioMed publications can be easily identified, providing a valuable analytical tool for editors, authors and readers.

Automatically classifying sentences in full-text biomedical articles into Introduction, Methods, Results and Discussion.

Science.gov (United States)

Agarwal, Shashank; Yu, Hong

2009-12-01

Biomedical texts can be typically represented by four rhetorical categories: Introduction, Methods, Results and Discussion (IMRAD). Classifying sentences into these categories can benefit many other text-mining tasks. Although many studies have applied different approaches for automatically classifying sentences in MEDLINE abstracts into the IMRAD categories, few have explored the classification of sentences that appear in full-text biomedical articles. We first evaluated whether sentences in full-text biomedical articles could be reliably annotated into the IMRAD format and then explored different approaches for automatically classifying these sentences into the IMRAD categories. Our results show an overall annotation agreement of 82.14% with a Kappa score of 0.756. The best classification system is a multinomial naïve Bayes classifier trained on manually annotated data that achieved 91.95% accuracy and an average F-score of 91.55%, which is significantly higher than baseline systems. A web version of this system is available online at-http://wood.ims.uwm.edu/full_text_classifier/.

Meditation on OM: Relevance from ancient texts and contemporary science

Directory of Open Access Journals (Sweden)

Kumar Sanjay

2010-01-01

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

The Development of Relevance in Information Retrieval

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Mu-hsuan Huang

1997-12-01

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

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

Directory of Open Access Journals (Sweden)

Yu Feng

2018-01-01

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

Preparing College Students To Search Full-Text Databases: Is Instruction Necessary?

Science.gov (United States)

Riley, Cheryl; Wales, Barbara

Full-text databases allow Central Missouri State University's clients to access some of the serials that libraries have had to cancel due to escalating subscription costs; EbscoHost, the subject of this study, is one such database. The database is available free to all Missouri residents. A survey was designed consisting of 21 questions intended…

Full-text publication of abstracts in emergency medicine in Denmark

DEFF Research Database (Denmark)

Ravn, Anne Katrine; Petersen, Dan Brun; Folkestad, Lars

2014-01-01

INTRODUCTION: Abstracts presented at medical conferences or scientific meetings should ideally be published as full-text articles in peer-reviewed journals after initial presentation and feedback regardless of the findings. The aim of this survey was to determine the publication rate of papers...... similar publication rates. However, other more established specialties have higher publication levels. Knowledge of reasons for non-publication could lead to efforts to promote publication like funding; the possibility of discussion between authors and editors at conferences; "publication mentors"; and...

Reported estimates of diagnostic accuracy in ophthalmology conference abstracts were not associated with full-text publication.

Science.gov (United States)

Korevaar, Daniël A; Cohen, Jérémie F; Spijker, René; Saldanha, Ian J; Dickersin, Kay; Virgili, Gianni; Hooft, Lotty; Bossuyt, Patrick M M

2016-11-01

To assess whether conference abstracts that report higher estimates of diagnostic accuracy are more likely to reach full-text publication in a peer-reviewed journal. We identified abstracts describing diagnostic accuracy studies, presented between 2007 and 2010 at the Association for Research in Vision and Ophthalmology (ARVO) Annual Meeting. We extracted reported estimates of sensitivity, specificity, area under the receiver operating characteristic curve (AUC), and diagnostic odds ratio (DOR). Between May and July 2015, we searched MEDLINE and EMBASE to identify corresponding full-text publications; if needed, we contacted abstract authors. Cox regression was performed to estimate associations with full-text publication, where sensitivity, specificity, and AUC were logit transformed, and DOR was log transformed. A full-text publication was found for 226/399 (57%) included abstracts. There was no association between reported estimates of sensitivity and full-text publication (hazard ratio [HR] 1.09 [95% confidence interval {CI} 0.98, 1.22]). The same applied to specificity (HR 1.00 [95% CI 0.88, 1.14]), AUC (HR 0.91 [95% CI 0.75, 1.09]), and DOR (HR 1.01 [95% CI 0.94, 1.09]). Almost half of the ARVO conference abstracts describing diagnostic accuracy studies did not reach full-text publication. Studies in abstracts that mentioned higher accuracy estimates were not more likely to be reported in a full-text publication. Copyright © 2016 Elsevier Inc. All rights reserved.

The BioC-BioGRID corpus: full text articles annotated for curation of protein–protein and genetic interactions

Science.gov (United States)

Kim, Sun; Chatr-aryamontri, Andrew; Chang, Christie S.; Oughtred, Rose; Rust, Jennifer; Wilbur, W. John; Comeau, Donald C.; Dolinski, Kara; Tyers, Mike

2017-01-01

A great deal of information on the molecular genetics and biochemistry of model organisms has been reported in the scientific literature. However, this data is typically described in free text form and is not readily amenable to computational analyses. To this end, the BioGRID database systematically curates the biomedical literature for genetic and protein interaction data. This data is provided in a standardized computationally tractable format and includes structured annotation of experimental evidence. BioGRID curation necessarily involves substantial human effort by expert curators who must read each publication to extract the relevant information. Computational text-mining methods offer the potential to augment and accelerate manual curation. To facilitate the development of practical text-mining strategies, a new challenge was organized in BioCreative V for the BioC task, the collaborative Biocurator Assistant Task. This was a non-competitive, cooperative task in which the participants worked together to build BioC-compatible modules into an integrated pipeline to assist BioGRID curators. As an integral part of this task, a test collection of full text articles was developed that contained both biological entity annotations (gene/protein and organism/species) and molecular interaction annotations (protein–protein and genetic interactions (PPIs and GIs)). This collection, which we call the BioC-BioGRID corpus, was annotated by four BioGRID curators over three rounds of annotation and contains 120 full text articles curated in a dataset representing two major model organisms, namely budding yeast and human. The BioC-BioGRID corpus contains annotations for 6409 mentions of genes and their Entrez Gene IDs, 186 mentions of organism names and their NCBI Taxonomy IDs, 1867 mentions of PPIs and 701 annotations of PPI experimental evidence statements, 856 mentions of GIs and 399 annotations of GI evidence statements. The purpose, characteristics and possible future

Beyond genes, proteins, and abstracts: Identifying scientific claims from full-text biomedical articles.

Science.gov (United States)

Blake, Catherine

2010-04-01

Massive increases in electronically available text have spurred a variety of natural language processing methods to automatically identify relationships from text; however, existing annotated collections comprise only bioinformatics (gene-protein) or clinical informatics (treatment-disease) relationships. This paper introduces the Claim Framework that reflects how authors across biomedical spectrum communicate findings in empirical studies. The Framework captures different levels of evidence by differentiating between explicit and implicit claims, and by capturing under-specified claims such as correlations, comparisons, and observations. The results from 29 full-text articles show that authors report fewer than 7.84% of scientific claims in an abstract, thus revealing the urgent need for text mining systems to consider the full-text of an article rather than just the abstract. The results also show that authors typically report explicit claims (77.12%) rather than an observations (9.23%), correlations (5.39%), comparisons (5.11%) or implicit claims (2.7%). Informed by the initial manual annotations, we introduce an automated approach that uses syntax and semantics to identify explicit claims automatically and measure the degree to which each feature contributes to the overall precision and recall. Results show that a combination of semantics and syntax is required to achieve the best system performance. 2009 Elsevier Inc. All rights reserved.

Full-text automated detection of surgical site infections secondary to neurosurgery in Rennes, France.

Science.gov (United States)

Campillo-Gimenez, Boris; Garcelon, Nicolas; Jarno, Pascal; Chapplain, Jean Marc; Cuggia, Marc

2013-01-01

The surveillance of Surgical Site Infections (SSI) contributes to the management of risk in French hospitals. Manual identification of infections is costly, time-consuming and limits the promotion of preventive procedures by the dedicated teams. The introduction of alternative methods using automated detection strategies is promising to improve this surveillance. The present study describes an automated detection strategy for SSI in neurosurgery, based on textual analysis of medical reports stored in a clinical data warehouse. The method consists firstly, of enrichment and concept extraction from full-text reports using NOMINDEX, and secondly, text similarity measurement using a vector space model. The text detection was compared to the conventional strategy based on self-declaration and to the automated detection using the diagnosis-related group database. The text-mining approach showed the best detection accuracy, with recall and precision equal to 92% and 40% respectively, and confirmed the interest of reusing full-text medical reports to perform automated detection of SSI.

Full text publication rates of studies presented at an international emergency medicine scientific meeting.

Science.gov (United States)

Chan, Jannet W M; Graham, Colin A

2011-09-01

The publication rate of full text papers following an abstract presentation at a medical conference is variable, and few studies have examined the situation with respect to international emergency medicine conferences. This retrospective study aimed to identify the publication rate of abstracts presented at the 2006 International Conference on Emergency Medicine (ICEM) held in Halifax, Canada. The full text publication rate was 33.2%, similar to previous emergency medicine meetings. English language barriers may play a role in the low publication rate seen.

User perspectives on relevance criteria

DEFF Research Database (Denmark)

Maglaughlin, Kelly L.; Sonnenwald, Diane H.

2002-01-01

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

Full Text or Abstract? : Examining Topic Coherence Scores Using Latent Dirichlet Allocation

NARCIS (Netherlands)

Syed, S.; Spruit, M.

2017-01-01

This paper assesses topic coherence and human topic ranking of uncovered latent topics from scientific publications when utilizing the topic model latent Dirichlet allocation (LDA) on abstract and full-text data. The coherence of a topic, used as a proxy for topic quality, is based on the

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African Journals Online (AJOL)

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2009-07-20

Jul 20, 2009 ... Table 1: Influenza pandemics of the 20th and 21st century. Name of ... could be responsible for the rapid human -to- human transmission [21]. Using evolutionary analysis to estimate the timescale of the origins, Smith and his research team from The. University of ... The biology of influenza A viruses is very.

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–60 years, in Al-Jala Women Hospital in. Tripoli, Libya. Haemoglobin concentration was measured using an automated haematology analyzer. ... i.e. by relatives and friends of the patient needing blood. A .... More attention should be given.

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2009-01-11

Jan 11, 2009 ... battery, retail for approximately £30GBP although bulk buying ..... care to store them carefully. Electrode costs .... nerve stimulation does not relieve in labour pain: updated ... (Online : Update Software), 2003(3): p. CD003222.

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Case presentation. A seventy five year old Libyan man was seen in the urology department of Tripoli Medical Centre, Tripoli, Libya with six month history of left loin pain. The patient noted a mass in the left loin two days before he was assessed in the hospital. Also he started to vomit. There was no history of haematuria.

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impact of using a robotic dispensing machine in community pharmacies was gathered using a structured questionnaire and analysed in ... dispensing time was also shorter and staff satisfaction increased. ... reference customers who were using a ROWA robotic .... Costs situation Purchase price Stock value Personnel costs.

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release of intracellular myocyte components. Clinical sequelae to rhabdomyolysis include hypovolemia, hyperkalemia, metabolic acidosis and acute renal failure which is the most serious complication. Renal failure is caused by renal vasoconstriction, myoglobin and heme protein toxicity. Usual explanations of the cause of.

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Original Article. Effects of Gender and Seasonal Variation on the Prevalence of. Bacterial Septicaemia Among Young Children in Benin City,. Nigeria. Omoregie R1,2, Egbe CA2, Ogefere HO1,3, Igbarumah I2, Omijie RE2. 1School of Medical Laboratory Sciences, 2Department of Medical Microbiology, University of Benin.

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healing process when wound tensile strength is very low or absent (days 0-30). It is during this time, when .... and two (4.5%) were supraumbilical. Table 1: Age distribution and the outcome of surgery in the 44 women with incisional hernia. Variable. Frequency. Percentage. Age. 60. 9. 15. 10. 6. 4.

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fishermen were enrolled at three Marine stations in Basra, Iraq. Demographic data, types .... that are used to sting and kill their prey or for defense. ... cardiotoxic, and dermatonecrotic toxins [1,6]. Figure 3: 4 ... May last a few weeks. The hands ...

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from Turkey, Mexico, Brazil, USA, and Spain determined some criteria in favor ... female gender, and higher level of education. [9-14]. ... teachers and/or workers in that facility. Then a random ..... Psychosocial profile in favor of organ donation.

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1Department of Surgery, Obafemi Awolowo, 2Department of Community Health,. Obafemi ... the use of mesh, either open or laparoscopic [15,21], but this ... recurrence. METHODS AND PATIENTS .... TAH-BSO* = Total abdominal hysterectomy and bilateral salpingoophorectomy. Recurrent I.H. # = Recurrent inguinal hernia.

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Figure 2 axial CT section with contrast media showing extension of lesion. Figure 3 Photomicrograph revealing many dilated cavernous lymphatic channels filled with eosinophilic coagulum. (Haematoxylin and Eosin section Orginal magnification 40 X). Discussion. Cystic hygroma, known as cystic lymphangioma is a.

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Abstract; The expression of EGFR and p53 has not been adequately studied as a prognostic tool in urinary bladder tumors. We analyzed 74 bladder cancer samples from Egypt for EGFR and p53 expression using immunohistochemistry. The tumors .... have some potential value in differential diagnosis of problem cases, but ...

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receptor; TNF-α: Tumor Necrosis Factor–alpha; TGF-β1: transforming growth factor-β1. INTRODUCTION .... hormones that mediate inflammatory and immune responses in a ..... score, lactate, and base deficit), as well as treatment with agents ...

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African Journals Online (AJOL)

IndexCopernicus Portal System

Abstract; The detection of single base mismatches in DNA is important for diagnostics, treatment of ... nucleic acid detectors, and show how such exciplexes can register the presence of .... Titration experiments were carried out using a stock.

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African Journals Online (AJOL)

IndexCopernicus Portal System

2009-05-03

May 3, 2009 ... The patient made an uneventful recovery. The final histopathology report was consistent with metastatic renal carcinoma. The patient was referred to the oncologist but unfortunately defaulted further treatment. . She is currently well and disease free 24 months after metastatectomy. Electronic PDF security ...

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African Journals Online (AJOL)

ADOWIE PERE

consideration the needs of the current generation without risking ability of future generations to attain their needs. Evaluation of .... If an element or a number such as x and a collection such as A ... defined as definitive and accurate. This also ...

Design of an On-Line Query Language for Full Text Patent Search.

Science.gov (United States)

Glantz, Richard S.

The design of an English-like query language and an interactive computer environment for searching the full text of the U.S. patent collection are discussed. Special attention is paid to achieving a transparent user interface, to providing extremely broad search capabilities (including nested substitution classes, Kleene star events, and domain…

Profiles of Dialogue for Relevance

Directory of Open Access Journals (Sweden)

Douglas Walton

2016-12-01

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

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

Science.gov (United States)

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

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

Science.gov (United States)

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

The BioC-BioGRID corpus: full text articles annotated for curation of protein-protein and genetic interactions.

Science.gov (United States)

Islamaj Dogan, Rezarta; Kim, Sun; Chatr-Aryamontri, Andrew; Chang, Christie S; Oughtred, Rose; Rust, Jennifer; Wilbur, W John; Comeau, Donald C; Dolinski, Kara; Tyers, Mike

2017-01-01

A great deal of information on the molecular genetics and biochemistry of model organisms has been reported in the scientific literature. However, this data is typically described in free text form and is not readily amenable to computational analyses. To this end, the BioGRID database systematically curates the biomedical literature for genetic and protein interaction data. This data is provided in a standardized computationally tractable format and includes structured annotation of experimental evidence. BioGRID curation necessarily involves substantial human effort by expert curators who must read each publication to extract the relevant information. Computational text-mining methods offer the potential to augment and accelerate manual curation. To facilitate the development of practical text-mining strategies, a new challenge was organized in BioCreative V for the BioC task, the collaborative Biocurator Assistant Task. This was a non-competitive, cooperative task in which the participants worked together to build BioC-compatible modules into an integrated pipeline to assist BioGRID curators. As an integral part of this task, a test collection of full text articles was developed that contained both biological entity annotations (gene/protein and organism/species) and molecular interaction annotations (protein-protein and genetic interactions (PPIs and GIs)). This collection, which we call the BioC-BioGRID corpus, was annotated by four BioGRID curators over three rounds of annotation and contains 120 full text articles curated in a dataset representing two major model organisms, namely budding yeast and human. The BioC-BioGRID corpus contains annotations for 6409 mentions of genes and their Entrez Gene IDs, 186 mentions of organism names and their NCBI Taxonomy IDs, 1867 mentions of PPIs and 701 annotations of PPI experimental evidence statements, 856 mentions of GIs and 399 annotations of GI evidence statements. The purpose, characteristics and possible future

10. National Nuclear Science and Technologies Congress Proceedings Full Texts Volume 1

International Nuclear Information System (INIS)

2009-01-01

X. National Nuclear Science and Technologies Congress was held on 6-9 October 2009 in Mugla, Turkey in the course of collaborative organization undertaken by Turkish Atomic Energy Authority, Mugla University and Sitki Kocman Foundation. This first volume of Proceedings Book contains 75 submitted presentations and 36 of them are full texts on applications of nuclear techniques.

Desktop Access to Full-Text NACA and NASA Reports: Systems Developed by NASA Langley Technical Library

Science.gov (United States)

Ambur, Manjula Y.; Adams, David L.; Trinidad, P. Paul

1997-01-01

NASA Langley Technical Library has been involved in developing systems for full-text information delivery of NACA/NASA technical reports since 1991. This paper will describe the two prototypes it has developed and the present production system configuration. The prototype systems are a NACA CD-ROM of thirty-three classic paper NACA reports and a network-based Full-text Electronic Reports Documents System (FEDS) constructed from both paper and electronic formats of NACA and NASA reports. The production system is the DigiDoc System (DIGItal Documents) presently being developed based on the experiences gained from the two prototypes. DigiDoc configuration integrates the on-line catalog database World Wide Web interface and PDF technology to provide a powerful and flexible search and retrieval system. It describes in detail significant achievements and lessons learned in terms of data conversion, storage technologies, full-text searching and retrieval, and image databases. The conclusions from the experiences of digitization and full- text access and future plans for DigiDoc system implementation are discussed.

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

Science.gov (United States)

Scheele, C. J.; Huang, Q.

2016-12-01

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

Full Text Searching and Customization in the NASA ADS Abstract Service

Science.gov (United States)

Eichhorn, G.; Accomazzi, A.; Grant, C. S.; Kurtz, M. J.; Henneken, E. A.; Thompson, D. M.; Murray, S. S.

2004-01-01

The NASA-ADS Abstract Service provides a sophisticated search capability for the literature in Astronomy, Planetary Sciences, Physics/Geophysics, and Space Instrumentation. The ADS is funded by NASA and access to the ADS services is free to anybody worldwide without restrictions. It allows the user to search the literature by author, title, and abstract text. The ADS database contains over 3.6 million references, with 965,000 in the Astronomy/Planetary Sciences database, and 1.6 million in the Physics/Geophysics database. 2/3 of the records have full abstracts, the rest are table of contents entries (titles and author lists only). The coverage for the Astronomy literature is better than 95% from 1975. Before that we cover all major journals and many smaller ones. Most of the journal literature is covered back to volume 1. We now get abstracts on a regular basis from most journals. Over the last year we have entered basically all conference proceedings tables of contents that are available at the Harvard Smithsonian Center for Astrophysics library. This has greatly increased the coverage of conference proceedings in the ADS. The ADS also covers the ArXiv Preprints. We download these preprints every night and index all the preprints. They can be searched either together with the other abstracts or separately. There are currently about 260,000 preprints in that database. In January 2004 we have introduced two new services, full text searching and a personal notification service called "myADS". As all other ADS services, these are free to use for anybody.

The structural and content aspects of abstracts versus bodies of full text journal articles are different.

Science.gov (United States)

Cohen, K Bretonnel; Johnson, Helen L; Verspoor, Karin; Roeder, Christophe; Hunter, Lawrence E

2010-09-29

An increase in work on the full text of journal articles and the growth of PubMedCentral have the opportunity to create a major paradigm shift in how biomedical text mining is done. However, until now there has been no comprehensive characterization of how the bodies of full text journal articles differ from the abstracts that until now have been the subject of most biomedical text mining research. We examined the structural and linguistic aspects of abstracts and bodies of full text articles, the performance of text mining tools on both, and the distribution of a variety of semantic classes of named entities between them. We found marked structural differences, with longer sentences in the article bodies and much heavier use of parenthesized material in the bodies than in the abstracts. We found content differences with respect to linguistic features. Three out of four of the linguistic features that we examined were statistically significantly differently distributed between the two genres. We also found content differences with respect to the distribution of semantic features. There were significantly different densities per thousand words for three out of four semantic classes, and clear differences in the extent to which they appeared in the two genres. With respect to the performance of text mining tools, we found that a mutation finder performed equally well in both genres, but that a wide variety of gene mention systems performed much worse on article bodies than they did on abstracts. POS tagging was also more accurate in abstracts than in article bodies. Aspects of structure and content differ markedly between article abstracts and article bodies. A number of these differences may pose problems as the text mining field moves more into the area of processing full-text articles. However, these differences also present a number of opportunities for the extraction of data types, particularly that found in parenthesized text, that is present in article bodies

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

CSIR Research Space (South Africa)

Casini, G

2014-09-01

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

Full-text publication of abstracts presented at European Orthodontic Society congresses.

Science.gov (United States)

Livas, Christos; Pandis, Nikolaos; Ren, Yijin

2014-10-01

Empirical evidence has indicated that only a subsample of studies conducted reach full-text publication and this phenomenon has become known as publication bias. A form of publication bias is the selectively delayed full publication of conference abstracts. The objective of this article was to examine the publication status of oral abstracts and poster-presentation abstracts, included in the scientific program of the 82nd and 83rd European Orthodontic Society (EOS) congresses, held in 2006 and 2007, and to identify factors associated with full-length publication. A systematic search of PubMed and Google Scholar databases was performed in April 2013 using author names and keywords from the abstract title to locate abstract and full-article publications. Information regarding mode of presentation, type of affiliation, geographical origin, statistical results, and publication details were collected and analyzed using univariable and multivariable logistic regression. Approximately 51 per cent of the EOS 2006 and 55 per cent of the EOS 2007 abstracts appeared in print more than 5 years post congress. A mean period of 1.32 years elapsed between conference and publication date. Mode of presentation (oral or poster), use of statistical analysis, and research subject area were significant predictors for publication success. Inherent discrepancies of abstract reporting, mainly related to presentation of preliminary results and incomplete description of methods, may be considered in analogous studies. On average 52.2 per cent of the abstracts presented at the two EOS conferences reached full publication. Abstracts presented orally, including statistical analysis, were more likely to get published. © The Author 2013. Published by Oxford University Press on behalf of the European Orthodontic Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Relevance: An Interdisciplinary and Information Science Perspective

Directory of Open Access Journals (Sweden)

Howard Greisdorf

2000-01-01

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

PathText: a text mining integrator for biological pathway visualizations

Science.gov (United States)

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

2010-01-01

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

Profiling School Shooters: Automatic Text-Based Analysis

Directory of Open Access Journals (Sweden)

Yair eNeuman

2015-06-01

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

Commercial Database Design vs. Library Terminology Comprehension: Why Do Students Print Abstracts Instead of Full-Text Articles?

Science.gov (United States)

Imler, Bonnie; Eichelberger, Michelle

2014-01-01

When asked to print the full text of an article, many undergraduate college students print the abstract instead of the full text. This study seeks to determine the underlying cause(s) of this confusion. In this quantitative study, participants (n = 40) performed five usability tasks to assess ease of use and usefulness of five commercial library…

Large-scale extraction of gene interactions from full-text literature using DeepDive.

Science.gov (United States)

Mallory, Emily K; Zhang, Ce; Ré, Christopher; Altman, Russ B

2016-01-01

A complete repository of gene-gene interactions is key for understanding cellular processes, human disease and drug response. These gene-gene interactions include both protein-protein interactions and transcription factor interactions. The majority of known interactions are found in the biomedical literature. Interaction databases, such as BioGRID and ChEA, annotate these gene-gene interactions; however, curation becomes difficult as the literature grows exponentially. DeepDive is a trained system for extracting information from a variety of sources, including text. In this work, we used DeepDive to extract both protein-protein and transcription factor interactions from over 100,000 full-text PLOS articles. We built an extractor for gene-gene interactions that identified candidate gene-gene relations within an input sentence. For each candidate relation, DeepDive computed a probability that the relation was a correct interaction. We evaluated this system against the Database of Interacting Proteins and against randomly curated extractions. Our system achieved 76% precision and 49% recall in extracting direct and indirect interactions involving gene symbols co-occurring in a sentence. For randomly curated extractions, the system achieved between 62% and 83% precision based on direct or indirect interactions, as well as sentence-level and document-level precision. Overall, our system extracted 3356 unique gene pairs using 724 features from over 100,000 full-text articles. Application source code is publicly available at https://github.com/edoughty/deepdive_genegene_app russ.altman@stanford.edu Supplementary data are available at Bioinformatics online. © The Author 2015. Published by Oxford University Press.

Identifying Scientific Project-generated Data Citation from Full-text Articles: An Investigation of TCGA Data Citation

Directory of Open Access Journals (Sweden)

Jiao Li

2016-06-01

Full Text Available Purpose: In the open science era, it is typical to share project-generated scientific data by depositing it in an open and accessible database. Moreover, scientific publications are preserved in a digital library archive. It is challenging to identify the data usage that is mentioned in literature and associate it with its source. Here, we investigated the data usage of a government-funded cancer genomics project, The Cancer Genome Atlas (TCGA, via a full-text literature analysis. Design/methodology/approach: We focused on identifying articles using the TCGA dataset and constructing linkages between the articles and the specific TCGA dataset. First, we collected 5,372 TCGA-related articles from PubMed Central (PMC. Second, we constructed a benchmark set with 25 full-text articles that truly used the TCGA data in their studies, and we summarized the key features of the benchmark set. Third, the key features were applied to the remaining PMC full-text articles that were collected from PMC. Findings: The amount of publications that use TCGA data has increased significantly since 2011, although the TCGA project was launched in 2005. Additionally, we found that the critical areas of focus in the studies that use the TCGA data were glioblastoma multiforme, lung cancer, and breast cancer; meanwhile, data from the RNA-sequencing (RNA-seq platform is the most preferable for use. Research limitations: The current workflow to identify articles that truly used TCGA data is labor-intensive. An automatic method is expected to improve the performance. Practical implications: This study will help cancer genomics researchers determine the latest advancements in cancer molecular therapy, and it will promote data sharing and data-intensive scientific discovery. Originality/value: Few studies have been conducted to investigate data usage by government-funded projects/programs since their launch. In this preliminary study, we extracted articles that use TCGA data

Making academic research more relevant: A few suggestions

Directory of Open Access Journals (Sweden)

Abinash Panda

2014-09-01

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

The Searchbench - Combining Sentence-semantic, Full-text and Bibliographic Search in Digital Libraries

Directory of Open Access Journals (Sweden)

Ulrich Schäfer

2013-02-01

Full Text Available We describe a novel approach to precise searching in the full content of digital libraries. The Searchbench (for search workbench is based on sentence-wise syntactic and semantic natural language processing (NLP of both born-digital and scanned publications in PDF format. The term born-digital means natively digital, i.e. prepared electronically using typesetting systems such as LaTeX, OpenOffice, and the like. In the Searchbench, queries can be formulated as (possibly underspecified statements, consisting of simple subject-predicate-object constructs such as ‘algorithm improves word alignment’. This reduces the number of false hits in large document collections when the search words happen to appear close to each other, but are not semantically related. The method also abstracts from passive voice and predicate synonyms. Moreover, negated statements can be excluded from the search results, and negated antonym predicates again count as synonyms (e.g. not include = exclude.In the Searchbench, a sentence-semantic search can be combined with search filters for classical full-text, bibliographic metadata and automatically computed domain terms. Auto-suggest fields facilitate text input. Queries can be bookmarked or emailed. Furthermore, a novel citation browser in the Searchbench allows graphical navigation in citation networks. These have been extracted automatically from metadata and paper texts. The citation browser displays short phrases from citation sentences at the edges in the citation graph and thus allows students and researchers to quickly browse publications and immerse into a new research field. By clicking on a citation edge, the original citation sentence is shown in context, and optionally also in the original PDF layout.To showcase the usefulness of our research, we have a applied it to a collection of currently approx. 25,000 open access research papers in the field of computational linguistics and language technology, the ACL

Scholarly Electronic Full-Text Publications via the Internet: Issues and Impacts

Science.gov (United States)

Kosmin, Linda J.

1999-01-01

On-line access to complete texts of scholarly journal articles, conference papers, and books is facilitated by rapidly developing World-wide Web Internet access and capabilities. Meanwhile, print publications continue to be produced and read in spite of the proliferation of many networked electronic publications. The purpose of this presentation is to highlight fundamental issues impacting stakeholder groups, as the trend continues towards migration from paper to affordable ubiquitous networked full-text publications. Librarians, publishers, authors and end-users have various viewpoints, interests, and concerns. There are many issues challenging all stakeholder groups. For instance, all share concerns about administering copyright compliance and enforcing fair use. Uncontrollable electronic downstreaming could result in infringed copyright, while limiting a publisher's entitled revenue stream. Moreover, metered fee-based access may hamper scholarly information research. And, self-authoring on the Internet without peer filtering could lead to information clutter. Many related issues challenge librarians in particular. Among these are rising journal subscription prices, regardless if offered in print or electronic. Some electronic offerings are independent of print, others supplement or duplicate print; several publishers presently require subscribing to print in order to access electronic. Furthermore, numbers of publications are n'ow being marketed via the Internet directly to end-users, which can be viewed as encouraging users to bypass the traditional library. A key issue challenging publishers today is the rapidly expanding electronic user base that is demanding delivery of added-value full-text to desktop computers. Also of growing concern appears to be the decline in print sales to libraries, thereby reducing traditional revenue stream potential. Nowadays, publishers are more hesitant about investing in the production of publications geared toward small niche

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African Journals Online (AJOL)

Dale E. Zand (1997) argues that People once stood in awe of electricity, until ... in today's information-driven organizations: knowledge, trust, and power. ..... people's culture and resistance to anti-corruption efforts constitute the firmly fixed load.

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African Journals Online (AJOL)

The overshadowing of education policies in foreign language education at primary .... Cummins states that a threshold level of linguistics competence must be ..... language education planning is designed to accommodate these interests.

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African Journals Online (AJOL)

Hence, the main objective of the research was to carry out scientific studies on its ... The animals were sacrificed on day 30 after the NIB scoring and blood sample ... effect on locomotion and rearing activities when compared with the control.

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African Journals Online (AJOL)

Epidemiological study has shown that 2.5 million deaths occurred every year as a result of vaccine-preventable diseases, mainly in Africa and Asia among children less than 5 years old (GIVS, 2005). Immunization is the process of conferring increased resistance to an infectious disease by a means other than experiencing ...

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African Journals Online (AJOL)

Keywords: Technology, French as a foreign language, Learners, Instruction ... This translates to an increase of 3.7 percent or 1.4 million new mobile subscriptions ... technology (ICT) in foreign language learning and the availability as well as capacities ..... In spite of the many benefits of creating an authentic French learning ...

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Pablo Rubio Gijon

Hishongwa belongs to a generation of writers who created a new style of expression in .... authority, can turn this authority into something even more autocratic. ... leadership of that (liberation) struggle” (Haarhoff 224), Hishongwa's Marrying ...

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African Journals Online (AJOL)

In English, this class includes the particles how, too, so, and as (Ibid). (3) Mary is ...... Doctoral thesis (unpublished), University of Dar es Salaam. Goodness, D. .... manga. fat. corpulent. 36. mbindipindi. green. 37. mwalo. naughty. absurd. 38.

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... country and mass migration of the farming communities to IDP camps in major cities ..... "Global Warming Impact: Flood Events, Wet-Dry Conditions and Changing ... Global Environmental Change, Vol. 16, pp. 268-281.Web. Adger, W. N. (1999). "Social Vulnerability to Climate Change and Extremes in Coastal Vietnam.

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UNIVERSITY OF BENIN

By paying strict attention to the manipulation of action and dialogue, the short story ... through the workings of the human mind as he reacts to various predicaments. .... In “A Caring Man,” in A Forest of Flowers, Ken Saro-Wiwa illustrates the theme of .... until his small dirty pillow is thrown out of the window of the moving train.

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African Journals Online (AJOL)

Oita Etyang

The concept democracy has been part of man's political life for ages. ... Taking the queue form Bratton and Mattes, we add that prospects of a stable democracy are ..... of the resulting instability that emanate from entrenched ethnic cleavages.

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African Journals Online (AJOL)

Adopting a surveillance system for antibacterial use has therefore become a more realistic ..... Financial support was obtained from the African Poverty Related Infection ... classification and Defined Daily Dose system methodology in Canada.

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TAOFEEK YUSUF

The data used were obtained through questionnaires administered to ... Keywords: academic performance, engineering education, undergraduate students, and .... and commitment to studies irrespective of any form of learning task Yusuf et al.

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Njeri

He took his children to St Marys, I could not afford to do so. ... place in universities should have been an important learning space for students. ... just us we are fascinated by Manchester football clubs and western movies as well as music.

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African Journals Online (AJOL)

Language and Meaning: A Syntactic Study of Wale Okediran's Strange Encounters ... own communication role, making assertions, asking questions, giving orders, ... I will go straight to the police with all the things you stole from the hospital.

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paula fiona mwikali

The Portrayal of Masculinity in Dholuo Ohangla Music ... The Luo culture is built on patriarchy and the socialization of the children ..... A leader must be strong because those he/ she leads look up to him/her for direction, assistance and development. ... Being a loyal lieutenant of Orange Democratic Movement, Anyanga ...

Relevance Feedback in Content Based Image Retrieval: A Review

Directory of Open Access Journals (Sweden)

Manesh B. Kokare

2011-01-01

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

The consistency between scientific papers presented at the Orthopaedic Trauma Association and their subsequent full-text publication.

Science.gov (United States)

Preston, Charles F; Bhandari, Mohit; Fulkerson, Eric; Ginat, Danial; Egol, Kenneth A; Koval, Kenneth J

2006-02-01

To determine the consistency of conclusions/statements made in podium presentations at the annual meeting of the Orthopaedic Trauma Association (OTA) with those in subsequent full-text publications. Also, to evaluate the nature and consistency of study design, methods, sample sizes, results and assign a corresponding level of evidence. Abstracts of the scientific programs of the OTA from 1994 to 1997 (N = 254) were queried by using the PubMed database to identify those studies resulting in a peer-reviewed, full-text publication. Of the 169 articles retrieved, 137 studies were the basis of our study after the exclusion criteria were applied: non-English language, basic science studies, anatomic dissection studies, and articles published in non-peer-reviewed journals. Information was abstracted onto a data form: first from the abstract published in the final meeting program, and then from the published journal article. Information was recorded regarding study issues, including the study design, primary objective, sample size, and statistical methods. We provided descriptive statistics about the frequency of consistent results between abstracts and full-text publications. The results were recorded as percentages and a 95% confidence interval was applied to each value. Study results were recorded for the abstract and full-text publication comparing results and the overall conclusion. A level of scientific-based evidence was assigned to each full-text publication. The final conclusion of the study remained the same 93.4% of the time. The method of study was an observational case series 52% of the time and a statement regarding the rate of patient follow-up was reported 42% of the time. Of the studies published, 18.2% consisted of a sample size smaller than the previously presented abstract. When the published papers had their level of evidence graded, 11% were level I, 16% level II, 17% level III, and 56% level IV. Authors conclusions were consistent with those in full-text

Empirical investigations into full-text protein interaction Article Categorization Task (ACT) in the BioCreative II.5 Challenge.

Science.gov (United States)

Lan, Man; Su, Jian

2010-01-01

The selection of protein interaction documents is one important application for biology research and has a direct impact on the quality of downstream BioNLP applications, i.e., information extraction and retrieval, summarization, QA, etc. The BioCreative II.5 Challenge Article Categorization task (ACT) involves doing a binary text classification to determine whether a given structured full-text article contains protein interaction information. This may be the first attempt at classification of full-text protein interaction documents in wide community. In this paper, we compare and evaluate the effectiveness of different section types in full-text articles for text classification. Moreover, in practice, the less number of true-positive samples results in unstable performance and unreliable classifier trained on it. Previous research on learning with skewed class distributions has altered the class distribution using oversampling and downsampling. We also investigate the skewed protein interaction classification and analyze the effect of various issues related to the choice of external sources, oversampling training sets, classifiers, etc. We report on the various factors above to show that 1) a full-text biomedical article contains a wealth of scientific information important to users that may not be completely represented by abstracts and/or keywords, which improves the accuracy performance of classification and 2) reinforcing true-positive samples significantly increases the accuracy and stability performance of classification.

Chinese legal texts – Quantitative Description

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Ľuboš GAJDOŠ

2017-06-01

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

Evolutionary Relevance Facilitates Visual Information Processing

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Russell E. Jackson

2013-07-01

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

Early Career Researchers Demand Full-text and Rely on Google to Find Scholarly Sources

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Richard Hayman

2017-12-01

Full Text Available A Review of: Nicholas, D., Boukacem-Zeghmouri, C., Rodríguez-Bravo, B., Xu, J., Watkinson, A., Abrizah, A., Herman, E., & Świgoń, M. (2017. Where and how early career researchers find scholarly information. Learned Publishing, 30(1, 19-29. http://dx.doi.org/10.1002/leap.1087 Abstract Objective – To examine the attitudes and information behaviours of early career researchers (ECRs when locating scholarly information. Design – Qualitative longitudinal study. Setting – Research participants from the United Kingdom, United States of America, China, France, Malaysia, Poland, and Spain. Subjects – A total 116 participants from various disciplines, aged 35 and younger, who were holding or had previously held a research position, but not in a tenured position. All participants held a doctorate or were in the process of earning one. Methods – Using structured interviews of 60-90 minutes, researchers asked 60 questions of each participant via face-to-face, Skype, or telephone interviews. The interview format and questions were formed via focus groups. Main Results – As part of a longitudinal project, results reported are limited to the first year of the study, and focused on three primary questions identified by the authors: where do ECRs find scholarly information, whether they use their smartphones to locate and read scholarly information, and what social media do they use to find scholarly information. Researchers describe how ECRs themselves interpreted the phrase scholarly information to primarily mean journal articles, while the researchers themselves had a much expanded definition to include professional and “scholarly contacts, ideas, and data” (p. 22. This research shows that Google and Google Scholar are widely used by ECRs for locating scholarly information regardless of discipline, language, or geography. Their analysis by country points to currency and the combined breadth-and-depth search experience that Google provides as

Coreference annotation and resolution in the Colorado Richly Annotated Full Text (CRAFT) corpus of biomedical journal articles.

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Cohen, K Bretonnel; Lanfranchi, Arrick; Choi, Miji Joo-Young; Bada, Michael; Baumgartner, William A; Panteleyeva, Natalya; Verspoor, Karin; Palmer, Martha; Hunter, Lawrence E

2017-08-17

Coreference resolution is the task of finding strings in text that have the same referent as other strings. Failures of coreference resolution are a common cause of false negatives in information extraction from the scientific literature. In order to better understand the nature of the phenomenon of coreference in biomedical publications and to increase performance on the task, we annotated the Colorado Richly Annotated Full Text (CRAFT) corpus with coreference relations. The corpus was manually annotated with coreference relations, including identity and appositives for all coreferring base noun phrases. The OntoNotes annotation guidelines, with minor adaptations, were used. Interannotator agreement ranges from 0.480 (entity-based CEAF) to 0.858 (Class-B3), depending on the metric that is used to assess it. The resulting corpus adds nearly 30,000 annotations to the previous release of the CRAFT corpus. Differences from related projects include a much broader definition of markables, connection to extensive annotation of several domain-relevant semantic classes, and connection to complete syntactic annotation. Tool performance was benchmarked on the data. A publicly available out-of-the-box, general-domain coreference resolution system achieved an F-measure of 0.14 (B3), while a simple domain-adapted rule-based system achieved an F-measure of 0.42. An ensemble of the two reached F of 0.46. Following the IDENTITY chains in the data would add 106,263 additional named entities in the full 97-paper corpus, for an increase of 76% percent in the semantic classes of the eight ontologies that have been annotated in earlier versions of the CRAFT corpus. The project produced a large data set for further investigation of coreference and coreference resolution in the scientific literature. The work raised issues in the phenomenon of reference in this domain and genre, and the paper proposes that many mentions that would be considered generic in the general domain are not

Using distant supervised learning to identify protein subcellular localizations from full-text scientific articles.

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Zheng, Wu; Blake, Catherine

2015-10-01

Databases of curated biomedical knowledge, such as the protein-locations reflected in the UniProtKB database, provide an accurate and useful resource to researchers and decision makers. Our goal is to augment the manual efforts currently used to curate knowledge bases with automated approaches that leverage the increased availability of full-text scientific articles. This paper describes experiments that use distant supervised learning to identify protein subcellular localizations, which are important to understand protein function and to identify candidate drug targets. Experiments consider Swiss-Prot, the manually annotated subset of the UniProtKB protein knowledge base, and 43,000 full-text articles from the Journal of Biological Chemistry that contain just under 11.5 million sentences. The system achieves 0.81 precision and 0.49 recall at sentence level and an accuracy of 57% on held-out instances in a test set. Moreover, the approach identifies 8210 instances that are not in the UniProtKB knowledge base. Manual inspection of the 50 most likely relations showed that 41 (82%) were valid. These results have immediate benefit to researchers interested in protein function, and suggest that distant supervision should be explored to complement other manual data curation efforts. Copyright © 2015 Elsevier Inc. All rights reserved.

A full-text english database of testimonies of those exposed to radiation near the Semipalatinsk nuclear test site, Kazakhstan

OpenAIRE

Matsuo, Masatsugu; Kawano, Noriyuki; Hirabayashi, Kyoko; Tooka, Yasuyuki; Apsalikov, Kazbek Negamatovich; Hoshi, Masaharu

2004-01-01

The present paper is a sequel to the initial report (Kawano et al 2003a) of the project for a full-text Japanese database of the testimonies of those exposed to radiation near the nuclear test site of Semipalatinsk, Kazakhstan. 139 testimonies were gathered in four villages near Semipalatinsk in 2002. We translated them into English from Russian and Kazakh, and created a full-text database by using a Latin script text retrieval program, TERESA. The present paper attempts at essentially the sa...

The Establishment of the Chinese Full-text Electronic Periodical Database and Service System

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Huei-Chu Chang

2003-12-01

Full Text Available A database covers important journals to critical mass, with powerful search interface, and easy for remote access is the most reasonable electronic resource for users. This article try to start from the project of digitizing bio-medical journals in Taiwan area to the CEPS, discuss the related issues about the selection of journals, the digitized of back issues, the copyright transfer from authors to database producers, the feedback to authors for payment from revenue. It also talks about the flow of journal publishing, marketing, function and the proposed cost-effectiveness in CEPS.[Article content in Chinese

Conversion rates of abstracts presented at the Canadian Rheumatology Association Annual Meetings into full-text journal articles.

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Yacyshyn, Elaine A; Soong, Laura C

2017-06-01

Dissemination of research studies is important for research ideas to be transformed from initial abstracts to full publications. Analyses of the scientific impact and publication record of the Canadian Rheumatology Association (CRA) Annual meeting have not been previously described. This study determines the publication rate of abstracts presented at the CRA Annual Meetings 2005-2013 to full-text journal articles and the factors associated with publication. Program records of previous CRA meetings from 2005 to 2013 were obtained. Abstracts were searched for corresponding full-text publication in Google Scholar and PubMed using a search algorithm. Abstracts and subsequent published articles were evaluated for type of abstract, time to publication, study type, publishing journal, and journal impact factor. A total of 1401 abstracts were included in the study, 567 of which were converted to full publications. The average time to publication was 19.7 months, with 89% of abstracts published within 3 years of being presented. Eighty-three percent of abstracts were clinical in nature, and 58% of published studies were observational in design. Articles were published in a wide range of journals, with the top publisher being the Journal of Rheumatology (31%). Average time to publication was 19.7 months. Eighty-six percent of articles had a Journal Impact Factor > 2. Overall, 40.5% of abstracts presented at the CRA Annual Meetings 2005-2013 were published. Further research is needed to determine barriers and reasons for abstracts not being published as full-text articles.

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

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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.

Enhancing biomedical text summarization using semantic relation extraction.

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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.

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

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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.…

Relevance of nanotechnology to Africa: synthesis, applications and safety

CSIR Research Space (South Africa)

Musee, N

2012-07-01

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

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

African Journals Online (AJOL)

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

Getting more out of biomedical documents with GATE's full lifecycle open source text analytics.

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Hamish Cunningham

Full Text Available This software article describes the GATE family of open source text analysis tools and processes. GATE is one of the most widely used systems of its type with yearly download rates of tens of thousands and many active users in both academic and industrial contexts. In this paper we report three examples of GATE-based systems operating in the life sciences and in medicine. First, in genome-wide association studies which have contributed to discovery of a head and neck cancer mutation association. Second, medical records analysis which has significantly increased the statistical power of treatment/outcome models in the UK's largest psychiatric patient cohort. Third, richer constructs in drug-related searching. We also explore the ways in which the GATE family supports the various stages of the lifecycle present in our examples. We conclude that the deployment of text mining for document abstraction or rich search and navigation is best thought of as a process, and that with the right computational tools and data collection strategies this process can be made defined and repeatable. The GATE research programme is now 20 years old and has grown from its roots as a specialist development tool for text processing to become a rather comprehensive ecosystem, bringing together software developers, language engineers and research staff from diverse fields. GATE now has a strong claim to cover a uniquely wide range of the lifecycle of text analysis systems. It forms a focal point for the integration and reuse of advances that have been made by many people (the majority outside of the authors' own group who work in text processing for biomedicine and other areas. GATE is available online under GNU open source licences and runs on all major operating systems. Support is available from an active user and developer community and also on a commercial basis.

Endnote Referencing Software: Importing references from an Ebsco database, attaching full text, organising your Endnote library

OpenAIRE

Turner, Susan

2017-01-01

This video demonstrates importing bibliographic references from EBSCO Discovery Service, the same method can be used for all EBSCO databases. \\ud The video also demonstrates how to attach full text files to the references and how to organise your references within the endnote library using groups.

Comparing data accuracy between structured abstracts and full-text journal articles: implications in their use for informing clinical decisions.

Science.gov (United States)

Fontelo, Paul; Gavino, Alex; Sarmiento, Raymond Francis

2013-12-01

The abstract is the most frequently read section of a research article. The use of 'Consensus Abstracts', a clinician-oriented web application formatted for mobile devices to search MEDLINE/PubMed, for informing clinical decisions was proposed recently; however, inaccuracies between abstracts and the full-text article have been shown. Efforts have been made to improve quality. We compared data in 60 recent-structured abstracts and full-text articles from six highly read medical journals. Data inaccuracies were identified and then classified as either clinically significant or not significant. Data inaccuracies were observed in 53.33% of articles ranging from 3.33% to 45% based on the IMRAD format sections. The Results section showed the highest discrepancies (45%) although these were deemed to be mostly not significant clinically except in one. The two most common discrepancies were mismatched numbers or percentages (11.67%) and numerical data or calculations found in structured abstracts but not mentioned in the full text (40%). There was no significant relationship between journals and the presence of discrepancies (Fisher's exact p value =0.3405). Although we found a high percentage of inaccuracy between structured abstracts and full-text articles, these were not significant clinically. The inaccuracies do not seem to affect the conclusion and interpretation overall. Structured abstracts appear to be informative and may be useful to practitioners as a resource for guiding clinical decisions.

Bacterial colonization of psoriasis plaques. Is it relevant?

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Eva Marcus

2011-08-01

Full Text Available Bacterial colonization was investigated retrospectively in patients with plaque psoriasis (n=98 inpatient treatments, n=73 patients. At least one pathogen was found in 46% of all cases. Staphylococcus aureus was the most frequent bacterium. Bacterial colonization of psoriasis plaques could be relevant in individual cases.

How accessibility influences citation counts: The case of citations to the full text articles available from ResearchGate

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Mohammad Sababi

2017-08-01

Full Text Available It is generally believed that the number of citations to an article can positively be correlated to its free online availability. In the present study, we investigated the possible impact of academic social networks on the number of citations. We chose the social web service “ResearchGate” as a case. This website acts both as a social network to connect researchers, and at the same time, as an open access repository to publish post-print version of the accepted manuscripts and final versions of open access articles. We collected the data of 1823 articles published by the authors from four different universities. By analyzing these data, we showed that although different levels of full text availability are observed for the four universities, there is always a significant positive correlation between full text availability and the citation count. Moreover, we showed that both post-print version and publisher’s version (i.e., final published version of the archived manuscripts receive more citations than non-OA articles, and the difference in the citation counts of post-print manuscripts and publisher’s version articles is nonsignificant.

Manipulative Use of Short Messaging Service (SMS Text Messages by Nigerian Telecommunications Companies

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Ayoola, Kehinde A.

2014-02-01

Full Text Available This paper is an application of Relevance Theory for the interpretation of short messaging service (SMS text messages emanating from Nigerian telecommunications companies to their subscribers. The aim of the research was to identify and describe the manipulative strategies employed by Nigerian telecommunications companies to induce subscribers to part with their money through sales promotion lotteries. 100 SMS texts were purposively extracted from the cell phones of randomly selected residents of Lagos Nigeria who had received promotional SMS text messages from three major Nigerian telecommunications companies. Using Sperber and Wilson's Relevance Theory (1995 as its theoretical framework, the paper described the manipulative use of SMS by Nigerian telecommunications companies. The analysis revealed that SMS text messages were encoded to achieve maximization of relevance through explicature and implicature; contextual implication and strengthening; and the reduction of processing effort through violating the maxim of truthfulness and the creative use of graphology. The paper concludes that SMS text-messages were used manipulatively by Nigerian telecommunications companies to earn indirect income from sales promotion lottery.

Passage relevance models for genomics search

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Frieder Ophir

2009-03-01

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

[Full-text publication of abstracts presented at the 33th Argentinean pediatric meeting and non publication related factors].

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Canosa, Daniela; Ferrero, Fernando; Melamud, Ariel; Otero, Paula D; Merech, Raúl S; Ceriani Cernadas, José M

2011-02-01

There is no information about non publication of research presented at scientific meetings in Argentina. We analyzed the full-text publication rate of abstracts presented at the 33° Argentinean Pediatric Congress (APC), time to achieve publication, and factors associated with publication or non-publication. Survey-based cross-sectional study, including authors of abstracts presented at the 33° APC. The survey included age, gender, specialty and sub-specialty, professional area and reason of publication or non-publication. We randomly selected 140/894 presented abstracts. Only 16 abstracts (11.4%) were subsequently published in full, requiring 27±15 months. There were no association between full-text publication and author's characteristics. "Oral presentations" were more likely to be subsequently published (p= 0.018). In non published abstracts, 95% were not submitted by the author, more frequently because of "lack of time" (35.9%). Only 11.4% of abstracts were subsequently published in full. Oral presentation was associated with a higher publication rate. Most frequent cause for non-publication was non submission due to lack of time.

Large-scale automatic extraction of side effects associated with targeted anticancer drugs from full-text oncological articles.

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Xu, Rong; Wang, QuanQiu

2015-06-01

Targeted anticancer drugs such as imatinib, trastuzumab and erlotinib dramatically improved treatment outcomes in cancer patients, however, these innovative agents are often associated with unexpected side effects. The pathophysiological mechanisms underlying these side effects are not well understood. The availability of a comprehensive knowledge base of side effects associated with targeted anticancer drugs has the potential to illuminate complex pathways underlying toxicities induced by these innovative drugs. While side effect association knowledge for targeted drugs exists in multiple heterogeneous data sources, published full-text oncological articles represent an important source of pivotal, investigational, and even failed trials in a variety of patient populations. In this study, we present an automatic process to extract targeted anticancer drug-associated side effects (drug-SE pairs) from a large number of high profile full-text oncological articles. We downloaded 13,855 full-text articles from the Journal of Oncology (JCO) published between 1983 and 2013. We developed text classification, relationship extraction, signaling filtering, and signal prioritization algorithms to extract drug-SE pairs from downloaded articles. We extracted a total of 26,264 drug-SE pairs with an average precision of 0.405, a recall of 0.899, and an F1 score of 0.465. We show that side effect knowledge from JCO articles is largely complementary to that from the US Food and Drug Administration (FDA) drug labels. Through integrative correlation analysis, we show that targeted drug-associated side effects positively correlate with their gene targets and disease indications. In conclusion, this unique database that we built from a large number of high-profile oncological articles could facilitate the development of computational models to understand toxic effects associated with targeted anticancer drugs. Copyright © 2015 Elsevier Inc. All rights reserved.

Clinical Relevance of Adipokines

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Matthias Blüher

2012-10-01

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

The LAILAPS Search Engine: Relevance Ranking in Life Science Databases

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Lange Matthias

2010-06-01

Full Text Available Search engines and retrieval systems are popular tools at a life science desktop. The manual inspection of hundreds of database entries, that reflect a life science concept or fact, is a time intensive daily work. Hereby, not the number of query results matters, but the relevance does. In this paper, we present the LAILAPS search engine for life science databases. The concept is to combine a novel feature model for relevance ranking, a machine learning approach to model user relevance profiles, ranking improvement by user feedback tracking and an intuitive and slim web user interface, that estimates relevance rank by tracking user interactions. Queries are formulated as simple keyword lists and will be expanded by synonyms. Supporting a flexible text index and a simple data import format, LAILAPS can easily be used both as search engine for comprehensive integrated life science databases and for small in-house project databases.

Are figure legends sufficient? Evaluating the contribution of associated text to biomedical figure comprehension.

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Yu, Hong; Agarwal, Shashank; Johnston, Mark; Cohen, Aaron

2009-01-06

Biomedical scientists need to access figures to validate research facts and to formulate or to test novel research hypotheses. However, figures are difficult to comprehend without associated text (e.g., figure legend and other reference text). We are developing automated systems to extract the relevant explanatory information along with figures extracted from full text articles. Such systems could be very useful in improving figure retrieval and in reducing the workload of biomedical scientists, who otherwise have to retrieve and read the entire full-text journal article to determine which figures are relevant to their research. As a crucial step, we studied the importance of associated text in biomedical figure comprehension. Twenty subjects evaluated three figure-text combinations: figure+legend, figure+legend+title+abstract, and figure+full-text. Using a Likert scale, each subject scored each figure+text according to the extent to which the subject thought he/she understood the meaning of the figure and the confidence in providing the assigned score. Additionally, each subject entered a free text summary for each figure-text. We identified missing information using indicator words present within the text summaries. Both the Likert scores and the missing information were statistically analyzed for differences among the figure-text types. We also evaluated the quality of text summaries with the text-summarization evaluation method the ROUGE score. Our results showed statistically significant differences in figure comprehension when varying levels of text were provided. When the full-text article is not available, presenting just the figure+legend left biomedical researchers lacking 39-68% of the information about a figure as compared to having complete figure comprehension; adding the title and abstract improved the situation, but still left biomedical researchers missing 30% of the information. When the full-text article is available, figure comprehension

Exploring Culturally Relevant Texts with Kindergartners and Their Families

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

2015-01-01

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

Publication trends of shared decision making in 15 high impact medical journals: a full-text review with bibliometric analysis.

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Blanc, Xavier; Collet, Tinh-Hai; Auer, Reto; Fischer, Roland; Locatelli, Isabella; Iriarte, Pablo; Krause, Jan; Légaré, France; Cornuz, Jacques

2014-08-09

Shared Decision Making (SDM) is increasingly advocated as a model for medical decision making. However, there is still low use of SDM in clinical practice. High impact factor journals might represent an efficient way for its dissemination. We aimed to identify and characterize publication trends of SDM in 15 high impact medical journals. We selected the 15 general and internal medicine journals with the highest impact factor publishing original articles, letters and editorials. We retrieved publications from 1996 to 2011 through the full-text search function on each journal website and abstracted bibliometric data. We included publications of any type containing the phrase "shared decision making" or five other variants in their abstract or full text. These were referred to as SDM publications. A polynomial Poisson regression model with logarithmic link function was used to assess the evolution across the period of the number of SDM publications according to publication characteristics. We identified 1285 SDM publications out of 229,179 publications in 15 journals from 1996 to 2011. The absolute number of SDM publications by journal ranged from 2 to 273 over 16 years. SDM publications increased both in absolute and relative numbers per year, from 46 (0.32% relative to all publications from the 15 journals) in 1996 to 165 (1.17%) in 2011. This growth was exponential (P Full-text search retrieved ten times more SDM publications than a similar PubMed search (1285 vs. 119 respectively). This review in full-text showed that SDM publications increased exponentially in major medical journals from 1996 to 2011. This growth might reflect an increased dissemination of the SDM concept to the medical community.

Heterodox Autonomy Doctrine: realism and purposes, and its relevance

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Raúl Bernal-Meza

2013-12-01

Full Text Available The Autonomy Doctrine, elaborated by Juan Carlos Puig, is a realist point of view of International Relations. It is an analysis, from the periphery, about the structure of world power, and a roadmap (from a theoretical point of view for the longing process of autonomization-regarding hegemonic power-for a country whose ruling class would decide to overcome dependency. The elements its author took into account when analyzing its own context are explained in this text and, afterwards, are reflected over its relevance nowadays. For that purpose, it is necessary to answer certain questions, such as which are the concepts and categories that may explain its relevance, its applicability to regional integration and cooperation models and projects, and what would be the analytical method to compare reality versus ideas, among others. The methodological proposal to analyze the relevance of Puig's doctrine is to compare it to different visions of regionalism that are currently in effect in Latin America.

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

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

2012-10-01

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

Extracting of implicit information in English advertising texts with phonetic and lexical-morphological means

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Traikovskaya Natalya Petrovna

2015-12-01

Full Text Available The article deals with phonetic and lexical-morphological language means participating in the process of extracting implicit information in English-speaking advertising texts for men and women. The functioning of phonetic means of the English language is not the basis for implication of information in advertising texts. Lexical and morphological means play the role of markers of relevant information, playing the role of the activator ofimplicit information in the texts of advertising.

Monolingual accounting dictionaries for EFL text production

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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.

The relevance of segments reports – measurement methodology

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Tomasz Zimnicki

2017-09-01

Full Text Available The segment report is one of the areas of financial statements, and it obliges a company to provide infor-mation about the economic situation in each of its activity areas. The article evaluates the change of segment reporting standards from IAS14R to IFRS8 in the context of feature relevance. It presents the construction of a measure which allows the relevance of segment disclosures to be determined. The created measure was used to study periodical reports published by companies listed on the main market of the Warsaw Stock Exchange from three reporting periods – 2008, 2009 and 2013. Based on the re-search results, it was found that the change of segment reporting standards from IAS14R to IFRS8 in the context of relevance was legitimate.

Full text clustering and relationship network analysis of biomedical publications.

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Guan, Renchu; Yang, Chen; Marchese, Maurizio; Liang, Yanchun; Shi, Xiaohu

2014-01-01

Rapid developments in the biomedical sciences have increased the demand for automatic clustering of biomedical publications. In contrast to current approaches to text clustering, which focus exclusively on the contents of abstracts, a novel method is proposed for clustering and analysis of complete biomedical article texts. To reduce dimensionality, Cosine Coefficient is used on a sub-space of only two vectors, instead of computing the Euclidean distance within the space of all vectors. Then a strategy and algorithm is introduced for Semi-supervised Affinity Propagation (SSAP) to improve analysis efficiency, using biomedical journal names as an evaluation background. Experimental results show that by avoiding high-dimensional sparse matrix computations, SSAP outperforms conventional k-means methods and improves upon the standard Affinity Propagation algorithm. In constructing a directed relationship network and distribution matrix for the clustering results, it can be noted that overlaps in scope and interests among BioMed publications can be easily identified, providing a valuable analytical tool for editors, authors and readers.

The Relevant Physical Trace in Criminal Investigation

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Durdica Hazard

2016-01-01

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

Value Relevance of Accounting Information in the United Arab Emirates

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Jamal Barzegari Khanagha

2011-01-01

Full Text Available This paper examines the value relevance of accounting information in per and post-periods of International Financial Reporting Standards implementation using the regression and portfolio approaches for sample of the UAE companies. The results obtained from a combination of regression and portfolio approaches, show accounting information is value relevant in UAE stock market. A comparison of the results for the periods before and after adoption, based on both regression and portfolio approaches, shows a decline in value relevance of accounting information after the reform in accounting standards. It could be interpreted to mean that following to IFRS in UAE didn’t improve value relevancy of accounting information. However, results based on and portfolio approach shows that cash flows’ incremental information content increased for the post-IFRS period.

Assessing the scientific relevance of a single publication over time

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Philipp A. Bloching

2013-09-01

Full Text Available Quantitatively assessing the scientific relevance of a research paper is challenging for two reasons. Firstly, scientific relevance may change over time, and secondly, it is unclear how to evaluate a recently published paper. The temporally averaged paper-specific impact factor is defined as the yearly average of citations to the paper until now including bonus citations equal to the journal impact factor in the publication year. This new measure subsequently allows relevance rankings and annual updates of all (i.e. both recent and older scientific papers of a department, or even a whole scientific field, on a more objective basis. It can also be used to assess both the average and overall time-dependent scientific relevance of researchers in a specific department or scientific field.

A identidade nacional portuguesa: conteúdo e relevância

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Cabral Manuel Villaverde

2003-01-01

Full Text Available This article discusses the relative merits of the instrumentalist and primordialist theses concerning the roles of the State and the nation in the production of contemporary national identities, as well as presenting a brief genealogy of Portuguese national identity. However, the attempt to anchor this identity in a purported "national character" reveals the reductionism and normative dimension of identitary ideology. The research is thus reoriented towards the relevance of national sentiment in current Portuguese society, observing that this sentiment constitutes a relevant symbolic resource, particularly for purposes of political mobilization.

PaperBLAST: Text Mining Papers for Information about Homologs

International Nuclear Information System (INIS)

Price, Morgan N.; Arkin, Adam P.

2017-01-01

Large-scale genome sequencing has identified millions of protein-coding genes whose function is unknown. Many of these proteins are similar to characterized proteins from other organisms, but much of this information is missing from annotation databases and is hidden in the scientific literature. To make this information accessible, PaperBLAST uses EuropePMC to search the full text of scientific articles for references to genes. PaperBLAST also takes advantage of curated resources (Swiss-Prot, GeneRIF, and EcoCyc) that link protein sequences to scientific articles. PaperBLAST’s database includes over 700,000 scientific articles that mention over 400,000 different proteins. Given a protein of interest, PaperBLAST quickly finds similar proteins that are discussed in the literature and presents snippets of text from relevant articles or from the curators. With the recent explosion of genome sequencing data, there are now millions of uncharacterized proteins. If a scientist becomes interested in one of these proteins, it can be very difficult to find information as to its likely function. Often a protein whose sequence is similar, and which is likely to have a similar function, has been studied already, but this information is not available in any database. To help find articles about similar proteins, PaperBLAST searches the full text of scientific articles for protein identifiers or gene identifiers, and it links these articles to protein sequences. Then, given a protein of interest, it can quickly find similar proteins in its database by using standard software (BLAST), and it can show snippets of text from relevant papers. We hope that PaperBLAST will make it easier for biologists to predict proteins’ functions.

An Evaluation of Relevance of Computing Curricula to Industry Needs

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Ioana Chan Mow

2015-02-01

Full Text Available The research documented in this paper attempted to answer the question of how relevant the content of the Computing courses offered within programs of the Computing Department at the National University of Samoa (NUS were to meet the needs of industry and the workforce. The RINCCII study which was conducted in 2013 to 2014, surveyed 13 institutions and 19 graduates from the Computing programs. Findings from the survey indicated that the current course offerings within the Computing department are relevant to the needs of industry and the workplace. However there are aspects or topics which need inclusion or better coverage. The study also recommended regular surveys to gauge relevance of curricula to needs of industry.

Full text publication rates of research abstracts presented at the European Society of Endodontology (ESE) Congresses in the last 20 years.

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Tzanetakis, G N; Tzimpoulas, N; Floratos, S; Agrafioti, A; Kontakiotis, E G; Shemesh, H

2017-06-26

To evaluate the full-text publication rates of scientific research abstracts presented at the European Society of Endodontology (ESE) Congresses held between 1993 and 2013 (a total of 11 occasions) and to determine factors associated with the manuscripts. An electronic database search was conducted from January 2015 to December 2016 to identify full text English written publications of the research abstracts presented at the last 11 ESE Biennial Congresses from 1993 to 2013. For each occasion, research abstract information were retrieved from the International Endodontic Journal (IEJ) through the official website of the ESE and the following parameters for each abstract presentation were recorded: Year of presentation, first author's affiliation, geographic origin, and type of study. Following full-text article identification, additional information was recorded such as: Year and journal of publication, elapsed time until full publication and number of authors per presentation and publication. A total of 1165 research abstracts were presented, of which 401 (34.4%) were finally published as full-length articles. Overall 235 articles (58.6%) were published either in the International Endodontic Journal (IEJ, 35.7%) or Journal of Endodontics (JOE, 22.9%). The mean time between abstract presentation and full-text publication was 18.95 months. Munich (2001) had the highest publication rate (44%) whereas Lisbon (2013) had the highest number of published articles (77). Turkey was the country with the highest number of published abstracts (56). However, the Netherlands was the country with the highest number of publications related to the number of presentations (21/26) (80.7%). Differences in authorship between presentation and full publication were found in 179 (44.6%) articles. A substantial number of research abstracts presented at ESE congresses were not published in peer reviewed journals. Authors prefer to publish their research papers in international journals with

Inferring relevance in a changing world

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Robert C Wilson

2012-01-01

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

Progress in the Full-Text Publication Rate of Orthopaedic and Sport Physical Therapy Abstracts Presented at the American Physical Therapy Association's Combined Sections Meeting.

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Warden, Stuart J; Fletcher, Jacquelyn M; Barker, Rick G; Guildenbecher, Elizabeth A; Gorkis, Colleen E; Thompson, William R

2017-10-07

Study Design Descriptive study. Background Professional meetings, such as the American Physical Therapy Association's (APTA's) Combined Sections Meeting (CSM), provide forums for sharing information. However, it was reported that only one-quarter of orthopaedic and sports physical therapy abstracts presented at the CSM between 2000 and 2004 went on to full-text publication. This low conversion rate raises a number of concerns regarding the full dissemination of work within the profession. Objectives The purpose of this study was to determine the full-text publication rate of work presented in abstract form at subsequent CSMs and investigate factors influencing the rate. Methods A systematic search was undertaken to locate full-text publications of orthopaedic and sports physical therapy abstracts presented at CSMs between 2005 and 2011. Eligible publications were published within 5 years following abstract presentation. The influences of year of abstract presentation, APTA section, presentation type, institution of origin, study design, and study significance were assessed. Results Over one-third (38.6%) of presented abstracts progressed to full-text publication. Odds of full-text publication increased if the abstract was presented as a platform presentation, originated from a doctorate-granting institution, reported findings of an experimental study, or reported a statistically significant finding. Conclusion The full-text publication rate for orthopaedic and sports physical therapy abstracts presented at recent CSMs has increased by over 50% compared to that reported for the preceding period. The rate is now in the range of that reported in comparable clinical disciplines, demonstrating important progress in the full dissemination of work within the profession. J Orthop Sports Phys Ther, Epub 7 Oct 2017. doi:10.2519/jospt.2018.7581.

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

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

2014-06-01

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

ScienceCentral: open access full-text archive of scientific journals based on Journal Article Tag Suite regardless of their languages.

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Huh, Sun

2013-01-01

ScienceCentral, a free or open access, full-text archive of scientific journal literature at the Korean Federation of Science and Technology Societies, was under test in September 2013. Since it is a Journal Article Tag Suite-based full text database, extensible markup language files of all languages can be presented, according to Unicode Transformation Format 8-bit encoding. It is comparable to PubMed Central: however, there are two distinct differences. First, its scope comprises all science fields; second, it accepts all language journals. Launching ScienceCentral is the first step for free access or open access academic scientific journals of all languages to leap to the world, including scientific journals from Croatia.

Improving Industry-Relevant Nuclear-Knowledge Development through Special Partnerships

International Nuclear Information System (INIS)

Cilliers, A.

2016-01-01

Full text: South African Network for Nuclear Education Science and Technology (SAN NEST) has the objective to develop the nuclear education system in South Africa to a point where suitably qualified and experienced nuclear personnel employed by nuclear science and technology programmes in South Africa are predominantly produced by the South African education system. This is done to strengthen the nuclear science and technology education programmes to better meet future demands in terms of quality, capacity and relevance. To ensure sustainable relevance, it is important to develop special partnerships with industry. This paper describes unique partnerships that were developed with nuclear industry partners. The success of these partnerships has ensured more industry partners to embrace the model which has proven to develop relevant knowledge, support research and provide innovative solutions for industry. (author

Discrepancies between Abstracts Presented at International Association for Dental Research Annual Sessions from 2004 to 2005 and Full-Text Publication.

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Prasad, Soni; Lee, Damian J; Yuan, Judy Chia-Chun; Barao, Valentim A R; Shyamsunder, Nodesh; Sukotjo, Cortino

2012-01-01

Purpose. The purpose of this study was to evaluate the discrepancies between abstracts presented at the IADR meeting (2004-2005) and their full-text publication. Material and Methods. Abstracts from the Prosthodontic Section of IADR meeting were obtained. The following information was collected: abstract title, number of authors, study design, statistical analysis, outcome, and funding source. PubMed was used to identify the full-text publication of the abstracts. The discrepancies between the abstract and the full-text publication were examined, categorized as major and minor discrepancies, and quantified. The data were collected and analyzed using descriptive analysis. Frequency and percentage of major and minor discrepancies were calculated. Results. A total of 109 (95.6%) articles showed changes from their abstracts. Seventy-four (65.0%) and 105 (92.0%) publications had at least one major and one minor discrepancies, respectively. Minor discrepancies were more prevalent (92.0%) than major discrepancies (65.0%). The most common minor discrepancy was observed in the title (80.7%), and most common major discrepancies were seen in results (48.2%). Conclusion. Minor discrepancies were more prevalent than major discrepancies. The data presented in this study may be useful to establish a more comprehensive structured abstract requirement for future meetings.

A Text-Mining Framework for Supporting Systematic Reviews.

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

2016-11-01

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

NAMED ENTITY RECOGNITION FROM BIOMEDICAL TEXT -AN INFORMATION EXTRACTION TASK

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N. Kanya

2016-07-01

Full Text Available Biomedical Text Mining targets the Extraction of significant information from biomedical archives. Bio TM encompasses Information Retrieval (IR and Information Extraction (IE. The Information Retrieval will retrieve the relevant Biomedical Literature documents from the various Repositories like PubMed, MedLine etc., based on a search query. The IR Process ends up with the generation of corpus with the relevant document retrieved from the Publication databases based on the query. The IE task includes the process of Preprocessing of the document, Named Entity Recognition (NER from the documents and Relationship Extraction. This process includes Natural Language Processing, Data Mining techniques and machine Language algorithm. The preprocessing task includes tokenization, stop word Removal, shallow parsing, and Parts-Of-Speech tagging. NER phase involves recognition of well-defined objects such as genes, proteins or cell-lines etc. This process leads to the next phase that is extraction of relationships (IE. The work was based on machine learning algorithm Conditional Random Field (CRF.

Arabic Text Categorization Using Improved k-Nearest neighbour Algorithm

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Wail Hamood KHALED

2014-10-01

Full Text Available The quantity of text information published in Arabic language on the net requires the implementation of effective techniques for the extraction and classifying of relevant information contained in large corpus of texts. In this paper we presented an implementation of an enhanced k-NN Arabic text classifier. We apply the traditional k-NN and Naive Bayes from Weka Toolkit for comparison purpose. Our proposed modified k-NN algorithm features an improved decision rule to skip the classes that are less similar and identify the right class from k nearest neighbours which increases the accuracy. The study evaluates the improved decision rule technique using the standard of recall, precision and f-measure as the basis of comparison. We concluded that the effectiveness of the proposed classifier is promising and outperforms the classical k-NN classifier.

PENGARUH UKURAN KAP DAN AUDITOR TENURE TERHADAP VALUE RELEVANCE DARI NILAI WAJAR

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Taufik Hidayat

2012-12-01

Full Text Available This study examines the value relevance of fair value and whether the value relevance of fair value measured at quoted active market is higher than value measured at valuation techniques. We also examine whether the value relevance offair value with valuation techniques improves if auditor tenure is longer or financial statements are audited by a Big Four Firm. Hypothesis testing was conducted by a panel data based on model of Ohlson (1995. Using a sample of 147 companies listed on the Indonesia Stock Exchange from 2008-2011, resulting the general conclusion that fair value has value relevance, where the value relevance of fair value measured at quoted active market is higher than the valuation technique. Value relevance of fair value measured at valuation techniques will increase as auditor tenure increases or financial statements were audited by a Big Four Firm.

Control-relevant modeling and simulation of a SOFC-GT hybrid system

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Rambabu Kandepu

2006-07-01

Full Text Available In this paper, control-relevant models of the most important components in a SOFC-GT hybrid system are described. Dynamic simulations are performed on the overall hybrid system. The model is used to develop a simple control structure, but the simulations show that more elaborate control is needed.

DECISION USEFULNESS: TRADE-OFF ANTARA RELIABILITY DAN RELEVANCE

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AGUS INDRA TENAYA

2007-07-01

Full Text Available The purpose of this article is to search for trade-off solution betweenreliability and relevance. Approach that can be used to have more reliable andrelevant financial statement is decision usefulness. This approach suggests thatfinancial statement must be useful to become a base of investors’ decision making.The change function of financial statement from just a tool of responsibility tobecome a tool of decision making has caused historical cost-based financialstatement could not be used to predict future value of a firm. This problem couldbe solved by presenting full disclosure of financial statement. Discussion sessionshows that full disclosure results in more useful and reliable accountinginformation to be used in decision making process of various users.

PaperBLAST: Text Mining Papers for Information about Homologs.

Science.gov (United States)

Price, Morgan N; Arkin, Adam P

2017-01-01

Large-scale genome sequencing has identified millions of protein-coding genes whose function is unknown. Many of these proteins are similar to characterized proteins from other organisms, but much of this information is missing from annotation databases and is hidden in the scientific literature. To make this information accessible, PaperBLAST uses EuropePMC to search the full text of scientific articles for references to genes. PaperBLAST also takes advantage of curated resources (Swiss-Prot, GeneRIF, and EcoCyc) that link protein sequences to scientific articles. PaperBLAST's database includes over 700,000 scientific articles that mention over 400,000 different proteins. Given a protein of interest, PaperBLAST quickly finds similar proteins that are discussed in the literature and presents snippets of text from relevant articles or from the curators. PaperBLAST is available at http://papers.genomics.lbl.gov/. IMPORTANCE With the recent explosion of genome sequencing data, there are now millions of uncharacterized proteins. If a scientist becomes interested in one of these proteins, it can be very difficult to find information as to its likely function. Often a protein whose sequence is similar, and which is likely to have a similar function, has been studied already, but this information is not available in any database. To help find articles about similar proteins, PaperBLAST searches the full text of scientific articles for protein identifiers or gene identifiers, and it links these articles to protein sequences. Then, given a protein of interest, it can quickly find similar proteins in its database by using standard software (BLAST), and it can show snippets of text from relevant papers. We hope that PaperBLAST will make it easier for biologists to predict proteins' functions.

Full-text publication of abstracts presented at meetings of a Latin American scientific society.

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Dicembrino, Manuela; Anderson, Mariana; Vely, Ana Gabriela; Ossorio, María Fabiana; Ferrero, Fernando

2014-12-01

To estimate the proportion of abstracts presented at meetings of the Latin American Society for Pediatric Research that are fully-published, to describe the reasons for not publishing papers, and to assess the impact of funding on the publication rate. Abstracts presented at meetings held between 2005 and 2009 were included. Authors were contacted and invited to take a survey on the publication of their work or the reasons not to do it. Information was collected on 232 (71.4%) of the 325 abstracts presented. Of these, 58.6% were fully-published (136/232). Funded studies (40.0%) had more chances of publication (OR: 2.2; 95% CI: 1.2-3.9). "Lack of time" was the most common reason for failure to publish (35/96). 58.6% of abstracts presented at meetings of the Latin American Society for Pediatric Research, were published as full-text articles; lack of time was the most common reason for failure to publish. Funded research had more chances of being published.

Microdosing: Concept, application and relevance

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Tushar Tewari

2010-01-01

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

Mining protein function from text using term-based support vector machines

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Rice, Simon B; Nenadic, Goran; Stapley, Benjamin J

2005-01-01

Background Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We participated in Task 2, which addressed assigning Gene Ontology terms to human proteins and selecting relevant evidence from full-text documents. We approached it as a modified form of the document classification task. We used a supervised machine-learning approach (based on support vector machines) to assign protein function and select passages that support the assignments. As classification features, we used a protein's co-occurring terms that were automatically extracted from documents. Results The results evaluated by curators were modest, and quite variable for different problems: in many cases we have relatively good assignment of GO terms to proteins, but the selected supporting text was typically non-relevant (precision spanning from 3% to 50%). The method appears to work best when a substantial set of relevant documents is obtained, while it works poorly on single documents and/or short passages. The initial results suggest that our approach can also mine annotations from text even when an explicit statement relating a protein to a GO term is absent. Conclusion A machine learning approach to mining protein function predictions from text can yield good performance only if sufficient training data is available, and significant amount of supporting data is used for prediction. The most promising results are for combined document retrieval and GO term assignment, which calls for the integration of methods developed in BioCreAtIvE Task 1 and Task 2. PMID:15960835

THE STUDENTS’ PERCEPTIONS OF AUTHENTIC TEXTS-BASED TRANSLATION

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Rusiana .

2017-12-01

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

The Dayton Agenda: Full Text

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Journal of Research on Christian Education, 2009

2009-01-01

In November 1997, 140 researchers, administrators, and others interested in the support of nonpublic schools gathered at the University of Dayton to develop a research agenda for American private education. What developed over the several hours of intense sessions was an agenda that has given direction to researchers well into the 21st century.…

A corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools.

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Verspoor, Karin; Cohen, Kevin Bretonnel; Lanfranchi, Arrick; Warner, Colin; Johnson, Helen L; Roeder, Christophe; Choi, Jinho D; Funk, Christopher; Malenkiy, Yuriy; Eckert, Miriam; Xue, Nianwen; Baumgartner, William A; Bada, Michael; Palmer, Martha; Hunter, Lawrence E

2012-08-17

We introduce the linguistic annotation of a corpus of 97 full-text biomedical publications, known as the Colorado Richly Annotated Full Text (CRAFT) corpus. We further assess the performance of existing tools for performing sentence splitting, tokenization, syntactic parsing, and named entity recognition on this corpus. Many biomedical natural language processing systems demonstrated large differences between their previously published results and their performance on the CRAFT corpus when tested with the publicly available models or rule sets. Trainable systems differed widely with respect to their ability to build high-performing models based on this data. The finding that some systems were able to train high-performing models based on this corpus is additional evidence, beyond high inter-annotator agreement, that the quality of the CRAFT corpus is high. The overall poor performance of various systems indicates that considerable work needs to be done to enable natural language processing systems to work well when the input is full-text journal articles. The CRAFT corpus provides a valuable resource to the biomedical natural language processing community for evaluation and training of new models for biomedical full text publications.

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

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Anika Oellrich

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

Functionally relevant microorganisms to enhanced biological phosphorus removal performance at full-scale wastewater treatment plants in the United States.

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Gu, April Z; Saunders, A; Neethling, J B; Stensel, H D; Blackall, L L

2008-08-01

The abundance and relevance ofAccumulibacter phosphatis (presumed to be polyphosphate-accumulating organisms [PAOs]), Competibacter phosphatis (presumed to be glycogen-accumulating organisms [GAOs]), and tetrad-forming organisms (TFOs) to phosphorus removal performance at six full-scale enhanced biological phosphorus removal (EBPR) wastewater treatment plants were investigated. Coexistence of various levels of candidate PAOs and GAOs were found at these facilities. Accumulibacter were found to be 5 to 20% of the total bacterial population, and Competibacter were 0 to 20% of the total bacteria population. The TFO abundance varied from nondetectable to dominant. Anaerobic phosphorus (P) release to acetate uptake ratios (P(rel)/HAc(up)) obtained from bench tests were correlated positively with the abundance ratio of Accumulibacter/(Competibacter +TFOs) and negatively with the abundance of (Competibacter +TFOs) for all plants except one, suggesting the relevance of these candidate organisms to EBPR processes. However, effluent phosphorus concentration, amount of phosphorus removed, and process stability in an EBPR system were not directly related to high PAO abundance or mutually exclusive with a high GAO fraction. The plant that had the lowest average effluent phosphorus and highest stability rating had the lowest P(rel)/HAc(up) and the most TFOs. Evaluation of full-scale EBPR performance data indicated that low effluent phosphorus concentration and high process stability are positively correlated with the influent readily biodegradable chemical oxygen demand-to-phosphorus ratio. A system-level carbon-distribution-based conceptual model is proposed for capturing the dynamic competition between PAOs and GAOs and their effect on an EBPR process, and the results from this study seem to support the model hypothesis.

BioC-compatible full-text passage detection for protein-protein interactions using extended dependency graph.

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Peng, Yifan; Arighi, Cecilia; Wu, Cathy H; Vijay-Shanker, K

2016-01-01

There has been a large growth in the number of biomedical publications that report experimental results. Many of these results concern detection of protein-protein interactions (PPI). In BioCreative V, we participated in the BioC task and developed a PPI system to detect text passages with PPIs in the full-text articles. By adopting the BioC format, the output of the system can be seamlessly added to the biocuration pipeline with little effort required for the system integration. A distinctive feature of our PPI system is that it utilizes extended dependency graph, an intermediate level of representation that attempts to abstract away syntactic variations in text. As a result, we are able to use only a limited set of rules to extract PPI pairs in the sentences, and additional rules to detect additional passages for PPI pairs. For evaluation, we used the 95 articles that were provided for the BioC annotation task. We retrieved the unique PPIs from the BioGRID database for these articles and show that our system achieves a recall of 83.5%. In order to evaluate the detection of passages with PPIs, we further annotated Abstract and Results sections of 20 documents from the dataset and show that an f-value of 80.5% was obtained. To evaluate the generalizability of the system, we also conducted experiments on AIMed, a well-known PPI corpus. We achieved an f-value of 76.1% for sentence detection and an f-value of 64.7% for unique PPI detection.Database URL: http://proteininformationresource.org/iprolink/corpora. © The Author(s) 2016. Published by Oxford University Press.

Underdevelopment in contemporary world:is structuralism still relevant?

Directory of Open Access Journals (Sweden)

ADEMIR PEDRO VILAÇA JUNIOR

Full Text Available ABSTRACT This paper intends to evaluate if the Latin American structuralist approach is still relevant to understand capital accumulation dynamics of peripheral countries and their insertion in the global value chains. It’s a theoretical paper that strives to improve the building blocks of structuralism with the incorporation of elements from different approaches to establish a nexus to understand capital accumulation dynamics in the periphery. Considering the relevance of technological accumulation, its impacts over the productive structure and over the international insertion, we strive to analyze factors that perpetuate income diversion in relation to the center. Under this perspective, we conclude that the particularities of peripheral economies changed their form of manifestation without effectively overcome the dependence relation.

Instant Sublime Text starter

CERN Document Server

Haughee, Eric

2013-01-01

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

The value relevance of environmental emissions

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Melinda Lydia Nelwan

2016-07-01

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

Categorising Resources of Historical Memory in Researching Publicistic Text

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Konyk Anastasiya

2016-12-01

Full Text Available The article focuses on the allocation and analysis of the main resources of historical memory which are considered as peculiar indicators for studying publicist content and conceptual reading of discourses of historical memory in contemporary publications. It is relevant insofar as researching the use and intensification of these or other resources of historical memory allows us to observe changes in world landmarks, socio-political moods, ideological references and temperament and the dynamics of re-interpretation of historical facts and events by authors.

Analysis of full-text publication and publishing predictors of abstracts presented at an Italian public health meeting (2005-2007).

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Castaldi, S; Giacometti, M; Toigo, W; Bert, F; Siliquini, R

2015-09-29

In Public Health, a thorough review of abstract quality evaluations and the publication history of studies presented at scientific meetings has never been conducted. To analyse the long-term outcome of quality abstracts submitted to conferences of Italian Society of Hygiene and Public Health (SItI) from 2005 to 2007, we conducted a second analysis of previously published material aiming to estimate full-text publication rate of high quality abstract presented at Italian public health meetings, and to identify predictors of full-text publication. The search was undertaken through scientific databases and search engines and through the web sites of the major Italian journals of Public Health. For each publication confirmed as a full text paper, the journal name, impact factor, year of publication, gender of the first author, type of study design, characteristics of the results and sample size were collected. The overall publication rate of the abstracts presented is 23.5%; most of the papers were published in Public Health journals (average impact factor: 3.007). Non universitary affiliation had resulted in a lower probability of publication, while some of the Conference topics had predisposed the studies to an increased likelihood of publication as well as poster form presentation. The method presented in this study provides a good framework for the evaluation of the scientific evidence. The findings achieved should be taken into consideration by the Scientific Societies during the contributions selection phase, with the aim of achieving a continuous improvement of work quality. In the future, it would be interesting to survey the abstract authors to identify reasons for unpublished data.

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

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Hamilton, Nancy Jo

2012-01-01

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

Incorporating other texts: Intertextuality in Malaysian CSR reports

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Kumaran Rajandran

2016-11-01

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

Relevance as process: judgements in the context of scholarly research

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Theresa D. Anderson

2005-01-01

Full Text Available Introduction. This paper discusses how exploring the research process in-depth and over time contributes to a fuller understanding of interactions with various representations of information. Method. A longitudinal ethnographic study explored decisions made by two informants involved in scholarly research. Relevance assessment and information seeking were observed as part of informants' own ongoing research projects. Fieldwork used methods of discovery that allowed informants to shape the exploration of the practices surrounding the evolving understandings of their topics. Analysis. Inductive analysis was carried out on the qualitative data collected over a two-year period of judgements observed on a document-by-document basis. The paper introduces broad categories that point to the variability and richness of the ways that informants used representations of information resources to make relevance judgements. Results. Relevance judgements appear to be drivers of the search and research processes informants moved through during the observations. Focusing on research goals rather than on retrieval tasks brings us to a fuller understanding of the relationship between ultimate research goals and the articulation of those goals in interactions with information systems. Conclusion. Relevance assessment is a process that unfolds in the doing of a search, the making of judgements and the using of texts and representations of information.

VALUE RELEVANCE DAN IFRS ADOPTION DI INDONESIA: INVESTIGASI PADA PERUSAHAAN LQ-45 BURSA EFEK INDONESIA

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Triandi ,

2017-02-01

Full Text Available Value relevance is being defined as the ability of information disclosed by financial statements to capture and summarize firm value. earnings per share (EPS and book value of shares (BVS and stock market price (SMP, both before and after IFRS adoption. Based on theresult,test there the valuerelevancebefore and after IFRS adoptio. The value relevance after IFRS adoption decreased. These findings differ from the findings in several countries have adopted IFRS. In many countries have adopted IFRS tends to increase the value relevance. Keyword : value relevance, earning per share, book value of equity, stock price, IFRS adoption, LQ-45

A Customizable Text Classifier for Text Mining

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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.

The text-critical and exegetical value of the Dead Sea Scrolls

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Johann Cook

2016-07-01

Full Text Available This article will analyse a number of Dead Sea manuscripts and/or fragments in order to determine their linguistic and exegetical value. The article will, firstly, address textual material that is largely in agreement with the Massoretic Text – 1QIsaa is a case in point. Secondly, fragmentsthat are seemingly less relevant will be discussed. The less helpful fragments from the Biblical books Proverbs and Job are taken as examples. Finally, highly significant textual differences, such as a fragment from Genesis 1 and one from the complicated books of Jeremiah, will be evaluated.

Strategic approach to branding of nations: Relevancy for Serbia

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Rakita Branko

2009-01-01

Full Text Available Building and managing brands becomes very important marketing tool in nowadays business. Branding is being pulled out from a strictly marketing area and becomes business component of a strategic importance. It is applying to products, services, companies, but also to events, people, ideas, institutions, destinations. Basically, almost everything can be branded. The subject of this paper is strategic approach to branding of nations. The paper contains review of relevant literature for the topic. Specifics of this type of branding have been analyzed. Detailed concept of strategic approach to branding of nations is a vital part of the paper. Relevancy of strategic approach to branding for Serbia is discussed at the end.

Full text publication rates of papers presented at the British Foot and Ankle Society.

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Marsland, D; Mumith, A; Taylor, H P

2017-07-13

Techniques in foot and ankle surgery have expanded rapidly in recent years, often presented at national society meetings. It is important that research is published to guide evidence based practice. Many abstracts however do not go on to full text publication. A database was created of all abstracts presented at BOFAS meetings from 2009 to 2013. Computerised searches were performed using PubMed and Google search engines. In total 341 papers were presented, with an overall publication rate of 31.7%. Of 251 clinical papers, 200 were case series (79.6%). Factors associated with publication success included basic science studies, papers related to arthroscopic surgery and research performed outside the UK. A relatively low conversion rate from presentation to publication could be as a result of papers failing to pass the scrutiny of peer review, or that the work is never formally submitted for publication. The information from this study could be used to prioritise future research and promote higher quality research. Copyright © 2017 European Foot and Ankle Society. Published by Elsevier Ltd. All rights reserved.

Factors Affecting Subsequent Full-text Publication of Papers Presented at the Annual Conference of the Indian Academy of Pediatrics.

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Khalil, Sumaira; Mishra, Devendra; Mishra, Ruchi; Gupta, Shalu

2017-02-15

To study the factors associated with the subsequent (over next 9 years) full-text publication of papers presented at the 44th National Conference of Indian Academy of Pediatrics (PEDICON), 2007. All papers presented at PEDICON 2007 were searched for subsequent full-text publication over the next 9 years in English-language journals by an internet-based search. The published papers were compared with the conference-abstracts. 74 (16%) of the 450 abstracts presented were subsequently published; 61 (82.4%) in Medline-indexed journals. Majority (50, 67.6%) of the papers was published within the first 36 mo in journals with mean (SD) impact factor of 2.62 (1.63). The factors significantly associated with subsequent publication were papers presented as award papers (Pfull-papers, 55% had a change in title; authors were changed in 65%, and participants' numbers were dissimilar in 8.6%. There is a need to identify the factors responsible for this low rate of subsequent publication, and interventions to improve it both at institutional and researchers' level.

Text mining for the biocuration workflow.

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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.

Text mining for the biocuration workflow

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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

The Value Relevance of IFRS: The Case of Turkey

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Ahmet Turel

2009-10-01

Full Text Available Accounting standards that are mostly compatible with International Financial Reporting Standards (IFRS are required for consolidatedfinancial statements of all Turkish listed firms starting from 2005 fiscal year end. Before that, financial reporting in Turkey was closely related to taxreporting. Until 2003, all Turkish listed firms were preparing their financial statements in accordance with the local standards issued by the CapitalMarket Board of Turkey. In this study, I examine the relative and incremental value relevance of earnings and the book value of equity under CapitalMarket Board (CMB Accounting Standards (2001-2002 and under IFRS (2005-2006 for Turkish listed firms. I compare these two periods toinvestigate whether the mandatory adoption of IFRS increase relevance of earnings and book value of equity which are accepted as proxies ofaccounting quality. I find evidence that the value relevance of earnings and book value of equity has increased significantly after adopting IFRS. Inaddition, I find that the incremental value relevance of earnings increased between the CMB accounting standards period and the IFRS period.However, the incremental value relevance of book value of equity degreased in the same period.

The Effect of Different Modes of English Captioning on EFL learners’ General Listening Comprehension: Full text Vs. Keyword Captions

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Sorayya Behroozizad

2015-08-01

Full Text Available This study investigated the effect of different modes of English captioning on EFL learners’ general listening comprehension. To this end, forty five intermediate-level learners were selected based on their scores on a standardized English proficiency test (PET to carry out the study. Then, the selected participants were randomly assigned into two experimental groups (full-captions and keyword-captions and one control group (no-captions. Research instrumentation included a pre-test and a post-test following an experimental design. Participants took a pre-test and a post-test containing 50 multiple-choice questions (25question for pre-test and 25 question for post-test selected from a standard listening test PET, and also 15 treatment sessions. The findings showed significant differences among full-captions, keyword-captions, and no-captions in terms of their effect on learners’ general listening comprehension. This study provided some pedagogical implications for teaching listening through using different modes of captions. Keywords: Caption, full caption, keyword caption, listening comprehension

SELECT COMPANY BUSINESS STRATEGIES IN FULL OF UNCERTAINTY

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Mikhail N. Konotopov

2013-01-01

Full Text Available This article proposes an approach to the choice of the business strategies of the company in the conditions of complete market demand uncertainty. It is based on using the so-called strategic statistical games - market becomes the first player and the head of the organization, receiving the administrative decision, the second. Formed matrix losses of the company, the relevant combinations of possible states of a market demand and selected business strategies. To select the optimal business strategies, corresponding to the concrete possibilities of the company, Wald, Savage and Hurwitz rules are used.

Value Relevance of Investment Properties: Evidence from the Brazilian Capital Market

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Ketlyn Alves Gonçalves

2017-04-01

Full Text Available This study investigates the relevance to the capital market of the assets recognized as investment properties of companies listed on the BM&F BOVESPA, in the period from 2011 to 2014. The research conducted was based on the Ohlson model (1995 and panel analysis was carried out using linear regression with POLS and Fixed and Random Effects estimators. Two hypothesis were made: (i that Earning and Equity generate accounting information relevant to investors; and (2 that Earning, Equity and Investment Property generate accounting information relevant to investors, assuming that investment properties have incremental effect on the relevance of this information relative only to earning and to equity. Both hypotheses were rejected, so it is concluded that Investment Property assets are not of value relevance in the determination of share price and do not influence the decision making of users of accounting information. The study adds to the limited literature on the value relevance of Investment Property, permitting a better understanding of the impact of accounting disclosures used by companies on their market value.

Attentional Capture and Inhibition of Saccades after Irrelevant and Relevant Cues

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Heinz-Werner Priess

2014-01-01

Full Text Available Attentional capture is usually stronger for task-relevant than irrelevant stimuli, whereas irrelevant stimuli can trigger equal or even stronger amounts of inhibition than relevant stimuli. Capture and inhibition, however, are typically assessed in separate trials, leaving it open whether or not inhibition of irrelevant stimuli is a consequence of preceding attentional capture by the same stimuli or whether inhibition is the only response to these stimuli. Here, we tested the relationship between capture and inhibition in a setup allowing for estimates of the capture and inhibition based on the very same trials. We recorded saccadic inhibition after relevant and irrelevant stimuli. At the same time, we recorded the N2pc, an event-related potential, reflecting initial capture of attention. We found attentional capture not only for, relevant but importantly also for irrelevant stimuli, although the N2pc was stronger for relevant than irrelevant stimuli. In addition, inhibition of saccades was the same for relevant and irrelevant stimuli. We conclude with a discussion of the mechanisms that are responsible for these effects.

Classifying Written Texts Through Rhythmic Features

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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

Indexation automatique des textes arabes : état de l’art

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Mohamed Salim El Bazzi

2016-11-01

Full Text Available Document indexing is a crucial step in the text mining process. It is used to represent documents by the most relevant descriptors of their contents. Several approaches are proposed in the literature, particularly for English, but they are unusable for Arabic documents, considering its specific characteristics and its morphological complexity, grammar and vocabulary. In this paper, we present a reading in the state of the art of indexation methods and their contribution to improve Arabic document’s processing. We also propose a categorization of works according to the most used approaches and methods for indexing textual documents. We adopted a qualitative selection of papers and we retained papers approving notable indexation contributions and illustrating significant results

STYLISTIC FEATURES OF ADVERTISING TEXTS OF INFORMATIVE AND COMPARATIVE TYPES

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Poddubskaya, O.N.

2016-06-01

Full Text Available The relevance of this article is related to the fact that nowadays advertising has a very strong impact both on the consumer market, political and cultural life of society, and on the language and its development as a system. Advertising has given rise to the development of a special set of stylistic features of a text, formed under the influence of reviving advertising traditions in the Russian language and under the active impact of energetic and pushy European advertising. The purpose of this study is to explore stylistic features of informative and comparative advertising texts. The object of research is Russian-language advertising in printed media and on television. In the end of the article we made conclusions about groups of language means used for different stylistic devices in informative and comparative advertising texts. Analysis of stylistic features of modern informative and comparative advertising texts can be of great interest to specialists in the field of theoretical studies of modern advertising.

The Relevance of Causal Social Construction

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Marques Teresa

2017-02-01

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

Valerian: No Evidence for Clinically Relevant Interactions

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Olaf Kelber

2014-01-01

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

Determination of the relevant market as a criterion of assessment of concentration effects in the practice of antitrust authorities

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Daria Kostecka-Jurczyk

2012-12-01

Full Text Available Determining the relevant market is the first and the most important step in antimonopoly proceedings due to the fact that the market position of an enterprise is always determined from the relevant market perspective. In respect of mergers, establishing the relevant market is essential in analysing whether the aim of the concentration is to distort and limit competition on the market. The author of the article focuses on describing methods for determining the relevant market applied by antimonopoly authorities.

A comparison of the accuracy of clinical decisions based on full-text articles and on journal abstracts alone: a study among residents in a tertiary care hospital.

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Marcelo, Alvin; Gavino, Alex; Isip-Tan, Iris Thiele; Apostol-Nicodemus, Leilanie; Mesa-Gaerlan, Faith Joan; Firaza, Paul Nimrod; Faustorilla, John Francis; Callaghan, Fiona M; Fontelo, Paul

2013-04-01

Many clinicians depend solely on journal abstracts to guide clinical decisions. This study aims to determine if there are differences in the accuracy of responses to simulated cases between resident physicians provided with an abstract only and those with full-text articles. It also attempts to describe their information-seeking behaviour. Seventy-seven resident physicians from four specialty departments of a tertiary care hospital completed a paper-based questionnaire with clinical simulation cases, then randomly assigned to two intervention groups-access to abstracts-only and access to both abstracts and full-text. While having access to medical literature, they completed an online version of the same questionnaire. The average improvement across departments was not significantly different between the abstracts-only group and the full-text group (p=0.44), but when accounting for an interaction between intervention and department, the effect was significant (p=0.049) with improvement greater with full-text in the surgery department. Overall, the accuracy of responses was greater after the provision of either abstracts-only or full-text (pfull-text articles were more accurate than those guided by abstracts alone, but the results seem to be driven by a significant difference in one department.

Opposing Subjective Temporal Experiences in Response to Unpredictable and Predictable Fear-Relevant Stimuli

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Qian Cui

2018-03-01

Full Text Available Previous studies have found that the durations of fear-relevant stimuli were overestimated compared to those of neutral stimuli, even when the fear-relevant stimuli were only anticipated. The current study aimed to investigate the effect of the predictability of fear-relevant stimuli on sub-second temporal estimations. In Experiments 1a and 1b, a randomized design was employed to render the emotional valence of each trial unpredictable. In Experiments 2a and 2b, we incorporated a block design and a cueing paradigm, respectively, to render the emotional stimuli predictable. Compared with the neutral condition, the estimated blank interval was judged as being shorter under the unpredictable fear-relevant condition, while it was judged as being longer under the predictable fear-relevant condition. In other words, the unpredictable and predictable fear-relevant stimuli led to opposing temporal distortions. These results demonstrated that emotions modulate interval perception during different time processing stages.

Fuzzy Mutual Information Based min-Redundancy and Max-Relevance Heterogeneous Feature Selection

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Daren Yu

2011-08-01

Full Text Available Feature selection is an important preprocessing step in pattern classification and machine learning, and mutual information is widely used to measure relevance between features and decision. However, it is difficult to directly calculate relevance between continuous or fuzzy features using mutual information. In this paper we introduce the fuzzy information entropy and fuzzy mutual information for computing relevance between numerical or fuzzy features and decision. The relationship between fuzzy information entropy and differential entropy is also discussed. Moreover, we combine fuzzy mutual information with qmin-Redundancy-Max-Relevanceq, qMax-Dependencyq and min-Redundancy-Max-Dependencyq algorithms. The performance and stability of the proposed algorithms are tested on benchmark data sets. Experimental results show the proposed algorithms are effective and stable.

Text Structure and Retention of Prose.

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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)

THE CURRENT STATE OF KNOWLEDGE IN THE VALUE RELEVANCE RESEARCH FIELD

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Carmen- Alexandra BALTARIU

2015-04-01

Full Text Available The purpose of this paper is to assess the scientific literature referring to the value relevance of reported accounting information over a twelve year period starting from 2002. The approach of the paper is a theoretical (conceptual one. In order to complete the purpose of the paper we selected as research method the longitudinal qualitative analysis. The qualitative analysis carried out presents a deductive character. Our conclusions regarding the general characteristics of the research field pertaining to the value relevance of reported accounting information are drawn based on the main results and scientific contributions identified in the research field of interest.

BUILDING EDGE DETECTION USING SMALL-FOOTPRINT AIRBORNE FULL-WAVEFORM LIDAR DATA

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J.-C. Michelin

2012-07-01

Full Text Available The full-waveform lidar technology allows a complete access to the information related to the emitted and backscattered laser signals. Although most of the common applications of full-waveform lidar are currently dedicated to the study of forested areas, some recent studies have shown that airborne full-waveform data is relevant for urban area analysis. We extend the field to pattern recognition with a focus on retrieval. Our proposed approach combines two steps. In a first time, building edges are coarsely extracted. Then, a physical model based on the lidar equation is used to retrieve a more accurate position of the estimated edge than the size of the lidar footprint. Another consequence is the estimation of more accurate planimetric positions of the extracted echoes.

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

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Grant, Gloria W.

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

Using the Characteristics of Documents, Users and Tasks to Predict the Situational Relevance of Health Web Documents

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Melinda Oroszlányová

2017-09-01

Full Text Available Relevance is usually estimated by search engines using document content, disregarding the user behind the search and the characteristics of the task. In this work, we look at relevance as framed in a situational context, calling it situational relevance, and analyze whether it is possible to predict it using documents, users and tasks characteristics. Using an existing dataset composed of health web documents, relevance judgments for information needs, user and task characteristics, we build a multivariate prediction model for situational relevance. Our model has an accuracy of 77.17%. Our findings provide insights into features that could improve the estimation of relevance by search engines, helping to conciliate the systemic and situational views of relevance. In a near future we will work on the automatic assessment of document, user and task characteristics.

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

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

2015-03-27

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

INVESTIGATING TEACHERS’ PROFESSIONAL COMPETENCE: A SYSTEMIC FUNCTIONAL LINGUISTIC ANALYSIS OF TEACHERS’ REPORT TEXTS

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Sudarsono M. I. Sudarsono

2017-05-01

Full Text Available This research aims at observing the teachers’ professional competence by investigating the report texts written by three English teachers in a junior high school in terms of their schematic structures and linguistic features. To achieve this aim, a qualitative case study design involving analysis of English teachers’ report texts and interviews with these English teachers was employed in this research. The results of this research showed that generally the three English teachers have demonstrated sufficient ability in applying appropriate schematic structures and linguistic features relevant to the criteria of a report text. However, the results of this research also indicate that some improvements in understanding and writing a report text, especially in terms of schematic structure, linguistic features, and theme progressions, are needed to enhance the teachers’ subject matter content knowledge about report text.

Fate of abstracts presented at a National Turkish Orthopedics and Traumatology Congress: publication rates and consistency of abstracts compared with their subsequent full-text publications.

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Yalçınkaya, Merter; Bagatur, Erdem

2013-01-01

The aim of this study was to evaluate the publication rates of full-text articles after presentation of abstracts at a Turkish National Orthopaedics and Traumatology Congress, determine the time lag from the congress date to publication of full-text articles and assess the consistency between abstracts and the subsequent publications. All abstracts from the scientific program of the 20th Turkish National Orthopaedics and Traumatology Congress (2007) were identified and computerized PubMed searches were conducted to determine whether an abstract had been followed by publication of a full-text article and key features were compared to evaluate their consistency. The time lag to publication and the impact factors of the journals where the articles were published were noted. Of the 770 abstracts (264 oral, 506 poster presentations), 227 (29.5%) were followed by a full-text and 116 (44%) of the 264 oral and 111 (22%) of the 506 poster presentations were published. The mean time to publication was 14.9±16.075 (range: 33 to 55) months. Thirty-three (14.5%) were published prior to the presentation at the congress. The likelihood of publication decreased after the third year (26 of 227, 11.5%). A total of 182 (80.2%) articles showed inconsistencies with the abstract; 74 (32.6%) minor, 14 (6.2%) major, and 94 (41.4%) minor and major inconsistencies. The mean impact factor of the journals was 1.152±0.858. The vast majority of abstracts presented at this congress were not followed by publication of a full-text article. Additionally, frequent inconsistencies between the final published article and the original abstract indicated the inadequacy of quality of reporting in abstracts.

Creativity-Relevant Personal Characteristics among Indonesia Creative Workers

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Nugroho J. Setiadi

2014-09-01

Full Text Available The study aims to identify Creativity-relevant Personal Characteristics among creative workers in Indonesia’s creative industry. Identification of the constituent elements of the nature of the changes needs to be measured. Researchers have advocated replacing creativity-relevant personal characteristics based on the five-factor model to investigate how individual differences stimulate creativity. This study presents data supporting reliability (internal consistency and validity (criterion and construct of the instrument. Validity of the instrument is based on the content validity involving art and design experts. The 220 creative workers from several creative industry firms in Indonesia participated as samples in this research. Results of a factor analysis indicated a five factor solution of creative characteristics and behavior. Discussion of findings and the most important ways in which individuals differ in their enduring emotional, interpersonal, experiential, attitudinal, and motivational styles for stimulating creativity are presented.

Analyzing the positioning of political competitors on relevant policy conflict dimensions within the 2014 EU Europarliamentary elections

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Todor Arpad

2014-11-01

Full Text Available In this paper I analyze the positioning of Romanian political competitor for the European elections 2014 on most relevant dimensions of political conflict relevant to all European Union member countries. I analyze the political programs of the Romanian political parties realized within the euandi project. Even though not all dimensions are considered relevant in the context of political debate in Romania, the mapping provides a detailed picture of the current positioning of the main political competitors in the context of breaking USL and the creation of a new coalition government.

Aspects of Text Mining From Computational Semiotics to Systemic Functional Hypertexts

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Alexander Mehler

2001-05-01

Full Text Available The significance of natural language texts as the prime information structure for the management and dissemination of knowledge in organisations is still increasing. Making relevant documents available depending on varying tasks in different contexts is of primary importance for any efficient task completion. Implementing this demand requires the content based processing of texts, which enables to reconstruct or, if necessary, to explore the relationship of task, context and document. Text mining is a technology that is suitable for solving problems of this kind. In the following, semiotic aspects of text mining are investigated. Based on the primary object of text mining - natural language lexis - the specific complexity of this class of signs is outlined and requirements for the implementation of text mining procedures are derived. This is done with reference to text linkage introduced as a special task in text mining. Text linkage refers to the exploration of implicit, content based relations of texts (and their annotation as typed links in corpora possibly organised as hypertexts. In this context, the term systemic functional hypertext is introduced, which distinguishes genre and register layers for the management of links in a poly-level hypertext system.

SparkText: Biomedical Text Mining on Big Data Framework.

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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.

EOG feature relevance determination for microsleep detection

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Golz Martin

2017-09-01

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

EOG feature relevance determination for microsleep detection

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Golz Martin

2017-09-01

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

Relevant Market in Commercial Aviation of the European Union

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Jakub Kociubiński

2011-06-01

Full Text Available The purpose of this paper is to provide a brief overview of the issue of definition of relevant market in civil aviation within the European Union. The liberalization of the market since the early 1990s has led to a rapid increase in the number of airlines operating in the EU. The increase in the competitiveness of the market has brought many positive changes for passengers, such as lower fares and a better network of connections. At the same time it has created a risk that the airlines, in order to gain a competitive edge, would infringe the rules of competition. This is especially important in the context of the phenomenon that is the development of the airline alliances, which could lead to an abuse of a dominant position. A clear definition of the relevant market is a first step in an assessment of whether such an abuse occurred. This paper focus on the elements that Internal Market regulator, the European Commission, takes into consideration when defining relevant market in the airline industry.

Causal and Epistemic Relevance in Appeals to Authority

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Sebastiano Lommi

2015-05-01

Full Text Available Appeals to authority have a long tradition in the history of argumentation theory. During the Middle Age they were considered legitimate and sound arguments, but after Locke’s treatment in the Essay Concerning Human Understanding their legitimacy has come under question. Traditionally, arguments from authority were considered informal arguments, but since the important work of Charles Hamblin (Hamblin, 1970 many attempts to provide a form for them have been done. The most convincing of them is the presumptive form developed by Douglas Walton and John Woods (Woods, Walton, 1974 that aims at taking into account the relevant contextual aspects in assessing the provisional validity of an appeal to authority. The soundness of an appeal depends on its meeting the adequacy conditions set to scrutinize all the relevant questions. I want to claim that this approach is compatible with the analysis of arguments in terms of relevance advanced by David Hitchcock (Hitchcock, 1992. He claims that relevance is a triadic relation between two items and a context. The first item is relevant to the second one in a given context. Different types of relevance relation exist, namely causal relevance and epistemic relevance. “Something is [causally] relevant to an outcome in a given situation if it helps to cause that outcome in the situation” (Hitchcock, 1992, p. 253, whereas it is epistemically relevant when it helps to achieve an epistemic goal in a given situation. I claim that we can adapt this conception to Walton and Krabbe’s theory of dialogue type (Walton, Krabbe, 1995, seeing the items of a relevance relation as the argument and its consequence and the context as the type of dialogue in which these arguments are advanced. According to this perspective, an argument from authority that meets the adequacy conditions has to be considered legitimate because it is an epistemically relevant relation. Therefore, my conclusion is that an analysis of appeals to

Processing and memory of information presented in narrative or expository texts.

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Wolfe, Michael B W; Woodwyk, Joshua M

2010-09-01

Previous research suggests that narrative and expository texts differ in the extent to which they prompt students to integrate to-be-learned content with relevant prior knowledge during comprehension. We expand on previous research by examining on-line processing and representation in memory of to-be-learned content that is embedded in narrative or expository texts. We are particularly interested in how differences in the use of relevant prior knowledge leads to differences in terms of levels of discourse representation (textbase vs. situation model). A total of 61 university undergraduates in Expt 1, and 160 in Expt 2. In Expt 1, subjects thought out loud while comprehending circulatory system content embedded in a narrative or expository text, followed by free recall of text content. In Expt 2, subjects read silently and completed a sentence recognition task to assess memory. In Expt 1, subjects made more associations to prior knowledge while reading the expository text, and recalled more content. Content recall was also correlated with amount of relevant prior knowledge for subjects who read the expository text but not the narrative text. In Expt 2, subjects reading the expository text (compared to the narrative text) had a weaker textbase representation of the to-be-learned content, but a marginally stronger situation model. Results suggest that in terms of to-be-learned content, expository texts trigger students to utilize relevant prior knowledge more than narrative texts.

Net Income, Book Value and Cash Flows: The Value Relevance in Jordanian Economic Sectors

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DHIAA SHAMKI

2013-07-01

Full Text Available This paper examines the value relevance of financial statements variables namely net income, book value and cash flows simultaneously relative to Jordanian services and industrial firms for the period from 2000 to 2009. The main findings of this paper are three- dimensional. First, net income is value relevant, while book value and cash flows are irrelevant. Second, net income is more value relevant than book value and cash flows in both sectors. Third, this value relevance is greater in services sector than in industrial sector. The study shows that net income assist more in explaining market values in Jordanian services and industrial firms. Since research on the value relevance of these variables has neglected Jordan (and the Middle Eastern region, the study tries to fill this practical gap. The study is the first in Jordan that examines the value relevance of net income, book value and cash flows simultaneously and compares this value relevance according to Amman Stock Exchange sectors in one study in Jordan.

E2FM: an encrypted and compressed full-text index for collections of genomic sequences.

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Montecuollo, Ferdinando; Schmid, Giovannni; Tagliaferri, Roberto

2017-09-15

Next Generation Sequencing (NGS) platforms and, more generally, high-throughput technologies are giving rise to an exponential growth in the size of nucleotide sequence databases. Moreover, many emerging applications of nucleotide datasets-as those related to personalized medicine-require the compliance with regulations about the storage and processing of sensitive data. We have designed and carefully engineered E 2 FM -index, a new full-text index in minute space which was optimized for compressing and encrypting nucleotide sequence collections in FASTA format and for performing fast pattern-search queries. E 2 FM -index allows to build self-indexes which occupy till to 1/20 of the storage required by the input FASTA file, thus permitting to save about 95% of storage when indexing collections of highly similar sequences; moreover, it can exactly search the built indexes for patterns in times ranging from few milliseconds to a few hundreds milliseconds, depending on pattern length. Source code is available at https://github.com/montecuollo/E2FM . ferdinando.montecuollo@unicampania.it. Supplementary data are available at Bioinformatics online. © The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Text and ideology: text-oriented discourse analysis

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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.

Text mining improves prediction of protein functional sites.

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Karin M Verspoor

Full Text Available We present an approach that integrates protein structure analysis and text mining for protein functional site prediction, called LEAP-FS (Literature Enhanced Automated Prediction of Functional Sites. The structure analysis was carried out using Dynamics Perturbation Analysis (DPA, which predicts functional sites at control points where interactions greatly perturb protein vibrations. The text mining extracts mentions of residues in the literature, and predicts that residues mentioned are functionally important. We assessed the significance of each of these methods by analyzing their performance in finding known functional sites (specifically, small-molecule binding sites and catalytic sites in about 100,000 publicly available protein structures. The DPA predictions recapitulated many of the functional site annotations and preferentially recovered binding sites annotated as biologically relevant vs. those annotated as potentially spurious. The text-based predictions were also substantially supported by the functional site annotations: compared to other residues, residues mentioned in text were roughly six times more likely to be found in a functional site. The overlap of predictions with annotations improved when the text-based and structure-based methods agreed. Our analysis also yielded new high-quality predictions of many functional site residues that were not catalogued in the curated data sources we inspected. We conclude that both DPA and text mining independently provide valuable high-throughput protein functional site predictions, and that integrating the two methods using LEAP-FS further improves the quality of these predictions.

Construction of phosphorylation interaction networks by text mining of full-length articles using the eFIP system.

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Tudor, Catalina O; Ross, Karen E; Li, Gang; Vijay-Shanker, K; Wu, Cathy H; Arighi, Cecilia N

2015-01-01

Protein phosphorylation is a reversible post-translational modification where a protein kinase adds a phosphate group to a protein, potentially regulating its function, localization and/or activity. Phosphorylation can affect protein-protein interactions (PPIs), abolishing interaction with previous binding partners or enabling new interactions. Extracting phosphorylation information coupled with PPI information from the scientific literature will facilitate the creation of phosphorylation interaction networks of kinases, substrates and interacting partners, toward knowledge discovery of functional outcomes of protein phosphorylation. Increasingly, PPI databases are interested in capturing the phosphorylation state of interacting partners. We have previously developed the eFIP (Extracting Functional Impact of Phosphorylation) text mining system, which identifies phosphorylated proteins and phosphorylation-dependent PPIs. In this work, we present several enhancements for the eFIP system: (i) text mining for full-length articles from the PubMed Central open-access collection; (ii) the integration of the RLIMS-P 2.0 system for the extraction of phosphorylation events with kinase, substrate and site information; (iii) the extension of the PPI module with new trigger words/phrases describing interactions and (iv) the addition of the iSimp tool for sentence simplification to aid in the matching of syntactic patterns. We enhance the website functionality to: (i) support searches based on protein roles (kinases, substrates, interacting partners) or using keywords; (ii) link protein entities to their corresponding UniProt identifiers if mapped and (iii) support visual exploration of phosphorylation interaction networks using Cytoscape. The evaluation of eFIP on full-length articles achieved 92.4% precision, 76.5% recall and 83.7% F-measure on 100 article sections. To demonstrate eFIP for knowledge extraction and discovery, we constructed phosphorylation-dependent interaction

Blocking Avoidance and Escape Responses: Relations With Clinically Relevant Behaviors

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Juliana Maria Bubna Popovitz

Full Text Available Abstract: The current study aims to evaluate the possible effects of interrupting problematic clinically relevant behaviors on the percentage of these responses and of clinical improvement-related responses. Two clients were treated with Functional Analytic Psychotherapy (FAP, alternating two conditions (ABAB. On condition A, procedures to the therapist consisted of responding to the clinical improvement responses, and to description of outside of therapeutic setting behaviors, but therapists were advised to ignore problem behaviors emitted in session. During condition B, therapists followed the same procedures, but they were oriented to block (interrupt problematic responses emitted in session. Results suggest increase in the percentage of problem behaviors during condition B. Results are discussed, highlighting the viability of planning the contingent response the therapist emits to clinically relevant behaviors.

The Relevance of Hegel's Logic

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John W Burbidge

2007-12-01

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

The relevance of music information representation metadata from the perspective of expert users

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Camila Monteiro de Barros

Full Text Available The general goal of this research was to verify which metadata elements of music information representation are relevant for its retrieval from the perspective of expert music users. Based on a bibliographical research, a comprehensive metadata set of music information representation was developed and transformed into a questionnaire for data collection, which was applied to students and professors of the Graduate Program in Music at the Federal University of Rio Grande do Sul. The results show that the most relevant information for expert music users is related to identification and authorship responsibilities. The respondents from Composition and Interpretative Practice areas agree with these results, while the respondents from Musicology/Ethnomusicology and Music Education areas also consider the metadata related to the historical context of composition relevant.

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

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Macdonald-Ross, Michael; Smith, Eleanor

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

COMPOSITIONAL AND CONTENT-RELATED PARTICULARITIES OF POLITICAL MEDIA TEXTS (THROUGH THE EXAMPLE OF THE TEXTS OF POLITICAL VIDEO CLIPS ISSUED BY THE CANDIDATES FOR PRESIDENCY IN FRANCE IN 2017

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Dmitrieva, A.V.

2017-09-01

Full Text Available The article examines the texts of political advertising video clips issued by the candidates for presidency in France during the campaign before the first round of elections in 2017. The mentioned examples of media texts are analysed from the compositional point of view as well as from that of the content particularities which are directly connected to the text structure. In general, the majority of the studied clips have a similar structure and consist of three parts: introduction, main part and conclusion. However, as a result of the research, a range of advantages marking well-structured videos was revealed. These include: addressing the voters and stating the speech topic clearly at the beginning of the clip, a relevant attention-grabbing opening phrase, consistency and clarity of the information presentation, appropriate use of additional video plots, conclusion at the end of the clip.

THE RELEVANCE OF THE PERFORMANCE INDICATORS IN ECONOMIC AND FINANCIAL DIAGNOSIS

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MIRELA MONEA

2011-01-01

Full Text Available Each company must achieve the objectives to reach performance in order to survive on the market. The paper aims to present the concept of performance as is seen in economic literature, to discuss the relevance of the main performances indicators on economic and financial diagnosis, to answer the question what are the main indicators which reflect economic or financial performances: profit, profitability ratios, economic added value, investments return, liquidity, cash-flows, resources efficiency, productivity, others.

THE LEVEL OF KNOWLEDGE IN THE VALUE RELEVANCE LITERATURE

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Mihaela Alina ROBU

2014-12-01

Full Text Available In the last decades, numerous studies have covered the relationship between stock price or stock return and financial information. These studies represent the "value-relevance" literature. Knowledge of this area of interest, through literature and the main ideas, yields scientific progress. The aim of the study is to achieve a qualitative and a quantitative analysis regarding the level of knowledge in the value relevance literature, in an international context. To achieve this aim, a number of 53 scientific articles published between 2001 and 2013 were selected, from the first two journals related to the number of citations in the rankings compiled by Google Scholar, Accounting and Taxation category. Qualitative analysis and quantitative analysis (factorial analysis of multiple correspondences as statistical method were used. The results reflect the importance of existing problems in the financial markets. The studies are focused on solving these problems, to support the investors.

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

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Christine F. Marton

2011-01-01

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

Discussion on the Relevant Factors of General Surgery Incision Infection and Prevention Methods

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Jin Baotao

2017-01-01

Full Text Available There are many reasons that can lead to incision infection of general surgical patients. The main reasons include weight, age, body albumin level, surgical time, observation ward, etc. This paper analyzes the clinic data of patients with incision infection after general surgery based on clinic practice and study on the reasons that have impact on general surgical incision infection and gives relevant prevention countermeasures.

Texte, Mathématiques, Philosophie et Sujet

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Jean-Michel Salanskis

2004-04-01

Full Text Available Dans cet article sont menées deux réflexions. La première tente de juger du rapport de la philosophie à sa textualisation d’après le rapport des mathématiques à leur textualisation, et ce à trois niveaux : 1 en essayant de tirer des manières dont le texte mathématique excède sa forme logique des enseignements quant à la pertinence et la viabilité d’une réduction du texte philosophique à sa forme logique ; 2 en posant le problème d’une étude externaliste du texte philosophique à la lumière des difficultés particulières que suscite l’approche externaliste du texte mathématique ; 3 en examinant ce qu’il en est de l’hybridation du philosophique et du mathématique dans certains textes. La seconde porte sur un aspect particulier de la textualisation : sur l’intervention du marqueur du sujet de l’énonciation (« Je » dans les textes philosophiques.Two reflexions are carried out in this article. The first one tries to judge the relationship between philosophy and its textualization after the relationship between mathematics and their textualization at three different levels : 1 trying to draw ways in which the mathematical text exceeds the logical form of teaching with regards to the relevance and the viability of a reduction of the philosophical text up to its logical form ; 2 setting the problem of an externalist study of the philosophical text in the light of the peculiar difficulties aroused by the externalist approach of the mathematical text ; 3 examining what concerns the hybridization of the philosophical and the mathematical in certain texts. The second one deals with a particular aspect of textualization : with the intervention of the marker of enunciation subject (« I » in philosophical texts.

Models of the Economic Growth and their Relevance

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Nicolae MOROIANU

2012-06-01

Full Text Available Until few years ago, the economic growth was something perfect normal, part of an era marked by the transformation speed. Normality itself has been transformed and we currently are influenced by other rules, unknown yet, which should answer the question: “How do we return to the economic growth?” The economic growth and the models aiming to solve this problem concern the economic history even since its beginnings. In this paper we would like to find out what is the relevance that the well-known macroeconomic models still have and which might be their applicability level in a framework created by a black swan event type.

Pierre Robin sequence: case report, the relevance of autopsy

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Cristiano C. Oliveira

2015-10-01

Full Text Available ABSTRACTPierre Robin sequence is a neonatal disorder characterized by micrognathism, glossoptosis and cleft palate. We reported an autopsy case of a child whose malformations of the oropharynx were identified only at birth. The child was extremely preterm with severe neonatal depression and poor recovery, and the orofacial alterations prevented the correct treatment. There was facial disorder characterized by micrognathia associated with cleft palate and posterior displacement of the tongue, compressing the vallecula, structurally compatible with glossoptosis. This autopsy surpassed the scientific and epidemiological relevance, allowing the family genetic counseling and close monitoring of a subsequent pregnancy.

Perceived Relevance of an Introductory Information Systems Course to Prospective Business Students

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Irene Govender

2013-12-01

Full Text Available The study is designed to examine students’ perceptions of the introductory Information Systems (IS course. It was an exploratory study in which 67 students participated. A quantitative approach was followed making use of questionnaires for the collection of data. Using the theory of reasoned action as a framework, the study explores the factors that influence non-IS major students’ perceived relevance of the IS introductory course. The analysis of collected data included descriptive and inferential statistics. Using multiple regression analysis, the results suggest that overall, the independent variables, relevance of the content, previous IT knowledge, relevance for professional practice, IT preference in courses and peers’ influence may account for 72% of the explanatory power for the dependent variable, perceived relevance of the IS course. In addition, the results have shown some strong predictors (IT preference and peers’ influence that influence students’ perceived relevance of the IS course. Practical work was found to be a strong mediating variable toward positive perceptions of IS. The results of this study suggest that students do indeed perceive the introductory IS course to be relevant and match their professional needs, but more practical work would enhance their learning. Implications for theory and practice are discussed as a result of the behavioural intention to perceive the IS course to be relevant and eventually to recruit more IS students.

“Zebrafishing” for Novel Genes Relevant to the Glomerular Filtration Barrier

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Nils Hanke

2013-01-01

Full Text Available Data for genes relevant to glomerular filtration barrier function or proteinuria is continually increasing in an era of microarrays, genome-wide association studies, and quantitative trait locus analysis. Researchers are limited by published literature searches to select the most relevant genes to investigate. High-throughput cell cultures and other in vitro systems ultimately need to demonstrate proof in an in vivo model. Generating mammalian models for the genes of interest is costly and time intensive, and yields only a small number of test subjects. These models also have many pitfalls such as possible embryonic mortality and failure to generate phenotypes or generate nonkidney specific phenotypes. Here we describe an in vivo zebrafish model as a simple vertebrate screening system to identify genes relevant to glomerular filtration barrier function. Using our technology, we are able to screen entirely novel genes in 4–6 weeks in hundreds of live test subjects at a fraction of the cost of a mammalian model. Our system produces consistent and reliable evidence for gene relevance in glomerular kidney disease; the results then provide merit for further analysis in mammalian models.

Antecedent thermal injury worsens split-thickness skin graft quality: A clinically relevant porcine model of full-thickness burn, excision and grafting.

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Carlsson, Anders H; Rose, Lloyd F; Fletcher, John L; Wu, Jesse C; Leung, Kai P; Chan, Rodney K

2017-02-01

Current standard of care for full-thickness burn is excision followed by autologous split-thickness skin graft placement. Skin grafts are also frequently used to cover surgical wounds not amenable to linear closure. While all grafts have potential to contract, clinical observation suggests that antecedent thermal injury worsens contraction and impairs functional and aesthetic outcomes. This study evaluates the impact of antecedent full-thickness burn on split-thickness skin graft scar outcomes and the potential mediating factors. Full-thickness contact burns (100°C, 30s) were created on the backs of anesthetized female Yorkshire Pigs. After seven days, burn eschar was tangentially excised and covered with 12/1000th inch (300μm) split-thickness skin graft. For comparison, unburned wounds were created by sharp excision to fat before graft application. From 7 to 120days post-grafting, planimetric measurements, digital imaging and biopsies for histology, immunohistochemistry and gene expression were obtained. At 120days post-grafting, the Observer Scar Assessment Scale, colorimetry, contour analysis and optical graft height assessments were performed. Twenty-nine porcine wounds were analyzed. All measured metrics of clinical skin quality were significantly worse (pskin graft quality, likely by multiple mechanisms including burn-related inflammation, microscopically inadequate excision, and dysregulation of tissue remodeling. A valid, reliable, clinically relevant model of full-thickness burn, excision and skin replacement therapy has been demonstrated. Future research to enhance quality of skin replacement therapies should be directed toward modulation of inflammation and assessments for complete excision. Copyright © 2016 Elsevier Ltd and ISBI. All rights reserved.

Getting more out of biomedical documents with GATE's full lifecycle open source text analytics.

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Cunningham, Hamish; Tablan, Valentin; Roberts, Angus; Bontcheva, Kalina

2013-01-01

This software article describes the GATE family of open source text analysis tools and processes. GATE is one of the most widely used systems of its type with yearly download rates of tens of thousands and many active users in both academic and industrial contexts. In this paper we report three examples of GATE-based systems operating in the life sciences and in medicine. First, in genome-wide association studies which have contributed to discovery of a head and neck cancer mutation association. Second, medical records analysis which has significantly increased the statistical power of treatment/outcome models in the UK's largest psychiatric patient cohort. Third, richer constructs in drug-related searching. We also explore the ways in which the GATE family supports the various stages of the lifecycle present in our examples. We conclude that the deployment of text mining for document abstraction or rich search and navigation is best thought of as a process, and that with the right computational tools and data collection strategies this process can be made defined and repeatable. The GATE research programme is now 20 years old and has grown from its roots as a specialist development tool for text processing to become a rather comprehensive ecosystem, bringing together software developers, language engineers and research staff from diverse fields. GATE now has a strong claim to cover a uniquely wide range of the lifecycle of text analysis systems. It forms a focal point for the integration and reuse of advances that have been made by many people (the majority outside of the authors' own group) who work in text processing for biomedicine and other areas. GATE is available online under GNU open source licences and runs on all major operating systems. Support is available from an active user and developer community and also on a commercial basis.

THE RELEVANCE OF GOODWILL REPORTING IN AN ISLAMIC CONTEXT

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Radu-Daniel LOGHIN

2014-11-01

Full Text Available In recent years global finance has seen the emergence of Islamic finance as an alternative to the western secular system. While the two systems posses largely similar concepts of social equity and well-being the major divide between them rests in the distinction between divine and natural law as a source of protection for the downtrodden. As communication barriers between the Arabic and Anglo-European accounting systems start to blur, the question posed for the practitioners as to what constitutes a source of equity becomes more and more relevant. Considering the case of Islamic countries, besides internally-generated and acquired goodwill Islamic sources of social equity such as zakat also provide a source of social equity. For the purpose of this paper, two models pertaining to value relevance are tested for a sample of 56 companies in 6 accounting jurisdictions with the purpose of identifying the underlying sources of social equity revealing that zakat disclosures marginally improve the accuracy of the model.

On the Relevance of Using OpenWireless Sensor Networks in Environment Monitoring

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Antoine B. Bagula

2009-06-01

Full Text Available This paper revisits the problem of the readiness for field deployments of wireless- sensor networks by assessing the relevance of using Open Hardware and Software motes for environment monitoring. We propose a new prototype wireless sensor network that finetunes SquidBee motes to improve the life-time and sensing performance of an environment monitoring system that measures temperature, humidity and luminosity. Building upon two outdoor sensing scenarios, we evaluate the performance of the newly proposed energy-aware prototype solution in terms of link quality when expressed by the Received Signal Strength, Packet Loss and the battery lifetime. The experimental results reveal the relevance of using the Open Hardware and Software motes when setting up outdoor wireless sensor networks.

Text mining resources for the life sciences.

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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.

Text mining resources for the life sciences

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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

Communicative Pragmatic Parameters of Manipulative Formulas in the Advertising Text

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Areshenkova Oleksandra

2016-12-01

Full Text Available Background: Advertising communication tends to shorten the use of the language means. This characteristic explains the deliberate usage of such linguistic constructions that primarily influence the potential consumer. The role of advertising has increased in the modern world. Its strengthening intensifies the interest in the study of this social phenomenon among the scientists in various fields. The relevance of the study is obvious due to the fact that the issues of verbal influence on the recipient remains unexplored in modern Ukrainian linguistics. Purpose: clarifying the role of manipulative formulas in pragmatic implementation of advertisement guidelines. Results: This article makes an attempt to define and describe a set of basic communicative and pragmatic properties in modern advertising texts. The research represents main communicative and speech characteristics of advertising texts. The author analyzes the role of evaluation in producing the impact of communicative effect on the recipient. Also it reveals the efficiency of using impact-oriented language means in advertising texts. Discussion: Hidden evaluation of the advertised goods / services is an effective communicative pragmatic tool influencing the buyer. The latent assessment is provided by manipulative formulas (all, million; №1, leader; 100%; professional, expert.

THE COMPLEX OF EMOTIONAL EXPERIENCES, RELEVANT MANIFESTATIONS OF INSPIRATION

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Pavel A. Starikov

2015-01-01

Full Text Available The aim of the study is to investigate structure of emotional experiences, relevant manifestations of inspiration creative activities of students.Methods. The proposed methods of mathematical statistics (correlation analysis, factor analysis, multidimensional scaling are applied.Results and scientific novelty. The use of factor analysis, multidimensional scaling allowed to reveal a consistent set of positive experiences of the students, the relevant experience of inspiration in creative activities. «Operational» rueful feelings dedicated by M. Chiksentmihaji («feeling of full involvement, and dilution in what you do», «feeling of concentration, perfect clarity of purpose, complete control and a feeling of total immersion in a job that does not require special efforts» and experiences of the «spiritual» nature, more appropriate to peaks experiences of A. Maslow («feeling of love for all existing, all life»; «a deep sense of self importance, the inner feeling of approval of self»; «feeling of unity with the whole world»; «acute perception of the beauty of the world of nature, “beautiful instant”»; «feeling of lightness, flowing» are included in this complex in accordance with the study results. The interrelation of degree of expressiveness of the given complex of experiences with inspiration experience is considered.Practical significance. The results of the study show structure of emotional experiences, relevant manifestations of inspiration. Research materials can be useful both to psychologists, and experts in the field of pedagogy of creative activity.

An Observational Study of Abstracts Presented at the American College of Veterinary Surgeon Annual Meetings (2001-2008) and Their Subsequent Full-Text Publication.

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Meyers, Katherine E; Lindem, Margaret J; Giuffrida, Michelle A

2016-07-01

To determine the frequency of abstracts presented at American College of Veterinary Surgeons (ACVS) meetings from 2001 to 2008 that were published as complete articles, to identify abstract characteristics associated with final full-text publication, and to examine consistency of information between abstracts and final full-text publications. Observational bibliographic study. Abstracts were retrieved from published proceedings. Published articles were retrieved from bibliographic databases. Features of abstract and article authorship, design, and content were recorded. Regression analysis identified abstract features associated with article publication, and evaluated consistency between abstracts and final publications. Seven hundred eighty-two of 1078 (73%) abstracts were published as complete articles. Median time to publication was 1 year; 90% were published within 3 years. Abstracts originating from academic institutions were published more often than abstracts from practice or industry sites (odds ratio 2.61, 95% confidence interval 1.68-4.05). Compared to their conference abstracts, 49% of articles contained major inconsistences including changes in study design, interventions, outcomes, sample size, and results. For each year elapsed between presentation and publication, the odds of major inconsistency increased 2.4 times (odds ratio 2.36, 95% confidence interval 1.57-3.55) for retrospective studies and 1.4 times (odds ratio 1.35, 95% confidence interval 1.17-1.56) for other study designs. Changes in study title and authorship were frequent, particularly in publications that contained major inconsistencies. ACVS abstracts were promptly and reliably published, but final full-text publications often differed substantially from the original abstracts. © Copyright 2016 by The American College of Veterinary Surgeons.

PROFILING THE VOCABULARY OF NEWS TEXTS AS CAPACITY BUILDING FOR LANGUAGE TEACHERS

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Gusti Astika

2015-01-01

Full Text Available Abstract: The importance of vocabulary in reading has been discussed extensively in the literature. Researchers claim that vocabulary is essential and has a central role in comprehension.   Development in ICT and easy access to information from the internet necessitate language teachers to have relevant knowledge and skills to utilize pedagogical tools to use authentic online materials for learning purposes.  One of such a tool is the Vocabulary Profiler that can be used to categorize lexical words in a text into different frequency levels: high, low, and academic word list. This paper discusses how to use the Vocabulary Profiler to classify words in a text into the different categories.  The utilization of this tool can significantly alleviate the workload of teachers in selecting vocabulary in  reading text which is conventionally based on teachers’ intuition and perception. The sample text in this paper was selected from VOA website which may not be found in the textbooks currently used at schools. The paper ends with some implication for teaching about vocabulary selection.

Extended LaSalle's Invariance Principle for Full-Range Cellular Neural Networks

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Mauro Di Marco

2009-01-01

Full Text Available In several relevant applications to the solution of signal processing tasks in real time, a cellular neural network (CNN is required to be convergent, that is, each solution should tend toward some equilibrium point. The paper develops a Lyapunov method, which is based on a generalized version of LaSalle's invariance principle, for studying convergence and stability of the differential inclusions modeling the dynamics of the full-range (FR model of CNNs. The applicability of the method is demonstrated by obtaining a rigorous proof of convergence for symmetric FR-CNNs. The proof, which is a direct consequence of the fact that a symmetric FR-CNN admits a strict Lyapunov function, is much more simple than the corresponding proof of convergence for symmetric standard CNNs.

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

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

2018-05-07

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

Cloning in the classroom: an example of the didactical use of popularization of science text

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Isabel Martins

2004-03-01

Full Text Available This paper describes a science lesson in which different texts,such as newspapers, popular science magazines and textbooks were used as didactic resources. Our theoretical framework explores the relevance of communicative approaches to teaching and discusses the relationships between text and discourse. Data were collected through videotapes of a Biology lesson about cloning in an adult education class in Brazil. The analyses focussed on the teacher’s discursive re-elaborations and revealed a variety of roles played by a popular science text in a science lesson, such as motivation and lesson structuring, as well as, helpingorganise explanations, fostering debate, broadening reading practices and establishing relationships between scientific and everyday contexts. Amongst the discursive re-elaborations observed are strategies for adaptation of originals, the emphasis on reading activities and joint use of popular science texts and textbooks.

LOTUS: Adaptive text search for big linked data

NARCIS (Netherlands)

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

2016-01-01

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

The linguistic construction of the giftedness discourse in the media texts of historical and digital times

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Halliki Põlda

2015-04-01

Full Text Available The aim of the study is to describe and explicate, using critical text analysis, how the socially weighty discourse of giftedness has been constructed historically and how it manifests in the media texts of the digital era. The diachronic analysis is based on the media texts of the 1890s–1990s stored in the Corpus of Standard Estonian, while the synchronic analysis applies to texts found in Delfi.ee. The results highlight the main media discourses dealing with giftedness, the relevant terms and expressions, and the social relations and meanings brought up in the media in connection with the topic. The study reveals that through history, the giftedness discourse has been subject to changes and, constructed with specific linguistic means, it plays an important role in modern social arrangements.

THE VALUE RELEVANCE OF INTERNATIONAL ACCOUNTING STANDARD IMPLEMENTATION AND AUDIT QUALITY

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Hanifa Zulhaimi

2015-12-01

Full Text Available The implementation of international accounting standards in Indonesia has significantly affected financial reporting. It increases information relevance for the investors because a fair value comprehensively represents assets and liabilities of an entity as of the balance sheet date. However, this triggers polemics over the value relevance of International Financial Reporting Standard (IFRS. This can be seen from stock price decline. This study aims to find out the effect of net income and other comprehensive income on stock price and to observe the effect of other comprehensive income moderated by audit quality. Furthermore this study also aims to find out the effect of  the subjectivity of OCI components. Using a sample of 79 companies, the writer analyzes 2014 financial statements derived from Indonesia Stock Exchange. Based on the result, the predetermined hypotheses are unable to prove. Net income is the only variable that affects stock return. Thus it can be concluded that net income has a value relevance for the investors in making economic decisions.

Enhancing biomedical text summarization using semantic relation extraction.

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Shang, Yue; Li, Yanpeng; Lin, Hongfei; Yang, Zhihao

2011-01-01

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

Text Mining for Protein Docking.

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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

Monitoring interaction and collective text production through text mining

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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.

Regional IS Knowledge Networks: Elaborating the Theme of Relevance of IS Research

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Mikael Söderström

2003-01-01

Full Text Available The purpose of this paper is to elaborate on the theme of the relevance of IS research. Based on recent experiments and experiences in the borderland between research and practice and politics we suggest some additions to the discussion of the IS research relevance in Fitzgerald (2001. One addition concerns relevance to whom, where we suggest considering a regional relevance through cultivation of regional IS knowledge networks. Such networks comprise regional knowledge production in collaboration between researchers and practitioners, and results are made public and tested in other organizations in addition to the research sites. This is closely related to the view of knowledge and research put forward by American pragmatism. A second addition is to complement Fitzgerald's suggestion to expose researchers to practice with the suggestion to expose practitioners to research. It is just as difficult to learn the 'true nature' of research from reading the executive summary in MIS Quarterly as it is to learn the 'true nature' of practice from a couple of interviews with practitioners. A regional IS knowledge network is an excellent opportunity for such double exposure.

THE RELEVANCE OF ECONOMIC INFORMATION IN ANALYZING THE ECONOMIC PERFORMANCE

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PATRUTA MIRCEA IOAN

2017-12-01

Full Text Available The performance analysis is based on an informational system, which provides financial information in various formatsand with various applicabilities.We intend to formulate a set of important caracteristics of financial information along with identifying a set of relevant financial rates and indicatorsused to appreciate the performance level of a company. Economic performance can be interpreted in different ways at each level of analysis. Generally, it refers to economic growth, increased productivity and profitability. The growth of labor productivity or increased production per worker is a measure of efficient use of resources in value creation.

Impact of Non Accounting Information on The Value Relevance of Accounting Information: The Case of Jordan

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DHIAA SHAMKI

2013-07-01

Full Text Available The paper presents empirical evidence about the impact of firm’s shareholders number as non accounting information on the value relevance of its earnings and book value of equity as accounting information for Jordanian industrial firms for the period from 1993 to 2002. Employing the return regression analysis and using shareholders number in two proxies namely local and foreign shareholders number, the findings of the study are fourfold. First, Individual earnings are value relevant while book value is irrelevant. Second, combining earnings with book value leads both of them to be irrelevant. Third, extending local shareholders number has significant impact on the value relevance of individual and combined earnings. Forth, extending foreign shareholders number has significant impact on the value relevance of individual book value and combined earnings. Since studies on the value relevance of these variables have neglected Jordan (and the Middle Eastern region, the study is the first especially in Jordan that tries to fill this gap by examiningthe impact of shareholders numbers on the value relevance of earnings and book valueto indicate firm value.

Text mining effectively scores and ranks the literature for improving chemical-gene-disease curation at the comparative toxicogenomics database.

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Allan Peter Davis

Full Text Available The Comparative Toxicogenomics Database (CTD; http://ctdbase.org/ is a public resource that curates interactions between environmental chemicals and gene products, and their relationships to diseases, as a means of understanding the effects of environmental chemicals on human health. CTD provides a triad of core information in the form of chemical-gene, chemical-disease, and gene-disease interactions that are manually curated from scientific articles. To increase the efficiency, productivity, and data coverage of manual curation, we have leveraged text mining to help rank and prioritize the triaged literature. Here, we describe our text-mining process that computes and assigns each article a document relevancy score (DRS, wherein a high DRS suggests that an article is more likely to be relevant for curation at CTD. We evaluated our process by first text mining a corpus of 14,904 articles triaged for seven heavy metals (cadmium, cobalt, copper, lead, manganese, mercury, and nickel. Based upon initial analysis, a representative subset corpus of 3,583 articles was then selected from the 14,094 articles and sent to five CTD biocurators for review. The resulting curation of these 3,583 articles was analyzed for a variety of parameters, including article relevancy, novel data content, interaction yield rate, mean average precision, and biological and toxicological interpretability. We show that for all measured parameters, the DRS is an effective indicator for scoring and improving the ranking of literature for the curation of chemical-gene-disease information at CTD. Here, we demonstrate how fully incorporating text mining-based DRS scoring into our curation pipeline enhances manual curation by prioritizing more relevant articles, thereby increasing data content, productivity, and efficiency.

Dynamic effects of self-relevance and task on the neural processing of emotional words in context

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Eric C. Fields

2016-01-01

Full Text Available We used event-related potentials (ERPs to examine the interactions between task, emotion, and contextual self-relevance on processing words in social vignettes. Participants read scenarios that were in either third person (other-relevant or second person (self-relevant and we recorded ERPs to a neutral, pleasant, or unpleasant critical word. In a previously reported study (Fields & Kuperberg, 2012 with these stimuli, participants were tasked with producing a third sentence continuing the scenario. We observed a larger LPC to emotional words than neutral words in both the self-relevant and other-relevant scenarios, but this effect was smaller in the self-relevant scenarios because the LPC was larger on the neutral words (i.e., a larger LPC to self-relevant than other-relevant neutral words. In the present work, participants simply answered comprehension questions that did not refer to the emotional aspects of the scenario. Here we observed quite a different pattern of interaction between self-relevance and emotion: the LPC was larger to emotional versus neutral words in the self-relevant scenarios only, and there was no effect of self-relevance on neutral words. Taken together, these findings suggest that the LPC reflects a dynamic interaction between specific task demands, the emotional properties of a stimulus, and contextual self-relevance. We conclude by discussing implications and future directions for a functional theory of the emotional LPC.

PolySearch2: a significantly improved text-mining system for discovering associations between human diseases, genes, drugs, metabolites, toxins and more.

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Liu, Yifeng; Liang, Yongjie; Wishart, David

2015-07-01

PolySearch2 (http://polysearch.ca) is an online text-mining system for identifying relationships between biomedical entities such as human diseases, genes, SNPs, proteins, drugs, metabolites, toxins, metabolic pathways, organs, tissues, subcellular organelles, positive health effects, negative health effects, drug actions, Gene Ontology terms, MeSH terms, ICD-10 medical codes, biological taxonomies and chemical taxonomies. PolySearch2 supports a generalized 'Given X, find all associated Ys' query, where X and Y can be selected from the aforementioned biomedical entities. An example query might be: 'Find all diseases associated with Bisphenol A'. To find its answers, PolySearch2 searches for associations against comprehensive collections of free-text collections, including local versions of MEDLINE abstracts, PubMed Central full-text articles, Wikipedia full-text articles and US Patent application abstracts. PolySearch2 also searches 14 widely used, text-rich biological databases such as UniProt, DrugBank and Human Metabolome Database to improve its accuracy and coverage. PolySearch2 maintains an extensive thesaurus of biological terms and exploits the latest search engine technology to rapidly retrieve relevant articles and databases records. PolySearch2 also generates, ranks and annotates associative candidates and present results with relevancy statistics and highlighted key sentences to facilitate user interpretation. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

What Do You Do With Hands Like These? Close Reading Facilitates Exploration and Text Creation

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Lindsey Moses

2013-05-01

Full Text Available This article shares instructional ideas to enhance language and literacy experiences involving the reading and writing processes of young bilinguals (Spanish and English in Colorado, USA when engaging with informational texts. Informational texts provide language scaffolds for young bilinguals because they build on their background knowledge about the world around them. Drawing on their recognition of real-world concepts found in informational texts, teaching ideas that enrich both academic and social vocabulary are shared. These teaching ideas suggest moving beyond the read aloud and individual reading of informational texts; they suggest instead teaching young learners to ‘read like writers’ and utilize Jenkins and Page’s What Do You Do With a Tail Like This? (2003 as a mentor text. This article includes relevant research, teaching ideas and classroom examples for scaffolding a close reading, ultimately resulting in intercultural explorations as the children share their writing about their home contexts.

Reach and Relevance of Prison Research

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Hilde Tubex

2015-04-01

Full Text Available In this contribution I reflect on the changes in the penal landscape and how they impact on prison research. I do this from my experiences as a prison researcher in a variety of roles, in both Europe and Australia. The growing dominance of managerialism has impacted on both corrective services and universities, in ways that have changed the relationship between current prison practices and academically oriented research. Therefore, academics have to question how their contemporary prison research can bridge the emerging gap: how they can not only produce research that adheres to the roots of criminology and provides a base for a rational penal policy, but also how they can develop strategies to get recognition of and funding for this broader contextual work which, although it might not produce results that are immediately identifiable, can be of relevance in indirect ways and in the longer term.

Identity text: an educational intervention to foster cultural interaction

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Zareen Zaidi

2016-11-01

Full Text Available Background: Sociocultural theories state that learning results from people participating in contexts where social interaction is facilitated. There is a need to create such facilitated pedagogical spaces where participants can share their ways of knowing and doing. The aim of this exploratory study was to introduce pedagogical space for sociocultural interaction using ‘Identity Text’. Methods: Identity Texts are sociocultural artifacts produced by participants, which can be written, spoken, visual, musical, or multimodal. In 2013, participants of an international medical education fellowship program were asked to create their own Identity Texts to promote discussion about participants’ cultural backgrounds. Thematic analysis was used to make the analysis relevant to studying the pedagogical utility of the intervention. Result: The Identity Text intervention created two spaces: a ‘reflective space’, which helped participants reflect on sensitive topics such as institutional environments, roles in interdisciplinary teams, and gender discrimination, and a ‘narrative space’, which allowed participants to tell powerful stories that provided cultural insights and challenged cultural hegemony; they described the conscious and subconscious transformation in identity that evolved secondary to struggles with local power dynamics and social demands involving the impact of family, peers, and country of origin. Conclusion: While the impact of providing pedagogical space using Identity Text on cognitive engagement and enhanced learning requires further research, the findings of this study suggest that it is a useful pedagogical strategy to support cross-cultural education.

Cheias de Charme (Full of Charm The working class in cyberculture paradise

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Gisela Grangeiro da Silva Castro

2012-12-01

Full Text Available Given the leadership of Rede Globo in the Brazilian media scene, this paper aims to analyze marketing strategies present in the telenovela Cheias de Charme (Full of Charm in order to elicit interaction with internet social networks. The telenovela takes part in the social pedagogy, especially aimed at the audience stratum for whom television is the main source of daily leisure. Cheias de Charme focuses on class C portraying domestic workers as main characters. In today’s complex communication ecosystem, we highlight the growing access of lower income classes to digital media and the relevance of the Brazilians in digital social networks. By examining this example of transmedia storytelling we discuss today’s striking HYBRIDIZATION between communication, consumption and entertainment.

Why relevance theory is relevant for lexicography

DEFF Research Database (Denmark)

Bothma, Theo; Tarp, Sven

2014-01-01

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

Insider Trading B-side: relevance, timeliness and position influence

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Luiz Felipe de A. Pontes Girão

2015-12-01

Full Text Available Objective – Our main objective is to analyze the impacto f insider trading on stock investments’ decision. Design/methodology/approach – We used an online survey, obtaining 271 valid answers. To analyze our data, we used some parametric (t and F Anova, and non-parametric techniques (Mann-Whitney and Kruskal-Wallis. Findings – We find that insider tradings are relevant to investment decisions, and the timeliness also exert an influence to this kind of decision, especially abnormal trades. Practical implications – In practical terms, our results suggests that the Brazilian Securities and Exchange Commission (CVM must update the Brazilian insider trading regulation to achieve the objective to protect investors. In the investors point of view, this possible update could improve investors’ ability to control insiders and follow his activities as well as to mimic his trades. Originality/value – The originality of our paper is an analysis of relevance, timeliness and influence of position in a firm as “determinants” of investment decisions. We use these three specific characteristics to criticize the Brazilian insider trading regulation.

HighWire Free Online Full-text Articles

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Journal of Lipid Research all articles after 12 months Journal of Medical Ethics all articles 1 Jan 1975 Anticancer Research all articles after 2 years every Jan. Antimicrobial Agents and Chemotherapy all articles BMJ Open Diabetes Research & Care free site BMJ Open Gastroenterology free site BMJ Open

Tagging narrator's names in Hadith text | Rahman | Journal of ...

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N.A. Rahman, N.K. Ismail, Z.M. Nor, M.N. Alias, M.S. Kamis, N Alias. Abstract. No Abstract. Keywords: tagging; hadith text; name. Full Text: EMAIL FREE FULL TEXT EMAIL FREE FULL TEXT · DOWNLOAD FULL TEXT DOWNLOAD FULL TEXT · http://dx.doi.org/10.4314/jfas.v9i5s.21 · AJOL African Journals Online. HOW TO ...

Searching for Mirrors: Preservice Teachers' Journey toward More Culturally Relevant Pedagogy

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Christ, Tanya; Sharma, Sue Ann

2018-01-01

Culturally relevant text selection and pedagogy support students' motivation, engagement, literacy outcomes, and positive identity formation. Nevertheless, there is limited research on teacher preparation that fosters these outcomes. We explore 17 preservice teachers' challenges and successes with culturally relevant text selection and pedagogy…

A DYNAMIC FEATURE SELECTION METHOD FOR DOCUMENT RANKING WITH RELEVANCE FEEDBACK APPROACH

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K. Latha

2010-07-01

Full Text Available Ranking search results is essential for information retrieval and Web search. Search engines need to not only return highly relevant results, but also be fast to satisfy users. As a result, not all available features can be used for ranking, and in fact only a small percentage of these features can be used. Thus, it is crucial to have a feature selection mechanism that can find a subset of features that both meets latency requirements and achieves high relevance. In this paper we describe a 0/1 knapsack procedure for automatically selecting features to use within Generalization model for Document Ranking. We propose an approach for Relevance Feedback using Expectation Maximization method and evaluate the algorithm on the TREC Collection for describing classes of feedback textual information retrieval features. Experimental results, evaluated on standard TREC-9 part of the OHSUMED collections, show that our feature selection algorithm produces models that are either significantly more effective than, or equally effective as, models such as Markov Random Field model, Correlation Co-efficient and Count Difference method

Recency or Relevance: A Quest for Pedagogical Framework in Teaching Philippine and World Literature in Senior High School

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Richard M. Bañez

2016-11-01

Full Text Available Pedagogical questions on whether recency or relevance of literary texts, and the importance of generic academic over discipline-based learning objectives as the core of literature instruction are increasingly becoming the interest of debates in senior high school education. Hence, this study determined the degree of importance of literary instruction in preparation for college education and workplace challenges as assessed by 38 Grade 11 students at Malvar Senior High School, Philippines during the school year 2016-2017. By employing the survey type of descriptive research with a self-made questionnaire, it was found out that the respondents assessed both recency and relevance as important consideration in selecting literary texts. They also perceived that discipline-based/work-oriented learning objectives, especially those that focus on honing their human relation skills, were relevant in preparing themselves for college education and workplace responsibilities. Moreover, the respondents preferred language-based activities that tend to provide the former opportunities and develop other complex skills which are important in tertiary education and workplace challenges. With these, revitalizing the literature instruction in the senior high school is highly recommended in this study.

THE RELEVANCY OF ENGLISH IN CONTEXT FOR SMA/MA STUDENT YEAR ONE TEXTBOOK TO THE CURRICULUM USED

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Qudwatin Nisak

2013-11-01

Full Text Available To improve the quality of English education in Nanggroe Aceh Darussalam (NAD, the Department of Education of NAD as policymaker has made some efforts, among others, sending some teachers for overseas training and also conducting in-service training in designing English teaching material. One of the results of the projects done by the Department of Education of NAD is an English textbook entitled “English in Context for SMA/MA student year 1”, was distributed to some senior high schools in Banda Aceh in 2005. Lately, the textbook hasn’t been used effectively. Based on that fact, it is considered necessary to evaluate the textbook in order to know its relevant to curriculum used. The data of this study are the contents of English in Context for SMA/MA students year 1, consist of objectives of the textbook, themes chosen, skills presented, task designed, types of the text, language focus provided, vocabulary, and just for fun sections as well as the physical condition of textbook. After the data were put based on their classifications, they were analyzed qualitatively by finding its relevancy to CBC. The relevant elements of textbook to CBC and the deficient element of the textbook were explained descriptively. The result shows that only small portions of suggested material in CBC are provided in the textbook. The types of listening texts which are relevant to CBC are only recount and report. The genre of the reading texts which are relevant to CBC are recount, report, and news items. Meanwhile, the speaking task types provided in the textbook are dialogue, talks/speeches, plays/role play, discussion, and report. The deficient elements found in the textbook are lack of clarity of the authors’ objective, repetition of the tasks designed, lack of variation in some skill’s presentation and some irrelevant materials to CBC.

Is Wagner’s theory relevant in explaining health expenditure dynamics in Botswana?

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Kunofiwa Tsaurai

2014-11-01

Full Text Available This study tests the relevance of the Wagner’s theory in explaining the health expenditure in Botswana. There is no consensus yet when it comes to the causality relationship between health expenditure and economy. At the moment, there are four dominant schools of thought explaining the causality relationship between health expenditure and economy. The first school of thought is that health expenditure spurs the economy whilst the second school of thought says that the economy drives health expenditure. The third school of thought maintains that there is a feedback effect between health expenditure and the economy whilst the fourth mentions that there is no causality at all between the two variables. However, this study found out that there is no causality relationship between health expenditure and GDP in Botswana thereby dismissing the relevance of the Wagner’s theory.

X-ray Spectroscopic Characterization of Shock-Ignition-Relevant plasmas

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Michal Šmíd

2013-01-01

Full Text Available Experiments with multilayer plastic/Cu targets performed at a PALS laser system aimed at the study of matter at conditions relevant to a shock ignition ICF scheme, and, in particular, at the investigation of hot electrons generation. Plasma temperature and density were obtained using high-resolution X-ray spectroscopy. 2D-spatially resolved quasi–monochromatic imaging was observing the hot electrons via fluorescence K emission in the copper tracer layer. Found values of plasma temperature 690 ± 10 eV, electron density 3 × 1022 cm-3 and the effective energy of hot electrons 45 ± 20 keV demonstrate the potential of X-ray methods in the characterization of the shock ignition environmental conditions.

Support Vector Machines: Relevance Feedback and Information Retrieval.

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

2002-01-01

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

Long-Time Data Storage: Relevant Time Scales

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Miko C. Elwenspoek

2011-02-01

Full Text Available Dynamic processes relevant for long-time storage of information about human kind are discussed, ranging from biological and geological processes to the lifecycle of stars and the expansion of the universe. Major results are that life will end ultimately and the remaining time that the earth is habitable for complex life is about half a billion years. A system retrieved within the next million years will be read by beings very closely related to Homo sapiens. During this time the surface of the earth will change making it risky to place a small number of large memory systems on earth; the option to place it on the moon might be more favorable. For much longer timescales both options do not seem feasible because of geological processes on the earth and the flux of small meteorites to the moon.

Exploring the Relevance of Search Engines: An Overview of Google as a Case Study

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Ricardo Beltrán-Alfonso

2017-08-01

Full Text Available The huge amount of data on the Internet and the diverse list of strategies used to try to link this information with relevant searches through Linked Data have generated a revolution in data treatment and its representation. Nevertheless, the conventional search engines like Google are kept as strategies with good reception to do search processes. The following article presents a study of the development and evolution of search engines, more specifically, to analyze the relevance of findings based on the number of results displayed in paging systems with Google as a case study. Finally, it is intended to contribute to indexing criteria in search results, based on an approach to Semantic Web as a stage in the evolution of the Web.

DataToText: A Consumer-Oriented Approach to Data Analysis

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Kenny, David A.

2010-01-01

DataToText is a project developed where the user communicates the relevant information for an analysis and DataToText computer routine produces text output that describes in words, tables, and figures the results from the analyses. Two extended examples are given, one an example of a moderator analysis and the other an example of a dyadic data…

ESD full chip simulation: HBM and CDM requirements and simulation approach

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E. Franell

2008-05-01

Full Text Available Verification of ESD safety on full chip level is a major challenge for IC design. Especially phenomena with their origin in the overall product setup are posing a hurdle on the way to ESD safe products. For stress according to the Charged Device Model (CDM, a stumbling stone for a simulation based analysis is the complex current distribution among a huge number of internal nodes leading to hardly predictable voltage drops inside the circuits.

This paper describes an methodology for Human Body Model (HBM simulations with an improved ESD-failure coverage and a novel methodology to replace capacitive nodes within a resistive network by current sources for CDM simulation. This enables a highly efficient DC simulation clearly marking CDM relevant design weaknesses allowing for application of this software both during product development and for product verification.

SparkText: Biomedical Text Mining on Big Data Framework.

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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.

The clinical relevance of assessing advanced glycation endproducts accumulation in diabetes

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Hillebrands Jan-Luuk

2008-10-01

Full Text Available Abstract Cardiovascular disease is the major cause of morbidity and mortality associated with diabetes. There is increasing evidence that advanced glycation endproducts (AGEs play a pivotal role in atherosclerosis, in particular in diabetes. AGE accumulation is a measure of cumulative metabolic and oxidative stress, and may so represent the "metabolic memory". Furthermore, increased AGE accumulation is closely related to the development of cardiovascular complications in diabetes. This review article will focus on the clinical relevance of measuring AGE accumulation in diabetic patients by focusing on AGE formation, AGEs as predictors of long-term complications, and interventions against AGEs.

The Relevant Skills for Forensic Accountants – Can the Romanian Accounting Education Programs offer them?

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Bobițan Nicolae

2017-01-01

Full Text Available In Romania for becoming a forensic accountant it is necessary, as preliminary conditions, first,to have a bachelor`s degree in accounting or finance, and second, to attain a certification, aschartered accountant, given by the professional body, CECCAR, and after that, as forensicaccountant. The purpose of this study is to investigate whether the Romanian academic educationand the professional education can assure all the relevant skills for a forensic accountant. In orderto achieve the objective, first, the authors investigated the most important studies which have thepurpose to identify the relevant skills for a forensic accountant. Second, the authors reviewed thecurriculum of the most important faculties with the aim to find and connect different courses withdifferent skills. The purpose was to determine how the forensic accounting education, offered to theprofessional accountants, assures them, all the relevant skills that are necessary in the profession.

http://www.isarder.org/isardercom/2013vol5issue1/vol5_issue1_article06full_text.PDF

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Suat TEKER

2013-03-01

Full Text Available This study has pointed out that a new version of Build-Operate-Transfer (BOT financing model generated out from classical BOT model can be used for highway financing. The classical BOT, one of the most popular PPP models has been oftenly employed by various countries for financing of large scale public projects. Over the last 20 year period a number of infrastructure projects in Turkey such as natural gas plants, airports and hydro electric power plants were constructed by using BOT model. In this study, the new version of BOT model is implemented on the projected Ankara-İzmir Highway Project. This highway project can be constructed at a lower project cost by using the suggested BOT model compared to the classical BOT model. Therefore, the lower project cost results in a lower toll rate.

Relevance of CBR for the Asia-Pacific Region

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San Yuenwah

2012-06-01

Full Text Available While the focus of CBR action is at the community level, it is pertinent to note some of the Asia-Pacific region’s overall development trends. In an interconnected world, these trends have significant implications for the practice of CBR and its advancement in the region.This paper discusses how CBR could give impetus to a community-supported self-help movement for change. The paper presents seven prisms for akaleidoscopic view to highlight some parameters that are unique to the Asia-Pacific scenario for CBR. The relevance of CBR for this region is discussed in relation to two groups of issues: the first refers to chronic issues of poverty, hunger and inequalities; and the second, to dramatic emerging challenges, from urbanisation to the current economic scenario.

Figure text extraction in biomedical literature.

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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

Towards Technological Approaches for Concept Maps Mining from Text

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Camila Zacche Aguiar

2018-04-01

Full Text Available Concept maps are resources for the representation and construction of knowledge. They allow showing, through concepts and relationships, how knowledge about a subject is organized. Technological advances have boosted the development of approaches for the automatic construction of a concept map, to facilitate and provide the benefits of that resource more broadly. Due to the need to better identify and analyze the functionalities and characteristics of those approaches, we conducted a detailed study on technological approaches for automatic construction of concept maps published between 1994 and 2016 in the IEEE Xplore, ACM and Elsevier Science Direct data bases. From this study, we elaborate a categorization defined on two perspectives, Data Source and Graphic Representation, and fourteen categories. That study collected 30 relevant articles, which were applied to the proposed categorization to identify the main features and limitations of each approach. A detailed view on these approaches, their characteristics and techniques are presented enabling a quantitative analysis. In addition, the categorization has given us objective conditions to establish new specification requirements for a new technological approach aiming at concept maps mining from texts.

Development of response inhibition in the context of relevant versus irrelevant emotions

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Margot A Schel

2013-07-01

Full Text Available The present study examined the influence of relevant and irrelevant emotions on response inhibition from childhood to early adulthood. Ninety-four participants between 6 and 25 years of age performed two go/nogo tasks with emotional faces (neutral, happy, and fearful as stimuli. In one go/nogo task emotion formed a relevant dimension of the task and in the other go/nogo task emotion was irrelevant and participants had to respond to the color of the faces instead. A special feature of the latter task, in which emotion was irrelevant, was the inclusion of free choice trials, in which participants could freely decide between acting and inhibiting. Results showed a linear increase in response inhibition performance with increasing age both in relevant and irrelevant affective contexts. Relevant emotions had a pronounced influence on performance across age, whereas irrelevant emotions did not. Overall, participants made more false alarms on trials with fearful faces than happy faces, and happy faces were associated with better performance on go trials (higher percentage correct and faster RTs than fearful faces. The latter effect was stronger for young children in terms of accuracy. Finally, during the free choice trials participants did not base their decisions on affective context, confirming that irrelevant emotions do not have a strong impact on inhibition. Together, these findings suggest that across development relevant affective context has a larger influence on response inhibition than irrelevant affective context. When emotions are relevant, a context of positive emotions is associated with better performance compared to a context with negative emotions, especially in young children.

Progress of LMJ-relevant implosions experiments on OMEGA

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Casner A.

2013-11-01

Full Text Available In preparation of the first ignition attempts on the Laser Mégajoule (LMJ, an experimental program is being pursued on OMEGA to investigate LMJ-relevant hohlraums. First, radiation temperature levels close to 300 eV were recently achieved in reduced-scale hohlraums with modest backscatter losses. Regarding the baseline target design for fusion experiments on LMJ, an extensive experimental database has also been collected for scaled implosions experiments in both empty and gas-filled rugby-shaped hohlraums. We acquired a full picture of hohlraum energetics and implosion dynamics. Not only did the rugby hohlraums show significantly higher x-ray drive energy over the cylindrical hohlraums, but symmetry control by power balance was demonstrated, as well as high-performance D2 implosions enabling the use of a complete suite of neutrons diagnostics. Charged particle diagnostics provide complementary insights into the physics of these x-ray driven implosions. An overview of these results demonstrates our ability to control the key parameters driving the implosion, lending more confidence in extrapolations to ignition-scale targets.

SparkText: Biomedical Text Mining on Big Data Framework

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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

Finding novel relationships with integrated gene-gene association network analysis of Synechocystis sp. PCC 6803 using species-independent text-mining.

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Kreula, Sanna M; Kaewphan, Suwisa; Ginter, Filip; Jones, Patrik R

2018-01-01

The increasing move towards open access full-text scientific literature enhances our ability to utilize advanced text-mining methods to construct information-rich networks that no human will be able to grasp simply from 'reading the literature'. The utility of text-mining for well-studied species is obvious though the utility for less studied species, or those with no prior track-record at all, is not clear. Here we present a concept for how advanced text-mining can be used to create information-rich networks even for less well studied species and apply it to generate an open-access gene-gene association network resource for Synechocystis sp. PCC 6803, a representative model organism for cyanobacteria and first case-study for the methodology. By merging the text-mining network with networks generated from species-specific experimental data, network integration was used to enhance the accuracy of predicting novel interactions that are biologically relevant. A rule-based algorithm (filter) was constructed in order to automate the search for novel candidate genes with a high degree of likely association to known target genes by (1) ignoring established relationships from the existing literature, as they are already 'known', and (2) demanding multiple independent evidences for every novel and potentially relevant relationship. Using selected case studies, we demonstrate the utility of the network resource and filter to ( i ) discover novel candidate associations between different genes or proteins in the network, and ( ii ) rapidly evaluate the potential role of any one particular gene or protein. The full network is provided as an open-source resource.

Kernel-Based Relevance Analysis with Enhanced Interpretability for Detection of Brain Activity Patterns

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Andres M. Alvarez-Meza

2017-10-01

Full Text Available We introduce Enhanced Kernel-based Relevance Analysis (EKRA that aims to support the automatic identification of brain activity patterns using electroencephalographic recordings. EKRA is a data-driven strategy that incorporates two kernel functions to take advantage of the available joint information, associating neural responses to a given stimulus condition. Regarding this, a Centered Kernel Alignment functional is adjusted to learning the linear projection that best discriminates the input feature set, optimizing the required free parameters automatically. Our approach is carried out in two scenarios: (i feature selection by computing a relevance vector from extracted neural features to facilitating the physiological interpretation of a given brain activity task, and (ii enhanced feature selection to perform an additional transformation of relevant features aiming to improve the overall identification accuracy. Accordingly, we provide an alternative feature relevance analysis strategy that allows improving the system performance while favoring the data interpretability. For the validation purpose, EKRA is tested in two well-known tasks of brain activity: motor imagery discrimination and epileptic seizure detection. The obtained results show that the EKRA approach estimates a relevant representation space extracted from the provided supervised information, emphasizing the salient input features. As a result, our proposal outperforms the state-of-the-art methods regarding brain activity discrimination accuracy with the benefit of enhanced physiological interpretation about the task at hand.

Social and emotional relevance in face processing: Happy faces of future interaction partners enhance the LPP

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Florian eBublatzky

2014-07-01

Full Text Available Human face perception is modulated by both emotional valence and social relevance, but their interaction has rarely been examined. Event-related brain potentials (ERP to happy, neutral, and angry facial expressions with different degrees of social relevance were recorded. Social relevance was manipulated by presenting pictures of two specific face actors as future interaction partners (meet condition, whereas two other face actors remained non-relevant. As a further control condition all stimuli were presented without specific task instructions (passive viewing condition. A within-subject design (Facial Expression x Relevance x Task was implemented, where randomly ordered face stimuli of four actors (2 women, from the KDEF were presented for 1s to 26 participants (16 female. Results showed an augmented N170, early posterior negativity (EPN, and late positive potential (LPP for emotional in contrast to neutral facial expressions. Of particular interest, face processing varied as a function of instructed social relevance. Whereas the meet condition was accompanied with unspecific effects regardless of relevance (P1, EPN, viewing potential interaction partners was associated with increased LPP amplitudes. The LPP was specifically enhanced for happy facial expressions of the future interaction partners. This underscores that social relevance can impact face processing already at an early stage of visual processing. These findings are discussed within the framework of motivated attention and face processing theories.

Personalized Education Approaches for Chemical Engineering and Relevant Majors

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Zhao Feng-qing

2016-01-01

Full Text Available Personalized education has drawn increasing attention in universities these years. With the purpose of improving the studentss’ comprehensive ability and developing teaching strategies to ensure students’ education is tailored to their needs, we proposed Three-Stage Approach (TSA to enhance personalized education for chemical engineering and relevant majors: professional tutorial system--equipping with professional guidance teachers for freshman students to guide their learning activities and provide professional guidance; open experimental project--setting up open experimental projects for sophomore and junior students to choose freely; individualized education module--setting up 10 different individualized education modules for senior students to select. After years of practice, the personalized education model is improved day by day and proved effective and fruitful.

Toward the Relevance of Platelet Subpopulations for Transfusion Medicine

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Stefan Handtke

2018-02-01

Full Text Available Circulating platelets consist of subpopulations with different age, maturation state and size. In this review, we address the association between platelet size and platelet function and summarize the current knowledge on platelet subpopulations including reticulated platelets, procoagulant platelets and platelets exposing signals to mediate their clearance. Thereby, we emphasize the impact of platelet turnover as an important condition for platelet production in vivo. Understanding of the features that characterize platelet subpopulations is very relevant for the methods of platelet concentrate production, which may enrich or deplete particular platelet subpopulations. Moreover, the concept of platelet size being associated with platelet function may be attractive for transfusion medicine as it holds the perspective to separate platelet subpopulations with specific functional capabilities.

Figure-associated text summarization and evaluation.

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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.

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

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Wei B. Mao

2017-07-01

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

THE RELEVANCE OF MANAGEMENT ACCOUNTING FOR THE HOSPITALITY INDUSTRY

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Briciu Sorin

2012-07-01

Full Text Available In the contemporary period the tourism and hospitality industry has experienced dynamic growth despite the challenges facing not only the global crisis, but also market changes, consumer behavior and technological trends. Accounting, the language of business is required to keep up with changes made to each particular area of activity so that they can provide timely relevant information to be managed by an efficient information system. Our article focuses on presenting the importance of management accounting and cost information system in the hospitality industry, then consider identifying features of this sector and their impact on accounting. The methodology of our research falls within the economic research, being theoretical, aiming primarily to knowledge objectives and the relevance of management accounting for economic entities, and then we have the characteristics of hospitality industry and possible organizational management accounting in this sector. In our perspective cost calculation for services, packages or travel benefits must take into account the development of the accounts from Class 9, so we propose a possible method to customize them according to the Direct Costing and CVP analysis. Our research will also be explanatory descriptive, trying to answer the questions How? and Why?

Autonomia e relevância dos regimes The autonomy and relevance of regimes

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Gustavo Seignemartin de Carvalho

2005-12-01

Full Text Available Teorias institucionalistas na disciplina de relações internacionais usualmente definem regimes como um conjunto de normas e regras formais ou informais que permitem a convergência de expectativas ou a padronização do comportamento de seus participantes em uma determinada área de interesses com o objetivo de resolver problemas de coordenação que tenderiam a resultados não pareto-eficientes. Como estas definições baseadas meramente na "eficiência" dos regimes não parecem suficientes para explicar sua efetividade, o presente artigo propõe uma definição diferente para regimes: a de arranjos políticos que permitem a redistribuição dos ganhos da cooperação pelos participantes em uma determinada área de interesses em um contexto de interdependência. Regimes possuiriam efetividade pela sua autonomia e relevância, ou seja, por possuírem existência objetiva autônoma da de seus participantes e por influenciarem seu comportamento e expectativas de maneiras que não podem ser reduzidas à ação individual de nenhum deles. O artigo inicia-se com uma breve discussão sobre as dificuldades terminológicas associadas ao estudo de regimes e a definição dos conceitos de autonomia e relevância. Em seguida, classifica os diversos autores participantes do debate em duas perspectivas distintas, uma que nega (não-autonomistas e outra que atribui (autonomistas aos regimes autonomia e relevância, e faz uma breve análise dos autores e tradições mais significativos para o debate, aprofundando-se nos autonomistas e nos argumentos que reforçam a hipótese aqui apresentada. Ao final, o artigo propõe uma decomposição analítica dos regimes nos quatro elementos principais que lhes propiciam autonomia e relevância: normatividade, atores, especificidade da área de interesses e interdependência complexa com o contexto.Regimes are defined by institutionalist theories in the discipline of International Relations as formal or informal sets

Healthy full-term infants' brain responses to emotionally and linguistically relevant sounds using a multi-feature mismatch negativity (MMN) paradigm.

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Kostilainen, Kaisamari; Wikström, Valtteri; Pakarinen, Satu; Videman, Mari; Karlsson, Linnea; Keskinen, Maria; Scheinin, Noora M; Karlsson, Hasse; Huotilainen, Minna

2018-03-23

We evaluated the feasibility of a multi-feature mismatch negativity (MMN) paradigm in studying auditory processing of healthy newborns. The aim was to examine the automatic change-detection and processing of semantic and emotional information in speech in newborns. Brain responses of 202 healthy newborns were recorded with a multi-feature paradigm including a Finnish bi-syllabic pseudo-word/ta-ta/as a standard stimulus, six linguistically relevant deviant stimuli and three emotionally relevant stimuli (happy, sad, angry). Clear responses to emotional sounds were found already at the early latency window 100-200 ms, whereas responses to linguistically relevant minor changes and emotional stimuli at the later latency window 300-500 ms did not reach significance. Moreover, significant interaction between gender and emotional stimuli was found in the early latency window. Further studies on using multi-feature paradigms with linguistic and emotional stimuli in newborns are needed, especially those containing of follow-ups, enabling the assessment of the predictive value of early variations between subjects. Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.

Multi-stage gene normalization for full-text articles with context-based species filtering for dynamic dictionary entry selection.

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Tsai, Richard Tzong-Han; Lai, Po-Ting

2011-10-03

Gene normalization (GN) is the task of identifying the unique database IDs of genes and proteins in literature. The best-known public competition of GN systems is the GN task of the BioCreative challenge, which has been held four times since 2003. The last two BioCreatives, II.5 & III, had two significant differences from earlier tasks: firstly, they provided full-length articles in addition to abstracts; and secondly, they included multiple species without providing species ID information. Full papers introduce more complex targets for GN processing, while the inclusion of multiple species vastly increases the potential size of dictionaries needed for GN. BioCreative III GN uses Threshold Average Precision at a median of k errors per query (TAP-k), a new measure closely related to the well-known average precision, but also reflecting the reliability of the score provided by each GN system. To use full-paper text, we employed a multi-stage GN algorithm and a ranking method which exploit information in different sections and parts of a paper. To handle the inclusion of multiple unknown species, we developed two context-based dynamic strategies to select dictionary entries related to the species that appear in the paper-section-wide and article-wide context. Our originally submitted BioCreative III system uses a static dictionary containing only the most common species entries. It already exceeds the BioCreative III average team performance by at least 24% in every evaluation. However, using our proposed dynamic dictionary strategies, we were able to further improve TAP-5, TAP-10, and TAP-20 by 16.47%, 13.57% and 6.01%, respectively in the Gold 50 test set. Our best dynamic strategy outperforms the best BioCreative III systems in TAP-10 on the Silver 50 test set and in TAP-5 on the Silver 507 set. Our experimental results demonstrate the superiority of our proposed dynamic dictionary selection strategies over our original static strategy and most BioCreative III

Sacred texts and mystic meaning: An inquiry into Christian ...

African Journals Online (AJOL)

EMAIL FREE FULL TEXT EMAIL FREE FULL TEXT · DOWNLOAD FULL TEXT DOWNLOAD FULL TEXT · http://dx.doi.org/10.4314/actat.v31i2.3 · AJOL African Journals Online. HOW TO USE AJOL... for Researchers · for Librarians · for Authors · FAQ's · More about AJOL · AJOL's Partners · Terms and Conditions of Use ...

Perspectives on creating clinically relevant blast models for mild traumatic brain injury and post traumatic stress disorder symptoms

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Lisa eBrenner

2012-03-01

Full Text Available Military personnel are returning from Iraq and Afghanistan and reporting non-specific physical (somatic, behavioral, psychological, and cognitive symptoms. Many of these symptoms are frequently associated with mild traumatic brain injury (mTBI and/or post traumatic stress disorder (PTSD. Despite significant attention and advances in assessment and intervention for these two conditions, challenges persist. To address this, clinically relevant blast models are essential in the full characterization of this type of injury, as well as in the testing and identification of potential treatment strategies. In this publication, existing diagnostic challenges and current treatment practices for mTBI and/or PTSD will be summarized, along with suggestions regarding how what has been learned from existing models of PTSD and traditional mechanism (e.g., non-blast TBI can be used to facilitate the development of clinically relevant blast models.

The Role and Clinical Relevance of Disseminated Tumor Cells in Breast Cancer

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Malgorzata Banys

2014-01-01

Full Text Available Tumor cell dissemination is a common phenomenon observed in most cancers of epithelial origin. One-third of breast cancer patients present with disseminated tumor cells (DTCs in bone marrow at time of diagnosis; these patients, as well as patients with persistent DTCs, have significantly worse clinical outcome than DTC-negative patients. Since DTC phenotype may differ from the primary tumor with regard to ER and HER2 status, reevaluation of predictive markers on DTCs may optimize treatment choices. In the present review, we report on the clinical relevance of DTC detection in breast cancer.

Potential and relevance of urban mining in the context of sustainable cities

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Rachna Arora

2017-09-01

Full Text Available The objective of urban mining is the safeguarding of the environment and the promotion of resource conservation through reuse, recycling, and recovery of secondary resources from waste. Urban mining maximises the resource and economic value of the waste streams generated in urban spaces and will be a significant concept in the planning and designing of sustainable cities, making the process consistent with the sustainable development goals. This review article brings out comprehensive information on urban mining as a concept and its relevance to the Indian and international context as a source of secondary raw material.

Identifying and exploiting trait-relevant tissues with multiple functional annotations in genome-wide association studies.

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Xingjie Hao

2018-01-01

Full Text Available Genome-wide association studies (GWASs have identified many disease associated loci, the majority of which have unknown biological functions. Understanding the mechanism underlying trait associations requires identifying trait-relevant tissues and investigating associations in a trait-specific fashion. Here, we extend the widely used linear mixed model to incorporate multiple SNP functional annotations from omics studies with GWAS summary statistics to facilitate the identification of trait-relevant tissues, with which to further construct powerful association tests. Specifically, we rely on a generalized estimating equation based algorithm for parameter inference, a mixture modeling framework for trait-tissue relevance classification, and a weighted sequence kernel association test constructed based on the identified trait-relevant tissues for powerful association analysis. We refer to our analytic procedure as the Scalable Multiple Annotation integration for trait-Relevant Tissue identification and usage (SMART. With extensive simulations, we show how our method can make use of multiple complementary annotations to improve the accuracy for identifying trait-relevant tissues. In addition, our procedure allows us to make use of the inferred trait-relevant tissues, for the first time, to construct more powerful SNP set tests. We apply our method for an in-depth analysis of 43 traits from 28 GWASs using tissue-specific annotations in 105 tissues derived from ENCODE and Roadmap. Our results reveal new trait-tissue relevance, pinpoint important annotations that are informative of trait-tissue relationship, and illustrate how we can use the inferred trait-relevant tissues to construct more powerful association tests in the Wellcome trust case control consortium study.

The Quality of Life and relevant Approaches based on Capabilities and Functionalities

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Matei Șimandan

2014-12-01

Full Text Available Recent research regarding the quality of life developed different approaches concerning the use of objective and subjective indicators, as well as the relevance of hypotheses, propositions and methods of analysis or of evaluation. Starting from the conceptual difficulties regarding the term of ‘quality of life’, this article focuses upon the contributions of Amartya Sen on the relationships between resources, liberties, capabilities, functionalities and human development. A separate section attempts to capture the shift of accent from the approaches of a quantitative type towards those of a qualitative type, founded on capabilities, functionalities, and the factors of conversion of resources into elements of quality of subjective life. The following sections are consecrated to the contributions to the development of the model proposed by Amartya Sen and to the reception of this model by a few specialists in the field, as well as to its relevance within scientific research and the foundation of public policies.

Can abstract screening workload be reduced using text mining? User experiences of the tool Rayyan.

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Olofsson, Hanna; Brolund, Agneta; Hellberg, Christel; Silverstein, Rebecca; Stenström, Karin; Österberg, Marie; Dagerhamn, Jessica

2017-09-01

One time-consuming aspect of conducting systematic reviews is the task of sifting through abstracts to identify relevant studies. One promising approach for reducing this burden uses text mining technology to identify those abstracts that are potentially most relevant for a project, allowing those abstracts to be screened first. To examine the effectiveness of the text mining functionality of the abstract screening tool Rayyan. User experiences were collected. Rayyan was used to screen abstracts for 6 reviews in 2015. After screening 25%, 50%, and 75% of the abstracts, the screeners logged the relevant references identified. A survey was sent to users. After screening half of the search result with Rayyan, 86% to 99% of the references deemed relevant to the study were identified. Of those studies included in the final reports, 96% to 100% were already identified in the first half of the screening process. Users rated Rayyan 4.5 out of 5. The text mining function in Rayyan successfully helped reviewers identify relevant studies early in the screening process. Copyright © 2017 John Wiley & Sons, Ltd.

Relevant Skills for Criminal Accounting Expertise: The Perception of Federal Police Experts and Delegates

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Carlos Roberto dos Santos Filho

2017-03-01

Full Text Available This research aimed to identify which skills are considered most relevant to the practice of criminal accounting expertise in Brazil. As in international research, the skills perceived as most relevant were written communication, deductive analysis and critical thinking. Among the less relevant skills were the interview and the solution and negotiation of conflicts. In the second part, while experts and delegates jointly consider written communication to be the most present skills, delegates diverge from experts in terms of critical thinking and serenity. In addition, the respondents indicated skills that had not been investigated, and the most cited skills were proactivity, objectivity and updating. In the light of forensic accounting, the research method used was the survey, using a predefined questionnaire with open and closed questions, which 144 respondents answered. The study was divided into three parts: the first about the perceived relevance of the skills, the second about the perceived practical application of skills and the third part allowed the respondents to contribute with suggestions of skills that were considered relevant but did not figure among the skills investigated. The study contributes to the establishment of curricular guidelines for undergraduate and postgraduate courses related to the training of skills considered relevant for the training of future professionals and for the improvement of criminal accounting experts. Finally, we observe that the skills investigated and suggested can contribute to all areas of accounting expertise.

The film’s the thing: film translation and its effect on a silent, edited and full text Hamlet The film’s the thing: film translation and its effect on a silent, edited and full text Hamlet

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Janete R. Costa

2008-04-01

Full Text Available Translation is, at its best, a difficult path to tred, especially in a global, multicultural society. A word that defines an object may be in need of careful consideration and modification, not only to convey its individual meaning, but also to place it in the concept or intent when linked with others words forming a thought. The process is particularly complex when pairing a word with an image as is done in film. In the 1960’s, the American television classic, Star Trek, added new words as well as additional meaning to old words in the English lexicon. The definition of these words was clearly given in visual images that can still be recalled today. A typical exchange of dialogue may read: Captain, according to my tricorder, there is no intelligent life on this planet. Beam him up, Scotty. Energise. Translation is, at its best, a difficult path to tred, especially in a global, multicultural society. A word that defines an object may be in need of careful consideration and modification, not only to convey its individual meaning, but also to place it in the concept or intent when linked with others words forming a thought. The process is particularly complex when pairing a word with an image as is done in film. In the 1960’s, the American television classic, Star Trek, added new words as well as additional meaning to old words in the English lexicon. The definition of these words was clearly given in visual images that can still be recalled today. A typical exchange of dialogue may read: Captain, according to my tricorder, there is no intelligent life on this planet. Beam him up, Scotty. Energise.

Relevance Theory as an approach to interpreting the Bible for children: The Lucan version of the Lord�s Prayer as a test case

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Annette H. Evans

2014-01-01

Full Text Available Recent research has demonstrated that children are sensitive to the underlying causal structureof the world and seek to form new causal representations at a much earlier age than hadpreviously been supposed. Modern scientific understanding of the evolution of life conflictswith the biblical representation of earth as the centre of the world, and of human beings as theimago Dei. Consequently, young children frequently experience cognitive dissonance whenexposed to biblical texts. Two previous pilot studies utilising specifically designed illustratedbooklets demonstrated that children respond more readily to a text that is relevant to their owncultural context. This article tests the possibility of presenting a universally relevant biblicaltext (Lk 11:2b�4 to young children in a form that does not conflict with modern science andtakes aspects of recent research on child psychology into account.Intradisciplinary and/or interdisciplinary implications: In our postmodern culturalcontext children tend to experience cognitive dissonance when exposed to biblical texts,and consequently lose interest. This article proposes that by presenting the biblical contentin accordance with Relevance Theory, and in coherence with recent scientific explanatorytheories, the interest of the children may be sustained.

An evidence perspective on topical relevance types and its implications for exploratory and task-based retrieval

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Xiaoli Huang

2006-01-01

Full Text Available Introduction. The concept of relevance lies at the heart of intellectual access and information retrieval, indeed of reasoning and communication in general; in turn, topical relevance lies at the heart of relevance. The common view of topical relevance is limited to topic matching, resulting in information retrieval systems' failure to detect more complex topical connections which are needed to respond to diversified user situations and tasks. Method. Based on the role a piece of information plays in the overall structure of an argument, we have identified four topical relevance types: Direct, Indirect (circumstantial, Context, and Comparison. In the process of creating a speech retrieval test collection, graduate history students made 27,000 topical relevance assessments between Holocaust survivor interview segments and real user topics, using the four relevance types, each on a scale of 0 to 4. They recorded justifications for their assessments and kept detailed Topic Notes. Analysis. We analysed these relevance assessments using a grounded theory approach to arrive at a finer classification of topical relevance types. Results. For example, indirect relevance(a piece of information is connected to the topic indirectly through inference, circumstantial evidence was refined to Generic Indirect Relevance, Backward Inference (abduction, Forward Inference (deduction, and Inference from Cases (induction, with each subtype being further illustrated and explicated by examples. Conclusion. Each of these refined types of topical relevance plays a special role in reasoning, making a conclusive argument, or performing a task. Incorporating them into information retrieval systems allows users more flexibility and a better focus on their tasks. They can also be used in teaching reasoning skills.

Media and mental illness: Relevance to India

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S K Padhy

2014-01-01

Full Text Available Media has a complex interrelationship with mental illnesses. This narrative review takes a look at the various ways in which media and mental illnesses interact. Relevant scientific literature and electronic databases were searched, including Pubmed and GoogleScholar, to identify studies, viewpoints and recommendations using keywords related to media and mental illnesses. This review discusses both the positive and the negative portrayals of mental illnesses through the media. The portrayal of mental health professionals and psychiatric treatment is also discussed. The theories explaining the relationship of how media influences the attitudes and behavior are discussed. Media has also been suggested to be a risk factor for the genesis or exacerbation of mental illnesses like eating disorders and substance use disorders. The potential use of media to understand the psychopathology and plight of those with psychiatric disorders is referred to. The manner in which media can be used as a tool for change to reduce the stigma surrounding mental illnesses is explored.

Full Waveform Analysis for Long-Range 3D Imaging Laser Radar

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Wallace AndrewM

2010-01-01

Full Text Available The new generation of 3D imaging systems based on laser radar (ladar offers significant advantages in defense and security applications. In particular, it is possible to retrieve 3D shape information directly from the scene and separate a target from background or foreground clutter by extracting a narrow depth range from the field of view by range gating, either in the sensor or by postprocessing. We discuss and demonstrate the applicability of full-waveform ladar to produce multilayer 3D imagery, in which each pixel produces a complex temporal response that describes the scene structure. Such complexity caused by multiple and distributed reflection arises in many relevant scenarios, for example in viewing partially occluded targets, through semitransparent materials (e.g., windows and through distributed reflective media such as foliage. We demonstrate our methodology on 3D image data acquired by a scanning time-of-flight system, developed in our own laboratories, which uses the time-correlated single-photon counting technique.

The actual relevance of ecological corridors in nature conservation

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Ćurčić Nina B.

2013-01-01

Full Text Available The paper considers theoretical and applied foundations of the concept of the ecological corridors in nature conservation. Their relevance comes from recent ecological phenomenon of habitat fragmentation which is rapidly increasing during last decades. Habitat fragmentation is one of the main threats to richness and diversity of wildlife. Ecological corridors can mitigate the loss and fragmentation of habitat. Corridors perform as “bridges” between habitats for species and they provide a flow of the natural or even anthropogenic caused disturbances. In this paper we will present the meaning and significance of ecological corridors in nature conservation, as well as types of ecological corridors and their ecological benefits. Methodological and practical approaches in nature protection system in Serbia are included. [Projekat Ministarstva nauke Republike Srbije, br. 47007 i br. 176008

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

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Ma'ayan Avi

2011-10-01

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

Symposium: How (If at All is Gender Relevant to Comparative Philosophy?

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Nkiru Nzegwu

2016-12-01

Full Text Available The symposium, “How (if at all is gender relevant to comparative philosophy,” focuses on relevance of gender as an analytic and critical tool in comparative philosophical understanding and debate. Nkiru Nzegwu argues that gender as conceived by contemporary Euro-American feminism did not exist in pre-colonial Yorùbá as well as many Native American societies, and that therefore employing gender as a conceptual category in understanding the philosophies of pre-colonial Yorùbá and other non-gendered societies constitutes a profound mistake. What’s more, doing so amounts to a totalizing Euro-American colonial imposition that does violence to nongendered societies that reject gender as an ontological category. Hence, gender is ill-suited as a universal comparative philosophical tool. Nzegwu’s three co-symposiasts, Mary I. Bockover, Maitrayee Chaudhuri, and María Luisa Femenías enrich and complicate this question by bringing to bear both conceptual, ethical and empirical considerations drawn from the United States, India, and Latin America respectively.

Types of Lexicographical Information Needs and their Relevance for Information Science

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Bergenholtz, Henning

2017-09-01

Full Text Available In some situations, you need information in order to solve a problem that has occurred. In information science, user needs are often described through very specific examples rather than through a classification of situation types in which information needs occur. Furthermore, information science often describes general human needs, typically with a reference to Maslow's classification of needs (1954, instead of actual information needs. Lexicography has also focused on information needs, but has developed a more abstract classification of types of information needs, though (until more recent research into lexicographical functions with a particular interest in linguistic uncertainties and the lack of knowledge and skills in relation to one or several languages. In this article, we suggest a classification of information needs in which a tripartition has been made according to the different types of situations: communicative needs, cognitive needs, and operative needs. This is a classification that is relevant and useful in general in our modern information society and therefore also relevant for information science, including lexicography.

WHEN RELEVANCE DECENTERS CRITICALITY: THE CASE OF THE SOUTH AFRICAN NATIONAL CRIME, VIOLENCE AND INJURY LEAD PROGRAMME

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Mohamed Seedat

2010-11-01

Full Text Available Following the formal demise of political apartheid in SouthAfrica in 1994, critical and community-centred psychologistshave tended to obtain relevance through alignment with thetenets of social justice and the larger democratic project. Thisarticle draws on the experiences of the Crime, Violence andInjury Lead Programme (CVI to illustrate how particularformulations of scientific and social relevance function tomarginalize criticality and critical scholarship. The authorsuggests that relevance without criticality produces forms ofintellectual activity that privilege empiricist traditions, perpetrate a binary between research and research translation, andreproduce the myth that intervention work is atheoretical.The review of the CVI serves as a reminder of the challengesinherent in enactments of critical psychology. Among themany issues that critical psychology oriented initiatives likeCVI have to contend with is the task of developing theoreticaland other resources to move between co-operation and critiquein the service of democratic development.

The effects of audit quality on the value relevance of other comprehensive incomes

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Levinska Primavera

2015-06-01

Full Text Available Stockholders claim deals with handling crucial role to investors while another ac-counting measurement has not yet been paid attention by the investors and analysts. Beside, another comprehensive income despite of its equal role to net income also re-quires a deep concern. This research uses financial industry data in Indonesia Capital Market for 2011-2012 under panel method and also cross-section method as the addi-tional analysis. This research assesses the effect of audit quality on value relevance of other comprehensive income regarding subjectivity embedded in other comprehensive income components. These components are determined through fair value aspects, which eventually lead to management discretion in measuring other comprehensive income components. Subjective components of other comprehensive incomes consist of foreign exchange translation (forex, revaluation in fixed assets (rev, minimum pension liability adjustment (pen, and available-for-sale securities adjustment (sec. The audit quality is believed as a mechanism which can increase the value relevance of subjective of other comprehensive income components. On the other hand, when as-sessing the value relevance of other comprehensive income components both indivi-dually and in aggregate, it is encouraged by inconsistency of previous research results.

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

Science.gov (United States)

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

2009-12-01

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

Relevant problems in collaborative processes of non-hierarchical manufacturing networks

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Beatriz Andrés

2013-07-01

Full Text Available Purpose: The purpose of this paper is to identify some of existing problems associated with collaboration among SMEs of the same network. Concretely, the problems are focused. The research objective is to identify the most relevant problems existing when SMEs have to deal with decentralized decisions (DDM. Design/methodology/approach: Through the literature review there have been collected collaborative problems caused by inter-organizational barriers. The approach taken is a qualitative study and analysis that classifies collaborative problems from less important to very important. In light of this, we are able to identify what are the most relevant problems to study in the NHN collaborative context. Findings and Originality/value: The developed methodology allows researchers to indentify amongst the collaborative problems those that are most relevant to solve in the NHN context, with the main aim of providing solutions in the future. The research aim is to provide the expert in the collaborative field a starting point to address the collaborative problems SMEs can find when belonging to collaborative networks. Research limitations/implications: Not all the problems that appear when an SME establish collaborative relationships, in a NHN, are considered. The identified problems have been arisen because there are discussed in the literature for addressing collaborative problems among networked partners. Identified problems are also considered because there are relevant to achieve collaboration among SMEs. Originality/value: The degree of coverage and the degree of significance is the taxonomy criteria used to identify the importance of solution degree of the encountered collaborative problems, in NHN context, in order to provide a future research of solutions to overcome them.

The Relevance of Cultural and Media Studies to Theatre and Television in Bali

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Mark Hobart

2011-11-01

Full Text Available Abstract A critical approach to Balinese society presents a starkly different picturefrom the representations that Balinese usually tell themselves, whichare largely myths to disguise a painful reality. Bali no longer belongsto Balinese but to international capital, a process of alienation by whichBalinese energetically commoditize their culture while claiming theopposite. Even the frames of reference for discussing what is happeningare inadequate because they predate the rise of contemporary consumercapitalism and the mass media. That is why critical media and culturalstudies, disciplines designed precisely to address such phenomena, arepotentially so relevant for Indonesian intellectuals.

Interaction of dermatologically relevant nanoparticles with skin cells and skin

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Annika Vogt

2014-12-01

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

Self-Assessment of Vocabulary and Relevant Language Skills for Evaluation Purposes

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Violeta Janulevičienė

2011-04-01

Full Text Available Learner self-assessment of linguistic performance has been lately used due to its potential to activate the process of learning. Self-assessment raises learner awareness of language use and leads to developing learner responsibility and autonomy. However, usefulness of self-assessment for evaluation purposes has been scarcely researched. This paper examines some aspects of learners’ self-assessment for evaluation purposes at tertiary level. Research focuses on self-assessment of English for Specific Purposes (ESP vocabulary and some language skills relevant for vocabulary retention. Data on learner self-assessment are compared to actual results in tests. The analysis provided points to importance of self-evaluation in language acquisition and suggests practical implications of self-assessment for evaluation.

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

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Thomas Osborne

2016-08-01

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

Sustainability Reporting and Value Relevance of Financial Statements

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Bambang Sutopo

2018-03-01

Full Text Available This study examines whether information about the winners of the Sustainability Reporting Award (SRA contributes to the usefulness of the information in financial statements. This study used a sample consisting of 110 winners of SRA (SRA firms and 110 companies that did not receive SRA (non-SRA firms from 2008 to 2016. The study found that earnings per share (EPS, earnings per share change (EPSC, and book value per share (BVPS are value-relevant information. Results of comparison between SRA firms and non-SRA firms show that the positive association between EPS and stock price (P and the positive association of EPS with stock returns (R for SRA firms are higher than that for the non-SRA firms. In addition, findings of this study indicate that EPSC is positively associated with R when EPSC and R are measured by Indonesian rupiah (IDR instead of by percentage, and the positive association between EPSC and R for the SRA firms is higher than that for the non-SRA firms. Thus, the results are sensitive to measures of the variables. However, this study found that value relevance of BVPS for SRA firms is lower than for non-SRA firms. Implication of this study is that information about the winners of SRA contributes to the usefulness of financial statements, especially the information of EPS and EPSC.

TASK RELEVANCE IN THE DESIGN OF ONLINE PROFESSIONAL DEVELOPMENT FOR TEACHERS OF ELLs: A Q Methodology Study

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Linda J. COLLINS

2014-07-01

Full Text Available Online professional development (oPD for teachers should focus on designing web-based learning opportunities that help practicing educators solve the tough problems of practice when working in their schools. Technology, pedagogy, and content knowledge can be integrated in the design of online professional development modules to enhance task relevance for maximum learning and transformation. The purpose of this study was to learn which tasks in an online professional development module were ranked by in-service educators as relevant to their work with English language learners (ELLs. Using Q methodology, the researcher asked participants to rank the relevancy of 36 online tasks from an online professional development module designed and developed at an American university. Participants used a -5 to 5 forced distribution to rank online activities from “Least relevant to my work with ELLs” to “Most relevant to my work with ELLs” followed by a semi-structured interview to explain their decisions. After data analysis, two factors emerged, indicating that participants’ perceptions on task relevance differed by professional roles and educational settings. The participants also favored didactic online tasks over interactive tasks. The findings from the oPD participants’ responses have the potential to serve as the basis for future online professional development design and for planning other relevant activities to be applied to the e-learning environment.

Pain-relevant anxiety affects desire for pain relief, but not pain perception

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Adriana Banozic

2017-01-01

Full Text Available Background: Pain context plays a significant role in the perception of pain. Despite recent interest in vicarious learning and anxiety in pain modulation, there have been no attempts to explore pain modulation by specific environmental cues. Aims: Therefore, the present study evaluated pain responses in the condition that was attributed as either anxiety relevant (AR or anxiety irrelevant. Materials and Methods: Participants were exposed to both conditions through social observational learning. Pain perception was assessed by means of a visual analog scale ranging from 0 = no pain to 10 = maximum imaginable pain. State anxiety, empathy, expectancy, and desire for pain relief were also measured at both neutral and emotionally inducing conditions. Results: No effect of relevancy of anxiety for the pain context on any of the pain-related constructs was found. However, participants in the AR condition reported an increased desire for pain relief. Maximizing similarities between observed and experienced pain context did not enhance observational learning effects in the emotionally inducing condition regardless of its relevance, but significant changes were found in comparison to the affectively neutral group. Conclusions: These results could have potentially significant clinical implications suggesting that even though observing painful procedures does not increase pain it could affect medication usage.

The relevance of accounting information enclosed in performance indicators

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Mihaela-Cristina Onica

2012-12-01

Full Text Available This research study is analyzing the relevance of accounting information reflected through the elaboration of firm performance variables and administration because of the necessity of performance to be administrated. The subject of the theme is enclosed in current development of accounting norms at national , european, (Directives and international levels (IAS/IFRS. The analyised topic is based upon the capabilty of accounting to generate information , throug synthesis calculus being settled the nature , the characteristics and the informational valences of financial performance of an organization. The accounting infromation is base for performing the decison process. The rol of accounting in insurring the relevance and comparability of information increased significantly, being already indispensable. A real solution for communication misunderstanig elimination emerged, as result of diputes in perception and interpretation of economic information, as results for the national speciffic norms.The economic communication is demanding for firm not only in its expression but in thinking and in the process of method conceptualization of organization and administration. A detailed financial situation analysis, which are employing annual financial analysis procedures, underling the performance and risks influencing factors, are considering one starting point for addressing the issue. The introduced variables are insuring a whole vision of firm activity and an appropriate strategy for results significance.

Streptococcus pyogenes biofilms – formation, biology,and clinical relevance

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Tomas eFiedler

2015-02-01

Full Text Available Streptococcus pyogenes (group A streptococci, GAS is an exclusive human bacterial pathogen. The virulence potential of this species is tremendous. Interactions with humans range from asymptomatic carriage over mild and superficial infections of skin and mucosal membranes up to systemic purulent toxic-invasive disease manifestations. Particularly the latter are a severe threat for predisposed patients and lead to significant death tolls worldwide. This places GAS among the most important Gram-positive bacterial pathogens. Many recent reviews have highlighted the GAS repertoire of virulence factors, regulators and regulatory circuits/networks that enable GAS to colonize the host and to deal with all levels of the host immune defense. This covers in vitro and in vivo studies, including animal infection studies based on mice and more relevant, macaque monkeys. It is now appreciated that GAS, like many other bacterial species, do not necessarily exclusively live in a planktonic lifestyle. GAS is capable of microcolony and biofilm formation on host cells and tissues. We are now beginning to understand that this feature significantly contributes to GAS pathogenesis. In this review we will discuss the current knowledge on GAS biofilm formation, the biofilm-phenotype associated virulence factors, regulatory aspects of biofilm formation, the clinical relevance, and finally contemporary treatment regimens and future treatment options.

English Metafunction Analysis in Chemistry Text: Characterization of Scientific Text

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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.

Plagiarism in Academic Texts

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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.

Expert versus novice differences in the detection of relevant information during a chess game: Evidence from eye movements

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Heather eSheridan

2014-08-01

Full Text Available The present study explored the ability of expert and novice chess players to rapidly distinguish between regions of a chessboard that were relevant to the best move on the board, and regions of the board that were irrelevant. Accordingly, we monitored the eye movements of expert and novice chess players, while they selected white’s best move for a variety of chess problems. To manipulate relevancy, we constructed two different versions of each chess problem in the experiment, and we counterbalanced these versions across participants. These two versions of each problem were identical except that a single piece was changed from a bishop to a knight. This subtle change reversed the relevancy map of the board, such that regions that were relevant in one version of the board were now irrelevant (and vice versa. Using this paradigm, we demonstrated that both the experts and novices spent more time fixating the relevant relative to the irrelevant regions of the board. However, the experts were faster at detecting relevant information than the novices, as shown by the finding that experts (but not novices were able to distinguish between relevant and irrelevant information during the early part of the trial. These findings further demonstrate the domain-related perceptual processing advantage of chess experts, using an experimental paradigm that allowed us to manipulate relevancy under tightly controlled conditions.

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

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Barate Seema

2016-01-01

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

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

Science.gov (United States)

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

2015-01-01

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

To bail out or not to bail out systemically relevant financial institutions: The incentives of policy makers

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Lucas Marc Fuhrer

2012-11-01

Full Text Available The recent financial crisis has shown that many financial institutions may be systemically relevant. Their bankruptcy would cause significant costs for the overall economy. However, a clear definition of systemic risks still does not exist. Thus, the decision, whether an institution is, or is not systemically relevant is in the end made by policy makers. This paper takes a closer look at the incentives available to policy makers and their influence on the bailout decision. In the model presented here it is possible to show, that too many financial institutions get bailed out, when assuming that policy makers tend to be more risk-averse than socially optimal. The costs due to this misallocation of resources can be significant.

Semi-Spontaneous Oral Text Production: Measurements in Clinical Practice

Science.gov (United States)

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

2009-01-01

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

The Social Costs of Electricity Generation—Categorising Different Types of Costs and Evaluating Their Respective Relevance

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Sascha Samadi

2017-03-01

Full Text Available Various electricity generation technologies using different primary energy sources are available. Many published studies compare the costs of these technologies. However, most of those studies only consider plant-level costs and do not fully take into account additional costs that societies may face in using these technologies. This article reviews the literature on the costs of electricity generation technologies, aiming to determine which types of costs are relevant from a societal point of view when comparing generation technologies. The paper categorises the relevant types of costs, differentiating between plant-level, system and external costs as the main categories. It discusses the relevance of each type of cost for each generation technology. The findings suggest that several low-carbon electricity generation technologies exhibit lower social costs per kWh than the currently dominant technologies using fossil fuels. More generally, the findings emphasise the importance of taking not only plant-level costs, but also system and external costs, into account when comparing electricity generation technologies from a societal point of view. The article intends to inform both policymakers and energy system modellers, the latter who may strive to include all relevant types of costs in their models.

Relevant Factors in The Post-Merger Systems Integration and Information Technology in Brazilian Banks

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Marcel Ginotti Pires

2017-01-01

Full Text Available This article discusses the factors present in post-merger integration of Systems and Information Technology (SIT that lead to positive and negative results in mergers and acquisitions (M & A. The research comprised three of the largest acquiring banks in Brazil. We adopted two methods of research, qualitative, to operationalize the theoretical concepts and quantitative, to test the hypotheses. We interviewed six executives of banks that held relevant experience in M & A processes. Subsequently, we applied questionnaires to IT professionals who were involved in the SIT integration processes. The results showed that the quality and expertise of the integration teams and managing the integration were the most relevant factors in the processes, with positive results for increased efficiency and the increased capacity of SIT. Negative results were due to failures in exploiting learning opportunities, the loss of employees and the inexpressive record of integration procedures.

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

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Barbara eFenesi

2015-07-01

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

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

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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.

THE IMPACT OF AUDITOR AFFILIATION ON FINANCIAL STATEMENT RELEVANCE

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Radu-Daniel LOGHIN

2017-12-01

Full Text Available The role of the audit report is to provide a level of trust to the professional judgment behind the financial statements of a company. The market for audit services is not a homogenous one, and large audit partners known as the Big 4 dominate with their partner networks in both developed and emerging markets. The scientific literature provides a rich background of studies linking auditor affiliation and auditor independence. The current exploratory paper tries to approach the issue of auditor independence and affiliation by drawing on the Ohlson model for a sample of 552 firm-year observations from the Borsa Istanbul, covering the 2014 and 2015 financial periods. The results reveal a strong correlation for the year 2015 between the Big 4 affiliation and the value of the equities, possibly suggesting a correlation between auditor independence and financial statement relevance.

RELEVANCE OF ECONOMIC INSTRUMENTS USED IN SUSTAINABLE DEVELOPMENT PROCESS

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SORINA-GEANINA MĂRGĂRIT (STĂNESCU

2011-01-01

Full Text Available The interaction between environmental, economic and social factors influences the ecological balance and generates the change of living conditions and those of socio-economic development. One of the essential conditions for building a sustainable economic development is the identification and implementation of active or voluntary instruments to influence economic and social activity towards ensuring their sustainability. In this paper, we intend to introduce the tools used in the process of sustainable development, which have a key role in adopting an environmentally responsible behavior. The results of this study are represented by the drafting of the advantages and disadvantages of using these economic and financial instruments. The purpose of this paper is to present the evolution of costs for environmental protection and the relevance of instruments used at the national level in environmental protection.

Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects

DEFF Research Database (Denmark)

Cong, Gao; Jensen, Christian Søndergaard; Wu, Dingming

2009-01-01

The conventional Internet is acquiring a geo-spatial dimension. Web documents are being geo-tagged, and geo-referenced objects such as points of interest are being associated with descriptive text documents. The resulting fusion of geo-location and documents enables a new kind of top-k query...... that takes into account both location proximity and text relevancy. To our knowledge, only naive techniques exist that are capable of computing a general web information retrieval query while also taking location into account. This paper proposes a new indexing framework for location-aware top-k text...... both text relevancy and location proximity to prune the search space. Results of empirical studies with an implementation of the framework demonstrate that the paper’s proposal offers scalability and is capable of excellent performance....

The Combined Effects of Financial Derivatives and Discretionary Accruals on the Value Relevance of Earnings and the Book Value of Equity

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Etty Murwaningsari

2015-08-01

Full Text Available This study aimed to understand (1 the association between the use of discretionary accruals and financial derivatives, taking into consideration the implementation of revised PSAK 55 (1999, which was adopted from SFAS 133; (2 the combined effects of derivatives and discretionary accruals on the value relevance of earnings and equity. The analysis used panel data regressions and the Wald test over the period from 2001-2008. The results showed a positive or complementary association between derivatives and discretionary accruals. The positive association implied that managers tended to intensify the use of discretionary accruals to offset a higher use of derivatives. Price and return models demonstrated negative significant effects of derivatives on the value relevance of earnings. The return model showed negative significant effects of discretionary accruals on the value relevance of earnings but negative effects on the value relevance of equity with the price model.

Relevance feature selection of modal frequency-ambient condition pattern recognition in structural health assessment for reinforced concrete buildings

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He-Qing Mu

2016-08-01

Full Text Available Modal frequency is an important indicator for structural health assessment. Previous studies have shown that this indicator is substantially affected by the fluctuation of ambient conditions, such as temperature and humidity. Therefore, recognizing the pattern between modal frequency and ambient conditions is necessary for reliable long-term structural health assessment. In this article, a novel machine-learning algorithm is proposed to automatically select relevance features in modal frequency-ambient condition pattern recognition based on structural dynamic response and ambient condition measurement. In contrast to the traditional feature selection approaches by examining a large number of combinations of extracted features, the proposed algorithm conducts continuous relevance feature selection by introducing a sophisticated hyperparameterization on the weight parameter vector controlling the relevancy of different features in the prediction model. The proposed algorithm is then utilized for structural health assessment for a reinforced concrete building based on 1-year daily measurements. It turns out that the optimal model class including the relevance features for each vibrational mode is capable to capture the pattern between the corresponding modal frequency and the ambient conditions.

Prevention of sexually transmitted diseases among visually impaired people: educational text validation 1

Science.gov (United States)

Oliveira, Giselly Oseni Barbosa; Cavalcante, Luana Duarte Wanderley; Pagliuca, Lorita Marlena Freitag; de Almeida, Paulo César; Rebouças, Cristiana Brasil de Almeida

2016-01-01

ABSTRACT Objective: to validate an educational text in the context of Sexually Transmitted Diseases (STD) for visually impaired persons, making it accessible to this population. Method: a validation study, in a virtual environment. Data collection occurred from May to September 2012 by emailing the subjects, and was composed by seven content experts about STDs. Analysis was based on the considerations of the experts about Objectives, Structure and Presentation, and Relevance. Results: on the Objectives and Structure and Presentation blocks, 77 (84.6%) and 48 (85.7%) were fully adequate or appropriate, respectively. In the Relevance block, items 3.2 - Allows transfer and generalization of learning, and 3.5 - Portrays aspects needed to clarify the family, showed bad agreement indices of 0.42 and 0.57, respectively. The analysis was followed by reformulating the text according to the relevant suggestions. Conclusion: the text was validated regarding the content of sexually transmitted diseases. A total of 35 stanzas were removed and nine others included, following the recommendations of the experts. PMID:27556880

Text mining by Tsallis entropy

Science.gov (United States)

Jamaati, Maryam; Mehri, Ali

2018-01-01

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

Value Relevance of available-for-sale financial instruments (AFS and revaluation surplus of PPE (REV components of other comprehensive income

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Yousefi Nejad Maryam

2017-01-01

Full Text Available Value relevance studies have thus far provided mixed evidence. Studies also found that fair value reporting has a significant impact on the value relevance of other comprehensive income. Additionally, most studies on value relevance of other comprehensive income focused on developed countries where the capital market is more efficient. In these settings due to the existence of active market, fair valuation of assets may not pose a major problem. In Malaysia the mandatory reporting of comprehensive income by all listed firms based on the requirement of FRS101, coincides with the adoption of FRS139 the standard for financial instrument and could be an interesting setting to investigate. This study hypothesized that other comprehensive income and its components are associated with share price. The results indicate that other comprehensive income and its components are value relevant. The results indicate that the move towards a more comprehensive income reporting through the preparation of the Statement of Comprehensive Income results in more informative financial reporting.

Deep learning relevance

DEFF Research Database (Denmark)

Lioma, Christina; Larsen, Birger; Petersen, Casper

2016-01-01

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

The world according to me: Personal relevance and the medial prefrontal cortex

Directory of Open Access Journals (Sweden)

Anna eAbraham

2013-07-01

Full Text Available More than a decade of neuroimaging research has established that anterior and posterior cortical midline regions are consistently recruited during self-referential thinking. These regions are engaged under conditions of directed cognition, such as during explicit self-reference tasks, as well as during spontaneous cognition, such as under conditions of rest. One of the many issues that remain to be clarified regarding the relationship between self-referential thinking and cortical midline activity is the functional specificity of these regions with regard to the nature of self-representation and processing. The functional profile associated with the medial prefrontal cortex (mPFC is the focus of the current article. What is specifically explored is the idea that personal relevance or personal significance is a central factor that impacts how brain activity is modulated within this cortical midline region. The proactive, imaginative and predictive nature of function in the mPFC is examined by evaluating studies of spontaneously-directed cognition, which is triggered by stimulus associated personal relevance.

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

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Adam Stančić

2016-10-01

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

Relevant sex appeals in advertising: Gender and commitment context differences

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Even J. Lanseng

2016-09-01

Full Text Available This research investigates differences in men’s and women’s attitudes toward ads featuring product-relevant sex appeals. It is found that women, but not men, were more negative toward an ad featuring an attractive opposite-sex model when their commitment thoughts were heightened. Women were also more negative toward an ad with an attractive same-sex model in the presence of commitment thoughts, but only when they scored high on sociosexuality. Men appeared unaffected, regardless of their level of sociosexuality. Commitment thoughts were manipulated by two types of prime, a parenting prime (study1 and a romantic prime (study 2.Results are explained by differences in how men and women react to sexual material and by differences in men’s and women’s evolved mating preferences.

Multimodal Diversity of Postmodernist Fiction Text

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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.

TEXT DEIXIS IN NARRATIVE SEQUENCES

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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.

Iterative Filtering of Retrieved Information to Increase Relevance

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Robert Zeidman

2007-12-01

Full Text Available Efforts have been underway for years to find more effective ways to retrieve information from large knowledge domains. This effort is now being driven particularly by the Internet and the vast amount of information that is available to unsophisticated users. In the early days of the Internet, some effort involved allowing users to enter Boolean equations of search terms into search engines, for example, rather than just a list of keywords. More recently, effort has focused on understanding a user's desires from past search histories in order to narrow searches. Also there has been much effort to improve the ranking of results based on some measure of relevancy. This paper discusses using iterative filtering of retrieved information to focus in on useful information. This work was done for finding source code correlation and the author extends his findings to Internet searching and e-commerce. The paper presents specific information about a particular filtering application and then generalizes it to other forms of information retrieval.

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

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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.

Clinically Relevant Anticancer Polymer Paclitaxel Therapeutics

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Danbo Yang

2010-12-01

Full Text Available The concept of utilizing polymers in drug delivery has been extensively explored for improving the therapeutic index of small molecule drugs. In general, polymers can be used as polymer-drug conjugates or polymeric micelles. Each unique application mandates its own chemistry and controlled release of active drugs. Each polymer exhibits its own intrinsic issues providing the advantage of flexibility. However, none have as yet been approved by the U.S. Food and Drug Administration. General aspects of polymer and nano-particle therapeutics have been reviewed. Here we focus this review on specific clinically relevant anticancer polymer paclitaxel therapeutics. We emphasize their chemistry and formulation, in vitro activity on some human cancer cell lines, plasma pharmacokinetics and tumor accumulation, in vivo efficacy, and clinical outcomes. Furthermore, we include a short review of our recent developments of a novel poly(L-g-glutamylglutamine-paclitaxel nano-conjugate (PGG-PTX. PGG-PTX has its own unique property of forming nano-particles. It has also been shown to possess a favorable profile of pharmacokinetics and to exhibit efficacious potency. This review might shed light on designing new and better polymer paclitaxel therapeutics for potential anticancer applications in the clinic.

Network analysis of named entity co-occurrences in written texts

Science.gov (United States)

Amancio, Diego Raphael

2016-06-01

The use of methods borrowed from statistics and physics to analyze written texts has allowed the discovery of unprecedent patterns of human behavior and cognition by establishing links between models features and language structure. While current models have been useful to unveil patterns via analysis of syntactical and semantical networks, only a few works have probed the relevance of investigating the structure arising from the relationship between relevant entities such as characters, locations and organizations. In this study, we represent entities appearing in the same context as a co-occurrence network, where links are established according to a null model based on random, shuffled texts. Computational simulations performed in novels revealed that the proposed model displays interesting topological features, such as the small world feature, characterized by high values of clustering coefficient. The effectiveness of our model was verified in a practical pattern recognition task in real networks. When compared with traditional word adjacency networks, our model displayed optimized results in identifying unknown references in texts. Because the proposed representation plays a complementary role in characterizing unstructured documents via topological analysis of named entities, we believe that it could be useful to improve the characterization of written texts (and related systems), specially if combined with traditional approaches based on statistical and deeper paradigms.

EXTRACELLULAR VESICLES: CLASSIFICATION, FUNCTIONS AND CLINICAL RELEVANCE

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A. V. Oberemko

2014-12-01

Full Text Available This review presents a generalized definition of vesicles as bilayer extracellular organelles of all celular forms of life: not only eu-, but also prokaryotic. The structure and composition of extracellular vesicles, history of research, nomenclature, their impact on life processes in health and disease are discussed. Moreover, vesicles may be useful as clinical instruments for biomarkers, and they are promising as biotechnological drug. However, many questions in this area are still unresolved and need to be addressed in the future. The most interesting from the point of view of practical health care represents a direction to study the effect of exosomes and microvesicles in the development and progression of a particular disease, the possibility of adjusting the pathological process by means of extracellular vesicles of a particular type, acting as an active ingredient. Relevant is the further elucidation of the role and importance of exosomes to the surrounding cells, tissues and organs at the molecular level, the prospects for the use of non-cellular vesicles as biomarkers of disease.

Connected text reading and differences in text reading fluency in adult readers.

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Sebastian Wallot

Full Text Available The process of connected text reading has received very little attention in contemporary cognitive psychology. This lack of attention is in parts due to a research tradition that emphasizes the role of basic lexical constituents, which can be studied in isolated words or sentences. However, this lack of attention is in parts also due to the lack of statistical analysis techniques, which accommodate interdependent time series. In this study, we investigate text reading performance with traditional and nonlinear analysis techniques and show how outcomes from multiple analyses can used to create a more detailed picture of the process of text reading. Specifically, we investigate reading performance of groups of literate adult readers that differ in reading fluency during a self-paced text reading task. Our results indicate that classical metrics of reading (such as word frequency do not capture text reading very well, and that classical measures of reading fluency (such as average reading time distinguish relatively poorly between participant groups. Nonlinear analyses of distribution tails and reading time fluctuations provide more fine-grained information about the reading process and reading fluency.

Research Courses in Education Leadership Programs: Relevance in an Era of Accountability

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Rebecca M. Bustamante

2011-05-01

Full Text Available Master’s degree research course offerings of 72 university education leadership programs were examined to explore how relevant the courses were to the inquiry needs of practicing school leaders. Research course titles and descriptions were analyzed using content analysis. Findings revealed considerable variation in research course requirements, course titles, and course descriptions. Analysis of course descriptions indicated minimal emphasis on the research skills required for school improvement. Results also suggested a lack of consensus on the importance of developing research skills for school leaders across university education leadership programs. Implications for education leadership preparation programs are discussed with an emphasis on the need for further studies on the research skills required by practicing school leaders.

Is the Appropriateness of Emotions Culture-Dependent? The Relevance of Social Meaning

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Welpinghus Anna

2018-02-01

Full Text Available This paper contributes to the question to what extent the socio-cultural context is relevant for the appropriateness of emotions, while appropriateness of an emotion means that the emotion entails a correct, or adequate, evaluation of its object. In a first step, two adequacy conditions for theories of emotions are developed: the first condition ensures that the socio-cultural context is not neglected: theories must allow for the fact that appropriateness often depends on the social meaning of the emotion’s particular object. The second condition rules out implausible forms of cultural determinism. In a second step, an account that meets both conditions is presented: the Acceptance within Social Context account.

Feature relevance assessment for the semantic interpretation of 3D point cloud data

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M. Weinmann

2013-10-01

Full Text Available The automatic analysis of large 3D point clouds represents a crucial task in photogrammetry, remote sensing and computer vision. In this paper, we propose a new methodology for the semantic interpretation of such point clouds which involves feature relevance assessment in order to reduce both processing time and memory consumption. Given a standard benchmark dataset with 1.3 million 3D points, we first extract a set of 21 geometric 3D and 2D features. Subsequently, we apply a classifier-independent ranking procedure which involves a general relevance metric in order to derive compact and robust subsets of versatile features which are generally applicable for a large variety of subsequent tasks. This metric is based on 7 different feature selection strategies and thus addresses different intrinsic properties of the given data. For the example of semantically interpreting 3D point cloud data, we demonstrate the great potential of smaller subsets consisting of only the most relevant features with 4 different state-of-the-art classifiers. The results reveal that, instead of including as many features as possible in order to compensate for lack of knowledge, a crucial task such as scene interpretation can be carried out with only few versatile features and even improved accuracy.

Estimating the relevance of world disturbances to explain savings, interference and long-term motor adaptation effects.

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Max Berniker

2011-10-01

Full Text Available Recent studies suggest that motor adaptation is the result of multiple, perhaps linear processes each with distinct time scales. While these models are consistent with some motor phenomena, they can neither explain the relatively fast re-adaptation after a long washout period, nor savings on a subsequent day. Here we examined if these effects can be explained if we assume that the CNS stores and retrieves movement parameters based on their possible relevance. We formalize this idea with a model that infers not only the sources of potential motor errors, but also their relevance to the current motor circumstances. In our model adaptation is the process of re-estimating parameters that represent the body and the world. The likelihood of a world parameter being relevant is then based on the mismatch between an observed movement and that predicted when not compensating for the estimated world disturbance. As such, adapting to large motor errors in a laboratory setting should alert subjects that disturbances are being imposed on them, even after motor performance has returned to baseline. Estimates of this external disturbance should be relevant both now and in future laboratory settings. Estimated properties of our bodies on the other hand should always be relevant. Our model demonstrates savings, interference, spontaneous rebound and differences between adaptation to sudden and gradual disturbances. We suggest that many issues concerning savings and interference can be understood when adaptation is conditioned on the relevance of parameters.

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

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Kompatsiaris Ioannis

2004-01-01

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

The Common Body of Knowledge: A Framework to Promote Relevant Information Security Research

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Kenneth J. Knapp

2007-03-01

Full Text Available This study proposes using an established common body of knowledge (CBK as one means of organizing information security literature.  Consistent with calls for more relevant information systems (IS research, this industry-developed framework can motivate future research towards topics that are important to the security practitioner.  In this review, forty-eight articles from ten IS journals from 1995 to 2004 are selected and cross-referenced to the ten domains of the information security CBK.  Further, we distinguish articles as empirical research, frameworks, or tutorials.  Generally, this study identified a need for additional empirical research in every CBK domain including topics related to legal aspects of information security.  Specifically, this study identified a need for additional IS security research relating to applications development, physical security, operations security, and business continuity.  The CBK framework is inherently practitioner oriented and using it will promote relevancy by steering IS research towards topics important to practitioners.  This is important considering the frequent calls by prominent information systems scholars for more relevant research.  Few research frameworks have emerged from the literature that specifically classify the diversity of security threats and range of problems that businesses today face.  With the recent surge of interest in security, the need for a comprehensive framework that also promotes relevant research can be of great value.

Trends in logistics in the german e-commerce and the particular relevance of managing product returns

Directory of Open Access Journals (Sweden)

Michael Brusch

2013-12-01

Full Text Available Background: There are several trends in logistics Internet retailers have to face nowadays, e.g. addressing and reaching customers through different sales channels (multi- or cross-channel management, integration of new payment alternatives (combined online and/or mobile payment methods, ordering and delivery of products from an Internet retailer at the same day (same-day delivery, and allowing product returns (management of product returns. Here the question is, whether relevant factors influencing the buying behaviour of online shoppers as well as groups of these can be found.  Methods:  Our contribution is analysing this area in two ways. On the hand, an overview about these major trends and the German e-commerce market will be given. On the other hand, the particular relevance of managing product returns will be discussed and through findings from an empirical investigation of German online shoppers expanded. Results: Four relevant factors influencing the behavior of online shoppers could be identified. Applying these four factors four different groups of online shoppers can be differentiated.  

A relevance theoretic approach to intertextuality in print advertising

African Journals Online (AJOL)

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

Text Mining for Drugs and Chemical Compounds: Methods, Tools and Applications.

Science.gov (United States)

Vazquez, Miguel; Krallinger, Martin; Leitner, Florian; Valencia, Alfonso

2011-06-01

Providing prior knowledge about biological properties of chemicals, such as kinetic values, protein targets, or toxic effects, can facilitate many aspects of drug development. Chemical information is rapidly accumulating in all sorts of free text documents like patents, industry reports, or scientific articles, which has motivated the development of specifically tailored text mining applications. Despite the potential gains, chemical text mining still faces significant challenges. One of the most salient is the recognition of chemical entities mentioned in text. To help practitioners contribute to this area, a good portion of this review is devoted to this issue, and presents the basic concepts and principles underlying the main strategies. The technical details are introduced and accompanied by relevant bibliographic references. Other tasks discussed are retrieving relevant articles, identifying relationships between chemicals and other entities, or determining the chemical structures of chemicals mentioned in text. This review also introduces a number of published applications that can be used to build pipelines in topics like drug side effects, toxicity, and protein-disease-compound network analysis. We conclude the review with an outlook on how we expect the field to evolve, discussing its possibilities and its current limitations. Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

BROA: An agent-based model to recommend relevant Learning Objects from Repository Federations adapted to learner profile

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Paula A. Rodríguez

2013-03-01

Full Text Available Learning Objects (LOs are distinguished from traditional educational resources for their easy and quickly availability through Web-based repositories, from which they are accessed through their metadata. In addition, having a user profile allows an educational recommender system to help the learner to find the most relevant LOs based on their needs and preferences. The aim of this paper is to propose an agent-based model so-called BROA to recommend relevant LOs recovered from Repository Federations as well as LOs adapted to learner profile. The model proposed uses both role and service models of GAIA methodology, and the analysis models of the MAS-CommonKADS methodology. A prototype was built based on this model and validated to obtain some assessing results that are finally presented.

A multiple relevance feedback strategy with positive and negative models.

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Yunlong Ma

Full Text Available A commonly used strategy to improve search accuracy is through feedback techniques. Most existing work on feedback relies on positive information, and has been extensively studied in information retrieval. However, when a query topic is difficult and the results from the first-pass retrieval are very poor, it is impossible to extract enough useful terms from a few positive documents. Therefore, the positive feedback strategy is incapable to improve retrieval in this situation. Contrarily, there is a relatively large number of negative documents in the top of the result list, and it has been confirmed that negative feedback strategy is an important and useful way for adapting this scenario by several recent studies. In this paper, we consider a scenario when the search results are so poor that there are at most three relevant documents in the top twenty documents. Then, we conduct a novel study of multiple strategies for relevance feedback using both positive and negative examples from the first-pass retrieval to improve retrieval accuracy for such difficult queries. Experimental results on these TREC collections show that the proposed language model based multiple model feedback method which is generally more effective than both the baseline method and the methods using only positive or negative model.

Financial Indicators of Performance Measurement: Reality, Relevance and Distortion

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Flavius-Andrei Guinea

2016-01-01

Full Text Available The main criticism brought to managers and to managerial accounting systems was the lack of emphasis on the return of the use of invested capital and the excessive focus on the efficiency of production processes. This fact forced the transition to a new view on the way of establishing the strategic objectives measured by financial indicators. The aim of this paper is to demonstrate, through case studies, the relevance and possibilities of manipulation of a series of indicators used for assessing performance: return on investment, residual profit, economic added value, commercial profitability. The relativity and the criticized appraisal of performance only through the means of profit were thought to be solved by implementing other indicators that would link several ingredients of profitability. The conclusions highlight that the remedy promoted by the new sets of financial indicators imposes a considerable cost, represented by the temptation of information distortion.

Figure-associated text summarization and evaluation.

Science.gov (United States)

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).

Manual for best practice for emergency response procedures, part 3: a review of the department of Minerals and Energy guidelines relevant to inrushes, fires, explosions and other emergencies.

CSIR Research Space (South Africa)

Spencer, KC

2000-02-01

Full Text Available The relevant guidelines issued by the Department of Minerals and Energy were reviewed in light of the findings given in parts one and two of this report. The earlier guidelines were issued unilaterally by the Department of Minerals and Energy...

The Amygdala and the Relevance Detection Theory of Autism: An Evolutionary Perspective

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Tiziana eZalla

2013-12-01

Full Text Available In the last few decades, there has been increasing interest in the role of the amygdala in psychiatric disorders and in particular its contribution to the socio-emotional impairments in autism spectrum disorders (ASDs. Given that the amygdala is a component structure of the social brain, several theoretical explanations compatible with amygdala dysfunction have been proposed to account for socio-emotional impairments in ASDs, including abnormal eye contact, gaze monitoring, face processing, mental state understanding and empathy. Nevertheless, many theoretical accounts, based on the Amygdala Theory of Autism, fail to elucidate the complex pattern of impairments observed in this population, which extends beyond the social domain. As posited by the Relevance Detector theory (Sander, Grafman and Zalla, 2003, the human amygdala is a critical component of a brain circuit involved in the appraisal of self-relevant events that include, but are not restricted to, social stimuli. Here, we propose that the behavioral and social-emotional features of ASDs may be better understood in terms of a disruption in a ‘Relevance Detector Network’ affecting the processing of stimuli that are relevant for the organism’s self-regulating functions. In the present review, we will first summarize the main literature supporting the involvement of the amygdala in socio-emotional disturbances in ASDs. Next, we will present a revised version of the amygdala Relevance Detector hypothesis and we will show that this theoretical framework can provide a better understanding of the heterogeneity of the impairments and symptomatology of ASDs. Finally, we will discuss some predictions of our model, and suggest new directions in the investigation of the role of the amygdala within the more generally disrupted cortical connectivity framework as a model of neural organization of the autistic brain.

Biomarker Identification Using Text Mining

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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.

The impact of intangibles on the value relevance of accounting information: Evidence from French companies

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Bilal Kimouche

2016-03-01

Full Text Available Purpose: The paper aims to explore whether intangible items that recognised in financial statements are value-relevant to investors in the French context, and whether these items affect the value relevance of accounting information. Design/methodology/approach: Empirical data were collected from a sample of French listed companies, over the nine-year period of 2005 to 2013. Starting of Ohlson’s (1995 model, the correlation analysis and the linear multiple regressions have been applied. Findings: We find that intangibles and traditional accounting measures as a whole are value relevant. However, the amortization and impairment charges of intangibles and cash flows do not affect the market values of French companies, unlike other variables, which affect positively and substantially the market values. Also goodwill and book values are more associated with market values than intangible assets and earnings respectively. Finally, we find that intangibles have improved the value relevance of accounting information. Practical implications: French legislators must give more interest for intangibles, in order to enrich the financial statements content and increasing the pertinence of accounting information. Auditors must give more attention for intangibles’ examination process, in order to certify the amounts related to intangibles in financial statements, and hence enrich their reliability, what provides adequacy guarantees for investors to use them in decision making. Originality/value: The paper used recently available financial data, and proposed an improvement concerning the measure of incremental value relevance of intangibles items.

A guide to practical radiation protection in medicine. X-Ray Ordinance. Radiation Protection Ordinance. Practice-oriented hints, comments, text compilation

International Nuclear Information System (INIS)

Fiebich, M.; Nischelsky, J.E.; Pfeiff, H.; Westermann, K.

2003-01-01

This loose-leaf collection has been compiled for users who have to implement the X-ray Ordinance and the Radiation Protection Ordinance at their place of work. It presents all acts, ordinances, safety guides, regulations and recommendations of relevance in connection with the above two ordinances, as well as practical instructions and the full text of technical codes. Radiation protection officers and other persons in charge of radiation protection will find the references, information and advice needed to solve problems encountered. (orig.) [de

Current Writing: Text and Reception in Southern Africa - Vol 18, No 1 ...

African Journals Online (AJOL)

Lions, leopards and liminal spaces:Representations of Biosociality in the Writings of Katy Payne, Linda Tucker and Gillian van Houten · EMAIL FULL TEXT EMAIL FULL TEXT DOWNLOAD FULL TEXT DOWNLOAD FULL TEXT. W Woodward ...

Attention Switching and Multimedia Learning: The Impact of Executive Resources on the Integrative Comprehension of Texts and Pictures

Science.gov (United States)

Baadte, Christiane; Rasch, Thorsten; Honstein, Helena

2015-01-01

The ability to flexibly allocate attention to goal-relevant information is pivotal for the completion of high-level cognitive processes. For instance, in comprehending illustrated texts, the reader permanently has to switch the attentional focus between the text and the corresponding picture in order to extract relevant information from both…

MANA YANG LEBIH MEMILIKI VALUE-RELEVANT: NET INCOME ATAU CASH FLOWS (Studi Terhadap Siklus Hidup Organisasi

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Juniarti Juniarti

2005-01-01

Full Text Available This research is aimed to examine the relative value-relevant of net income and cash flow measures in different life cycle stages. Corporate life cycle consists of four stages: start up, growth, mature, and decline stage. Firms in different life cycle stages have different characteristics, and therefore in each life cycle stages the usefulness of accounting measures also different. Net incomes are predicted to be more value relevant in mature stages, while cash flows are expected to be more value relevant in stages characterized by start up, growth, and decline stages. The results prove that in the growth stage, the analysis supports the hypothesis that cash flows are more value relevant than net income. However, in the mature stage, the analysis results reject the hypothesis. This research do not analyze for the start up stage and decline stage, because of the limitation of the sample data. Abstract in Bahasa Indonesia: Penelitian ini bertujuan untuk menguji manakah yang lebih memiliki value-relevant pengukuran laba atau arus kas pada masing-masing siklus hidup perusahaan. Siklus hidup perusahaan umumnya terbagi dalam tahap start-up, growth, mature dan decline. Karakteristik perusahaan berbeda untuk setiap tahap siklus hidup tersebut, karena itu kegunaan pengukuran akuntansi juga akan berbeda. Laba diperkirakan lebih memiliki value-relevant pada tahap mature, sementara arus kas diekspektasikan lebih memiliki value-relevant ketika perusahaan berada pada tahap start-up, growth dan decline. Penelitian ini membuktikan bahwa pada tahap growth, hasil pengujian yang dilakukan mendukung hipotesis bahwa cash flow lebih memiliki value relevant dibanding laba. Tetapi, untuk tahap mature, hipotesis yang diajukan tidak berhasil dibuktikan. Penelitian ini tidak dapat melakukan pengujian untuk tahap start-up dan decline, dikarenakan data sampel untuk kedua tahap tersebut tidak mencukupi untuk dilakukan pengujian. Kata kunci: siklus hidup organisasi, value-relevant

Vocabulary Constraint on Texts

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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.

Benchmarking of the 2010 BioCreative Challenge III text-mining competition by the BioGRID and MINT interaction databases

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Cesareni Gianni

2011-10-01

Full Text Available Abstract Background The vast amount of data published in the primary biomedical literature represents a challenge for the automated extraction and codification of individual data elements. Biological databases that rely solely on manual extraction by expert curators are unable to comprehensively annotate the information dispersed across the entire biomedical literature. The development of efficient tools based on natural language processing (NLP systems is essential for the selection of relevant publications, identification of data attributes and partially automated annotation. One of the tasks of the Biocreative 2010 Challenge III was devoted to the evaluation of NLP systems developed to identify articles for curation and extraction of protein-protein interaction (PPI data. Results The Biocreative 2010 competition addressed three tasks: gene normalization, article classification and interaction method identification. The BioGRID and MINT protein interaction databases both participated in the generation of the test publication set for gene normalization, annotated the development and test sets for article classification, and curated the test set for interaction method classification. These test datasets served as a gold standard for the evaluation of data extraction algorithms. Conclusion The development of efficient tools for extraction of PPI data is a necessary step to achieve full curation of the biomedical literature. NLP systems can in the first instance facilitate expert curation by refining the list of candidate publications that contain PPI data; more ambitiously, NLP approaches may be able to directly extract relevant information from full-text articles for rapid inspection by expert curators. Close collaboration between biological databases and NLP systems developers will continue to facilitate the long-term objectives of both disciplines.

Chapter 16: text mining for translational bioinformatics.

Science.gov (United States)

Cohen, K Bretonnel; Hunter, Lawrence E

2013-04-01

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

Study about the relevance and the disclosure of biological assets of listed companies in BM&FBOVESPA

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Luciana Holtz

2013-08-01

Full Text Available The main objective this article is to verify that the information content of biological assets disclosed in the financial statements are relevant and, the secondary objective perform content analysis of the notes verifying the compliance of information supplied by entities with CPC 29. The study sample was composed of publicly traded stock companies listed on the BM & FBOVESPA with data for the year 2010 and 2011. The empirical tests were conducted applying relevance models, using observations of 347 active companies characterizing a study model pooled ordinary least squares – POLS, including companies that have reported biological assets into account specific .The companies that had values of biological assets posted have had analyzed explanatory notes referring to this account. The results provide empirical evidence that the information content of biological assets disclosed by companies is not relevant to the sample. In relation the content analysis of the notes was checked a partial compliance of the standard, there is a disparity in the information disclosure practices by the companies analyzed, as well as an omission of items required by the standard. Can be inferred that loss of the relevance has occurred, in part, by the poor quality of the notes, which may make it difficult for outside users in interpreting the information disclosed.

Combining Review Text Content and Reviewer-Item Rating Matrix to Predict Review Rating

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Bingkun Wang

2016-01-01

Full Text Available E-commerce develops rapidly. Learning and taking good advantage of the myriad reviews from online customers has become crucial to the success in this game, which calls for increasingly more accuracy in sentiment classification of these reviews. Therefore the finer-grained review rating prediction is preferred over the rough binary sentiment classification. There are mainly two types of method in current review rating prediction. One includes methods based on review text content which focus almost exclusively on textual content and seldom relate to those reviewers and items remarked in other relevant reviews. The other one contains methods based on collaborative filtering which extract information from previous records in the reviewer-item rating matrix, however, ignoring review textual content. Here we proposed a framework for review rating prediction which shows the effective combination of the two. Then we further proposed three specific methods under this framework. Experiments on two movie review datasets demonstrate that our review rating prediction framework has better performance than those previous methods.

Contentious Issues Arising from Payments made in Full and Final Settlement

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R Ismail

2008-12-01

Full Text Available Payments made in full and final settlement have on several occasions presented interpretative difficulties for our judiciary, as will become apparent from this case discussion: Be Bop A Lula Manufacturing & Printing v Kingtex Marketing 2008 3 SA 327 (SCA. The Supreme Court of Appeal reversed the judgments of the trial court and the appeal court (full bench of the Cape Provincial Division which were in favour of the creditor. In such cases, the essential enquiry is whether an agreement of compromise exists. A transactio or compromise (in the form of a legal agreement exists where the relevant parties agree to settle previously disputed or uncertain obligations. Like any other agreement, a compromise is based on the contractual rules of offer and acceptance. The first material enquiry in this case wherein the debtor delivered the cheque payment to the creditor (in full and final settlement of the account, is whether 1 an intended offer of compromise exists; or 2 did the debtor merely intend to make payment towards an admitted liability. The court in the Be Bop (SCA case came to the correct finding that an offer of compromise existed. Whilst the judgment is brief, the finding itself gives practical recognition to the principle that admission of liability for a specific amount, accompanied by payment (in full and final settlement, may still be accompanied by an intended offer of compromise, instead of merely making payment towards an admission of liability.

Study on the association between earnings management and value relevance based on the reporting method used for operating cash flows

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Marilena Mironiuc

2018-02-01

Full Text Available This paper analyses the association between earnings management and value relevance of accounting information, for a number of 556 observations from a sample of 65 companies listed on the Bucharest Stock Exchange during a 10 year period: 2006-2015. Sampled companies are classified according to the method used for the reporting of operating cash flows. Findings confirm that entities using the indirect method have a higher level of discretionary accruals and are more tempted to opportunistically increase their earnings. As far as value relevance is concerned, results show that participants on the Romanian capital market place more weight on the information reported by entities experiencing higher levels of discretionary accruals.

A PANEL REGRESSION ANALYSIS OF HUMAN CAPITAL RELEVANCE IN SELECTED SCANDINAVIAN AND SE EUROPEAN COUNTRIES

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Filip Kokotovic

2016-06-01

Full Text Available The study of human capital relevance to economic growth is becoming increasingly important taking into account its relevance in many of the Sustainable Development Goals proposed by the UN. This paper conducted a panel regression analysis of selected SE European countries and Scandinavian countries using the Granger causality test and pooled panel regression. In order to test the relevance of human capital on economic growth, several human capital proxy variables were identified. Aside from the human capital proxy variables, other explanatory variables were selected using stepwise regression while the dependant variable was GDP. This paper concludes that there are significant structural differences in the economies of the two observed panels. Of the human capital proxy variables observed, for the panel of SE European countries only life expectancy was statistically significant and it had a negative impact on economic growth, while in the panel of Scandinavian countries total public expenditure on education had a statistically significant positive effect on economic growth. Based upon these results and existing studies, this paper concludes that human capital has a far more significant impact on economic growth in more developed economies.

THE RELEVANT TEMPORAL MARKET DEFINITION IN ANTITRUST ANALYSIS

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Anzhelika Gerasymenko

2018-01-01

Full Text Available The purpose of the paper is to compare various theoretical approaches to the relevant temporal market definition, collecting the arguments for their implementation under the different kinds of antitrust cases. It is vital for the markets with peak demand (transport, electricity, markets of intergenerational products or discreet supply (agriculture. Methodology. The survey is based on the theoretical and graphical modelling of product space perception by consumers. It investigates changes of the latter under different marketing strategies of a seller. Statistical methods are used to analyse trends of demand and prices for iPhones’ changes, as well as dynamics of electricity consumption. Results. The paper reveals two facing approaches to the definition of relevant temporal market: 1 the discrete one that provides a short-run analysis of products’ substitutability and combines only those time periods that are characterized by a stable balance of demand and supply, as well as stable market equilibrium; 2 the coherent one that provides a long-run analysis of cyclical variation of the market. This cycling is based on the awareness of consumers and producers of intertemporal substitutability of products. The authors use the model of intertemporal competition to explain principles of these approaches and apply it to the iPhone market analysis. They conclude that the coherent approach must be applied to the temporal market definition for the products with elastic demand. Inelastic demand brings the necessity to apply the discrete approach to the temporal market definition. These conclusions cannot be applied to regulated markets. The system of government regulation is the main determinant of the temporal boundaries of such markets. Practical implications. The results of this research can be used by competition agencies in antitrust cases to define the relevant temporal market, where the violations of antitrust legislation can occur. The correct

A quick survey of text categorization algorithms

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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.

Utilização de regressão multivariada para avaliação espectrofotométrica da demanda química de oxigênio em amostras de relevância ambiental Use of multivariate regression in spectrophotometric evaluation of chemical oxigen demand in samples of environmental relevance

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Patricio Peralta-Zamora

2005-10-01

Full Text Available In this work, a partial least squares regression routine was used to develop a multivariate calibration model to predict the chemical oxygen demand (COD in substrates of environmental relevance (paper effluents and landfill leachates from UV-Vis spectral data. The calibration models permit the fast determination of the COD with typical relative errors lower by 10% with respect to the conventional methodology.

Difficulties in translation of socio-political texts

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Артур Нарманович Мамедов

2013-12-01

Full Text Available Belonging of Russian socio-political texts to publicistic style assumes being guided by functional approach in order to find most adequate linguistic means by transfer of pragmatic meaning of the source text. Intralinguistic meaning can slightly remain by the interpretation of German texts. Lexical and grammatical transformations help preserving semantic-syntactic structure of the target text which means achievement of the same communicative effect by the translate which is being achieved by the source text.

Arabic text classification using Polynomial Networks

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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.

Arabic text preprocessing for the natural language processing applications

International Nuclear Information System (INIS)

Awajan, A.

2007-01-01

A new approach for processing vowelized and unvowelized Arabic texts in order to prepare them for Natural Language Processing (NLP) purposes is described. The developed approach is rule-based and made up of four phases: text tokenization, word light stemming, word's morphological analysis and text annotation. The first phase preprocesses the input text in order to isolate the words and represent them in a formal way. The second phase applies a light stemmer in order to extract the stem of each word by eliminating the prefixes and suffixes. The third phase is a rule-based morphological analyzer that determines the root and the morphological pattern for each extracted stem. The last phase produces an annotated text where each word is tagged with its morphological attributes. The preprocessor presented in this paper is capable of dealing with vowelized and unvowelized words, and provides the input words along with relevant linguistics information needed by different applications. It is designed to be used with different NLP applications such as machine translation text summarization, text correction, information retrieval and automatic vowelization of Arabic Text. (author)

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

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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.

NOTICING AND TEXT-BASED CHAT

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Chun Lai

2006-09-01

Full Text Available This study examined the capacity of text-based online chat to promote learners’ noticing of their problematic language productions and of the interactional feedback from their interlocutors. In this study, twelve ESL learners formed six mixed-proficiency dyads. The same dyads worked on two spot-the-difference tasks, one via online chat and the other through face-to-face conversation. Stimulated recall sessions were held subsequently to identify instances of noticing. It was found that text-based online chat promotes noticing more than face-to-face conversations, especially in terms of learners’ noticing of their own linguistic mistakes.

A Functional Approximation to the “Main Idea” Notion of a Text

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Germán Morales Chávez

2014-04-01

Full Text Available A study was realized where there were evaluated the effects of training 20 students of the first semester of the master in Psychology of the FES Iztacala, to choosing the principal idea in texts, with base in the different levels of reading adjustment proposed by Carpio (1994. Group divided the participants at random in four different groups Control (Group C Group Ajustividad (Group A, Group Relevancy (Group P and Group Coherence (Group Ch. All the groups were exposed to the evaluation 1 and the 2nd and only the group Control was not exposed to a situation of training. The results show that really in agreement to the trained criterion, the pupils choosing as principal ideas those that were constructed by base in the different types of criterion in the one that they were trained. While the identification of the principal idea can be modified by means of the imposition of different criteria of adjustment, he lacks sense to continue speaking about principal idea, provided that the reading performance in correspondence on the type of criterion of adjustment would meet place to different types of ideas, so many people as criteria imposed on the reader.

A Novel Approach for Arabic Text Steganography Based on the “BloodGroup” Text Hiding Method

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S. Malalla,

2017-04-01

Full Text Available Steganography is the science of hiding certain messages (data in groups of irrelevant data possibly of other form. The purpose of steganography is covert communication to hide the existence of a message from an intermediary. Text Steganography is the process of embedding secret message (text in another text (cover text so that the existence of secret message cannot be detected by a third party. This paper presents a novel approach for text steganography using the Blood Group (BG method based on the behavior of blood group. Experimentally it is found that the proposed method got good results in capacity, hiding capacity, time complexity, robustness, visibility, and similarity which shows its superiority as compared to most several existing methods.

Is business strategy from a positioning and resource-based perspective relevant for national institutions?

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AJ Smit

2014-01-01

Full Text Available To ascertain whether business strategy is relevant for national institutions a distinction is made between private businesses and institutions as “social business units” of a country. In “social businesses” as well as in private businesses, efficiency is the desired outcome. However, in private businesses it is about sustainable competitive advantage while in institutions it is about policies to resolve the socio and economic problems that a country faces in order to increase welfare of society as a whole. The conclusion is that business strategy form the positioning and resource-based perspectives, does not apply to social businesses such as national institutions.

Systematic review of the neurobiological relevance of chemokines to psychiatric disorders

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Michael eStuart

2015-09-01

Full Text Available Psychiatric disorders are highly prevalent and disabling conditions of increasing public health relevance. Much recent research has focused on the role of cytokines in the pathophysiology of psychiatric disorders; however the related family of immune proteins designated chemokines has been relatively neglected. Chemokines were originally identified as having chemotactic function on immune cells, however recent evidence has begun to elucidate novel, brain-specific functions of these proteins of relevance to the mechanisms of psychiatric disorders. A systematic review of both human and animal literature in the PubMed and Google Scholar databases was undertaken. After application of all inclusion and exclusion criteria, 157 references were remained for the review. Some early mechanistic evidence does associate select chemokines with the neurobiological processes, including neurogenesis, modulation of the neuroinflammatory response, regulation of the HPA axis, and modulation of neurotransmitter systems. This early evidence however does not clearly demonstrate any specificity for a certain psychiatric disorder, but is primarily relevant to mechanisms which are shared across disorders. Notable exceptions include CCL11 which has recently been shown to impair hippocampal function in aging - of distinct relevance to Alzheimer’s disease and depression in the elderly, and prenatal exposure to CXCL8 that may disrupt early neurodevelopmental periods predisposing to schizophrenia. Pro-inflammatory chemokines, such as CCL2, CCL7, CCL8, CCL12, CCL13, have been shown to drive chemotaxis of pro-inflammatory cells to the inflamed or injured CNS. Likewise, CX3CL has been implicated in promoting glial cells activation, proinflammatory cytokines secretion, expression of ICAM-1 and recruitment of CD4+ T-cells into the CNS during neuroinflammatory processes. With further translational research, chemokines may present novel diagnostic and/or therapeutic targets in

Phase synchronization of delta and theta oscillations increase during the detection of relevant lexical information

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Enzo eBrunetti

2013-06-01

Full Text Available During monitoring of the discourse, the detection of the relevance of incoming lexical information could be critical for its incorporation to update mental representations in memory. Because, in these situations, the relevance for lexical information is defined by abstract rules that are maintained in memory, results critical to understand how an abstract level of knowledge maintained in mind mediates the detection of the lower-level semantic information. In the present study, we propose that neuronal oscillations participate in the detection of relevant lexical information, based on ‘kept in mind’ rules deriving from more abstract semantic information. We tested our hypothesis using an experimental paradigm that restricted the detection of relevance to inferences based on explicit information, thus controlling for ambiguities derived from implicit aspects. We used a categorization task, in which the semantic relevance was previously defined based on the congruency between a kept in mind category (abstract knowledge, and the lexical-semantic information presented. Our results show that during the detection of the relevant lexical information, phase synchronization of neuronal oscillations selectively increases in delta and theta frequency bands during the interval of semantic analysis. These increments were independent of the semantic category maintained in memory, had a temporal profile specific for each subject, and were mainly induced, as they had no effect on the evoked mean global field power. Also, recruitment of an increased number of pairs of electrodes was a robust observation during the detection of semantic contingent words. These results are consistent with the notion that the detection of relevant lexical information based on a particular semantic rule, could be mediated by increasing the global phase synchronization of neuronal oscillations, which may contribute to the recruitment of an extended number of cortical regions.

Usage and recall of FMCG brands by rural consumers and relevant facts

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Savanam Chandra Sekhar

2015-01-01

Full Text Available India is a country of villages. It has mammoth rural population of 833 million spread over 640,867 villages. Rural markets are small in size, distantly scattered and heterogeneous. They provide awesome opportunities for fast moving consumer goods (FMCG companies. Rural consumers aspire to use brands rather than just commodities. At this juncture, understand rural consumer usage of FMCG brands and awareness is perceived appropriate. The objective of this research paper is to study the usage and recall of FMCG brands by rural consumers in Prakasam district of Andhra Pradesh in India. Thus, a modest attempt is made in this paper to divulge relevant facts of the topic with empirical data. This article is quite useful to the stakeholders of rural marketing.

THE USE OF RELEVANT FACTORS FOR CONSUMERS IN DESIGNING A COMMUNICATIONAL MESSAGE

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Olimpia OANCEA

2014-06-01

Full Text Available Today, organizations must adapt to the new realities of the environment in which they operate, and their efforts must be increasingly more oriented towards identifying the factors that influence consumer behavior, in particular economic, social and psychological aspects. When consumers are acting on incomplete information base, they assume automatically a risk for each purchasing decision. The size of the risk decreases depending on the quantity and relevance of information transmitted through communicational messages. Therefore, the aim of this paper is to highlight the factors that should be taken into account when designing a communicational message, so that this has to have the ability to change consumer attitudes and to keep constant interest to the products and / or services of a company.

Organisationally relevant variables and Keyes's Mental Health Continuum Scale: An exploratory study

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Deo J.W. Strümpfer

2009-09-01

Full Text Available In an exploratory study on a sample of convenience (n = 165, 11 self-report variables with presumed organisational  relevance were  related,  as  predictors,  to  the  three  subscores  and  summed  score of  the Keyes  (2005a, 2005b; 2007 Mental Health Continuum  scale  (long  form. Keyes's  scale was administered five to seven days after the first set of scales. The predictor scores were reduced to three factorial scores, labelled positive orientation, negative orientation and positive striving. When classified thus, the predictor variables showed significant and meaningful relationships with some or all of the Keyes subscores and the total score, although few reached medium effect sizes.

The Comprehensive Nuclear-Test-Ban Treaty and Its Relevance for the Global Security

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Dáša ADAŠKOVÁ

2013-06-01

Full Text Available The Comprehensive Nuclear-Test-Ban Treaty (CTBT is one of important international nuclear non-proliferation and disarmament measures. One of its pillars is the verification mechanism that has been built as an international system of nuclear testing detection to enable the control of observance of the obligations anchored in the CTBT. Despite the great relevance to the global non-proliferation and disarmament efforts, the CTBT is still not in force. The main aim of the article is to summarize the importance of the CTBT and its entry into force not only from the international relations perspective but also from the perspective of the technical implementation of the monitoring system.

Second Generation Youth in Canada, Their Mobilities and Identifications: Relevance to Citizenship Education

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Mehrunnisa Ali

2010-05-01

Full Text Available Based on narrative data recently collected from youth’s in three Canadian cities, our paper focuses on second generation perceptions of youth’s identifications in a society increasingly influenced by the forces of globalization and how these perceptions may or may not be reflected in programs of study dealing with citizenship education. We utilize a framework consisting of a continuum of mobilities of mind, body, and boundaries to situate their sense of self. The façade of globalisation is examined in terms of its impact on identity formation and these youths’ impressions of diversity and multiculturalism. Finally, we consider the relevance of the findings for citizenship education in Ontario, Manitoba, and Alberta.

Feminist Scholarship and Its Relevance for Political Engagement: The Test Case of Abortion in the U.S.

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Margaret Kamitsuka

2011-08-01

Full Text Available This essay explores how gender studies in academe, including in religious studies, might remain relevant to ongoing feminist political engagement.  I explore some specific dynamics of this challenge, using as my test case the issue of abortion in the U.S.  After discussing how three formative feminist principles (women’s experience as feminism’s starting point, the personal is political, and identity politics have shaped approaches to the abortion issue for feminist scholars in religion, I argue that ongoing critique, new theoretical perspectives, and attentiveness to subaltern voices are necessary for these foundational feminist principles to keep pace with fast-changing and complex societal dynamics relevant to women’s struggles for reproductive health and justice.  The essay concludes by proposing ‘natality’ as a helpful concept for future feminist theological and ethical thinking on the subject.

Research trends on Big Data in Marketing: A text mining and topic modeling based literature analysis

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Alexandra Amado

2018-01-01

Full Text Available Given the research interest on Big Data in Marketing, we present a research literature analysis based on a text mining semi-automated approach with the goal of identifying the main trends in this domain. In particular, the analysis focuses on relevant terms and topics related with five dimensions: Big Data, Marketing, Geographic location of authors’ affiliation (countries and continents, Products, and Sectors. A total of 1560 articles published from 2010 to 2015 were scrutinized. The findings revealed that research is bipartite between technological and research domains, with Big Data publications not clearly aligning cutting edge techniques toward Marketing benefits. Also, few inter-continental co-authored publications were found. Moreover, findings show that research in Big Data applications to Marketing is still in an embryonic stage, thus making it essential to develop more direct efforts toward business for Big Data to thrive in the Marketing arena.

Taijin Kyofusho and Social Anxiety and their clinical relevance in Indonesia and Switzerland

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Noortje eVriends

2013-02-01

Full Text Available Background: Taijin Kyofusho (TKS is an interpersonal fear to offend others and is defined by DSM-IV as a culturally bound syndrome that occurs in Japan and Korea. Recently, cases with TKS have also been recognized in other cultures. The present questionnaire study investigated self-report TKS symptoms and social anxiety symptoms, and their clinical relevance in an Indonesian and Swiss sample. It also investigated if self-construal is associated with TKS and social anxiety, and if self-construal is a mediator of the expected association between cultural background and social anxiety and TKS symptoms. Method: 311 Indonesian and 349 Swiss university students filled out the Liebowitz Social Anxiety Scale, the Taijin Kyofusho Scale, the Self-Construal Scale, self-report social phobia DSM-IV criteria, and rated their wish for professional help to deal with social fears.Results: TKS and social anxiety symptoms were higher in the Indonesian than the Swiss sample. TKS symptoms were associated with clinical relevance in Indonesia, whereas in Switzerland only social anxiety symptoms were associated with clinical relevance. Independent self-construal was negatively associated and interdependent self-construal was positively associated with TKS and social anxiety symptoms. Interdependent self-construal mediated the association between cultural background and these symptoms.Discussion: TKS might be a clinically relevant syndrome in all individuals or cultures with an interdependent self-construal or less independent self-construal. The proposal to include the fear of offending others in the DSM-V criteria of social phobia is supported by the present findings.

Model Predictive Engine Air-Ratio Control Using Online Sequential Relevance Vector Machine

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Hang-cheong Wong

2012-01-01

Full Text Available Engine power, brake-specific fuel consumption, and emissions relate closely to air ratio (i.e., lambda among all the engine variables. An accurate and adaptive model for lambda prediction is essential to effective lambda control for long term. This paper utilizes an emerging technique, relevance vector machine (RVM, to build a reliable time-dependent lambda model which can be continually updated whenever a sample is added to, or removed from, the estimated lambda model. The paper also presents a new model predictive control (MPC algorithm for air-ratio regulation based on RVM. This study shows that the accuracy, training, and updating time of the RVM model are superior to the latest modelling methods, such as diagonal recurrent neural network (DRNN and decremental least-squares support vector machine (DLSSVM. Moreover, the control algorithm has been implemented on a real car to test. Experimental results reveal that the control performance of the proposed relevance vector machine model predictive controller (RVMMPC is also superior to DRNNMPC, support vector machine-based MPC, and conventional proportional-integral (PI controller in production cars. Therefore, the proposed RVMMPC is a promising scheme to replace conventional PI controller for engine air-ratio control.

The relevance of non-human primate and rodent malaria models for humans

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Riley Eleanor

2011-02-01

Full Text Available Abstract At the 2010 Keystone Symposium on "Malaria: new approaches to understanding Host-Parasite interactions", an extra scientific session to discuss animal models in malaria research was convened at the request of participants. This was prompted by the concern of investigators that skepticism in the malaria community about the use and relevance of animal models, particularly rodent models of severe malaria, has impacted on funding decisions and publication of research using animal models. Several speakers took the opportunity to demonstrate the similarities between findings in rodent models and human severe disease, as well as points of difference. The variety of malaria presentations in the different experimental models parallels the wide diversity of human malaria disease and, therefore, might be viewed as a strength. Many of the key features of human malaria can be replicated in a variety of nonhuman primate models, which are very under-utilized. The importance of animal models in the discovery of new anti-malarial drugs was emphasized. The major conclusions of the session were that experimental and human studies should be more closely linked so that they inform each other, and that there should be wider access to relevant clinical material.

The analysis of irony through relevance theory in the big bang theory sitcom = A análise da ironia por meio da teoria da relevância na comédia de situação the big bang theory

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Izaias, Karla Camila Oliveira

2011-01-01

Full Text Available Neste trabalho, será analisada a teoria da relevância proposta por Sperber e Wilson. Adicionalmente, a figura de linguagem ironia será descrita. Esse referencial teórico será utilizado para analisar um episódio da comédia de situação intitulado "The Big Bang Theory", em um esforço para demonstrar como enunciados são compreendidos entre os personagens e o público e como ironia é largamente utilizada como recurso humorístico

The Impact of Texting on Comprehension

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Jamal K. M. Ali

2015-07-01

Full Text Available This paper presents a study of the effects of texting on English language comprehension. The authors believe that English used in texting causes a lack of comprehension for English speakers, learners, and texters. Wei, Xian-hai and Jiang (2008:3 declare “In Netspeak, there are some newly-created vocabularies, which people cannot comprehend them either from their partial pronunciation or from their figures.” Crystal (2007:23 claims; “variation causes problems of comprehension and acceptability. If you speak or write differently from the way I do, we may fail to understand each other.”  In this paper, the authors conducted a questionnaire at Aligarh Muslim University to ninety respondents from five different Faculties and four different levels. To measure respondents’ comprehension of English texting, the authors gave the respondents abbreviations used by texters and asked them to write the full forms of the abbreviations. The authors found that many abbreviations were not understood, which suggested that most of the respondents did not understand and did not use these abbreviations.

Effect of Mental State on the Rate of Identifying the Relevancy of Documents Retrieved in a Search

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Faezeh Farhoudi

2009-07-01

Full Text Available The present study investigates the link between various users’ mental state while searching information systems with the outcome of the resulting documents retrieved. Various factors such as user knowledge, search skills, motivation and aims influence the decisions and evaluation of users regarding documents retrieved. MMPI instrument was used to identify users’ mental states. The sample was drawn from female senior students of librarianship, using systematic random sampling. The findings indicated that anxiety and depression have significant inverse relationship to the rate of relevancy identification of the documents retrieved by the users.

Extracellular vesicles: fundamentals and clinical relevance

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Wael Nassar

2015-01-01

Full Text Available All types of cells of eukaryotic organisms produce and release small nanovesicles into their extracellular environment. Early studies have described these vesicles as ′garbage bags′ only to remove obsolete cellular molecules. Valadi and colleagues, in 2007, were the first to discover the capability of circulating extracellular vesicles (EVs to horizontally transfer functioning gene information between cells. These extracellular vesicles express components responsible for angiogenesis promotion, stromal remodeling, chemoresistance, genetic exchange, and signaling pathway activation through growth factor/receptor transfer. EVs represent an important mode of intercellular communication by serving as vehicles for transfer between cells of membrane and cytosolic proteins, lipids, signaling proteins, and RNAs. They contribute to physiology and pathology, and they have a myriad of potential clinical applications in health and disease. Moreover, vesicles can pass the blood-brain barrier and may perhaps even be considered as naturally occurring liposomes. These cell-derived EVs not only represent a central mediator of the disease microenvironment, but their presence in the peripheral circulation may serve as a surrogate for disease biopsies, enabling real-time diagnosis and disease monitoring. In this review, we′ll be addressing the characteristics of different types of extracellular EVs, as well as their clinical relevance and potential as diagnostic markers, and also define therapeutic options.

Publication rates of full-text journal articles converted from abstracts presented during the 22(nd) Turkish National Urology Congress.

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Kocaaslan, Ramazan; Kayalı, Yunus; Tok, Adem; Tepeler, Abdulkadir

2016-03-01

To analyze the publication rates of full-text journal articles converted from the abstracts presented in the 22(nd) Turkish National Urology Congress in 2012. A total of 576 abstracts accepted for presentation at the 22(nd) Turkish National Urology Association Meeting were identified from the published abstract book. The abstracts were categorized into subsections such as endourology and pediatric urology. The subsequent publication rate for the studies was evaluated by scanning PubMed Medline. Abstracts published before the proceedings were excluded from the study. The abstracts were categorized as being presented orally (n=155), by poster (n=421), or by video (n=78). Of the 28 (18.3%) of 155 oral and 34 (8.15%) of 421 poster presentations, were subsequently published in several journals until March 2015. The publication rates of the abstracts based on urology subsections were as follows: neurology (25%), andrology (18.6%), endourology (17.2%), urolithiasis (15.3%), general urology (12.5%), infectious diseases (7.14%), pediatric urology (6.25%), uro-gynecology (6.06%), reconstructive urology (5.8%), and urooncology (3.8%). The average time to publication was 11.77 (0-33) months. This is the first study assessing the publication rates of abstracts presented at a Turkish National Urology Congress. It reveals that more qualified randomized studies need to be done to improve the rate of publication.

What's in a message? Delivering sexual health promotion to young people in Australia via text messaging

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Hellard Margaret E

2010-12-01

Full Text Available Abstract Background Advances in communication technologies have dramatically changed how individuals access information and communicate. Recent studies have found that mobile phone text messages (SMS can be used successfully for short-term behaviour change. However there is no published information examining the acceptability, utility and efficacy of different characteristics of health promotion SMS. This paper presents the results of evaluation focus groups among participants who received twelve sexual health related SMS as part of a study examining the impact of text messaging for sexual health promotion to on young people in Victoria, Australia. Methods Eight gender-segregated focus groups were held with 21 males and 22 females in August 2008. Transcripts of audio recordings were analysed using thematic analysis. Data were coded under one or more themes. Results Text messages were viewed as an acceptable and 'personal' means of health promotion, with participants particularly valuing the informal language. There was a preference for messages that were positive, relevant and short and for messages to cover a variety of topics. Participants were more likely to remember and share messages that were funny, rhymed and/or tied into particular annual events. The message broadcasting, generally fortnightly on Friday afternoons, was viewed as appropriate. Participants said the messages provided new information, a reminder of existing information and reduced apprehension about testing for sexually transmitted infections. Conclusions Mobile phones, in particular SMS, offer health promoters an exciting opportunity to engage personally with a huge number of individuals for low cost. The key elements emerging from this evaluation, such as message style, language and broadcast schedule are directly relevant to future studies using SMS for health promotion, as well as for future health promotion interventions in other mediums that require short formats, such

Using an Ishikawa diagram as a tool to assist memory and retrieval of relevant medical cases from the medical literature

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Wong Kam Cheong

2011-03-01

Full Text Available Abstract Studying medical cases is an effective way to enhance clinical reasoning skills and reinforce clinical knowledge. An Ishikawa diagram, also known as a cause-and-effect diagram or fishbone diagram, is often used in quality management in manufacturing industries. In this report, an Ishikawa diagram is used to demonstrate how to relate potential causes of a major presenting problem in a clinical setting. This tool can be used by teams in problem-based learning or in self-directed learning settings. An Ishikawa diagram annotated with references to relevant medical cases and literature can be continually updated and can assist memory and retrieval of relevant medical cases and literature. It could also be used to cultivate a lifelong learning habit in medical professionals.

Dinitrogen and Related Chemistry of the Lanthanides: A Review of the Reductive Capture of Dinitrogen, As Well As Mono- and Di-aza Containing Ligand Chemistry of Relevance to Known and Postulated Metal Mediated Dinitrogen Derivatives

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Damien N. Stringer

2010-02-01

Full Text Available This paper reviews the current array of complexes of relevance to achieving lanthanide mediated nitrogen fixation. A brief history of nitrogen fixation is described, including a limited discussion of successful transition metal facilitated nitrogen fixation systems. A detailed discussion of the numerous lanthanide-nitrogen species relevant to nitrogen fixation are discussed and are related to the Chatt cycle for nitrogen fixation.

Flexible frontiers for text division into rows

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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.

Text-based language identification of multilingual names

CSIR Research Space (South Africa)

Giwa, O

2015-11-01

Full Text Available Text-based language identification (T-LID) of isolated words has been shown to be useful for various speech processing tasks, including pronunciation modelling and data categorisation. When the words to be categorised are proper names, the task...

Open-Source Tools for Enhancing Full-Text Searching of OPACs: Use of Koha, Greenstone and Fedora

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Anuradha, K. T.; Sivakaminathan, R.; Kumar, P. Arun

2011-01-01

Purpose: There are many library automation packages available as open-source software, comprising two modules: staff-client module and online public access catalogue (OPAC). Although the OPAC of these library automation packages provides advanced features of searching and retrieval of bibliographic records, none of them facilitate full-text…

On the relevance of sophisticated structural annotations for disulfide connectivity pattern prediction.

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Julien Becker

Full Text Available Disulfide bridges strongly constrain the native structure of many proteins and predicting their formation is therefore a key sub-problem of protein structure and function inference. Most recently proposed approaches for this prediction problem adopt the following pipeline: first they enrich the primary sequence with structural annotations, second they apply a binary classifier to each candidate pair of cysteines to predict disulfide bonding probabilities and finally, they use a maximum weight graph matching algorithm to derive the predicted disulfide connectivity pattern of a protein. In this paper, we adopt this three step pipeline and propose an extensive study of the relevance of various structural annotations and feature encodings. In particular, we consider five kinds of structural annotations, among which three are novel in the context of disulfide bridge prediction. So as to be usable by machine learning algorithms, these annotations must be encoded into features. For this purpose, we propose four different feature encodings based on local windows and on different kinds of histograms. The combination of structural annotations with these possible encodings leads to a large number of possible feature functions. In order to identify a minimal subset of relevant feature functions among those, we propose an efficient and interpretable feature function selection scheme, designed so as to avoid any form of overfitting. We apply this scheme on top of three supervised learning algorithms: k-nearest neighbors, support vector machines and extremely randomized trees. Our results indicate that the use of only the PSSM (position-specific scoring matrix together with the CSP (cysteine separation profile are sufficient to construct a high performance disulfide pattern predictor and that extremely randomized trees reach a disulfide pattern prediction accuracy of [Formula: see text] on the benchmark dataset SPX[Formula: see text], which corresponds to

Uncovering robust patterns of microRNA co-expression across cancers using Bayesian Relevance Networks.

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Parameswaran Ramachandran

Full Text Available Co-expression networks have long been used as a tool for investigating the molecular circuitry governing biological systems. However, most algorithms for constructing co-expression networks were developed in the microarray era, before high-throughput sequencing-with its unique statistical properties-became the norm for expression measurement. Here we develop Bayesian Relevance Networks, an algorithm that uses Bayesian reasoning about expression levels to account for the differing levels of uncertainty in expression measurements between highly- and lowly-expressed entities, and between samples with different sequencing depths. It combines data from groups of samples (e.g., replicates to estimate group expression levels and confidence ranges. It then computes uncertainty-moderated estimates of cross-group correlations between entities, and uses permutation testing to assess their statistical significance. Using large scale miRNA data from The Cancer Genome Atlas, we show that our Bayesian update of the classical Relevance Networks algorithm provides improved reproducibility in co-expression estimates and lower false discovery rates in the resulting co-expression networks. Software is available at www.perkinslab.ca.

Self-esteem modulates automatic attentional responses to self-relevant stimuli: Evidence from event-related brain potentials

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Jie eChen

2015-06-01

Full Text Available Previous studies have widely shown that self-esteem modulates the attention bias towards social rejection or emotion-related information. However, little is known about the influences of self-esteem on attention bias towards self-relevant stimuli. We aimed to investigate neural correlates that underlie the modulation effect of self-esteem on self-relevant processing. Event-related potentials were recorded for subjects’ own names and close others’ names (the names of their friends while subjects performed a three-stimulus oddball task. The results showed larger P2 amplitudes for one’s own name than for close-other’s name in the low self-esteem group, whereas this P2 effect were not observed in the high self-esteem group. In addition, one’s own name elicited equivalent N250 amplitudes and larger P3 amplitudes compared with close-other’s name in both high and low self-esteem groups. However, no interaction effects were observed between self-esteem and self-relevant processing in the N250 and P3 components. Thus, we found that the modulation effects of self-esteem on self-relevant processing occurred at the early P2 stage, but not at the later N250 and P3 stages. These findings reflect that individuals with low self-esteem demonstrate automatic attention towards their own names.

Other relevant biological papers

International Nuclear Information System (INIS)

Shimizu, M.

1989-01-01

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

Combining automatic table classification and relationship extraction in extracting anticancer drug-side effect pairs from full-text articles.

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Xu, Rong; Wang, QuanQiu

2015-02-01

Anticancer drug-associated side effect knowledge often exists in multiple heterogeneous and complementary data sources. A comprehensive anticancer drug-side effect (drug-SE) relationship knowledge base is important for computation-based drug target discovery, drug toxicity predication and drug repositioning. In this study, we present a two-step approach by combining table classification and relationship extraction to extract drug-SE pairs from a large number of high-profile oncological full-text articles. The data consists of 31,255 tables downloaded from the Journal of Oncology (JCO). We first trained a statistical classifier to classify tables into SE-related and -unrelated categories. We then extracted drug-SE pairs from SE-related tables. We compared drug side effect knowledge extracted from JCO tables to that derived from FDA drug labels. Finally, we systematically analyzed relationships between anti-cancer drug-associated side effects and drug-associated gene targets, metabolism genes, and disease indications. The statistical table classifier is effective in classifying tables into SE-related and -unrelated (precision: 0.711; recall: 0.941; F1: 0.810). We extracted a total of 26,918 drug-SE pairs from SE-related tables with a precision of 0.605, a recall of 0.460, and a F1 of 0.520. Drug-SE pairs extracted from JCO tables is largely complementary to those derived from FDA drug labels; as many as 84.7% of the pairs extracted from JCO tables have not been included a side effect database constructed from FDA drug labels. Side effects associated with anticancer drugs positively correlate with drug target genes, drug metabolism genes, and disease indications. Copyright © 2014 Elsevier Inc. All rights reserved.

Speect: a multilingual text-to-speech system

CSIR Research Space (South Africa)

Louw, JA

2008-11-01

Full Text Available This paper introduces a new multilingual text-to-speech system, which we call Speect (Speech synthesis with extensible architecture), aiming to address the shortcomings of using Festival as a research sytem and Flite as a deployment system in a...

Scaffolding Students’ Independent Decoding of Unfamiliar Text with a Prototype of an eBook-feature

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Stig T Gissel

2015-10-01

Full Text Available This study was undertaken to design, evaluate and refine an eBook-feature that supports students’ decoding of unfamiliar text. The feature supports students’ independent reading of eBooks with text-to-speech, graded support in the form of syllabification and rhyme analogy, and by dividing the word material into different categories based on the frequency and regularity of the word or its constituent parts. The eBook-feature is based on connectionist models of reading and reading acquisition and the theory of scaffolding. Students are supported in mapping between spelling and sound, in identifying the relevant spelling patterns and in generalizing, in order to strengthen their decoding skills. The prototype was evaluated with Danish students in the second grade to see how and under what circumstances students can use the feature in ways that strengthen their decoding skills and support them in reading unfamiliar text. It was found that most students could interact with the eBook-material in ways that the envisioned learning trajectory in the study predicts are beneficial in strengthening their decoding skills. The study contributes with both principles for designing digital learning material with supportive features for decoding unfamiliar text and with a concrete proposal for a design. The perspectives for making reading acquisition more differentiated and meaningful for second graders in languages with irregular spelling are discussed.

Reality = relevance? Insights from spontaneous modulations of the brain's default network when telling apart reality from fiction.