WorldWideScience

Sample records for supporting text determination

  1. Text summarization as a decision support aid

    Directory of Open Access Journals (Sweden)

    Workman T

    2012-05-01

    Full Text Available Abstract Background PubMed data potentially can provide decision support information, but PubMed was not exclusively designed to be a point-of-care tool. Natural language processing applications that summarize PubMed citations hold promise for extracting decision support information. The objective of this study was to evaluate the efficiency of a text summarization application called Semantic MEDLINE, enhanced with a novel dynamic summarization method, in identifying decision support data. Methods We downloaded PubMed citations addressing the prevention and drug treatment of four disease topics. We then processed the citations with Semantic MEDLINE, enhanced with the dynamic summarization method. We also processed the citations with a conventional summarization method, as well as with a baseline procedure. We evaluated the results using clinician-vetted reference standards built from recommendations in a commercial decision support product, DynaMed. Results For the drug treatment data, Semantic MEDLINE enhanced with dynamic summarization achieved average recall and precision scores of 0.848 and 0.377, while conventional summarization produced 0.583 average recall and 0.712 average precision, and the baseline method yielded average recall and precision values of 0.252 and 0.277. For the prevention data, Semantic MEDLINE enhanced with dynamic summarization achieved average recall and precision scores of 0.655 and 0.329. The baseline technique resulted in recall and precision scores of 0.269 and 0.247. No conventional Semantic MEDLINE method accommodating summarization for prevention exists. Conclusion Semantic MEDLINE with dynamic summarization outperformed conventional summarization in terms of recall, and outperformed the baseline method in both recall and precision. This new approach to text summarization demonstrates potential in identifying decision support data for multiple needs.

  2. Hearing Math: Algebra Supported eText for Students With Visual Impairments.

    Science.gov (United States)

    Bouck, Emily C; Weng, Pei-Lin

    2014-01-01

    Supported eText for students with visual impairments in mathematics has a promising, emerging literature base, although little of the existing research focuses on implementation within a classroom setting. This qualitative study sought to understand the use of supported eText to deliver algebra to students with visual impairments enrolled in algebra mathematics courses. The study also sought to explore supported eText in contrast to students' traditional means of accessing an algebra text. The main results suggest supported eText holds potential in terms of delivering mathematics content; however, more research and more reflection on the field is needed regarding this approach as a sole means of presenting text. Implications for teacher professional development and implementation practices are discussed.

  3. Supporting narrative retells for people with aphasia using augmentative and alternative communication: photographs or line drawings? Text or no text?

    Science.gov (United States)

    Griffith, Julie; Dietz, Aimee; Weissling, Kristy

    2014-05-01

    The purpose of this study was to examine how the interface design of an augmentative and alternative communication (AAC) device influences the communication behaviors of people with aphasia during a narrative retell task. A case-series design was used. Four narratives were created on an AAC device with combinations of personally relevant (PR) photographs, line drawings (LDs), and text for each participant. The narrative retells were analyzed to describe the expressive modality units (EMUs) used, trouble sources experienced, and whether trouble sources were repaired. The researchers also explored the participants' perceived helpfulness of the interface features. The participants primarily used spoken EMUs to retell their narratives. They relied on PR photographs more frequently than LDs; however, they reported both picture types to be equally helpful. Text was frequently used and reported as helpful by all 4 people with aphasia. Participants experienced similar rates of trouble sources across conditions; however, they displayed unique trends for successful repairs of trouble sources. For narrative retells, LDs may serve as an effective visual support when PR photographs are unavailable. Individual assessment is necessary to determine the optimum combination of supports in AAC systems for people with aphasia.

  4. Supporting Learning from Illustrated Texts: Conceptualizing and Evaluating a Learning Strategy

    Science.gov (United States)

    Schlag, Sabine; Ploetzner, Rolf

    2011-01-01

    Texts and pictures are often combined in order to improve learning. Many students, however, have difficulty to appropriately process text-picture combinations. We have thus conceptualized a learning strategy which supports learning from illustrated texts. By inducing the processes of information selection, organization, integration, and…

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

    Science.gov (United States)

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

    2016-11-01

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

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

    Science.gov (United States)

    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

  7. Effect of Autonomy Support on Self-Determined Motivation in Elementary Physical Education

    Directory of Open Access Journals (Sweden)

    Yu-Kai Chang, Senlin Chen, Kun-Wei Tu, Li-Kang Chi

    2016-09-01

    Full Text Available Using the quasi-experimental design, this study examined the effect of autonomy support on self-determined motivation in elementary school physical education (PE students. One hundred and twenty six participants were assigned to either the autonomy support group (n = 61 or the control group (n = 65 for a six-week intervention period. Perceived teacher autonomy, perceived autonomy in PE, and self-determined motivation in PE were pre- and post-tested using validated questionnaires. Significant increases in perceived teacher autonomy and perceived autonomy in PE were observed in the autonomy support group, but not in the control group. Intrinsic motivation was higher in the autonomy support group than that in the control group. From an experimental perspective, these findings suggest that the autonomy support was successfully manipulated in the PE classes, which in turn increased the students’ perceived autonomy and intrinsic motivation.

  8. Mobile Phone Text Messages to Support Treatment Adherence in Adults With High Blood Pressure (SMS-Text Adherence Support [StAR]): A Single-Blind, Randomized Trial.

    Science.gov (United States)

    Bobrow, Kirsten; Farmer, Andrew J; Springer, David; Shanyinde, Milensu; Yu, Ly-Mee; Brennan, Thomas; Rayner, Brian; Namane, Mosedi; Steyn, Krisela; Tarassenko, Lionel; Levitt, Naomi

    2016-02-09

    We assessed the effect of automated treatment adherence support delivered via mobile phone short message system (SMS) text messages on blood pressure. In this pragmatic, single-blind, 3-arm, randomized trial (SMS-Text Adherence Support [StAR]) undertaken in South Africa, patients treated for high blood pressure were randomly allocated in a 1:1:1 ratio to information only, interactive SMS text messaging, or usual care. The primary outcome was change in systolic blood pressure at 12 months from baseline measured with a validated oscillometric device. All trial staff were masked to treatment allocation. Analyses were intention to treat. Between June 26, 2012, and November 23, 2012, 1372 participants were randomized to receive information-only SMS text messages (n=457), interactive SMS text messages (n=458), or usual care (n=457). Primary outcome data were available for 1256 participants (92%). At 12 months, the mean adjusted change in systolic blood pressure compared with usual care was -2.2 mm Hg (95% confidence interval, -4.4 to -0.04) with information-only SMS and -1.6 mm Hg (95% confidence interval, -3.7 to 0.6) with interactive SMS. Odds ratios for the proportion of participants with a blood pressure high blood pressure, we found a small reduction in systolic blood pressure control compared with usual care at 12 months. There was no evidence that an interactive intervention increased this effect. URL: http://www.clinicaltrials.gov. Unique identifier: NCT02019823. South African National Clinical Trials Register, number SANCTR DOH-27-1212-386; Pan Africa Trial Register, number PACTR201411000724141. © 2016 American Heart Association, Inc.

  9. Instruction in text-structure as a determinant of senior secondary ...

    African Journals Online (AJOL)

    The study determined the effectiveness of instruction in text-structure on achievement of students in English narrative text. The pretest-posttest control group quasi experimental design was adopted for the study. The participants were 120 students in intact classes from four purposively selected senior secondary schools in ...

  10. Randomized Trial of a Smartphone Mobile Application Compared to Text Messaging to Support Smoking Cessation

    OpenAIRE

    Buller, David B.; Borland, Ron; Bettinghaus, Erwin P.; Shane, James H.; Zimmerman, Donald E.

    2014-01-01

    Background: Text messaging has successfully supported smoking cessation. This study compares a mobile application with text messaging to support smoking cessation. Materials and Methods: Young adult smokers 18–30 years old (n=102) participated in a randomized pretest–posttest trial. Smokers received a smartphone application (REQ-Mobile) with short messages and interactive tools or a text messaging system (onQ), managed by an expert system. Self-reported usability of REQ-Mobile and qu...

  11. Text Mining to Support Gene Ontology Curation and Vice Versa.

    Science.gov (United States)

    Ruch, Patrick

    2017-01-01

    In this chapter, we explain how text mining can support the curation of molecular biology databases dealing with protein functions. We also show how curated data can play a disruptive role in the developments of text mining methods. We review a decade of efforts to improve the automatic assignment of Gene Ontology (GO) descriptors, the reference ontology for the characterization of genes and gene products. To illustrate the high potential of this approach, we compare the performances of an automatic text categorizer and show a large improvement of +225 % in both precision and recall on benchmarked data. We argue that automatic text categorization functions can ultimately be embedded into a Question-Answering (QA) system to answer questions related to protein functions. Because GO descriptors can be relatively long and specific, traditional QA systems cannot answer such questions. A new type of QA system, so-called Deep QA which uses machine learning methods trained with curated contents, is thus emerging. Finally, future advances of text mining instruments are directly dependent on the availability of high-quality annotated contents at every curation step. Databases workflows must start recording explicitly all the data they curate and ideally also some of the data they do not curate.

  12. Automated Determination of the Type of Genre and Stylistic Coloring of Russian Texts

    Directory of Open Access Journals (Sweden)

    Barakhnin Vladimir

    2017-01-01

    Full Text Available In this paper we propose the algorithm of automated definition of the genre type and semantic characteristics of poetic texts in Russian. We formulated the approaches to the construction of a joint (“two-dimensional” classifier of genre types and stylistic colouring of poetic texts, based on the definition of interdependence of the type of genre and stylistic colouring of the text. On the basis of these approaches the principles of formation of the training samples for the algorithms for the definition of styles and genre types were analyzed. The computational experiments with a corpus of texts of the Lyceum lyrics of A.S.Pushkin were implemented, which showed good results in determining the stylistic colouring of poetic texts and sufficient results in determining the genres. The proposed algorithms can be used for automation of the complex analysis of Russian poetic texts, significantly facilitating the work of the expert in determining their styles and genres by providing appropriate recommendations.

  13. Time to Engage? Texting to Support and Enhance First Year Undergraduate Learning

    Directory of Open Access Journals (Sweden)

    Geraldine Jones

    2009-04-01

    Full Text Available In this paper we discuss a case study investigating how the academic and personal development of first year students on an undergraduate sports education degree can be supported and enhanced with mobile SMS communication. SMS-based technologies were introduced in response to students’ particular needs (in transition to Higher Education and characteristics (‘digital natives’. Despite being unaccustomed to using their mobile phones for academic study, students willingly participated in SMS communication with their tutor via a texting management service. Drawing on evidence from two student surveys, focus groups and a tutor’s journal, we illustrate the potential that mobile SMS communication has to link and establish continuity between face to face teaching sessions and online learning activities in the Virtual Learning Environment (VLE. Many students perceived the SMS communication to have had a positive impact on their management of study time. We link our findings with the existing literature and argue that mobile text based communication has the potential to support the development of time management skills, an important component of self regulatory learning, a skill which has been shown to be key in making a successful transition.

  14. Effects of supported electronic text and explicit instruction on science comprehension by students with autism spectrum disorder

    Science.gov (United States)

    Knight, Victoria Floyd

    Supported electronic text (eText), or text that has been altered to increase access and provide support to learners, may promote comprehension of science content for students with disabilities. According to CAST, Book Builder(TM) uses supported eText to promote reading for meaning for all students. Although little research has been conducted in the area of supported eText for students with autism spectrum disorders (ASD), technology (e.g., computer assisted instruction) has been used for over 35 years to instruct students with ASD in academic areas. The purpose of this study was to evaluate the effects of a supported eText and explicit instruction on the science vocabulary and comprehension of four middle school students with ASD. Researchers used a multiple probe across participants design to evaluate the Book Builder (TM) program on measures of vocabulary, literal comprehension, and application questions. Results indicated a functional relation between the Book Builder(TM) and explicit instruction (i.e., model-lead-test, examples and non-examples, and referral to the definition) and the number of correct responses on the probe. In addition, students were able to generalize concepts to untrained exemplars. Finally, teachers and students validate the program as practical and useful.

  15. 25 CFR 11.609 - Determination of paternity and support.

    Science.gov (United States)

    2010-04-01

    ... OFFENSES AND LAW AND ORDER CODE Domestic Relations § 11.609 Determination of paternity and support. The... 25 Indians 1 2010-04-01 2010-04-01 false Determination of paternity and support. 11.609 Section 11... child and to obtain a judgment for the support of the child. A judgment of the court establishing the...

  16. Argo: an integrative, interactive, text mining-based workbench supporting curation

    Science.gov (United States)

    Rak, Rafal; Rowley, Andrew; Black, William; Ananiadou, Sophia

    2012-01-01

    Curation of biomedical literature is often supported by the automatic analysis of textual content that generally involves a sequence of individual processing components. Text mining (TM) has been used to enhance the process of manual biocuration, but has been focused on specific databases and tasks rather than an environment integrating TM tools into the curation pipeline, catering for a variety of tasks, types of information and applications. Processing components usually come from different sources and often lack interoperability. The well established Unstructured Information Management Architecture is a framework that addresses interoperability by defining common data structures and interfaces. However, most of the efforts are targeted towards software developers and are not suitable for curators, or are otherwise inconvenient to use on a higher level of abstraction. To overcome these issues we introduce Argo, an interoperable, integrative, interactive and collaborative system for text analysis with a convenient graphic user interface to ease the development of processing workflows and boost productivity in labour-intensive manual curation. Robust, scalable text analytics follow a modular approach, adopting component modules for distinct levels of text analysis. The user interface is available entirely through a web browser that saves the user from going through often complicated and platform-dependent installation procedures. Argo comes with a predefined set of processing components commonly used in text analysis, while giving the users the ability to deposit their own components. The system accommodates various areas and levels of user expertise, from TM and computational linguistics to ontology-based curation. One of the key functionalities of Argo is its ability to seamlessly incorporate user-interactive components, such as manual annotation editors, into otherwise completely automatic pipelines. As a use case, we demonstrate the functionality of an in

  17. The cost-effectiveness of smoking cessation support delivered by mobile phone text messaging: Txt2stop.

    Science.gov (United States)

    Guerriero, Carla; Cairns, John; Roberts, Ian; Rodgers, Anthony; Whittaker, Robyn; Free, Caroline

    2013-10-01

    The txt2stop trial has shown that mobile-phone-based smoking cessation support doubles biochemically validated quitting at 6 months. This study examines the cost-effectiveness of smoking cessation support delivered by mobile phone text messaging. The lifetime incremental costs and benefits of adding text-based support to current practice are estimated from a UK NHS perspective using a Markov model. The cost-effectiveness was measured in terms of cost per quitter, cost per life year gained and cost per QALY gained. As in previous studies, smokers are assumed to face a higher risk of experiencing the following five diseases: lung cancer, stroke, myocardial infarction, chronic obstructive pulmonary disease, and coronary heart disease (i.e. the main fatal or disabling, but by no means the only, adverse effects of prolonged smoking). The treatment costs and health state values associated with these diseases were identified from the literature. The analysis was based on the age and gender distribution observed in the txt2stop trial. Effectiveness and cost parameters were varied in deterministic sensitivity analyses, and a probabilistic sensitivity analysis was also performed. The cost of text-based support per 1,000 enrolled smokers is £16,120, which, given an estimated 58 additional quitters at 6 months, equates to £278 per quitter. However, when the future NHS costs saved (as a result of reduced smoking) are included, text-based support would be cost saving. It is estimated that 18 LYs are gained per 1,000 smokers (0.3 LYs per quitter) receiving text-based support, and 29 QALYs are gained (0.5 QALYs per quitter). The deterministic sensitivity analysis indicated that changes in individual model parameters did not alter the conclusion that this is a cost-effective intervention. Similarly, the probabilistic sensitivity analysis indicated a >90 % chance that the intervention will be cost saving. This study shows that under a wide variety of conditions, personalised

  18. The Effects of Literacy Support Tools on the Comprehension of Informational e-Books and Print-Based Text

    Science.gov (United States)

    Herman, Heather A.

    2017-01-01

    This mixed methods research explores the effects of literacy support tools to support comprehension strategies when reading informational e-books and print-based text with 14 first-grade students. This study focused on the following comprehension strategies: annotating connections, annotating "I wonders," and looking back in the text.…

  19. Promoting Supportive Relationships in Youth Programs: A Self-Determination Theory Perspective

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    Mat D. Duerden

    2008-12-01

    Full Text Available Although research suggests that positive contact with non-parental adults is developmentally beneficial for youth; many adolescents do not have access to such relationships. It is important that adults structure existing relationships to optimize positive youth development. Relationships with adults, who support youth’s needs for autonomy, relatedness, and competence, provide youth with scaffolding as they navigate their way through adolescence. Self-Determination Theory offers a straight-forward approach to understanding the elements of contexts that best promote the development of supportive relationships. The purpose of this paper is to review the literature concerning youth-adult relationships, including their associated prevalence and developmental benefits across multiple contexts. These findings are then integrated into a framework of best practices for developing and supporting positive youth relationships with adults within youth program settings. Several theory-based recommendations are offered for youth program administrators and staff who wish to improve youth-adult relationships in their programs.

  20. Understanding text-based persuasion and support tactics of concerned significant others

    Directory of Open Access Journals (Sweden)

    Katherine van Stolk-Cooke

    2015-08-01

    Full Text Available The behavior of concerned significant others (CSOs can have a measurable impact on the health and wellness of individuals attempting to meet behavioral and health goals, and research is needed to better understand the attributes of text-based CSO language when encouraging target significant others (TSOs to achieve those goals. In an effort to inform the development of interventions for CSOs, this study examined the language content of brief text-based messages generated by CSOs to motivate TSOs to achieve a behavioral goal. CSOs generated brief text-based messages for TSOs for three scenarios: (1 to help TSOs achieve the goal, (2 in the event that the TSO is struggling to meet the goal, and (3 in the event that the TSO has given up on meeting the goal. Results indicate that there was a significant relationship between the tone and compassion of messages generated by CSOs, the CSOs’ perceptions of TSO motivation, and their expectation of a grateful or annoyed reaction by the TSO to their feedback or support. Results underscore the importance of attending to patterns in language when CSOs communicate with TSOs about goal achievement or failure, and how certain variables in the CSOs’ perceptions of their TSOs affect these characteristics.

  1. Interactive image and text processing for nuclear treaty support

    International Nuclear Information System (INIS)

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

    1991-03-01

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

  2. Text localization using standard deviation analysis of structure elements and support vector machines

    Directory of Open Access Journals (Sweden)

    Zagoris Konstantinos

    2011-01-01

    Full Text Available Abstract A text localization technique is required to successfully exploit document images such as technical articles and letters. The proposed method detects and extracts text areas from document images. Initially a connected components analysis technique detects blocks of foreground objects. Then, a descriptor that consists of a set of suitable document structure elements is extracted from the blocks. This is achieved by incorporating an algorithm called Standard Deviation Analysis of Structure Elements (SDASE which maximizes the separability between the blocks. Another feature of the SDASE is that its length adapts according to the requirements of the application. Finally, the descriptor of each block is used as input to a trained support vector machines that classify the block as text or not. The proposed technique is also capable of adjusting to the text structure of the documents. Experimental results on benchmarking databases demonstrate the effectiveness of the proposed method.

  3. Why Educators Support Self-Determination for Students with Disabilities [and] Why Families Support Self-Determination for Students with Disabilities.

    Science.gov (United States)

    Minnesota Univ., Minneapolis. Inst. on Community Integration.

    Two brief papers provide reasons to support self-determination for students with disabilities, with one paper written from the perspective of educators and one written from the parents' perspective. Each paper discusses 11 benefits of self-determination, including: (1) personal control, (2) motivation, (3) prosocial behaviors, (4) self-awareness,…

  4. A Text Messaging Intervention to Support Option B+ in Kenya: A Qualitative Study.

    Science.gov (United States)

    Musoke, Pamela; Gakumo, C Ann; Abuogi, Lisa L; Akama, Eliud; Bukusi, Elizabeth; Helova, Anna; Nalwa, Wafula Z; Onono, Mariciannah; Spangler, Sydney A; Wanga, Iris; Turan, Janet M

    Key challenges in providing lifelong antiretroviral therapy (ART) to pregnant and breastfeeding women (Option B+) in sub-Saharan Africa include achieving long-term adherence and retention in care. One intervention that may help address these challenges is mobile text messaging. We evaluated the acceptability of a text messaging intervention to support women's ART adherence and retention in care in rural western Kenya. Forty in-depth interviews with 20 pregnant/postpartum women infected with HIV, their male partners, and four focus groups with 30 health care providers were conducted during September-November 2014. Data were coded and analyzed using thematic analysis. Findings revealed the following themes: (a) overall acceptability of the text messaging intervention; (b) proposed content of text messages; (c) format, timing, and language of text messages; and (d) potential challenges of the text messaging intervention. Findings were used to refine a text messaging intervention being evaluated at Kenyan study sites rolling out Option B+. Copyright © 2017 Association of Nurses in AIDS Care. Published by Elsevier Inc. All rights reserved.

  5. Parental support as a determinant in mastering history program in students with mild intellectual disability

    Directory of Open Access Journals (Sweden)

    Đurić-Zdravković Aleksandra

    2013-01-01

    Full Text Available The aim of this research is to determine the relation between parental support and mastering History program in students with mild intellectual disability. The research was conducted on a sample of 120 examinees of both genders, by meeting the following selection criteria: IQ between 51 and 69, aged between 12 and 15.11, attending V to VIII grade of elementary school, and absence of neurological, psychiatric, emotional and multiple disabilities. Scale for assessing parental support and Criteria test of knowledge in History were used in the research. The results show that the examinees' mothers are more involved in their children's school life and that they offer more support than the fathers. It was concluded that mother's involvement in the student's school life, as well as mother's support for autonomy significantly improve mastering history program. There was no statistically significant influence of father's involvement and support for autonomy on mastering history program. It was determined that only 7.6% of the total variability of mastering history program can be explained by mother's involvement in her child's school life, and 6.1% by mother's support for autonomy.

  6. Role of parental autonomy support on self-determination in influencing diet and exercise motivation in older adolescents

    Directory of Open Access Journals (Sweden)

    Morrison SA

    2013-04-01

    Full Text Available Shannon A Morrison, Carol J Dashiff, David E Vance School of Nursing, University of Alabama, Birmingham, AL, USA Abstract: Parental influence to promote autonomy and self-determination in their children as they grow up may also motivate them to exercise and eat healthily. Unfortunately, nutritious dietary consumption and physical activity frequency tend to decline during the adolescent years and reaches its lowest level as the adolescent nears adulthood. In this study of 132 freshman and sophomore college students, the influence of parental autonomy support on overall adolescents self-determination was examined to determine whether self-determination influences adolescents' motivation to engage in healthy diet and exercise behaviors. Utilizing hierarchical multiple regression analyses, parental autonomy support was not predictive of older adolescents' motivation for diet and exercise; however, study results did indicate that parental autonomy support remains highly influential in adolescent self-determination (F[2, 130] = 22.21; P = 0.001 during early college years and that in this sample, adolescent self-determination is predictive of motivation for diet (t = 2.21; P < 0.05, but not exercise. Findings suggest that parental autonomy support continues to influence adolescent internalization of attitudes and behaviors during latter adolescence, but may play a lessor role in motivation for specific health-related behaviors as the adolescent nears adulthood. A better understanding of health motivation antecedents of adolescents may facilitate nurses develop new approaches to health-promotion strategies. Keywords: parental autonomy support, self-determination, adolescent health behaviors, motivation

  7. Group Decision Support System Determination Of Best Employee Using Topsis And Borda

    Directory of Open Access Journals (Sweden)

    Made Arya Budhi

    2017-07-01

    Full Text Available Determining the best employee at Lombok Garden inteded to stimulate the performance of the hotel employees Lombok Garden. Improved performance of employees it will have a direct effect on the quality of hotel services. Employee performance appraisement are conducted by six assessors, namely the head of each department and consists of several criteria. Assessments will be difficult if done manually considering each appraiser has its own preferences in assessment. To solve that problem, we need a computer system that helps decision-making is a group decision support system (GDSS determination of the best employees in the hotel Lombok Garden.Group decision support system developed in this study using TOPSIS (Technique For Order Preference By Similiarity To Ideal Solution and Borda to assist decision-making group. TOPSIS method is used for decision-making in each appraiser, while the Borda method used to combine the results of each assessor's decision so as to obtain the final result of the best employees in Lombok Garden.Based on the final result of the system of determination of the best employees in the form of a ranking of the final value of each employee. The highest value will be used as a recommendation as the best employee at Lombok Garden.

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

    CERN Document Server

    Tourte, Gregory J L

    2016-01-01

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

  9. A RESEARCH AIMED AT DETERMINATION BETWEEN HUMAN RESOURCES PRACTICES AND PERCEIVED ORGANIZATIONAL SUPPORT RELATIONSHIP IN ORGANIZATIONS

    Directory of Open Access Journals (Sweden)

    EBRU AYKAN

    2013-06-01

    Full Text Available Perceived Organizational Support (POS which was popularized in the early 1990s, is conception that may have both positive and negative effect on the staff and organization. In many ways perceived organizational support can determine the continuity of an organization over the long term. This study look at relationship between human resources practices which is taken on five dimensions and perceived organizational support. An investigation has been conduct over bed and supplier industry in Kayseri. The research that was performed with 227 worker is concluded that there are positive relations between training and human resources politics practices and perceived organizational support as of dimensions and between human resource management practices and perceived organizational support as of general.

  10. Supporting the annotation of chronic obstructive pulmonary disease (COPD) phenotypes with text mining workflows.

    Science.gov (United States)

    Fu, Xiao; Batista-Navarro, Riza; Rak, Rafal; Ananiadou, Sophia

    2015-01-01

    Chronic obstructive pulmonary disease (COPD) is a life-threatening lung disorder whose recent prevalence has led to an increasing burden on public healthcare. Phenotypic information in electronic clinical records is essential in providing suitable personalised treatment to patients with COPD. However, as phenotypes are often "hidden" within free text in clinical records, clinicians could benefit from text mining systems that facilitate their prompt recognition. This paper reports on a semi-automatic methodology for producing a corpus that can ultimately support the development of text mining tools that, in turn, will expedite the process of identifying groups of COPD patients. A corpus of 30 full-text papers was formed based on selection criteria informed by the expertise of COPD specialists. We developed an annotation scheme that is aimed at producing fine-grained, expressive and computable COPD annotations without burdening our curators with a highly complicated task. This was implemented in the Argo platform by means of a semi-automatic annotation workflow that integrates several text mining tools, including a graphical user interface for marking up documents. When evaluated using gold standard (i.e., manually validated) annotations, the semi-automatic workflow was shown to obtain a micro-averaged F-score of 45.70% (with relaxed matching). Utilising the gold standard data to train new concept recognisers, we demonstrated that our corpus, although still a work in progress, can foster the development of significantly better performing COPD phenotype extractors. We describe in this work the means by which we aim to eventually support the process of COPD phenotype curation, i.e., by the application of various text mining tools integrated into an annotation workflow. Although the corpus being described is still under development, our results thus far are encouraging and show great potential in stimulating the development of further automatic COPD phenotype extractors.

  11. Randomized trial of a smartphone mobile application compared to text messaging to support smoking cessation.

    Science.gov (United States)

    Buller, David B; Borland, Ron; Bettinghaus, Erwin P; Shane, James H; Zimmerman, Donald E

    2014-03-01

    Text messaging has successfully supported smoking cessation. This study compares a mobile application with text messaging to support smoking cessation. Young adult smokers 18-30 years old (n = 102) participated in a randomized pretest-posttest trial. Smokers received a smartphone application (REQ-Mobile) with short messages and interactive tools or a text messaging system (onQ), managed by an expert system. Self-reported usability of REQ-Mobile and quitting behavior (quit attempts, point-prevalence, 30-day point-prevalence, and continued abstinence) were assessed in posttests. Overall, 60% of smokers used mobile services (REQ-Mobile, 61%, mean of 128.5 messages received; onQ, 59%, mean of 107.8 messages), and 75% evaluated REQ-Mobile as user-friendly. A majority of smokers reported being abstinent at posttest (6 weeks, 53% of completers; 12 weeks, 66% of completers [44% of all cases]). Also, 37% (25%of all cases) reported 30-day point-prevalence abstinence, and 32% (22% of all cases) reported continuous abstinence at 12 weeks. OnQ produced more abstinence (ptext messaging. Text messaging may work better because it is simple, well known, and delivered to a primary inbox. These advantages may disappear as smokers become more experienced with new handsets. Mobile phones may be promising delivery platforms for cessation services using either smartphone applications or text messaging.

  12. Identification of histone modifications in biomedical text for supporting epigenomic research.

    Science.gov (United States)

    Kolárik, Corinna; Klinger, Roman; Hofmann-Apitius, Martin

    2009-01-30

    Posttranslational modifications of histones influence the structure of chromatine and in such a way take part in the regulation of gene expression. Certain histone modification patterns, distributed over the genome, are connected to cell as well as tissue differentiation and to the adaption of organisms to their environment. Abnormal changes instead influence the development of disease states like cancer. The regulation mechanisms for modifying histones and its functionalities are the subject of epigenomics investigation and are still not completely understood. Text provides a rich resource of knowledge on epigenomics and modifications of histones in particular. It contains information about experimental studies, the conditions used, and results. To our knowledge, no approach has been published so far for identifying histone modifications in text. We have developed an approach for identifying histone modifications in biomedical literature with Conditional Random Fields (CRF) and for resolving the recognized histone modification term variants by term standardization. For the term identification F1 measures of 0.84 by 10-fold cross-validation on the training corpus and 0.81 on an independent test corpus have been obtained. The standardization enabled the correct transformation of 96% of the terms from training and 98% from test the corpus. Due to the lack of terminologies exhaustively covering specific histone modification types, we developed a histone modification term hierarchy for use in a semantic text retrieval system. The developed approach highly improves the retrieval of articles describing histone modifications. Since text contains context information about performed studies and experiments, the identification of histone modifications is the basis for supporting literature-based knowledge discovery and hypothesis generation to accelerate epigenomic research.

  13. Evaluation and Classification of Syntax Usage in Determining Short-Text Semantic Similarity

    Directory of Open Access Journals (Sweden)

    V. Batanović

    2014-06-01

    Full Text Available This paper outlines and categorizes ways of using syntactic information in a number of algorithms for determining the semantic similarity of short texts. We consider the use of word order information, part-of-speech tagging, parsing and semantic role labeling. We analyze and evaluate the effects of syntax usage on algorithm performance by utilizing the results of a paraphrase detection test on the Microsoft Research Paraphrase Corpus. We also propose a new classification of algorithms based on their applicability to languages with scarce natural language processing tools.

  14. Text message-based diabetes self-management support (SMS4BG): study protocol for a randomised controlled trial.

    Science.gov (United States)

    Dobson, Rosie; Whittaker, Robyn; Jiang, Yannan; Shepherd, Matthew; Maddison, Ralph; Carter, Karen; Cutfield, Richard; McNamara, Catherine; Khanolkar, Manish; Murphy, Rinki

    2016-04-02

    Addressing the increasing prevalence, and associated disease burden, of diabetes is a priority of health services internationally. Interventions to support patients to effectively self-manage their condition have the potential to reduce the risk of costly and debilitating complications. The utilisation of mobile phones to deliver self-management support allows for patient-centred care at the frequency and intensity that patients desire from outside the clinic environment. Self-Management Support for Blood Glucose (SMS4BG) is a novel text message-based intervention for supporting people with diabetes to improve self-management behaviours and achieve better glycaemic control and is tailored to individual patient preferences, demographics, clinical characteristics, and culture. This study aims to assess whether SMS4BG can improve glycaemic control in adults with poorly controlled diabetes. This paper outlines the rationale and methods of the trial. A two-arm, parallel, randomised controlled trial will be conducted across New Zealand health districts. One thousand participants will be randomised at a 1:1 ratio to receive SMS4BG, a theoretically based and individually tailored automated text message-based diabetes self-management support programme (intervention) in addition to usual care, or usual care alone (control). The primary outcome is change in glycaemic control (HbA1c) at 9 months. Secondary outcomes include glycaemic control at 3 and 6 months, self-efficacy, self-care behaviours, diabetes distress, health-related quality of life, perceived social support, and illness perceptions. Cost information and healthcare utilisation will also be collected as well as intervention satisfaction and interaction. This study will provide information on the effectiveness of a text message-based self-management support tool for people with diabetes. If found to be effective it has the potential to provide individualised support to people with diabetes across New Zealand (and

  15. TextTB: A Mixed Method Pilot Study Evaluating Acceptance, Feasibility, and Exploring Initial Efficacy of a Text Messaging Intervention to Support TB Treatment Adherence

    Directory of Open Access Journals (Sweden)

    Sarah Iribarren

    2013-01-01

    Full Text Available Objective. To assess a text messaging intervention to promote tuberculosis (TB treatment adherence. Methods. A mixed-methods pilot study was conducted within a public pulmonary-specialized hospital in Argentina. Patients newly diagnosed with TB who were 18 or older, and had mobile phone access were recruited and randomized to usual care plus either medication calendar (n=19 or text messaging intervention (n=18 for the first two months of treatment. Primary outcomes were feasibility and acceptability; secondary outcomes explored initial efficacy. Results. Feasibility was evidenced by high access to mobile phones, familiarity with texting, most phones limited to basic features, a low rate of participant refusal, and many describing suboptimal TB understanding. Acceptability was evidenced by participants indicating feeling cared for, supported, responsible for their treatment, and many self-reporting adherence without a reminder. Participants in the texting group self-reported adherence on average 77% of the days whereas only 53% in calendar group returned diaries. Exploring initial efficacy, microscopy testing was low and treatment outcomes were similar in both groups. Conclusion. The texting intervention was well accepted and feasible with greater reporting of adherence using text messaging than the diary. Further evaluation of the texting intervention is warranted.

  16. Cognitive Development Optimization Algorithm Based Support Vector Machines for Determining Diabetes

    Directory of Open Access Journals (Sweden)

    Utku Kose

    2016-03-01

    Full Text Available The definition, diagnosis and classification of Diabetes Mellitus and its complications are very important. First of all, the World Health Organization (WHO and other societies, as well as scientists have done lots of studies regarding this subject. One of the most important research interests of this subject is the computer supported decision systems for diagnosing diabetes. In such systems, Artificial Intelligence techniques are often used for several disease diagnostics to streamline the diagnostic process in daily routine and avoid misdiagnosis. In this study, a diabetes diagnosis system, which is formed via both Support Vector Machines (SVM and Cognitive Development Optimization Algorithm (CoDOA has been proposed. Along the training of SVM, CoDOA was used for determining the sigma parameter of the Gauss (RBF kernel function, and eventually, a classification process was made over the diabetes data set, which is related to Pima Indians. The proposed approach offers an alternative solution to the field of Artificial Intelligence-based diabetes diagnosis, and contributes to the related literature on diagnosis processes.

  17. Supporting Head Start Parents: Impact of a Text Message Intervention on Parent-Child Activity Engagement

    Science.gov (United States)

    Hurwitz, Lisa B.; Lauricella, Alexis R.; Hanson, Ann; Raden, Anthony; Wartella, Ellen

    2015-01-01

    Head Start emphasises parent engagement as a critical strategy in promoting children's long-term learning. Parents can support children's positive development by engaging them in stimulating activities. The following study assessed whether a service that delivered parenting tips via text message could prompt parents of children enrolled in Head…

  18. Using Shakespeare's Sotto Voce to Determine True Identity From Text

    Directory of Open Access Journals (Sweden)

    David Kernot

    2018-03-01

    Full Text Available Little is known of the private life of William Shakespeare, but he is famous for his collection of plays and poems, even though many of the works attributed to him were published anonymously. Determining the identity of Shakespeare has fascinated scholars for 400 years, and four significant figures in English literary history have been suggested as likely alternatives to Shakespeare for some disputed works: Bacon, de Vere, Stanley, and Marlowe. A myriad of computational and statistical tools and techniques have been used to determine the true authorship of his works. Many of these techniques rely on basic statistical correlations, word counts, collocated word groups, or keyword density, but no one method has been decided on. We suggest that an alternative technique that uses word semantics to draw on personality can provide an accurate profile of a person. To test this claim, we analyse the works of Shakespeare, Christopher Marlowe, and Elizabeth Cary. We use Word Accumulation Curves, Hierarchical Clustering overlays, Principal Component Analysis, and Linear Discriminant Analysis techniques in combination with RPAS, a multi-faceted text analysis approach that draws on a writer's personality, or self to identify subtle characteristics within a person's writing style. Here we find that RPAS can separate the known authored works of Shakespeare from Marlowe and Cary. Further, it separates their contested works, works suspected of being written by others. While few authorship identification techniques identify self from the way a person writes, we demonstrate that these stylistic characteristics are as applicable 400 years ago as they are today and have the potential to be used within cyberspace for law enforcement purposes.

  19. Text Message Support for Weight Loss in Patients With Prediabetes: A Randomized Clinical Trial.

    Science.gov (United States)

    Fischer, Henry H; Fischer, Ilana P; Pereira, Rocio I; Furniss, Anna L; Rozwadowski, Jeanne M; Moore, Susan L; Durfee, Michael J; Raghunath, Silvia G; Tsai, Adam G; Havranek, Edward P

    2016-08-01

    Although the benefits of in-person Diabetes Prevention Program (DPP) classes for diabetes prevention have been demonstrated in trials, effectiveness in clinical practice is limited by low participation rates. This study explores whether text message support enhances weight loss in patients offered DPP classes. English- and Spanish-speaking patients with prediabetes (n = 163) were randomized to the control group, which only received an invitation to DPP classes as defined by the Centers for Disease Control and Prevention, or to the text message-augmented intervention group, which also received text messages adapted from the DPP curriculum for 12 months. Mean weight decreased 0.6 pounds (95% CI -2.7 to 1.6) in the control group and 2.6 pounds (95% CI -5.5 to 0.2) in the intervention group (P value 0.05). Three percent weight loss was achieved by 21.5% of participants in the control group (95% CI 12.5-30.6), compared with 38.5% in the intervention group (95% CI 27.7-49.3) (absolute difference 17.0%; P value 0.02). Mean glycated hemoglobin (HbA1c) increased by 0.19% or 2.1 mmol/mol (95% CI -0.1 to 0.5%) and decreased by 0.09% or 1.0 mmol/mol (95% CI -0.2 to 0.0%) in the control group and intervention participants, respectively (absolute difference 0.28%; P value 0.07). Stratification by language demonstrated a significant treatment effect in Spanish speakers but not in English speakers. Text message support can lead to clinically significant weight loss in patients with prediabetes. Further study assessing effect by primary language and in an operational setting is warranted. © 2016 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.

  20. Adolescents just do not know what they want: a qualitative study to describe obese adolescents' experiences of text messaging to support behavior change maintenance post intervention.

    Science.gov (United States)

    Smith, Kyla L; Kerr, Deborah A; Fenner, Ashley A; Straker, Leon M

    2014-04-08

    Adolescents are considered a hard to reach group and novel approaches are needed to encourage good health. Text messaging interventions have been reported as acceptable to adolescents but there is little evidence regarding the use of text messages with overweight and obese adolescents to support engagement or behavior change after the conclusion of a healthy lifestyle program. The intent of this study was to explore the opinions of overweight adolescents and their parents regarding the use of text messages as a support during the maintenance period following an intervention. This paper reports on the findings from focus groups conducted with adolescents (n=12) and parents (n=13) who had completed an eight-week intensive intervention known as Curtin University's Activity, Food and Attitudes Program (CAFAP). Focus groups were conducted three months post intensive intervention. Participants were asked about their experiences of the prior three-month maintenance phase during which adolescents had received tri-weekly text messages based on the self-determination theory and goal-setting theory. Participants were asked about the style and content of text messages used as well as how they used the text messages. Data were analyzed using content and thematic analyses. Two clear themes emerged from the focus groups relating to (1) what adolescents liked or thought they wanted in a text message to support behavior change, and (2) how they experienced or responded to text messages. Within the "like/want" theme, there were five sub-themes relating to the overall tone of the text, frequency, timing, reference to long-term goals, and inclusion of practical tips. Within the "response to text" theme, there were four sub-themes describing a lack of motivation, barriers to change, feelings of shame, and perceived unfavorable comparison with other adolescents. What adolescents said they wanted in text messages often conflicted with their actual experiences. Parent reports provided a

  1. Development and Implementation of an Interactive Text Messaging Campaign to Support Behavior Change in a Childhood Obesity Randomized Controlled Trial.

    Science.gov (United States)

    Price, Sarah; Ferisin, Stephanie; Sharifi, Mona; Steinberg, David; Bennett, Gary; Wolin, Kathleen Y; Horan, Christine; Koziol, Renata; Marshall, Richard; Taveras, Elsie M

    2015-01-01

    Text messaging is a promising means of intervening on an array of health issues among varied populations, but little has been published about the development of such interventions. The authors describe the development and implementation of an interactive text messaging campaign for parents to support behavior change among children in a childhood obesity randomized controlled trial. The authors invited 160 parents to participate in a text messaging intervention that provided behavior change support in conjunction with health coaching phone calls and mailed materials on behavioral goals. Throughout the 1-year intervention, the authors sent 1-2 text messages per week. The first asked how the child did with a target behavior the day before; parents who replied received an immediate feedback message tailored to their response. The second included a tip about how to work toward a behavioral goal. Baseline surveys indicate that text messaging is a common means of communication for parents, and many are willing to use text messaging to support behavior change for their child. Results at 1 year indicate a high level of engagement with the text messaging intervention, with nearly two thirds responding to 75% or more of the questions they were sent by text.

  2. Using Text-to-Speech Reading Support for an Adult with Mild Aphasia and Cognitive Impairment

    Science.gov (United States)

    Harvey, Judy; Hux, Karen; Snell, Jeffry

    2013-01-01

    This single case study served to examine text-to-speech (TTS) effects on reading rate and comprehension in an individual with mild aphasia and cognitive impairment. Findings showed faster reading, given TTS presented at a normal speaking rate, but no significant comprehension changes. TTS may support reading in people with aphasia when time…

  3. Supportive text messages to reduce mood symptoms and problem drinking in patients with primary depression or alcohol use disorder: protocol for an implementation research study.

    Science.gov (United States)

    Agyapong, Vincent Israel Opoku; Mrklas, Kelly; Suen, Victoria Yung Mei; Rose, Marianne Sarah; Jahn, Megan; Gladue, Irene; Kozak, Jody; Leslie, Maureen; Dursun, Serdar; Ohinmaa, Arto; Greenshaw, Andrew

    2015-05-15

    Depression and Alcohol Use Disorders (AUDs) are two leading causes of disability worldwide and are associated with significant treatment challenges requiring new, innovative, cost-effective and technologically-based therapies including the use of supportive text messages. To determine the feasibility and effectiveness of supportive text messages in long-term follow-up to reduce mood symptoms and problem drinking in patients with Depression or AUD respectively and to explore the usefulness of self-reports of health services utilization as an outcomes measure. This will be a longitudinal, prospective, parallel-design, two-arm, placebo-controlled single-rater-blinded randomized clinical trial with a recruitment period of 6 months and an observation period of 12 months for each participant, with two strata based on primary diagnosis of Major Depressive Disorder or AUD. The sample size will be 120, with about 60 patients randomized from each primary diagnostic grouping. Patients in all intervention groups will receive twice-daily supportive SMS text messages for 3 months and then daily supportive text messages for the next three months. Patients will also receive a phone call every two weeks from the research assistant assigning treatment allocation to confirm that they are still receiving the text messages and to thank them for taking part in the study. Patients in the control group will receive no text messages but will also receive a phone call from the same research assistant every two weeks to thank them for taking part in the study. The study starts in April 2015 and ends in September 2016. It is envisaged that both qualitative and quantitative primary and secondary outcomes, including patient perceptions of the intervention, will shed light on the feasibility of using automated supportive text message interventions in long term for patients with Depression and AUD. This will inform a full-scale clinical trial. The paradigm for behavior change using text messages

  4. How do students navigate and learn from nonlinear science texts: Can metanavigation support promote science learning?

    Science.gov (United States)

    Stylianou, Agni

    2003-06-01

    Digital texts which are based on hypertext and hypermedia technologies are now being used to support science learning. Hypertext offers certain opportunities for learning as well as difficulties that challenge readers to become metacognitively aware of their navigation decisions in order to trade both meaning and structure while reading. The goal of this study was to investigate whether supporting sixth grade students to monitor and regulate their navigation behavior while reading from hypertext would lead to better navigation and learning. Metanavigation support in the form of prompts was provided to groups of students who used a hypertext system called CoMPASS to complete a design challenge. The metanavigation prompts aimed at encouraging students to understand the affordances of the navigational aids in CoMPASS and use them to guide their navigation. The study was conducted in a real classroom setting during the implementation of CoMPASS in sixth grade science classes. Multiple sources of group and individual data were collected and analyzed. Measures included student's individual performance in a pre-science knowledge test, the Metacognitive Awareness of Reading Strategies Inventory (MARSI), a reading comprehension test and a concept map test. Process measures included log file information that captured group navigation paths during the use of CoMPASS. The results suggested that providing metanavigation support enabled the groups to make coherent transitions among the text units. Findings also revealed that reading comprehension, presence of metanavigation support and prior domain knowledge significantly predicted students' individual understanding of science. Implications for hypertext design and literacy research fields are discussed.

  5. Extracorporeal Membrane Oxygenation for the Support of a Potential Organ Donor with a Fatal Brain Injury before Brain Death Determination

    Directory of Open Access Journals (Sweden)

    Sung Wook Chang

    2016-05-01

    Full Text Available The shortage of available organ donors is a significant problem and various efforts have been made to avoid the loss of organ donors. Among these, extracorporeal membrane oxygenation (ECMO has been introduced to help support and manage potential donors. Many traumatic brain injury patients have healthy organs that might be eligible for donation for transplantation. However, the condition of a donor with a fatal brain injury may rapidly deteriorate prior to brain death determination; this frequently results in the loss of eligible donors. Here, we report the use of venoarterial ECMO to support a potential donor with a fatal brain injury before brain death determination, and thereby preserve donor organs. The patient successfully donated his liver and kidneys after brain death determination.

  6. Adolescents Just Do Not Know What They Want: A Qualitative Study to Describe Obese Adolescents’ Experiences of Text Messaging to Support Behavior Change Maintenance Post Intervention

    Science.gov (United States)

    Kerr, Deborah A; Fenner, Ashley A; Straker, Leon M

    2014-01-01

    Background Adolescents are considered a hard to reach group and novel approaches are needed to encourage good health. Text messaging interventions have been reported as acceptable to adolescents but there is little evidence regarding the use of text messages with overweight and obese adolescents to support engagement or behavior change after the conclusion of a healthy lifestyle program. Objective The intent of this study was to explore the opinions of overweight adolescents and their parents regarding the use of text messages as a support during the maintenance period following an intervention. Methods This paper reports on the findings from focus groups conducted with adolescents (n=12) and parents (n=13) who had completed an eight-week intensive intervention known as Curtin University’s Activity, Food and Attitudes Program (CAFAP). Focus groups were conducted three months post intensive intervention. Participants were asked about their experiences of the prior three-month maintenance phase during which adolescents had received tri-weekly text messages based on the self-determination theory and goal-setting theory. Participants were asked about the style and content of text messages used as well as how they used the text messages. Data were analyzed using content and thematic analyses. Results Two clear themes emerged from the focus groups relating to (1) what adolescents liked or thought they wanted in a text message to support behavior change, and (2) how they experienced or responded to text messages. Within the “like/want” theme, there were five sub-themes relating to the overall tone of the text, frequency, timing, reference to long-term goals, and inclusion of practical tips. Within the “response to text” theme, there were four sub-themes describing a lack of motivation, barriers to change, feelings of shame, and perceived unfavorable comparison with other adolescents. What adolescents said they wanted in text messages often conflicted with their

  7. QTL Mapping of Sex Determination Loci Supports an Ancient Pathway in Ants and Honey Bees.

    Directory of Open Access Journals (Sweden)

    Misato O Miyakawa

    2015-11-01

    Full Text Available Sex determination mechanisms play a central role in life-history characteristics, affecting mating systems, sex ratios, inbreeding tolerance, etc. Downstream components of sex determination pathways are highly conserved, but upstream components evolve rapidly. Evolutionary dynamics of sex determination remain poorly understood, particularly because mechanisms appear so diverse. Here we investigate the origins and evolution of complementary sex determination (CSD in ants and bees. The honey bee has a well-characterized CSD locus, containing tandemly arranged homologs of the transformer gene [complementary sex determiner (csd and feminizer (fem]. Such tandem paralogs appear frequently in aculeate hymenopteran genomes. However, only comparative genomic, but not functional, data support a broader role for csd/fem in sex determination, and whether species other than the honey bee use this pathway remains controversial. Here we used a backcross to test whether csd/fem acts as a CSD locus in an ant (Vollenhovia emeryi. After sequencing and assembling the genome, we computed a linkage map, and conducted a quantitative trait locus (QTL analysis of diploid male production using 68 diploid males and 171 workers. We found two QTLs on separate linkage groups (CsdQTL1 and CsdQTL2 that jointly explained 98.0% of the phenotypic variance. CsdQTL1 included two tandem transformer homologs. These data support the prediction that the same CSD mechanism has indeed been conserved for over 100 million years. CsdQTL2 had no similarity to CsdQTL1 and included a 236-kb region with no obvious CSD gene candidates, making it impossible to conclusively characterize it using our data. The sequence of this locus was conserved in at least one other ant genome that diverged >75 million years ago. By applying QTL analysis to ants for the first time, we support the hypothesis that elements of hymenopteran CSD are ancient, but also show that more remains to be learned about the

  8. Applicability of a Supported Liquid Membrane in the Enrichment and Determination of Cadmium from Complex Aqueous Samples

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    Núria Pont

    2018-04-01

    Full Text Available A supported liquid membrane is developed for the separation of Cd from either high in salinity or acidity aqueous media. The membrane consisted of a durapore (polyvinylidene difluoride polymeric support impregnated with a 0.5 M Aliquat 336 solution in decaline. The effect of carrier concentration, organic solvent and feed and receiving solutions on the metal permeability is studied. This system allows the effective transport of trace levels of Cd through the formation of CdCl42−, which is the predominant species responsible for the extraction process, in both NaCl and HCl solutions. The supported liquid membrane system in a hollow fibre configuration allows the enrichment and separation of trace levels of Cd from spiked seawater samples, facilitating the analytical determination of this toxic metal.

  9. Text-Based Vocabulary Intervention Training Study: Supporting Fourth Graders with Low Reading Comprehension and Learning Disabilities

    Science.gov (United States)

    Solís, Michael; Scammacca, Nancy; Barth, Amy E.; Roberts, Garrett J.

    2017-01-01

    This experimental study examined the effectiveness of a text-based reading and vocabulary intervention with self-regulatory supports for 4th graders with low reading comprehension. Students with standard scores on the Gates MacGinitie Reading Test between 1.0 standard deviation (SD) and 0.5 SD below the normative sample were included (N=44) and…

  10. Effect of Autonomy Support on Self-Determined Motivation in Elementary Physical Education.

    Science.gov (United States)

    Chang, Yu-Kai; Chen, Senlin; Tu, Kun-Wei; Chi, Li-Kang

    2016-09-01

    Using the quasi-experimental design, this study examined the effect of autonomy support on self-determined motivation in elementary school physical education (PE) students. One hundred and twenty six participants were assigned to either the autonomy support group (n = 61) or the control group (n = 65) for a six-week intervention period. Perceived teacher autonomy, perceived autonomy in PE, and self-determined motivation in PE were pre- and post-tested using validated questionnaires. Significant increases in perceived teacher autonomy and perceived autonomy in PE were observed in the autonomy support group, but not in the control group. Intrinsic motivation was higher in the autonomy support group than that in the control group. From an experimental perspective, these findings suggest that the autonomy support was successfully manipulated in the PE classes, which in turn increased the students' perceived autonomy and intrinsic motivation.

  11. Stope and Gully Support: Final report

    CSIR Research Space (South Africa)

    Roberts, MKC

    1995-12-01

    Full Text Available This project had two objectives namely: Develop a rationale for the design of stope support systems. Determine support resistance criteria for the support of stope gullies for both static and dynamic loading and develop improved support systems...

  12. Cell line name recognition in support of the identification of synthetic lethality in cancer from text

    Science.gov (United States)

    Kaewphan, Suwisa; Van Landeghem, Sofie; Ohta, Tomoko; Van de Peer, Yves; Ginter, Filip; Pyysalo, Sampo

    2016-01-01

    Motivation: The recognition and normalization of cell line names in text is an important task in biomedical text mining research, facilitating for instance the identification of synthetically lethal genes from the literature. While several tools have previously been developed to address cell line recognition, it is unclear whether available systems can perform sufficiently well in realistic and broad-coverage applications such as extracting synthetically lethal genes from the cancer literature. In this study, we revisit the cell line name recognition task, evaluating both available systems and newly introduced methods on various resources to obtain a reliable tagger not tied to any specific subdomain. In support of this task, we introduce two text collections manually annotated for cell line names: the broad-coverage corpus Gellus and CLL, a focused target domain corpus. Results: We find that the best performance is achieved using NERsuite, a machine learning system based on Conditional Random Fields, trained on the Gellus corpus and supported with a dictionary of cell line names. The system achieves an F-score of 88.46% on the test set of Gellus and 85.98% on the independently annotated CLL corpus. It was further applied at large scale to 24 302 102 unannotated articles, resulting in the identification of 5 181 342 cell line mentions, normalized to 11 755 unique cell line database identifiers. Availability and implementation: The manually annotated datasets, the cell line dictionary, derived corpora, NERsuite models and the results of the large-scale run on unannotated texts are available under open licenses at http://turkunlp.github.io/Cell-line-recognition/. Contact: sukaew@utu.fi PMID:26428294

  13. Efficacy of a text messaging (SMS) based intervention for adults with hypertension: protocol for the StAR (SMS Text-message Adherence suppoRt trial) randomised controlled trial.

    Science.gov (United States)

    Bobrow, Kirsty; Brennan, Thomas; Springer, David; Levitt, Naomi S; Rayner, Brian; Namane, Mosedi; Yu, Ly-Mee; Tarassenko, Lionel; Farmer, Andrew

    2014-01-11

    Interventions to support people with hypertension in attending clinics and taking their medication have potential to improve outcomes, but delivery on a wide scale and at low cost is challenging. Some trials evaluating clinical interventions using short message service (SMS) text-messaging systems have shown important outcomes, although evidence is limited. We have developed a novel SMS system integrated with clinical care for use by people with hypertension in a low-resource setting. We aim to test the efficacy of the system in improving blood pressure control and treatment adherence compared to usual care. The SMS Text-message Adherence suppoRt trial (StAR) is a pragmatic individually randomised three-arm parallel group trial in adults treated for hypertension at a single primary care centre in Cape Town, South Africa. The intervention is a structured programme of clinic appointment, medication pick-up reminders, medication adherence support and hypertension-related education delivered remotely using an automated system with either informational or interactive SMS text-messages. Usual care is supplemented by infrequent non-hypertension related SMS text-messages. Participants are 1:1:1 individually randomised, to usual care or to one of the two active interventions using minimisation to dynamically adjust for gender, age, baseline systolic blood pressure, years with hypertension, and previous clinic attendance. The primary outcome is the change in mean systolic blood pressure at 12-month follow-up from baseline measured with research staff blinded to trial allocation. Secondary outcomes include the proportion of patients with 80% or more of days medication available, proportion of participants achieving a systolic blood pressure less than 140 mmHg and a diastolic blood pressure less than 90 mmHg, hospital admissions, health status, retention in clinical care, satisfaction with treatment and care, and patient related quality of life. Anonymised demographic data

  14. Women's and Midwives' Perspectives on the Design of a Text Messaging Support for Maternal Obesity Services: An Exploratory Study

    Directory of Open Access Journals (Sweden)

    H. Soltani

    2012-01-01

    Full Text Available This study was aimed to explore women’s and midwives’ views on the use of mobile technology in supporting obese pregnant women with healthy lifestyle choices. A purposive sample of 14 women and midwives participated in four focus groups in Doncaster, UK. A content analysis of the transcripts from the first focus group led to the emergence of three main constructs with associated subcategories including Benefits (“modernising,” “motivating,” “reminding,” and “reducing” the sense of isolation, Risks and Limitations (possibility of “being offensive,” “creating pressure or guilt,” and “being influenced by mood”, and Service Delivery (making it “available to all pregnant women,” giving attention to the “message tone” and development of “message content”. They also suggested the use of other modalities such as web-based services for weight management during pregnancy. Based on the above results a text messaging service was developed and presented to the 2nd focus group participants who confirmed the positive views from the first focus group on the use of the text messaging as being supportive and informative. The participants also welcomed “women’s engagement and choice” in deciding the content, timing and frequency of messages. The results informed the development of a text messaging service to support maternal obesity management. The implementation and acceptability of this service requires further investigation.

  15. Effective Method for Determining Environmental Loads on Supporting Structures for Offshore Wind Turbines

    Directory of Open Access Journals (Sweden)

    Dymarski Paweł

    2016-01-01

    Full Text Available This paper presents a description of an effective method for determining loads due to waves and current acting on the supporting structures of the offshore wind turbines. This method is dedicated to the structures consisting of the cylindrical or conical elements as well as (truncates pyramids of polygon with a large number of sides (8 or more. The presented computational method is based on the Morison equation, which was originally developed only for cylindrically shaped structures. The new algorithm shown here uses the coefficients of inertia and drag forces that were calculated for non-cylindrical shapes. The analysed structure consists of segments which are truncated pyramids on the basis of a hex decagon. The inertia coefficients, CM, and drag coefficients, CD, were determined using RANSE-CFD calculations. The CFD simulations were performed for a specific range of variation of the period, and for a certain range of amplitudes of the velocity. In addition, the analysis of influence of the surface roughness on the inertia and drag coefficients was performed. In the next step, the computations of sea wave, current and wind load on supporting structure for the fifty-year storm were carried out. The simulations were performed in the time domain and as a result the function of forces distribution along the construction elements was obtained. The most unfavourable distribution of forces will be used, to analyse the strength of the structure, as the design load.

  16. Determination of respiratory system compliance during pressure support ventilation by small variations of pressure support.

    Science.gov (United States)

    Becher, Tobias; Schädler, Dirk; Rostalski, Philipp; Zick, Günther; Frerichs, Inéz; Weiler, Norbert

    2017-09-22

    In mechanically ventilated patients, measurement of respiratory system compliance (C rs ) is of high clinical interest. Spontaneous breathing activity during pressure support ventilation (PSV) can impede the correct assessment of C rs and also alter the true C rs by inducing lung recruitment. We describe a method for determination of C rs during PSV and assess its accuracy in a study on 20 mechanically ventilated patients. To assess C rs during pressure support ventilation (C rs,PSV ), we performed repeated changes in pressure support level by ± 2 cmH 2 O. C rs,PSV was calculated from the volume change induced by these changes in pressure support level, taking into account the inspiration time and the expiratory time constant. As reference methods, we used C rs , measured during volume controlled ventilation (C rs,VCV ). In a post-hoc analysis, we assessed C rs during the last 20% of the volume-controlled inflation (C rs,VCV20 ). Values were compared by linear regression and Bland-Altman methods comparison. Comparing C rs,PSV to the reference value C rs,VCV , we found a coefficient of determination (r 2 ) of 0.90, but a relatively high bias of - 7 ml/cm H 2 O (95% limits of agreement - 16.7 to + 2.7 ml/cmH 2 O). Comparison with C rs,VCV20 resulted in a negligible bias (- 1.3 ml/cmH 2 O, 95% limits of agreement - 13.9 to + 11.3) and r 2 of 0.81. We conclude that the novel method provides an estimate of end-inspiratory C rs during PSV. Despite its limited accuracy, it might be useful for non-invasive monitoring of C rs in patients undergoing pressure support ventilation.

  17. Can basic life support personnel safely determine that advanced life support is not needed?

    Science.gov (United States)

    Cone, D C; Wydro, G C

    2001-01-01

    To determine whether firefighter/emergency medical technicians-basic (FF/EMT-Bs) staffing basic life support (BLS) ambulances in a two-tiered emergency medical services (EMS) system can safely determine when advanced life support (ALS) is not needed. This was a prospective, observational study conducted in two academic emergency departments (EDs) receiving patients from a large urban fire-based EMS system. Runs were studied to which ALS and BLS ambulances were simultaneously dispatched, with the patient transported by the BLS unit. Prospectively established criteria for potential need for ALS were used to determine whether the FF/EMT-B's decision to cancel the ALS unit was safe, and simple outcomes (admission rate, length of stay, mortality) were examined. In the system studied, BLS crews may cancel responding ALS units at their discretion; there are no protocols or medical criteria for cancellation. A convenience sample of 69 cases was collected. In 52 cases (75%), the BLS providers indicated that they cancelled the responding ALS unit because they did not feel ALS was needed. Of these, 40 (77%) met study criteria for ALS: 39 had potentially serious chief complaints, nine had abnormal vital signs, and ten had physical exam findings that warranted ALS. Forty-five (87%) received an intervention immediately upon ED arrival that could have been provided in the field by an ALS unit, and 16 (31%) were admitted, with a median length of stay of 3.3 days (range 1.1-73.4 days). One patient died. Firefighter/EMT-Bs, working without protocols or medical criteria, cannot always safely determine which patients may require ALS intervention.

  18. Psychological and Educational Support in Professional Self-Determination in Students: Through the Lens of Professional Standard for Teachers

    Directory of Open Access Journals (Sweden)

    Antonova M.V.,

    2016-07-01

    Full Text Available The paper focuses on the importance of organized educational support for students in their professional self-determination. It reviews the list of professional competencies defined in the professional standard for teachers dealing with self-determination in students and analyses the basic requirements set for teacher education programmes. The system of professional self-determination for young people is described basing on the experience of the Republic of Mordovia, where career guidance in schools is regulated by the Regional Educational Module “Start into the Profession”. This module was developed according to the specifics of the given region and represents an integrated system of activities aimed at efficient career guidance for students living in rural and urban areas of the Republic of Mordovia.

  19. PubMedPortable: A Framework for Supporting the Development of Text Mining Applications.

    Science.gov (United States)

    Döring, Kersten; Grüning, Björn A; Telukunta, Kiran K; Thomas, Philippe; Günther, Stefan

    2016-01-01

    Information extraction from biomedical literature is continuously growing in scope and importance. Many tools exist that perform named entity recognition, e.g. of proteins, chemical compounds, and diseases. Furthermore, several approaches deal with the extraction of relations between identified entities. The BioCreative community supports these developments with yearly open challenges, which led to a standardised XML text annotation format called BioC. PubMed provides access to the largest open biomedical literature repository, but there is no unified way of connecting its data to natural language processing tools. Therefore, an appropriate data environment is needed as a basis to combine different software solutions and to develop customised text mining applications. PubMedPortable builds a relational database and a full text index on PubMed citations. It can be applied either to the complete PubMed data set or an arbitrary subset of downloaded PubMed XML files. The software provides the infrastructure to combine stand-alone applications by exporting different data formats, e.g. BioC. The presented workflows show how to use PubMedPortable to retrieve, store, and analyse a disease-specific data set. The provided use cases are well documented in the PubMedPortable wiki. The open-source software library is small, easy to use, and scalable to the user's system requirements. It is freely available for Linux on the web at https://github.com/KerstenDoering/PubMedPortable and for other operating systems as a virtual container. The approach was tested extensively and applied successfully in several projects.

  20. Autonomy support, need satisfaction, and motivation for support among adults with intellectual disability : Testing a self-determination theory model

    NARCIS (Netherlands)

    Frielink, N.; Schuengel, C.; Embregts, P.J.C.M.

    2018-01-01

    The tenets of self-determination theory as applied to support were tested with structural equation modelling for 186 people with ID with a mild to borderline level of functioning. The results showed that (a) perceived autonomy support was positively associated with autonomous motivation and with

  1. Text Mining for Protein Docking.

    Directory of Open Access Journals (Sweden)

    Varsha D Badal

    2015-12-01

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

  2. Extracting Characteristics of the Study Subjects from Full-Text Articles.

    Science.gov (United States)

    Demner-Fushman, Dina; Mork, James G

    Characteristics of the subjects of biomedical research are important in determining if a publication describing the research is relevant to a search. To facilitate finding relevant publications, MEDLINE citations provide Medical Subject Headings that describe the subjects' characteristics, such as their species, gender, and age. We seek to improve the recommendation of these headings by the Medical Text Indexer (MTI) that supports manual indexing of MEDLINE. To that end, we explore the potential of the full text of the publications. Using simple recall-oriented rule-based methods we determined that adding sentences extracted from the methods sections and captions to the abstracts prior to MTI processing significantly improved recall and F1 score with only a slight drop in precision. Improvements were also achieved in directly assigning several headings extracted from the full text. These results indicate the need for further development of automated methods capable of leveraging the full text for indexing.

  3. Leveraging text messaging and mobile technology to support pediatric obesity-related behavior change: a qualitative study using parent focus groups and interviews.

    Science.gov (United States)

    Sharifi, Mona; Dryden, Eileen M; Horan, Christine M; Price, Sarah; Marshall, Richard; Hacker, Karen; Finkelstein, Jonathan A; Taveras, Elsie M

    2013-12-06

    Text messaging (short message service, SMS) is a widely accessible and potentially cost-effective medium for encouraging behavior change. Few studies have examined text messaging interventions to influence child health behaviors or explored parental perceptions of mobile technologies to support behavior change among children. Our aim was to examine parental acceptability and preferences for text messaging to support pediatric obesity-related behavior change. We conducted focus groups and follow-up interviews with parents of overweight and obese children, aged 6-12 years, seen for "well-child" care in eastern Massachusetts. A professional moderator used a semistructured discussion guide and sample text messages to catalyze group discussions. Seven participants then received 3 weeks of text messages before a follow-up one-on-one telephone interview. All focus groups and interviews were recorded and transcribed verbatim. Using a framework analysis approach, we systematically coded and analyzed group and interview data to identify salient and convergent themes. We reached thematic saturation after five focus groups and seven follow-up interviews with a total of 31 parents of diverse race/ethnicity and education levels. Parents were generally enthusiastic about receiving text messages to support healthy behaviors for their children and preferred them to paper or email communication because they are brief and difficult to ignore. Participants anticipated high responsiveness to messaging endorsed by their child's doctor and indicated they would appreciate messages 2-3 times/week or more as long as content remains relevant. Suggestions for maintaining message relevance included providing specific strategies for implementation and personalizing information. Most felt the negative features of text messaging (eg, limited message size) could be overcome by providing links within messages to other media including email or websites. Text messaging is a promising medium for

  4. Tacit verification of determinate and indeterminate text ideas.

    Science.gov (United States)

    Singer, Murray

    2009-09-01

    Singer presented evidence that reading time reflects, in part, processes of continuously verifying current clauses with reference to their text antecedents. This study extended that analysis to text ideas of indeterminate truth in their discourse context. For example, having read simply that Norm's house was destroyed, one might later read that Norm's cousin believed that Norm's house was destroyed by a fire. Research concerning people's reports of not knowing something suggested that the reading of clauses of indeterminate truth would be faster than for false or inconsistent clauses. In two experiments, target sentences varied in their truth, verb entailments, and use of negation with reference to their antecedents. Reading time for indeterminate targets was sometimes distinctly shorter and was never longer than for corresponding false targets. The effects were modulated by the entailments of factive and nonfactive main verbs and by negative expression. All of the conditions that were identical to ones of Singer (2006) replicated the former findings. It was concluded that encountering text ideas of indeterminate truth does not initiate protracted memory searches for comparable concepts.

  5. Identifying support functions in developmental relationships: A self-determination perspective

    NARCIS (Netherlands)

    Janssen, Suzanne; van Vuuren, Hubrecht A.; de Jong, Menno D.T.

    2013-01-01

    This study examines the content of developmental networks from the perspective of self-determination theory. We qualitatively examine 18 protégés' constellations of developmental relationships to identify specific types of developmental support functions. Our study shows that the adoption of

  6. Using Shakespeare's Sotto Voce to Determine True Identity From Text

    Science.gov (United States)

    Kernot, David; Bossomaier, Terry; Bradbury, Roger

    2018-01-01

    Little is known of the private life of William Shakespeare, but he is famous for his collection of plays and poems, even though many of the works attributed to him were published anonymously. Determining the identity of Shakespeare has fascinated scholars for 400 years, and four significant figures in English literary history have been suggested as likely alternatives to Shakespeare for some disputed works: Bacon, de Vere, Stanley, and Marlowe. A myriad of computational and statistical tools and techniques have been used to determine the true authorship of his works. Many of these techniques rely on basic statistical correlations, word counts, collocated word groups, or keyword density, but no one method has been decided on. We suggest that an alternative technique that uses word semantics to draw on personality can provide an accurate profile of a person. To test this claim, we analyse the works of Shakespeare, Christopher Marlowe, and Elizabeth Cary. We use Word Accumulation Curves, Hierarchical Clustering overlays, Principal Component Analysis, and Linear Discriminant Analysis techniques in combination with RPAS, a multi-faceted text analysis approach that draws on a writer's personality, or self to identify subtle characteristics within a person's writing style. Here we find that RPAS can separate the known authored works of Shakespeare from Marlowe and Cary. Further, it separates their contested works, works suspected of being written by others. While few authorship identification techniques identify self from the way a person writes, we demonstrate that these stylistic characteristics are as applicable 400 years ago as they are today and have the potential to be used within cyberspace for law enforcement purposes. PMID:29599734

  7. Monitoring interaction and collective text production through text mining

    Directory of Open Access Journals (Sweden)

    Macedo, Alexandra Lorandi

    2014-04-01

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

  8. Autonomy Support, Need Satisfaction, and Motivation for Support among Adults with Intellectual Disability: Testing a Self-Determination Theory Model

    Science.gov (United States)

    Frielink, Noud; Schuengel, Carlo; Embregts, Petri J. C. M.

    2018-01-01

    The tenets of self-determination theory as applied to support were tested with structural equation modelling for 186 people with ID with a mild to borderline level of functioning. The results showed that (a) perceived autonomy support was positively associated with autonomous motivation and with satisfaction of need for autonomy, relatedness, and…

  9. Uptake of Tailored Text Message Smoking Cessation Support in Pregnancy When Advertised on the Internet (MiQuit): Observational Study

    OpenAIRE

    Emery, Joanne L; Coleman, Tim; Sutton, Stephen; Cooper, Sue; Leonardi-Bee, Jo; Jones, Matthew; Naughton, Felix

    2018-01-01

    Background: Smoking in pregnancy is a major public health concern. Pregnant smokers are particularly difficult to reach, with low uptake of support options and few effective interventions. Text message–based self-help is a promising, low-cost intervention for this population, but its real-world uptake is largely unknown. Objective: The objective of this study was to explore the uptake and cost-effectiveness of a tailored, theory-guided, text message intervention for pregnant smokers (“MiQuit”...

  10. Effect of Autonomy Support on Self-Determined Motivation in Elementary Physical Education

    Science.gov (United States)

    Chang, Yu-Kai; Chen, Senlin; Tu, Kun-Wei; Chi, Li-Kang

    2016-01-01

    Using the quasi-experimental design, this study examined the effect of autonomy support on self-determined motivation in elementary school physical education (PE) students. One hundred and twenty six participants were assigned to either the autonomy support group (n = 61) or the control group (n = 65) for a six-week intervention period. Perceived teacher autonomy, perceived autonomy in PE, and self-determined motivation in PE were pre- and post-tested using validated questionnaires. Significant increases in perceived teacher autonomy and perceived autonomy in PE were observed in the autonomy support group, but not in the control group. Intrinsic motivation was higher in the autonomy support group than that in the control group. From an experimental perspective, these findings suggest that the autonomy support was successfully manipulated in the PE classes, which in turn increased the students’ perceived autonomy and intrinsic motivation. Key points The SDT is a relevant theoretical framework for elementary school physical education. Using the quasi-experimental research design, this study is one of the earlies studies supporting that elementary school PE teachers can manipulate the instructional context using the SDT to increase students’ perceived autonomy and intrinsic motivation. Increasing students’ perceived autonomy may not lead to significant changes in other SDT constructs (i.e., amotivation, external regulation, introjected regulation, and identified regulation). PMID:27803624

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

    Science.gov (United States)

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

    2013-12-01

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

  12. Illustrations and supporting texts for sound standing waves of air columns in pipes in introductory physics textbooks

    Directory of Open Access Journals (Sweden)

    Liang Zeng

    2014-07-01

    Full Text Available In our pilot studies, we found that many introductory physics textbook illustrations with supporting text for sound standing waves of air columns in open-open, open-closed, and closed-closed pipes inhibit student understanding of sound standing wave phenomena due to student misunderstanding of how air molecules move within these pipes. Based on the construct of meaningful learning from cognitive psychology and semiotics, a quasiexperimental study was conducted to investigate the comparative effectiveness of two alternative approaches to student understanding: a traditional textbook illustration approach versus a newly designed air molecule motion illustration approach. Thirty volunteer students from introductory physics classes were randomly assigned to two groups of 15 each. Both groups were administered a presurvey. Then, group A read the air molecule motion illustration handout, and group B read a traditional textbook illustration handout; both groups were administered postsurveys. Subsequently, the procedure was reversed: group B read the air molecule motion illustration handout and group A read the traditional textbook illustration handout. This was followed by a second postsurvey along with an exit research questionnaire. The study found that the majority of students experienced meaningful learning and stated that they understood sound standing wave phenomena significantly better using the air molecule motion illustration approach. This finding provides a method for physics education researchers to design illustrations for abstract sound standing wave concepts, for publishers to improve their illustrations with supporting text, and for instructors to facilitate deeper learning in their students on sound standing waves.

  13. Text-based Healthcare Chatbots Supporting Patient and Health Professional Teams: Preliminary Results of a Randomized Controlled Trial on Childhood Obesity

    OpenAIRE

    Kowatsch, Tobias; Nißen, Marcia; Shih, Chen-Hsuan Iris; Rüegger, Dominik; Volland, Dirk; Filler, Andreas; Künzler, Florian; Barata, Filipe; Büchter, Dirk; Brogle, Björn; Heldt, Katrin; Gindrat, Pauline; Farpour-Lambert, Nathalie; l’Allemand, Dagmar

    2017-01-01

    Health professionals have limited resources and are not able to personally monitor and support patients in their everyday life. Against this background and due to the increasing number of self-service channels and digital health interventions, we investigate how text-based healthcare chatbots (THCB) can be designed to effectively support patients and health professionals in therapeutic settings beyond on-site consultations. We present an open source THCB system and how the THCP was designed f...

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

    Science.gov (United States)

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

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

  15. Facilitating text reading in posterior cortical atrophy.

    Science.gov (United States)

    Yong, Keir X X; Rajdev, Kishan; Shakespeare, Timothy J; Leff, Alexander P; Crutch, Sebastian J

    2015-07-28

    We report (1) the quantitative investigation of text reading in posterior cortical atrophy (PCA), and (2) the effects of 2 novel software-based reading aids that result in dramatic improvements in the reading ability of patients with PCA. Reading performance, eye movements, and fixations were assessed in patients with PCA and typical Alzheimer disease and in healthy controls (experiment 1). Two reading aids (single- and double-word) were evaluated based on the notion that reducing the spatial and oculomotor demands of text reading might support reading in PCA (experiment 2). Mean reading accuracy in patients with PCA was significantly worse (57%) compared with both patients with typical Alzheimer disease (98%) and healthy controls (99%); spatial aspects of passages were the primary determinants of text reading ability in PCA. Both aids led to considerable gains in reading accuracy (PCA mean reading accuracy: single-word reading aid = 96%; individual patient improvement range: 6%-270%) and self-rated measures of reading. Data suggest a greater efficiency of fixations and eye movements under the single-word reading aid in patients with PCA. These findings demonstrate how neurologic characterization of a neurodegenerative syndrome (PCA) and detailed cognitive analysis of an important everyday skill (reading) can combine to yield aids capable of supporting important everyday functional abilities. This study provides Class III evidence that for patients with PCA, 2 software-based reading aids (single-word and double-word) improve reading accuracy. © 2015 American Academy of Neurology.

  16. Facilitating text reading in posterior cortical atrophy

    Science.gov (United States)

    Rajdev, Kishan; Shakespeare, Timothy J.; Leff, Alexander P.; Crutch, Sebastian J.

    2015-01-01

    Objective: We report (1) the quantitative investigation of text reading in posterior cortical atrophy (PCA), and (2) the effects of 2 novel software-based reading aids that result in dramatic improvements in the reading ability of patients with PCA. Methods: Reading performance, eye movements, and fixations were assessed in patients with PCA and typical Alzheimer disease and in healthy controls (experiment 1). Two reading aids (single- and double-word) were evaluated based on the notion that reducing the spatial and oculomotor demands of text reading might support reading in PCA (experiment 2). Results: Mean reading accuracy in patients with PCA was significantly worse (57%) compared with both patients with typical Alzheimer disease (98%) and healthy controls (99%); spatial aspects of passages were the primary determinants of text reading ability in PCA. Both aids led to considerable gains in reading accuracy (PCA mean reading accuracy: single-word reading aid = 96%; individual patient improvement range: 6%–270%) and self-rated measures of reading. Data suggest a greater efficiency of fixations and eye movements under the single-word reading aid in patients with PCA. Conclusions: These findings demonstrate how neurologic characterization of a neurodegenerative syndrome (PCA) and detailed cognitive analysis of an important everyday skill (reading) can combine to yield aids capable of supporting important everyday functional abilities. Classification of evidence: This study provides Class III evidence that for patients with PCA, 2 software-based reading aids (single-word and double-word) improve reading accuracy. PMID:26138948

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

    Directory of Open Access Journals (Sweden)

    Zhan Ye

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

  18. Assessing Online Textual Feedback to Support Student Intrinsic Motivation Using a Collaborative Text-Based Dialogue System: A Qualitative Study

    Science.gov (United States)

    Shroff, Ronnie H.; Deneen, Christopher

    2011-01-01

    This paper assesses textual feedback to support student intrinsic motivation using a collaborative text-based dialogue system. A research model is presented based on research into intrinsic motivation, and the specific construct of feedback provides a framework for the model. A qualitative research methodology is used to validate the model.…

  19. Gender and Autonomy-Supportive Contexts: Theoretical Perspectives of Self-Determination and Goal Setting

    Science.gov (United States)

    Lin, Shinyi; Chen, Yu-Chuan

    2013-01-01

    In integrating theoretical perspectives of self-determination and goal-setting, this study proposes a conceptual model with moderating and mediating effects exploring gender issue in autonomy-supportive learning in higher education as research context. In the proposed model, goal-setting attributes, i.e., individual determinants, social…

  20. Qualitative Features of Written Summary Texts Produced by Teachers

    Directory of Open Access Journals (Sweden)

    Hülya YAZICI OKUYAN

    2011-12-01

    Full Text Available This research aimed to find an answer to the question: "Do summary texts produced by teachers have the characteristics that a summary text is supposed to have?” Descriptive method was used in the research. The study group consisted of 55 teachers who work as Turkish Language and Literature teachers at central primary and secondary schools in Burdur. During the research, the essay “Kitap Az Yaşamayı Önler” by Çetin Altan was used as the source text and the summary texts produced by teachers were evaluated using a criteria-based and gradual analysis instrument. At the end of the study, it was determined that the teachers only managed to reach the sufficient level in terms of reconstructing the summary texts through authentic sentences and reflecting the main idea of the source text in the summary texts. However, according to the research results regarding the teachers’ competence in creating a new title for the summary texts, including the source text’s all supporting ideas and important information in the summary texts and providing the summary texts with the capacity of reflecting the source text, it has been observed that the teachers lack the required knowledge and skill

  1. 20 CFR 222.41 - Determination of relationship and support for parent.

    Science.gov (United States)

    2010-04-01

    ... 20 Employees' Benefits 1 2010-04-01 2010-04-01 false Determination of relationship and support for parent. 222.41 Section 222.41 Employees' Benefits RAILROAD RETIREMENT BOARD REGULATIONS UNDER THE RAILROAD RETIREMENT ACT FAMILY RELATIONSHIPS Relationship as Parent, Grandchild, Brother or Sister § 222.41...

  2. SparkText: Biomedical Text Mining on Big Data Framework

    Science.gov (United States)

    He, Karen Y.; Wang, Kai

    2016-01-01

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

  3. The Determination of Children's Knowledge of Global Lunar Patterns from Online Essays Using Text Mining Analysis

    Science.gov (United States)

    Cheon, Jongpil; Lee, Sangno; Smith, Walter; Song, Jaeki; Kim, Yongjin

    2013-01-01

    The purpose of this study was to use text mining analysis of early adolescents' online essays to determine their knowledge of global lunar patterns. Australian and American students in grades five to seven wrote about global lunar patterns they had discovered by sharing observations with each other via the Internet. These essays were analyzed for…

  4. How do text-messaging smoking cessation interventions confer benefit? A multiple mediation analysis of Text2Quit.

    Science.gov (United States)

    Hoeppner, Bettina B; Hoeppner, Susanne S; Abroms, Lorien C

    2017-04-01

    To determine the degree to which the observed benefit of Text2Quit was accounted for by psychosocial mechanisms derived from its quit smoking messaging versus from the use of extra-programmatic smoking cessation treatments and services. Prospective, multiple mediation model of a randomized controlled trial (RCT). United States nation-wide. A total of 409 adult daily smokers participated. Participants were, on average, 35 years of age, predominantly female (68%), white (79%), lacked a college degree (70%), had medium nicotine dependence (average Fagerström Nicotine Dependence Score score of 5.2) and more than half (62%) had made a previous quit attempt. Adult daily smokers browsing the web for smoking cessation support (n = 409; recruited 19 May2011-10 July 2012) were randomized to receive smoking cessation support via Text2Quit versus a smoking cessation material. Mediators (i.e. changes in psychosocial constructs of health behavior change, use of extra-programmatic treatment) were assessed at 1 month using single-item measures and outcome (i.e. self-reported 7-day point prevalence abstinence) at 6-month follow-up. Mediators accounted for 35% of the effect of Text2Quit on smoking cessation. Only psychosocial mechanisms had complete mediational paths, with increases in self-efficacy [b = 0.10 (0.06-0.15)], quitting know-how [b = 0.07 (0.03-0.11)] and the sense that someone cared [b = 0.06 (0.01-0.11)], partially explaining the conferred benefit of Text2Quit. Use of outside resources, including treatments promoted explicitly by Text2Quit, i.e. medication [b = 0.001 (-0.01 to 0.01), quitline [b = -0.002 (-0.01 to 0.04)], treatments and resources not promoted by Text2Quit, i.e. online forums [b = 0.01 (-0.01 to 0.04)] and self-help materials [b = -0.01 (-0.04 to 0.02)], did not have complete mediational paths. An interaction effect existed for medication use that suggested that for participants not using medication, Text2Quit conferred substantial

  5. The Relationship between Teacher Attitudes toward the Common Core State Standards and Informational Text

    Science.gov (United States)

    Estruch, Marcie Jane

    2018-01-01

    This study sought to determine the relationship between teachers' attitudes toward the Common Core State Standards and three predetermined factors. These factors were (1) teachers' attitudes toward the practicality of pedagogical shift three, balancing informational and literary texts, (2) teachers' attitudes toward school support with the…

  6. Doing Mathematics with Purpose: Mathematical Text Types

    Science.gov (United States)

    Dostal, Hannah M.; Robinson, Richard

    2018-01-01

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

  7. Social support and social network as intermediary social determinants of dental caries in adolescents.

    Science.gov (United States)

    Fontanini, Humberto; Marshman, Zoe; Vettore, Mario

    2015-04-01

    The aim of this study was to investigate the association between intermediary social determinants, namely social support and social network with dental caries in adolescents. An adapted version of the WHO social determinants of health conceptual framework was used to organize structural and intermediary social determinants of dental caries into six blocks including perceived social support and number of social networks. A cross-sectional study was conducted with a representative sample of 542 students between 12 and 14 years of age in public schools located in the city of Dourados, Brazil in 2012. The outcome variables were caries experience (DMFT ≥ 1) and current dental caries (component D of DMFT ≥ 1) recorded by a calibrated dentist. Individual interviews were performed to collect data on perceived social support and numbers of social networks from family and friends and covariates. Multivariate Poisson regressions using hierarchical models were conducted. The prevalence of adolescents with caries experience and current dental caries was 55.2% and 32.1%, respectively. Adolescents with low numbers of social networks and low levels of social support from family (PR 1.47; 95% CI = 1.01-2.14) were more likely to have DMFT ≥ 1. Current dental caries was associated with low numbers of social networks and low levels of social support from family (PR 2.26; 95% CI = 1.15-4.44). Social support and social network were influential psychosocial factors to dental caries in adolescents. This finding requires confirmation in other countries but potentially has implications for programmes to promote oral health. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  8. STRATEGIC PLANNING AS A SUPPORTING TOOL TO DETERMINE MILITARY CAPABILITIES

    Directory of Open Access Journals (Sweden)

    DAVID VILLACIS PAZOS

    2017-09-01

    Full Text Available Planning by scenarios, also called prospective, is of great value in high turbulent and volatile environments, as is today, because it permits to visualize the future from a spectrum of possibilities. That visualization is strategic information that provides a competitive edge and facilitates the identification of possible threats in each scenario and in front of those threats determines the required capacities needed. Therefore, prospective planning is an indispensable tool for decision making and determining military capacities. The scenario spectrum could consider an infinite number; however, for a strategic analysis it is basic to visualize at least three options: an optimist, a pessimist, and a tendency. To determine the military capacities, it is a required minimum to consider the traditional and non-traditional threats, as well as “foreseeable” and “feasible” capacities. The present article provides a global vision of prospective planning and its relationship with determining military capacities.

  9. Finding Text Information in the Ocean of Electronic Documents

    Energy Technology Data Exchange (ETDEWEB)

    Medvick, Patricia A.; Calapristi, Augustin J.

    2003-02-05

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

  10. Uptake of Tailored Text Message Smoking Cessation Support in Pregnancy When Advertised on the Internet (MiQuit): Observational Study.

    Science.gov (United States)

    Emery, Joanne L; Coleman, Tim; Sutton, Stephen; Cooper, Sue; Leonardi-Bee, Jo; Jones, Matthew; Naughton, Felix

    2018-04-19

    Smoking in pregnancy is a major public health concern. Pregnant smokers are particularly difficult to reach, with low uptake of support options and few effective interventions. Text message-based self-help is a promising, low-cost intervention for this population, but its real-world uptake is largely unknown. The objective of this study was to explore the uptake and cost-effectiveness of a tailored, theory-guided, text message intervention for pregnant smokers ("MiQuit") when advertised on the internet. Links to a website providing MiQuit initiation information (texting a short code) were advertised on a cost-per-click basis on 2 websites (Google Search and Facebook; £1000 budget each) and free of charge within smoking-in-pregnancy webpages on 2 noncommercial websites (National Childbirth Trust and NHS Choices). Daily budgets were capped to allow the Google and Facebook adverts to run for 1 and 3 months, respectively. We recorded the number of times adverts were shown and clicked on, the number of MiQuit initiations, the characteristics of those initiating MiQuit, and whether support was discontinued prematurely. For the commercial adverts, we calculated the cost per initiation and, using quit rates obtained from an earlier clinical trial, estimated the cost per additional quitter. With equal capped budgets, there were 812 and 1889 advert clicks to the MiQuit website from Google (search-based) and Facebook (banner) adverts, respectively. MiQuit was initiated by 5.2% (42/812) of those clicking via Google (95% CI 3.9%-6.9%) and 2.22% (42/1889) of those clicking via Facebook (95% CI 1.65%-2.99%). Adverts on noncommercial webpages generated 53 clicks over 6 months, with 9 initiations (9/53, 17%; 95% CI 9%-30%). For the commercial websites combined, mean cost per initiation was £24.73; estimated cost per additional quitter, including text delivery costs, was £735.86 (95% CI £227.66-£5223.93). Those initiating MiQuit via Google were typically very early in pregnancy

  11. Support vector machine and mel frequency Cepstral coefficient based algorithm for hand gestures and bidirectional speech to text device

    Science.gov (United States)

    Balbin, Jessie R.; Padilla, Dionis A.; Fausto, Janette C.; Vergara, Ernesto M.; Garcia, Ramon G.; Delos Angeles, Bethsedea Joy S.; Dizon, Neil John A.; Mardo, Mark Kevin N.

    2017-02-01

    This research is about translating series of hand gesture to form a word and produce its equivalent sound on how it is read and said in Filipino accent using Support Vector Machine and Mel Frequency Cepstral Coefficient analysis. The concept is to detect Filipino speech input and translate the spoken words to their text form in Filipino. This study is trying to help the Filipino deaf community to impart their thoughts through the use of hand gestures and be able to communicate to people who do not know how to read hand gestures. This also helps literate deaf to simply read the spoken words relayed to them using the Filipino speech to text system.

  12. Texte, intertexte et iconotexte dans le message publicitaire

    Directory of Open Access Journals (Sweden)

    I. C. CORJAN

    2007-12-01

    Full Text Available The paper states the fact that although the roles of the text and of the image in an advertisement are dynamic and appear in variable proportions depending on numerous criteria, they are also beautifully balanced, especially if compared from a functional point of view, determining and depending upon each other in a coherent discursive unity. Between text and image there are usually the following relations of reciprocity: support (argumentation, redundancy, paraphrase; complementarity (in-formation that is autonomous in form, but convergent in content; rhetorical amplification (meaning transfer, metaphorisation, hyperbolisation etc.; opposition (antithesis, exaggeration, non-antagonistic contradiction etc.. In general, both the verbal and the iconic develop, much to their mutual advantage, an extra meaning which the former establishes linguistically, and the latter exaggerates visually. In this case, however, the image always goes beyond the verbal information, thanks to its deep-rooted polysemy. Thus, in the special case of printed advertising, there are a few prevalent icono-textual structures, with obvious intertextual and paratextual functions: intertextuality of the writ-ten text; figurative iconic intertextuality; icono-textual intertextuality; double intertextuality: verbal-written and icono-textual. The end of the study puts forward a new formulation of the icono-text and of the typology of printed advertising included in written media and indoor/ outdoor posting.

  13. Testing of tunnel support: dynamic load testing of rock support containment systems (eg wire mesh).

    CSIR Research Space (South Africa)

    Ortlepp, WD

    1997-07-01

    Full Text Available The objective of this project was to determine the performance characteristics of containment elements of tunnel support in common use in South African mines under dynamic loading. The magnitude of the energy levels in this testing had...

  14. 20 CFR 222.43 - How the one-half support determination is made.

    Science.gov (United States)

    2010-04-01

    ... 20 Employees' Benefits 1 2010-04-01 2010-04-01 false How the one-half support determination is made. 222.43 Section 222.43 Employees' Benefits RAILROAD RETIREMENT BOARD REGULATIONS UNDER THE RAILROAD RETIREMENT ACT FAMILY RELATIONSHIPS Relationship as Parent, Grandchild, Brother or Sister § 222.43...

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

    Directory of Open Access Journals (Sweden)

    Delgado de Valencia Sonia

    2001-08-01

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

  16. Social psychological-pedagogical support of singleparent family

    Directory of Open Access Journals (Sweden)

    Ruslana Kazhuk

    2018-01-01

    Full Text Available The article deals with the definition of the concept of "incomplete family", describes the typology of single-parent families, the necessity of special social psychological and pedagogical support for children from such families and their parents has been proved. The analysis of various concepts of ―support‖has been made. The idea of psychological and pedagogical support of modern incomplete families has been determined. Key words: incomplete family, types of single-parent families, support, social support, psychological and pedagogical support of single-parent families.

  17. Prototype of Decision Support System Development in Determining Raskin Recipients Candidate

    Directory of Open Access Journals (Sweden)

    D. Desriyanti

    2017-10-01

    Full Text Available Decision-making support systems for beneficiaries deserving of the poor are a decision support system that can be used as a tool for assessing the feasibility of providing assistance. The established system only knows the rankings of the population proposals, the population data that has not been stored in the population database, the population data that has not been integrated with the data category, the criteria data, and value data so it requires the process of data input. In the process of data collection methods used are Interviews, Observation, Documentation, Literature Review while the software development methodology used is Prototype. The process of making software by using Macromedia Dreamweaver, language programming used is PHP, Javascript, HTML, and Cascading Style Sheet (CSS. This research aims 1 Make the development of decision support system in giving assistance for the poor in Cekok Ponorogo. 2 Conduct the mapping for proposed poor family and received assistance in graphic form. The conclusions of the development of decision support systems are; 1 Population data stored in the form of database that facilitate the process of searching data. 2 The Recorded of the proposed data and who received assistance for each hamlet in Kelurahan Cekok Ponorogo in the form of a graph. 3 Reduce errors in the submission the proposed data of potential beneficiaries

  18. Social and psychological determinants of participation in internet-based cancer support groups

    DEFF Research Database (Denmark)

    Høybye, Mette Terp; Dalton, Susanne Oksbjerg; Christensen, Jane

    2010-01-01

    PURPOSE: In this study, we identified the social and psychological characteristics of Danish cancer patients that determine use of the internet for support. MATERIALS AND METHODS: We invited 230 cancer patients taking part in a public rehabilitation program to participate in an internet module...... observed no difference between the two groups in quality of life or psychological well-being, while coping to some extent seemed related to participation in internet support groups. CONCLUSION: This study adds to the discussion on social inequality in internet use by cancer patients, showing that patients...... comprising training in the retrieval of cancer-related information from the internet and self-support groups. Persons who were motivated to join the internet groups (N = 100; 47%) were compared with persons who chose not to participate (N = 111) on the basis of self-reported baseline questionnaire data...

  19. Effects of Text Messaging on Academic Performance

    Directory of Open Access Journals (Sweden)

    Barks Amanda

    2011-12-01

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

  20. A quick survey of text categorization algorithms

    Directory of Open Access Journals (Sweden)

    Dan MUNTEANU

    2007-12-01

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

  1. The role of support in wrestling with cancer

    Directory of Open Access Journals (Sweden)

    Marzena Kamińska

    2014-06-01

    Full Text Available The support provided to patients with cancer is an important determinant of their sense of security and quality of life at all stages of diagnosis, treatment, rehabilitation, remission or progression of the disease. The support is complex; its nature and scope depend on the current needs of the people who receive it. The subjective dimension of the support given to oncology patients offer sample opportunities to address the psychological impact, overcoming stress, a pathy and feelings of lesser self-esteem and use less ness. The level of support very often determines the level of optimistic attitude to life of patients and influences their motivation to fight with the disease.

  2. The Motivational Outcomes of Psychological Need Support among Pre-Service Teachers: Multicultural and Self-determination Theory Perspectives

    Directory of Open Access Journals (Sweden)

    Haya Kaplan

    2017-08-01

    Full Text Available The study employed a self-determination theory (SDT framework to explore pre-service teachers’ perceptions of their professional training in relation to motivational outcomes. We hypothesized that students’ perceptions of basic psychological need support will be positively associated with their sense of relatedness, competence, and autonomous motivation and negatively associated with controlled motivation. Sense of relatedness, competence, and autonomous motivation were hypothesized to be positively associated with personal accomplishment, engagement, and self-exploration and negatively associated with emotional exhaustion. The study was conducted within a multicultural context, which enabled exploration of the hypotheses among students from two different cultural backgrounds. Based on the universality of SDT, we expected that the general models would be similar for both cultures, although some mean level and correlational paths may be different. The sample (N = 308; mean age 23.4 consisted of Muslim Arab-Bedouin (55.3% and Jewish (44.7% pre-service teachers enrolled in the same teachers’ college in Israel. The participants completed self-report surveys assessing their sense of basic psychological need support, autonomous and controlled motivation, self-accomplishment, engagement, self-exploration, and emotional exhaustion. Multiple-group structural equation modeling revealed that need support contributed positively to autonomous motivation, sense of relatedness, and sense of competence in both cultures. Autonomous motivation contributed positively to sense of self-accomplishment, engagement, and self-exploration. Competence in turn was positively related to engagement and negatively related to emotional exhaustion, and relatedness was associated with engagement only among the Bedouin students, and with self-accomplishment only among the Jewish students. These results indicate that sense of need support is highly important regardless

  3. Supporting the education evidence portal via text mining

    Science.gov (United States)

    Ananiadou, Sophia; Thompson, Paul; Thomas, James; Mu, Tingting; Oliver, Sandy; Rickinson, Mark; Sasaki, Yutaka; Weissenbacher, Davy; McNaught, John

    2010-01-01

    The UK Education Evidence Portal (eep) provides a single, searchable, point of access to the contents of the websites of 33 organizations relating to education, with the aim of revolutionizing work practices for the education community. Use of the portal alleviates the need to spend time searching multiple resources to find relevant information. However, the combined content of the websites of interest is still very large (over 500 000 documents and growing). This means that searches using the portal can produce very large numbers of hits. As users often have limited time, they would benefit from enhanced methods of performing searches and viewing results, allowing them to drill down to information of interest more efficiently, without having to sift through potentially long lists of irrelevant documents. The Joint Information Systems Committee (JISC)-funded ASSIST project has produced a prototype web interface to demonstrate the applicability of integrating a number of text-mining tools and methods into the eep, to facilitate an enhanced searching, browsing and document-viewing experience. New features include automatic classification of documents according to a taxonomy, automatic clustering of search results according to similar document content, and automatic identification and highlighting of key terms within documents. PMID:20643679

  4. A text-based data mining and toxicity prediction modeling system for a clinical decision support in radiation oncology: A preliminary study

    Science.gov (United States)

    Kim, Kwang Hyeon; Lee, Suk; Shim, Jang Bo; Chang, Kyung Hwan; Yang, Dae Sik; Yoon, Won Sup; Park, Young Je; Kim, Chul Yong; Cao, Yuan Jie

    2017-08-01

    The aim of this study is an integrated research for text-based data mining and toxicity prediction modeling system for clinical decision support system based on big data in radiation oncology as a preliminary research. The structured and unstructured data were prepared by treatment plans and the unstructured data were extracted by dose-volume data image pattern recognition of prostate cancer for research articles crawling through the internet. We modeled an artificial neural network to build a predictor model system for toxicity prediction of organs at risk. We used a text-based data mining approach to build the artificial neural network model for bladder and rectum complication predictions. The pattern recognition method was used to mine the unstructured toxicity data for dose-volume at the detection accuracy of 97.9%. The confusion matrix and training model of the neural network were achieved with 50 modeled plans (n = 50) for validation. The toxicity level was analyzed and the risk factors for 25% bladder, 50% bladder, 20% rectum, and 50% rectum were calculated by the artificial neural network algorithm. As a result, 32 plans could cause complication but 18 plans were designed as non-complication among 50 modeled plans. We integrated data mining and a toxicity modeling method for toxicity prediction using prostate cancer cases. It is shown that a preprocessing analysis using text-based data mining and prediction modeling can be expanded to personalized patient treatment decision support based on big data.

  5. Determination of the Factors Affecting The Use of the Support Program of the Enterprises Benefiting from the Rural Development Investments Program in the Western Mediterranean Region

    Directory of Open Access Journals (Sweden)

    Yavuz Taşcıoğlu

    2017-07-01

    Full Text Available With industrialization, change has taken place in the world and development efforts have concentrated in urban areas. This has affected the rural area negatively and the increase in rural development studies has increased with the emergence of interregional economic imbalances. With the planned period, rural development studies in Turkey have increased and strategies, projects and programs have begun to be developed. One of these activities is the Rural Development Investment Support Program (RDISP, which entered into force in 2006. The aim of the program is to increase the level of rural area income, to ensure integration of agricultural production and agricultural industry, to strengthen food safety, to create alternative income sources in the rural area. In this study, it was aimed to determine the attitudes and behaviors of program beneficiaries in the Western Mediterranean Region within the framework of the RDISP applied in Turkey, and the factors affecting their utilization from the program. In the study, a total of 96 enterprises provided interviews based on face to face interviews. In this study, Factor Analysis was applied to determine the factors that affect the preferences of the enterprises and to determine the factors affecting the investments of the enterprises. In the study, 12 variables that were effective in factor analysis in the utilization of this support were combined into 3 factors. These factors have been found to be “support for local support and information about support”, “employment support for support” and “environmental sensitivity for support”.

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

    Directory of Open Access Journals (Sweden)

    Ahmad Amin Dalimunte, M.Hum

    2013-09-01

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

  7. U.S. Army Engineering and Support Center, Huntsville, Price Reasonableness Determinations for Federal Supply Schedule Orders for Supplies Need Improvement

    Science.gov (United States)

    2016-03-29

    Army Engineering and Support Center, Huntsville, Price Reasonableness Determinations for Federal Supply Schedule Orders for Supplies Need...0207.000) │ i Results in Brief U.S. Army Engineering and Support Center, Huntsville, Price Reasonableness Determinations for Federal Supply Schedule...officers made determinations of fair and reasonable pricing for General Services Administration Federal supply schedule orders awarded for purchases

  8. Organizational Creativity and IT-based Support

    Directory of Open Access Journals (Sweden)

    Celina M. Olszak

    2016-05-01

    Full Text Available The main aim of this paper is to provide a theoretically and empirically grounded discussion on IT-based organizational creativity support. This study attempts to answer the following questions: (1 what is the issue of organizational creativity and its IT-based support, (2 what is the demand for IT –based organizational creativity support; (3 what are the main determinants and barriers to IT-based organizational creativity support; and (4 what success factors are crucial for IT-based organizational creativity support. This paper presents the analysis results of a survey conducted in 25 selected organizations. The paper provides valuable information on the possibilities of IT applications in organizational creativity support as well as the associated success factors. It makes useful contribution to our better understanding of IT-based organizational creativity support issues.

  9. Flight dynamics facility operational orbit determination support for the ocean topography experiment

    Science.gov (United States)

    Bolvin, D. T.; Schanzle, A. F.; Samii, M. V.; Doll, C. E.

    1991-01-01

    The Ocean Topography Experiment (TOPEX/POSEIDON) mission is designed to determine the topography of the Earth's sea surface across a 3 yr period, beginning with launch in June 1992. The Goddard Space Flight Center Dynamics Facility has the capability to operationally receive and process Tracking and Data Relay Satellite System (TDRSS) tracking data. Because these data will be used to support orbit determination (OD) aspects of the TOPEX mission, the Dynamics Facility was designated to perform TOPEX operational OD. The scientific data require stringent OD accuracy in navigating the TOPEX spacecraft. The OD accuracy requirements fall into two categories: (1) on orbit free flight; and (2) maneuver. The maneuver OD accuracy requirements are of two types; premaneuver planning and postmaneuver evaluation. Analysis using the Orbit Determination Error Analysis System (ODEAS) covariance software has shown that, during the first postlaunch mission phase of the TOPEX mission, some postmaneuver evaluation OD accuracy requirements cannot be met. ODEAS results also show that the most difficult requirements to meet are those that determine the change in the components of velocity for postmaneuver evaluation.

  10. Computer Support of Semantic Text Analysis of a Technical Specification on Designing Software

    OpenAIRE

    Zaboleeva-Zotova, Alla; Orlova, Yulia

    2009-01-01

    The given work is devoted to development of the computer-aided system of semantic text analysis of a technical specification. The purpose of this work is to increase efficiency of software engineering based on automation of semantic text analysis of a technical specification. In work it is offered and investigated a technique of the text analysis of a technical specification is submitted, the expanded fuzzy attribute grammar of a technical specification, intended for formaliza...

  11. Benchmarking infrastructure for mutation text mining.

    Science.gov (United States)

    Klein, Artjom; Riazanov, Alexandre; Hindle, Matthew M; Baker, Christopher Jo

    2014-02-25

    Experimental research on the automatic extraction of information about mutations from texts is greatly hindered by the lack of consensus evaluation infrastructure for the testing and benchmarking of mutation text mining systems. We propose a community-oriented annotation and benchmarking infrastructure to support development, testing, benchmarking, and comparison of mutation text mining systems. The design is based on semantic standards, where RDF is used to represent annotations, an OWL ontology provides an extensible schema for the data and SPARQL is used to compute various performance metrics, so that in many cases no programming is needed to analyze results from a text mining system. While large benchmark corpora for biological entity and relation extraction are focused mostly on genes, proteins, diseases, and species, our benchmarking infrastructure fills the gap for mutation information. The core infrastructure comprises (1) an ontology for modelling annotations, (2) SPARQL queries for computing performance metrics, and (3) a sizeable collection of manually curated documents, that can support mutation grounding and mutation impact extraction experiments. We have developed the principal infrastructure for the benchmarking of mutation text mining tasks. The use of RDF and OWL as the representation for corpora ensures extensibility. The infrastructure is suitable for out-of-the-box use in several important scenarios and is ready, in its current state, for initial community adoption.

  12. Benchmarking infrastructure for mutation text mining

    Science.gov (United States)

    2014-01-01

    Background Experimental research on the automatic extraction of information about mutations from texts is greatly hindered by the lack of consensus evaluation infrastructure for the testing and benchmarking of mutation text mining systems. Results We propose a community-oriented annotation and benchmarking infrastructure to support development, testing, benchmarking, and comparison of mutation text mining systems. The design is based on semantic standards, where RDF is used to represent annotations, an OWL ontology provides an extensible schema for the data and SPARQL is used to compute various performance metrics, so that in many cases no programming is needed to analyze results from a text mining system. While large benchmark corpora for biological entity and relation extraction are focused mostly on genes, proteins, diseases, and species, our benchmarking infrastructure fills the gap for mutation information. The core infrastructure comprises (1) an ontology for modelling annotations, (2) SPARQL queries for computing performance metrics, and (3) a sizeable collection of manually curated documents, that can support mutation grounding and mutation impact extraction experiments. Conclusion We have developed the principal infrastructure for the benchmarking of mutation text mining tasks. The use of RDF and OWL as the representation for corpora ensures extensibility. The infrastructure is suitable for out-of-the-box use in several important scenarios and is ready, in its current state, for initial community adoption. PMID:24568600

  13. Decision Support System for Determining Scholarship Selection using an Analytical Hierarchy Process

    Science.gov (United States)

    Puspitasari, T. D.; Sari, E. O.; Destarianto, P.; Riskiawan, H. Y.

    2018-01-01

    Decision Support System is a computer program application that analyzes data and presents it so that users can make decision more easily. Determining Scholarship Selection study case in Senior High School in east Java wasn’t easy. It needed application to solve the problem, to improve the accuracy of targets for prospective beneficiaries of poor students and to speed up the screening process. This research will build system uses the method of Analytical Hierarchy Process (AHP) is a method that solves a complex and unstructured problem into its group, organizes the groups into a hierarchical order, inputs numerical values instead of human perception in comparing relative and ultimately with a synthesis determined elements that have the highest priority. The accuracy system for this research is 90%.

  14. The influence of social support on cognitive impairment in the elderly

    Directory of Open Access Journals (Sweden)

    Abdul Rashid

    2016-08-01

    Full Text Available To determine the influence of social support on cognitive impairment among elderly Malaysians. Methods This cross sectional study was conducted using a representative sample for Penang, Malaysia. The Elderly Cognitive Assessment Questionnaire (ECAQ was used to screen for cognitive impairment and Oslo-3 Social Support Scale (OSS-3 was used to measure social support.

  15. Carbon monoxide adsorption studies on Ru:Mn bimetallic catalysts supported on alumina, silica and titania supported for the determination of metal surface area overview

    International Nuclear Information System (INIS)

    Hussain, S.T.

    1992-01-01

    Supported Ru: Mn bimetallic samples were studied using CO-chemisorption on alumina, silica and titania supports for the determination of active metal site/metal surface area. The data indicates the presence of Mn on the surface of Ru. With the increase of Mn loadings a decrease in the CO adsorption occurred indicating that presence of Mn masks the active sites responsible for Co-adsorption. On the titania supported system reduced at high and low temperature the CO-chemisorption data suggest the unusual behaviour. This behaviour is possibly caused due to creation of new active surface sites. (author)

  16. A behavioral economic analysis of texting while driving: Delay discounting processes.

    Science.gov (United States)

    Hayashi, Yusuke; Miller, Kimberly; Foreman, Anne M; Wirth, Oliver

    2016-12-01

    The purpose of the present study was to examine an impulsive decision-making process underlying texting while driving from a behavioral economic perspective. A sample of 108 college students completed a novel discounting task that presented participants with a hypothetical scenario in which, after receiving a text message while driving, they rated the likelihood of replying to a text message immediately versus waiting to reply for a specific period of time. Participants also completed a delay discounting task in which they made repeated hypothetical choices between obtaining a larger amount of money available after a delay and an equal or lesser amount of money available immediately. The results show that the duration of the delay is a critical variable that strongly determines whether participants choose to wait to reply to a text message, and that the decrease in the likelihood of waiting as a function of delay is best described by a hyperbolic delay discounting function. The results also show that participants who self-reported higher frequency of texting while driving discounted the opportunity to reply to a text message at greater rates, whereas there was no relation between the rates of discounting of hypothetical monetary rewards and the frequency of texting while driving. The results support the conclusion that texting while driving is fundamentally an impulsive choice. Copyright © 2016 Elsevier Ltd. All rights reserved.

  17. Linguistic Dating of Biblical Texts

    DEFF Research Database (Denmark)

    Ehrensvärd, Martin Gustaf

    2003-01-01

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

  18. Factors Determining the Size of Sealing Clearance in Hydraulic Legs of Powered Supports

    Directory of Open Access Journals (Sweden)

    Buyalich Gennady

    2017-01-01

    Full Text Available The factors that directly influence the formation of a sealing clearance between the piston and the working cylinder in hydraulic legs of powered supports are considered in this article, the size thereof has a direct effect on the tightness of the legs and, as a result, on the safety of work at the production face. A detailed description of these factors is given, which is supported by the dependencies obtained from the results of finite element modeling of various types of legs under various strength and geometric parameters, external load types and locations in the support section. The problems of formation of radial deformations of a working cylinder loaded with working fluid pressure are considered, and their dependence on the level of this pressure and extension. Based on the simulation results, the mechanisms for the formation of additional clearances due to rod and cylinder misalignments are described, and the conditions and causes of the resonant phenomena development are given. The classification of these factors according to the degree of generalization and the functional interaction between each other is proposed.

  19. Supportive text messages for patients with alcohol use disorder and a comorbid depression: a protocol for a single-blind randomised controlled aftercare trial.

    Science.gov (United States)

    Hartnett, Dan; Murphy, Edel; Kehoe, Elizabeth; Agyapong, Vincent; McLoughlin, Declan M; Farren, Conor

    2017-05-29

    Alcohol use disorders (AUDs) and mood disorders commonly co-occur, and are associated with a range of negative outcomes for patients. Mobile phone technology has the potential to provide personalised support for such patients and potentially improve outcomes in this difficult-to-treat cohort. The aim of this study is to examine whether receiving supporting SMS text messages, following discharge from an inpatient dual diagnosis treatment programme, has a positive impact on mood and alcohol abstinence in patients with an AUD and a comorbid mood disorder. The present study is a single-blind randomised controlled trial. Patients aged 18-70 years who meet the criteria for both alcohol dependency syndrome/alcohol abuse and either major depressive disorder or bipolar disorder according to the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders IV Axis I will be randomised to receive twice-daily supportive SMS text messages for 6 months plus treatment as usual, or treatment as usual alone, and will be followed-up at 3, 6, 9 and 12 months postdischarge. Primary outcome measures will include changes from baseline in cumulative abstinence duration, which will be expressed as the proportion of days abstinent from alcohol in the preceding 90 days, and changes from baseline in Beck Depression Inventory scores. The trial has received full ethical approval from the St. Patrick's Hospital Research Ethics Committee (protocol 13/14). Results of the trial will be disseminated through peer-reviewed journal articles and at academic conferences. NCT02404662; Pre-results. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

  20. Beyond Readability: Investigating Coherence of Clinical Text for Consumers

    Science.gov (United States)

    Hetzel, Scott; Dalrymple, Prudence; Keselman, Alla

    2011-01-01

    Background A basic tenet of consumer health informatics is that understandable health resources empower the public. Text comprehension holds great promise for helping to characterize consumer problems in understanding health texts. The need for efficient ways to assess consumer-oriented health texts and the availability of computationally supported tools led us to explore the effect of various text characteristics on readers’ understanding of health texts, as well as to develop novel approaches to assessing these characteristics. Objective The goal of this study was to compare the impact of two different approaches to enhancing readability, and three interventions, on individuals’ comprehension of short, complex passages of health text. Methods Participants were 80 university staff, faculty, or students. Each participant was asked to “retell” the content of two health texts: one a clinical trial in the domain of diabetes mellitus, and the other typical Visit Notes. These texts were transformed for the intervention arms of the study. Two interventions provided terminology support via (1) standard dictionary or (2) contextualized vocabulary definitions. The third intervention provided coherence improvement. We assessed participants’ comprehension of the clinical texts through propositional analysis, an open-ended questionnaire, and analysis of the number of errors made. Results For the clinical trial text, the effect of text condition was not significant in any of the comparisons, suggesting no differences in recall, despite the varying levels of support (P = .84). For the Visit Note, however, the difference in the median total propositions recalled between the Coherent and the (Original + Dictionary) conditions was significant (P = .04). This suggests that participants in the Coherent condition recalled more of the original Visit Notes content than did participants in the Original and the Dictionary conditions combined. However, no difference was seen

  1. Research on Classification of Chinese Text Data Based on SVM

    Science.gov (United States)

    Lin, Yuan; Yu, Hongzhi; Wan, Fucheng; Xu, Tao

    2017-09-01

    Data Mining has important application value in today’s industry and academia. Text classification is a very important technology in data mining. At present, there are many mature algorithms for text classification. KNN, NB, AB, SVM, decision tree and other classification methods all show good classification performance. Support Vector Machine’ (SVM) classification method is a good classifier in machine learning research. This paper will study the classification effect based on the SVM method in the Chinese text data, and use the support vector machine method in the chinese text to achieve the classify chinese text, and to able to combination of academia and practical application.

  2. STRUCTURE RATIONALIZATION OF TANK CARS SUPPORT DEVICES FOR FLUIDS

    Directory of Open Access Journals (Sweden)

    M. V. Pavliuchenkov

    2014-01-01

    Full Text Available Purpose. Improvement of fluid tank cars structure due to development of new tank bracket support structures and their materials consumption decrease. Methodology. The investigations to search the optimal design of the support structure were conducted in order to solve such problem. At the first stage patent and bibliographic analysis of technical solutions was done, the advantages and disadvantages were revealed and new design options were proposed, the most efficient design was determined. The next step is objective function making for determining its optimal parameters, imposition of restrictions, acquisition of objective function approximation and restrictions in the form of polynomials. At the third stage numerical implementation of function optimization was proposed, optimal design parameters were determined with graphical method. Results methods have coincided. Findings. The most efficient design of support structure was determined; its optimum geometrical dimensions were described. Originality. The author provides the mathematical formulation of optimal design of tank car supports using the minimum materials consumption criteria. The graphic and numerical methods were used during the investigations. Practical value. The author proposed the finite-element models of tank car with different design execution of bracket support structures, which allow estimating the VAT of structure.

  3. SUPPORTING FAMILIES IN CORRECTING DYSLALIA IN CHILDREN

    OpenAIRE

    Siedlaczek-Szwed, Aleksandra; Jałowiecka-Frania, Agata

    2017-01-01

    The text deals with issues related to the effective support of speech and language therapy for children with dyslalia. The effectiveness of speech and language stimulation is determined by a wide range of determinants. Individual predispositions, influences of educational environments, personality, professionalism, the scope of speech and language therapists’ knowledge and abilities as well as a variety of methods used by them play an essential role. Dyslalia, which is one of the most frequen...

  4. Parental support and adolescent motivation for dieting: the Self-Determination Theory perspective.

    Science.gov (United States)

    Katz, Idit; Madjar, Nir; Harari, Adi

    2015-01-01

    This article focuses on parents' role in overweight adolescents' motivation to diet and successful weight loss. The study employed Self-Determination Theory (SDT) as the theoretical framework (Deci & Ryan, 2000, 2011). Ninety-nine participants (ages 20-30) who had been overweight during adolescence according to their Body Mass Index (BMI mean = 25, SD = 1.6), completed retrospective questionnaires about their motivation to diet and their parents' behavior in the context of dieting. Findings from a structural equation modeling analysis suggested that participants who viewed their parents' as more need-supportive demonstrated more autonomous motivation to diet, which, in turn, contributed to their successful weight loss. The findings highlight the importance of parental support of adolescents' psychological needs in the quality of their motivation to diet. This is an important insight for parents and professionals who aim to encourage more constructive parent involvement in adolescents' dieting and well-being.

  5. Determine the effect of repeated dynamic loading on the performance of tunnel support systems

    CSIR Research Space (South Africa)

    Güler, G

    2001-03-01

    Full Text Available mechanisms of smooth and re-bars.............................................27 Figure 3.13. Deformation curve of the wire cable...........................................................28 Figure 3.14. Failure mechanisms of wire cable... condition adjacent to position 3..............48 Figure 5.10. Overall stability of hangingwall in the vicinity of position 3................48 Figure 5.11. Wire mesh, rope lacing and shotcrete integrated support. ..................49 Figure 5.12. Pre-tensioned...

  6. Comparing tailored and untailored text messages for smoking cessation

    DEFF Research Database (Denmark)

    Skov-Ettrup, L S; Ringgaard, L W; Dalum, P

    2014-01-01

    The aim was to compare the effectiveness of untailored text messages for smoking cessation to tailored text messages delivered at a higher frequency. From February 2007 to August 2009, 2030 users of an internet-based smoking cessation program with optional text message support aged 15-25 years were...... of text messages increases quit rates among young smokers....

  7. Short Message Service (SMS) Texting Symbols: A Functional Analysis of 10,000 Cellular Phone Text Messages

    Science.gov (United States)

    Beasley, Robert E.

    2009-01-01

    The purpose of this study was to investigate the use of symbolic expressions (e.g., "BTW," "LOL," "UR") in an SMS text messaging corpus consisting of over 10,000 text messages. More specifically, the purpose was to determine, not only how frequently these symbolic expressions are used, but how they are utilized in terms of the language functions…

  8. Development of Decision-making Support System to Determine the Feasibility of the Job Training Industry Using Simple Additive Weighting Method

    Directory of Open Access Journals (Sweden)

    Kaisah Riski Zubaeti

    2017-10-01

    Full Text Available The activities of the job training is an activity that must be implemented at Vocational Secondary School. The lack of utilization of technology on such activities in Vocational Secondary School,  so the data management of the job training become less effective and efficient. Therefore, it is necessary the information system for manage the data on the job training and produces the decision support of the decent industry of the job training as a result of the evaluation of the job training. This research has a goal to produce decision support system to determine the feasibility of the job training industry (SPK-KTP, measure the feasibility of the system, and produce a decision support using a Simple Additive Weighting (SAW method. The information system can help the school to manage the administration on the job training, recap the daily journal, recap the reports in pursuit, and provide decision support the job training of decent industry used in the next period. SPK-KTP uses SAW method to produce decision support the job training of decent industry. SPK-KTP is the web-based information system which it is developed using the programming language PHP (Hypertext Preprocessor. This information system uses The Waterfall Model as its system development method. The steps of The Waterfall Model consists of Analysis, Design, Code, and Test. SPK-KTP has done testing to an expert of the information system with value 90,7%, an expert of the substance of the job training with value  91,6%, supervising teachers with value 83,3%, and learners with value 90,6%. Based on the result, so SPK-KTP is very decent to use.

  9. Support Vector Data Description Model to Map Specific Land Cover with Optimal Parameters Determined from a Window-Based Validation Set

    Directory of Open Access Journals (Sweden)

    Jinshui Zhang

    2017-04-01

    Full Text Available This paper developed an approach, the window-based validation set for support vector data description (WVS-SVDD, to determine optimal parameters for support vector data description (SVDD model to map specific land cover by integrating training and window-based validation sets. Compared to the conventional approach where the validation set included target and outlier pixels selected visually and randomly, the validation set derived from WVS-SVDD constructed a tightened hypersphere because of the compact constraint by the outlier pixels which were located neighboring to the target class in the spectral feature space. The overall accuracies for wheat and bare land achieved were as high as 89.25% and 83.65%, respectively. However, target class was underestimated because the validation set covers only a small fraction of the heterogeneous spectra of the target class. The different window sizes were then tested to acquire more wheat pixels for validation set. The results showed that classification accuracy increased with the increasing window size and the overall accuracies were higher than 88% at all window size scales. Moreover, WVS-SVDD showed much less sensitivity to the untrained classes than the multi-class support vector machine (SVM method. Therefore, the developed method showed its merits using the optimal parameters, tradeoff coefficient (C and kernel width (s, in mapping homogeneous specific land cover.

  10. Application of an Activated Carbon-Based Support for Magnetic Solid Phase Extraction Followed by Spectrophotometric Determination of Tartrazine in Commercial Beverages

    Directory of Open Access Journals (Sweden)

    José A. Rodríguez

    2015-01-01

    Full Text Available A method is presented for magnetic solid phase extraction of tartrazine from nonalcoholic beverages. The method involves the extraction and clean-up by activated carbon covered with magnetite dispersed in the sample, followed by the magnetic isolation and desorption of the analyte by basified methanol. The tartrazine eluted from the magnetic support was determined by spectrophotometry. Under optimal conditions, the linear range of the calibration curve ranges from 3 to 30 mg L−1, with a limit of detection of 1 mg L−1. The method was validated by comparing the results with those obtained by HPLC. A precision of <5.0% was obtained in all cases and no significant differences were observed (P<0.05.

  11. Text mining for biology--the way forward

    DEFF Research Database (Denmark)

    Altman, Russ B; Bergman, Casey M; Blake, Judith

    2008-01-01

    This article collects opinions from leading scientists about how text mining can provide better access to the biological literature, how the scientific community can help with this process, what the next steps are, and what role future BioCreative evaluations can play. The responses identify...... several broad themes, including the possibility of fusing literature and biological databases through text mining; the need for user interfaces tailored to different classes of users and supporting community-based annotation; the importance of scaling text mining technology and inserting it into larger...

  12. Determining and Analyzing Public Support for Gifted Education.

    Science.gov (United States)

    Karnes, Frances A.; Riley, Tracy L.

    1997-01-01

    Statewide support for gifted education was assessed through a public opinion telephone survey with 400 respondents in one state. Results indicated general support for specialized programs, except residential schools, for gifted children. Appropriate public relations strategies utilizing such survey results are suggested. (DB)

  13. 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

  14. A Mixed-Methods Study on the Impact of Socratic Seminars on Eighth Grade Students' Comprehension of Science Texts

    Science.gov (United States)

    Roncke, Nancy

    This formative, convergent-mixed methods research study investigated the impact of Socratic Seminars on eighth grade science students' independent comprehension of science texts. The study also highlighted how eighth grade students of varying reading abilities interacted with and comprehended science texts differently during and after the use of Socratic Seminars. In order to document any changes in the students' overall comprehension of science texts, this study compared the experimental and control groups' pre- and post-test performances on the Content Area Reading Assessment (Leslie & Caldwell, 2014) and self-perception surveys on students' scientific reading engagement. Student think-alouds and interviews also captured the students' evolving understandings of the science texts. At the conclusion of this sixteen-week study, the achievement gap between the experimental and control group was closed in five of the seven categories on the Content Area Reading Assessment, including supporting an inference with textual evidence, determining central ideas, explaining why or how, determining word meaning, and summarizing a science text. Students' self-perception surveys were more positive regarding reading science texts after the Socratic Seminars. Finally, the student think-alouds revealed that some students moved from a literal interpretation of the science texts to inquiries that questioned the text and world events.

  15. Determination of the surface area and sizes of supported copper nanoparticles through organothiol adsorption—ñhemisorption

    Energy Technology Data Exchange (ETDEWEB)

    Ndolomingo, Matumuene Joe; Meijboom, Reinout, E-mail: rmeijboom@uj.ac.za

    2016-12-30

    Highlights: • Cu on γ-Al{sub 2}O{sub 3} catalysts were prepared and characterized. • The ligand sorption-based technique was used for the determination of specific surface area and particle sizes. • The ligand packing density on Cu nanoparticles was quantified. • A fair agreement was found between the Cu particle sizes obtained from ligand adsorption and TEM methods. • The oxidation of morin by hydrogen peroxide was used to evaluate the catalytic activities of the Cu supported catalysts. - Abstract: The mechanisms involving the nanoparticle surfaces in catalytic reactions are more difficult to elucidate due to the nanoparticle surface unevenness, size distributions, and morphological irregularity. True surface area and particle sizes determination are key aspects of the activity of metal nanoparticle catalysts. Here we report on the organothiol adsorption-based technique for the determination of specific surface area of Cu nanoparticles, and their resultant sizes on γ-Al{sub 2}O{sub 3} supports. Quantification of ligand packing density on copper nanoparticles is also reported. The concentration of the probe ligand, 2-mercaptobenzimidazole (2-MBI) before and after immersion of supported copper catalysts was determined by ultraviolet-visible spectrometry (UV–vis). The amount of ligand adsorbed was found to be proportional to the copper nanoparticles surface area. Atomic absorption spectrometry (AAS), N{sub 2}-physisorption (BET), transmission electron microscopy (TEM), scanning electron microscopy (SEM) and thermogravimetric analysis (TGA) were used for the characterization of the catalysts. A fair agreement was found between particle sizes obtained from ligand adsorption and TEM methods. The catalytic activity of the copper nanoparticles related to their inherent surface area was evaluated using the model reaction of the oxidation of morin by hydrogen peroxide.

  16. Deeper than Blueberries: A Reciprocal Teaching Method Approach to Narrative Text in an Electronically Supported Learning Environment.

    Science.gov (United States)

    Pisha, Bart; Brady, Mary

    This paper describes a five-phase, 20-week, computer supported reading comprehension instruction process, which begins with access to powerful supports and direct teacher-mediated instruction. The process involves five phases: (1) fully supported reading and strategy instruction; (2) strategy practice in a fully supported reading environment with…

  17. Psychosocial support and parents' social life determine the self-esteem of orphan children

    Directory of Open Access Journals (Sweden)

    Erango MA

    2015-10-01

    Full Text Available Markos Abiso Erango,1 Zikie Ataro Ayka2 1School of Mathematical and Statistical Sciences, Department of Applied Statistics, Hawassa University, Hawassa, 2Department of Biology, Arba Minch University, Arba Minch, Ethiopia Abstract: Parental death affects the life of children in many ways, one of which is self-esteem problems. Providing psychosocial support and equipping orphans play a vital role in their lifes. A cross-sectional study was conducted on 7–18-year-old orphans at 17 local districts of Gamo Gofa Zone, Southern Regional State of Ethiopia. From a total of 48,270 orphans in these areas, 4,368 were selected using stratified simple random sampling technique. Data were collected with a designed questionnaire based on the Rosenberg's rating scale to measure their self-esteem levels. Self-esteem with a score less than or equal to an average score was considered to be low self-esteem in the analysis. Binary logistic regression model was used to analyze the data using the SPSS software. The results of the study revealed that the probability of orphans suffering from low self-esteem was 0.59. Several risk factors were found to be significant at the level of 5%. Psychosocial support (good guidance, counseling and treatment, physical protection and amount of love shared, financial and material support, and fellowship with other children, parents living together before death, strong relationship between parents before death, high average monthly income, voluntary support, and consideration from the society are some of the factors that decrease the risk of being low in self-esteem. There are many orphans with low self-esteem in the study areas. The factors negatively affecting the self-esteem of orphans include the lack of psychosocial support, poor social life of parents, and death of parents due to AIDS. Society and parents should be aware of the consequences of these factors which can influence their children's future self

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

    Science.gov (United States)

    Davies, Florence; Greene, Terry

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

  19. Maternal and paternal beliefs, support and parenting as determinants of sport participation of adolescents with asthma

    NARCIS (Netherlands)

    Tiggelman, D.; Ven, M.O.M. van de; Schayck, C.P. van; Engels, R.C.M.E.; Sluijs, E.M.F. van

    2015-01-01

    RATIONALE: Few studies have examined determinants of physical activity in patients with chronic illnesses, like asthma. The aim of this study was to examine whether baseline maternal and paternal beliefs, support and parenting were associated with changes in sport participation of adolescents with

  20. Twelve tips to stimulate intrinsic motivation in students through autonomy-supportive classroom teaching derived from self-determination theory.

    Science.gov (United States)

    Kusurkar, R A; Croiset, G; Ten Cate, Th J

    2011-01-01

    Self-determination theory (SDT) of motivations distinguishes between intrinsic and extrinsic motivations. Intrinsic motivation is observed when one engages in an activity out of genuine interest and is truly self-determined. Intrinsic motivation is the desired type of motivation for study as it is associated with deep learning, better performance and positive well-being in comparison to extrinsic motivation. It is dependent on the fulfilment of three basic psychological needs described by SDT. These are the needs for autonomy, competence and relatedness. According to SDT, autonomy-supportive teaching is important, because it makes students feel autonomous and competent in their learning and also supported (relatedness) by their teachers. The concept of autonomy-supportive teaching is relevant to medical education, but less known. Through this article, we aim to make this concept understood and practically used by medical teachers. We used SDT literature as a basis to formulate these 12 tips. We present 12 practical tips derived from SDT, for teachers in health professions, on how to engage in autonomy-supportive teaching behaviours in order to stimulate intrinsic motivation in their students. These tips demonstrate that it is not difficult to engage in autonomy-supportive teaching behaviour. It can be learned through practice and self-reflection on teaching practices.

  1. Transduced for determining if steam generator tubes are locked in at support plate

    International Nuclear Information System (INIS)

    Hayes, J.K.

    1984-01-01

    A nuclear steam generator is described which includes a vessel, means to introduce vaporizable fluid into the bottom portion of the vessel, an outlet near the top through which vapor is discharged, a horizontal tube sheet extending across the vessel, a plurality of U-shaped tubes, having each end secured to and extending through the tube sheet, means for introducing heating fluid to one end of each of the U-shaped tubes, means for removing heating fluid from the other end of each of the U-shaped tubes, tube support means positioned within the vessel for preventing tube vibration, the tube support means including horizontally positioned means closely surrounding, but slightly spaced from each tube, means through which access can be had to the vessel interior beneath the tube sheet when the steam generator is not in operation, and testing means for determining whether or not a tube is locked into a tube support means including a longitudinal member, with a first end located inside the tube to be tested, and a second end located outside of the tube, means for securing the first end of the member to the inside of the tube, means for heating a length of the longitudinal member, and an equal length of the tube, to an elevated temperature, and means for indicating movement of the second end of the longitudinal member away from the tube end, which would indicate that the tube is locked into the support means

  2. Text-Speak: Its Influence on the English Spelling Skills

    OpenAIRE

    Nancy A. Arellano; Raymund B. Gemora

    2015-01-01

    This study aimed to determine the perceived influence of texting on the English spelling skills of the Teacher Education students of the West Visayas State University – Janiuay Campus (WVSU-JC). It likewise aimed to determine the significant differences on the influence of texting on the English spelling skills of the students when they were grouped as to sex, course and year level and to ascertain the significant relationship between the students’ perceived influence of texting and their per...

  3. Foundational Tests of the Need-Support Model: A Framework for Bridging Regulatory Focus Theory and Self-Determination Theory.

    Science.gov (United States)

    Vaughn, Leigh Ann

    2017-03-01

    This article introduces the need-support model, which proposes that regulatory focus can affect subjective support for the needs proposed by self-determination theory (autonomy, competence, and relatedness), and support of these needs can affect subjective labeling of experiences as promotion-focused and prevention-focused. Three studies tested these hypotheses ( N = 2,114). Study 1 found that people recall more need support in promotion-focused experiences than in prevention-focused experiences, and need support in their day yesterday (with no particular regulatory focus) fell in between. Study 2 found that experiences of higher need support were more likely to be labeled as promotion-focused rather than prevention-focused, and that each need accounted for distinct variance in the labeling of experiences. Study 3 varied regulatory focus within a performance task and found that participants in the promotion condition engaged in need-support inflation, whereas participants in the prevention condition engaged in need-support deflation. Directions for future research are discussed.

  4. How Preservice Teachers Make Meaning of Mathematics Methods Texts

    Science.gov (United States)

    Harkness, Shelly Sheats; Brass, Amy

    2017-01-01

    Mathematics methods texts are important resources for supporting preservice teachers' learning. Methods instructors routinely assign readings from texts. Yet, anecdotally and also based on reading compliance literature, many students report that they do not read assigned readings. Within this paper we briefly describe the findings from a survey of…

  5. MeSHmap: a text mining tool for MEDLINE.

    OpenAIRE

    Srinivasan, P.

    2001-01-01

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

  6. The Relationship between Organizational Support Perceptions and Self-Sufficiencies of Logistics Sector Employees

    Directory of Open Access Journals (Sweden)

    Sefer Gumus

    2016-01-01

    Full Text Available This study was performed in order to examine the relationship between organizational support perceptions and self-sufficiency levels of logistics sector employees and to determine whether organizational support perceptions and self-sufficiency levels of employees differ according to some specification. The questionnaire form consisting of perceived organizational support scale in accordance with the purpose, general self-sufficiency scale and personal information form, was applied to 124 employees of 3 separate logistics firms operating in Istanbul. The data obtained from the questionnaire were analyzed using SPSS17.0 statistical software package on computer. In the assessment of data, descriptive characteristics of employees were determined by frequency and percentage statistics and the self-sufficiency and perceived organizational support levels by the mean and standard deviation statistics. The t test, Tukey test and one-way Anova tests were utilized in determining employees' self-sufficiency and perceived organizational support levels differentiation according to descriptive characteristics, and correlation analysis was utilized in determining the relationship between self-sufficiency and perceived organizational support levels of employees. In conclusion, it was determined that there was statistical relationship between organizational support and self-sufficiency levels perceived by logistics sector employees. Accordingly, when employees' perceived organizational support levels increase then self-sufficiency levels also increase, and when perceived organizational support levels decrease then self-sufficiency levels also decrease.

  7. 20 CFR 418.3345 - How do we determine the value of in-kind support and maintenance?

    Science.gov (United States)

    2010-04-01

    ... 20 Employees' Benefits 2 2010-04-01 2010-04-01 false How do we determine the value of in-kind support and maintenance? 418.3345 Section 418.3345 Employees' Benefits SOCIAL SECURITY ADMINISTRATION... room, rent, mortgage payments, real property taxes, heating fuel, gas, electricity, water, sewerage...

  8. AN IMPLEMENTATION OF EIS-SVM CLASSIFIER USING RESEARCH ARTICLES FOR TEXT CLASSIFICATION

    Directory of Open Access Journals (Sweden)

    B Ramesh

    2016-04-01

    Full Text Available Automatic text classification is a prominent research topic in text mining. The text pre-processing is a major role in text classifier. The efficiency of pre-processing techniques is increasing the performance of text classifier. In this paper, we are implementing ECAS stemmer, Efficient Instance Selection and Pre-computed Kernel Support Vector Machine for text classification using recent research articles. We are using better pre-processing techniques such as ECAS stemmer to find root word, Efficient Instance Selection for dimensionality reduction of text data and Pre-computed Kernel Support Vector Machine for classification of selected instances. In this experiments were performed on 750 research articles with three classes such as engineering article, medical articles and educational articles. The EIS-SVM classifier provides better performance in real-time research articles classification.

  9. Determining women's sexual self-schemas through advanced computerized text analysis.

    Science.gov (United States)

    Stanton, Amelia M; Boyd, Ryan L; Pulverman, Carey S; Meston, Cindy M

    2015-08-01

    The meaning extraction method (MEM), an advanced computerized text analysis technique, was used to analyze women's sexual self-schemas. Participants (n=239) completed open-ended essays about their personal feelings associated with sex and sexuality. These essays were analyzed using the MEM, a procedure designed to extract common themes from natural language. Using the MEM procedure, we extracted seven unique themes germane to sexual self-schemas: family and development, virginity, abuse, relationship, sexual activity, attraction, and existentialism. Each of these themes is comprised of frequently used words across the participants' descriptions of their sexual selves. Significant differences in sexual self-schemas were observed to covary with age, relationship status, and sexual abuse history. Copyright © 2015 Elsevier Ltd. All rights reserved.

  10. Exposure to environmental tobacco smoke (ETS) and determinants of support for complete smoking bans in psychiatric settings.

    NARCIS (Netherlands)

    Willemsen, M.C.; Gorts, C.A.; Soelen, P. van; Jonkers, R.E.; Hilberink, S.R.

    2004-01-01

    OBJECTIVE: To measure environmental tobacco smoke (ETS) exposure in psychiatric settings and to assess determinants of support for complete smoking bans. DESIGN: Cross sectional study SETTING: Dutch psychiatric hospitals, outpatient care institutions, and sheltered home facilities. SUBJECTS: A

  11. Distribution and Determinants of Unmet Need for Supportive Care Among Women with Breast Cancer in China.

    Science.gov (United States)

    Wang, Shouhua; Li, Yanqing; Li, Chaozhuo; Qiao, Yijun; He, Shuling

    2018-03-21

    BACKGROUND The aim of this study was to determine the need for supportive care among women suffering from breast cancer in China and to identify its potential determinants to inform the development of effective and efficient healthcare services across different settings. MATERIAL AND METHODS In a tertiary-care hospital in Weifang, China, between July 2015 and January 2016, all women attending the Breast Cancer Clinic for regular physical examinations after treatment for breast cancer were consecutively recruited. The 34-item Supportive Care Needs Survey tool (Chinese version) (SCNS-SF34-C) was used to assess the unmet needs among participants. RESULTS Among 264 recruited patients, based on at least single-item endorsement, 60.2% had moderate to high level of need for supportive care, while only 13.3% expressed no need. Lack of information regarding health systems was the most common domain with moderate to high unmet needs, more so among rural patients (8 vs. 5 out of 10). In each information-related domain, huge unmet need was observed among all patients irrespective of urban or rural residence. Both overall and individual information-related domain-specific unmet needs were significantly higher among rural patients as opposed to their urban counterparts. Multiple regression analyses revealed a significant rural-urban variation of unmet needs. Moreover, education and post-diagnosis time duration were negatively associated with unmet needs while stage of cancer was positively associated with these unmet needs. CONCLUSIONS There is a huge burden of unmet needs for information on the healthcare system among breast cancer survivors in China. Rural residence, less education, advanced stage of cancer, and shorter duration since diagnosis were the identified determinants requiring targeted intervention.

  12. Supportive care needs of Iranian cancer patients

    Directory of Open Access Journals (Sweden)

    Azad Rahmani

    2014-01-01

    Full Text Available Background: A supportive needs assessment is an essential component of any care program. There is no research evidence regarding the supportive care needs of cancer patients in Iran or other Middle Eastern countries. Aims: The aim of this study was to determine the supportive care needs of Iranian cancer patients. Materials and Methods: This descriptive study was conducted in a referral medical center in the northwest of Iran. A total of 274 cancer patients completed the Supportive Care Needs Survey (SCNS-59. Descriptive statistics were used for data analysis. Results: In 18 items of the SCNS, more than 50% of the participants reported that their needs were unmet. Most frequently, unmet needs were related to the health system, information, physical, and daily living domains, and most met needs were related to sexuality, patient care, and support domains. Conclusions: Iranian cancer patients experience many unmet needs and there is an urgent need for establishing additional supportive care services in Iran.

  13. Computationally determining the salience of decision points for real-time wayfinding support

    Directory of Open Access Journals (Sweden)

    Makoto Takemiya

    2012-06-01

    Full Text Available This study introduces the concept of computational salience to explain the discriminatory efficacy of decision points, which in turn may have applications to providing real-time assistance to users of navigational aids. This research compared algorithms for calculating the computational salience of decision points and validated the results via three methods: high-salience decision points were used to classify wayfinders; salience scores were used to weight a conditional probabilistic scoring function for real-time wayfinder performance classification; and salience scores were correlated with wayfinding-performance metrics. As an exploratory step to linking computational and cognitive salience, a photograph-recognition experiment was conducted. Results reveal a distinction between algorithms useful for determining computational and cognitive saliences. For computational salience, information about the structural integration of decision points is effective, while information about the probability of decision-point traversal shows promise for determining cognitive salience. Limitations from only using structural information and motivations for future work that include non-structural information are elicited.

  14. 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.

  15. Utah Text Retrieval Project

    Energy Technology Data Exchange (ETDEWEB)

    Hollaar, L A

    1983-10-01

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

  16. A Customizable Text Classifier for Text Mining

    Directory of Open Access Journals (Sweden)

    Yun-liang Zhang

    2007-12-01

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

  17. Autonomous Motivation in the Indonesian Classroom : Relationship with Teacher Support Through the Lens of Self-Determination Theory

    NARCIS (Netherlands)

    Maulana, Ridwan; Helms-Lorenz, Michelle; Irnidayanti, Yulia; van de Grift, Wim

    Self-determination theory (SDT) posits that teacher autonomy, competence, and relatedness support are crucial universal promotors for students' interest in learning, which is in line with the general aims of positive education. This study examines the relationship between the three dimensions of

  18. A thermogravimetric analysis (TGA) method to determine the catalytic conversion of cellulose from carbon-supported hydrogenolysis process

    International Nuclear Information System (INIS)

    Leal, Glauco F.; Ramos, Luiz A.; Barrett, Dean H.; Curvelo, Antonio Aprígio S.; Rodella, Cristiane B.

    2015-01-01

    Graphical abstract: - Highlights: • A new method to determine the catalytic conversion of cellulose using TGA has been developed. • TGA is able to differentiate between carbon from cellulose and carbon from the catalyst. • Building an analytical curve from TGA results enables the accurate determination of cellulose conversion. - Abstract: The ability to determine the quantity of solid reactant that has been transformed after a catalytic reaction is fundamental in accurately defining the conversion of the catalyst. This quantity is also central when investigating the recyclability of a solid catalyst as well as process control in an industrial catalytic application. However, when using carbon-supported catalysts for the conversion of cellulose this value is difficult to obtain using only a gravimetric method. The difficulty lies in weighing errors caused by loss of the solid mixture (catalyst and non-converted cellulose) after the reaction and/or moisture adsorption by the substrate. These errors are then propagated into the conversion calculation giving erroneous results. Thus, a quantitative method using thermogravimetric analysis (TGA) has been developed to determine the quantity of cellulose after a catalytic reaction by using a tungsten carbide catalyst supported on activated carbon. Stepped separation of TGA curves was used for quantitative analysis where three thermal events were identified: moisture loss, cellulose decomposition and CO/CO 2 formation. An analytical curve was derived and applied to quantify the residual cellulose after catalytic reactions which were performed at various temperatures and reaction times. The catalytic conversion was calculated and compared to the standard gravimetric method. Results showed that catalytic cellulose conversion can be determined using TGA and exhibits lower uncertainty (±2%) when compared to gravimetric determination (±5%). Therefore, it is a simple and relatively inexpensive method to determine catalytic

  19. Determining Attitudes of Postgraduate Students towards Scientific Research and Codes of Conduct, Supported by Digital Script

    Science.gov (United States)

    Tavukcu, Tahir

    2016-01-01

    In this research, it is aimed to determine the effect of the attitudes of postgraduate students towards scientific research and codes of conduct, supported by digital script. This research is a quantitative study, and it has been formed according to pre-test & post-test research model of experiment and control group. In both groups, lessons…

  20. Seqenv: linking sequences to environments through text mining

    Czech Academy of Sciences Publication Activity Database

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

    2016-01-01

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

  1. Online Test Tool to Determine the CEFR Reading Comprehension Level of Text

    NARCIS (Netherlands)

    Velleman, Eric Martin; van der Geest, Thea

    2014-01-01

    On the Common European Framework of Reference for Languages (CEFR) scale, the average reading comprehension level of the Dutch population is B1 and the average level of text provided by Dutch government organisations requires a considerably higher reading skills level (C1). This means that part of

  2. Generative Learning Strategy Use and Self-Regulatory Prompting in Digital Text

    Science.gov (United States)

    Reid, Alan J.; Morrison, Gary M.

    2014-01-01

    The digital revolution is shifting print-based textbooks to digital text, and it has afforded the opportunity to incorporate meaningful learning strategies and otherwise separate metacognitive activities directly into these texts as embedded support. A sample of 89 undergraduates read a digital, expository text on the basics of photography. The…

  3. Validation Study of Waray Text Readability Instrument

    Science.gov (United States)

    Oyzon, Voltaire Q.; Corrales, Juven B.; Estardo, Wilfredo M., Jr.

    2015-01-01

    In 2012 the Leyte Normal University developed a computer software--modelled after the Spache Readability Formula (1953) made for English--made to help rank texts that can is used by teachers or research groups on selecting appropriate reading materials to support the DepEd's MTB-MLE program in Region VIII, in the Philippines. However,…

  4. Pre- and in-Service Teachers Reading and Discussing Informational Texts

    Directory of Open Access Journals (Sweden)

    Theresa A. Deeney

    2016-05-01

    Full Text Available This study investigates U.S. elementary (kindergarten-Grade 6, ages 5-12 pre- and in-service teachers’ discussions of informational texts to understand current practices and identify needs with respect to how teachers support students in building knowledge from complex informational text as specified in the grade-level expectations of the Common Core State Standards adopted in many U.S. states. Transcripts and reflections from 17 in-service and 31 pre-service teachers’ informational text discussions were analyzed for teachers’ focus on the text, background knowledge, and text/background knowledge. In addition, transcripts were analyzed for the types of text ideas teachers targeted (details/main ideas, the comprehension demands placed on students, how teachers used follow-up moves to encourage higher level thinking, and how teachers use transcripts of their discussions to analyze and critique their own practice. Findings suggest that both pre- and in-service teachers draw heavily on students’ background knowledge and text details in their questioning; but differences exist in how pre- and in-service teachers use follow-up responses to promote knowledge building. Findings also suggest that both pre- and in-service teachers can use their transcripts to recognize areas of need, and offer themselves suggestions to better support students’ understanding. Implications are offered for teacher education and professional development.

  5. Testing a self-determination theory intervention for motivating tobacco cessation: supporting autonomy and competence in a clinical trial.

    Science.gov (United States)

    Williams, Geoffrey C; McGregor, Holly A; Sharp, Daryl; Levesque, Chantal; Kouides, Ruth W; Ryan, Richard M; Deci, Edward L

    2006-01-01

    A longitudinal randomized trial tested the self-determination theory (SDT) intervention and process model of health behavior change for tobacco cessation (N = 1006). Adult smokers were recruited for a study of smokers' health and were assigned to intensive treatment or community care. Participants were relatively poor and undereducated. Intervention patients perceived greater autonomy support and reported greater autonomous and competence motivations than did control patients. They also reported greater medication use and significantly greater abstinence. Structural equation modeling analyses confirmed the SDT process model in which perceived autonomy support led to increases in autonomous and competence motivations, which in turn led to greater cessation. The causal role of autonomy support in the internalization of autonomous motivation, perceived competence, and smoking cessation was supported. Copyright 2006 APA, all rights reserved.

  6. Describing Old Czech Declension Patterns for Automatic Text Analysis

    Czech Academy of Sciences Publication Activity Database

    Jínová, P.; Lehečka, Boris; Oliva jr., Karel

    -, č. 13 (2014), s. 7-17 ISSN 1579-8372 Institutional support: RVO:68378092 Keywords : Old Czech morphology * declension patterns * automatic text analysis * i-stems * ja-stems Subject RIV: AI - Linguistics

  7. Physician impressions of using text message technology to increase vaccination compliance.

    Science.gov (United States)

    Hart, Traci; Ahlers-Schmidt, Carolyn R; Chesser, Amy; Jones, Jordan; Williams, Katherine S; Wittler, Robert R

    2011-01-01

    Immunization schedules are complicated and difficult for parents to remember. Parents are willing to receive text message reminders. However, it is unknown whether physicians are willing to implement such a system. The purpose of this study was to evaluate the feasibility of a text messaging reminder system from the physician's perspective. Surveys were distributed in the winter of 2009-2010 by e-mail, facsimile, and telephone interview to 149 family physicians and pediatricians who provide immunizations in Sedgwick County, Kansas. A 69% response rate was achieved. Nearly all (92%) respondents reported that they currently communicate information about immunization schedules to parents using traditional methods such as verbal reminders or appointment cards; however, none (0%) currently use text or email to generate reminders to parents. Even when asked to assume they had all of the necessary resources, almost one-third (31%) reported that they were "very unwilling" or "unwilling" to use a general text-messaging program, 43% were "neutral" or "undecided," and only 27% were "willing" or "very willing." Physician willingness to use a text-messaging program was not related to their reported gender (χ²(2)=0.224, p=0.894), specialization (χ² (2)=4.363, p=0.113), years in practice (F(2, 91)=0.435, p=0.149), or comfort level with technology (χ²(4)=1.861, p=0.761). There is a hesitancy to implement a text message reminder system for childhood vaccine schedules. This may be due to the lack of empirical evidence supporting the use of this technology for health reminders or the lack of willingness to implement another system. Further investigation is needed to determine why few physicians are willing to implement text messaging for immunization reminders.

  8. Text mining for the biocuration workflow.

    Science.gov (United States)

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

    2012-01-01

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

  9. Text mining for the biocuration workflow

    Science.gov (United States)

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

    2012-01-01

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

  10. A Proposed Arabic Handwritten Text Normalization Method

    Directory of Open Access Journals (Sweden)

    Tarik Abu-Ain

    2014-11-01

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

  11. Assessing Assessment Texts: Where Is Planning?

    Science.gov (United States)

    Fives, Helenrose; Barnes, Nicole; Dacey, Charity; Gillis, Anna

    2016-01-01

    We conducted a content analysis of 27 assessment textbooks to determine how assessment planning was framed in texts for preservice teachers. We identified eight assessment planning themes: alignment, assessment purpose and types, reliability and validity, writing goals and objectives, planning specific assessments, unpacking, overall assessment…

  12. The Self-perception of Text-message Dependency Scale (STDS): Psychometric update based on a United States sample.

    Science.gov (United States)

    Liese, Bruce S; Benau, Erik M; Atchley, Paul; Reed, Derek; Becirevic, Amel; Kaplan, Brent

    2018-05-14

    Some have suggested that text messaging is an addictive behavior. However, this characterization is uncertain, partly due to lack of well-validated measures of text messaging attitudes and behaviors. One standard instrument for measuring text messaging attitudes and behaviors is the Self-perception of Text-message Dependency Scale (STDS), though the psychometric properties of this scale have only been examined with a sample of Japanese youth. The primary objective of this study was to evaluate the STDS in the United States to determine its utility as a measure of text messaging dependence. We were interested in examining the factor structure and determining the extent to which this scale would correlate with two important outcome measures: motor vehicle accidents (MVAs) and moving violations. We analyzed data from 468 adults (age 18-74; 274 women) recruited via Amazon's Mechanical Turk (mTurk) service. Participants completed the STDS and provided information about their driving-related incidents in the past year. First we performed a confirmatory factor analysis, which supported the instrument's original factor structure. Then we tested the relationship between scores on the STDS and two important variables, MVAs and moving violations. We found that the STDS significantly correlated with both MVAs and moving violations. The present study confirms that the STDS is a potentially useful instrument for studying texting dependence in the United States and with adults of all ages. The instrument may be particularly useful in predicting motor vehicle outcomes.

  13. Decision support system for determining Bantuan Siswa Miskin (BSM) receivers with profile matching method

    Science.gov (United States)

    Situmorang, B. H.; Pibriana, E.; Tosida, E. T.

    2018-03-01

    Bantuan Siswa Miskin (BSM) is a National Programs aimed at eliminating the barriers of poor students participating to school by helping poor students gain access to appropriate education services, prevent dropping out of school, attract poor students back to school, assis students in providing for learning activities, support the Nine Years Basic Education (and even up to senior high school) program, as well as helping to smooth the school programs [1]. Decision Support System is made by applying Profile Matching method to assist teachers or school operators in SMP PGRI Ciasmara in selecting prospective recipients of BSM program and providing recommendations in decision making. Profile Matching is used to compare the actual data value of a profile to be assessed by the expected profile value, so that it can be known the difference of competence (also called GAP). If the resulting value of GAP is smaller then the weight of value will be greater, which means it has a greater chance to be recommended as a potential recipient of the BSM program. Decision Support System for determining BSM receivers is only choosing the right alternatives to receive BSM according to the BSM quota given to SMP PGRI Ciasmara. The right alternatives to receive this BSM is the highest ranking alternatives.

  14. Optimum Tower Crane Selection and Supporting Design Management

    Directory of Open Access Journals (Sweden)

    Hyo Won Sohn

    2014-08-01

    Full Text Available To optimize tower crane selection and supporting design, lifting requirements (as well as stability should be examined, followed by a review of economic feasibility. However, construction engineers establish plans based on data provided by equipment suppliers since there are no tools with which to thoroughly examine a support design's suitability for various crane types, and such plans lack the necessary supporting data. In such cases it is impossible to optimize a tower crane selection to satisfy lifting requirements in terms of cost, and to perform lateral support and foundation design. Thus, this study is intended to develop an optimum tower crane selection and supporting design management method based on stability. All cases that are capable of generating an optimization of approximately 3,000 ˜ 15,000 times are calculated to identify the candidate cranes with minimized cost, which are examined. The optimization method developed in the study is expected to support engineers in determining the optimum lifting equipment management.

  15. Perceived Social Support as a Determinant of Quality of Life Among Medical Students: 6-Month Follow-up Study.

    Science.gov (United States)

    Hwang, In Cheol; Park, Kwi Hwa; Kim, Jin Joo; Yim, Jun; Ko, Kwang Pil; Bae, Seung Min; Kyung, Sun Young

    2017-04-01

    This longitudinal study aimed to identify the relevant factors related to quality of life (QoL) changes in medical students. For this 6-month follow-up study, we enrolled 109 students from a Korean medical school. To assess students' QoL, we used the World Health Organization QoL scale. Possible determinants of student QoL included demographics, fatigue, and social support. A stepwise multivariate analysis identified factors associated with changes of student QoL. Among sources of support, the "friends" category was the main position affecting their overall QoL, and "significant other" had the strongest influence on psychological and social domains. The impact of support from friends on QoL was confirmed in the longitudinal analysis. Final regression models revealed that providing students with more social support and promoting fatigue reduction best improved medical student sense of well-being. Creating stronger student support programs to prevent social detachment and implementing strategies to reduce fatigue can improve QoL in medical students.

  16. Supporting Teaching and Learning Using Authentic Scientific Texts: A Rejoinder to Danielle J. Ford

    Science.gov (United States)

    Yarden, Anat; Falk, Hedda; Federico-Agraso, Marta; Jimenez-Aleixandre, Maria Pilar; Norris, Stephen P.; Phillips, Linda M.

    2009-01-01

    In her commentary Danielle J. Ford mainly focused on three issues that highlight the promises and challenges for the use of Adapted Primary Literature (APL) in science curricula: the possible contribution of APL to authentic experiences in secondary schools, implementation issues of APL including the support required for the teachers, and the…

  17. Initial results for compressive sensing in electronic support receiver systems

    CSIR Research Space (South Africa)

    Du Plessis, WP

    2011-04-01

    Full Text Available determined by the antenna and microwave system comprising the transmitter and receiver, while the instantaneous bandwidth is mainly determined by the Analog-to-Digital Converter (ADC) in the receiver. A radar can thus operate at any frequency within its... Electronic/Electromagnetic Support Measures (ESM) was used historically [1], [2]. Modern ES receiver systems are based on digital receivers allowing powerful signal processing techniques to be used [3], [4]. Recent developments in sampling technology...

  18. Measurement of the [Formula: see text] production cross-section in proton-proton collisions via the decay [Formula: see text].

    Science.gov (United States)

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

    The production of the [Formula: see text] state in proton-proton collisions is probed via its decay to the [Formula: see text] final state with the LHCb detector, in the rapidity range [Formula: see text] and in the meson transverse-momentum range [Formula: see text]. The cross-section for prompt production of [Formula: see text] mesons relative to the prompt [Formula: see text] cross-section is measured, for the first time, to be [Formula: see text] at a centre-of-mass energy [Formula: see text] using data corresponding to an integrated luminosity of 0.7 fb[Formula: see text], and [Formula: see text] at [Formula: see text] using 2.0 fb[Formula: see text]. The uncertainties quoted are, in order, statistical, systematic, and that on the ratio of branching fractions of the [Formula: see text] and [Formula: see text] decays to the [Formula: see text] final state. In addition, the inclusive branching fraction of [Formula: see text]-hadron decays into [Formula: see text] mesons is measured, for the first time, to be [Formula: see text], where the third uncertainty includes also the uncertainty on the [Formula: see text] inclusive branching fraction from [Formula: see text]-hadron decays. The difference between the [Formula: see text] and [Formula: see text] meson masses is determined to be [Formula: see text].

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

    Science.gov (United States)

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

    2014-11-01

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

  20. vi and Vim Editors Pocket Reference Support for every text editing task

    CERN Document Server

    Robbins, Arnold

    2011-01-01

    Many Unix, Linux, and Mac OS X geeks enjoy using the powerful, platform-agnostic text editors vi and Vim, but there are far too many commands for anyone to remember. Author Arnold Robbins has chosen the most valuable commands for vi, Vim, and vi's main clones-vile, elvis, and nvi-and packed them into this easy-to-browse pocket reference. You'll find commands for all kinds of editing tasks, such as programming, modifying system files, and writing and marking up articles. This second edition includes: Command-line optionsvi commands and set optionsInput mode shortcutsSubstitution and regular e

  1. Chemical-text hybrid search engines.

    Science.gov (United States)

    Zhou, Yingyao; Zhou, Bin; Jiang, Shumei; King, Frederick J

    2010-01-01

    As the amount of chemical literature increases, it is critical that researchers be enabled to accurately locate documents related to a particular aspect of a given compound. Existing solutions, based on text and chemical search engines alone, suffer from the inclusion of "false negative" and "false positive" results, and cannot accommodate diverse repertoire of formats currently available for chemical documents. To address these concerns, we developed an approach called Entity-Canonical Keyword Indexing (ECKI), which converts a chemical entity embedded in a data source into its canonical keyword representation prior to being indexed by text search engines. We implemented ECKI using Microsoft Office SharePoint Server Search, and the resultant hybrid search engine not only supported complex mixed chemical and keyword queries but also was applied to both intranet and Internet environments. We envision that the adoption of ECKI will empower researchers to pose more complex search questions that were not readily attainable previously and to obtain answers at much improved speed and accuracy.

  2. Follow the Reader: An Effective Strategy to Support Students Reading More Complex Text

    Science.gov (United States)

    Klvacek, Michelle L.; Monroe, Eula Ewing; Wilcox, Brad; Hall-Kenyon, Kendra M.; Morrison, Timothy G.

    2017-01-01

    This article describes how one second-grade teacher implemented Follow the Reader, her term for dyad reading. Common Core expects students to read increasingly complex texts. Teachers can implement dyad reading with this end in mind. It is a modified version of the neurological impress method in which a lead reader and an assisted reader sit side…

  3. OPTIMALISASI SUPPORT VEKTOR MACHINE (SVM UNTUK KLASIFIKASI TEMA TUGAS AKHIR BERBASIS K-MEANS

    Directory of Open Access Journals (Sweden)

    Oman Somantri

    2017-01-01

    Full Text Available The difficulty in determining the classification of students final project theme often experienced by each college. The purpose of this study is to provide a decision support for policy makers in the study program so that each student can be achieved in accordance with their own competence. From the research that has been done text mining algorithms using Support Vector Machine ( SVM and K -Means as the technology used was produced a better accuracy rate with an accuracy rate of 86.21 % when compared to the SVM without K -Means is 85 , 38 %

  4. Important Text Characteristics for Early-Grades Text Complexity

    Science.gov (United States)

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

    2015-01-01

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

  5. User Collaboration for Improving Access to Historical Texts

    Directory of Open Access Journals (Sweden)

    Clemens Neudecker

    2010-08-01

    Full Text Available The paper will describe how web-based collaboration tools can engage users in the building of historical printed text resources created by mass digitisation projects. The drivers for developing such tools will be presented, identifying the benefits that can be derived for both the user community and cultural heritage institutions. The perceived risks, such as new errors introduced by the users, and the limitations of engaging with users in this way will be set out with the lessons that can be learned from existing activities, such as the National Library of Australia's newspaper website which supports collaborative correction of Optical Character Recognition (OCR output. The paper will present the work of the IMPACT (Improving Access to Text project, a large-scale integrating project funded by the European Commission as part of the Seventh Framework Programme (FP7. One of the aims of the project is to develop tools that help improve OCR results for historical printed texts, specifically those works published before the industrial production of books from the middle of the 19th century. Technological improvements to image processing and OCR engine technology are vital to improving access to historic text, but engaging the user community also has an important role to play. Utilising the intended user can help achieve the levels of accuracy currently found in born-digital materials. Improving OCR results will allow for better resource discovery and enhance performance by text mining and accessibility tools. The IMPACT project will specifically develop a tool that supports collaborative correction and validation of OCR results and a tool to allow user involvement in building historical dictionaries which can be used to validate word recognition. The technologies use the characteristics of human perception as a basis for error detection.

  6. Support Policies in Clusters: Prioritization of Support Needs by Cluster Members According to Cluster Life Cycle

    Directory of Open Access Journals (Sweden)

    Gulcin Salıngan

    2012-07-01

    Full Text Available Economic development has always been a moving target. Both the national and local governments have been facing the challenge of implementing the effective and efficient economic policy and program in order to best utilize their limited resources. One of the recent approaches in this area is called cluster-based economic analysis and strategy development. This study reviews key literature and some of the cluster based economic policies adopted by different governments. Based on this review, it proposes “the cluster life cycle” as a determining factor to identify the support requirements of clusters. A survey, designed based on literature review of International Cluster support programs, was conducted with 30 participants from 3 clusters with different maturity stage. This paper discusses the results of this study conducted among the cluster members in Eskişehir- Bilecik-Kütahya Region in Turkey on the requirement of the support to foster the development of related clusters.

  7. Determining Women’s Sexual Self-Schemas Through Advanced Computerized Text Analysis

    Science.gov (United States)

    Stanton, Amelia M.; Boyd, Ryan L.; Pulverman, Carey S.; Meston, Cindy M.

    2015-01-01

    The meaning extraction method (MEM), an advanced computerized text analysis technique, was used to analyze women’s sexual self-schemas. Participants (n = 239) completed open-ended essays about their personal feelings associated with sex and sexuality. These essays were analyzed using the MEM, a procedure designed to extract common themes from natural language. Using the MEM procedure, we extracted seven unique themes germane to sexual self-schemas: family and development, virginity, abuse, relationship, sexual activity, attraction, and existentialism. Each of these themes is comprised of frequently used words across the participants’ descriptions of their sexual selves. Significant differences in sexual self-schemas were observed to covary with age, relationship status, and sexual abuse history. PMID:26146161

  8. [Online text-based psychosocial intervention for Youth in Quebec].

    Science.gov (United States)

    Thoër, Christine; Noiseux, Kathia; Siche, Fabienne; Palardy, Caroline; Vanier, Claire; Vrignaud, Caroline

    In 2013, Tel-jeunes created a text messaging intervention program to reach youth aged 12 to 17 years on their cell phones. Tel-jeunes was the first in the country to offer a text-based brief psychosocial interventions performed by professional counselors. Researchers were contacted to document and evaluate the program. The research aimed to: 1) determine motives, contexts and issues that lead young people to use the SMS service; 2) document the characteristics of text-based brief intervention; and 3) assess the advantages and difficulties encountered by counselors who respounded to youth text-messages. We conducted a multimethod research from November 2013 to May 2014. We held four focus groups with 23 adolescents aged 15 to 17 who had or not used the SMS service, conducted a content analysis of a corpus of 13,236 text messages (or 601 conversations), and two focus groups with 11 Tel-jeunes counselors, just over a year after the implantation of the service. Our findings show that the SMS service meets youth needs. They identify text messaging to be their prefered mode of communication with Tel-jeunes when they need support or information. Moreover, the service reaches young people who would not have felt confortable to contact Tel-jeunes by phone. We identified three dominant issues in youths demands: romantic relationships, psychological health and sexuality. Perceived benefits of the service include anonimity and privacy (cell phone providing the ability to text anywhere). Youth participants also appreciated writing to counselors as they felt they had more time to think abouth their questions and answers to the counselor. Counselors were more ambivalent. They considered text-based intervention to be very effective and satisfactory to adress youth information requests, but reported difficulties when dealing with more complex problems or with mental health issues. They reported that text-based communication makes it more difficult to assess youth emotional states

  9. Great Lakes water quality initiative technical support document for the procedure to determine bioaccumulation factors. Draft report

    International Nuclear Information System (INIS)

    1993-03-01

    The purpose of the document is to provide the technical information and rationale in support of the proposed procedures to determine bioaccumulation factors. Bioaccumulation factors, together with the quantity of aquatic organisms eaten, determine the extent to which people and wildlife are exposed to chemicals through the consumption of aquatic organisms. The more bioaccumulative a pollutant is, the more important the consumption of aquatic organisms becomes as a potential source of contaminants to humans and wildlife. Bioaccumulation factors are needed to determine both human health and wildlife tier I water quality criteria and tier II values. Also, they are used to define Bioaccumulative Chemicals of Concern among the Great Lakes Initiative universe of pollutants. Bioaccumulation factors range from less than one to several million

  10. Support mechanisms for renewables: How risk exposure influences investment incentives

    Directory of Open Access Journals (Sweden)

    Lena Kitzing

    2016-06-01

    Full Text Available We analyse quantitatively how risk exposure from different support mechanisms, such as feed-in tariffs and premiums, can influence the investment incentives for private investors. We develop a net cash flow approach that takes systematic and unsystematic risks into account through cost of capital and the Capital Asset Pricing Model as well as through active liquidity management. Applying the model to a specific case, a German offshore wind park, we find that the support levels required to give adequate investment incentives are for a feed-in tariff scheme approximately 4-10% lower than for a feed-in premium scheme. The effect of differences in risk exposure from the support schemes is significant and cannot be neglected in policy making, especially when deciding between support instruments or when determining adequate support levels.

  11. Striving for meaning—Life in supported housing for people with psychiatric disabilities

    Directory of Open Access Journals (Sweden)

    Rosita Brolin

    2016-05-01

    Full Text Available The aim of this study was to develop a grounded theory about people with psychiatric disabilities, living in supported housing. Interviews as well as observations during the interviews were analyzed together with secondary analyses of quantitative and qualitative material from previous studies. Being deprived of self-determination emerged as the main concern for residents in supported housing and striving for meaning emerged as the pattern of behavior through which this group resolves their main concern. Striving for meaning involves living in the present, striving for self-determination, strengthening self-esteem, emotional processing and resting from the present. The strategies facilitate each other and are used singly, together simultaneously, or alternately. If they are successful, a meaning in the present is perceived. If all the strategies fail repeatedly, escaping from the present is used in order to deal with being deprived of self-determination. The implications of the findings suggest prioritizing a reduction of the institutional nature of the social and physical environment, and to support the residents’ self-determination.

  12. Surface sites on carbon-supported Ru, Co and Ni nanoparticles as determined by microcalorimetry of CO adsorption

    International Nuclear Information System (INIS)

    Cerro-Alarcon, M.; Maroto-Valiente, A.; Rodriguez-Ramos, I.; Guerrero-Ruiz, A.

    2005-01-01

    The adsorption of CO on carbon-supported metal (Ru, Co and Ni) catalysts was studied by microcalorimetry. A correlation of the results thus obtained with those reported for monocrystals or with other studies available in the scientific literature for supported metal catalysts, including infrared spectroscopy data, enables the determination of the type of exposed crystalline planes and/or of the different types of CO adsorbed species. The results obtained suggest that the energetic distribution of the surface sites depends on the carbon support material and on the applied reduction treatment. In this way, the use of a high surface area graphite (clean of surface oxygen groups) leads to an electron density enrichment on the small metal particles (Ru) and, in general, to a higher heterogeneity of the active surface sites. The elimination of surface oxygen functional groups (with the reduction treatment at the higher temperature) of the carbon molecular sieve support leads to changes in the surface structure of the metal particles and, consequently, to higher CO adsorption heats, particularly for Ru and Co

  13. Text-interpreter language for flexible generation of patient notes and instructions.

    Science.gov (United States)

    Forker, T S

    1992-01-01

    An interpreted computer language has been developed along with a windowed user interface and multi-printer-support formatter to allow preparation of documentation of patient visits, including progress notes, prescriptions, excuses for work/school, outpatient laboratory requisitions, and patient instructions. Input is by trackball or mouse with little or no keyboard skill required. For clinical problems with specific protocols, the clinician can be prompted with problem-specific items of history, exam, and lab data to be gathered and documented. The language implements a number of text-related commands as well as branching logic and arithmetic commands. In addition to generating text, it is simple to implement arithmetic calculations such as weight-specific drug dosages; multiple branching decision-support protocols for paramedical personnel (or physicians); and calculation of clinical scores (e.g., coma or trauma scores) while simultaneously documenting the status of each component of the score. ASCII text files produced by the interpreter are available for computerized quality audit. Interpreter instructions are contained in text files users can customize with any text editor.

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

    Science.gov (United States)

    White, Sheida

    2012-01-01

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

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

    Directory of Open Access Journals (Sweden)

    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.

  16. Dr. Dan Arvizu Keynote Presentation Text Version | NREL

    Science.gov (United States)

    ready for launch. [clapping and music] We are here at the NREL Industry Growth Forum. It brings together This page contains the text version of the NREL Industry Growth Forum video. Clean energy is indeed history of supporting the NREL Industry Growth Forum. We really began our relationship with NREL back in

  17. Supporting Self-Determined Indigenous Innovations: Rethinking the Digital Divide in Canada

    Directory of Open Access Journals (Sweden)

    Jasmin Winter

    2018-02-01

    Full Text Available This article seeks to revisit dominant narratives of digital technological development in Indigenous communities in Canada. By prioritizing Indigenous voices and drawing from concepts of self-determination and sovereignty, this analysis reorients discourse surrounding the “digital divide” towards a strength-based approach that positions Indigenous peoples as innovators and creators, not just consumers, of digital technologies. This article begins with a discussion of how dominant media has used technology and technological imagery to misrepresent Indigenous cultures and perpetuate colonial biases, and emphasizes the importance of making space for Indigenous future imagery. Following this is a discussion of digital storytelling and virtual landscapes, showcasing a small sample of Indigenous initiatives online, in video game and app development, and in augmented and virtual reality. Finally, this article considers the potential of “makerspaces” as a framework for future action to bridge theory and practice.

  18. NMR strategies to support medicinal chemistry workflows for primary structure determination.

    Science.gov (United States)

    Oguadinma, Paul; Bilodeau, Francois; LaPlante, Steven R

    2017-01-15

    Central to drug discovery is the correct characterization of the primary structures of compounds. In general, medicinal chemists make great synthetic and characterization efforts to deliver the intended compounds. However, there are occasions which incorrect compounds are presented, such as those reported for Bosutinib and TIC10. This may be due to a variety of reasons such as uncontrolled reaction schemes, reliance on limited characterization techniques (LC-MS and/or 1D 1H NMR spectra), or even the lack of availability or knowledge of characterization strategies. Here, we present practical NMR approaches that support medicinal chemist workflows for addressing compound characterization issues and allow for reliable primary structure determinations. These strategies serve to differentiate between regioisomers and geometric isomers, distinguish between N- versus O-alkyl analogues, and identify rotamers and atropisomers. Overall, awareness and application of these available NMR methods (e.g. HMBC/HSQC, ROESY and VT experiments, to name only a few) should help practicing chemists to reveal chemical phenomena and avoid mis-assignment of the primary structures of compounds. Copyright © 2016 Elsevier Ltd. All rights reserved.

  19. Feasibility of a Text-Based Smoking Cessation Intervention in Rural Older Adults

    Science.gov (United States)

    Noonan, D.; Silva, S.; Njuru, J.; Bishop, T.; Fish, L. J.; Simmons, L. A.; Choi, S. H.; Pollak, K. I.

    2018-01-01

    Text-based interventions are effective for smoking cessation, but have not been tested in rural older adults. The purpose of this study was to compare the feasibility, acceptability and preliminary efficacy of a text-based Scheduled Gradual Reduction (SGR) program to a non-SGR text messaging support condition among rural older adults. Adults over…

  20. The text plan concept: contributions to the writing planning process

    Directory of Open Access Journals (Sweden)

    Ana Lúcia Tinoco Cabral

    2013-12-01

    Full Text Available Students - at different levels, ranging from early grades up to PhD - face problems both on comprehension and text production. This paper focuses on the text plan concept according to the DTA (Discourse Text Analysis approach, i.e., a principle of organization that allows students to put into practice the production intention as well as to arrange text information while producing; being responsible for the text compositional structure (Adam, 2008. The study analyzes the relation between text plan and the writing planning process, in which the first one provides the second with theoretical support. In order to develop such research, the study covers some issues related to the reading skill, analyzes an argumentative text as per its textual plan, and presents some reflections on the writing process, focusing on the relation between textual plan and the writing planning process.

  1. Inferential revision in narrative texts: An ERP study.

    Science.gov (United States)

    Pérez, Ana; Cain, Kate; Castellanos, María C; Bajo, Teresa

    2015-11-01

    We evaluated the process of inferential revision during text comprehension in adults. Participants with high or low working memory read short texts, in which the introduction supported two plausible concepts (e.g., 'guitar/violin'), although one was more probable ('guitar'). There were three possible continuations: a neutral sentence, which did not refer back to either concept; a no-revise sentence, which referred to a general property consistent with either concept (e.g., '…beautiful curved body'); and a revise sentence, which referred to a property that was consistent with only the less likely concept (e.g., '…matching bow'). Readers took longer to read the sentence in the revise condition, indicating that they were able to evaluate their comprehension and detect a mismatch. In a final sentence, a target noun referred to the alternative concept supported in the revise condition (e.g., 'violin'). ERPs indicated that both working memory groups were able to evaluate their comprehension of the text (P3a), but only high working memory readers were able to revise their initial incorrect interpretation (P3b) and integrate the new information (N400) when reading the revise sentence. Low working memory readers had difficulties inhibiting the no-longer-relevant interpretation and thus failed to revise their situation model, and they experienced problems integrating semantically related information into an accurate memory representation.

  2. Sex determination in Turdus amaurochalinus (Passeriformes: Muscicapidae: morphometrical analysis supported by CHD gene

    Directory of Open Access Journals (Sweden)

    Katyucha Von Kossel de Andrade Silva

    2011-06-01

    Full Text Available Sex determination is important for conservation and population studies, particularly for reproduction programs of threatened species and behavioural ecology. Turdus amaurochalinus, Creamy-bellied Thrush, only exhibits sexual dimorphism during the breeding season, when males are considered to show intense yellow bills, and females and immature males show dark brown bills. The objectives of this study were: 1 to determine the sex of individuals using genetic techniques, and 2 to test the hypothesis that sex dimorphism can be detected by morphometry. This study was carried out at Parque Nacional da Restinga de Jurubatiba, a preserved area located on the North coast of Rio de Janeiro State. The birds were captured using ornithological nets, singly marked with metal rings, weighed, measured and had blood samples collected before being released. The sex of 42 T. amaurochalinus individuals was determined using the CHD gene marker. A total of 20 males and 22 females were identified from June to August, with peak capture frequency in June. Turdus amaurochalinus females and males differed significantly in morphometrical measures. The most important traits to distinguish males from females were wing length (Student t-test=4.34, df=40, p=0.0001 and weight (Student t-test=2.08,df=40, p=0.044: females were heavier and had significantly shorter wing length than males. Females and males were correctly classified in 86% and 75% of cases, respectively, using Discriminant Analysis. The molecular analysis was the most secure method for sex determination in the studied species. Rev. Biol. Trop. 59 (2: 789- 794. Epub 2011 June 01.

  3. Comprehension of atypical literary text and scholastic achievement

    Directory of Open Access Journals (Sweden)

    Božin Aurel A.

    2009-01-01

    Full Text Available With the aim of gaining insight into literary text comprehension and the linkage between that comprehension and scholastic achievement during the first years of schooling, a research was conducted on the sample of 152 third and fourth grade pupils from one urban and one rural school. After having read silently a selected atypical excerpt from one literary text, interviewed pupils filled out the questionnaire constructed for the purposes of this research starting from the 11 categories of text comprehension singled out based on the theory of comprehension and interpretation of literary text and the current curriculum. In the first part of the research we applied the Children's orientation scale by Malka Margalit, and school marks were used as a measurement of scholastic achievement. Research results point out that, among other things, inferring on the basis of what has been read poses the greatest difficulty for third and fourth graders, that is, that almost three quarters of them are not capable of determining the meaning of some representative sentences from that text. In the positive sense, it was established that almost three quarters of them perceive beautiful poetic expressions and about 80% of them can at least to a certain extent recognize character descriptions, emotional situations and moods, that is, discover significant facts. Answers to the questions regarding the majority of categories of text comprehension are significantly correlated with scholastic achievement. As expected, the highest correlations between the measures on text comprehension categories are with the marks in native (Serbian language. Partial correlations between the measures on certain categories of text comprehension and measurements of scholastic achievement (excluding the influence of feeling of coherence are not significantly different from bivariate. Based on the obtained data, authors conclude that the utilized system of categories can be a useful tool for

  4. Using Text Models In Diagnostic Tasks.

    Directory of Open Access Journals (Sweden)

    Korostil Yuriy

    2015-09-01

    Full Text Available This paper contains developing of a method of solving diagnostic tasks for complex technical objects (STO based on using text models (TMi to describe the functioning of STO. A TMi model is a text description, in normalized form, of all fragments of STO functioning process. The description of TMi is for med using semantic vocabularies of different types, which are generated on the basis of usage of information about all the aspects of STO construction and functioning. Such interpretation description is a subject area for tasks of STO diagnostics. Detection of malfunction and deviations of a functioning process of STO from an established functioning mode is implemented on the basis of analysis of semantic parameters of text description of the STO functioning process in order to determine semantic anomalies which occur in the descriptions of the STO functioning process, as well as in the descriptions of fragments of its functioning. Semantic anomalies occur in case when values of semantic parameters go beyond their established limits.

  5. Using Mentor Texts to Teach Writing in Science and Social Studies

    Science.gov (United States)

    Pytash, Kristine E.; Morgan, Denise N.

    2014-01-01

    This article explores how the research-based practice of using mentor texts can support students' writing within their subject areas. Specifically, this article examines the writing demands of the Common Core Writing Standards and how using mentor texts helps teachers meet these writing standards. We share guiding principles for using mentor…

  6. Text and ideology: text-oriented discourse analysis

    Directory of Open Access Journals (Sweden)

    Maria Eduarda Gonçalves Peixoto

    2018-04-01

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

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

    Science.gov (United States)

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

    1987-03-01

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

  8. The Incidence of Sixteenth Century Cosmic Models in Modern Texts

    Science.gov (United States)

    Maene, S. A.; Best, J. S.; Usher, P. D.

    1999-12-01

    In the sixteenth century, the bounded cosmological models of Copernicus (1543) and Tycho Brahe (1588), and the unbounded model of Thomas Digges (1576), vied with the bounded geocentric model of Ptolemy (c. 140 AD). The work of the philosopher Giordano Bruno in 1584 lent further support to the Digges model. Despite the eventual acceptance of the unbounded universe, analysis of over 100 modern introductory astronomy texts reveals that these early unbounded models are mentioned infrequently. The ratio of mentions of Digges' model to Copernicus' model has the surprisingly low value of R = 0.08. The philosophical speculation of Bruno receives mention more than twice as often (R = 0.17). The expectation that these early unbounded models warrant inclusion in astronomy texts is supported both by modern hindsight and by the literature of the time. In Shakespeare's "Hamlet" of c. 1601, Prince Hamlet suffers from two transformations. According to the cosmic allegorical model, one transformation changes the bounded geocentricism of Ptolemy to the bounded heliocentricism of Copernicus, while the other completes the change to Digges' model of the infinite universe of suns. This interpretation and the modern world view suggest that both transformations should receive equal mention and thus that the ratio R in introductory texts should be close to unity. This work was supported in part by the NASA West Virginia Space Grant Consortium.

  9. Enhancing a Teen Pregnancy Prevention Program with text messaging: engaging minority youth to develop TOP ® Plus Text.

    Science.gov (United States)

    Devine, Sharon; Bull, Sheana; Dreisbach, Susan; Shlay, Judith

    2014-03-01

    To develop and pilot a theory-based, mobile phone texting component attractive to minority youth as a supplement to the Teen Outreach Program(®), a youth development program for reducing teen pregnancy and school dropout. We conducted iterative formative research with minority youth in multiple focus groups to explore interest in texting and reaction to text messages. We piloted a month-long version of TOP(®) Plus Text with 96 teens at four sites and conducted a computer-based survey immediately after enrollment and at the end of the pilot that collected information about teens' values, social support, self-efficacy, and behaviors relating to school performance, trouble with the law, and sexual activity. After each of the first three weekly sessions we collected satisfaction measures. Upon completion of the pilot we conducted exit interviews with twelve purposively selected pilot participants. We successfully recruited and enrolled minority youth into the pilot. Teens were enthusiastic about text messages complementing TOP(®). Results also revealed barriers: access to text-capable mobile phones, retention as measured by completion of the post-pilot survey, and a need to be attentive to teen literacy. Piloting helped identify improvements for implementation including offering text messages through multiple platforms so youth without access to a mobile phone could receive messages; rewording texts to allow youth to express opinions without feeling judged; and collecting multiple types of contact information to improve follow-up. Thoughtful attention to social and behavioral theory and investment in iterative formative research with extensive consultation with teens can lead to an engaging texting curriculum that enhances and complements TOP(®). Copyright © 2014 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

  10. Exclusive Breastfeeding Determinants in Breastfeeding Mother

    Directory of Open Access Journals (Sweden)

    Ika Mustika

    2017-04-01

    Full Text Available Exclusive breastfeeding until 6 month is very important for baby. The proportion of mothers who exclusively breastfeed their babies up to 6 months remains low. Factors influencing the exclusive breastfeeding namely sociodemograph factors , factors pre / post delivery , and psychosocial factors. This aims of this study to identify determinant factors of exclusive breastfeeding on mother. This research method is a systematic review , by analyzing the various studies on exclusive breastfeeding. There are 17 studies. The results obtained occupational factors most studied with significant results ( median OR = 1.265 . Psychosocial factors that have significant relationship is support of her husband (average OR = 4.716 and family support ( average OR = 1.770 . Conclusions : factors influencing the exclusive breastfeeding is occupational factor. Socialization and support from people nearby, health workers, and all parties is needed for exclusive breastfeeding for six months can be achieved.

  11. Ordinary differential equations a graduate text

    CERN Document Server

    Bhamra, K S

    2015-01-01

    ORDINARY DIFFERENTIAL EQUATIONS: A Graduate Text presents a systematic and comprehensive introduction to ODEs for graduate and postgraduate students. The systematic organized text on differential inequalities, Gronwall's inequality, Nagumo's theorems, Osgood's criteria and applications of different equations of first order is dealt with in a greater depth. The book discusses qualitative and quantitative aspects of the Strum - Liouville problems, Green's function, integral equations, Laplace transform and is supported by a number of worked-out examples in each lesson to make the concepts clear. A lot of stress on stability theory is laid down, especially on Lyapunov and Poincare stability theory. A numerous figures in various lessons (in particular lessons dealing with stability theory) have been added to clarify the key concepts in DE theory. Nonlinear oscillation in conservative systems and Hamiltonian systems highlights basic nature of the systems considered. Perturbation techniques lesson deals in fairly d...

  12. Evaluation of inorganic matrixes as supports for immobilization of microbial lipase

    Directory of Open Access Journals (Sweden)

    Castro H.F.

    2000-01-01

    Full Text Available Candida rugosa was immobilized by physical adsorption on several inorganic supports using hexane as coupling medium. The enzymatic activities of the different derivatives were determined by both hydrolysis of olive oil and esterification of n-butanol with butyric acid. The results were compared to previous data obtained by using a controlled porous silica matrix. The goal was to contribute in searching inexpensive supports for optimum lipase performance. All supports examined exhibited good properties for binding the enzyme lipase. Zirconium phosphate was the best support, giving the highest percentage of protein fixation (86% and the highest retention of lipase activity after immobilization (34%. The operational stability performance for niobium oxide derivative was improved by previously activated the support with silane and glutaraldehyde. Thermal stabilities were also examined by thermal gravimetric analysis (TG.

  13. BETTERMENT OF THE STATE SUPPORT FOR AGRICULTURAL INSURANCE IN RUSSIA

    Directory of Open Access Journals (Sweden)

    Ludmila Yurievna Piterskaya

    2013-11-01

    Full Text Available The authors have developed some proposals on improving the procedure of determining conditions for providing a state support to insurance of agricultural crops. The author's approach has the following differential characteristics: when determining the period of investigation it is takes into account the factor of the yield cyclical; the main calculated indicator when the occurrence of an insured event is been proved is the average in agro-climatic zones coefficient of variation of the crop.DOI: http://dx.doi.org/10.12731/2218-7405-2013-7-41

  14. Expanding Suicide Crisis Services to Text and Chat.

    Science.gov (United States)

    Predmore, Zachary; Ramchand, Rajeev; Ayer, Lynsay; Kotzias, Virginia; Engel, Charles; Ebener, Patricia; Kemp, Janet E; Karras, Elizabeth; Haas, Gretchen L

    2017-07-01

    Crisis support services have historically been offered by phone-based suicide prevention hotlines, but are increasingly becoming available through alternative modalities, including Internet chat and text messaging. To better understand differences in the use of phone and chat/text services. We conducted semistructured interviews with call responders at the Veterans Crisis Line who utilize multimodal methods to respond to veterans in crisis. Responders indicated that veterans may access the chat/text service primarily for reasons that included a desire for anonymity and possible inability to use the phone. Responders were divided on whether callers and chatters presented with different issues or risk of suicide; however, they suggested that veterans frequently use chat/text to make their first contact with mental health services. We spoke with call responders, not the veterans themselves. Additionally, as this is qualitative research, applicability to other settings may be limited. While new platforms offer promise, participants also indicated that chat services can supplement phone lines, but not replace them.

  15. Text-Fabric

    NARCIS (Netherlands)

    Roorda, Dirk

    2016-01-01

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

  16. E-text

    DEFF Research Database (Denmark)

    Finnemann, Niels Ole

    2018-01-01

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

  17. THE MEDIATING ROLE OF ORGANIZATIONAL TRUST IN THE EFFECT OF PERCEIVED ORGANIZATIONAL SUPPORT ON ORGANIZATIONAL CITIZENSHIP BEHAVIOR

    Directory of Open Access Journals (Sweden)

    Ozan BÜYÜKYILMAZ

    2017-12-01

    Full Text Available This study investigates direct and indirect relationships between perceived organizational support, organizational trust and organizational citizenship behavior. The aim of the study is to determine the effect of employee perceptions of organizational support on the tendency to exhibit organizational citizenship behavior and to determine the mediating role of perceived trust in perceived organizational support and organizational citizenship behavior relationship. The data used in the study were gathered by questionnaire from 228 graduate students studying at the Karabuk University Institute of Social Sciences and at the same time working in state and private institutions. In the process of testing the hypotheses, path analysis was used in the context of structural equation modeling. As a result of the study, it was determined that organizational trust fully mediates the relationship between perceived organizational support and the dimensions of altruism, conscientiousness and sportsmanship of organizational citizenship behavior and partially mediates the relationship between perceived organizational support and the dimensions of courtesy and civic virtue of organizational citizenship behavior.

  18. 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.

  19. Self-Determination and Intellectual Disabilities: An Analysis from the Perspective of Families

    Directory of Open Access Journals (Sweden)

    Araceli ARELLANO TORRES

    2015-12-01

    Full Text Available Family context plays an important role in supporting self-determination of people with intellectual disabilities. However, research regarding this topic is still li- mited. This article presents a descriptive study that addresses the perspective of a group of parents about their children’s self-determination (n = 40. A semi-structured interview was used, in order to value certain knowledge, attitudes and strategies that can facilitate or limit self-determination skills. Families in this study mostly unknown the concept of self-determination, while value autonomy and independence as a priority educational objective. Also, they are insecure about how to support their children, and show fears. Besides, parents perceive their children as needed of protection. However, they also implemented some strategies that promote self-determination; such as providing opportunities to choose or talk about their personal characteristics. Several factors related to the distinctive features of each family, needs, or life cycle dynamics, impact on their perception of this goal. It is noted, therefore, the importance of understanding the experiences of families to meet their needs and support them as facilitators of self-determination and social inclusion of children with intellectual disabilities.

  20. Determinants and outcomes of motivation in health professions education: a systematic review based on self-determination theory

    Directory of Open Access Journals (Sweden)

    Cesar Orsini

    2016-05-01

    Full Text Available Purpose: This study aimed at conducting a systematic review in health professions education of determinants, mediators and outcomes of students’ motivation to engage in academic activities based on the self-determination theory’s perspective. Methods: A search was conducted across databases (MEDLINE, CINHAL, EMBASE, PsycINFO, and ERIC databases, hand-search of relevant journals, grey literature, and published research profile of key authors. Quantitative and qualitative studies were included if they reported research in health professions education focused on determinants, mediators, and/or outcomes of motivation from the self-determination and if meeting the quality criteria. Results: A total of 17 studies met the inclusion and quality criteria. Articles retrieved came from diverse locations and mainly from medical education and to a lesser extent from psychology and dental education. Intrapersonal (gender and personality traits and interpersonal determinants (academic conditions and lifestyle, qualitative method of selection, feedback, and an autonomy supportive learning climate have been reported to have a positive influence on students’ motivation to engage in academic activities. No studies were found that tested mediation effects between determinants and students’ motivation. In turn, students’ self-determined motivation has been found to be positively associated with different cognitive, affective, and behavioural outcomes. Conclusion: This study has found that generally, motivation could be enhanced by changes in the educational environment and by an early detection of students’ characteristics. Doing so may support future health practitioners’ self-determined motivation and positively influence how they process information and their emotions and how they approach their learning activities.

  1. Determining the Optimal Design for a New ADR Mechanical Support

    Science.gov (United States)

    Waldvogel, Kelly; Stacey, Gordon; Nikola, Thomas; Parshley, Stephen

    2018-01-01

    ZEUS-2 is a grating spectrometer that is used to observe emission lines in submillimeter wavelengths. It is capable of detecting redshifted fine structure lines of galaxies over a wide redshift range. ZEUS-2 can observe carbon, nitrogen, and oxygen lines, which will in turn allow for modeling of optically thick molecular clouds, provide information about star temperatures, and help gain insight about the interstellar medium and gases from which stars form. The detections collected by ZEUS-2 can provide a glimpse into star formation in the early universe and improve the current understanding of the star formation process.ZEUS-2 utilizes an Adiabatic Demagnetization Refrigerator (ADR) to cool its detectors to around 100 mK. Copper rods connect the salt pills within the ADR and the mechanical supports. These supports are comprised of three main pieces: a base member, an inner member, and a guard member. On two separate mechanical supports, the Kevlar strands have broken. This led to thermal contact between the three members, preventing the detector from reaching its final operating temperature. It is clear that a replacement mechanical support system is necessary for operation.

  2. Job Stress with Supervisor’s Social Support as a Determinant of Work Intrusion on Family Conflict

    Directory of Open Access Journals (Sweden)

    Azman Ismail

    2013-09-01

    Full Text Available Purpose: The primary objective of this study is to examine the influence of supervisor’s social support in the correlation between job stress and work intrusion on family conflict.Design/methodology/approach: A survey method was employed to gather survey questionnaires from academic staff in a Malaysian government university in Borneo. Findings: The outcomes of SmartPLS path model showed three major findings: first, supervisor’s social support does act as an important moderating variable in the relationship between role ambiguity and work intrusion on family conflict. Second, supervisor’s social support does not act as an important moderating variable in the relationship between role conflict and work intrusion on family conflict. Third, supervisor’s social support does not act as an important moderating variable in the relationship between role overload and work intrusion on family conflict. In sum, supervisor’s social support does act as a partial moderating variable in the hypothesized model.Practical implications: The findings of this study can be used as guidelines by management to overcome job stress problems through updating the content and methods of stress management training program, strengthening work groups and group cohesiveness in executing job, improving work-life balance programs to reduce the employee physiological and psychological stresses, revisiting the existing job designs based on the qualifications and expectations of individual employees, and  revising compensation and benefits policies and procedures to cover stress-related disorder diseases, and activating internal employee assistance programme in order to help employees and their families with problems arising from both work-related and external resources. If these suggestions are given highly attention this may increase the capability of employees to enhance the performance of institutions of higher learning.Originality/value: The role of supervisor

  3. The Interplay of Text, Meaning and Practice

    DEFF Research Database (Denmark)

    Kärreman, Dan; Levay, Charlotta

    2017-01-01

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

  4. Use of Popular Culture Texts in Mother Tongue Education

    Science.gov (United States)

    Bal, Mazhar

    2018-01-01

    The aim of this study was to associate popular culture texts with Turkish language lessons of middle school students. For this purpose, a model was proposed and a suitable curriculum was prepared for this model. It was aimed to determine how this program, which was the result of associating popular culture texts with Turkish language lesson…

  5. Writing Treatment for Aphasia: A Texting Approach

    Science.gov (United States)

    Beeson, Pelagie M.; Higginson, Kristina; Rising, Kindle

    2013-01-01

    Purpose: Treatment studies have documented the therapeutic and functional value of lexical writing treatment for individuals with severe aphasia. The purpose of this study was to determine whether such retraining could be accomplished using the typing feature of a cellular telephone, with the ultimate goal of using text messaging for…

  6. A feasibility study of mobile phone text messaging to support education and management of type 2 diabetes in Iraq.

    Science.gov (United States)

    Haddad, Nazar S; Istepanian, Robert; Philip, Nada; Khazaal, Faris A K; Hamdan, Thamer A; Pickles, Timothy; Amso, Nazar; Gregory, John W

    2014-07-01

    We undertook a feasibility study to evaluate feasibility and utility of short message services (SMSs) to support Iraqi adults with newly diagnosed type 2 diabetes. Fifty patients from a teaching hospital clinic in Basrah in the first year after diagnosis were recruited to receive weekly SMSs relating to diabetes self-management over 29 weeks. Numbers of messages received, acceptability, cost, effect on glycated hemoglobin (HbA1c), and diabetes knowledge were documented. Forty-two patients completed the study, receiving an average 22 of 28 messages. Mean knowledge score rose from 8.6 (SD 1.5) at baseline to 9.9 (SD 1.4) 6 months after receipt of SMSs (P=0.002). Baseline and 6-month knowledge scores correlated (r=0.297, P=0.049). Mean baseline HbA1c was 79 mmol/mol (SD 14 mmol/mol) (9.3% [SD 1.3%]) and decreased to 70 mmol/mol (SD 13 mmol/mol) (8.6% [SD 1.2%]) (P=0.001) 6 months after the SMS intervention. Baseline and 6-month values were correlated (r=0.898, P=0.001). Age, gender, and educational level showed no association with changes in HbA1c or knowledge score. Changes in knowledge score were correlated with postintervention HbA1c (r=-0.341, P=0.027). All patients were satisfied with text messages and wished the service to be continued after the study. The cost of SMSs was €0.065 per message. This study demonstrates SMSs are acceptable, cost-effective, and feasible in supporting diabetes care in the challenging, resource-poor environment of modern-day Iraq. This study is the first in Iraq to demonstrate similar benefits of this technology on diabetes education and management to those seen from its use in better-resourced parts of the world. A randomized controlled trial is needed to assess precise benefits on self-care and knowledge.

  7. Experiments on Supervised Learning Algorithms for Text Categorization

    Science.gov (United States)

    Namburu, Setu Madhavi; Tu, Haiying; Luo, Jianhui; Pattipati, Krishna R.

    2005-01-01

    Modern information society is facing the challenge of handling massive volume of online documents, news, intelligence reports, and so on. How to use the information accurately and in a timely manner becomes a major concern in many areas. While the general information may also include images and voice, we focus on the categorization of text data in this paper. We provide a brief overview of the information processing flow for text categorization, and discuss two supervised learning algorithms, viz., support vector machines (SVM) and partial least squares (PLS), which have been successfully applied in other domains, e.g., fault diagnosis [9]. While SVM has been well explored for binary classification and was reported as an efficient algorithm for text categorization, PLS has not yet been applied to text categorization. Our experiments are conducted on three data sets: Reuter's- 21578 dataset about corporate mergers and data acquisitions (ACQ), WebKB and the 20-Newsgroups. Results show that the performance of PLS is comparable to SVM in text categorization. A major drawback of SVM for multi-class categorization is that it requires a voting scheme based on the results of pair-wise classification. PLS does not have this drawback and could be a better candidate for multi-class text categorization.

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

    Science.gov (United States)

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

    2016-01-01

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

  9. High-efficiency Gas Cogeneration – an Assessment of the Support Mechanism

    Directory of Open Access Journals (Sweden)

    Maciej Sołtysik

    2015-09-01

    Full Text Available The development of a single European energy market implies the need to harmonise national laws and the directions of the sector’s growth to EU determinants. One of these elements was the introduction of a system to support the development of high-efficiency cogeneration, including gas cogeneration. Several years of the mechanisms’ performance allows for analysis of the advisability and correctness of the support model format, and assessment of its impact on the sub-sector’s development and the cost of its operation. Against the background of the support system introduction origins, the paper presents results of volumetric and price analyses, trends, and assessment of the balance of property rights and of the mechanism’s effectiveness.

  10. Supporting Applications Development and Operation Using IT Security and Audit Measures

    Directory of Open Access Journals (Sweden)

    Katalin Szenes

    2012-01-01

    Full Text Available The market success of the enterprises depends on the ability to support their business processes. This involves the requirement of a seamless, well-ordered operation of the whole company. Operation is greatly affected by the quality of its IT support. The information should be available, handled confidentially, preserving its integrity, have to be processed in a reliable, efficient, effective way, in compliance with the requirements of supervisory authorities. Extending the scope of these information criteria to criteria determining operations quality and adding two business-level requirements to them makes possible to find preventive, detective andcorrective, originally information security control measures, raised to the level of operational quality, that support the market success of the institutions.

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

    Science.gov (United States)

    Kucan, Linda; Palincsar, Annemarie Sullivan

    2018-01-01

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

  12. Text Maps: Helping Students Navigate Informational Texts.

    Science.gov (United States)

    Spencer, Brenda H.

    2003-01-01

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

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

    Science.gov (United States)

    Toth, Cheryl; Sacopulos, Michael J

    2015-01-01

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

  14. Text-mining-assisted biocuration workflows in Argo

    Science.gov (United States)

    Rak, Rafal; Batista-Navarro, Riza Theresa; Rowley, Andrew; Carter, Jacob; Ananiadou, Sophia

    2014-01-01

    Biocuration activities have been broadly categorized into the selection of relevant documents, the annotation of biological concepts of interest and identification of interactions between the concepts. Text mining has been shown to have a potential to significantly reduce the effort of biocurators in all the three activities, and various semi-automatic methodologies have been integrated into curation pipelines to support them. We investigate the suitability of Argo, a workbench for building text-mining solutions with the use of a rich graphical user interface, for the process of biocuration. Central to Argo are customizable workflows that users compose by arranging available elementary analytics to form task-specific processing units. A built-in manual annotation editor is the single most used biocuration tool of the workbench, as it allows users to create annotations directly in text, as well as modify or delete annotations created by automatic processing components. Apart from syntactic and semantic analytics, the ever-growing library of components includes several data readers and consumers that support well-established as well as emerging data interchange formats such as XMI, RDF and BioC, which facilitate the interoperability of Argo with other platforms or resources. To validate the suitability of Argo for curation activities, we participated in the BioCreative IV challenge whose purpose was to evaluate Web-based systems addressing user-defined biocuration tasks. Argo proved to have the edge over other systems in terms of flexibility of defining biocuration tasks. As expected, the versatility of the workbench inevitably lengthened the time the curators spent on learning the system before taking on the task, which may have affected the usability of Argo. The participation in the challenge gave us an opportunity to gather valuable feedback and identify areas of improvement, some of which have already been introduced. Database URL: http://argo.nactem.ac.uk PMID

  15. Graphic Organizers or Graphic Overviews? Presentation Order Effects with Computer-Based Text

    Science.gov (United States)

    Shaw, Shana; Nihalani, Priya; Mayrath, Michael; Robinson, Daniel H.

    2012-01-01

    It has long been assumed that graphic organizers (GOs) should be presented to students following text as an organizer, rather than preceding text as an overview. Robinson et al. ("Educational Technology Research & Development," 51(4), 25-41, 2003) challenged this assumption by finding support for GOs as an overview. The present study further…

  16. 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.

  17. Perceptions around teacher's social support with student achievement motivation

    Directory of Open Access Journals (Sweden)

    Maria Oktasari

    2017-11-01

    Full Text Available Several indications that indicate student in low achievement motivation, among others: (1 lack of enthusiasm to follow the lesson, (2 less attention to the teacher, (3 the students have not targeted yet, (4 students tend to ignore the task, (5 (6 students are less harmonious with teachers, (7 students are lazy to learn, and (8 some students feel scared with the teacher. Students 'perceptions of teacher's social support are factors that allegedly influence students' achievement motivation. This study aims to determine the relationship of students' perceptions of the social support of teachers with achievement motivation. The method used throughout this research is quantitative with regression technique. Samples numbered to 206 students of SMA Negeri 1 V Koto Timur Padang Pariaman, and selected by proportional random sampling. The instrument used is the student's perception scale of teacher's social support and achievement motivation. The research findings indicate that there is a significant correlation between around teacher's social support with student achievement motivation.

  18. Determinants of Academic Startups’ Orientation toward International Business Expansion

    Directory of Open Access Journals (Sweden)

    Shinya Suzuki

    2016-12-01

    Full Text Available This study explores the determinants of academic startups’ orientation toward international business expansion, focusing on their technological capabilities, availability of public support, the regional characteristics of their locations, and the research standards of their parent universities. Using unique survey data on 448 academic startups in Japan and by estimating an ordered logit model, we find that academic startups are strongly oriented toward expanding their businesses internationally if they have strong technological capabilities, receive public support, are established in regions with a high ratio of exporting small firms, or are affiliated with a parent university with an excellent research reputation.

  19. Comprehension of texts in Digital Format versus Printed Texts and Self-Regulated Learning in University Students

    Directory of Open Access Journals (Sweden)

    Paula Gabriela Flores-Carrasco

    2016-12-01

    Full Text Available This article aims (1 to describe the levels of self-regulation and reading comprehension of scientific expository texts; (2 to establish the relationship between self-regulation and reading comprehension; and (3 to compare the performance in comprehension when the printed media (paper or digital media (computer is used. A quasi-experimental, quantitative, descriptive and correlative design was implemented. The sample was composed of 55 university students from four careers of Education; they were in 1st and 3rd year of study at a regional university of the Council of Rectors of Chilean Universities. Three measuring instruments were used: a questionnaire of self-regulated learning and two comprehension tests based on the understanding of Parodi’s (2005 assessment model. The implementation was made in two consecutive moments; first, the self-questionnaire; then, the tests for reading comprehension in both media. With the data obtained, statistical tests of variance, one-way ANOVA, Pearson’s correlation, and means comparison with Bruner and Munzel and U-Mann Whitney’s tests were calculated. In conclusion, and different from the initial statement, it was obtained that university students have an adequate level of self-regulation and low reading comprehension in both data, even the scores are relatively lower in digital data. In both data the output is inverse to the complexity of the questions. Between 1st and 3rd year, there is no increase either in the self-regulation or in reading comprehension; but, exceptionally, the career of Primary General Education specialist on Language and History did. There is a strong relationship between reading comprehension in printed media and self-regulation (ARATEX. The support does not affect reading comprehension, but individual reading skills of the subjects do. A competent reader will have similar performance in both reading supports.

  20. Research and Design of Fixed Photovoltaic Support Structure Based on SAP2000

    Directory of Open Access Journals (Sweden)

    Wang Xingxing

    2018-01-01

    Full Text Available In the solar photovoltaic power station project, PV support is one of the main structures, and fixed photovoltaic PV support is one of the most commonly used stents. For the the actual demand in a Japanese photovoltaic power, SAP2000 finite element analysis software is used in this paper, based on Japanese Industrial Standard (JIS C 8955-2011, describing the system of fixed photovoltaic support structure design and calculation method and process. The results show that: (1 according to the general requirements of 4 rows and 5 columns fixed photovoltaic support, the typical permanent load of the PV support is 4679.4 N, the wind load being 1.05 kN/m2, the snow load being 0.89 kN/m2 and the seismic load is 5877.51 N; (2 by theoretical calculation of the two ends extended beam model, the beam span under the rail is determined 2200 mm; (3 by the way of using the single factor experiment, through the calculation and analysis of SAP2000, the three best supporting points of the support of the W stent are determined; (4 by comprehensive simulation, the optimal parameters for the rail, beam, support and bolt are 60× 60× 1.0, 60× 60× 1.0, 40× 50× 2.0, and M10 respectively.

  1. Text Mining.

    Science.gov (United States)

    Trybula, Walter J.

    1999-01-01

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

  2. Summarize to learn: summarization and visualization of text for ubiquitous learning

    DEFF Research Database (Denmark)

    Chongtay, Rocio; Last, Mark; Verbeke, Mathias

    2013-01-01

    Visualizations can stand in many relations to texts – and, as research into learning with pictures has shown, they can become particularly valuable when they transform the contents of the text (rather than just duplicate its message or structure it). But what kinds of transformations can...... be particularly helpful in the learning process? In this paper, we argue that interacting with, and creating, summaries of texts is a key transformation technique, and we investigate how textual and graphical summarization approaches, as well as automatic and manual summarization, can complement one another...... to support effective learning....

  3. Production of [Formula: see text] and [Formula: see text] in p-Pb collisions at [Formula: see text] TeV.

    Science.gov (United States)

    Adamová, D; Aggarwal, M M; Aglieri Rinella, G; Agnello, M; Agrawal, N; Ahammed, Z; Ahmad, S; Ahn, S U; Aiola, S; Akindinov, A; Alam, S N; Albuquerque, D S D; Aleksandrov, D; Alessandro, B; Alexandre, D; Alfaro Molina, R; Alici, A; Alkin, A; Alme, J; Alt, T; Altinpinar, S; Altsybeev, I; Alves Garcia Prado, C; An, M; Andrei, C; Andrews, H A; Andronic, A; Anguelov, V; Anson, C; Antičić, T; Antinori, F; Antonioli, P; Anwar, R; Aphecetche, L; Appelshäuser, H; Arcelli, S; Arnaldi, R; Arnold, O W; Arsene, I C; Arslandok, M; Audurier, B; Augustinus, A; Averbeck, R; Azmi, M D; Badalà, A; Baek, Y W; Bagnasco, S; Bailhache, R; Bala, R; Baldisseri, A; Ball, M; Baral, R C; Barbano, A M; Barbera, R; Barile, F; Barioglio, L; Barnaföldi, G G; Barnby, L S; Barret, V; Bartalini, P; Barth, K; Bartke, J; Bartsch, E; Basile, M; Bastid, N; Basu, S; Bathen, B; Batigne, G; Batista Camejo, A; Batyunya, B; Batzing, P C; Bearden, I G; Beck, H; Bedda, C; Behera, N K; Belikov, I; Bellini, F; Bello Martinez, H; Bellwied, R; Beltran, L G E; Belyaev, V; Bencedi, G; Beole, S; Bercuci, A; Berdnikov, Y; Berenyi, D; Bertens, R A; Berzano, D; Betev, L; Bhasin, A; Bhat, I R; Bhati, A K; Bhattacharjee, B; Bhom, J; Bianchi, L; Bianchi, N; Bianchin, C; Bielčík, J; Bielčíková, J; Bilandzic, A; Biro, G; Biswas, R; Biswas, S; Blair, J T; Blau, D; Blume, C; Boca, G; Bock, F; Bogdanov, A; Boldizsár, L; Bombara, M; Bonomi, G; Bonora, M; Book, J; Borel, H; Borissov, A; Borri, M; Botta, E; Bourjau, C; Braun-Munzinger, P; Bregant, M; Broker, T A; Browning, T A; Broz, M; Brucken, E J; Bruna, E; Bruno, G E; Budnikov, D; Buesching, H; Bufalino, S; Buhler, P; Buitron, S A I; Buncic, P; Busch, O; Buthelezi, Z; Butt, J B; Buxton, J T; Cabala, J; Caffarri, D; Caines, H; Caliva, A; Calvo Villar, E; Camerini, P; Capon, A A; Carena, F; Carena, W; Carnesecchi, F; Castillo Castellanos, J; Castro, A J; Casula, E A R; Ceballos Sanchez, C; Cerello, P; Chang, B; Chapeland, S; Chartier, M; Charvet, J L; Chattopadhyay, S; Chattopadhyay, S; Chauvin, A; Cherney, M; Cheshkov, C; Cheynis, B; Chibante Barroso, V; Chinellato, D D; Cho, S; Chochula, P; Choi, K; Chojnacki, M; Choudhury, S; Christakoglou, P; Christensen, C H; Christiansen, P; Chujo, T; Chung, S U; Cicalo, C; Cifarelli, L; Cindolo, F; Cleymans, J; Colamaria, F; Colella, D; Collu, A; Colocci, M; Conesa Balbastre, G; Conesa Del Valle, Z; Connors, M E; Contreras, J G; Cormier, T M; Corrales Morales, Y; Cortés Maldonado, I; Cortese, P; Cosentino, M R; Costa, F; Costanza, S; Crkovská, J; Crochet, P; Cuautle, E; Cunqueiro, L; Dahms, T; Dainese, A; Danisch, M C; Danu, A; Das, D; Das, I; Das, S; Dash, A; Dash, S; De, S; De Caro, A; de Cataldo, G; de Conti, C; de Cuveland, J; De Falco, A; De Gruttola, D; De Marco, N; De Pasquale, S; De Souza, R D; Degenhardt, H F; Deisting, A; Deloff, A; Deplano, C; Dhankher, P; Di Bari, D; Di Mauro, A; Di Nezza, P; Di Ruzza, B; Diaz Corchero, M A; Dietel, T; Dillenseger, P; Divià, R; Djuvsland, Ø; Dobrin, A; Domenicis Gimenez, D; Dönigus, B; Dordic, O; Drozhzhova, T; Dubey, A K; Dubla, A; Ducroux, L; Duggal, A K; Dupieux, P; Ehlers, R J; Elia, D; Endress, E; Engel, H; Epple, E; Erazmus, B; Erhardt, F; Espagnon, B; Esumi, S; Eulisse, G; Eum, J; Evans, D; Evdokimov, S; Fabbietti, L; Fabris, D; Faivre, J; Fantoni, A; Fasel, M; Feldkamp, L; Feliciello, A; Feofilov, G; Ferencei, J; Fernández Téllez, A; Ferreiro, E G; Ferretti, A; Festanti, A; Feuillard, V J G; Figiel, J; Figueredo, M A S; Filchagin, S; Finogeev, D; Fionda, F M; Fiore, E M; Floris, M; Foertsch, S; Foka, P; Fokin, S; Fragiacomo, E; Francescon, A; Francisco, A; Frankenfeld, U; Fronze, G G; Fuchs, U; Furget, C; Furs, A; Fusco Girard, M; Gaardhøje, J J; Gagliardi, M; Gago, A M; Gajdosova, K; Gallio, M; Galvan, C D; Gangadharan, D R; Ganoti, P; Gao, C; Garabatos, C; Garcia-Solis, E; Garg, K; Garg, P; Gargiulo, C; Gasik, P; Gauger, E F; Gay Ducati, M B; Germain, M; Ghosh, P; Ghosh, S K; Gianotti, P; Giubellino, P; Giubilato, P; Gladysz-Dziadus, E; Glässel, P; Goméz Coral, D M; Gomez Ramirez, A; Gonzalez, A S; Gonzalez, V; González-Zamora, P; Gorbunov, S; Görlich, L; Gotovac, S; Grabski, V; Graczykowski, L K; Graham, K L; Greiner, L; Grelli, A; Grigoras, C; Grigoriev, V; Grigoryan, A; Grigoryan, S; Grion, N; Gronefeld, J M; Grosa, F; Grosse-Oetringhaus, J F; Grosso, R; Gruber, L; Grull, F R; Guber, F; Guernane, R; Guerzoni, B; Gulbrandsen, K; Gunji, T; Gupta, A; Gupta, R; Guzman, I B; Haake, R; Hadjidakis, C; Hamagaki, H; Hamar, G; Hamon, J C; Harris, J W; Harton, A; Hatzifotiadou, D; Hayashi, S; Heckel, S T; Hellbär, E; Helstrup, H; Herghelegiu, A; Herrera Corral, G; Herrmann, F; Hess, B A; Hetland, K F; Hillemanns, H; Hippolyte, B; Hladky, J; Horak, D; Hosokawa, R; Hristov, P; Hughes, C; Humanic, T J; Hussain, N; Hussain, T; Hutter, D; Hwang, D S; Ilkaev, R; Inaba, M; Ippolitov, M; Irfan, M; Isakov, V; Islam, M S; Ivanov, M; Ivanov, V; Izucheev, V; Jacak, B; Jacazio, N; Jacobs, P M; Jadhav, M B; Jadlovska, S; Jadlovsky, J; Jahnke, C; Jakubowska, M J; Janik, M A; 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    2017-01-01

    The transverse momentum distributions of the strange and double-strange hyperon resonances ([Formula: see text], [Formula: see text]) produced in p-Pb collisions at [Formula: see text] TeV were measured in the rapidity range [Formula: see text] for event classes corresponding to different charged-particle multiplicity densities, [Formula: see text]d[Formula: see text]/d[Formula: see text]. The mean transverse momentum values are presented as a function of [Formula: see text]d[Formula: see text]/d[Formula: see text], as well as a function of the particle masses and compared with previous results on hyperon production. The integrated yield ratios of excited to ground-state hyperons are constant as a function of [Formula: see text]d[Formula: see text]/d[Formula: see text]. The equivalent ratios to pions exhibit an increase with [Formula: see text]d[Formula: see text]/d[Formula: see text], depending on their strangeness content.

  4. Text Mining the History of Medicine.

    Science.gov (United States)

    Thompson, Paul; Batista-Navarro, Riza Theresa; Kontonatsios, Georgios; Carter, Jacob; Toon, Elizabeth; McNaught, John; Timmermann, Carsten; Worboys, Michael; Ananiadou, Sophia

    2016-01-01

    Historical text archives constitute a rich and diverse source of information, which is becoming increasingly readily accessible, due to large-scale digitisation efforts. However, it can be difficult for researchers to explore and search such large volumes of data in an efficient manner. Text mining (TM) methods can help, through their ability to recognise various types of semantic information automatically, e.g., instances of concepts (places, medical conditions, drugs, etc.), synonyms/variant forms of concepts, and relationships holding between concepts (which drugs are used to treat which medical conditions, etc.). TM analysis allows search systems to incorporate functionality such as automatic suggestions of synonyms of user-entered query terms, exploration of different concepts mentioned within search results or isolation of documents in which concepts are related in specific ways. However, applying TM methods to historical text can be challenging, according to differences and evolutions in vocabulary, terminology, language structure and style, compared to more modern text. In this article, we present our efforts to overcome the various challenges faced in the semantic analysis of published historical medical text dating back to the mid 19th century. Firstly, we used evidence from diverse historical medical documents from different periods to develop new resources that provide accounts of the multiple, evolving ways in which concepts, their variants and relationships amongst them may be expressed. These resources were employed to support the development of a modular processing pipeline of TM tools for the robust detection of semantic information in historical medical documents with varying characteristics. We applied the pipeline to two large-scale medical document archives covering wide temporal ranges as the basis for the development of a publicly accessible semantically-oriented search system. The novel resources are available for research purposes, while

  5. Concreteness Effects in Text Recall: Dual Coding or Context Availability?

    Science.gov (United States)

    Sadoski, Mark; And Others

    1995-01-01

    Extends an earlier study by using different materials, ratings for familiarity, and more stringent experimental controls. Finds concreteness effects in two experiments using undergraduate students. Suggests that familiarity and concreteness contribute separately to recall. Supports a dual coding theory. Discusses implications for text design. (RS)

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

    CERN Document Server

    Gronefeld, Julius

    2016-09-21

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

  7. Texting to increase adolescent physical activity: Feasibility assessment

    Science.gov (United States)

    Feasibility trials assess whether a behavior change program warrants a definite trial evaluation. This paper reports the feasibility of an intervention consisting of Self Determination Theory-informed text messages, pedometers, and goal prompts to increase adolescent physical activity. A 4-group ran...

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

    Science.gov (United States)

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Niet, R; Nikitin, N; Nikodem, T; Novoselov, A; O'Hanlon, D P; Oblakowska-Mucha, A; Obraztsov, V; Ogilvy, S; Oldeman, R; Onderwater, C J G; Otalora Goicochea, J M; Otto, A; Owen, P; Oyanguren, A; Pais, P R; Palano, A; Palombo, F; Palutan, M; Panman, J; Papanestis, A; Pappagallo, M; Pappalardo, L L; Parker, W; Parkes, C; Passaleva, G; Pastore, A; Patel, G D; Patel, M; Patrignani, C; Pearce, A; Pellegrino, A; Penso, G; Pepe Altarelli, M; Perazzini, S; Perret, P; Pescatore, L; Petridis, K; Petrolini, A; Petrov, A; Petruzzo, M; Picatoste Olloqui, E; Pietrzyk, B; Pikies, M; Pinci, D; Pistone, A; Piucci, A; Playfer, S; Plo Casasus, M; Poikela, T; Polci, F; Poluektov, A; Polyakov, I; Polycarpo, E; Pomery, G J; Popov, A; Popov, D; Popovici, B; Poslavskii, S; Potterat, C; Price, E; Price, J D; Prisciandaro, J; Pritchard, A; Prouve, C; Pugatch, V; Puig Navarro, A; Punzi, G; Qian, W; Quagliani, R; Rachwal, B; Rademacker, J H; Rama, M; Ramos Pernas, M; Rangel, M S; Raniuk, I; Ratnikov, F; Raven, G; Redi, F; Reichert, S; Dos Reis, A C; Remon Alepuz, C; Renaudin, V; Ricciardi, S; Richards, S; Rihl, M; Rinnert, K; Rives Molina, V; Robbe, P; Rodrigues, A B; Rodrigues, E; Rodriguez Lopez, J A; Rodriguez Perez, P; Rogozhnikov, A; Roiser, S; Rollings, A; Romanovskiy, V; Romero Vidal, A; Ronayne, J W; Rotondo, M; Rudolph, M S; Ruf, T; Ruiz Valls, P; Saborido Silva, J J; Sadykhov, E; Sagidova, N; Saitta, B; Salustino Guimaraes, V; Sanchez Mayordomo, C; Sanmartin Sedes, B; Santacesaria, R; Santamarina Rios, C; Santimaria, M; Santovetti, E; Sarti, A; Satriano, C; Satta, A; Saunders, D M; Savrina, D; Schael, S; Schellenberg, M; Schiller, M; Schindler, H; Schlupp, M; Schmelling, M; Schmelzer, T; Schmidt, B; Schneider, O; Schopper, A; Schubert, K; Schubiger, M; Schune, M-H; Schwemmer, R; Sciascia, B; Sciubba, A; Semennikov, A; Sergi, A; Serra, N; Serrano, J; Sestini, L; Seyfert, P; Shapkin, M; Shapoval, I; Shcheglov, Y; Shears, T; Shekhtman, L; Shevchenko, V; Siddi, B G; Silva Coutinho, R; Silva de Oliveira, L; 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Venkateswaran, A; Vernet, M; Vesterinen, M; Viaud, B; Vieira, D; Vieites Diaz, M; Viemann, H; Vilasis-Cardona, X; Vitti, M; Volkov, V; Vollhardt, A; Voneki, B; Vorobyev, A; Vorobyev, V; Voß, C; de Vries, J A; Vázquez Sierra, C; Waldi, R; Wallace, C; Wallace, R; Walsh, J; Wang, J; Ward, D R; Wark, H M; Watson, N K; Websdale, D; Weiden, A; Whitehead, M; Wicht, J; Wilkinson, G; Wilkinson, M; Williams, M; Williams, M P; Williams, M; Williams, T; Wilson, F F; Wimberley, J; Wishahi, J; Wislicki, W; Witek, M; Wormser, G; Wotton, S A; Wraight, K; Wyllie, K; Xie, Y; Xing, Z; Xu, Z; Yang, Z; Yin, H; Yu, J; Yuan, X; Yushchenko, O; Zarebski, K A; Zavertyaev, M; Zhang, L; Zhang, Y; Zhang, Y; Zhelezov, A; Zheng, Y; Zhokhov, A; Zhu, X; Zhukov, V; Zucchelli, S

    2017-01-01

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

  9. Experience in working with volunteers as providers of support to victims and witnesses in victim and witness support departments at the courts

    Directory of Open Access Journals (Sweden)

    Hamer-Vidmar Nikica

    2015-01-01

    Full Text Available The aim of this paper is to present the results of a survey on the experience of engaging volunteers as providers of support for victims and witnesses in Victim and Witness Support Departments at the courts. The Independent Service for Victim and Witness Support in Ministry of Justice is responsible for the development of the victim and witness support system in Croatia. The Independent Service also coordinates the work of Victim and Witness Support Departments and develops and provides training programs and supervision for support officers and volunteers. A survey was conducted in order to determine volunteer motivation, assess the volunteers’ required qualities, their educational needs, the emotional impact arising from the work with victims and witnesses and the volunteers‘ assessment of the level of acceptance by court officials. In order to improve the level of safety of volunteers and the organization itself, the selection and educational processes for volunteers have been improved, according to both the experience achieved by working with volunteers and the results of the aforementioned survey. Engaging volunteers in the judicial system is a large step forward in the field of co-operation between the judiciary and the community.

  10. Text mining improves prediction of protein functional sites.

    Directory of Open Access Journals (Sweden)

    Karin M Verspoor

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

  11. The Model of Information Support for Management of Investment Attractiveness of Machine-Building Enterprises

    Directory of Open Access Journals (Sweden)

    Chernetska Olga V.

    2016-11-01

    Full Text Available The article discloses the content of the definition of “information support”, identifies basic approaches to the interpretation of this economic category. The main purpose of information support for management of enterprise investment attractiveness is determined. The key components of information support for management of enterprise investment attractiveness are studied. The main types of automated information systems for management of the investment attractiveness of enterprises are identified and characterized. The basic computer programs for assessing the level of investment attractiveness of enterprises are considered. A model of information support for management of investment attractiveness of machine-building enterprises is developed.

  12. Tank farms backlog soil sample and analysis results supporting a contained-in determination

    Energy Technology Data Exchange (ETDEWEB)

    Jackson, C.L., Fluor Daniel Hanford

    1997-02-27

    Soil waste is generated from Tank Farms and associated Tank Farms facilities operations. The soil is a mixed waste because it is an environmental media which contains tank waste, a listed mixed waste. The soil is designated with the listed waste codes (FOO1 through F005) which have been applied to all tank wastes. The scope of this report includes Tank Farms soil managed under the Backlog program. The Backlog Tank Farm soil in storage consists of drums and 5 boxes (originally 828 drums). The Backlog Waste Program dealt with 2276 containers of solid waste generated by Tank Farms operations during the time period from 1989 through early 1993. The containers were mismanaged by being left in the field for an extended period of time without being placed into permitted storage. As a corrective action for this situation, these containers were placed in interim storage at the Central Waste Complex (CWC) pending additional characterization. The Backlog Waste Analysis Plan (BWAP) (RL 1993) was written to define how Backlog wastes would be evaluated for proper designation and storage. The BWAP was approved in August 1993 and all work required by the BWAP was completed by July 1994. This document presents results of testing performed in 1992 & 1996 that supports the attainment of a Contained-In Determination for Tank Farm Backlog soils. The analytical data contained in this report is evaluated against a prescribed decision rule. If the decision rule is satisfied then the Washington State Department of ecology (Ecology) may grant a Contained-In Determination. A Contained-In Determination for disposal to an unlined burial trench will be requested from Ecology . The decision rule and testing requirements provided by Ecology are described in the Tank Farms Backlog Soil Sample Analysis Plan (SAP) (WHC 1996).

  13. Determinants of Subjective Emotional Well-Being and Self-Determination of Employees: Slovene Case

    Directory of Open Access Journals (Sweden)

    Šarotar Žižek Simona

    2017-12-01

    Full Text Available Work is a crucial part of human life. One should attain employees’ well-being (WB to support organisational success. In the first phase, the confirmatory factor analysis (CFA was employed to assess the dimensionality, reliability, and validity of the reflective latent constructs. In the second phase, structural equation modelling was performed to test the research hypotheses. By structural equation modelling we found that physical health (PH statistically significant negatively affects subjective emotional well-being (SEWB. Positive PH and SEWB were negatively connected. Emotional intelligence (EI has a statistically significant impact on SEWB. The last relationship in the model—between spiritual intelligence (SI and self-determination (SD—was negative, but statistically significant. Therefore, human resource management’s activities (HRM must concentrate on optimal physical/mental health, emotional (EI and spiritual (SI intelligence. Employees’ good health supports their emotional WB. Their emotional balance, based on their EI, enhances their subjective emotional WB and SD. The employees ’SI affects their SD.

  14. Center of attention: A network text analysis of American Sniper

    Directory of Open Access Journals (Sweden)

    Starling Hunter

    2016-06-01

    Full Text Available Network Text Analysis (NTA is a term used to describe a variety of software - supported methods for modeling texts as networks of concepts. In this study we apply NTA to the screenplay of American Sniper, an Academy Award nominee for Best Adapted Screenplay in 2014. Specifically, we est ablish prior expectations as to the key themes associated with war films. We then empirically test whether words associated with the most influentially - positioned nodes in the network signify themes common to the war - film genre. As predicted, we find tha t words and concepts associated with the least constrained nodes in the text network were significantly more likely to be associated with the war genre and significantly less likely to be associated with genres to which the film did not belong.

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

    Science.gov (United States)

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

    2014-10-28

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

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

    Science.gov (United States)

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Morandin, M; Morawski, P; Mordà, A; Morello, M J; Moron, J; Mountain, R; Muheim, F; Müller, K; Muresan, R; Muster, B; Naik, P; Nakada, T; Nandakumar, R; Nasteva, I; Needham, M; Neri, N; Neubert, S; Neufeld, N; Neuner, M; Nguyen, A D; Nguyen, T D; Nguyen-Mau, C; Nicol, M; Niess, V; Niet, R; Nikitin, N; Nikodem, T; Novoselov, A; Oblakowska-Mucha, A; Obraztsov, V; Oggero, S; Ogilvy, S; Okhrimenko, O; Oldeman, R; Onderwater, G; Orlandea, M; Otalora Goicochea, J M; Owen, P; Oyanguren, A; Pal, B K; Palano, A; Palombo, F; Palutan, M; Panman, J; Papanestis, A; Pappagallo, M; Parkes, C; Parkinson, C J; Passaleva, G; Patel, G D; Patel, M; Patrignani, C; Pazos Alvarez, A; Pearce, A; Pellegrino, A; Penso, G; Pepe Altarelli, M; Perazzini, S; Perez Trigo, E; Perret, P; Perrin-Terrin, M; Pescatore, L; Pesen, E; Petridis, K; Petrolini, A; Picatoste Olloqui, E; Pietrzyk, B; Pilař, T; Pinci, D; Pistone, A; Playfer, S; Plo Casasus, M; Polci, F; Polok, G; Poluektov, A; Polycarpo, E; Popov, A; Popov, D; Popovici, B; 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Seyfert, P; Shapkin, M; Shapoval, I; Shcheglov, Y; Shears, T; Shekhtman, L; Shevchenko, V; Shires, A; Silva Coutinho, R; Simi, G; Sirendi, M; Skidmore, N; Skwarnicki, T; Smith, N A; Smith, E; Smith, E; Smith, J; Smith, M; Snoek, H; Sokoloff, M D; Soler, F J P; Soomro, F; Souza, D; Souza De Paula, B; Spaan, B; Sparkes, A; Spinella, F; Spradlin, P; Stagni, F; Stahl, S; Steinkamp, O; Stenyakin, O; Stevenson, S; Stoica, S; Stone, S; Storaci, B; Stracka, S; Straticiuc, M; Straumann, U; Stroili, R; Subbiah, V K; Sun, L; Sutcliffe, W; Swientek, K; Swientek, S; Syropoulos, V; Szczekowski, M; Szczypka, P; Szilard, D; Szumlak, T; T'Jampens, S; Teklishyn, M; Tellarini, G; Teodorescu, E; Teubert, F; Thomas, C; Thomas, E; van Tilburg, J; Tisserand, V; Tobin, M; Tolk, S; Tomassetti, L; Tonelli, D; Topp-Joergensen, S; Torr, N; Tournefier, E; Tourneur, S; Tran, M T; Tresch, M; Tsaregorodtsev, A; Tsopelas, P; Tuning, N; Ubeda Garcia, M; Ukleja, A; Ustyuzhanin, A; Uwer, U; Vagnoni, V; Valenti, G; Vallier, A; Vazquez Gomez, R; Vazquez Regueiro, P; Vázquez Sierra, C; Vecchi, S; Velthuis, J J; Veltri, M; Veneziano, G; Vesterinen, M; Viaud, B; Vieira, D; Vieites Diaz, M; Vilasis-Cardona, X; Vollhardt, A; Volyanskyy, D; Voong, D; Vorobyev, A; Vorobyev, V; Voß, C; Voss, H; de Vries, J A; Waldi, R; Wallace, C; Wallace, R; Walsh, J; Wandernoth, S; Wang, J; Ward, D R; Watson, N K; Webber, A D; Websdale, D; Whitehead, M; Wicht, J; Wiedner, D; Wiggers, L; Wilkinson, G; Williams, M P; Williams, M; Wilson, F F; Wimberley, J; Wishahi, J; Wislicki, W; Witek, M; Wormser, G; Wotton, S A; Wright, S; Wu, S; Wyllie, K; Xie, Y; Xing, Z; Xu, Z; Yang, Z; Yuan, X; Yushchenko, O; Zangoli, M; Zavertyaev, M; Zhang, F; Zhang, L; Zhang, W C; Zhang, Y; Zhelezov, A; Zhokhov, A; Zhong, L; Zvyagin, A

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

  17. Analysis of stresses on the 1st phase support of the monitoring drifts of the radioactive waste repository

    Directory of Open Access Journals (Sweden)

    Hatala Jozef

    1999-09-01

    Full Text Available In the paper, the stability analysis of the radioactive waste repository monitoring drifts’ support by means of the numerical modelling - finite element method is described. The aim of this analysis was to judge to what extent the designed 1st phase support’s parameters correspond with the geomechanical conditions determined by the engineering-geological survey.

  18. Pilot study of psychotherapeutic text messaging for depression.

    Science.gov (United States)

    Pfeiffer, Paul N; Henry, Jennifer; Ganoczy, Dara; Piette, John D

    2017-08-01

    Background Text messaging services could increase access to psychotherapeutic content for individuals with depression by avoiding barriers to in-person psychotherapy such as cost, transportation, and therapist availability. Determining whether text messages reflecting different psychotherapeutic techniques exhibit differences in acceptability or effectiveness may help guide service development. Objectives We aimed to determine: (1) the feasibility of delivering a psychotherapy-based text messaging service to people with depression identified via the internet, (2) whether there is variation in satisfaction with messages according to the type of psychotherapeutic technique they represent, and (3) whether symptoms of depression vary according to receipt of each message type and participants' satisfaction with the messages they received. Methods For this study 190 US adults who screened positive for a major depressive episode (Patient Health Questionnaire (PHQ-9) score ≥10) were recruited from online advertisements. Participants received a daily psychotherapy-based text message 6 days per week for 12 weeks. Text messages were developed by a team of psychiatrists, psychologists, and social workers to reflect three psychotherapeutic approaches: acceptance and commitment therapy (ACT), behavioural activation, and cognitive restructuring. Each week the message type for the week was randomly assigned from one of the three types, allowing for repeats. Participants were asked daily to rate each message. On the 7th day of each week, participants completed a two-item depression screener (PHQ-2). Web-based surveys at baseline, 6, and 12 weeks were used as the primary measure of depressive symptoms (PHQ-9). Results Of the 190 participants enrolled, 85 (45%) completed the 6-week web survey and 67 (35%) completed the 12-week survey. The mean baseline PHQ-9 score was 19.4 (SD 4.2) and there was a statistically significant mean improvement in PHQ-9 scores of -2.9 (SD 6.0; p

  19. CrossRef text and data mining services

    Directory of Open Access Journals (Sweden)

    Rachael Lammey

    2015-02-01

    Full Text Available CrossRef is an association of scholarly publishers that develops shared infrastructure to support more effective scholarly communications. It is a registration agency for the digital object identifier (DOI, and has built additional services for CrossRef members around the DOI and the bibliographic metadata that publishers deposit in order to register DOIs for their publications. Among these services are CrossCheck, powered by iThenticate, which helps publishers screen for plagiarism in submitted manuscripts and FundRef, which gives publishers standard way to report funding sources for published scholarly research. To add to these services, Cross-Ref launched CrossRef text and data mining services in May 2014. This article will explain the thinking behind CrossRef launching this new service, what it offers to publishers and researchers alike, how publishers can participate in it, and the uptake of the service so far.

  20. Invasive physiological indices to determine the functional significance of coronary stenosis

    Directory of Open Access Journals (Sweden)

    Firas R. AL-Obaidi

    2018-03-01

    Full Text Available Physiological measurements are now commonly used to assess coronary lesions in the cardiac catheterisation laboratory, and this practice is evidence-based and supported by clinical guidelines. Fractional flow reserve is currently the gold standard method to determine whether coronary lesions are functionally significant, and is used to guide revascularization. There are however several other physiological measurements that have been proposed as alternatives to the fractional flow reserve. This review aims to comprehensively discuss physiological indices that can be used in the cardiac catheterisation laboratory to determine the functional significance of coronary lesions. We will focus on their advantages and disadvantages, and the current evidence supporting their use. Keywords: Coronary physiology, Fractional flow reserve, Resting physiological indices, Coronary flow reserve

  1. Production of K[Formula: see text](892)[Formula: see text] and [Formula: see text](1020) in p-Pb collisions at [Formula: see text] = 5.02 TeV.

    Science.gov (United States)

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Redlich, K; Reed, R J; Rehman, A; Reichelt, P; Reidt, F; Ren, X; Renfordt, R; Reolon, A R; Reshetin, A; Revol, J-P; Reygers, K; Riabov, V; Ricci, R A; Richert, T; Richter, M; Riedler, P; Riegler, W; Riggi, F; Ristea, C; Rocco, E; Rodríguez Cahuantzi, M; Rodriguez Manso, A; Røed, K; Rogochaya, E; Rohr, D; Röhrich, D; Romita, R; Ronchetti, F; Ronflette, L; Rosnet, P; Rossi, A; Roukoutakis, F; Roy, A; Roy, C; Roy, P; Rubio Montero, A J; Rui, R; Russo, R; Ryabinkin, E; Ryabov, Y; Rybicki, A; Sadovsky, S; Šafařík, K; Sahlmuller, B; Sahoo, P; Sahoo, R; Sahoo, S; Sahu, P K; Saini, J; Sakai, S; Saleh, M A; Salzwedel, J; Sambyal, S; Samsonov, V; Šándor, L; Sandoval, A; Sano, M; Sarkar, D; Sarma, P; Scapparone, E; Scarlassara, F; Schiaua, C; Schicker, R; Schmidt, C; Schmidt, H R; Schuchmann, S; Schukraft, J; Schulc, M; Schuster, T; Schutz, Y; Schwarz, K; Schweda, K; Scioli, G; Scomparin, E; Scott, R; Šefčík, M; Seger, J E; Sekiguchi, Y; Sekihata, D; Selyuzhenkov, I; Senosi, K; Senyukov, S; Serradilla, E; Sevcenco, A; Shabanov, A; Shabetai, A; Shadura, O; Shahoyan, R; Shangaraev, A; Sharma, A; Sharma, M; Sharma, M; Sharma, N; Shigaki, K; Shtejer, K; Sibiriak, Y; Siddhanta, S; Sielewicz, K M; Siemiarczuk, T; Silvermyr, D; Silvestre, C; Simatovic, G; Simonetti, G; Singaraju, R; Singh, R; Singha, S; Singhal, V; Sinha, B C; Sinha, T; Sitar, B; Sitta, M; Skaali, T B; Slupecki, M; Smirnov, N; Snellings, R J M; Snellman, T W; Søgaard, C; Song, J; Song, M; Song, Z; Soramel, F; Sorensen, S; Souza, R D de; Sozzi, F; Spacek, M; Spiriti, E; Sputowska, I; Spyropoulou-Stassinaki, M; Stachel, J; Stan, I; Stankus, P; Stefanek, G; Stenlund, E; Steyn, G; Stiller, J H; Stocco, D; Strmen, P; Suaide, A A P; Sugitate, T; Suire, C; Suleymanov, M; Suljic, M; Sultanov, R; Šumbera, M; Szabo, A; Szanto de Toledo, A; Szarka, I; Szczepankiewicz, A; Szymanski, M; Tabassam, U; Takahashi, J; Tambave, G J; Tanaka, N; Tangaro, M A; Tarhini, M; Tariq, M; Tarzila, M G; Tauro, A; Tejeda Muñoz, G; Telesca, A; Terasaki, K; Terrevoli, C; Teyssier, B; Thäder, J; Thomas, D; Tieulent, R; Timmins, A R; Toia, A; Trogolo, S; Trombetta, G; Trubnikov, V; Trzaska, W H; Tsuji, T; Tumkin, A; Turrisi, R; Tveter, T S; Ullaland, K; Uras, A; Usai, G L; Utrobicic, A; Vajzer, M; Vala, M; Valencia Palomo, L; Vallero, S; Van Der Maarel, J; Van Hoorne, J W; van Leeuwen, M; Vanat, T; Vande Vyvre, P; Varga, D; Vargas, A; Vargyas, M; Varma, R; Vasileiou, M; Vasiliev, A; Vauthier, A; Vechernin, V; Veen, A M; Veldhoen, M; Velure, A; Venaruzzo, M; Vercellin, E; Vergara Limón, S; Vernet, R; Verweij, M; Vickovic, L; Viesti, G; Viinikainen, J; Vilakazi, Z; Villalobos Baillie, O; Villatoro Tello, A; Vinogradov, A; Vinogradov, L; Vinogradov, Y; Virgili, T; Vislavicius, V; Viyogi, Y P; Vodopyanov, A; Völkl, M A; Voloshin, K; Voloshin, S A; Volpe, G; von Haller, B; Vorobyev, I; Vranic, D; Vrláková, J; Vulpescu, B; Wagner, B; Wagner, J; Wang, H; Wang, M; Watanabe, D; Watanabe, Y; Weber, M; Weber, S G; Weiser, D F; Wessels, J P; Westerhoff, U; Whitehead, A M; Wiechula, J; Wikne, J; Wilk, G; Wilkinson, J; Williams, M C S; Windelband, B; Winn, M; Yang, H; Yang, P; Yano, S; Yasar, C; Yin, Z; Yokoyama, H; Yoo, I-K; Yoon, J H; Yurchenko, V; Yushmanov, I; Zaborowska, A; Zaccolo, V; Zaman, A; Zampolli, C; Zanoli, H J C; Zaporozhets, S; Zardoshti, N; Zarochentsev, A; Závada, P; Zaviyalov, N; Zbroszczyk, H; Zgura, I S; Zhalov, M; Zhang, H; Zhang, X; Zhang, Y; Zhang, C; Zhang, Z; Zhao, C; Zhigareva, N; Zhou, D; Zhou, Y; Zhou, Z; Zhu, H; Zhu, J; Zichichi, A; Zimmermann, A; Zimmermann, M B; Zinovjev, G; Zyzak, M

    The production of K[Formula: see text](892)[Formula: see text] and [Formula: see text](1020) mesons has been measured in p-Pb collisions at [Formula: see text][Formula: see text] 5.02 TeV. K[Formula: see text] and [Formula: see text] are reconstructed via their decay into charged hadrons with the ALICE detector in the rapidity range [Formula: see text]. The transverse momentum spectra, measured as a function of the multiplicity, have a p[Formula: see text] range from 0 to 15 GeV/ c for K[Formula: see text] and from 0.3 to 21 GeV/ c for [Formula: see text]. Integrated yields, mean transverse momenta and particle ratios are reported and compared with results in pp collisions at [Formula: see text][Formula: see text] 7 TeV and Pb-Pb collisions at [Formula: see text][Formula: see text] 2.76 TeV. In Pb-Pb and p-Pb collisions, K[Formula: see text] and [Formula: see text] probe the hadronic phase of the system and contribute to the study of particle formation mechanisms by comparison with other identified hadrons. For this purpose, the mean transverse momenta and the differential proton-to-[Formula: see text] ratio are discussed as a function of the multiplicity of the event. The short-lived K[Formula: see text] is measured to investigate re-scattering effects, believed to be related to the size of the system and to the lifetime of the hadronic phase.

  2. Automated detection of follow-up appointments using text mining of discharge records.

    Science.gov (United States)

    Ruud, Kari L; Johnson, Matthew G; Liesinger, Juliette T; Grafft, Carrie A; Naessens, James M

    2010-06-01

    To determine whether text mining can accurately detect specific follow-up appointment criteria in free-text hospital discharge records. Cross-sectional study. Mayo Clinic Rochester hospitals. Inpatients discharged from general medicine services in 2006 (n = 6481). Textual hospital dismissal summaries were manually reviewed to determine whether the records contained specific follow-up appointment arrangement elements: date, time and either physician or location for an appointment. The data set was evaluated for the same criteria using SAS Text Miner software. The two assessments were compared to determine the accuracy of text mining for detecting records containing follow-up appointment arrangements. Agreement of text-mined appointment findings with gold standard (manual abstraction) including sensitivity, specificity, positive predictive and negative predictive values (PPV and NPV). About 55.2% (3576) of discharge records contained all criteria for follow-up appointment arrangements according to the manual review, 3.2% (113) of which were missed through text mining. Text mining incorrectly identified 3.7% (107) follow-up appointments that were not considered valid through manual review. Therefore, the text mining analysis concurred with the manual review in 96.6% of the appointment findings. Overall sensitivity and specificity were 96.8 and 96.3%, respectively; and PPV and NPV were 97.0 and 96.1%, respectively. of individual appointment criteria resulted in accuracy rates of 93.5% for date, 97.4% for time, 97.5% for physician and 82.9% for location. Text mining of unstructured hospital dismissal summaries can accurately detect documentation of follow-up appointment arrangement elements, thus saving considerable resources for performance assessment and quality-related research.

  3. Healthcare Text Classification System and its Performance Evaluation: A Source of Better Intelligence by Characterizing Healthcare Text.

    Science.gov (United States)

    Srivastava, Saurabh Kumar; Singh, Sandeep Kumar; Suri, Jasjit S

    2018-04-13

    A machine learning (ML)-based text classification system has several classifiers. The performance evaluation (PE) of the ML system is typically driven by the training data size and the partition protocols used. Such systems lead to low accuracy because the text classification systems lack the ability to model the input text data in terms of noise characteristics. This research study proposes a concept of misrepresentation ratio (MRR) on input healthcare text data and models the PE criteria for validating the hypothesis. Further, such a novel system provides a platform to amalgamate several attributes of the ML system such as: data size, classifier type, partitioning protocol and percentage MRR. Our comprehensive data analysis consisted of five types of text data sets (TwitterA, WebKB4, Disease, Reuters (R8), and SMS); five kinds of classifiers (support vector machine with linear kernel (SVM-L), MLP-based neural network, AdaBoost, stochastic gradient descent and decision tree); and five types of training protocols (K2, K4, K5, K10 and JK). Using the decreasing order of MRR, our ML system demonstrates the mean classification accuracies as: 70.13 ± 0.15%, 87.34 ± 0.06%, 93.73 ± 0.03%, 94.45 ± 0.03% and 97.83 ± 0.01%, respectively, using all the classifiers and protocols. The corresponding AUC is 0.98 for SMS data using Multi-Layer Perceptron (MLP) based neural network. All the classifiers, the best accuracy of 91.84 ± 0.04% is shown to be of MLP-based neural network and this is 6% better over previously published. Further we observed that as MRR decreases, the system robustness increases and validated by standard deviations. The overall text system accuracy using all data types, classifiers, protocols is 89%, thereby showing the entire ML system to be novel, robust and unique. The system is also tested for stability and reliability.

  4. Random effects coefficient of determination for mixed and meta-analysis models.

    Science.gov (United States)

    Demidenko, Eugene; Sargent, James; Onega, Tracy

    2012-01-01

    The key feature of a mixed model is the presence of random effects. We have developed a coefficient, called the random effects coefficient of determination, [Formula: see text], that estimates the proportion of the conditional variance of the dependent variable explained by random effects. This coefficient takes values from 0 to 1 and indicates how strong the random effects are. The difference from the earlier suggested fixed effects coefficient of determination is emphasized. If [Formula: see text] is close to 0, there is weak support for random effects in the model because the reduction of the variance of the dependent variable due to random effects is small; consequently, random effects may be ignored and the model simplifies to standard linear regression. The value of [Formula: see text] apart from 0 indicates the evidence of the variance reduction in support of the mixed model. If random effects coefficient of determination is close to 1 the variance of random effects is very large and random effects turn into free fixed effects-the model can be estimated using the dummy variable approach. We derive explicit formulas for [Formula: see text] in three special cases: the random intercept model, the growth curve model, and meta-analysis model. Theoretical results are illustrated with three mixed model examples: (1) travel time to the nearest cancer center for women with breast cancer in the U.S., (2) cumulative time watching alcohol related scenes in movies among young U.S. teens, as a risk factor for early drinking onset, and (3) the classic example of the meta-analysis model for combination of 13 studies on tuberculosis vaccine.

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

    Science.gov (United States)

    Cosgrove, Cornelius

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

  6. Technique, muscle activity and kinematic differences in young adults texting on mobile phones.

    Science.gov (United States)

    Gustafsson, Ewa; Johnson, Peter W; Lindegård, Agneta; Hagberg, Mats

    2011-05-01

    The aim of this study was to investigate whether there are differences in technique between young adults with and without musculoskeletal symptoms when using a mobile phone for texting and whether there are differences in muscle activity and kinematics between different texting techniques. A total of 56 young adults performed a standardised texting task on a mobile phone. Their texting techniques were registered using an observation protocol. The muscular activity in six muscles in the right forearm/hand and both shoulders were registered by surface electromyography and the thumb abduction/adduction and flexion/extension were registered using a biaxial electrogoniometer. Differences in texting techniques were found between the symptomatic and the asymptomatic group, with a higher proportion of sitting with back support and forearm support and with a neutral head position in the asymptomatic group. Differences in muscle activity and kinematics were also found between different texting techniques. The differences in texting technique between symptomatic and asymptomatic subjects cannot be explained by them having symptoms but may be a possible contribution to their symptoms. STATEMENT OF RELEVANCE: There has been a dramatically increased use of mobile phones for texting especially among young people during the last years. A better understanding of the physical exposure associated with the intensive use is important in order to prevent the development of musculoskeletal disorders and decreased work ability related to this use.

  7. Documents and legal texts

    International Nuclear Information System (INIS)

    2013-01-01

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

  8. A Comparison of Two Strategies for Teaching Third Graders to Summarize Information Text

    Science.gov (United States)

    Dromsky, Ann Marie

    2011-01-01

    Summarizing text is one of the most effective comprehension strategies (National Institute of Child Health and Human Development, 2000) and an effective way to learn from information text (Dole, Duffy, Roehler, & Pearson, 1991; Pressley & Woloshyn, 1995). In addition, much research supports the explicit instruction of such strategies as…

  9. Online Support Groups for Depression

    Directory of Open Access Journals (Sweden)

    Louise Breuer

    2015-04-01

    Full Text Available This mixed-methods study aimed to explore the initial process of engagement with an online support group (OSG for depression. Fifteen British National Health Service patients experiencing depression who had not previously used an OSG for depression were offered facilitated access to an existing peer-to-peer OSG for 10 weeks. Pre- and post-measures of depression, social support, and self-stigma were taken in addition to a weekly measure of OSG usage. A follow-up qualitative interview was conducted with a subsample of nine participants. Depression and self-stigma reduced over the 10-week period, but perceived social support did not change. There was no evidence of adverse outcomes. Perceived benefits of OSG participation included connection to others, normalization of depression, and stigma reduction. However, engagement with the OSG was generally low. Barriers included concerns over causing harm to others or being harmed oneself, feeling different from others in the group, and fears of being judged by others. OSGs may potentially reduce depressive symptoms and perceived self-stigma. However, considerable barriers may hinder people with depression from engaging with OSGs. Further work is needed to determine who will benefit most from participating in OSGs for depression and how best to facilitate engagement.

  10. A RESEARCH ON THE EFFECT OF ORGANIZATIONAL CLIMATE ON PERCEPTION OF SUPPORT FOR INNOVATION

    Directory of Open Access Journals (Sweden)

    GÖNÜL KAYA ÖZBAĞ

    2013-06-01

    Full Text Available The management of organizational climate is fairly important in terms of improving innovation in organizations. For that reason, the aim of this study is to investigate the effects of organizational climate dimensions (organizational encouragement, supervisory support, team support, otonomy, participation flexibility and communication on perception of support for innovation. Here the aim is trying to help administrators by determining the factors that increase or prevent innovation. Data obtained from 86 enterprises that are operating in Kocaeli is used in order to analyze the relationships among variables. After factor analysis, data is tested through correlation analysis and regression analysis. The findings of research indicate that organizational climate dimensions affect perception of support for innovation.

  11. Unmet Supportive Care Needs among Breast Cancer Survivors of Community-Based Support Group in Kuching, Sarawak

    Directory of Open Access Journals (Sweden)

    Emmanuel Joseph Fong

    2016-01-01

    Full Text Available Background. Recognizing the needs of cancer survivors is one of the important aspects in healthcare delivery. This study aimed to determine the prevalence of unmet supportive care needs and its associated factors among the breast cancer survivors of community-based support group in Kuching, Sarawak. Materials and Methods. This was a cross-sectional study using Supportive Care Needs Survey (SCNS-SF34. All the members of community-based breast cancer support groups in Kuching were invited. A total of 101 respondents were face-to-face interviewed after the consent was obtained. Data was entered and analyzed using SPSS version 20. Results. The respondents endorsed health system and information domain with the highest mean score (2.48; 95% CI: 2.32–2.64. Top 10 items with “moderate to high” level unmet needs had a prevalence of 14.9% to 34.7% of respondents indicating need. Significantly higher level of unmet needs was associated with survivors who were younger (less than 60 years old, had higher education attainment, were unemployed, had survival duration of up to 5 years, and were undergoing active treatment. Conclusion. Systematic delivery of health information which is targeted, culturally sensitive, and linguistically appropriate for addressing younger age, education level, employment status, length of survivorship, and treatment stage should be considered not only at hospital-based setting but also at the community-based support groups.

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

    CERN Document Server

    Rao, K Sreenivasa

    2012-01-01

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

  13. Sodium dodecyl sulfate coated γ-alumina support modified by a new Schiff base for solid phase extraction and flame-AAS determination of lead and copper ions

    Directory of Open Access Journals (Sweden)

    Ardeshir Shokrollahi

    2013-01-01

    Full Text Available A simple and fast approach for solid phase extraction is herein described, and used to determine trace amounts of Pb2+ and Cu2+ metal ions. The solid phase support is sodium dodecyl sulfate (SDS-coated γ-alumina modified with bis(2-hydroxy acetophenone-1,6-hexanediimine (BHAH ligand. The adsorbed ions were stripped from the solid phase by 6 mL of 4 M nitric acid as eluent. The eluting solution was analyzed by flame atomic absorption spectrometry (FAAS. The sorption recovery of metal ions was investigated with regard to the effects of pH, amount of ligand, γ-alumina and surfactant and the amount and type of eluent. Complexation of BHAH with Pb2+ or Cu2+ ions was examined via spectrophotometry using the HypSpec program. The detection limit for Cu2+ was 7.9 µg L-1 with a relative standard deviation of 1.67%, while that for Pb2+ was 6.4 µg L-1 with a relative standard deviation of 1.64%. A preconcentration factor of 100 was achieved for these ions. The method was successfully applied to determine analyte concentrations in samples of liver, parsley, cabbage, and water.

  14. Analysis Of Aspects Of Messages Hiding In Text Environments

    Directory of Open Access Journals (Sweden)

    Afanasyeva Olesya

    2015-09-01

    Full Text Available In the work are researched problems, which arise during hiding of messages in text environments, being transmitted by electronic communication channels and the Internet. The analysis of selection of places in text environment (TE, which can be replaced by word from the message is performed. Selection and replacement of words in the text environment is implemented basing on semantic analysis of text fragment, consisting of the inserted word, and its environment in TE. For implementation of such analysis is used concept of semantic parameters of words coordination and semantic value of separate word. Are used well-known methods of determination of values of these parameters. This allows moving from quality level to quantitative level analysis of text fragments semantics during their modification by word substitution. Invisibility of embedded messages is ensured by providing preset values of the semantic cooperation parameter deviations.

  15. Detective text of post-modernism: precedential phenomena as linguacultural markers of intertexuality

    Directory of Open Access Journals (Sweden)

    Tuova Ruzana Hamedovna

    2015-12-01

    Full Text Available Detective postmodern text is characterized by active functioning of gaming modality, which is partly responsible for its inclusion in the semantic space of precedent phenomena. Precedential phenomena mark elements of linguaculture and intertextuality as one of the important features of the postmodern age. Dual transformation, which is subjected to precedent phenomena determines ultimately receptive-interpretive activity of the reader: producing text simulates certain perception through the signs of the text of the addresser and the recipient creates a new text according to their own ideas about the text-addresser and the author’s vision. Polyfunctionality of postmodern text is determined by the presence in it of precedent phenomena and polyvariety of interpretations of detective texts due to the interaction with the case genre that is reflected in the author’s game with meanings. Game modality focused on comic effect by binding the text and contrasting concepts, which helps the recipient to render artistic images, characters and plot situations, strengthening the vitality of precedent phenomena. In detective novels by Boris Akunin texts and precedent names are widely used, provoking the reader to intellectual activity and, thus, involving in the interpretation of the text of its common cultural postmodern experience.

  16. VisualUrText: A Text Analytics Tool for Unstructured Textual Data

    Science.gov (United States)

    Zainol, Zuraini; Jaymes, Mohd T. H.; Nohuddin, Puteri N. E.

    2018-05-01

    The growing amount of unstructured text over Internet is tremendous. Text repositories come from Web 2.0, business intelligence and social networking applications. It is also believed that 80-90% of future growth data is available in the form of unstructured text databases that may potentially contain interesting patterns and trends. Text Mining is well known technique for discovering interesting patterns and trends which are non-trivial knowledge from massive unstructured text data. Text Mining covers multidisciplinary fields involving information retrieval (IR), text analysis, natural language processing (NLP), data mining, machine learning statistics and computational linguistics. This paper discusses the development of text analytics tool that is proficient in extracting, processing, analyzing the unstructured text data and visualizing cleaned text data into multiple forms such as Document Term Matrix (DTM), Frequency Graph, Network Analysis Graph, Word Cloud and Dendogram. This tool, VisualUrText, is developed to assist students and researchers for extracting interesting patterns and trends in document analyses.

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

    Directory of Open Access Journals (Sweden)

    Ramakrishnan Cartic

    2012-05-01

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

  18. 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)

  19. Text-Speak: Its Influence on the English Spelling Skills

    Directory of Open Access Journals (Sweden)

    Nancy A. Arellano

    2015-11-01

    Full Text Available This study aimed to determine the perceived influence of texting on the English spelling skills of the Teacher Education students of the West Visayas State University – Janiuay Campus (WVSU-JC. It likewise aimed to determine the significant differences on the influence of texting on the English spelling skills of the students when they were grouped as to sex, course and year level and to ascertain the significant relationship between the students’ perceived influence of texting and their performance in English spelling. This study utilized the descriptive method in describing how texting or text messaging influenced the English spelling ability of WVSU-JC Teacher Education students. Two hundred five (205 randomly selected Teacher Education students were utilized as respondents of the study. Researcher-made instruments such as English spelling test and a questionnaire checklist that described the influence of texting on the English spelling skills of the students were used to gather data. Means and standard deviation were used to describe the influence of texting on the English spelling skills of the students. The t-test and ANOVA were used to assess the significant differences on the influence of texting on the respondents’ English spelling skills and Pearson’s-r correlation was used to test the significant relationship between the students’ perceived influence of texting and their performance in English spelling. Results revealed that there was no significant relationship between the Teacher Education students’ perceived influence of texting and performance on their English spelling test and that texting moderately influence the English spelling skills of the Teacher Education students when the respondents were taken as an entire group and as to sex, course and year level. The English spelling skills of the Teacher Education students were good when the respondents were taken as an entire group and when the respondents were grouped

  20. Crying in Context: Understanding Associations With Interpersonal Dependency and Social Support

    Directory of Open Access Journals (Sweden)

    Katherine L. Fiori

    2013-06-01

    Full Text Available This study examines the associations among interpersonal dependency, social support, and crying proneness, since crying is a behavior that is particularly relevant to the affiliative interpersonal goals characterizing maladaptive forms of dependency (Keltner & Kring, 1998. Data were collected from 305 first-year university students (M age = 18 years. A series of hierarchical linear regressions, controlling for gender, commuting status, romantic relationship status, stress, loneliness, and depressive symptoms, partially supported our hypotheses. That is, we found that a measure of maladaptive dependency (destructive overdependence, or DO and crying proneness were positively correlated, and that DO moderated the associations between social support and crying proneness. Specifically, we found that social support and crying were more closely positively associated among individuals high on DO compared to individuals low on DO. Our findings imply that interpersonal dependency may be an important factor in understanding individual differences in crying, and in determining whether crying is a successful elicitor of social support.

  1. Text Mining Improves Prediction of Protein Functional Sites

    Science.gov (United States)

    Cohn, Judith D.; Ravikumar, Komandur E.

    2012-01-01

    We present an approach that integrates protein structure analysis and text mining for protein functional site prediction, called LEAP-FS (Literature Enhanced Automated Prediction of Functional Sites). The structure analysis was carried out using Dynamics Perturbation Analysis (DPA), which predicts functional sites at control points where interactions greatly perturb protein vibrations. The text mining extracts mentions of residues in the literature, and predicts that residues mentioned are functionally important. We assessed the significance of each of these methods by analyzing their performance in finding known functional sites (specifically, small-molecule binding sites and catalytic sites) in about 100,000 publicly available protein structures. The DPA predictions recapitulated many of the functional site annotations and preferentially recovered binding sites annotated as biologically relevant vs. those annotated as potentially spurious. The text-based predictions were also substantially supported by the functional site annotations: compared to other residues, residues mentioned in text were roughly six times more likely to be found in a functional site. The overlap of predictions with annotations improved when the text-based and structure-based methods agreed. Our analysis also yielded new high-quality predictions of many functional site residues that were not catalogued in the curated data sources we inspected. We conclude that both DPA and text mining independently provide valuable high-throughput protein functional site predictions, and that integrating the two methods using LEAP-FS further improves the quality of these predictions. PMID:22393388

  2. Read-Aloud Accommodations, Expository Text, and Adolescents with Learning Disabilities

    Science.gov (United States)

    Meyer, Nancy K.; Bouck, Emily C.

    2017-01-01

    Adolescents with learning disabilities in reading have difficulties with reading and understanding difficult gradelevel curricular material. One frequently used method of support is using read-aloud accommodations, which can be live read-alouds or text-to-speech (TTS) read-alouds. A single case alternating treatment design was used to examine the…

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

    Science.gov (United States)

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

    2012-05-28

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

  4. Changing Network Support for Drinking: Network Support Project 2-Year Follow-up

    Science.gov (United States)

    Litt, Mark D.; Kadden, Ronald M.; Kabela-Cormier, Elise; Petry, Nancy M.

    2009-01-01

    The Network Support Project was designed to determine whether a treatment could lead patients to change their social network from one that supports drinking to one that supports sobriety. This study reports 2-year posttreatment outcomes. Alcohol-dependent men and women (N = 210) were randomly assigned to 1 of 3 outpatient treatment conditions:…

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

    CERN Document Server

    Biemann, Chris

    2014-01-01

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

  6. Intra and interpersonal determinants for relapse in drug addicts

    Directory of Open Access Journals (Sweden)

    Aline Cristina Zerwes Ferreira

    2016-03-01

    Full Text Available A descriptive qualitative research conducted with 20 drug addicts during treatment at a Center of Psychosocial Attention for Alcohol and other Drugs, aimed to identify intra and interpersonal determinants of relapse perceived by the drug addict. The data were collected through semi-structured interviews, submitted to Content Analysis, and organized into categories following predictive determinants for relapse. The relapse occurred by intrapersonal determinants, as self-efficacy expressed by self-confidence in interrupting the drug consumption; the result expectation by anticipation of pleasurable drug effects; the motivation by the absence of volition to interrupt the consumption; coping with the difficulty to confront daily problems; negative and positive emotional states; and craving. Interpersonal determinants expressed by social support were related to the influence of thirds. The identification of these determinants during treatment to favor relapse prevention and effective rehabilitation.

  7. Promoting the Understanding of Photosynthesis among Elementary School Student Teachers through Text Design

    Science.gov (United States)

    Södervik, Ilona; Mikkilä-Erdmann, Mirjamaija; Vilppu, Henna

    2014-01-01

    The purpose of this study was to investigate elementary school pre-service teachers' understanding of photosynthesis and to examine if a refutational text can support understanding of photosynthesis better than a non-refutational text. A total of 91 elementary school pre-service teachers read either a refutational or a non-refutational text…

  8. "I've Known Rivers": A Reflection on the Synergy of Multigenre, Multimodal Texts

    Science.gov (United States)

    Richter, Elizabeth

    2016-01-01

    In this article an elementary literacy specialist reflects on the use of multigenre, multimodal texts to support the teaching of poetry. She explores the synergy between poetry and related informational, visual, and auditory texts to afford deeper insights into the poem and the poet, in this instance, the poem, "The Negro Speaks of…

  9. A Text Analysis of the Marine Corps Fitness Report

    Science.gov (United States)

    2017-06-01

    43 3. Support Vector Machine .............................................................44 4. Boosting ...demonstrated below: Original text “#1 captain in the battalion. MRO is one of the most talented and gifted minds we have in the Marine Corps. He is a...officer, place in billets where the Corps needs are best and brightest. Finally, there is no doubt in my mind , this officer’s will and should be

  10. Nine Unpublished Texts in the Collection of the British Museum

    Czech Academy of Sciences Publication Activity Database

    Alivernini, Sergio

    -, č. 1 (2017) E-ISSN 1540-8760 Institutional support: RVO:68378009 Keywords : Sumerian * Ur III * administrative texts Subject RIV: AB - History OBOR OECD: History (history of science and technology to be 6.3, history of specific sciences to be under the respective headings) https://cdli.ucla.edu/files/ publications /cdlb2017_001.pdf

  11. Beyond accuracy: creating interoperable and scalable text-mining web services.

    Science.gov (United States)

    Wei, Chih-Hsuan; Leaman, Robert; Lu, Zhiyong

    2016-06-15

    The biomedical literature is a knowledge-rich resource and an important foundation for future research. With over 24 million articles in PubMed and an increasing growth rate, research in automated text processing is becoming increasingly important. We report here our recently developed web-based text mining services for biomedical concept recognition and normalization. Unlike most text-mining software tools, our web services integrate several state-of-the-art entity tagging systems (DNorm, GNormPlus, SR4GN, tmChem and tmVar) and offer a batch-processing mode able to process arbitrary text input (e.g. scholarly publications, patents and medical records) in multiple formats (e.g. BioC). We support multiple standards to make our service interoperable and allow simpler integration with other text-processing pipelines. To maximize scalability, we have preprocessed all PubMed articles, and use a computer cluster for processing large requests of arbitrary text. Our text-mining web service is freely available at http://www.ncbi.nlm.nih.gov/CBBresearch/Lu/Demo/tmTools/#curl : Zhiyong.Lu@nih.gov. Published by Oxford University Press 2016. This work is written by US Government employees and is in the public domain in the US.

  12. Social-Support, Self-Esteem and Depression as Determinants of ...

    African Journals Online (AJOL)

    This study examined the influence of social support, self-esteem and depression on the quality of life among sickle cell patients in Benin City. A total of 52 sickle cell patients made up of 29 males and 23 females participated in the study. Questionnaire was used in collecting data. The questionnaire consisted of the ...

  13. Reading Strategies Used by Iranian EFL Learners While Reading Academic Texts

    Directory of Open Access Journals (Sweden)

    Vida Yousefian

    2015-11-01

    Full Text Available The major aim of this study was to explore the nature and frequency of the reading strategies used by the EFL learners while reading academic texts. Normally, students tend to read all the information provided in reading materials. This study explores whether learners use reading strategies to assist them in reading comprehension. There was a sample of 45 English language (EFL learners from Islamic Azad University, Falavarjan Branch. The instrument utilized in this study was a survey questionnaire with 30 items including 13 global reading strategies, 8 problem solving strategies and 9 support reading strategies. The survey was going to signify how much EFL learners use each of these strategies while reading academic texts. The findings indicated that the participants used global reading strategies more (44.5% than problem solving strategies (29.0% and support reading strategies (26.5%. The results of the present study will let the instructors improve the reading strategies which are not used by EFL learners frequently. It also helps learners to promote the ability of using reading strategies and utilize the strategies in an appropriate and effective way.

  14. Translation Memory and Computer Assisted Translation Tool for Medieval Texts

    Directory of Open Access Journals (Sweden)

    Törcsvári Attila

    2013-05-01

    Full Text Available Translation memories (TMs, as part of Computer Assisted Translation (CAT tools, support translators reusing portions of formerly translated text. Fencing books are good candidates for using TMs due to the high number of repeated terms. Medieval texts suffer a number of drawbacks that make hard even “simple” rewording to the modern version of the same language. The analyzed difficulties are: lack of systematic spelling, unusual word orders and typos in the original. A hypothesis is made and verified that even simple modernization increases legibility and it is feasible, also it is worthwhile to apply translation memories due to the numerous and even extremely long repeated terms. Therefore, methods and algorithms are presented 1. for automated transcription of medieval texts (when a limited training set is available, and 2. collection of repeated patterns. The efficiency of the algorithms is analyzed for recall and precision.

  15. The Effect of Concept Mapping To Enhance Text Comprehension and Summarization.

    Science.gov (United States)

    Chang, Kuo-En; Sung, Yao-Ting; Chen, Ine-Dai

    2002-01-01

    Tested the learning effects of a concept-mapping strategy by studying three such approaches (map correction, scaffold fading, and map generation) to determine their effects on students' text comprehension and summarization abilities. Results with 126 fifth graders show that the map correction method enhanced text comprehension and summarization,…

  16. Categorization of Survey Text Utilizing Natural Language Processing and Demographic Filtering

    Science.gov (United States)

    2017-09-01

    primary topics into bins using more traditional visual text mining methods including Latent Dirichlet Allocation (LDA) (Blei, Ng, & Jordan, 2003...traditional visual text mining methods to identify primary topics among the comments. Once labels are determined, we use them to choose words or phrases...tm: Text Mining Package. Retrieved from https://CRAN.R-project.org/package=tm Grün, B., & Hornik, K. (2011). topicmodels: An R package for fitting

  17. Studies Regarding the Membranous Support of a Glucose Biosensor Based on Gox

    Directory of Open Access Journals (Sweden)

    Otilia Bizerea-Spiridon

    2010-05-01

    Full Text Available To obtain glucose biosensors based on glucose oxidase (GOx, the enzyme can be immobilized on the sensitive surface of a glass electrode by different techniques: deposition on membranous support (cellophane or other macromolecular material or entrapment in a matrix. Deposition on membranous support also involves cross-linking with glutaraldehyde or entrapment in silica gel, following the sol-gel procedure. The aim of this preliminary work was to study the influence of cellophane replacement with a PVA based membranous support on the glucose biosensor performance. The data obtained at pH measurements of buffer solutions with cellophane and PVA membranous supports respectively, show that the PVA based membrane assures superior performances of the biosensor for low glucose concentrations determination (about 10-4 M. These results allow the transition to an improved immobilization technique, namely the enzyme entrapment in membranous material.

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

    NARCIS (Netherlands)

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

    2014-01-01

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

  19. LocText

    DEFF Research Database (Denmark)

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

    2018-01-01

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

  20. Determinants of a successful problem list to support the implementation of the problem-oriented medical record according to recent literature.

    Science.gov (United States)

    Simons, Sereh M J; Cillessen, Felix H J M; Hazelzet, Jan A

    2016-08-02

    A problem-oriented approach is one of the possibilities to organize a medical record. The problem-oriented medical record (POMR) - a structured organization of patient information per presented medical problem- was introduced at the end of the sixties by Dr. Lawrence Weed to aid dealing with the multiplicity of patient problems. The problem list as a precondition is the centerpiece of the problem-oriented medical record (POMR) also called problem-oriented record (POR). Prior to the digital era, paper records presented a flat list of medical problems to the healthcare professional without the features that are possible with current technology. In modern EHRs a POMR based on a structured problem list can be used for clinical decision support, registries, order management, population health, and potentially other innovative functionality in the future, thereby providing a new incentive to the implementation and use of the POMR. On both 12 May 2014 and 1 June 2015 a systematic literature search was conducted. From the retrieved articles statements regarding the POMR and related to successful or non-successful implementation, were categorized. Generic determinants were extracted from these statements. In this research 38 articles were included. The literature analysis led to 12 generic determinants: clinical practice/reasoning, complete and accurate problem list, data structure/content, efficiency, functionality, interoperability, multi-disciplinary, overview of patient information, quality of care, system support, training of staff, and usability. Two main subjects can be distinguished in the determinants: the system that the problem list and POMR is integrated in and the organization using that system. The combination of the two requires a sociotechnical approach and both are equally important for successful implementation of a POMR. All the determinants have to be taken into account, but the weight given to each of the determinants depends on the organizationusing

  1. Simulation from the first principal theory on the effect of supporting silica on graphene and the new composite material

    CSIR Research Space (South Africa)

    Kiarii, EM

    2017-07-01

    Full Text Available Silica has been used as support material with many photocatalytic materials. In this study, silica polymorphs on graphene and epoxy graphene were studied using Density Functional Theory (DFT) to determine the interfacial and optical properties...

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

    Science.gov (United States)

    Dalamu, Taofeek

    2016-01-01

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

  3. Schematizing and Processing Informational Texts with Mind Maps in Fifth and Sixth Grade

    Science.gov (United States)

    Merchie, Emmelien; Van Keer, Hilde

    2013-01-01

    From the age of 11-13, children start to spend increasingly more time on learning from texts. The need arises to support them in dealing with this text information and engaging them in self-regulated learning (SRL). This study is embedded within the cognitive component of SRL and focuses on mind mapping as a promising organizational learning…

  4. Relevancy of mathematical support for geophysics determinations

    Science.gov (United States)

    Vîlceanu, Clara-Beatrice; Grecea, Carmen; Muşat, Cosmin

    2017-07-01

    The importance of gravity in geodesy is recognized even since the 16th century. Starting with the experiments and theories of Galileo Galilei, the gravity and its global variation has continued to play an important role for those preoccupied with measuring the Earth's surface. The benefits of Physical Geodesy (studying the Earth's gravitational field) are extended to other disciplines such as Seismology, Oceanography, Volcanology etc. The aim of the present paper consists in highlighting the connection between gravity and the geodesist's profession. This was possible only throughout an extended study of Physical Geodesy realized with the support given by the International Gravity Office, Military Topographic Direction, The National Centre of Cartography and different specialists from these domains. Gravity represents the main factor which influences the Earth's shape and dimensions and when it comes to geodetic measurements, the gravity and its influence upon the measurements realized by specialists in geodesy has to be considered.

  5. Oxidation of CO and Methanol on Pd-Ni Catalysts Supported on Different Chemically-Treated Carbon Nanofibers

    Directory of Open Access Journals (Sweden)

    Juan Carlos Calderón

    2016-10-01

    Full Text Available In this work, palladium-nickel nanoparticles supported on carbon nanofibers were synthesized, with metal contents close to 25 wt % and Pd:Ni atomic ratios near to 1:2. These catalysts were previously studied in order to determine their activity toward the oxygen reduction reaction. Before the deposition of metals, the carbon nanofibers were chemically treated in order to generate oxygen and nitrogen groups on their surface. Transmission electron microscopy analysis (TEM images revealed particle diameters between 3 and 4 nm, overcoming the sizes observed for the nanoparticles supported on carbon black (catalyst Pd-Ni CB 1:2. From the CO oxidation at different temperatures, the activation energy Eact for this reaction was determined. These values indicated a high tolerance of the catalysts toward the CO poisoning, especially in the case of the catalysts supported on the non-chemically treated carbon nanofibers. On the other hand, apparent activation energy Eap for the methanol oxidation was also determined finding—as a rate determining step—the COads diffusion to the OHads for the catalysts supported on carbon nanofibers. The results here presented showed that the surface functional groups only play a role in the obtaining of lower particle sizes, which is an important factor in the obtaining of low CO oxidation activation energies.

  6. Additive Manufacturing of Overhang Structures Using Moisture-Cured Silicone with Support Material

    Directory of Open Access Journals (Sweden)

    Mohan Muthusamy

    2018-04-01

    Full Text Available Additive manufacturing (AM of soft materials has a wide variety of applications, such as customized or wearable devices. Silicone is one popular material for these applications given its favorable material properties. However, AM of silicone parts with overhang structures remains challenging due to the soft nature of the material. Overhang structures are the areas where there is no underlying structure. Typically, a support material is used and built in the underlying space so that the overhang structures can be built upon it. Currently, there is no support structure that has been used for AM of silicone. The goal of this study is to develop an AM process to fabricate silicone parts with overhang structures. We first identified and confirmed poly-vinyl alcohol (PVA, a water-soluble material, as a suitable support material for silicone by evaluating the adhesion strength between silicone and PVA. Process parameters for the support material, including critical overhang angle and minimum infill density for the support material, are identified. However, overhang angle alone is not the only determining factor for support material. As silicone is a soft material, it deflects due to its own weight when the height of the overhang structure increases. A finite element model is developed to estimate the critical overhang height paired with different overhang angles to determine whether the use of support material is needed. Finally, parts with overhang structures are printed to demonstrate the capability of the developed process.

  7. Effectiveness of Conceptual Change Texts: A Meta Analysis

    Science.gov (United States)

    Armagan, Fulya Öner; Keskin, Melike Özer; Akin, Beril Salman

    2017-01-01

    The purpose of this study was to determine the overall effectiveness of conceptual change texts (CCTs) on academic achievement and to find out if effectiveness was related to some characteristics of the study. It followed up a Meta-analysis research approach. 42 published and unpublished studies, published between 1995 and 2010, and 42 experiment…

  8. Contextual Text Mining

    Science.gov (United States)

    Mei, Qiaozhu

    2009-01-01

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

  9. Relational support in families with adolescents

    NARCIS (Netherlands)

    Branje, S.J.T.; Aken, M.A.G. van; Lieshout, C.F.M. van

    2002-01-01

    To better understand what determines the support that family members perceive in dyadic family relationships, this study tested to what extent the perceiver, the partner, their specific relationship, and the family determine perceived support, and Whether these effects differ for horizontal (i.e.,

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

    Science.gov (United States)

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

    2010-09-15

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

  11. Tolerance to uncertainty in the context of social support:gender specificity in the youth environment

    Directory of Open Access Journals (Sweden)

    Dmitry V. Lifintsev

    2017-06-01

    Full Text Available The paper presents the results of a study of social support for young males and females, and also its relationship with tolerance of uncertainty. A series of psychodiagnostic tools were used to study gender determinants of social support, tolerance of uncertainty and interpersonal intolerance in young people with different levels of emotional and instrumental support. Young males and females aged 18–22 years with a high level of tolerance of uncertainty are susceptible to various forms of social support. The ability to accept uncertainty, to function in the system of unclear interpersonal communication and to act in the face of changing circumstances determine the level of satisfaction with social support in the participants. The research (N=165 confirmed the assumption that first and foremost social support as a communicative phenomenon has differences in the perception of emotional forms in young males and females. Secondly, the specific features of person functioning in the social supporting act system are interrelated, including the level of tolerance of uncertainty. Thirdly, social support can reduce human state of uncertainty and eventually neutralize the negative impact of stressful events. The human ability to «see and discover» the social support, be sensitive and attentive to the supporting acts of social environment has a close relationship with the ability to accept uncertainty and maintain stability in a state of discomfort if any.

  12. Production of [Formula: see text] and [Formula: see text] in proton-proton collisions at [Formula: see text] 7 TeV.

    Science.gov (United States)

    Abelev, B; Adam, J; Adamová, D; Aggarwal, M M; Rinella, G Aglieri; Agnello, M; Agostinelli, A; Agrawal, N; Ahammed, Z; Ahmad, N; Ahmed, I; Ahn, S U; Ahn, S A; Aimo, I; Aiola, S; Ajaz, M; Akindinov, A; Alam, S N; Aleksandrov, D; Alessandro, B; Alexandre, D; Alici, A; Alkin, A; Alme, J; Alt, T; Altinpinar, S; Altsybeev, I; Alves Garcia Prado, C; Andrei, C; Andronic, A; Anguelov, V; Anielski, J; Antičić, T; Antinori, F; Antonioli, P; Aphecetche, L; Appelshäuser, H; Arcelli, S; Armesto, N; Arnaldi, R; Aronsson, T; Arsene, I C; Arslandok, M; Augustinus, A; Averbeck, R; Awes, T C; Azmi, M D; Bach, M; Badalà, A; Baek, Y W; Bagnasco, S; Bailhache, R; Bala, R; Baldisseri, A; Baltasar Dos Santos Pedrosa, F; Baral, R C; Barbera, R; Barile, F; Barnaföldi, G G; Barnby, L S; Barret, V; Bartke, J; Basile, M; Bastid, N; Basu, S; Bathen, B; Batigne, G; Batista Camejo, A; Batyunya, B; Batzing, P C; Baumann, C; Bearden, I G; Beck, H; Bedda, C; Behera, N K; Belikov, I; Bellini, F; Bellwied, R; Belmont-Moreno, E; Belmont, R; Belyaev, V; Bencedi, G; Beole, S; Berceanu, I; Bercuci, A; Berdnikov, Y; Berenyi, D; Berger, M E; Bertens, R A; Berzano, D; Betev, L; Bhasin, A; Bhat, I R; Bhati, A K; Bhattacharjee, B; Bhom, J; Bianchi, L; Bianchi, N; Bianchin, C; Bielčík, J; Bielčíková, J; Bilandzic, A; Bjelogrlic, S; Blanco, F; Blau, D; Blume, C; Bock, F; Bogdanov, A; Bøggild, H; Bogolyubsky, M; Böhmer, F V; Boldizsár, L; Bombara, M; Book, J; Borel, H; Borissov, A; Bossú, F; Botje, M; Botta, E; Böttger, S; Braun-Munzinger, P; Bregant, M; Breitner, T; Broker, T A; Browning, T A; Broz, M; Bruna, E; Bruno, G E; Budnikov, D; Buesching, H; Bufalino, S; Buncic, P; Busch, O; Buthelezi, Z; Caffarri, D; Cai, X; Caines, H; Calero Diaz, L; Caliva, A; Calvo Villar, E; Camerini, P; Carena, F; Carena, W; Castillo Castellanos, J; Casula, E A R; Catanescu, V; Cavicchioli, C; Ceballos Sanchez, C; Cepila, J; Cerello, P; Chang, B; Chapeland, S; Charvet, J L; Chattopadhyay, S; Chattopadhyay, S; Chelnokov, V; Cherney, M; Cheshkov, C; Cheynis, B; Chibante Barroso, V; Chinellato, D D; Chochula, P; Chojnacki, M; Choudhury, S; Christakoglou, P; Christensen, C H; Christiansen, P; Chujo, T; Chung, S U; Cicalo, C; Cifarelli, L; Cindolo, F; Cleymans, J; Colamaria, F; Colella, D; Collu, A; Colocci, M; Conesa Balbastre, G; Conesa Del Valle, Z; Connors, M E; Contreras, J G; Cormier, T M; Corrales Morales, Y; Cortese, P; Cortés Maldonado, I; Cosentino, M R; Costa, F; Crochet, P; Cruz Albino, R; Cuautle, E; Cunqueiro, L; Dainese, A; Dang, R; Danu, A; Das, D; Das, I; Das, K; Das, S; Dash, A; Dash, S; De, S; Delagrange, H; Deloff, A; Dénes, E; D'Erasmo, G; De Caro, A; de Cataldo, G; de Cuveland, J; De Falco, A; De Gruttola, D; De Marco, N; De Pasquale, S; de Rooij, R; Diaz Corchero, M A; Dietel, T; Dillenseger, P; Divià, R; Di Bari, D; Di Liberto, S; Di Mauro, A; Di Nezza, P; Djuvsland, Ø; Dobrin, A; Dobrowolski, T; Domenicis Gimenez, D; Dönigus, B; Dordic, O; Dørheim, S; Dubey, A K; Dubla, A; Ducroux, L; Dupieux, P; Dutta Majumdar, A K; Hilden, T E; Ehlers, R J; Elia, D; Engel, H; Erazmus, B; Erdal, H A; Eschweiler, D; Espagnon, B; Esposito, M; Estienne, M; Esumi, S; Evans, D; Evdokimov, S; Fabris, D; Faivre, J; Falchieri, D; Fantoni, A; Fasel, M; Fehlker, D; Feldkamp, L; Felea, D; Feliciello, A; Feofilov, G; Ferencei, J; Fernández Téllez, A; Ferreiro, E G; Ferretti, A; Festanti, A; Figiel, J; Figueredo, M A S; Filchagin, S; Finogeev, D; Fionda, F M; Fiore, E M; Floratos, E; Floris, M; Foertsch, S; Foka, P; Fokin, S; Fragiacomo, E; Francescon, A; Frankenfeld, U; Fuchs, U; Furget, C; Furs, A; Fusco Girard, M; Gaardhøje, J J; Gagliardi, M; Gago, A M; Gallio, M; Gangadharan, D R; Ganoti, P; Gao, C; Garabatos, C; Garcia-Solis, E; Gargiulo, C; Garishvili, I; Gerhard, J; Germain, M; Gheata, A; Gheata, M; Ghidini, B; Ghosh, P; Ghosh, S K; Gianotti, P; Giubellino, P; Gladysz-Dziadus, E; Glässel, P; Gomez Ramirez, A; González-Zamora, P; Gorbunov, S; Görlich, L; Gotovac, S; Graczykowski, L K; Grelli, A; Grigoras, A; Grigoras, C; Grigoriev, V; Grigoryan, A; Grigoryan, S; Grinyov, B; Grion, N; Grosse-Oetringhaus, J F; Grossiord, J-Y; Grosso, R; Guber, F; Guernane, R; Guerzoni, B; Guilbaud, M; Gulbrandsen, K; Gulkanyan, H; Gumbo, M; Gunji, T; Gupta, A; Gupta, R; Khan, K H; Haake, R; Haaland, Ø; Hadjidakis, C; Haiduc, M; Hamagaki, H; Hamar, G; Hanratty, L D; Hansen, A; Harris, J W; Hartmann, H; Harton, A; Hatzifotiadou, D; Hayashi, S; Heckel, S T; Heide, M; Helstrup, H; Herghelegiu, A; Herrera Corral, G; Hess, B A; Hetland, K F; Hippolyte, B; Hladky, J; Hristov, P; Huang, M; Humanic, T J; Hussain, N; Hussain, T; Hutter, D; Hwang, D S; Ilkaev, R; Ilkiv, I; Inaba, M; Innocenti, G M; Ionita, C; Ippolitov, M; Irfan, M; Ivanov, M; Ivanov, V; Jachołkowski, A; Jacobs, P M; Jahnke, C; Jang, H J; Janik, M A; Jayarathna, P H S Y; Jena, C; Jena, S; Jimenez Bustamante, R T; Jones, P G; Jung, H; Jusko, A; Kadyshevskiy, V; Kalinak, P; Kalweit, A; Kamin, J; Kang, J H; Kaplin, V; Kar, S; Karasu Uysal, A; Karavichev, O; Karavicheva, T; Karpechev, E; Kebschull, U; Keidel, R; Keijdener, D L D; Svn, M Keil; Khan, M M; Khan, P; Khan, S A; Khanzadeev, A; Kharlov, Y; Kileng, B; Kim, B; Kim, D W; Kim, D J; Kim, J S; Kim, M; Kim, M; Kim, S; Kim, T; Kirsch, S; Kisel, I; Kiselev, S; Kisiel, A; Kiss, G; Klay, J L; Klein, J; Klein-Bösing, C; Kluge, A; Knichel, M L; Knospe, A G; Kobdaj, C; Kofarago, M; Köhler, M K; Kollegger, T; Kolojvari, A; Kondratiev, V; Kondratyeva, N; Konevskikh, A; Kovalenko, V; Kowalski, M; Kox, S; Koyithatta Meethaleveedu, G; Kral, J; Králik, I; Kravčáková, A; Krelina, M; Kretz, M; Krivda, M; Krizek, F; Kryshen, E; Krzewicki, M; Kučera, V; Kucheriaev, Y; Kugathasan, T; Kuhn, C; Kuijer, P G; Kulakov, I; Kumar, J; Kurashvili, P; Kurepin, A; Kurepin, A B; Kuryakin, A; Kushpil, S; Kweon, M J; Kwon, Y; Ladron de Guevara, P; Lagana Fernandes, C; Lakomov, I; Langoy, R; Lara, C; Lardeux, A; Lattuca, A; La Pointe, S L; La Rocca, P; Lea, R; Leardini, L; Lee, G R; Legrand, I; Lehnert, J; Lemmon, R C; Lenti, V; Leogrande, E; Leoncino, M; León Monzón, I; Lévai, P; Li, S; Lien, J; Lietava, R; Lindal, S; Lindenstruth, V; Lippmann, C; Lisa, M A; Ljunggren, H M; Lodato, D F; Loenne, P I; Loggins, V R; Loginov, V; Lohner, D; Loizides, C; Lopez, X; López Torres, E; Lu, X-G; Luettig, P; Lunardon, M; Luparello, G; Ma, R; Maevskaya, A; Mager, M; Mahapatra, D P; Mahmood, S M; Maire, A; Majka, R D; Malaev, M; Maldonado Cervantes, I; Malinina, L; Mal'Kevich, D; Malzacher, P; Mamonov, A; Manceau, L; Manko, V; Manso, F; Manzari, V; Marchisone, M; Mareš, J; Margagliotti, G V; Margotti, A; Marín, A; Markert, C; Marquard, M; Martashvili, I; Martin, N A; Martinengo, P; Martínez, M I; Martínez García, G; Martin Blanco, J; Martynov, Y; Mas, A; Masciocchi, S; Masera, M; Masoni, A; Massacrier, L; Mastroserio, A; Matyja, A; Mayer, C; Mazer, J; Mazzoni, M A; Meddi, F; Menchaca-Rocha, A; Meninno, E; Mercado Pérez, J; Meres, M; Miake, Y; Mikhaylov, K; Milano, L; Milosevic, J; Mischke, A; Mishra, A N; Miśkowiec, D; Mitra, J; Mitu, C M; Mlynarz, J; Mohammadi, N; Mohanty, B; Molnar, L; Montaño Zetina, L; Montes, E; Morando, M; Moreira De Godoy, D A; Moretto, S; Morreale, A; Morsch, A; Muccifora, V; Mudnic, E; Mühlheim, D; Muhuri, S; Mukherjee, M; Müller, H; Munhoz, M G; Murray, S; Musa, L; Musinsky, J; Nandi, B K; Nania, R; Nappi, E; Nattrass, C; Nayak, K; Nayak, T K; Nazarenko, S; Nedosekin, A; Nicassio, M; Niculescu, M; Niedziela, J; Nielsen, B S; Nikolaev, S; Nikulin, S; Nikulin, V; Nilsen, B S; Noferini, F; Nomokonov, P; Nooren, G; Norman, J; Nyanin, A; Nystrand, J; Oeschler, H; Oh, S; Oh, S K; Okatan, A; Okubo, T; Olah, L; Oleniacz, J; Oliveira Da Silva, A C; Onderwaater, J; Oppedisano, C; Ortiz Velasquez, A; Oskarsson, A; Otwinowski, J; Oyama, K; Ozdemir, M; Sahoo, P; Pachmayer, Y; Pachr, M; Pagano, P; Paić, G; Pajares, C; Pal, S K; Palmeri, A; Pant, D; Papikyan, V; Pappalardo, G S; Pareek, P; Park, W J; Parmar, S; Passfeld, A; Patalakha, D I; Paticchio, V; Paul, B; Pawlak, T; Peitzmann, T; Pereira Da Costa, H; Pereira De Oliveira Filho, E; Peresunko, D; Pérez Lara, C E; Pesci, A; Peskov, V; Pestov, Y; Petráček, V; Petran, M; Petris, M; Petrovici, M; Petta, C; Piano, S; Pikna, M; Pillot, P; Pinazza, O; Pinsky, L; Piyarathna, D B; Płoskoń, M; Planinic, M; Pluta, J; Pochybova, S; Podesta-Lerma, P L M; Poghosyan, M G; Pohjoisaho, E H O; Polichtchouk, B; Poljak, N; Pop, A; Porteboeuf-Houssais, S; Porter, J; Potukuchi, B; Prasad, S K; Preghenella, R; Prino, F; Pruneau, C A; Pshenichnov, I; Puccio, M; Puddu, G; Pujahari, P; Punin, V; Putschke, J; Qvigstad, H; Rachevski, A; Raha, S; Rajput, S; Rak, J; Rakotozafindrabe, A; Ramello, L; Raniwala, R; Raniwala, S; Räsänen, S S; Rascanu, B T; Rathee, D; Rauf, A W; Razazi, V; Read, K F; Real, J S; Redlich, K; Reed, R J; Rehman, A; Reichelt, P; Reicher, M; Reidt, F; Renfordt, R; Reolon, A R; Reshetin, A; Rettig, F; Revol, J-P; Reygers, K; Riabov, V; Ricci, R A; Richert, T; Richter, M; Riedler, P; Riegler, W; Riggi, F; Rivetti, A; Rocco, E; Rodríguez Cahuantzi, M; Rodriguez Manso, A; Røed, K; Rogochaya, E; Rohni, S; Rohr, D; Röhrich, D; Romita, R; Ronchetti, F; Ronflette, L; Rosnet, P; Rossi, A; Roukoutakis, F; Roy, A; Roy, C; Roy, P; Rubio Montero, A J; Rui, R; Russo, R; Ryabinkin, E; Ryabov, Y; Rybicki, A; Sadovsky, S; Šafařík, K; Sahlmuller, B; Sahoo, R; Sahu, P K; Saini, J; Sakai, S; Salgado, C A; Salzwedel, J; Sambyal, S; Samsonov, V; Sanchez Castro, X; Sánchez Rodríguez, F J; Šándor, L; Sandoval, A; Sano, M; Santagati, G; Sarkar, D; Scapparone, E; Scarlassara, F; Scharenberg, R P; Schiaua, C; Schicker, R; Schmidt, C; Schmidt, H R; Schuchmann, S; Schukraft, J; Schulc, M; Schuster, T; Schutz, Y; Schwarz, K; Schweda, K; Scioli, G; Scomparin, E; Scott, R; Segato, G; Seger, J E; Sekiguchi, Y; Selyuzhenkov, I; Senosi, K; Seo, J; Serradilla, E; Sevcenco, A; Shabetai, A; Shabratova, G; Shahoyan, R; Shangaraev, A; Sharma, A; Sharma, N; Sharma, S; Shigaki, K; Shtejer, K; Sibiriak, Y; Siddhanta, S; Siemiarczuk, T; Silvermyr, D; Silvestre, C; Simatovic, G; Singaraju, R; Singh, R; Singha, S; Singhal, V; Sinha, B C; Sinha, T; Sitar, B; Sitta, M; Skaali, T B; Skjerdal, K; Slupecki, M; Smirnov, N; Snellings, R J M; Søgaard, C; Soltz, R; Song, J; Song, M; Soramel, F; Sorensen, S; Spacek, M; Spiriti, E; Sputowska, I; Spyropoulou-Stassinaki, M; Srivastava, B K; Stachel, J; Stan, I; Stefanek, G; Steinpreis, M; Stenlund, E; Steyn, G; Stiller, J H; Stocco, D; Stolpovskiy, M; Strmen, P; Suaide, A A P; Sugitate, T; Suire, C; Suleymanov, M; Sultanov, R; Šumbera, M; Symons, T J M; Szabo, A; Szanto de Toledo, A; Szarka, I; Szczepankiewicz, A; Szymanski, M; Takahashi, J; Tangaro, M A; Tapia Takaki, J D; Tarantola Peloni, A; Tarazona Martinez, A; Tariq, M; Tarzila, M G; Tauro, A; Tejeda Muñoz, G; Telesca, A; Terasaki, K; Terrevoli, C; Thäder, J; Thomas, D; Tieulent, R; Timmins, A R; Toia, A; Trubnikov, V; Trzaska, W H; Tsuji, T; Tumkin, A; Turrisi, R; Tveter, T S; Ullaland, K; Uras, A; Usai, G L; Vajzer, M; Vala, M; Valencia Palomo, L; Vallero, S; Vande Vyvre, P; Van Der Maarel, J; Van Hoorne, J W; van Leeuwen, M; Vargas, A; Vargyas, M; Varma, R; Vasileiou, M; Vasiliev, A; Vechernin, V; Veldhoen, M; Velure, A; Venaruzzo, M; Vercellin, E; Vergara Limón, S; Vernet, R; Verweij, M; Vickovic, L; Viesti, G; Viinikainen, J; Vilakazi, Z; Villalobos Baillie, O; Vinogradov, A; Vinogradov, L; Vinogradov, Y; Virgili, T; Vislavicius, V; Viyogi, Y P; Vodopyanov, A; Völkl, M A; Voloshin, K; Voloshin, S A; Volpe, G; von Haller, B; Vorobyev, I; Vranic, D; Vrláková, J; Vulpescu, B; Vyushin, A; Wagner, B; Wagner, J; Wagner, V; Wang, M; Wang, Y; Watanabe, D; Weber, M; Weber, S G; Wessels, J P; Westerhoff, U; Wiechula, J; Wikne, J; Wilde, M; Wilk, G; Wilkinson, J; Williams, M C S; Windelband, B; Winn, M; Yaldo, C G; Yamaguchi, Y; Yang, H; Yang, P; Yang, S; Yano, S; Yasnopolskiy, S; Yi, J; Yin, Z; Yoo, I-K; Yushmanov, I; Zaccolo, V; Zach, C; Zaman, A; Zampolli, C; Zaporozhets, S; Zarochentsev, A; Závada, P; Zaviyalov, N; Zbroszczyk, H; Zgura, I S; Zhalov, M; Zhang, H; Zhang, X; Zhang, Y; Zhao, C; Zhigareva, N; Zhou, D; Zhou, F; Zhou, Y; Zhuo, Zhou; Zhu, H; Zhu, J; Zhu, X; Zichichi, A; Zimmermann, A; Zimmermann, M B; Zinovjev, G; Zoccarato, Y; Zyzak, M

    The production of the strange and double-strange baryon resonances ([Formula: see text], [Formula: see text]) has been measured at mid-rapidity ([Formula: see text][Formula: see text]) in proton-proton collisions at [Formula: see text] [Formula: see text] 7 TeV with the ALICE detector at the LHC. Transverse momentum spectra for inelastic collisions are compared to QCD-inspired models, which in general underpredict the data. A search for the [Formula: see text] pentaquark, decaying in the [Formula: see text] channel, has been carried out but no evidence is seen.

  13. Text mining approach to predict hospital admissions using early medical records from the emergency department.

    Science.gov (United States)

    Lucini, Filipe R; S Fogliatto, Flavio; C da Silveira, Giovani J; L Neyeloff, Jeruza; Anzanello, Michel J; de S Kuchenbecker, Ricardo; D Schaan, Beatriz

    2017-04-01

    Emergency department (ED) overcrowding is a serious issue for hospitals. Early information on short-term inward bed demand from patients receiving care at the ED may reduce the overcrowding problem, and optimize the use of hospital resources. In this study, we use text mining methods to process data from early ED patient records using the SOAP framework, and predict future hospitalizations and discharges. We try different approaches for pre-processing of text records and to predict hospitalization. Sets-of-words are obtained via binary representation, term frequency, and term frequency-inverse document frequency. Unigrams, bigrams and trigrams are tested for feature formation. Feature selection is based on χ 2 and F-score metrics. In the prediction module, eight text mining methods are tested: Decision Tree, Random Forest, Extremely Randomized Tree, AdaBoost, Logistic Regression, Multinomial Naïve Bayes, Support Vector Machine (Kernel linear) and Nu-Support Vector Machine (Kernel linear). Prediction performance is evaluated by F1-scores. Precision and Recall values are also informed for all text mining methods tested. Nu-Support Vector Machine was the text mining method with the best overall performance. Its average F1-score in predicting hospitalization was 77.70%, with a standard deviation (SD) of 0.66%. The method could be used to manage daily routines in EDs such as capacity planning and resource allocation. Text mining could provide valuable information and facilitate decision-making by inward bed management teams. Copyright © 2017 Elsevier Ireland Ltd. All rights reserved.

  14. THE THEORY OF DEVELOPMENT OF SUPPORTED METAL-COMPLEX CATALYSTS

    Directory of Open Access Journals (Sweden)

    T. L. Rakitskaya

    2015-06-01

    Full Text Available Some results of the investigations for the purpose of development of supported metal-complex catalysts for phosphine and carbon monoxide oxidation as well as for ozone decomposition are summarized. The activity of such catalysts has been found to depend not only on a nature of a central atom and ligands but also on a nature of supports. The theoretical model explaining mechanisms of surface complex formation taking into account the influence of physicochemical and structural-adsorption properties of the supports (SiO2, Al2O3, carbon materials, zeolites, dispersed silicas, lamellar aluminosilicates, etc. has been proposed. For quantitative description of the support effect, such a thermodynamic parameter as the adsorbed water activity assignable with the help of water vapor adsorption isotherms has been introduced. Successive stability constants of the surface metal complexes have been calculated by the kinetic method and, hence, compositions and partial catalytic activity of the latter have been determined. Taking into account the competitive adsorption of metal ions on the supports, some schemes of formation of surface bimetallic complexes have been suggested. The compositions of the supported metal-complex catalysts have been optimized to meet requirements of their use in respirators and plants for air purification from foregoing gaseous toxicants.

  15. A tm Plug-In for Distributed Text Mining in R

    Directory of Open Access Journals (Sweden)

    Stefan Theussl

    2012-11-01

    Full Text Available R has gained explicit text mining support with the tm package enabling statisticians to answer many interesting research questions via statistical analysis or modeling of (text corpora. However, we typically face two challenges when analyzing large corpora: (1 the amount of data to be processed in a single machine is usually limited by the available main memory (i.e., RAM, and (2 the more data to be analyzed the higher the need for efficient procedures for calculating valuable results. Fortunately, adequate programming models like MapReduce facilitate parallelization of text mining tasks and allow for processing data sets beyond what would fit into memory by using a distributed file system possibly spanning over several machines, e.g., in a cluster of workstations. In this paper we present a plug-in package to tm called tm.plugin.dc implementing a distributed corpus class which can take advantage of the Hadoop MapReduce library for large scale text mining tasks. We show on the basis of an application in culturomics that we can efficiently handle data sets of significant size.

  16. Access to information technology and willingness to receive text ...

    African Journals Online (AJOL)

    Over the past decade, new technologies and methods of communication have ... To determine access to information technology and willingness to receive short message service (SMS) text message reminders for childhood immunisation .... Table 1 shows the attitude of the mothers towards reminders for immunisations.

  17. Improving text comprehension strategies in reading and listening settings

    NARCIS (Netherlands)

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

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

  18. Access to information technology and willingness to receive text ...

    African Journals Online (AJOL)

    Background. Effective communication is imperative for the delivery and receipt of adequate health care services. Aim. To determine access to information technology and willingness to receive short message service (SMS) text message reminders for childhood immunisation services among mothers in Lagos, Nigeria.

  19. Motivating learning, performance, and persistence: the synergistic effects of intrinsic goal contents and autonomy-supportive contexts.

    Science.gov (United States)

    Vansteenkiste, Maarten; Simons, Joke; Lens, Willy; Sheldon, Kennon M; Deci, Edward L

    2004-08-01

    Three field experiments with high school and college students tested the self-determination theory hypotheses that intrinsic (vs. extrinsic) goals and autonomy-supportive (vs. controlling) learning climates would improve students' learning, performance, and persistence. The learning of text material or physical exercises was framed in terms of intrinsic (community, personal growth, health) versus extrinsic (money, image) goals, which were presented in an autonomy-supportive versus controlling manner. Analyses of variance confirmed that both experimentally manipulated variables yielded main effects on depth of processing, test performance, and persistence (all ps intrinsic goals and autonomy support were present. Effects were significantly mediated by autonomous motivation.

  20. Determination of diffuse double layer protonation constants for hydrous ferric oxide (HFO): supporting evidence for the Dzombak and Morel compilation

    CSIR Research Space (South Africa)

    Pretorius, PJ

    1998-01-01

    Full Text Available of the experimental system suggests that titration points below pH 4 should not be used for the determination of protonation constants because of potential HFO dissolution. Surface protonation constant, PZC and binding site estimates agree excellently with currently...

  1. Texting during stair negotiation and implications for fall risk.

    Science.gov (United States)

    Hashish, Rami; Toney-Bolger, Megan E; Sharpe, Sarah S; Lester, Benjamin D; Mulliken, Adam

    2017-10-01

    Walking requires the integration of the sensory and motor systems. Cognitive distractions have been shown to interfere with negotiation of complex walking environments, especially in populations at greater risk for falls (e.g. the elderly). With the pervasiveness of mobile messaging and the recent introduction of augmented reality mobile gaming, it is increasingly important to understand how distraction associated with the simultaneous use of a mobile device impacts navigation of the complex walking environments experienced in daily life. In this study, we investigated how gait kinematics were altered when participants performed a texting task during step negotiation. Twenty participants (13 female, 7 males) performed a series of walking trials involving a step-deck obstacle, consisting of at least 3 texting trials and 3 non-texting trials. When texting, participants ascended more slowly and demonstrated reduced dual-step foot toe clearance. Participants similarly descended more slowly when texting and demonstrated reduced single-step foot heel clearance as well as reduced dual-step foot fore-aft heel clearance. These data support the conclusion that texting during stair negotiation results in changes to gait kinematics that may increase the potential for gait disruptions, falls, and injury. Further research should examine the effect texting has on performing other common complex locomotor tasks, actual fall risk, and the patterns of resulting injury rate and severity when negotiating complex environments. Copyright © 2017 Elsevier B.V. All rights reserved.

  2. Map Feature Content and Text Recall of Good and Poor Readers.

    Science.gov (United States)

    Amlund, Jeanne T.; And Others

    1985-01-01

    Reports two experiments evaluating the effect of map feature content on text recall by subjects of varying reading skill levels. Finds that both experiments support the conjoint retention hypothesis, in which dual-coding of spatial and verbal information and their interaction in memory enhance recall. (MM)

  3. Script-independent text line segmentation in freestyle handwritten documents.

    Science.gov (United States)

    Li, Yi; Zheng, Yefeng; Doermann, David; Jaeger, Stefan; Li, Yi

    2008-08-01

    Text line segmentation in freestyle handwritten documents remains an open document analysis problem. Curvilinear text lines and small gaps between neighboring text lines present a challenge to algorithms developed for machine printed or hand-printed documents. In this paper, we propose a novel approach based on density estimation and a state-of-the-art image segmentation technique, the level set method. From an input document image, we estimate a probability map, where each element represents the probability that the underlying pixel belongs to a text line. The level set method is then exploited to determine the boundary of neighboring text lines by evolving an initial estimate. Unlike connected component based methods ( [1], [2] for example), the proposed algorithm does not use any script-specific knowledge. Extensive quantitative experiments on freestyle handwritten documents with diverse scripts, such as Arabic, Chinese, Korean, and Hindi, demonstrate that our algorithm consistently outperforms previous methods [1]-[3]. Further experiments show the proposed algorithm is robust to scale change, rotation, and noise.

  4. Text mixing shapes the anatomy of rank-frequency distributions

    Science.gov (United States)

    Williams, Jake Ryland; Bagrow, James P.; Danforth, Christopher M.; Dodds, Peter Sheridan

    2015-05-01

    Natural languages are full of rules and exceptions. One of the most famous quantitative rules is Zipf's law, which states that the frequency of occurrence of a word is approximately inversely proportional to its rank. Though this "law" of ranks has been found to hold across disparate texts and forms of data, analyses of increasingly large corpora since the late 1990s have revealed the existence of two scaling regimes. These regimes have thus far been explained by a hypothesis suggesting a separability of languages into core and noncore lexica. Here we present and defend an alternative hypothesis that the two scaling regimes result from the act of aggregating texts. We observe that text mixing leads to an effective decay of word introduction, which we show provides accurate predictions of the location and severity of breaks in scaling. Upon examining large corpora from 10 languages in the Project Gutenberg eBooks collection, we find emphatic empirical support for the universality of our claim.

  5. Managers’ Support – A Key Driver behind Enterprise Risk Management Maturity

    Directory of Open Access Journals (Sweden)

    Sprčić Danijela Miloš

    2017-04-01

    Full Text Available Severe consequences of the global fi nancial crisis resulted in re-thinking the risk management processes and approaches, highlighting the need for a comprehensive risk management framework. Consequently, more and more companies are moving away from the Traditional “silo-based” Risk Management (TRM to a more holistic approach known as Enterprise Risk Management (ERM. This paper presents results of both exploratory and empirical research. First, we develop ERM Index that measures maturity of ERM process within the company. Then, we present empirical results on the level of maturity and determinants of risk management system development in listed Croatian companies. Research indicates low levels of ERM development: even 38 per cent of analysed companies have no elements of ERM system, from which 22 per cent do not manage corporate risks at all. Except the company’s size supported by the economies of scale argument, managers’ support is the most important determinant of ERM system maturity in Croatian companies.

  6. Social support and its association with diet self-care in patients with diabetes

    Directory of Open Access Journals (Sweden)

    Cynthia Alarcón-Mora

    2017-06-01

    Full Text Available Type 2 diabetes mellitus is a major public health problem with many elements, such as self-care and social support, that could be interacting with its evolution. Nevertheless, there is no evidence of association between these two elements. Thus, this study aims to determine the relationship between medical, nutritional and physical activity self-care, perceived social support and duration of the disease. A cross-sectional Study was conducted on 126 people with diabetes with a mean age of 55 (±10.4 years old. The Summary of Diabetes Self-Care Activities Scale and the Medical Outcomes Study (MOS Social Support Survey were applied. Social support, specifically the instrumental one, may generate negative effects by limiting self-care behavior of a person. Based on these findings, it is possible to conclude that social support does not always turn out to be beneficial for people: having more instrumental support generates dependency and no responsibility on the diet.

  7. Intelligent decision support system for operators of the supply ...

    African Journals Online (AJOL)

    Intelligent decision support system for operators of the supply department of oil and gas extracting industry. ... PROMOTING ACCESS TO AFRICAN RESEARCH ... abnormal situations, pre-crash sensing, industrial drilling, decision-making support systems. Full Text: EMAIL FREE FULL TEXT EMAIL FREE FULL TEXT

  8. ADULT BASIC LIFE SUPPORT ON NEAR DROWNING AT THE SCENE

    Directory of Open Access Journals (Sweden)

    Gd. Harry Kurnia Prawedana

    2013-04-01

    Full Text Available Indonesia is a popular tourist destination which has potential for drowning cases. Therefore, required knowledge of adult basic life support to be able to deal with such cases in the field. Basic life support in an act to maintain airway and assist breathing and circulation without the use of tools other than simple breathing aids. The most important factor that determines the outcome of drowning event is the duration and severity of hypoxia induced. The management of near drowning at the scene include the rescue of victim from the water, rescue breathing, chest compression, cleaning the vomit substances which allowing blockage of the airway, prevent loss of body heat, and transport the victim to nearest emergency department for evaluation and monitoring.

  9. Can Text Messages Increase Empathy and Prosocial Behavior? The Development and Initial Validation of Text to Connect

    Science.gov (United States)

    Konrath, Sara; Falk, Emily; Fuhrel-Forbis, Andrea; Liu, Mary; Swain, James; Tolman, Richard; Cunningham, Rebecca; Walton, Maureen

    2015-01-01

    To what extent can simple mental exercises cause shifts in empathic habits? Can we use mobile technology to make people more empathic? It may depend on how empathy is measured. Scholars have identified a number of different facets and correlates of empathy. This study is among the first to take a comprehensive, multidimensional approach to empathy to determine how empathy training could affect these different facets and correlates. In doing so, we can learn more about empathy and its multifaceted nature. Participants (N = 90) were randomly assigned to receive either an empathy-building text message program (Text to Connect) or one of two control conditions (active versus passive). Respondents completed measures of dispositional empathy (i.e. self-perceptions of being an empathic person), affective empathy (i.e. motivations to help, immediate feelings of empathic concern), and prosocial behavior (i.e. self-reports and observer-reports) at baseline, and then again after the 14 day intervention period. We found that empathy-building messages increased affective indicators of empathy and prosocial behaviors, but actually decreased self-perceptions of empathy, relative to control messages. Although the brief text messaging intervention did not consistently impact empathy-related personality traits, it holds promise for the use of mobile technology for changing empathic motivations and behaviors. PMID:26356504

  10. [Analysis on composition and medication regularities of prescriptions treating hypochondriac pain based on traditional Chinese medicine inheritance support system inheritance support platform].

    Science.gov (United States)

    Zhao, Yan-qing; Teng, Jing

    2015-03-01

    To analyze the composition and medication regularities of prescriptions treating hypochondriac pain in Chinese journal full-text database (CNKI) based on the traditional Chinese medicine inheritance support system, in order to provide a reference for further research and development for new traditional Chinese medicines treating hypochondriac pain. The traditional Chinese medicine inheritance support platform software V2. 0 was used to build a prescription database of Chinese medicines treating hypochondriac pain. The software integration data mining method was used to distribute prescriptions according to "four odors", "five flavors" and "meridians" in the database and achieve frequency statistics, syndrome distribution, prescription regularity and new prescription analysis. An analysis were made for 192 prescriptions treating hypochondriac pain to determine the frequencies of medicines in prescriptions, commonly used medicine pairs and combinations and summarize 15 new prescriptions. This study indicated that the prescriptions treating hypochondriac pain in Chinese journal full-text database are mostly those for soothing liver-qi stagnation, promoting qi and activating blood, clearing heat and promoting dampness, and invigorating spleen and removing phlem, with a cold property and bitter taste, and reflect the principles of "distinguish deficiency and excess and relieving pain by smoothening meridians" in treating hypochondriac pain.

  11. Iranian Parents' Supportive Umbrella during their Children Surgery: a Qualitative Study

    Directory of Open Access Journals (Sweden)

    Fatemeh Valizadeh

    2016-03-01

    Full Text Available Background Being in a position of vulnerability, distress and uncertainty reduces the ability of the parents to protect their children and makes them need support from others. The first step to aid clients more is to identify their supportive sources. This study aimed to determine parents' experiences of supportive sources during their children surgery. Materials and Methods This is a descriptive qualitative research. Purposive and maximum variation sampling applied to select 21 parents of operated children in Ahvaz hospitals, Iran. Semi structured interviews, with open question were used to data collection. Audio recording interviews put into written form word by word and finally analyzed with qualitative content analysis approach.  Results Parents considered the personnel's beyond-task-orientation performance, family comprehensive support, mutual facilitating of peers and the elixir of connection to God as the sources that supported them as an umbrella during their children surgery.     Conclusion It is essential for the health service providers to check each family thoroughly in terms of other supportive sources while providing professional support, and to use the sources in an organized way for the successful transition of parents from the stress of their children surgery.

  12. Porous Materials to Support Bilayer Lipid Membranes for Ion Channel Biosensors

    Directory of Open Access Journals (Sweden)

    Thai Phung

    2011-01-01

    Full Text Available To identify materials suitable as membrane supports for ion channel biosensors, six filter materials of varying hydrophobicity, tortuosity, and thickness were examined for their ability to support bilayer lipid membranes as determined by electrical impedance spectroscopy. Bilayers supported by hydrophobic materials (PTFE, polycarbonate, nylon, and silanised silver had optimal resistance (14–19 GΩ and capacitance (0.8–1.6 μF values whereas those with low hydrophobicity did not form BLMs (PVDF or were short-lived (unsilanised silver. The ability of ion channels to function in BLMs was assessed using a method recently reported to improve the efficiency of proteoliposome incorporation into PTFE-supported bilayers. Voltage-gated sodium channel activation by veratridine and inhibition by saxitoxin showed activity for PTFE, nylon, and silanised silver, but not polycarbonate. Bilayers on thicker, more tortuous, and hydrophobic materials produced higher current levels. Bilayers that self-assembled on PTFE filters were the longest lived and produced the most channel activity using this method.

  13. HUBUNGAN ANTARA PERSEPSI DUKUNGAN ORGANISASI (PERCEIVED ORGANIZATIONAL SUPPORT DENGAN KETERIKATAN KARYAWAN

    Directory of Open Access Journals (Sweden)

    Endah Mujiasih

    2015-04-01

    Full Text Available Employee participation is essential for the effectiveness of the organization. The employees mentioned are not only reliable but also loyal, committed, and willing to contribute better performance, or in other words, employees with employee engagement. Employees having high level of engagement are able to help the adaptation of the organization to the surrounding communities. The research was aimed to determine the correlation between perceived organizational support and employee engagement. Data collection was conducted based on Perceived Organizational Support Scale/POS (α = .931 and Employee Engagement Scale (α = .903. The hypothesis of the research was the more positive perceived organizational support results in the higher employee engagement. Data were analyzed using simple regression. The result shows a positive correlation between perceived organizational support and employee engagement (r = .631; p < .001. It means that the hypothesis has been accepted. In the research, POS contributed effectively as much as 39.8% to employee engagement.

  14. Orthographic learning and the role of text-to-speech software in Dutch disabled readers.

    Science.gov (United States)

    Staels, Eva; Van den Broeck, Wim

    2015-01-01

    In this study, we examined whether orthographic learning can be demonstrated in disabled readers learning to read in a transparent orthography (Dutch). In addition, we tested the effect of the use of text-to-speech software, a new form of direct instruction, on orthographic learning. Both research goals were investigated by replicating Share's self-teaching paradigm. A total of 65 disabled Dutch readers were asked to read eight stories containing embedded homophonic pseudoword targets (e.g., Blot/Blod), with or without the support of text-to-speech software. The amount of orthographic learning was assessed 3 or 7 days later by three measures of orthographic learning. First, the results supported the presence of orthographic learning during independent silent reading by demonstrating that target spellings were correctly identified more often, named more quickly, and spelled more accurately than their homophone foils. Our results support the hypothesis that all readers, even poor readers of transparent orthographies, are capable of developing word-specific knowledge. Second, a negative effect of text-to-speech software on orthographic learning was demonstrated in this study. This negative effect was interpreted as the consequence of passively listening to the auditory presentation of the text. We clarify how these results can be interpreted within current theoretical accounts of orthographic learning and briefly discuss implications for remedial interventions. © Hammill Institute on Disabilities 2013.

  15. Authorship attribution and author profiling of Lithuanian literary texts

    OpenAIRE

    Kapočiūtė-Dzikienė, Jurgita; Utka, Andrius; Šarkutė, Ligita

    2015-01-01

    In this work we are solving authorship attribution and author profiling tasks (by focusing on the age and gender dimensions) for the Lithuanian language. This paper reports the first results on literary texts, which we compared to the results, previously obtained with different functional styles and language types (i.e., parliamentary transcripts and forum posts). Using the Naïve Bayes Multinomial and Support Vector Machine methods we investigated an impact of...

  16. LINEAR KERNEL SUPPORT VECTOR MACHINES FOR MODELING PORE-WATER PRESSURE RESPONSES

    Directory of Open Access Journals (Sweden)

    KHAMARUZAMAN W. YUSOF

    2017-08-01

    Full Text Available Pore-water pressure responses are vital in many aspects of slope management, design and monitoring. Its measurement however, is difficult, expensive and time consuming. Studies on its predictions are lacking. Support vector machines with linear kernel was used here to predict the responses of pore-water pressure to rainfall. Pore-water pressure response data was collected from slope instrumentation program. Support vector machine meta-parameter calibration and model development was carried out using grid search and k-fold cross validation. The mean square error for the model on scaled test data is 0.0015 and the coefficient of determination is 0.9321. Although pore-water pressure response to rainfall is a complex nonlinear process, the use of linear kernel support vector machine can be employed where high accuracy can be sacrificed for computational ease and time.

  17. The effect of social support on the quality of life of patients with multiple sclerosis

    Directory of Open Access Journals (Sweden)

    David Castro Costa

    2012-02-01

    Full Text Available OBJECTIVE: To determine the predictive value of social support on health related quality of life (HRQoL in multiple sclerosis (MS patients. METHODS: The sample is composed by 150 MS consecutive patients. We used the Medical Outcomes Study Social Support Survey to assess social support and the Health Status Questionnaire to assess HRQoL. For inferential analysis, we used the Multiple Linear Regression with stepwise selection of variables. RESULTS: The age, basic education, psychological support and disability explains 41.6% of the variance in physical function, 29.4% in physical performance and 30.6% in emotional performance. Age and psychological support explains 23.1% of the variance in physical function and 29.4% in vitality. CONCLUSION: This study demonstrated that social support is a predictor with a significant effect on HRQoL in MS.

  18. Improving Anomaly Detection for Text-Based Protocols by Exploiting Message Structures

    Directory of Open Access Journals (Sweden)

    Christian M. Mueller

    2010-12-01

    Full Text Available Service platforms using text-based protocols need to be protected against attacks. Machine-learning algorithms with pattern matching can be used to detect even previously unknown attacks. In this paper, we present an extension to known Support Vector Machine (SVM based anomaly detection algorithms for the Session Initiation Protocol (SIP. Our contribution is to extend the amount of different features used for classification (feature space by exploiting the structure of SIP messages, which reduces the false positive rate. Additionally, we show how combining our approach with attribute reduction significantly improves throughput.

  19. Texting Styles and Information Change of SMS Text Messages in Filipino

    Science.gov (United States)

    Cabatbat, Josephine Jill T.; Tapang, Giovanni A.

    2013-02-01

    We identify the different styles of texting in Filipino short message service (SMS) texts and analyze the change in unigram and bigram frequencies due to these styles. Style preference vectors for sample texts were calculated and used to identify the style combination used by an average individual. The change in Shannon entropy of the SMS text is explained in light of a coding process.

  20. Text-to-Speech and Reading While Listening: Reading Support for Individuals with Severe Traumatic Brain Injury

    Science.gov (United States)

    Harvey, Judy

    2013-01-01

    Individuals with severe traumatic brain injury (TBI) often have reading challenges. They maintain or reestablish basic decoding and word recognition skills following injury, but problems with reading comprehension often persist. Practitioners have the potential to accommodate struggling readers by changing the presentational mode of text in a…

  1. 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.

  2. Women's Perceptions of Participation in an Extended Contact Text Message-Based Weight Loss Intervention: An Explorative Study.

    Science.gov (United States)

    Job, Jennifer R; Spark, Lauren C; Fjeldsoe, Brianna S; Eakin, Elizabeth G; Reeves, Marina M

    2017-02-27

    Extending contact with participants after the end of an initial weight loss intervention has been shown to lead to maintained weight loss and related behavioral change. Mobile phone text messaging (short message service, SMS) offers a low-cost and efficacious method to deliver extended contact. In this rapidly developing area, formative work is required to understand user perspectives of text message technology. An extended contact intervention delivered by text messages following an initial telephone-delivered weight loss intervention in breast cancer survivors provided this opportunity. The aim of this study was to qualitatively explore women's perceptions of participation in an extended contact intervention using text messaging to support long-term weight loss, physical activity, and dietary behavioral change. Following the end of an initial 6-month randomized controlled trial of a telephone-delivered weight loss intervention (versus usual care), participants received a 6-month extended contact intervention via tailored text messages. Participant perceptions of the different types of text messages, the content, tailoring, timing, and frequency of the text messages, and the length of the intervention were assessed through semistructured interviews conducted after the extended contact intervention. The interviews were transcribed verbatim and analyzed with key themes identified. Participants (n=27) were a mean age of 56.0 years (SD 7.8) and mean body mass index of 30.4 kg/m2 (SD 4.2) and were at a mean of 16.1 months (SD 3.1) postdiagnosis at study baseline. Participants perceived the text messages to be useful behavioral prompts and felt the messages kept them accountable to their behavioral change goals. The individual tailoring of the text message content and schedules was a key to the acceptability of the messages; however, some women preferred the support and real-time discussion via telephone calls (during the initial intervention) compared with the text

  3. 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.

  4. Evaluation of the Impact of the EU Structural Support on the Competitiveness of Lithuanian Economics

    Directory of Open Access Journals (Sweden)

    Rita Remeikiene

    2016-06-01

    Full Text Available Increasing amounts of the EU structural support in Lithuania require theoretical and practical research to disclose the determinants that have a significant impact on the competitiveness of Lithuanian economics. The purpose of this article is to evaluate the impact of the EU structural support on the competitiveness of Lithuanian economics. The methods of the research include systematic and comparative analysis of the scientific literature, expert evaluation and linear regression. The research disclosed the main determinants of country’s competitiveness. The results have revealed that EU structural support has the most significant impact on Lithuanian engineering and technological infrastructure. The impact of the support on country’s macroeconomic, scientific and social environment can also be considered as significant. The EU structural support has medium strong impact on education and business environment conditions in Lithuania. It has been established that, in the field of business advancement, Lithuanian should be rated as medium competitive. Hence, the increase in country’s competitiveness by employing EU structural funds should be treated as one of priority aims. In addition, responsible authorities should perform with higher efficiency seeking for higher competitiveness of the country.

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

    Science.gov (United States)

    Combs, Nathan

    1993-01-01

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

  6. Using the patchwork text assessment as a vehicle for evaluating students' perceptions of their clinical leadership development.

    Science.gov (United States)

    Leigh, J A; Rutherford, J; Wild, J; Cappleman, J; Hynes, C

    2012-01-01

    A shift in universities world wide in providing theoretical post graduate programmes of study underpinned by traditional assessment strategies to work based learning programmes supported by innovative assessment strategies is required if Higher education institutions are to effectively educate contemporary healthcare leaders. Concurrently generating the evidence to evaluate the effectiveness of educational programmes is required by commissioners of healthcare education (DH, 2010). This paper reports on the perceptions of twelve post graduate students attending a clinical leadership masters programme of their leadership development through analysis of the critical commentary provided by students as part of assessment strategy that utilised the Patchwork Text Assessment. Following a thematic content analysis six themes emerged: programme philosophy and its impact on the success of the Patchwork Text Assessment; leadership development targeted against leadership frameworks; application and applicability of learning to the students own healthcare organisation; integrating theory to practice through theoretical development and work based activities; the value of networking; and the importance of multi-professional reflective groups. This study has clearly demonstrated how the success of the Patchwork Text Assessment in promoting deep learning is determined by its integration into the overall philosophy of the programme. Concurrently systems needed to be in place to ensure that Patchwork text Assessment is operationalised effectively and embedded within the day to day management of the programme. Copyright © 2011 Elsevier Ltd. All rights reserved.

  7. Text Messaging (SMS) Helping Cancer Care in Patients Undergoing Chemotherapy Treatment: a Pilot Study.

    Science.gov (United States)

    Rico, Timóteo Matthies; Dos Santos Machado, Karina; Fernandes, Vanessa Pellegrini; Madruga, Samanta Winck; Noguez, Patrícia Tuerlinckx; Barcelos, Camila Rose Guadalupe; Santin, Mateus Madail; Petrarca, Cristiane Rios; Dumith, Samuel Carvalho

    2017-10-09

    Cancer treatment is an extremely stressful life experience that is accompanied by a range of psychological, social, physical, and practical difficulties. Cancer patients need to receive information that helps them to better understand the disease, assists them in decision-making, and helps them deal with treatment. Patients are interested in receiving such information. The degree of satisfaction with the information received has been associated with positive health outcomes, specifically regarding quality of life, severity of side effects, and psychological well-being. This study investigates a method of guiding cancer patients, in relation to outpatient chemotherapy treatment, using SMS (short message service) text messaging. A smartphone application called cHEmotHErApp was developed, and its primary function is to send out SMS text messages with guidance for self-care and emotional support for oncology patients undergoing chemotherapy. Thus, the main objective of this study is to evaluate the acceptance and perception of patients of the receipt of these SMS messages, as well as to evaluate the possible benefits reported by the participants. Adult patients diagnosed with cancer, who started the first outpatient chemotherapy treatment scheme between August and November 2016 at the School Hospital (HE) of the Federal University of Pelotas (UFPel), were invited to participate in this pilot study. In total, 14 cancer patients were adherent to this study. Each of these patients received a daily text message on their cell phone with some guidance on encouraging self-care and emotional support. Patients reported that, because of the SMS text messages they received, they felt more confident in their treatment, felt more supported and encouraged, and that the text messages facilitated self-care. In addition, patients reported that the SMS text messages they received helped them to take better care of themselves and to continue further treatment.

  8. Predicting catalyst-support interactions between metal nanoparticles and amorphous silica supports

    Science.gov (United States)

    Ewing, Christopher S.; Veser, Götz; McCarthy, Joseph J.; Lambrecht, Daniel S.; Johnson, J. Karl

    2016-10-01

    Metal-support interactions significantly affect the stability and activity of supported catalytic nanoparticles (NPs), yet there is no simple and reliable method for estimating NP-support interactions, especially for amorphous supports. We present an approach for rapid prediction of catalyst-support interactions between Pt NPs and amorphous silica supports for NPs of various sizes and shapes. We use density functional theory calculations of 13 atom Pt clusters on model amorphous silica supports to determine linear correlations relating catalyst properties to NP-support interactions. We show that these correlations can be combined with fast discrete element method simulations to predict adhesion energy and NP net charge for NPs of larger sizes and different shapes. Furthermore, we demonstrate that this approach can be successfully transferred to Pd, Au, Ni, and Fe NPs. This approach can be used to quickly screen stability and net charge transfer and leads to a better fundamental understanding of catalyst-support interactions.

  9. “Girls Text Really Weird”: Gender, Texting and Identity Among Teens

    DEFF Research Database (Denmark)

    Ling, Richard; Baron, Naomi; Lenhart, Amanda

    2014-01-01

    This article examines the strategies used by teenagers for interacting with members of the opposite sex when texting. This article uses material from a series of nine focus groups from 2009 in four US cities. It reports on the strategies they use and the problems they encounter as they negotiate...... this portion of their lives. Texting is a direct, person-to-person venue where they can develop their gendered identity and also investigate romantic interaction. In this activity, both genders show the ability to make fine-grained interpretations of texts, often interpreting the meaning of punctuation...... and other paralinguistic devices. In addition, they use texts to characterize the opposite sex. Teen boys' texts are seen as short and perhaps brisk when viewed by girls. Boys see teen girls' texts as being overly long, prying and containing unneeded elements. The discussion of these practices shows how...

  10. Precise determination of the mass of the Higgs boson and tests of compatibility of its couplings with the standard model predictions using proton collisions at 7 and 8[Formula: see text].

    Science.gov (United States)

    Khachatryan, V; Sirunyan, A M; Tumasyan, A; Adam, W; Bergauer, T; Dragicevic, M; Erö, J; Friedl, M; Frühwirth, R; Ghete, V M; Hartl, C; Hörmann, N; Hrubec, J; Jeitler, M; Kiesenhofer, W; Knünz, V; Krammer, M; Krätschmer, I; Liko, D; Mikulec, I; Rabady, D; Rahbaran, B; Rohringer, H; Schöfbeck, R; Strauss, J; Treberer-Treberspurg, W; Waltenberger, W; Wulz, C-E; Mossolov, V; Shumeiko, N; Suarez Gonzalez, J; Alderweireldt, S; Bansal, S; Cornelis, T; De Wolf, E A; Janssen, X; Knutsson, A; Lauwers, J; Luyckx, S; Ochesanu, S; Rougny, R; Van De Klundert, M; Van Haevermaet, H; Van Mechelen, P; Van Remortel, N; Van Spilbeeck, A; Blekman, F; Blyweert, S; D'Hondt, J; Daci, N; Heracleous, N; Keaveney, J; Lowette, S; Maes, M; Olbrechts, A; Python, Q; Strom, D; Tavernier, S; Van Doninck, W; Van Mulders, P; Van Onsem, G P; Villella, I; Caillol, C; Clerbaux, B; De Lentdecker, G; Dobur, D; Favart, L; Gay, A P R; Grebenyuk, A; Léonard, A; Mohammadi, A; Perniè, L; Randle-Conde, A; Reis, T; Seva, T; Thomas, L; Vander Velde, C; Vanlaer, P; Wang, J; Zenoni, F; Adler, V; Beernaert, K; Benucci, L; Cimmino, A; Costantini, S; Crucy, S; Fagot, A; Garcia, G; Mccartin, J; Ocampo Rios, A A; Poyraz, D; Ryckbosch, D; Salva Diblen, S; Sigamani, M; Strobbe, N; Thyssen, F; Tytgat, M; Yazgan, E; Zaganidis, N; Basegmez, S; Beluffi, C; Bruno, G; Castello, R; Caudron, A; Ceard, L; Da Silveira, G G; Delaere, C; du Pree, T; Favart, D; Forthomme, L; Giammanco, A; Hollar, J; Jafari, A; Jez, P; Komm, M; Lemaitre, V; Nuttens, C; Pagano, D; Perrini, L; Pin, A; Piotrzkowski, K; Popov, A; Quertenmont, L; Selvaggi, M; Vidal Marono, M; Vizan Garcia, J M; Beliy, N; Caebergs, T; Daubie, E; Hammad, G H; Júnior, W L Aldá; Alves, G A; Brito, L; Correa Martins Junior, M; Martins, T Dos Reis; Molina, J; Mora Herrera, C; Pol, M E; Teles, P Rebello; Carvalho, W; Chinellato, J; Custódio, A; Da Costa, E M; De Jesus Damiao, D; De Oliveira Martins, C; Fonseca De Souza, S; Malbouisson, H; Matos Figueiredo, D; Mundim, L; Nogima, H; Prado Da Silva, W L; Santaolalla, J; Santoro, A; Sznajder, A; Tonelli Manganote, E J; Vilela Pereira, A; Bernardes, C A; Dogra, S; Fernandez Perez Tomei, T R; Gregores, E M; Mercadante, P G; Novaes, S F; Padula, Sandra S; Aleksandrov, A; Genchev, V; Hadjiiska, R; Iaydjiev, P; Marinov, A; Piperov, S; Rodozov, M; Stoykova, S; Sultanov, G; Vutova, M; Dimitrov, A; Glushkov, I; Litov, L; Pavlov, B; Petkov, P; Bian, J G; Chen, G M; Chen, H S; Chen, M; Cheng, T; Du, R; Jiang, C H; Plestina, R; Romeo, F; Tao, J; Wang, Z; Asawatangtrakuldee, C; Ban, Y; Liu, S; Mao, Y; Qian, S J; Wang, D; Xu, Z; Zhang, F; Zhang, L; Zou, W; Avila, C; Cabrera, A; Chaparro Sierra, L F; Florez, C; Gomez, J P; Gomez Moreno, B; Sanabria, J C; Godinovic, N; Lelas, D; Polic, D; Puljak, I; Antunovic, Z; Kovac, M; Brigljevic, V; Kadija, K; Luetic, J; Mekterovic, D; Sudic, L; Attikis, A; Mavromanolakis, G; Mousa, J; Nicolaou, C; Ptochos, F; Razis, P A; Rykaczewski, H; Bodlak, M; Finger, M; Finger, M; Assran, Y; Ellithi Kame, A; Mahmoud, M A; Radi, A; Kadastik, M; Murumaa, M; Raidal, M; Tiko, A; Eerola, P; Voutilainen, M; Härkönen, J; Heikkilä, J K; Karimäki, V; Kinnunen, R; Kortelainen, M J; Lampén, T; Lassila-Perini, K; Lehti, S; Lindén, T; Luukka, P; Mäenpää, T; Peltola, T; Tuominen, E; Tuominiemi, J; Tuovinen, E; Wendland, L; Talvitie, J; Tuuva, T; Besancon, M; Couderc, F; Dejardin, M; Denegri, D; Fabbro, B; Faure, J L; Favaro, C; Ferri, F; Ganjour, S; Givernaud, A; Gras, P; Hamel de Monchenault, G; Jarry, P; Locci, E; Malcles, J; Rander, J; Rosowsky, A; Titov, M; Baffioni, S; Beaudette, F; Busson, P; Chapon, E; Charlot, C; Dahms, T; Dobrzynski, L; Filipovic, N; Florent, A; Granier de Cassagnac, R; Mastrolorenzo, L; Miné, P; Naranjo, I N; Nguyen, M; Ochando, C; Ortona, G; Paganini, P; Regnard, S; Salerno, R; Sauvan, J B; Sirois, Y; Veelken, C; Yilmaz, Y; Zabi, A; Agram, J-L; Andrea, J; Aubin, A; Bloch, D; Brom, J-M; Chabert, E C; Collard, C; Conte, E; Fontaine, J-C; Gelé, D; Goerlach, U; Goetzmann, C; Le Bihan, A-C; Skovpen, K; 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Mulhearn, M; Pellett, D; Pilot, J; Ricci-Tam, F; Shalhout, S; Smith, J; Squires, M; Stolp, D; Tripathi, M; Wilbur, S; Yohay, R; Cousins, R; Everaerts, P; Farrell, C; Hauser, J; Ignatenko, M; Rakness, G; Takasugi, E; Valuev, V; Weber, M; Burt, K; Clare, R; Ellison, J; Gary, J W; Hanson, G; Heilman, J; Ivova Rikova, M; Jandir, P; Kennedy, E; Lacroix, F; Long, O R; Luthra, A; Malberti, M; Negrete, M Olmedo; Shrinivas, A; Sumowidagdo, S; Wimpenny, S; Branson, J G; Cerati, G B; Cittolin, S; D'Agnolo, R T; Holzner, A; Kelley, R; Klein, D; Letts, J; Macneill, I; Olivito, D; Padhi, S; Palmer, C; Pieri, M; Sani, M; Sharma, V; Simon, S; Tadel, M; Tu, Y; Vartak, A; Welke, C; Würthwein, F; Yagil, A; Zevi Della Porta, G; Barge, D; Bradmiller-Feld, J; Campagnari, C; Danielson, T; Dishaw, A; Dutta, V; Flowers, K; Franco Sevilla, M; Geffert, P; George, C; Golf, F; Gouskos, L; Incandela, J; Justus, C; Mccoll, N; Mullin, S D; Richman, J; Stuart, D; To, W; West, C; Yoo, J; Apresyan, A; Bornheim, A; Bunn, J; Chen, Y; Duarte, J; Mott, A; Newman, H B; Pena, C; Pierini, M; Spiropulu, M; Vlimant, R; Wilkinson, R; Xie, S; Zhu, R Y; Azzolini, V; Calamba, A; Carlson, B; Ferguson, T; Iiyama, Y; Paulini, M; Russ, J; Vogel, H; Vorobiev, I; Cumalat, J P; Ford, W T; Gaz, A; Krohn, M; Luiggi Lopez, E; Nauenberg, U; Smith, J G; Stenson, K; Wagner, S R; Alexander, J; Chatterjee, A; Chaves, J; Chu, J; Dittmer, S; Eggert, N; Mirman, N; Nicolas Kaufman, G; Patterson, J R; Ryd, A; Salvati, E; Skinnari, L; Sun, W; Teo, W D; Thom, J; Thompson, J; Tucker, J; Weng, Y; Winstrom, L; Wittich, P; Winn, D; Abdullin, S; Albrow, M; Anderson, J; Apollinari, G; Bauerdick, L A T; Beretvas, A; Berryhill, J; Bhat, P C; Bolla, G; Burkett, K; Butler, J N; Cheung, H W K; Chlebana, F; Cihangir, S; Elvira, V D; Fisk, I; Freeman, J; Gottschalk, E; Gray, L; Green, D; Grünendahl, S; Gutsche, O; Hanlon, J; Hare, D; Harris, R M; Hirschauer, J; Hooberman, B; Jindariani, S; Johnson, M; Joshi, U; Klima, B; Kreis, B; Kwan, S; Linacre, J; Lincoln, D; Lipton, R; Liu, T; Lopes De Sá, R; Lykken, J; Maeshima, K; Marraffino, J M; Martinez Outschoorn, V I; Maruyama, S; Mason, D; McBride, P; Merkel, P; Mishra, K; Mrenna, S; Nahn, S; Newman-Holmes, C; O'Dell, V; Prokofyev, O; Sexton-Kennedy, E; Soha, A; Spalding, W J; Spiegel, L; Taylor, L; Tkaczyk, S; Tran, N V; Uplegger, L; Vaandering, E W; Vidal, R; Whitbeck, A; Whitmore, J; Yang, F; Acosta, D; Avery, P; Bortignon, P; Bourilkov, D; Carver, M; Curry, D; Das, S; De Gruttola, M; Di Giovanni, G P; Field, R D; Fisher, M; Furic, I K; Hugon, J; Konigsberg, J; Korytov, A; Kypreos, T; Low, J F; Matchev, K; Mei, H; Milenovic, P; Mitselmakher, G; Muniz, L; Rinkevicius, A; Shchutska, L; Snowball, M; Sperka, D; Yelton, J; Zakaria, M; Hewamanage, S; Linn, S; Markowitz, P; Martinez, G; Rodriguez, J L; Adams, J R; Adams, T; Askew, A; Bochenek, J; Diamond, B; Haas, J; Hagopian, S; Hagopian, V; Johnson, K F; Prosper, H; Veeraraghavan, V; Weinberg, M; Baarmand, M M; Hohlmann, M; Kalakhety, H; Yumiceva, F; Adams, M R; Apanasevich, L; Berry, D; Betts, R R; Bucinskaite, I; Cavanaugh, R; Evdokimov, O; Gauthier, L; Gerber, C E; Hofman, D J; Kurt, P; O'Brien, C; Sandoval Gonzalez, I D; Silkworth, C; Turner, P; Varelas, N; Bilki, B; Clarida, W; Dilsiz, K; Haytmyradov, M; Khristenko, V; Merlo, J-P; Mermerkaya, H; Mestvirishvili, A; Moeller, A; Nachtman, J; Ogul, H; Onel, Y; Ozok, F; Penzo, A; Rahmat, R; Sen, S; Tan, P; Tiras, E; Wetzel, J; Yi, K; Anderson, I; Barnett, B A; Blumenfeld, B; Bolognesi, S; Fehling, D; Gritsan, A V; Maksimovic, P; Martin, C; Swartz, M; Xiao, M; Baringer, P; Bean, A; Benelli, G; Bruner, C; Gray, J; Kenny, R P; Majumder, D; Malek, M; Murray, M; Noonan, D; Sanders, S; Sekaric, J; Stringer, R; Wang, Q; Wood, J S; Chakaberia, I; Ivanov, A; Kaadze, K; Khalil, S; Makouski, M; Maravin, Y; Saini, L K; Skhirtladze, N; Svintradze, I; Gronberg, J; Lange, D; Rebassoo, F; Wright, D; Baden, A; Belloni, A; Calvert, B; Eno, S C; Gomez, J A; Hadley, N J; Jabeen, S; Kellogg, R G; Kolberg, T; Lu, Y; Mignerey, A C; Pedro, K; Skuja, A; Tonjes, M B; Tonwar, S C; Apyan, A; Barbieri, R; Bierwagen, K; Busza, W; Cali, I A; Di Matteo, L; Gomez Ceballos, G; Goncharov, M; Gulhan, D; Klute, M; Lai, Y S; Lee, Y-J; Levin, A; Luckey, P D; Paus, C; Ralph, D; Roland, C; Roland, G; Stephans, G S F; Sumorok, K; Velicanu, D; Veverka, J; Wyslouch, B; Yang, M; Zanetti, M; Zhukova, V; Dahmes, B; Gude, A; Kao, S C; Klapoetke, K; Kubota, Y; Mans, J; Nourbakhsh, S; Rusack, R; Singovsky, A; Tambe, N; Turkewitz, J; Acosta, J G; Oliveros, S; Avdeeva, E; Bloom, K; Bose, S; Claes, D R; Dominguez, A; Gonzalez Suarez, R; Keller, J; Knowlton, D; Kravchenko, I; Lazo-Flores, J; Meier, F; Ratnikov, F; Snow, G R; Zvada, M; Dolen, J; Godshalk, A; Iashvili, I; Kharchilava, A; Kumar, A; Rappoccio, S; Alverson, G; Barberis, E; Baumgartel, D; Chasco, M; Massironi, A; Morse, D M; Nash, D; Orimoto, T; Trocino, D; Wang, R J; Wood, D; Zhang, J; Hahn, K A; Kubik, A; Mucia, N; Odell, N; Pollack, B; Pozdnyakov, A; Schmitt, M; Stoynev, S; Sung, K; Velasco, M; Won, S; Brinkerhoff, A; Chan, K M; Drozdetskiy, A; Hildreth, M; Jessop, C; Karmgard, D J; Kellams, N; Lannon, K; Lynch, S; Marinelli, N; Musienko, Y; Pearson, T; Planer, M; Ruchti, R; Smith, G; Valls, N; Wayne, M; Wolf, M; Woodard, A; Antonelli, L; Brinson, J; Bylsma, B; Durkin, L S; Flowers, S; Hart, A; Hill, C; Hughes, R; Kotov, K; Ling, T Y; Luo, W; Puigh, D; Rodenburg, M; Winer, B L; Wolfe, H; Wulsin, H W; Driga, O; Elmer, P; Hardenbrook, J; Hebda, P; Koay, S A; Lujan, P; Marlow, D; Medvedeva, T; Mooney, M; Olsen, J; Piroué, P; Quan, X; Saka, H; Stickland, D; Tully, C; Werner, J S; Zuranski, A; Brownson, E; Malik, S; Mendez, H; Ramirez Vargas, J E; Barnes, V E; Benedetti, D; Bortoletto, D; Gutay, L; Hu, Z; Jha, M K; Jones, M; Jung, K; Kress, M; Leonardo, N; Miller, D H; Neumeister, N; Primavera, F; Radburn-Smith, B C; Shi, X; Shipsey, I; Silvers, D; Svyatkovskiy, A; Wang, F; Xie, W; Xu, L; Zablocki, J; Parashar, N; Stupak, J; Adair, A; Akgun, B; Ecklund, K M; Geurts, F J M; Li, W; Michlin, B; Padley, B P; Redjimi, R; Roberts, J; Zabel, J; Betchart, B; Bodek, A; de Barbaro, P; Demina, R; Eshaq, Y; Ferbel, T; Galanti, M; Garcia-Bellido, A; Goldenzweig, P; Han, J; Harel, A; Hindrichs, O; Khukhunaishvili, A; Korjenevski, S; Petrillo, G; Verzetti, M; Vishnevskiy, D; Ciesielski, R; Demortier, L; Goulianos, K; Mesropian, C; Arora, S; Barker, A; Chou, J P; Contreras-Campana, C; Contreras-Campana, E; Duggan, D; Ferencek, D; Gershtein, Y; Gray, R; Halkiadakis, E; Hidas, D; Kaplan, S; Lath, A; Panwalkar, S; Park, M; Salur, S; Schnetzer, S; Sheffield, D; Somalwar, S; Stone, R; Thomas, S; Thomassen, P; Walker, M; Rose, K; Spanier, S; York, A; Bouhali, O; Castaneda Hernandez, A; Dalchenko, M; De Mattia, M; Dildick, S; Eusebi, R; Flanagan, W; Gilmore, J; Kamon, T; Khotilovich, V; Krutelyov, V; Montalvo, R; Osipenkov, I; Pakhotin, Y; Patel, R; Perloff, A; Roe, J; Rose, A; Safonov, A; Suarez, I; Tatarinov, A; Ulmer, K A; Akchurin, N; Cowden, C; Damgov, J; Dragoiu, C; Dudero, P R; Faulkner, J; Kovitanggoon, K; Kunori, S; Lee, S W; Libeiro, T; Volobouev, I; Appelt, E; Delannoy, A G; Greene, S; Gurrola, A; Johns, W; Maguire, C; Mao, Y; Melo, A; Sharma, M; Sheldon, P; Snook, B; Tuo, S; Velkovska, J; Arenton, M W; Boutle, S; Cox, B; Francis, B; Goodell, J; Hirosky, R; Ledovskoy, A; Li, H; Lin, C; Neu, C; Wolfe, E; Wood, J; Clarke, C; Harr, R; Karchin, P E; Kottachchi Kankanamge Don, C; Lamichhane, P; Sturdy, J; Belknap, D A; Carlsmith, D; Cepeda, M; Dasu, S; Dodd, L; Duric, S; Friis, E; Hall-Wilton, R; Herndon, M; Hervé, A; Klabbers, P; Lanaro, A; Lazaridis, C; Levine, A; Loveless, R; Mohapatra, A; Ojalvo, I; Perry, T; Pierro, G A; Polese, G; Ross, I; Sarangi, T; Savin, A; Smith, W H; Taylor, D; Vuosalo, C; Woods, N; Roinishvili, V

    Properties of the Higgs boson with mass near 125[Formula: see text] are measured in proton-proton collisions with the CMS experiment at the LHC. Comprehensive sets of production and decay measurements are combined. The decay channels include [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], and [Formula: see text] pairs. The data samples were collected in 2011 and 2012 and correspond to integrated luminosities of up to 5.1[Formula: see text] at 7[Formula: see text] and up to 19.7[Formula: see text] at 8[Formula: see text]. From the high-resolution [Formula: see text] and [Formula: see text] channels, the mass of the Higgs boson is determined to be [Formula: see text]. For this mass value, the event yields obtained in the different analyses tagging specific decay channels and production mechanisms are consistent with those expected for the standard model Higgs boson. The combined best-fit signal relative to the standard model expectation is [Formula: see text] at the measured mass. The couplings of the Higgs boson are probed for deviations in magnitude from the standard model predictions in multiple ways, including searches for invisible and undetected decays. No significant deviations are found.

  11. Individual and social determinants of obesity in strategic health messages: Interaction with political ideology.

    Science.gov (United States)

    Young, Rachel; Hinnant, Amanda; Leshner, Glenn

    2016-07-01

    Antiobesity health communication campaigns often target individual behavior, but these ads might inflate the role of individual responsibility at the expense of other health determinants. In a 2 × 2 full-factorial, randomized, online experiment, 162 American adults viewed antiobesity advertisements that varied in emphasizing social or individual causation for obesity through text and images. Locus for attribution of responsibility for obesity causes and solutions was measured, as was how these responses were moderated by political ideology. Participants who viewed text emphasizing individual responsibility were less likely to agree that genetic factors caused obesity. Conservative participants who viewed images of overweight individuals were less likely than liberal participants to agree that social factors were responsible for causing obesity. In addition, among conservative participants who viewed images of fast food versus images of overweight individuals, agreement that the food industry bore some responsibility mediated support for policy solutions to obesity. These findings, among others, demonstrate that awareness of multilevel determinants of health outcomes can be a precursor of support for policy solutions to obesity among those not politically inclined to support antiobesity policy. In addition, stigmatizing images of overweight individuals in antiobesity campaigns might overemphasize the role of individual behavior in obesity at the expense of other factors.

  12. Sentiment analysis of Arabic tweets using text mining techniques

    Science.gov (United States)

    Al-Horaibi, Lamia; Khan, Muhammad Badruddin

    2016-07-01

    Sentiment analysis has become a flourishing field of text mining and natural language processing. Sentiment analysis aims to determine whether the text is written to express positive, negative, or neutral emotions about a certain domain. Most sentiment analysis researchers focus on English texts, with very limited resources available for other complex languages, such as Arabic. In this study, the target was to develop an initial model that performs satisfactorily and measures Arabic Twitter sentiment by using machine learning approach, Naïve Bayes and Decision Tree for classification algorithms. The datasets used contains more than 2,000 Arabic tweets collected from Twitter. We performed several experiments to check the performance of the two algorithms classifiers using different combinations of text-processing functions. We found that available facilities for Arabic text processing need to be made from scratch or improved to develop accurate classifiers. The small functionalities developed by us in a Python language environment helped improve the results and proved that sentiment analysis in the Arabic domain needs lot of work on the lexicon side.

  13. Towards Sustainability in Viral Marketing with User Engaging Supporting Campaigns

    Directory of Open Access Journals (Sweden)

    Jarosław Jankowski

    2017-12-01

    Full Text Available While viral marketing has captured substantial academic and professional interest, the processes that underpin successful viral marketing campaigns remain poorly understood. High competition and pressure for successful campaigns lead to strategies based on persuasion, unsolicited messages, and other techniques that negatively affect brand perception. The need for more sustainable strategies with a limited negative impact on web users is observed. Therefore, the current study examines the effectiveness of viral marketing and a supporting campaign, where the main goal was to increase user engagement and overall campaign performance. Supporting campaigns were evaluated, to determine whether they enhanced viral activity, but without the need for high persuasion or intrusive techniques. Results showed that supporting actions could be integrated with lower performing campaigns to increase their effectiveness. Apart from the main scientific goal that is presented, the study demonstrates how virtual worlds can provide a laboratory-like environment for identifying the processes that underpin viral marketing.

  14. Supportive Relationships in Autism Spectrum Disorder: Perspectives of Individuals with ASD and Supporters

    Directory of Open Access Journals (Sweden)

    Jodi Robledo

    2016-11-01

    Full Text Available This study explored 17 dyads of academically successful people with Autism Spectrum Disorder (ASD and individuals who they identified as supportive. Qualitative methods, including in-depth interviews, participant observations, and document analysis, were used to study these supportive relationships. The purpose of the study was to develop a substantive grounded theory regarding supportive relationships within the lives of individuals with ASD. A dynamic model of supportive relationships emerged, with trust, unity, and support as the three core categories of these relationships. The data suggest that the quality of the relationship between an individual with ASD and the support provider can be a critical factor within effective support. These findings suggest that there is much yet to be learned about the social world of individuals with ASD.

  15. Identity text: an educational intervention to foster cultural interaction.

    Science.gov (United States)

    Zaidi, Zareen; Verstegen, Daniëlle; Naqvi, Rahat; Dornan, Tim; Morahan, Page

    2016-01-01

    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'. 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. 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. 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.

  16. DETERMINANTS DESTRUCTIVE TO BUSINESS CONDUCT TRANSPORT

    Directory of Open Access Journals (Sweden)

    Natalia Anatol’evna Loginova

    2017-03-01

    Full Text Available The article examines the determinants of destructive behavior in the transport business with the aim to identify their causes and to clarify the features of influence on them by all business stakeholders in transport. It is shown that the key determinants are: submission to the will of one business entity to another, the implementation of state support only in distressed periods of functioning of transport organizations, business obligations to the state are often perceived as a back-breaking businessmen, unfair, unnecessary. The main conclusions of the work are reduced to the following recommendations: to form a focused pulse of the state in support of the transport business; improve enforcement culture; more efficient use of the transport business capital. The goal – to identify the cause of the destructive business behavior and clarify the characteristics of their research on the part of all stakeholders in the transport sector. Method or methodology of work: in the article used analytical methods, and statistical analysis methods. Results for: received informative pictures that describe deterministic minanaty-destructive conduct business on the road, on the basis of which developed recommendations to neutralize their influence on the behavior of entrepreneurs. Application of results: the results the expediency applied differently businesses and government agencies operating in the field of transport.

  17. Development of an Electrochemical Sensor for NADH Determination Based on a Caffeic Acid Redox Mediator Supported on Carbon Black

    Directory of Open Access Journals (Sweden)

    Chiara Zanardi

    2015-04-01

    Full Text Available Screen-printed electrode (SPE modified with carbon black nanoparticles (CB has been tested as a new platform for the stable deposition of caffeic acid (CFA on the electrode surface. The electrochemical performance from varying the amount of CFA/CB composite has been tested with respect to NADH determination. The electrocatalytic activity of CFA/CB has also been compared with that of SPEs modified by a single component of the coating, i.e., either CFA or CB. Finally, glycerol dehydrogenase, a typical NADH-dependent enzyme, was deposited on the CFA/CB coating in order to test the applicability of the sensor in glycerol determination.

  18. Text mining for literature review and knowledge discovery in cancer risk assessment and research.

    Directory of Open Access Journals (Sweden)

    Anna Korhonen

    Full Text Available Research in biomedical text mining is starting to produce technology which can make information in biomedical literature more accessible for bio-scientists. One of the current challenges is to integrate and refine this technology to support real-life scientific tasks in biomedicine, and to evaluate its usefulness in the context of such tasks. We describe CRAB - a fully integrated text mining tool designed to support chemical health risk assessment. This task is complex and time-consuming, requiring a thorough review of existing scientific data on a particular chemical. Covering human, animal, cellular and other mechanistic data from various fields of biomedicine, this is highly varied and therefore difficult to harvest from literature databases via manual means. Our tool automates the process by extracting relevant scientific data in published literature and classifying it according to multiple qualitative dimensions. Developed in close collaboration with risk assessors, the tool allows navigating the classified dataset in various ways and sharing the data with other users. We present a direct and user-based evaluation which shows that the technology integrated in the tool is highly accurate, and report a number of case studies which demonstrate how the tool can be used to support scientific discovery in cancer risk assessment and research. Our work demonstrates the usefulness of a text mining pipeline in facilitating complex research tasks in biomedicine. We discuss further development and application of our technology to other types of chemical risk assessment in the future.

  19. Parentification and Grandparents’ Support from the Perspective of Grandchildren from Families of Various Structures

    Directory of Open Access Journals (Sweden)

    Napora Elżbieta

    2016-06-01

    Full Text Available The purpose of this study was to determine the strength of the relationship between a retrospective evaluation of the experienced social support given by grandparents and the material status of the family with the quality of life of the grown-up grandchildren in families of different structures. The formulated expectations have been verified with the Social Support Scale (SSS, Student’s Life Satisfaction Scale (SLSS and an individual personal survey. The obtained results show that in families of single mothers, the emotional and informative support offered by grandparents was a significant factor improving the quality of the life of the grandchildren. In a complete family, however, the significant forms of support from grandparents were esteem support and its other forms, except for informative support. Moreover, the material wealth of the original family was shown to be an important predictor of the evaluation of the quality of life of the grandchildren; it was judged more negatively by adolescent children of single mothers.

  20. Follicle Detection on the USG Images to Support Determination of Polycystic Ovary Syndrome

    Science.gov (United States)

    Adiwijaya; Purnama, B.; Hasyim, A.; Septiani, M. D.; Wisesty, U. N.; Astuti, W.

    2015-06-01

    Polycystic Ovary Syndrome(PCOS) is the most common endocrine disorders affected to female in their reproductive cycle. This has gained the attention from married couple which affected by infertility. One of the diagnostic criteria considereded by the doctor is analysing manually the ovary USG image to detect the number and size of ovary's follicle. This analysis may affect low varibilites, reproducibility, and efficiency. To overcome this problems. automatic scheme is suggested to detect the follicle on USG image in supporting PCOS diagnosis. The first scheme is determining the initial homogeneous region which will be segmented into real follicle form The next scheme is selecting the appropriate regions to follicle criteria. then measuring the segmented region attribute as the follicle. The measurement remains the number and size that aimed at categorizing the image into the PCOS or non-PCOS. The method used is region growing which includes region-based and seed-based. To measure the follicle diameter. there will be the different method including stereology and euclidean distance. The most optimum system plan to detect PCO is by using region growing and by using euclidean distance on quantification of follicle.

  1. Social support and marginalization as determinants of prenatal care in women with social security in Mexico.

    Science.gov (United States)

    Maldonado-Cisneros, Maritza; Medina-Gómez, Oswaldo Sinoe

    2018-01-01

    Prenatal care ensures favorable results for maternal-fetal health and, to that end, it must be provided early, periodically, comprehensively and with high coverage. To find out the social determinants of prenatal care in women affiliated to the Mexican Institute of Social Security during 2014. Cross-sectional study where the association of social conditions, social support and family functioning with inadequate prenatal care was analyzed. A descriptive analysis was performed; hypothesis tests were used with chi-square (95% level of confidence). The prevalence ratio and Mann-Whitney's U-test were estimated to compare medians and logistic regression. Of the interviewed women, 58.1% had inadequate prenatal care, mainly associated with unplanned pregnancy, poor social support, low level of education and higher marginalization. Not having leaves of absence granted by employers was the main barrier in those women who did not attend health services. There is a need for strategies to be designed and implemented to enable understanding the interaction between different biological and social dimensions of the health-disease process and reduce health inequities that affect pregnant women, in order to achieve good prenatal care and to implement alternative models guaranteeing its efficiency. Copyright: © 2018 SecretarÍa de Salud.

  2. Observation of the $ \\chi_{\\mathrm{b}1}(\\text{3P}) $ and $ \\chi_{\\mathrm{b}2}(\\text{3P}) $ and measurement of their masses

    CERN Document Server

    Sirunyan, Albert M; CMS Collaboration; Adam, Wolfgang; Ambrogi, Federico; Asilar, Ece; Bergauer, Thomas; Brandstetter, Johannes; Dragicevic, Marko; Erö, Janos; Escalante Del Valle, Alberto; Flechl, Martin; Fruehwirth, Rudolf; Ghete, Vasile Mihai; Hrubec, Josef; Jeitler, Manfred; Krammer, Natascha; Krätschmer, Ilse; Liko, Dietrich; Madlener, Thomas; Mikulec, Ivan; Rad, Navid; Rohringer, Herbert; Schieck, Jochen; Schöfbeck, Robert; Spanring, Markus; Spitzbart, Daniel; Taurok, Anton; Waltenberger, Wolfgang; Wittmann, Johannes; Wulz, Claudia-Elisabeth; Zarucki, Mateusz; Chekhovsky, Vladimir; Mossolov, Vladimir; Suarez Gonzalez, Juan; De Wolf, Eddi A; Di Croce, Davide; Janssen, Xavier; Lauwers, Jasper; Pieters, Maxim; Van De Klundert, Merijn; Van Haevermaet, Hans; Van Mechelen, Pierre; Van Remortel, Nick; Abu Zeid, Shimaa; Blekman, Freya; D'Hondt, Jorgen; De Bruyn, Isabelle; De Clercq, Jarne; Deroover, Kevin; Flouris, Giannis; Lontkovskyi, Denys; Lowette, Steven; Marchesini, Ivan; Moortgat, Seth; 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Iaydjiev, Plamen; Marinov, Andrey; Misheva, Milena; Rodozov, Mircho; Shopova, Mariana; Sultanov, Georgi; Dimitrov, Anton; Litov, Leander; Pavlov, Borislav; Petkov, Peicho; Fang, Wenxing; Gao, Xuyang; Yuan, Li; Ahmad, Muhammad; Bian, Jian-Guo; Chen, Guo-Ming; Chen, He-Sheng; Chen, Mingshui; Chen, Ye; Jiang, Chun-Hua; Leggat, Duncan; Liao, Hongbo; Liu, Zhenan; Romeo, Francesco; Shaheen, Sarmad Masood; Spiezia, Aniello; Tao, Junquan; Wang, Chunjie; Wang, Zheng; Yazgan, Efe; Zhang, Huaqiao; Zhang, Sijing; Zhao, Jingzhou; Ban, Yong; Chen, Geng; Levin, Andrew; Li, Jing; Li, Linwei; Li, Qiang; Mao, Yajun; Qian, Si-Jin; Wang, Dayong; Xu, Zijun; Wang, Yi; Avila, Carlos; Cabrera, Andrés; Carrillo Montoya, Camilo Andres; Chaparro Sierra, Luisa Fernanda; Florez, Carlos; González Hernández, Carlos Felipe; Segura Delgado, Manuel Alejandro; Courbon, Benoit; Godinovic, Nikola; Lelas, Damir; Puljak, Ivica; Sculac, Toni; Antunovic, Zeljko; Kovac, Marko; Brigljevic, Vuko; Ferencek, Dinko; Kadija, Kreso; 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Nam, Kyungwook; Oh, Sung Bin; Radburn-Smith, Benjamin Charles; Seo, Seon-hee; Yang, Unki; Yoo, Hwi Dong; Yu, Geum Bong; Jeon, Dajeong; Kim, Hyunyong; Kim, Ji Hyun; Lee, Jason Sang Hun; Park, Inkyu; Choi, Young-Il; Hwang, Chanwook; Lee, Jongseok; Yu, Intae; Dudenas, Vytautas; Juodagalvis, Andrius; Vaitkus, Juozas; Ahmed, Ijaz; Ibrahim, Zainol Abidin; Md Ali, Mohd Adli Bin; Mohamad Idris, Faridah; Wan Abdullah, Wan Ahmad Tajuddin; Yusli, Mohd Nizam; Zolkapli, Zukhaimira; Benitez, Jose F; Castaneda Hernandez, Alfredo; Murillo Quijada, Javier Alberto; Duran-Osuna, Cecilia; Castilla-Valdez, Heriberto; De La Cruz-Burelo, Eduard; Ramirez-Sanchez, Gabriel; Heredia-De La Cruz, Ivan; Rabadán-Trejo, Raúl Iraq; Lopez-Fernandez, Ricardo; Mejia Guisao, Jhovanny; Reyes-Almanza, Rogelio; Ramírez García, Mateo; Sánchez Hernández, Alberto; Carrillo Moreno, Salvador; Oropeza Barrera, Cristina; Vazquez Valencia, Fabiola; Eysermans, Jan; Pedraza, Isabel; Salazar Ibarguen, Humberto Antonio; Uribe Estrada, Cecilia; Morelos Pineda, Antonio; Krofcheck, David; Bheesette, Srinidhi; Butler, Philip H; Ahmad, Ashfaq; Ahmad, Muhammad; Asghar, Muhammad Irfan; Hassan, Qamar; Hoorani, Hafeez R; Saddique, Asif; Shah, Mehar Ali; Shoaib, Muhammad; Waqas, Muhammad; Bialkowska, Helena; Bluj, Michal; Boimska, Bozena; Frueboes, Tomasz; Górski, Maciej; Kazana, Malgorzata; Nawrocki, Krzysztof; Szleper, Michal; Traczyk, Piotr; Zalewski, Piotr; Bunkowski, Karol; Byszuk, Adrian; Doroba, Krzysztof; Kalinowski, Artur; Konecki, Marcin; Krolikowski, Jan; Misiura, Maciej; Olszewski, Michal; Pyskir, Andrzej; Walczak, Marek; Araujo, Mariana; Bargassa, Pedrame; Beirão Da Cruz E Silva, Cristóvão; Di Francesco, Agostino; Faccioli, Pietro; Galinhas, Bruno; Gallinaro, Michele; Hollar, Jonathan; Leonardo, Nuno; Nemallapudi, Mythra Varun; Seixas, Joao; Strong, Giles; Toldaiev, Oleksii; Vadruccio, Daniele; Varela, Joao; Afanasiev, Serguei; Bunin, Pavel; Gavrilenko, Mikhail; Golutvin, Igor; Gorbunov, Ilya; Kamenev, Alexey; Karjavine, Vladimir; Lanev, Alexander; Malakhov, Alexander; Matveev, Viktor; Moisenz, Petr; Palichik, Vladimir; Perelygin, Victor; Shmatov, Sergey; Shulha, Siarhei; Skatchkov, Nikolai; Smirnov, Vitaly; Voytishin, Nikolay; Zarubin, Anatoli; Golovtsov, Victor; Ivanov, Yury; Kim, Victor; Kuznetsova, Ekaterina; Levchenko, Petr; Murzin, Victor; Oreshkin, Vadim; Smirnov, Igor; Sosnov, Dmitry; Sulimov, Valentin; Uvarov, Lev; Vavilov, Sergey; Vorobyev, Alexey; Andreev, Yuri; Dermenev, Alexander; Gninenko, Sergei; Golubev, Nikolai; Karneyeu, Anton; Kirsanov, Mikhail; Krasnikov, Nikolai; Pashenkov, Anatoli; Tlisov, Danila; Toropin, Alexander; Epshteyn, Vladimir; Gavrilov, Vladimir; Lychkovskaya, Natalia; Popov, Vladimir; Pozdnyakov, Ivan; Safronov, Grigory; Spiridonov, Alexander; Stepennov, Anton; Stolin, Viatcheslav; Toms, Maria; Vlasov, Evgueni; Zhokin, Alexander; Aushev, Tagir; Chistov, Ruslan; Danilov, Mikhail; Parygin, Pavel; Philippov, Dmitry; Polikarpov, Sergey; Tarkovskii, Evgenii; Andreev, Vladimir; Azarkin, Maksim; Dremin, Igor; Kirakosyan, Martin; Rusakov, Sergey V; Terkulov, Adel; Baskakov, Alexey; Belyaev, Andrey; Boos, Edouard; Dubinin, Mikhail; Dudko, Lev; Ershov, Alexander; Gribushin, Andrey; Klyukhin, Vyacheslav; Kodolova, Olga; Lokhtin, Igor; Miagkov, Igor; Obraztsov, Stepan; Petrushanko, Sergey; Savrin, Viktor; Snigirev, Alexander; Barnyakov, Alexander; Blinov, Vladimir; Dimova, Tatyana; Kardapoltsev, Leonid; Skovpen, Yuri; Azhgirey, Igor; Bayshev, Igor; Bitioukov, Sergei; Elumakhov, Dmitry; Godizov, Anton; Kachanov, Vassili; Kalinin, Alexey; Konstantinov, Dmitri; Mandrik, Petr; Petrov, Vladimir; Ryutin, Roman; Slabospitskii, Sergei; Sobol, Andrei; Troshin, Sergey; Tyurin, Nikolay; Uzunian, Andrey; Volkov, Alexey; Babaev, Anton; Baidali, Sergei; Okhotnikov, Vitalii; Adzic, Petar; Cirkovic, Predrag; Devetak, Damir; Dordevic, Milos; Milosevic, Jovan; Alcaraz Maestre, Juan; Álvarez Fernández, Adrian; Bachiller, Irene; Barrio Luna, Mar; Brochero Cifuentes, Javier Andres; Cerrada, Marcos; Colino, Nicanor; De La Cruz, Begona; Delgado Peris, Antonio; Fernandez Bedoya, Cristina; Fernández Ramos, Juan Pablo; Flix, Jose; Fouz, Maria Cruz; Gonzalez Lopez, Oscar; Goy Lopez, Silvia; Hernandez, Jose M; Josa, Maria Isabel; Moran, Dermot; Pérez-Calero Yzquierdo, Antonio María; Puerta Pelayo, Jesus; Redondo, Ignacio; Romero, Luciano; Senghi Soares, Mara; Triossi, Andrea; Albajar, Carmen; de Trocóniz, Jorge F; Cuevas, Javier; Erice, Carlos; Fernandez Menendez, Javier; Folgueras, Santiago; Gonzalez Caballero, Isidro; González Fernández, Juan Rodrigo; Palencia Cortezon, Enrique; Rodríguez Bouza, Víctor; Sanchez Cruz, Sergio; Vischia, Pietro; Vizan Garcia, Jesus Manuel; Cabrillo, Iban Jose; Calderon, Alicia; Chazin Quero, Barbara; Duarte Campderros, Jordi; Fernandez, Marcos; Fernández Manteca, Pedro José; García Alonso, Andrea; Garcia-Ferrero, Juan; Gomez, Gervasio; Lopez Virto, Amparo; Marco, Jesus; Martinez Rivero, Celso; Martinez Ruiz del Arbol, Pablo; Matorras, Francisco; Piedra Gomez, Jonatan; Prieels, Cédric; Rodrigo, Teresa; Ruiz-Jimeno, Alberto; Scodellaro, Luca; Trevisani, Nicolò; Vila, Ivan; Vilar Cortabitarte, Rocio; Wickramage, Nadeesha; Abbaneo, Duccio; Akgun, Bora; Auffray, Etiennette; Auzinger, Georg; Baillon, Paul; Ball, Austin; Barney, David; Bendavid, Joshua; Bianco, Michele; Bocci, Andrea; Botta, Cristina; Brondolin, Erica; Camporesi, Tiziano; Cepeda, Maria; Cerminara, Gianluca; Chapon, Emilien; Chen, Yi; Cucciati, Giacomo; D'Enterria, David; Dabrowski, Anne; Daponte, Vincenzo; David Tinoco Mendes, Andre; De Roeck, Albert; Deelen, Nikkie; Dobson, Marc; Dünser, Marc; Dupont, Niels; Elliott-Peisert, Anna; Everaerts, Pieter; Fallavollita, Francesco; Fasanella, Daniele; Franzoni, Giovanni; Fulcher, Jonathan; Funk, Wolfgang; Gigi, Dominique; Gilbert, Andrew; Gill, Karl; Glege, Frank; Guilbaud, Maxime; Gulhan, Doga; Hegeman, Jeroen; Innocente, Vincenzo; Jafari, Abideh; Janot, Patrick; Karacheban, Olena; Kieseler, Jan; Kornmayer, Andreas; Krammer, Manfred; Lange, Clemens; Lecoq, Paul; Lourenco, Carlos; Malgeri, Luca; Mannelli, Marcello; Meijers, Frans; Merlin, Jeremie Alexandre; Mersi, Stefano; Meschi, Emilio; Milenovic, Predrag; Moortgat, Filip; Mulders, Martijn; Ngadiuba, Jennifer; Nourbakhsh, Shervin; Orfanelli, Styliani; Orsini, Luciano; Pantaleo, Felice; Pape, Luc; Perez, Emmanuel; Peruzzi, Marco; Petrilli, Achille; Petrucciani, Giovanni; Pfeiffer, Andreas; Pierini, Maurizio; Pitters, Florian Michael; Rabady, Dinyar; Racz, Attila; Reis, Thomas; Rolandi, Gigi; Rovere, Marco; Sakulin, Hannes; Schäfer, Christoph; Schwick, Christoph; Seidel, Markus; Selvaggi, Michele; Sharma, Archana; Silva, Pedro; Sphicas, Paraskevas; Stakia, Anna; Steggemann, Jan; Tosi, Mia; Treille, Daniel; Tsirou, Andromachi; Veckalns, Viesturs; Zeuner, Wolfram Dietrich; Caminada, Lea; Deiters, Konrad; Erdmann, Wolfram; Horisberger, Roland; Ingram, Quentin; Kaestli, Hans-Christian; Kotlinski, Danek; Langenegger, Urs; Rohe, Tilman; Wiederkehr, Stephan Albert; Backhaus, Malte; Bäni, Lukas; Berger, Pirmin; Chernyavskaya, Nadezda; Dissertori, Günther; Dittmar, Michael; Donegà, Mauro; Dorfer, Christian; Grab, Christoph; Heidegger, Constantin; Hits, Dmitry; Hoss, Jan; Klijnsma, Thomas; Lustermann, Werner; Manzoni, Riccardo Andrea; Marionneau, Matthieu; Meinhard, Maren Tabea; Micheli, Francesco; Musella, Pasquale; Nessi-Tedaldi, Francesca; Pata, Joosep; Pauss, Felicitas; Perrin, Gaël; Perrozzi, Luca; Pigazzini, Simone; Quittnat, Milena; Ruini, Daniele; Sanz Becerra, Diego Alejandro; Schönenberger, Myriam; Shchutska, Lesya; Tavolaro, Vittorio Raoul; Theofilatos, Konstantinos; Vesterbacka Olsson, Minna Leonora; Wallny, Rainer; Zhu, De Hua; Aarrestad, Thea Klaeboe; Amsler, Claude; Brzhechko, Danyyl; Canelli, Maria Florencia; De Cosa, Annapaola; Del Burgo, Riccardo; Donato, Silvio; Galloni, Camilla; Hreus, Tomas; Kilminster, Benjamin; Leontsinis, Stefanos; Neutelings, Izaak; Pinna, Deborah; Rauco, Giorgia; Robmann, Peter; Salerno, Daniel; Schweiger, Korbinian; Seitz, Claudia; Takahashi, Yuta; Zucchetta, Alberto; Chang, Yu-Hsiang; Cheng, Kai-yu; Doan, Thi Hien; Jain, Shilpi; Khurana, Raman; Kuo, Chia-Ming; Lin, Willis; Pozdnyakov, Andrey; Yu, Shin-Shan; Chang, Paoti; Chao, Yuan; Chen, Kai-Feng; Chen, Po-Hsun; Hou, George Wei-Shu; Kumar, Arun; Li, You-ying; Liu, Yueh-Feng; Lu, Rong-Shyang; Paganis, Efstathios; Psallidas, Andreas; Steen, Arnaud; Asavapibhop, Burin; Srimanobhas, Norraphat; Suwonjandee, Narumon; Bat, Ayse; Boran, Fatma; Cerci, Salim; Damarseckin, Serdal; Demiroglu, Zuhal Seyma; Dolek, Furkan; Dozen, Candan; Dumanoglu, Isa; Girgis, Semiray; Gokbulut, Gul; Guler, Yalcin; Gurpinar, Emine; Hos, Ilknur; Isik, Candan; Kangal, Evrim Ersin; Kara, Ozgun; Kayis Topaksu, Aysel; Kiminsu, Ugur; Oglakci, Mehmet; Onengut, Gulsen; Ozdemir, Kadri; Ozturk, Sertac; Sunar Cerci, Deniz; Tali, Bayram; Tok, Ufuk Guney; Turkcapar, Semra; Zorbakir, Ibrahim Soner; Zorbilmez, Caglar; Isildak, Bora; Karapinar, Guler; Yalvac, Metin; Zeyrek, Mehmet; Atakisi, Ismail Okan; Gülmez, Erhan; Kaya, Mithat; Kaya, Ozlem; Tekten, Sevgi; Yetkin, Elif Asli; Agaras, Merve Nazlim; Atay, Serhat; Cakir, Altan; Cankocak, Kerem; Komurcu, Yildiray; Sen, Sercan; Grynyov, Boris; Levchuk, Leonid; Ball, Fionn; Beck, Lana; Brooke, James John; Burns, Douglas; Clement, Emyr; Cussans, David; Davignon, Olivier; Flacher, Henning; Goldstein, Joel; Heath, Greg P; Heath, Helen F; Kreczko, Lukasz; Newbold, Dave M; Paramesvaran, Sudarshan; Penning, Bjoern; Sakuma, Tai; Smith, Dominic; Smith, Vincent J; Taylor, Joseph; Titterton, Alexander; Bell, Ken W; Belyaev, Alexander; Brew, Christopher; Brown, Robert M; Cieri, Davide; Cockerill, David JA; Coughlan, John A; Harder, Kristian; Harper, Sam; Linacre, Jacob; Olaiya, Emmanuel; Petyt, David; Shepherd-Themistocleous, Claire; Thea, Alessandro; Tomalin, Ian R; Williams, Thomas; Womersley, William John; Bainbridge, Robert; Bloch, Philippe; Borg, Johan; Breeze, Shane; Buchmuller, Oliver; Bundock, Aaron; Casasso, Stefano; Colling, David; Corpe, Louie; Dauncey, Paul; Davies, Gavin; Della Negra, Michel; Di Maria, Riccardo; Haddad, Yacine; Hall, Geoffrey; Iles, Gregory; James, Thomas; Komm, Matthias; Laner, Christian; Lyons, Louis; Magnan, Anne-Marie; Malik, Sarah; Martelli, Arabella; Nash, Jordan; Nikitenko, Alexander; Palladino, Vito; Pesaresi, Mark; Richards, Alexander; Rose, Andrew; Scott, Edward; Seez, Christopher; Shtipliyski, Antoni; Singh, Gurpreet; Stoye, Markus; Strebler, Thomas; Summers, Sioni; Tapper, Alexander; Uchida, Kirika; Virdee, Tejinder; Wardle, Nicholas; Winterbottom, Daniel; Wright, Jack; Zenz, Seth Conrad; Cole, Joanne; Hobson, Peter R; Khan, Akram; Kyberd, Paul; Mackay, Catherine Kirsty; Morton, Alexander; Reid, Ivan; Teodorescu, Liliana; Zahid, Sema; Call, Kenneth; Dittmann, Jay; Hatakeyama, Kenichi; Liu, Hongxuan; Madrid, Christopher; Mcmaster, Brooks; Pastika, Nathaniel; Smith, Caleb; Bartek, Rachel; Dominguez, Aaron; Buccilli, Andrew; Cooper, Seth; Henderson, Conor; Rumerio, Paolo; West, Christopher; Arcaro, Daniel; Bose, Tulika; Gastler, Daniel; Rankin, Dylan; Richardson, Clint; Rohlf, James; Sulak, Lawrence; Zou, David; Benelli, Gabriele; Coubez, Xavier; Cutts, David; Hadley, Mary; Hakala, John; Heintz, Ulrich; Hogan, Julie Managan; Kwok, Ka Hei Martin; Laird, Edward; Landsberg, Greg; Lee, Jangbae; Mao, Zaixing; Narain, Meenakshi; Piperov, Stefan; Sagir, Sinan; Syarif, Rizki; Usai, Emanuele; Yu, David; Band, Reyer; Brainerd, Christopher; Breedon, Richard; Burns, Dustin; Calderon De La Barca Sanchez, Manuel; Chertok, Maxwell; Conway, John; Conway, Rylan; Cox, Peter Timothy; Erbacher, Robin; Flores, Chad; Funk, Garrett; Ko, Winston; Kukral, Ota; Lander, Richard; Mulhearn, Michael; Pellett, Dave; Pilot, Justin; Shalhout, Shalhout; Shi, Mengyao; Stolp, Dustin; Taylor, Devin; Tos, Kyle; Tripathi, Mani; Wang, Zhangqier; Zhang, Fengwangdong; Bachtis, Michail; Bravo, Cameron; Cousins, Robert; Dasgupta, Abhigyan; Florent, Alice; Hauser, Jay; Ignatenko, Mikhail; Mccoll, Nickolas; Regnard, Simon; Saltzberg, David; Schnaible, Christian; Valuev, Vyacheslav; Bouvier, Elvire; Burt, Kira; Clare, Robert; Gary, J William; Ghiasi Shirazi, Seyyed Mohammad Amin; Hanson, Gail; Karapostoli, Georgia; Kennedy, Elizabeth; Lacroix, Florent; Long, Owen Rosser; Olmedo Negrete, Manuel; Paneva, Mirena Ivova; Si, Weinan; Wang, Long; Wei, Hua; Wimpenny, Stephen; Yates, Brent; Branson, James G; Cittolin, Sergio; Derdzinski, Mark; Gerosa, Raffaele; Gilbert, Dylan; Hashemi, Bobak; Holzner, André; Klein, Daniel; Kole, Gouranga; Krutelyov, Vyacheslav; Letts, James; Masciovecchio, Mario; Olivito, Dominick; Padhi, Sanjay; Pieri, Marco; Sani, Matteo; Sharma, Vivek; Simon, Sean; Tadel, Matevz; Vartak, Adish; Wasserbaech, Steven; Wood, John; Würthwein, Frank; Yagil, Avraham; Zevi Della Porta, Giovanni; Amin, Nick; Bhandari, Rohan; Bradmiller-Feld, John; Campagnari, Claudio; Citron, Matthew; Dishaw, Adam; Dutta, Valentina; Franco Sevilla, Manuel; Gouskos, Loukas; Heller, Ryan; Incandela, Joe; Ovcharova, Ana; Qu, Huilin; Richman, Jeffrey; Stuart, David; Suarez, Indara; Wang, Sicheng; Yoo, Jaehyeok; Anderson, Dustin; Bornheim, Adolf; Lawhorn, Jay Mathew; Newman, Harvey B; Nguyen, Thong; Spiropulu, Maria; Vlimant, Jean-Roch; Wilkinson, Richard; Xie, Si; Zhang, Zhicai; Zhu, Ren-Yuan; Andrews, Michael Benjamin; Ferguson, Thomas; Mudholkar, Tanmay; Paulini, Manfred; Sun, Menglei; Vorobiev, Igor; Weinberg, Marc; Cumalat, John Perry; Ford, William T; Jensen, Frank; Johnson, Andrew; Krohn, Michael; MacDonald, Emily; Mulholland, Troy; Stenson, Kevin; Ulmer, Keith; Wagner, Stephen Robert; Alexander, James; Chaves, Jorge; Cheng, Yangyang; Chu, Jennifer; Datta, Abhisek; Mcdermott, Kevin; Mirman, Nathan; Patterson, Juliet Ritchie; Quach, Dan; Rinkevicius, Aurelijus; Ryd, Anders; Skinnari, Louise; Soffi, Livia; Tan, Shao Min; Tao, Zhengcheng; Thom, Julia; Tucker, Jordan; Wittich, Peter; Zientek, Margaret; Abdullin, Salavat; Albrow, Michael; Alyari, Maral; Apollinari, Giorgio; Apresyan, Artur; Apyan, Aram; Banerjee, Sunanda; Bauerdick, Lothar AT; Beretvas, Andrew; Berryhill, Jeffrey; Bhat, Pushpalatha C; Bolla, Gino; Burkett, Kevin; Butler, Joel Nathan; Canepa, Anadi; Cerati, Giuseppe Benedetto; Cheung, Harry; Chlebana, Frank; Cremonesi, Matteo; Duarte, Javier; Elvira, Victor Daniel; Freeman, Jim; Gecse, Zoltan; Gottschalk, Erik; Gray, Lindsey; Green, Dan; Grünendahl, Stefan; Gutsche, Oliver; Hanlon, Jim; Harris, Robert M; Hasegawa, Satoshi; Hirschauer, James; Hu, Zhen; Jayatilaka, Bodhitha; Jindariani, Sergo; Johnson, Marvin; Joshi, Umesh; Klima, Boaz; Kortelainen, Matti J; Kreis, Benjamin; Lammel, Stephan; Lincoln, Don; Lipton, Ron; Liu, Miaoyuan; Liu, Tiehui; Lykken, Joseph; Maeshima, Kaori; Marraffino, John Michael; Mason, David; McBride, Patricia; Merkel, Petra; Mrenna, Stephen; Nahn, Steve; O'Dell, Vivian; Pedro, Kevin; Pena, Cristian; Prokofyev, Oleg; Rakness, Gregory; Ristori, Luciano; Savoy-Navarro, Aurore; Schneider, Basil; Sexton-Kennedy, Elizabeth; Soha, Aron; Spalding, William J; Spiegel, Leonard; Stoynev, Stoyan; Strait, James; Strobbe, Nadja; Taylor, Lucas; Tkaczyk, Slawek; Tran, Nhan Viet; Uplegger, Lorenzo; Vaandering, Eric Wayne; Vernieri, Caterina; Verzocchi, Marco; Vidal, Richard; Wang, Michael; Weber, Hannsjoerg Artur; Whitbeck, Andrew; Acosta, Darin; Avery, Paul; Bortignon, Pierluigi; Bourilkov, Dimitri; Brinkerhoff, Andrew; Cadamuro, Luca; Carnes, Andrew; Carver, Matthew; Curry, David; Field, Richard D; Gleyzer, Sergei V; Joshi, Bhargav Madhusudan; Konigsberg, Jacobo; Korytov, Andrey; Ma, Peisen; Matchev, Konstantin; Mei, Hualin; Mitselmakher, Guenakh; Shi, Kun; Sperka, David; Wang, Jian; Wang, Sean-Jiun; Joshi, Yagya Raj; Linn, Stephan; Ackert, Andrew; Adams, Todd; Askew, Andrew; Hagopian, Sharon; Hagopian, Vasken; Johnson, Kurtis F; Kolberg, Ted; Martinez, German; Perry, Thomas; Prosper, Harrison; Saha, Anirban; Schiber, Catherine; Sharma, Varun; Yohay, Rachel; Baarmand, Marc M; Bhopatkar, Vallary; Colafranceschi, Stefano; Hohlmann, Marcus; Noonan, Daniel; Rahmani, Mehdi; Roy, Titas; Yumiceva, Francisco; Adams, Mark Raymond; Apanasevich, Leonard; Berry, Douglas; Betts, Russell Richard; Cavanaugh, Richard; Chen, Xuan; Dittmer, Susan; Evdokimov, Olga; Gerber, Cecilia Elena; Hangal, Dhanush Anil; Hofman, David Jonathan; Jung, Kurt; Kamin, Jason; Mills, Corrinne; Sandoval Gonzalez, Irving Daniel; Tonjes, Marguerite; Varelas, Nikos; Wang, Hui; Wang, Xiao; Wu, Zhenbin; Zhang, Jingyu; Alhusseini, Mohammad; Bilki, Burak; Clarida, Warren; Dilsiz, Kamuran; Durgut, Süleyman; Gandrajula, Reddy Pratap; Haytmyradov, Maksat; Khristenko, Viktor; Merlo, Jean-Pierre; Mestvirishvili, Alexi; Moeller, Anthony; Nachtman, Jane; Ogul, Hasan; Onel, Yasar; Ozok, Ferhat; Penzo, Aldo; Snyder, Christina; Tiras, Emrah; Wetzel, James; Blumenfeld, Barry; Cocoros, Alice; Eminizer, Nicholas; Fehling, David; Feng, Lei; Gritsan, Andrei; Hung, Wai Ting; Maksimovic, Petar; Roskes, Jeffrey; Sarica, Ulascan; Swartz, Morris; Xiao, Meng; You, Can; Al-bataineh, Ayman; Baringer, Philip; Bean, Alice; Boren, Samuel; Bowen, James; Bylinkin, Alexander; Castle, James; Khalil, Sadia; Kropivnitskaya, Anna; Majumder, Devdatta; Mcbrayer, William; Murray, Michael; Rogan, Christopher; Sanders, Stephen; Schmitz, Erich; Tapia Takaki, Daniel; Wang, Quan; Duric, Senka; Ivanov, Andrew; Kaadze, Ketino; Kim, Doyeong; Maravin, Yurii; Mendis, Dalath Rachitha; Mitchell, Tyler; Modak, Atanu; Mohammadi, Abdollah; Saini, Lovedeep Kaur; Skhirtladze, Nikoloz; Rebassoo, Finn; Wright, Douglas; Baden, Drew; Baron, Owen; Belloni, Alberto; Eno, Sarah Catherine; Feng, Yongbin; Ferraioli, Charles; Hadley, Nicholas John; Jabeen, Shabnam; Jeng, Geng-Yuan; Kellogg, Richard G; Kunkle, Joshua; Mignerey, Alice; Ricci-Tam, Francesca; Shin, Young Ho; Skuja, Andris; Tonwar, Suresh C; Wong, Kak; Abercrombie, Daniel; Allen, Brandon; Azzolini, Virginia; Baty, Austin; Bauer, Gerry; Bi, Ran; Brandt, Stephanie; Busza, Wit; Cali, Ivan Amos; D'Alfonso, Mariarosaria; Demiragli, Zeynep; Gomez Ceballos, Guillelmo; Goncharov, Maxim; Harris, Philip; Hsu, Dylan; Hu, Miao; Iiyama, Yutaro; Innocenti, Gian Michele; Klute, Markus; Kovalskyi, Dmytro; Lee, Yen-Jie; Luckey, Paul David; Maier, Benedikt; Marini, Andrea Carlo; Mcginn, Christopher; Mironov, Camelia; Narayanan, Siddharth; Niu, Xinmei; Paus, Christoph; Roland, Christof; Roland, Gunther; Stephans, George; Sumorok, Konstanty; Tatar, Kaya; Velicanu, Dragos; Wang, Jing; Wang, Ta-Wei; Wyslouch, Bolek; Zhaozhong, Shi; Benvenuti, Alberto; Chatterjee, Rajdeep Mohan; Evans, Andrew; Hansen, Peter; Kalafut, Sean; Kubota, Yuichi; Lesko, Zachary; Mans, Jeremy; Ruckstuhl, Nicole; Rusack, Roger; Turkewitz, Jared; Wadud, Mohammad Abrar; Acosta, John Gabriel; Oliveros, Sandra; Avdeeva, Ekaterina; Bloom, Kenneth; Claes, Daniel R; Fangmeier, Caleb; Golf, Frank; Gonzalez Suarez, Rebeca; Kamalieddin, Rami; Kravchenko, Ilya; Monroy, Jose; Siado, Joaquin Emilo; Snow, Gregory R; Stieger, Benjamin; Godshalk, Andrew; Harrington, Charles; Iashvili, Ia; Kharchilava, Avto; Mclean, Christine; Nguyen, Duong; Parker, Ashley; Rappoccio, Salvatore; Roozbahani, Bahareh; Alverson, George; Barberis, Emanuela; Freer, Chad; Hortiangtham, Apichart; Morse, David Michael; Orimoto, Toyoko; Teixeira De Lima, Rafael; Wamorkar, Tanvi; Wang, Bingran; Wisecarver, Andrew; Wood, Darien; Bhattacharya, Saptaparna; Charaf, Otman; Hahn, Kristan Allan; Mucia, Nicholas; Odell, Nathaniel; Schmitt, Michael Henry; Sung, Kevin; Trovato, Marco; Velasco, Mayda; Bucci, Rachael; Dev, Nabarun; Hildreth, Michael; Hurtado Anampa, Kenyi; Jessop, Colin; Karmgard, Daniel John; Kellams, Nathan; Lannon, Kevin; Li, Wenzhao; Loukas, Nikitas; Marinelli, Nancy; Meng, Fanbo; Mueller, Charles; Musienko, Yuri; Planer, Michael; Reinsvold, Allison; Ruchti, Randy; Siddireddy, Prasanna; Smith, Geoffrey; Taroni, Silvia; Wayne, Mitchell; Wightman, Andrew; Wolf, Matthias; Woodard, Anna; Alimena, Juliette; Antonelli, Louis; Bylsma, Ben; Durkin, Lloyd Stanley; Flowers, Sean; Francis, Brian; Hart, Andrew; Hill, Christopher; Ji, Weifeng; Ling, Ta-Yung; Luo, Wuming; Winer, Brian L; Wulsin, Howard Wells; Cooperstein, Stephane; Elmer, Peter; Hardenbrook, Joshua; Higginbotham, Samuel; Kalogeropoulos, Alexis; Lange, David; Lucchini, Marco Toliman; Luo, Jingyu; Marlow, Daniel; Mei, Kelvin; Ojalvo, Isabel; Olsen, James; Palmer, Christopher; Piroué, Pierre; Salfeld-Nebgen, Jakob; Stickland, David; Tully, Christopher; Malik, Sudhir; Norberg, Scarlet; Barker, Anthony; Barnes, Virgil E; Das, Souvik; Gutay, Laszlo; Jones, Matthew; Jung, Andreas Werner; Khatiwada, Ajeeta; Mahakud, Bibhuprasad; Miller, David Harry; Neumeister, Norbert; Peng, Cheng-Chieh; Qiu, Hao; Schulte, Jan-Frederik; Sun, Jian; Wang, Fuqiang; Xiao, Rui; Xie, Wei; Cheng, Tongguang; Dolen, James; Parashar, Neeti; Chen, Zhenyu; Ecklund, Karl Matthew; Freed, Sarah; Geurts, Frank JM; Kilpatrick, Matthew; Li, Wei; Michlin, Benjamin; Padley, Brian Paul; Roberts, Jay; Rorie, Jamal; Shi, Wei; Tu, Zhoudunming; Zabel, James; Zhang, Aobo; Bodek, Arie; de Barbaro, Pawel; Demina, Regina; Duh, Yi-ting; Dulemba, Joseph Lynn; Fallon, Colin; Ferbel, Thomas; Galanti, Mario; Garcia-Bellido, Aran; Han, Jiyeon; Hindrichs, Otto; Khukhunaishvili, Aleko; Lo, Kin Ho; Tan, Ping; Taus, Rhys; Verzetti, Mauro; Agapitos, Antonis; Chou, John Paul; Gershtein, Yuri; Gómez Espinosa, Tirso Alejandro; Halkiadakis, Eva; Heindl, Maximilian; Hughes, Elliot; Kaplan, Steven; Kunnawalkam Elayavalli, Raghav; Kyriacou, Savvas; Lath, Amitabh; Montalvo, Roy; Nash, Kevin; Osherson, Marc; Saka, Halil; Salur, Sevil; Schnetzer, Steve; Sheffield, David; Somalwar, Sunil; Stone, Robert; Thomas, Scott; Thomassen, Peter; Walker, Matthew; Delannoy, Andrés G; Heideman, Joseph; Riley, Grant; Spanier, Stefan; Thapa, Krishna; Bouhali, Othmane; Celik, Ali; Dalchenko, Mykhailo; De Mattia, Marco; Delgado, Andrea; Dildick, Sven; Eusebi, Ricardo; Gilmore, Jason; Huang, Tao; Kamon, Teruki; Luo, Sifu; Mueller, Ryan; Patel, Rishi; Perloff, Alexx; Perniè, Luca; Rathjens, Denis; Safonov, Alexei; Akchurin, Nural; Damgov, Jordan; De Guio, Federico; Dudero, Phillip Russell; Kunori, Shuichi; Lamichhane, Kamal; Lee, Sung Won; Mengke, Tielige; Muthumuni, Samila; Peltola, Timo; Undleeb, Sonaina; Volobouev, Igor; Wang, Zhixing; Greene, Senta; Gurrola, Alfredo; Janjam, Ravi; Johns, Willard; Maguire, Charles; Melo, Andrew; Ni, Hong; Padeken, Klaas; Ruiz Alvarez, José David; Sheldon, Paul; Tuo, Shengquan; Velkovska, Julia; Verweij, Marta; Xu, Qiao; Arenton, Michael Wayne; Barria, Patrizia; Cox, Bradley; Hirosky, Robert; Joyce, Matthew; Ledovskoy, Alexander; Li, Hengne; Neu, Christopher; Sinthuprasith, Tutanon; Wang, Yanchu; Wolfe, Evan; Xia, Fan; Harr, Robert; Karchin, Paul Edmund; Poudyal, Nabin; Sturdy, Jared; Thapa, Prakash; Zaleski, Shawn; Brodski, Michael; Buchanan, James; Caillol, Cécile; Carlsmith, Duncan; Dasu, Sridhara; Dodd, Laura; Gomber, Bhawna; Grothe, Monika; Herndon, Matthew; Hervé, Alain; Hussain, Usama; Klabbers, Pamela; Lanaro, Armando; Long, Kenneth; Loveless, Richard; Ruggles, Tyler; Savin, Alexander; Smith, Nicholas; Smith, Wesley H; Woods, Nathaniel

    2018-01-01

    The $ \\chi_{\\mathrm{b}1}(\\text{3P}) $ and $ \\chi_{\\mathrm{b}2}(\\text{3P}) $ states are observed through their $ \\Upsilon(\\text{3S}) \\gamma$ decays, using an event sample of proton-proton collisions collected by the CMS experiment at the CERN LHC. The data were collected at a center-of-mass energy of 13 TeV and correspond to an integrated luminosity of 80.0 fb$^{-1}$. The $ \\Upsilon(\\text{3S}) $ mesons are identified through their dimuon decay channel, while the low-energy photons are detected after converting to $ \\mathrm{ e^{+}e^{-} } $ pairs in the silicon tracker, leading to a $ \\chi_{\\mathrm{b}}(\\text{3P}) $ mass resolution of 2.2 MeV. This is the first time that the $J = $ 1 and 2 states are well resolved and their masses individually measured: 10 513.42 $\\pm$ 0.41 (stat) $\\pm$ 0.18 (syst) MeV and 10 524.02 $\\pm$ 0.57 (stat) $\\pm$ 0.18 (syst) MeV; they are determined with respect to the world-average value of the $ \\Upsilon(\\text{3S}) $ mass, which has an uncertainty of 0.5 MeV. The mass splitting is me...

  3. KNOWLEDGE IS REFERENCE FACILITIES OF SUPPORT OF PROCESSES OF INFORMATIVE ACCOMPANIMENT OF MEDICAL SERVICE OF POPULATION (first report

    Directory of Open Access Journals (Sweden)

    O. P. Mintser

    2012-11-01

    Full Text Available Described approaches, models and facilities of forming of the systems of knowledges, by the s purpose of support of grant informatively consultative services at medical practice of doctor. Ontological models, facilities of linguistic analysis and visualization of reflection of objects of medical industry, are determined.

  4. Measuring nursing support during childbirth.

    Science.gov (United States)

    Gale, J; Fothergill-Bourbonnais, F; Chamberlain, M

    2001-01-01

    To examine the amount of support being provided by nurses to women during childbirth and factors that influence the provision of support. Exploratory, descriptive. Work sampling method was used to determine the percentage of time nurses spend in supportive care activities. Twelve nurses were observed over six nonconsecutive day shifts on a birthing unit of a Canadian teaching hospital in Quebec. A total of 404 observations were made. Nurses were also interviewed to determine their perceptions of what constitutes supportive nursing care and the factors that facilitate or inhibit the provision of this care. Nurses spent only 12.4% of their total time providing supportive care to laboring women. Interviews with nurses suggested that perceptions of the components of supportive care were comparable to this study's operational definition of support, namely: physical, emotional, and instructional/informational support and advocacy. Barriers to providing support identified by nurses included lack of time and insufficient staff. However, further content analysis of the interview data revealed that healthcare providers had a pervasive sense of control over laboring women and their partners. Although nursing support has been identified as an important aspect of nursing care in childbirth, this study demonstrated an incongruity between what nurses perceived as being supportive care and the amount of support that was actually provided. Barriers to the provision of supportive care in the practice setting as well as suggestions for its enhancement are discussed.

  5. Fuzzy Reasoning as a Base for Collision Avoidance Decision Support System

    Directory of Open Access Journals (Sweden)

    tanja brcko

    2013-12-01

    Full Text Available Despite the generally high qualifications of seafarers, many maritime accidents are caused by human error; such accidents include capsizing, collision, and fire, and often result in pollution. Enough concern has been generated that researchers around the world have developed the study of the human factor into an independent scientific discipline. A great deal of progress has been made, particularly in the area of artificial intelligence. But since total autonomy is not yet expedient, the decision support systems based on soft computing are proposed to support human navigators and VTS operators in times of crisis as well as during the execution of everyday tasks as a means of reducing risk levels.This paper considers a decision support system based on fuzzy logic integrated into an existing bridge collision avoidance system. The main goal is to determine the appropriate course of avoidance, using fuzzy reasoning.

  6. Prenatal family support, postnatal family support and postpartum depression.

    Science.gov (United States)

    Xie, Ri-Hua; Yang, Jianzhou; Liao, Shunping; Xie, Haiyan; Walker, Mark; Wen, Shi Wu

    2010-08-01

    Inadequate social support is an important determinant of postpartum depression (PPD). Social support for pregnant women consists of supports from various sources and can be measured at different gestation periods. Differentiating the effects of social support from different sources and measured at different gestation periods may have important implications in the prevention of PPD. In the family centred Chinese culture, family support is likely to be one of the most important components in social support. The aim of this study was to assess the association of prenatal family support and postnatal family support with PPD. A prospective cohort study was conducted between February and September 2007 in Hunan, China. Family support was measured with social support rating scale at 30-32 weeks of gestation (prenatal support) and again at 2 weeks of postpartum visit (postnatal support). PPD was defined as Edinburgh Postnatal Depression Scale (EPDS) score > or =13. A total of 534 pregnant women were included, and among them, 103 (19.3%) scored 13 or more on the EPDS. PPD was 19.4% in the lowest tertile versus 18.4% in the highest quartile (adjusted odds ratio: 1.04, 95% confidence interval 0.60, 1.80) for prenatal support from all family members, and PPD was 39.8% in the lowest tertile versus 9.6% in the highest tertile (adjusted odds ratio: 4.4, 95% confidence interval 2.3, 8.4) for postnatal support from all family members. Among family members, support from husband had the largest impact on the risk of developing PPD. Lack of postnatal family support, especially the support from husband, is an important risk factor of PPD.

  7. Computer simulation of yielding supports under static and short-term dynamic load

    Directory of Open Access Journals (Sweden)

    Kumpyak Oleg

    2018-01-01

    Full Text Available Dynamic impacts that became frequent lately cause large human and economic losses, and their prevention methods are not always effective and reasonable. The given research aims at studying the way of enhancing explosion safety of building structures by means of yielding supports. The paper presents results of numerical studies of strength and deformation property of yielding supports in the shape of annular tubes under static and short-term dynamic loading. The degree of influence of yielding supports was assessed taking into account three peculiar stages of deformation: elastic; elasto-plastic; and elasto-plastic with hardening. The methodology for numerical studies performance was described using finite element analysis with program software Ansys Mechanical v17.2. It was established that rigidity of yielding supports influences significantly their stress-strain state. The research determined that with the increase in deformable elements rigidity dependence between load and deformation of the support in elastic and plastic stages have linear character. Significant reduction of the dynamic response and increase in deformation time of yielding supports were observed due to increasing the plastic component. Therefore, it allows assuming on possibility of their application as supporting units in RC beams.

  8. Should We Trust in Values? Explaining Public Support for Pro-Environmental Taxes

    Directory of Open Access Journals (Sweden)

    Sverker C. Jagers

    2013-01-01

    Full Text Available In this paper we are concerned with what explains public acceptance and support of environmental taxes. We examine findings in environmental psychology emphasizing that people’s (environmental value-orientation is the dominant driver determining individuals’ support for pro-environmental policy instruments. We introduce a complementary model, mainly drawing upon findings in political science, suggesting that people’s support for policy instruments is dependent on their level of political trust and their trust in other citizens. More specifically, we analyze whether political trust and inter-personal trust affect individuals’ support for an increased carbon dioxide tax in Sweden, while checking their value orientation, self-interest, and various socio-economic values. We make use of survey data obtained from a mail questionnaire sent out to a random sample of 3,000 individuals in 2009. We find that apart from people’s values, beliefs, and norms, both political trust and interpersonal trust have significant effects on people's attitudes toward an increased tax on carbon dioxide.

  9. Portrayals of Wundt and Titchener in Introductory Psychology Texts: A Content Analysis.

    Science.gov (United States)

    Zehr, David

    2000-01-01

    Examines the content of introductory psychology books by performing a content analysis on texts from the 1970s and 1990s to determine whether the books incorporated recent historical scholarship in discussions of Wilhelm Wundt and Edward Titchener. Finds that some texts still misrepresent the relation between Wundt and Titchener. (CMK)

  10. Foundational Tests of the Need-Support Model: A Framework for Bridging Regulatory Focus Theory and Self-Determination Theory

    Directory of Open Access Journals (Sweden)

    Leigh Ann Vaughn

    2017-04-01

    Full Text Available This dataset includes data from the three studies reported in my paper on Foundational Tests of the Need-Support Model [6]. I collected these data in 2014, 2015, and 2016 from over 2,100 Amazon Mechanical Turk workers in the United States and Canada. The dataset contains the measures described in the paper, as well as participants’ writing about the experiences they brought to mind in these studies. The data are stored on the Open Science Framework, and they could be used for exploratory research, meta-analyses, and research on replication. I also welcome collaborative research involving re-analyses of these data.

  11. Intervening to improve teachers’ need-supportive behaviour using Self-Determination Theory : Its effects on teachers and on the motivation of students with deafblindness

    NARCIS (Netherlands)

    Haakma, Ineke; Janssen, Marleen; Minnaert, Alexander

    2017-01-01

    Research on Self-Determination Theory has shown that teachers’ need-supportive behaviour is associated with student motivation and engagement. The purpose of this study is to examine the effectiveness of an intervention aimed at increasing the motivation of students with congenital and acquired

  12. Initial results from a charge exchange q-diagnostic on TEXT-U

    International Nuclear Information System (INIS)

    Valanju, P.M.; Duraiappah, L.; Bengtson, R.D.; Karzhavin, Y.; Nikitin, A.

    1994-01-01

    The authors present initial results from a new q-diagnostic for TEXT-Upgrade. This method is based on using a toroidal array of detectors to determine the plane in which beam-injected neutrals are emitted after two charge-exchange collisions. The potential advantages are low cost, full plasma accessibility, and good time resolution. Their initial series of experiments on TEXT-U established the feasibility of this technique

  13. Stimulating Autonomous Learning Environments: Considering Group Efficacy as Mediating the Relationship between Perceived Autonomy Support and Self- Determinism in the Learning Environment

    Science.gov (United States)

    Hogan, Shannon L.

    2012-01-01

    This study researched 120 college students and professors to test the mediation of group efficacy between perceived autonomy support and self-determinism. The study provided surveys to students in eight different classes. Studying multiple classes offered an opportunity to understand the model more effectively and in a broader scope. The classes…

  14. Synthesis of Single-Walled Carbon Nanotubes: Effects of Active Metals, Catalyst Supports, and Metal Loading Percentage

    Directory of Open Access Journals (Sweden)

    Wei-Wen Liu

    2013-01-01

    Full Text Available The effects of active metals, catalyst supports, and metal loading percentage on the formation of single-walled carbon nanotubes (SWNTs were studied. In particular, iron, cobalt, and nickel were investigated for SWNTs synthesis. Iron was found to grow better-quality SWNTs compared to cobalt and nickel. To study the effect of catalyst supports, magnesium oxide, silicon oxide, and aluminium oxide were chosen for iron. Among the studied supports, MgO was identified to be a suitable support for iron as it produced SWNTs with better graphitisation determined by Raman analysis. Increasing the iron loading decreased the quality of SWNTs due to extensive agglomeration of the iron particles. Thus, lower metal loading percentage is preferred to grow better-quality SWNTs with uniform diameters.

  15. Workplace Climate and Peer Support as Determinants of Training Transfer

    Science.gov (United States)

    Martin, Harry J.

    2010-01-01

    Although billions of dollars are spent annually on training and development, much about the transfer processes is not well understood. This study investigated the interaction of workplace climate and peer support on the transfer of learning in a corporate field setting. Supervisor ratings of performance on several skill dimensions were obtained…

  16. Simple Evaluation of Load-Carrying Capacity of Multi-Span Folding Bridges based on Floating Supports

    Directory of Open Access Journals (Sweden)

    Jan Marszałek

    2014-12-01

    Full Text Available [b]Abstract[/b]. The papers covers simple evaluation of load-carrying capacity of multi-span folding bridges based on floating supports. Combined bridges built in this approach, could be used as a temporary crossing. The methodology of this evaluation is shown graphically on the basis of designed nomograms for two existing bridge structures i.e. MS-54 and DMS-65, mounted on rigid and floating supports. These nomograms facilitate the simple and fast determination of the impact of changing fixed support into floating support with different bridge length spans on the carrying capacity of the bridge. The paper also presents the influence of long-term use (enlarging the mounting backlash in the joints of these structures on the carrying capacity of the bridge.[b]Keywords[/b]: building, folding bridges, nomograms, assembly clearances

  17. Support network and social support for children with special health care need

    Directory of Open Access Journals (Sweden)

    Thaís Araújo Barbosa

    2016-02-01

    Full Text Available Objective: to understand and identify the support network and social support from the perspective of families of children with chronic conditions. Methods: a qualitative study, with content analysis of 134 records, followed by ten semi-structured interviews. Results: the analysis has revealed that the primary caregiver, the mother, participates in a network of limited support, only with the help of her husband, children, grandparents and the child´s godparents. They also have a social network through a multidisciplinary team, which in some cases is not effective. Conclusion: families have a deficient and limited support network and the demand for care rely only on the support of the husband, grandparents, children, and godparents. Social networking refers to the philanthropic institutions, while the aid of public service, basic health unit is basic.

  18. Integrated logistic support studies using behavioral Monte Carlo simulation, supported by Generalized Stochastic Petri Nets

    International Nuclear Information System (INIS)

    Garnier, Robert; Chevalier, Marcel

    2000-01-01

    Studying large and complex industrial sites, requires more and more accuracy in modeling. In particular, when considering Spares, Maintenance and Repair / Replacement processes, determining optimal Integrated Logistic Support policies requires a high level modeling formalism, in order to make the model as close as possible to the real considered processes. Generally, numerical methods are used to process this kind of study. In this paper, we propose an alternate way to process optimal Integrated Logistic Support policy determination when dealing with large, complex and distributed multi-policies industrial sites. This method is based on the use of behavioral Monte Carlo simulation, supported by Generalized Stochastic Petri Nets. (author)

  19. Comparisons and Selections of Features and Classifiers for Short Text Classification

    Science.gov (United States)

    Wang, Ye; Zhou, Zhi; Jin, Shan; Liu, Debin; Lu, Mi

    2017-10-01

    Short text is considerably different from traditional long text documents due to its shortness and conciseness, which somehow hinders the applications of conventional machine learning and data mining algorithms in short text classification. According to traditional artificial intelligence methods, we divide short text classification into three steps, namely preprocessing, feature selection and classifier comparison. In this paper, we have illustrated step-by-step how we approach our goals. Specifically, in feature selection, we compared the performance and robustness of the four methods of one-hot encoding, tf-idf weighting, word2vec and paragraph2vec, and in the classification part, we deliberately chose and compared Naive Bayes, Logistic Regression, Support Vector Machine, K-nearest Neighbor and Decision Tree as our classifiers. Then, we compared and analysed the classifiers horizontally with each other and vertically with feature selections. Regarding the datasets, we crawled more than 400,000 short text files from Shanghai and Shenzhen Stock Exchanges and manually labeled them into two classes, the big and the small. There are eight labels in the big class, and 59 labels in the small class.

  20. Determinants of physical activity among patients with type 2 diabetes: the role of perceived autonomy support, autonomous motivation and self-care competence.

    Science.gov (United States)

    Koponen, Anne M; Simonsen, Nina; Suominen, Sakari

    2017-03-01

    Based on self-determination theory (SDT), this study investigated, whether the three central SDT variables (perceived autonomy support, autonomous motivation and self-care competence), were associated with engagement in physical activity (PA) among patients with type 2 diabetes when the effect of a wide variety of other important life-context factors (perceived health, medication, duration of diabetes, mental health, stress and social support) was controlled for. Patients from five municipalities in Finland with registry-based entitlement to a special reimbursement for medicines used in the treatment of type 2 diabetes (n = 2866, mean age 63 years, 56% men) participated in this mail survey in 2011. Of all measured explanatory factors, autonomous motivation was most strongly associated with engagement in PA. Autonomous motivation mediated the effect of perceived autonomy support on patients' PA. Thus, perceived autonomy support (from one's physician) was associated with the patient's PA through autonomous motivation. This result is in line with SDT. Interventions for improved diabetes care should concentrate on supporting patients' autonomous motivation for PA. Internalizing the importance of good self-care seems to give sufficient energy to maintain a physically active lifestyle.

  1. The Effect of Text Chat Assisted with Word Processors on Saudi English Major Students' Writing Accuracy and Productivity of Authentic Texts

    Directory of Open Access Journals (Sweden)

    Ahmad Mosa Batianeh

    2014-10-01

    Full Text Available Abstractــ-This study explored the effects of using online chat and word processors on students' writing skills that include; organizing a text, spelling, punctuation, grammar, phrasal verbs, idioms, idiomatic expressions, pragmatics, creativity, vocabulary growth, content, relational words, conjunctions, authenticity, figures of speech, imagination, coherence, style, socio-cultural aspects, language use, and the production of authentic text. The study group consisted of students in the Department of Languages and Translation at Taibah University who registered for the Writing Two course in the first semester of the 2012 - 2013 academic year. Fourty subjects were divided into two sections: section one was assigned as an experimental group (supported by Facebook and Skype and section two was assigned as a control group and was asked to write their essays with paper and pencil. Facebook and Skype accounts were created for every student in the experimental group. Data was analyzed from pre-test and post-test results to evaluate the question posed by the study: Does the use of online text chat assisted with word processors help undergraduate students develop their writing skills more than traditional methods of teaching? The results revealed that students who worked with Facebook and Skype showed a significant improvement in their writing skills when compared to the control group. In light of these findings, it is recommended that online discussions via Facebook, Skype, and other social media sites should be utilized when teaching writing and the other language skills.

  2. Specifics of Educational Texts Selection for Schoolchildren Doing the Humanities Subjects

    Directory of Open Access Journals (Sweden)

    T. V. Oblasova

    2012-01-01

    Full Text Available The paper proposes the new approach to educational text selection for the humanities teaching. Its specifics is based on the wide interpretation of educational texts, as the culture texts involved in cognitive learning activity and fulfilling the multiple tasks of the related subjects and personal development. The educational text is taken as a generalized model, its content and structure determining the scheme of a speech cognitive activity, as well as the meaning formation mechanism responsible for understanding and personal development. The texts and tasks selection is oriented on schoolchildren’s understanding with the reference to the psycholinguistic, psychological and hermeneutic approaches; information extraction and interpretation level related to the author’s and student’s context. The given approach could provide the basis for developing and structuring the textbooks content for the humanities subjects. 

  3. Computational text analysis and reading comprehension exam complexity towards automatic text classification

    CERN Document Server

    Liontou, Trisevgeni

    2014-01-01

    This book delineates a range of linguistic features that characterise the reading texts used at the B2 (Independent User) and C1 (Proficient User) levels of the Greek State Certificate of English Language Proficiency exams in order to help define text difficulty per level of competence. In addition, it examines whether specific reader variables influence test takers' perceptions of reading comprehension difficulty. The end product is a Text Classification Profile per level of competence and a formula for automatically estimating text difficulty and assigning levels to texts consistently and re

  4. Identity text: an educational intervention to foster cultural interaction

    Directory of Open Access Journals (Sweden)

    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.

  5. A comparison between phone-based psychotherapy with and without text messaging support in between sessions for crisis patients.

    Science.gov (United States)

    Furber, Gareth; Jones, Gabrielle Margaret; Healey, David; Bidargaddi, Niranjan

    2014-10-08

    Few studies have tested whether individually tailored text messaging interventions have an effect on clinical outcomes when used to supplement traditional psychotherapy. This is despite the potential to improve outcomes through symptom monitoring, prompts for between-session activities, and psychoeducation. The intent of the study was to explore the use of individually tailored between-session text messaging, or short message service (SMS), as an adjunct to telephone-based psychotherapy for consumers who present to the Emergency Department (ED) in situational and/or emotional crises. Over a 4-month period, two therapists offered 68 prospective consumers of a telephone-based psychotherapy service individually tailored between-session text messaging alongside their telephone-based psychotherapy. Attendance and clinical outcomes (depression, anxiety, functional impairment) of those receiving messages were compared against a historical control group (n=157) who received telephone psychotherapy only. A total of 66% (45/68) of the consumers offered SMS accepted the intervention. A total of 432 messages were sent over the course of the trial, the majority involving some kind of psychoeducation or reminders to engage in therapy goals. There were no significant differences in clinical outcomes between consumers who received the SMS and those in the control group. There was a trend for participants in the intervention group to attend fewer sessions than those in the control group (mean 3.7, SD 1.9 vs mean 4.4, SD 2.3). Both groups showed significant improvement over time. Individually tailored SMS were not found to improve clinical outcomes in consumers receiving telephone-based psychotherapy, but the study was underpowered, given the effect sizes noted and the significance level chosen. Given the ease of implementation and positive feedback from therapists and clients, individually tailored text messages should be explored further in future trials with a focus on enhancing

  6. BEARING CAPACITY OF A HORIZONTALLY LOADED SINGLE PILE SUPPORT WITH SLEEPERS

    Directory of Open Access Journals (Sweden)

    Buslov Anatoliy Semenovich

    2015-09-01

    Full Text Available The supports of a overhead wiring used in transport take up substantial loads both because of wires and constructions holding them and wind, dynamic and other extraordinary impacts. In case of using single-member piles a question about their stability appears. For this reason different sleepers constructions are used. In order to improve the bearing capacity of horizontally loaded single pile supports of the contact systems used in urban, road and rail transport, power lines, etc.., it is recommended to use sleepers as horizontally laid under the ground in the depth of support beams. The calculation methods for different support sleepers of different lengths and cross sections are not well investigated. The proposed calculation method allows determining the carrying capacity of horizontally loaded bearings with soil pieces of different structural dimensions and their location in the soil, which allows choosing the best option for cost and material consumption. The calculations offered by the authors prove the efficiency of sleepers use in order to increase the bearing capacity of horizontally loaded piles and the possibility to chose their size.

  7. Interactive text mining with Pipeline Pilot: a bibliographic web-based tool for PubMed.

    Science.gov (United States)

    Vellay, S G P; Latimer, N E Miller; Paillard, G

    2009-06-01

    Text mining has become an integral part of all research in the medical field. Many text analysis software platforms support particular use cases and only those. We show an example of a bibliographic tool that can be used to support virtually any use case in an agile manner. Here we focus on a Pipeline Pilot web-based application that interactively analyzes and reports on PubMed search results. This will be of interest to any scientist to help identify the most relevant papers in a topical area more quickly and to evaluate the results of query refinement. Links with Entrez databases help both the biologist and the chemist alike. We illustrate this application with Leishmaniasis, a neglected tropical disease, as a case study.

  8. Sequence spaces [Formula: see text] and [Formula: see text] with application in clustering.

    Science.gov (United States)

    Khan, Mohd Shoaib; Alamri, Badriah As; Mursaleen, M; Lohani, Qm Danish

    2017-01-01

    Distance measures play a central role in evolving the clustering technique. Due to the rich mathematical background and natural implementation of [Formula: see text] distance measures, researchers were motivated to use them in almost every clustering process. Beside [Formula: see text] distance measures, there exist several distance measures. Sargent introduced a special type of distance measures [Formula: see text] and [Formula: see text] which is closely related to [Formula: see text]. In this paper, we generalized the Sargent sequence spaces through introduction of [Formula: see text] and [Formula: see text] sequence spaces. Moreover, it is shown that both spaces are BK -spaces, and one is a dual of another. Further, we have clustered the two-moon dataset by using an induced [Formula: see text]-distance measure (induced by the Sargent sequence space [Formula: see text]) in the k-means clustering algorithm. The clustering result established the efficacy of replacing the Euclidean distance measure by the [Formula: see text]-distance measure in the k-means algorithm.

  9. Mentoring for text editors: Fit for purpose in the era of freelancing ...

    African Journals Online (AJOL)

    In this article, the supportive role that mentoring relationships currently do and should play in the development and careers of text editors is described against the background of the particular circumstances of these service providers in a sector experiencing great organisational and technological changes. This is a group ...

  10. Vocabulary Constraint on Texts

    Directory of Open Access Journals (Sweden)

    C. Sutarsyah

    2008-01-01

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

  11. Toward an enhanced Arabic text classification using cosine similarity and Latent Semantic

    Directory of Open Access Journals (Sweden)

    Fawaz S. Al-Anzi

    2017-04-01

    Full Text Available Cosine similarity is one of the most popular distance measures in text classification problems. In this paper, we used this important measure to investigate the performance of Arabic language text classification. For textual features, vector space model (VSM is generally used as a model to represent textual information as numerical vectors. However, Latent Semantic Indexing (LSI is a better textual representation technique as it maintains semantic information between the words. Hence, we used the singular value decomposition (SVD method to extract textual features based on LSI. In our experiments, we conducted comparison between some of the well-known classification methods such as Naïve Bayes, k-Nearest Neighbors, Neural Network, Random Forest, Support Vector Machine, and classification tree. We used a corpus that contains 4,000 documents of ten topics (400 document for each topic. The corpus contains 2,127,197 words with about 139,168 unique words. The testing set contains 400 documents, 40 documents for each topics. As a weighing scheme, we used Term Frequency.Inverse Document Frequency (TF.IDF. This study reveals that the classification methods that use LSI features significantly outperform the TF.IDF-based methods. It also reveals that k-Nearest Neighbors (based on cosine measure and support vector machine are the best performing classifiers.

  12. Using ontology network structure in text mining.

    Science.gov (United States)

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

    2010-11-13

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

  13. Revisiting support optimization at the Driskos tunnel using a quantitative risk approach

    Directory of Open Access Journals (Sweden)

    J. Connor Langford

    2016-04-01

    Full Text Available With the scale and cost of geotechnical engineering projects increasing rapidly over the past few decades, there is a clear need for the careful consideration of calculated risks in design. While risk is typically dealt with subjectively through the use of conservative design parameters, with the advent of reliability-based methods, this no longer needs to be the case. Instead, a quantitative risk approach can be considered that incorporates uncertainty in ground conditions directly into the design process to determine the variable ground response and support loads. This allows for the optimization of support on the basis of both worker safety and economic risk. This paper presents the application of such an approach to review the design of the initial lining system along a section of the Driskos twin tunnels as part of the Egnatia Odos highway in northern Greece. Along this section of tunnel, weak rock masses were encountered as well as high in situ stress conditions, which led to excessive deformations and failure of the as built temporary support. Monitoring data were used to validate the rock mass parameters selected in this area and a risk approach was used to determine, in hindsight, the most appropriate support category with respect to the cost of installation and expected cost of failure. Different construction sequences were also considered in the context of both convenience and risk cost.

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

    Science.gov (United States)

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

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

  15. Fast measurement by infrared spectroscopy as support to woody biofuels quality determination

    Directory of Open Access Journals (Sweden)

    Daniele Duca

    2016-03-01

    Full Text Available The increase in the demand for energy supply during the past few decades has brought and will bring to a growth in the utilisation of renewable resources, in particular of solid biomasses. Considering the variability in the properties of biomass and the globalisation of the timber market, a chemical and physical characterisation is essential to determine the biomass quality. The specific international standards on solid biofuels (ISO 17225 series describe proper specification and classification of wood chip and pellet, to ensure appropriate quality. Moreover, standard requires information about origin and source of the biomass, normally only to be declared by the producers. In order to fulfill the requirements for the biomass quality, the origin and the source should be assessed, even if currently is hard to determine, in particular on milled or densified biomass. Infrared spectroscopy can provide information on the biomass at the chemical level, directly linked also to its origin and source. This technique is fast and not destructive thus suitable also for online monitoring along the biofuel production chain. In this study, 60 samples belonging to 8 different species were collected and related spectra were acquired using a Fourier transform infrared (IR spectrometer equipped with a module for solid analysis and analysed by principal component analysis. The results obtained show that the method is very efficient in the identification between coniferous and deciduous wood (99% confidence level and good results were obtained in the recognition of coniferous/deciduous mixtures, too. Nevertheless, some clear differences have been also noted among intra-class grouping, but additional tests should be carried out. This technique can provide useful information to solid biofuel stakeholders about wood quality and origin, important especially for sustainability issues. Further work will be oriented to the development of IR methodologies for the fast

  16. Radiometric characterisation supports, burnup credit, safeguards and radionuclide inventory determination for spent fuel transport, storage and disposal

    International Nuclear Information System (INIS)

    Chesterman, A.S.; Clapham, M.J.; Gardner, N.

    1999-01-01

    Spent nuclear fuel characterisation measurements play an essential role in a range of fuel handling activities. In particular, they are necessary to support the application of burnup credit to the transport of spent fuel, to detect diversion of safeguarded nuclear material and to determine the radionuclide inventory of materials destined for final disposal. To apply measurements to these activities the measurement procedures need to be approved by the relevant regulatory bodies. Often key to the measurement procedures is the method of instrument system calibration and what a priori data is acceptable to aid the measurement process. Discussion of these, pertinent to the three areas of application mentioned above, is presented with suggestions of alternative approaches where considered appropriate. (author)

  17. Speech Act Classification of German Advertising Texts

    Directory of Open Access Journals (Sweden)

    Артур Нарманович Мамедов

    2015-12-01

    Full Text Available This paper uses the theory of speech acts and the underlying concept of pragmalinguistics to determine the types of speech acts and their classification in the German advertising printed texts. We ascertain that the advertising of cars and accessories, household appliances and computer equipment, watches, fancy goods, food, pharmaceuticals, and financial, insurance, legal services and also airline advertising is dominated by a pragmatic principle, which is based on demonstrating information about the benefits of a product / service. This influences the frequent usage of certain speech acts. The dominant form of exposure is to inform the recipient-user about the characteristics of the advertised product. This information is fore-grounded by means of stylistic and syntactic constructions specific to the advertisement (participial constructions, appositional constructions which contribute to emphasize certain notional components within the framework of the advertising text. Stylistic and syntactic devices of reduction (parceling constructions convey the author's idea. Other means like repetitions, enumerations etc are used by the advertiser to strengthen his selling power. The advertiser focuses the attention of the consumer on the characteristics of the product seeking to convince him of the utility of the product and to influence his/ her buying behavior.

  18. Frequency and content analysis of chronic fatigue syndrome in medical text books.

    Science.gov (United States)

    Jason, Leonard A; Paavola, Erin; Porter, Nicole; Morello, Morgan L

    2010-01-01

    Text books are a cornerstone in the training of medical staff and students, and they are an important source of references and reviews for these professionals. The objective of this study was to determine both the quantity and quality of chronic fatigue syndrome (CFS) information included in medical texts. After reviewing 119 medical text books from various medical specialties, we found that 48 (40.3%) of the medical text books included information on CFS. However, among the 129 527 total pages within these medical text books, the CFS content was presented on only 116.3 (0.090%) pages. Other illnesses that are less prevalent, such as multiple sclerosis and Lyme disease, were more frequently represented in medical text books. These findings suggest that the topic ofCFS is underreported in published medical text books.

  19. Determinants of public support for threatened and endangered species management: A case study of Cape Lookout National Seashore

    Science.gov (United States)

    Le, Lena; Bagstad, Kenneth J.; Cook, Philip S.; Leong, Kirsten M.; DiDonato, Eva

    2015-01-01

    Gaining public support for management actions is important to the success of public land management agencies’ efforts to protect threatened and endangered species. This is especially relevant at national parks, where managers balance two aspects of their conservation mission: to protect resources and to provide for public enjoyment. This study examined variables potentially associated with support for management actions at Cape Lookout National Seashore, a unit of the National Park Service. Two visitor surveys were conducted at the park at different seasons, and a resident survey was conducted for households in Carteret County, North Carolina, where the park is located. The goal of the project was to provide park managers with information that may help with the development of communication strategies concerning the park’s conservation mission. These communication strategies may help to facilitate mutual understanding and garner public support for management actions. Several variables were examined as potential determinants that park managers ought to consider when developing communication strategies. Multinomial logistic regression was applied to examine the relationships between these variables and the likelihood of support for or opposition to management actions. The variables examined included perceived shared values of park resources, general environmental attitudes, level of familiarity with park resources and regulations, knowledge about threatened and endangered species, level of trust in the decision-making process, and perceived shared values with park management. In addition, demographic variables such as income level, respondent age, residency status, and visitor type were also used. The results show that perceived values of threatened and endangered species, trust in park managers and the decision-making process, and perceived share values with park managers were among the strongest indicators of support for management actions. Different user groups

  20. Immersion Calorimetry for the Characterization of PD Catalysts Supported on Activated Carbon

    Directory of Open Access Journals (Sweden)

    Liliana Giraldo

    2009-01-01

    Full Text Available Activated carbons obtained from coconut peel were oxidized using hydrogen peroxide. Superficial characteristics of these carbons were determined through N2 and CO2 isotherms and functional groups were characterized by TPD. Finally, the microcalorimetry technique was used in order to obtain the immersion enthalpies in diverse liquids and established the relation between them and the results obtained by the other characterization techniques. The results suggested that the immersion calorimetry allow establishing the difference between the supports and the catalysts.

  1. REVIEW OF TURKISH SCIENTIFIC TEXTS ON TEACHING TURKISH AS A FOREIGN LANGUAGE

    Directory of Open Access Journals (Sweden)

    Kamil İŞERİ

    2017-04-01

    Full Text Available The functions of the scientific texts under the informative text type are referring to the results of a research, reinterpreting certain research results, or reaching original results. When literature reviewed, it is observed that although the studies for creating scientific text have increased recently, it seems that the desired outcome is not achieved. In addition to teaching Turkish as a mother tongue, teaching it as a foreign language has also started to gain importance. For this reason, it is necessary to carry out such studies in order to increase the productivity in the field of teaching Turkish to foreigners. The aim of the study is to determine the orientations related to the rhetorical arrangement of the scientific texts on teaching of Turkish as a foreign language, which are included in the textbooks of the International Training and Education of Turkish Language Congresses as a full text and to evaluate these texts in terms of their specific functions. Findings and determinations revealed in the study are based on a corpus comprised of a total of 64 texts included in proceedings books, written in Turkish and related to teaching Turkish to foreigners. The study is structured by qualitative research method. The data were obtained by qualitative data collection techniques through document scanning and were examined within the framework of the scientific text criteria specified by Huber and Uzun (2001. Two out of 64 articles in the sample of the study revealed that none of the expected functional steps in the introduction, main and final sections were found. No work has been found that covers all of the functional steps in the introduction, main and final sections.

  2. Slovene specialized text corpus of Library and Information Science – An advanced lexicographic tool for library terminology research

    OpenAIRE

    Kanič, Ivan

    2013-01-01

    To support the research in the field of library and information science terminology and dictionary construction in Slovene language a specialized text corpus has been designed and constructed. The corpus has reached 3,6 million words extracted from 625 Slovene technical and scientific texts of the field. It supports a variety of specialized search methods, display of search results, and their statistic computation. The web based application is in open public access.

  3. Pitowsky's Kolmogorovian Models and Super-determinism.

    Science.gov (United States)

    Kellner, Jakob

    2017-01-01

    In an attempt to demonstrate that local hidden variables are mathematically possible, Pitowsky constructed "spin-[Formula: see text] functions" and later "Kolmogorovian models", which employs a nonstandard notion of probability. We describe Pitowsky's analysis and argue (with the benefit of hindsight) that his notion of hidden variables is in fact just super-determinism (and accordingly physically not relevant). Pitowsky's first construction uses the Continuum Hypothesis. Farah and Magidor took this as an indication that at some stage physics might give arguments for or against adopting specific new axioms of set theory. We would rather argue that it supports the opposing view, i.e., the widespread intuition "if you need a non-measurable function, it is physically irrelevant".

  4. Editorial: Support (November 2007

    Directory of Open Access Journals (Sweden)

    Dru Lavigne

    2007-11-01

    Full Text Available What is your first thought when you encounter the term "open source support"? A programmer typing the answer to a question using a chat utility? Hours spent scouring the Internet for a working configuration sample? Contacting a support engineer at a commercial call centre? If you find it difficult to think about a support engineer, you're not alone. Actuate's recently published 2007 Open Source Survey of senior personnel from financial services, Telco, and public sector organizations across North America and Europe indicates that 46.3% of respondents cite the lack of availability of long term support as a major barrier to their company's adoption of open source technologies.

  5. The textualization of space and the spacialization of the text

    Directory of Open Access Journals (Sweden)

    Carlos Reis

    2014-08-01

    Full Text Available The concept of ‘space’ bears a long history within the metalanguages of literary studies, especially those concerned with literary narrative. Although space has never been a central category in narratology studies, it is a starting point for reflections that lead to the notion of cyberspace. The above requires a conceptual reformulation determined by possibilities expressed and represented in digital languages in the electronic media, often requiring collaboration with the reader. Writing and hypertextual reading develop within a context where the spatial dimension of texts is reinvented.

  6. "It still haunts me whether we did the right thing": a qualitative analysis of free text survey data on the bereavement experiences and support needs of family caregivers.

    Science.gov (United States)

    Harrop, Emily; Morgan, Fiona; Byrne, Anthony; Nelson, Annmarie

    2016-11-08

    Research suggests that there may be bereavement experiences and support needs which are specific to family caregivers providing end of life care (EoLC), although this remains an under-researched area. This paper focuses on themes relating to bereavement which were derived from an analysis of free text survey responses collected in a research priority setting exercise for palliative and EoLC. The priority setting exercise involved a public survey, designed to generate research priorities. Rather than identify research topics, many people instead described their experiences and raised more general questions relating to palliative and end of life care. To explore these experiences and perspectives a supplementary thematic analysis was conducted on the survey responses. 1403 respondents took part, including patients, current and bereaved carers, health and social care professionals, volunteers and members of the public. Several grief issues were identified, which seem specific to the experiences of family caregivers. Responses demonstrated a relationship between death experiences, feelings of guilt and bereavement outcomes for some family caregivers, as well as caregiver experiences of a "void" created by the withdrawal of professional support after death. Communication and support needs were also identified by participants. This analysis provides further evidence of some of the specific effects that caring for a loved one at the end of life can have on bereavement experiences. Finding ways of improving communication around the time of death and effective follow up approaches post death could help to address some of these issues.

  7. Semantic Indexing of Multimedia Content Using Visual, Audio, and Text Cues

    Directory of Open Access Journals (Sweden)

    W. H. Adams

    2003-02-01

    Full Text Available We present a learning-based approach to the semantic indexing of multimedia content using cues derived from audio, visual, and text features. We approach the problem by developing a set of statistical models for a predefined lexicon. Novel concepts are then mapped in terms of the concepts in the lexicon. To achieve robust detection of concepts, we exploit features from multiple modalities, namely, audio, video, and text. Concept representations are modeled using Gaussian mixture models (GMM, hidden Markov models (HMM, and support vector machines (SVM. Models such as Bayesian networks and SVMs are used in a late-fusion approach to model concepts that are not explicitly modeled in terms of features. Our experiments indicate promise in the proposed classification and fusion methodologies: our proposed fusion scheme achieves more than 10% relative improvement over the best unimodal concept detector.

  8. Iodine Support of Population in Vinnytsa Region

    Directory of Open Access Journals (Sweden)

    M.V. Vlasenko

    2016-03-01

    Full Text Available In 9 localities in Vinnitsa region the study of iodine support of population was conducted. 810 persons were examined including 540 children aged 7–12 years old living under the conditions of combined influence of geochemical and anthropogenic ecological factors. Vinnitsa region was found to be the territory with the mild iodine deficiency. Schoolboys with endemic increase of thyroid gland appeared to have typically higher prevalence of chronic somatic pathology. The peculiarities of goitrous endemia confirm complex pathogenesis of thyromegaly in children under conditions of combined influence of anthropogenic and geochemical factors, caused not only by the absolute iodine insufficiency but also by influence of additional goiterous factors. These peculiarities determine the necessity of complex approach to perform preventive antithyroid measures.

  9. Intervening to Improve Teachers' Need-Supportive Behaviour Using Self-Determination Theory: Its Effects on Teachers and on the Motivation of Students with Deafblindness

    Science.gov (United States)

    Haakma, Ineke; Janssen, Marleen; Minnaert, Alexander

    2017-01-01

    Research on Self-Determination Theory has shown that teachers' need-supportive behaviour is associated with student motivation and engagement. The purpose of this study is to examine the effectiveness of an intervention aimed at increasing the motivation of students with congenital and acquired deafblindness by enhancing teachers' need-supportive…

  10. Supported teaching autonomy support. [Enseñanza apoyada en el soporte de autonomía].

    Directory of Open Access Journals (Sweden)

    Juan Antonio Moreno-Murcia

    2016-01-01

    Full Text Available The findings obtained from the study and research into the consequences of applying determined teaching styles has led to a growing interest in this area among the scientific community. The student-centered and constructivist learning environments which enable students to gain a significant understanding through their own efforts has grown in importance compared with the traditional learning environment based on the transfer of learning by teachers (Oguz, 2013. In the context of the constructivist approach, students create their own knowledge by actively participating in the learning process (Wang, 2011, and by giving importance to the learners’ autonomy. In these environments of interaction, the teacher becomes the learning facilitator, planning tasks and supporting responsibility for learning (Koç, 2006, providing students with options, helping them make their own decisions and solve problems for themselves. Consequently, this new focus provides students with opportunities to ask their own questions, and create their own learning concepts and strategies based on existing knowledge. The teacher has to accept students’ autonomy and their enterprising spirit, and support them in this sense. In the context of this constructivist focus, one of the the main objectives of education is to promote students’ autonomy (Öztürk, 2011.

  11. The Role of Irrational Beliefs, Self Efficacy and Social Support in Relapse of Abuse Disorder

    Directory of Open Access Journals (Sweden)

    Toraj Hashemi

    2010-05-01

    Full Text Available Aim: This study aimed to determine the role of irrational beliefs system, self efficacy and social support network in predicting of relapse/non-relapse of drug misusing, and comparison of mentioned variables between these two groups. Method: For this purpose 100 persons who had repeated relapse and 100 persons who did not have relapse were selected by available sampling of Rehabilitation Organization of Tabriz city. Albert Alic’s irrational beliefs, Sherer’s self efficacy and Wax’s social support questionnaires administered among selected samples. Results: The results showed that, there were significant differences between two relapse and non-relapse groups on irrational beliefs, self-efficacy and social support. Conclusion: The results have applied implications in addiction treatment clinics.

  12. XML and Free Text.

    Science.gov (United States)

    Riggs, Ken Roger

    2002-01-01

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

  13. RES-E Support Policies In The Baltic States: Development Aspect (Part I

    Directory of Open Access Journals (Sweden)

    Bobinaite V.

    2015-02-01

    Full Text Available Despite quite similar conditions (natural resources for electricity production from renewable energy sources (RES-E in three Baltic States (Estonia, Latvia and Lithuania, significant differences exist in these countries as to the RES-E production volume. In Latvia this volume is the highest, while in Estonia and Lithuania it is half as high. One of the factors that determine the RES-E production volumes is support policies, which in the Baltic States are different. The main objective of this work was to analyze and compare these support policies. The results have shown that for rapid RES-E development the most effective policy is to be market-oriented (as in Estonia, whereas for more stable development such policy should be producer-oriented (as in Lithuania.

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

    Directory of Open Access Journals (Sweden)

    Anastasia V. Kudrina

    2017-12-01

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

  15. Text messaging-based smoking cessation intervention: a narrative review.

    Science.gov (United States)

    Kong, Grace; Ells, Daniel M; Camenga, Deepa R; Krishnan-Sarin, Suchitra

    2014-05-01

    Smoking cessation interventions delivered via text messaging on mobile phones may enhance motivations to quit smoking. The goal of this narrative review is to describe the text messaging interventions' theoretical contents, frequency and duration, treatment outcome, and sample characteristics such as age and motivation to quit, to better inform the future development of this mode of intervention. Studies were included if text messaging was primarily used to deliver smoking cessation intervention and published in English in a peer-reviewed journal. All articles were coded by two independent raters to determine eligibility and to extract data. Twenty-two studies described 15 text messaging interventions. About half of the interventions recruited adults (ages 30-40) and the other half targeted young adults (ages 18-29). Fourteen interventions sent text messages during the quit phase, 10 had a preparation phase and eight had a maintenance phase. The number of text messages and the duration of the intervention varied. All used motivational messages grounded in social cognitive behavioral theories, 11 used behavioral change techniques, and 14 used individually tailored messages. Eleven interventions also offered other smoking cessation tools. Three interventions yielded smoking cessation outcomes greater than the control condition. The proliferation of text messaging in recent years suggests that text messaging interventions may have the potential to improve smoking cessation rates. Detailed summary of the interventions suggests areas for future research and clinical application. More rigorous studies are needed to identify components of the interventions that can enhance their acceptability, feasibility and efficacy. Copyright © 2013. Published by Elsevier Ltd.

  16. Deep Belief Networks Based Toponym Recognition for Chinese Text

    Directory of Open Access Journals (Sweden)

    Shu Wang

    2018-06-01

    Full Text Available In Geographical Information Systems, geo-coding is used for the task of mapping from implicitly geo-referenced data to explicitly geo-referenced coordinates. At present, an enormous amount of implicitly geo-referenced information is hidden in unstructured text, e.g., Wikipedia, social data and news. Toponym recognition is the foundation of mining this useful geo-referenced information by identifying words as toponyms in text. In this paper, we propose an adapted toponym recognition approach based on deep belief network (DBN by exploring two key issues: word representation and model interpretation. A Skip-Gram model is used in the word representation process to represent words with contextual information that are ignored by current word representation models. We then determine the core hyper-parameters of the DBN model by illustrating the relationship between the performance and the hyper-parameters, e.g., vector dimensionality, DBN structures and probability thresholds. The experiments evaluate the performance of the Skip-Gram model implemented by the Word2Vec open-source tool, determine stable hyper-parameters and compare our approach with a conditional random field (CRF based approach. The experimental results show that the DBN model outperforms the CRF model with smaller corpus. When the corpus size is large enough, their statistical metrics become approaching. However, their recognition results express differences and complementarity on different kinds of toponyms. More importantly, combining their results can directly improve the performance of toponym recognition relative to their individual performances. It seems that the scale of the corpus has an obvious effect on the performance of toponym recognition. Generally, there is no adequate tagged corpus on specific toponym recognition tasks, especially in the era of Big Data. In conclusion, we believe that the DBN-based approach is a promising and powerful method to extract geo

  17. Text File Comparator

    Science.gov (United States)

    Kotler, R. S.

    1983-01-01

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

  18. Leveling L2 Texts through Readability: Combining Multilevel Linguistic Features with the CEFR

    Science.gov (United States)

    Sung, Yao-Ting; Lin, Wei-Chun; Dyson, Scott Benjamin; Chang, Kuo-En; Chen, Yu-Chia

    2015-01-01

    Selecting appropriate texts for L2 (second/foreign language) learners is an important approach to enhancing motivation and, by extension, learning. There is currently no tool for classifying foreign language texts according to a language proficiency framework, which makes it difficult for students and educators to determine the precise…

  19. Patterns of debate in tertiary level asynchronous text-based conferencing

    OpenAIRE

    Coffin, Caroline; Painter, Clare; Hewings, Ann

    2005-01-01

    Argumentation can be defined at different levels and serve different purposes, but its role in knowledge understanding and construction has given it a central place in education, particularly at tertiary level. The advent of computer-supported text-based conferences has created new sites where such educational dialogues can take place, but the quality of the interaction and whether it is serving its educational purpose is still uncertain. This paper reports on a framework of analysis that has...

  20. How the Relationship between Text and Headings Influences Readers' Memory

    Science.gov (United States)

    Ritchey, Kristin; Schuster, Jonathan; Allen, Jaryn

    2008-01-01

    Two questions regarding signals' influence on memory were examined. First, the relationship between headings and text was manipulated to determine whether headings serve as visual cues, directing readers to recall all subsequent information, or content-specific cues, directing readers to recall only to certain information. Second, distance between…

  1. A Synthesis of Research on Informational Text Reading Interventions for Elementary Students With Learning Disabilities.

    Science.gov (United States)

    Ciullo, Stephen; Lo, Yu-Ling Sabrina; Wanzek, Jeanne; Reed, Deborah K

    2016-01-01

    This research synthesis was conducted to understand the effectiveness of interventions designed to improve learning from informational text for students with learning disabilities in elementary school (K-5). The authors identified 18 studies through a comprehensive search. The interventions were evaluated to determine treatment effects and to understand implementation and methodological variables that influenced outcomes. Moderate to large effect sizes on researcher-developed measures for cognitive strategy interventions were reported. Interventions that utilized graphic organizers as study guides to support social studies learning were also associated with improved outcomes. The findings are considered within the context of limited implementation of standardized measures. The authors extend findings from previous research by reporting a paucity of interventions to enhance higher-level cognitive and comprehension skills. The majority of reviewed studies targeted fact acquisition and main idea identification, and overall encouraging findings were noted for these skills. Implications for future research are discussed. © Hammill Institute on Disabilities 2014.

  2. Measurement of the [Formula: see text] meson lifetime using [Formula: see text] decays.

    Science.gov (United States)

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

    The lifetime of the [Formula: see text] meson is measured using semileptonic decays having a [Formula: see text] meson and a muon in the final state. The data, corresponding to an integrated luminosity of [Formula: see text], are collected by the LHCb detector in [Formula: see text] collisions at a centre-of-mass energy of 8 TeV. The measured lifetime is [Formula: see text]where the first uncertainty is statistical and the second is systematic.

  3. An Analysis on Reading Texts in Teaching Turkish to Foreigners

    Directory of Open Access Journals (Sweden)

    Adem İŞCAN

    2017-09-01

    Full Text Available Being one of the four basic language skills, reading has a great importance in teaching Turkish to foreigners. It is required to develop reading skills to develop vocabulary. There have been some problems in teaching Turkish as second language. These problems are generally related to difference in alphabet, inadequacy of the sources used in teaching Turkish, methods and techniques used and the texts used. The basic sources used in teaching Turkish to foreigners are texts. This study aims at determination of the opinions of students in Gaziosmanpaşa University and Ondokuz Mayıs University Turkish Education and Application Center (TOMER concerning Turkish reading texts. General browsing method was used in the study. The questionnaire comprising of 24 items was applied to 25 students in beginner level and 7 students in advanced level. With this study, it is foreseen to arrange the texts being the key stone according to the wishes of and in compliance with the levels of students; giving importance to pre-reading, reading and post-reading activities and including questions with short-answer about the text as well as questions to develop high level skills.

  4. Autonomy support for autonomous motivation in medical education

    Directory of Open Access Journals (Sweden)

    Rashmi A. Kusurkar

    2015-05-01

    Full Text Available Background: Medical students often study only to fare well in their examinations or pursue a specific specialty, or study only those topics that they perceive to be useful in medical practice. The motivation for study in these cases comes from external or internal pressures or from the desire to obtain rewards. Self-determination theory (SDT classifies this type of motivation as controlled motivation and the type of motivation that comes from genuine interest or personal value as autonomous motivation. Autonomous motivation, in comparison with controlled motivation, has been associated with better learning, academic success, and less exhaustion. SDT endorses autonomous motivation and suggests that autonomy support is important for autonomous motivation. The meaning of autonomy is misinterpreted by many. This article tries to focus on how to be autonomy-supportive in medical education. Discussion: Autonomy support refers to the perception of choice in learning. Some of the ways of supporting autonomy in medical education are small group teaching, problem-based learning, and gradual increase in responsibility of patients. Autonomy-supportive teaching behavior is not a trait and can be learned. Autonomy support in medical education is not limited to bringing in changes in the medical curriculum for students; it is about an overall change in the way of thinking and working in medical schools that foster autonomy among those involved in education. Research into autonomy in medical education is limited. Some topics that need to be investigated are the ideas and perceptions of students and teachers about autonomy in learning. Conclusion: Autonomy support in medical education can enhance autonomous motivation of students for medical study and practice and make them autonomy-supportive in their future medical practice and teaching.

  5. Systematic text condensation

    DEFF Research Database (Denmark)

    Malterud, Kirsti

    2012-01-01

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

  6. Circulatory Arrest, Brain Arrest and Death Determination

    Directory of Open Access Journals (Sweden)

    Sam David Shemie

    2018-03-01

    Full Text Available Technological advances, particularly in the capacity to support, replace or transplant failing organs, continue to challenge and refine our understanding of human death. Given the ability to reanimate organs before and after death, both inside and outside of the body, through reinstitution of oxygenated circulation, concepts related to death of organs (e.g. cardiac death are no longer valid. This paper advances the rationale for a single conceptual determination of death related to permanent brain arrest, resulting from primary brain injury or secondary to circulatory arrest. The clinical characteristics of brain arrest are the permanent loss of capacity for consciousness and loss of all brainstem functions. In the setting of circulatory arrest, death occurs after the arrest of circulation to the brain rather than death of the heart. Correspondingly, any intervention that resumes oxygenated circulation to the brain after circulatory arrest would invalidate the determination of death.

  7. 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…

  8. Characteristics of current quenches during disruptions in the J-TEXT tokamak

    International Nuclear Information System (INIS)

    Zhang, Y; Chen, Z Y; Fang, D; Jin, W; Huang, Y H; Wang, Z J; Yang, Z J; Chen, Z P; Ding, Y H; Zhang, M; Zhuang, G

    2012-01-01

    Characteristics of tokamak current quenches are an important issue for the determination of electro-magnetic forces that act on the in-vessel components and vacuum vessel during major disruptions. The characteristics of current quenches in spontaneous disruptions in the J-TEXT tokamak have been investigated. It is shown that the waveforms for the fastest current quenches are more accurately fitted by linear current decays than exponential, although neither is a good fit in many slower cases. The minimum current quench time is about 2.4 ms for the J-TEXT tokamak. The maximum instantaneous current quench rate is more than seven times the average current quench rate in J-TEXT. (paper)

  9. Social support and employee well-being: the conditioning effect of perceived patterns of supportive exchange.

    Science.gov (United States)

    Nahum-Shani, Inbal; Bamberger, Peter A; Bacharach, Samuel B

    2011-03-01

    Seeking to explain divergent empirical findings regarding the direct effect of social support on well-being, the authors posit that the pattern of supportive exchange (i.e., reciprocal, under-, or over-reciprocating) determines the impact of receiving support on well-being. Findings generated on the basis of longitudinal data collected from a sample of older blue-collar workers support the authors' predictions, indicating that receiving emotional support is associated with enhanced well-being when the pattern of supportive exchange is perceived by an individual as being reciprocal (support received equals support given), with this association being weaker when the exchange of support is perceived as being under-reciprocating (support given exceeds support received). Moreover, receiving support was found to adversely affect well-being when the pattern of exchange was perceived as being over-reciprocating (support received exceeds support given). Theoretical and practical implications of these findings are discussed.

  10. Effects of an intervention with teachers in the physical education context: A Self-Determination Theory approach.

    Directory of Open Access Journals (Sweden)

    David Sánchez-Oliva

    Full Text Available Framed within Self-Determination Theory, the purpose of the present study was to test the effects of a training program with physical education (PE teachers. Participants were 21 high school PE teachers (experimental group, n = 10; control group, n = 11, and their 836 students, aged 12 to 16 years. Teachers in the experimental group received a training program consisting of strategies to support autonomy, competence, and relatedness need satisfaction. A repeated measures ANCOVA was carried out for each dependent variable. After the intervention, students in the experimental group significantly increased their scores on autonomy support, relatedness support, autonomy satisfaction, autonomous motivation, controlled motivation, and intention to be physically active, as compared to the control group. These findings emphasize the utility of a training program with PE teachers to promote the students' psychological need satisfaction, and hence, self-determined motivation toward PE classes.

  11. The effects of generative testing on text retention and text comprehension

    NARCIS (Netherlands)

    Dirkx, Kim; Kester, Liesbeth; Kirschner, Paul A.

    2011-01-01

    Dirkx, K. J. H., Kester, L., & Kirschner, P. A. (2011, 30 August). The effects of generative testing methods on text retention and text comprehension. Paper presented at the annual meeting of the European Association for Research on Learning and Instruction, Exeter, United Kingdom.

  12. 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

  13. Probing the topological properties of complex networks modeling short written texts.

    Directory of Open Access Journals (Sweden)

    Diego R Amancio

    Full Text Available In recent years, graph theory has been widely employed to probe several language properties. More specifically, the so-called word adjacency model has been proven useful for tackling several practical problems, especially those relying on textual stylistic analysis. The most common approach to treat texts as networks has simply considered either large pieces of texts or entire books. This approach has certainly worked well-many informative discoveries have been made this way-but it raises an uncomfortable question: could there be important topological patterns in small pieces of texts? To address this problem, the topological properties of subtexts sampled from entire books was probed. Statistical analyses performed on a dataset comprising 50 novels revealed that most of the traditional topological measurements are stable for short subtexts. When the performance of the authorship recognition task was analyzed, it was found that a proper sampling yields a discriminability similar to the one found with full texts. Surprisingly, the support vector machine classification based on the characterization of short texts outperformed the one performed with entire books. These findings suggest that a local topological analysis of large documents might improve its global characterization. Most importantly, it was verified, as a proof of principle, that short texts can be analyzed with the methods and concepts of complex networks. As a consequence, the techniques described here can be extended in a straightforward fashion to analyze texts as time-varying complex networks.

  14. The subjective determinants of job performance and job involvement in organizational context.

    OpenAIRE

    Koblicová, Leona

    2016-01-01

    The job performance is conditioned by range of objective factors and subjective determinants as well. This thesis dedicates to mapping of job involvement meaning engagement, enthusiasm, commitment and work motivation. Considering to that, oganization can influence future job performance of its employee through employee development, when it tries to grow up the job interest, develops requiered skills and so potencially supports one's performance. The text tries to sum up knowledge background o...

  15. Testing and diagnosis of the cause of increased vibration of the fan plant's support structure

    Directory of Open Access Journals (Sweden)

    Varju Đerđ

    2015-01-01

    Full Text Available This paper presents a procedure of determining the causes of increased vibration of a fan plant and its support structure in the PUC 'Subotička toplana'. Excessive vibrations were observed following the installation of the frequency converter, thus a methodological approach of testing-analysis-diagnosis has been applied. Based on the definition of the causes of this problem, the paper also suggests possible repair procedures.

  16. The Persistence of Outmoded Ideas in High School Geography Texts

    Science.gov (United States)

    Jackson, Richard H.

    1976-01-01

    Selected secondary level geography textbooks from the period 1900-1970 indicate environmental determinism as the prevailing theme, one which persisted in such texts for 20 years after it was abandoned as a central theme at university level. Researchers should have more contact with developers of secondary level materials. (Author/AV)

  17. ICT support for measuring customer metrics defined by the Balanced Scorecard method

    Directory of Open Access Journals (Sweden)

    František Dařena

    2006-01-01

    Full Text Available In the paper an approach to support of strategic management process using the Balanced Scorecard method is discussed. The main focus is primarily directed to the customer perspective as the most important determining factor of today‘s strategic management. The article suggests general framework for construction of individual performance indicators from this field independently on particular implementation of existing information system in the organization. Methods of gaining necessary information from organization‘s database and from organization‘s environment using customer research are considered.

  18. Decision support system for Wamakersvallei Winery

    CSIR Research Space (South Africa)

    Van Der Merwe, A

    2007-09-01

    Full Text Available The goal of the study is to lend decision support to management a a wine cellar in three areas of expertise, with Wamakersvallei Winery serving as a special case study. This decision support system is to be delivered in the form of Excel spreadsheet...

  19. General practice ethics: text messages and boundaries in the GP-patient relationship.

    Science.gov (United States)

    Mintzker, Yishai; Rogers, Wendy

    2015-08-01

    Virtual forms of communication (eg texting) can support patients and may contribute to better care. However, these informal communication methods may intrude on the doctor’s leisure time and undermine standards of care if they replace face-to-face consultations.Texting may cross boundaries in potentially unprofessional ways, especially when particular patients are favoured with this privilege. It may disadvantage patients who are not favoured or who are not comfortable using mobile technology. We also note that GPs cannot control the distribution of their number or recall it without the inconvenience of changing the number once it has been disclosed.Virtual communication is an integral part of the way we live, despite the potential pitfalls. Each form (social media, electronic messaging systems, video consultations, mobile phones, etc) has its advantages and disadvantages. This makes it important for practices to develop policies supporting the responsible use of virtual communication. Such policies should:clarify (for patients and GPs) when its use is appropriate accommodate doctors’ individual preferences regarding technology provide guidance regarding GPs’ duties, especially for interactions that do not allow full evaluation of patients.GPs may wish to have specific criteria for providing patients with this degree of access, set very clear indications and contraindications to its use, explain the potential pitfalls, and ensure that text messages augment good care rather than replace it.

  20. Measurement of the [Formula: see text] and [Formula: see text] production cross sections in multilepton final states using 3.2 fb[Formula: see text] of [Formula: see text] collisions at [Formula: see text] = 13 TeV with the ATLAS detector.

    Science.gov (United States)

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    2017-01-01

    A measurement of the [Formula: see text] and [Formula: see text] production cross sections in final states with either two same-charge muons, or three or four leptons (electrons or muons) is presented. The analysis uses a data sample of proton-proton collisions at [Formula: see text] TeV recorded with the ATLAS detector at the Large Hadron Collider in 2015, corresponding to a total integrated luminosity of 3.2 fb[Formula: see text]. The inclusive cross sections are extracted using likelihood fits to signal and control regions, resulting in [For