"The Seesaw Is a Machine that Goes up and down": Young Children's Narrative Responses to Science-Related Informational Text

ERIC Educational Resources Information Center

Mantzicopoulos, Panayota; Patrick, Helen

2010-01-01

Research Findings: We report on an assessment developed to document young children's narrative production after listening to short segments of science-related informational text (SciT) on life science, earth and space, and simple machines. We examine differences between kindergarten boys (n = 39) and girls (n = 29) on several indices of narrative…

Situated Literacies at Work.

ERIC Educational Resources Information Center

Searle, Jean

2002-01-01

Gathered data about work practices related to three motels and two eco-tourism sites. Findings suggest that actual workplace practices involve socially constructed literacies depending on the user's ability to make judgments on using the text or obtaining information from the text. (SLD)

The role of readability in effective health communication: an experiment using a Japanese health information text on chronic suppurative otitis media.

PubMed

Sakai, Yukiko

2013-09-01

This study identifies the most significant readability factors and examines ways of improving and evaluating Japanese health information text in terms of ease of reading and understanding. Six different Japanese texts were prepared based on an original short text written by a medical doctor for a hospital web site intended for laypersons regarding chronic suppurative otitis media. Four were revised for single readability factor (syntax, vocabulary, or text structure) and two were modified in all three factors. Using a web-based survey, 270 high school students read one of the seven texts, including the original, completed two kinds of comprehension tests, and answered questions on their impressions of the text's readability. Significantly higher comprehension test scores were shown in the true or false test for a mixed text that presented important information first for better text structure. They were also found in the cloze test for a text using common vocabulary and a cohesive mixed text. Vocabulary could be a critical single readability factor when presumably combined with better text structure. Using multiple evaluation methods can help assess comprehensive readability. The findings on improvement and evaluation methods of readability can be applied to support effective health communication. © 2013 The authors. Health Information and Libraries Journal © 2013 Health Libraries Group Health Information and Libraries Journal.

The Weaknesses of Full-Text Searching

ERIC Educational Resources Information Center

Beall, Jeffrey

2008-01-01

This paper provides a theoretical critique of the deficiencies of full-text searching in academic library databases. Because full-text searching relies on matching words in a search query with words in online resources, it is an inefficient method of finding information in a database. This matching fails to retrieve synonyms, and it also retrieves…

Advanced text and video analytics for proactive decision making

NASA Astrophysics Data System (ADS)

Bowman, Elizabeth K.; Turek, Matt; Tunison, Paul; Porter, Reed; Thomas, Steve; Gintautas, Vadas; Shargo, Peter; Lin, Jessica; Li, Qingzhe; Gao, Yifeng; Li, Xiaosheng; Mittu, Ranjeev; Rosé, Carolyn Penstein; Maki, Keith; Bogart, Chris; Choudhari, Samrihdi Shree

2017-05-01

Today's warfighters operate in a highly dynamic and uncertain world, and face many competing demands. Asymmetric warfare and the new focus on small, agile forces has altered the framework by which time critical information is digested and acted upon by decision makers. Finding and integrating decision-relevant information is increasingly difficult in data-dense environments. In this new information environment, agile data algorithms, machine learning software, and threat alert mechanisms must be developed to automatically create alerts and drive quick response. Yet these advanced technologies must be balanced with awareness of the underlying context to accurately interpret machine-processed indicators and warnings and recommendations. One promising approach to this challenge brings together information retrieval strategies from text, video, and imagery. In this paper, we describe a technology demonstration that represents two years of tri-service research seeking to meld text and video for enhanced content awareness. The demonstration used multisource data to find an intelligence solution to a problem using a common dataset. Three technology highlights from this effort include 1) Incorporation of external sources of context into imagery normalcy modeling and anomaly detection capabilities, 2) Automated discovery and monitoring of targeted users from social media text, regardless of language, and 3) The concurrent use of text and imagery to characterize behaviour using the concept of kinematic and text motifs to detect novel and anomalous patterns. Our demonstration provided a technology baseline for exploiting heterogeneous data sources to deliver timely and accurate synopses of data that contribute to a dynamic and comprehensive worldview.

Full-Text Publication of Abstract-Presented Work in Physical Therapy: Do Therapists Publish What They Preach?

PubMed Central

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

2011-01-01

Background and Objective Professional meetings, such as the American Physical Therapy Association's (APTA's) Combined Sections Meeting (CSM), provide forums for sharing information relevant to physical therapy. An indicator of whether therapists fully disseminate their work is the number of full-text peer-reviewed publications that result. The purposes of this study were: (1) to determine the full-text publication rate of work presented in abstract form at CSM and (2) to investigate factors influencing this rate. Methods A systematic search was undertaken to locate full-text publications of work presented in abstract form within the Orthopaedic and Sports Physical Therapy sections at CSM between 2000 and 2004. Eligible publications were published within 5 years following abstract presentation. The influences of APTA section, year of abstract presentation, institution of origin, study design, sample size, study significance, reporting of a funding source, and presentation type on full-text publication rate were assessed. Characteristics of full-text publications were explored. Results Work presented in 1 out of 4 abstracts (25.4%) progressed to full-text publication. Odds of full-text publication increased if the abstract originated from a doctorate-granting or “other” institution, reported findings of an experimental study, reported a statistically significant finding, included a larger sample size, disclosed a funding source, or was presented as a platform presentation. More than one third (37.8%) of full-text publications were published in the Journal of Orthopaedic and Sports Physical Therapy or Physical Therapy, and 4 out of 10 full-text publications (39.2%) contained at least one major change from information presented in abstract form. Conclusions The full-text publication rate for information presented in abstract form within the Orthopaedic and Sports Physical Therapy sections at CSM is low relative to comparative disciplines. Caution should be exercised when translating information presented at CSM into practice. PMID:21169423

Finding Relevant Data in a Sea of Languages

DTIC Science & Technology

2016-04-26

full machine-translated text , unbiased word clouds , query-biased word clouds , and query-biased sentence...and information retrieval to automate language processing tasks so that the limited number of linguists available for analyzing text and spoken...the crime (stock market). The Cross-LAnguage Search Engine (CLASE) has already preprocessed the documents, extracting text to identify the language

Frequency and content analysis of chronic fatigue syndrome in medical text books.

PubMed

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.

Recognition of a person named entity from the text written in a natural language

NASA Astrophysics Data System (ADS)

Dolbin, A. V.; Rozaliev, V. L.; Orlova, Y. A.

2017-01-01

This work is devoted to the semantic analysis of texts, which were written in a natural language. The main goal of the research was to compare latent Dirichlet allocation and latent semantic analysis to identify elements of the human appearance in the text. The completeness of information retrieval was chosen as the efficiency criteria for methods comparison. However, it was insufficient to choose only one method for achieving high recognition rates. Thus, additional methods were used for finding references to the personality in the text. All these methods are based on the created information model, which represents person’s appearance.

Mars Target Encyclopedia: Information Extraction for Planetary Science

NASA Astrophysics Data System (ADS)

Wagstaff, K. L.; Francis, R.; Gowda, T.; Lu, Y.; Riloff, E.; Singh, K.

2017-06-01

Mars surface targets / and published compositions / Seek and ye will find. We used text mining methods to extract information from LPSC abstracts about the composition of Mars surface targets. Users can search by element, mineral, or target.

Separable Processes Before, During, and After the N400 Elicited by Previously Inferred and New Information: Evidence from Time-Frequency Decompositions

PubMed Central

Steele, Vaughn R.; Bernat, Edward M.; van den Broek, Paul; Collins, Paul F.; Patrick, Christopher J.; Marsolek, Chad J.

2012-01-01

Successful comprehension during reading often requires inferring information not explicitly presented. This information is readily accessible when subsequently encountered, and a neural correlate of this is an attenuation of the N400 event-related potential (ERP). We used ERPs and time-frequency (TF) analysis to investigate neural correlates of processing inferred information after a causal coherence inference had been generated during text comprehension. Participants read short texts, some of which promoted inference generation. After each text, they performed lexical decisions to target words that were unrelated or inference-related to the preceding text. Consistent with previous findings, inference-related words elicited an attenuated N400 relative to unrelated words. TF analyses revealed unique contributions to the N400 from activity occurring at 1–6 Hz (theta) and 0–2 Hz (delta), supporting the view that multiple, sequential processes underlie the N400. PMID:23165117

Extracting information from the text of electronic medical records to improve case detection: a systematic review

PubMed Central

Carroll, John A; Smith, Helen E; Scott, Donia; Cassell, Jackie A

2016-01-01

Background Electronic medical records (EMRs) are revolutionizing health-related research. One key issue for study quality is the accurate identification of patients with the condition of interest. Information in EMRs can be entered as structured codes or unstructured free text. The majority of research studies have used only coded parts of EMRs for case-detection, which may bias findings, miss cases, and reduce study quality. This review examines whether incorporating information from text into case-detection algorithms can improve research quality. Methods A systematic search returned 9659 papers, 67 of which reported on the extraction of information from free text of EMRs with the stated purpose of detecting cases of a named clinical condition. Methods for extracting information from text and the technical accuracy of case-detection algorithms were reviewed. Results Studies mainly used US hospital-based EMRs, and extracted information from text for 41 conditions using keyword searches, rule-based algorithms, and machine learning methods. There was no clear difference in case-detection algorithm accuracy between rule-based and machine learning methods of extraction. Inclusion of information from text resulted in a significant improvement in algorithm sensitivity and area under the receiver operating characteristic in comparison to codes alone (median sensitivity 78% (codes + text) vs 62% (codes), P = .03; median area under the receiver operating characteristic 95% (codes + text) vs 88% (codes), P = .025). Conclusions Text in EMRs is accessible, especially with open source information extraction algorithms, and significantly improves case detection when combined with codes. More harmonization of reporting within EMR studies is needed, particularly standardized reporting of algorithm accuracy metrics like positive predictive value (precision) and sensitivity (recall). PMID:26911811

Fourth and fifth grade Latino(a) students making meaning of scientific informational texts

NASA Astrophysics Data System (ADS)

Croce, Keri-Anne

Using a socio-psycholinguistic perspective of literacy and a social-semiotic analysis of texts, this study investigates how six students made meaning of informational texts. The students came to school from a variety of English and Spanish language backgrounds. The research question being asked was 'How do Latino(a) fourth and fifth grade students make meaning of English informational texts?' Miscue analysis was used as a tool to investigate how students who have been labeled non-struggling readers by their classroom teacher and are from various language backgrounds approached five informational texts. In order to investigate students' responses to the nature of informational texts, this dissertation draws on commonly occurring structures within texts. Primary data collected included read alouds and retellings of five texts, retrospective miscue analysis, and interviews with six participant students. Two of these participants are discussed within this dissertation. Secondary data included classroom observations and teacher interviews. This study proposes that non-native speakers may use scientific concept placeholders as they transact with informational texts. The use of scientific concept placeholders by a reader indicates that the reader is engaged in the meaning making process and possesses evolving scientific knowledge about a phenomenon. The findings suggest that Latino(a) students' understandings of English informational texts is influenced not only by a student's language development but also (1) the nature of the text; (2) the reading strategies that a student uses, such as the use of placeholders; (3) the influence of the researcher during the aided retelling. This study contributes methodological tools to assess English language learners' reading. The conclusions presented within this study also support the idea that students from a variety of language backgrounds slightly altered their reliance on certain cuing systems as they encountered various sub-genres within an informational text. I conclude that reading assessment should account for how a student approaches different structural elements of a text.

Replicating a survey of pressure ulcer content in nursing textbooks.

PubMed

Ayello, Elizabeth A; Meaney, Geraldine

2003-09-01

Nurses enter the profession with knowledge about pressure ulcer prevention and care and acquired from their basic educational programs. A prior review of nursing textbooks regarding pressure ulcer content published almost a decade ago revealed that incomplete, inaccurate, and at times limited information (as few as 200 lines of text) was contained in 10 commonly used textbooks. A review of the updated editions of the textbooks revealed a wide variation in the number of lines of text devoted to pressure ulcers, depth and quality of information, and the number of illustrations and tables. New findings were the inclusion of cultural concepts and research studies. These findings suggest an improvement in the amount and quality of pressure ulcer information in the majority of nursing textbooks surveyed. Recommendations for future textbook chapters on pressure ulcers are provided.

Learning to research in first grade: Bridging the transition from narrative to expository texts and tasks

NASA Astrophysics Data System (ADS)

Weise, Richard

Decades of research indicate that students at all academic grade and performance levels perform poorly with informational texts and tasks and particularly with locating assignment-relevant information in expository texts. Students have little understanding of the individual tasks required, the arc of the activity, the hierarchical structure of the information they seek, or how to reconstitute and interpret the information they extract. Poor performance begins with the introduction of textbooks and research assignments in fourth grade and continues into adulthood. However, to date, neither educators nor researchers have substantially addressed this problem. In this quasi-experimental study, we ask if first-grade children can perform essential tasks in identifying, extracting, and integrating assignment-relevant information and if instruction improves their performance. To answer this question, we conducted a 15-week, teacher-led, intervention in two first-grade classrooms in an inner-city Nashville elementary school. We created a computer learning environment (NoteTaker) to facilitate children's creation of a mental model of the research process and a narrative/expository bridge curriculum to support the children's transition from all narrative to all expository texts and tasks. We also created a new scaffolding taxonomy and a reading-to-research model to focus our research. Teachers participated in weekly professional development workshops. The results of this quasi-experimental study indicate that at-risk, first-grade children are able to (a) identify relevant information in an expository text, (b) categorize the information they identify, and (c) justify their choice of category. Children's performance in the first and last tasks significantly improved with instruction, and low-performing readers showed the greatest benefits from instruction. We find that the children's performance in categorizing information depended upon content-specific knowledge that was not taught, as well as on the process knowledge that was taught. We also find that children's narrative reading performance predicted their initial-performance for each assessment measure. We argue that first-grade children are developmentally ready to read expository texts and to learn reading-to-research tasks and that primary-school literacy instruction should not be limited to reading and writing stories.

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

ERIC Educational Resources Information Center

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)

Enforced Sparse Non-Negative Matrix Factorization

DTIC Science & Technology

2016-01-23

documents to find interesting pieces of information. With limited resources, analysts often employ automated text - mining tools that highlight common...represented as an undirected bipartite graph. It has become a common method for generating topic models of text data because it is known to produce good results...model and the convergence rate of the underlying algorithm. I. Introduction A common analyst challenge is searching through large quantities of text

[Leonardo da Vinci--a dyslectic genius?].

PubMed

Røsstad, Anna

2002-12-10

Leonardo da Vinci's texts consist almost exclusively of scientific notes. Working on a book on Leonardo's art, I studied all Leonardo's published texts carefully for any new information. In some prefaces I came to suspect that Leonardo might have suffered from dyslexia. This article considers the question of whether it is possible to find indications of dyslexia in Leonardo's texts and in the accounts of his life.

Acceptability of delivering and accessing health information through text messaging among community health advisors.

PubMed

Schoenberger, Yu-Mei; Phillips, Janice; Mohiuddin, Mohammed Omar; McNees, Patrick; Scarinci, Isabel

2013-09-09

Communication technologies can play a significant role in decreasing communication inequalities and cancer disparities by promoting cancer control and enhancing population and individual health. Studies have shown that technology, such as the mobile phone short message service (SMS) or text messaging, can be an effective health communication strategy that influences individuals' health-related decisions, behaviors, and outcomes. The purpose of this study was to explore usage of communication technologies, assess the acceptability of mobile technology for delivery and access of health information, and identify cancer and health information needs among Deep South Network for Cancer Control trained Community Health Advisors as Research Partners (CHARPs). A mixed-method design was used, and a triangulation protocol was followed to combine quantitative and qualitative data. Focus groups (4 focus groups; n=37) and self-administered surveys (n=77) were conducted to determine CHARPs mobile phone and text message usage. The objective was to include identification of barriers and facilitators to a mobile phone intervention. All participants were African American (37/37, 100%), 11/37 (89%) were women, and the mean age was 53.4 (SD 13.9; focus groups) and 59.9 (SD 8.7; survey). Nearly all (33/37, 89%) of focus group participants reported owning a mobile phone. Of those, 8/33 (24%) owned a smartphone, 22/33 (67%) had a text messaging plan, and 18/33 (55%) and 11/33 (33%) received and sent text messages several times a week or day, respectively. Similar responses were seen among the survey participants, with 75/77 (97%) reporting owning a mobile phone, and of those, 22/75 (30%) owned a smartphone, 39/75 (53%) had a text messaging plan, and 37/75 (50%) received and 27/75 (37%) sent text messages several times a week or day. The benefits of a text messaging system mentioned by focus group participants included alternative form of communication, quick method for disseminating information, and privacy of communication. The main barriers reported by both groups to using mobile technology to receive health information were cost and not knowing how to text message. Ways to overcome barriers were explored with focus group participants, and education was the most proposed solution. Majority of CHARPs were in favor of receiving a weekly text message that would provide cancer/health information. The findings from this study indicate that CHARPs are receptive to receiving text messages focusing on cancer/health information and would be likely to engage in mobile health research. These findings represent the first step in the development of an interactive mobile health program designed to provide cancer/health information and a support network for the Deep South Network Community Health Advisors as Research Partners (DSN CHARPs).

Integration of Text- and Data-Mining Technologies for Use in Banking Applications

NASA Astrophysics Data System (ADS)

Maslankowski, Jacek

Unstructured data, most of it in the form of text files, typically accounts for 85% of an organization's knowledge stores, but it's not always easy to find, access, analyze or use (Robb 2004). That is why it is important to use solutions based on text and data mining. This solution is known as duo mining. This leads to improve management based on knowledge owned in organization. The results are interesting. Data mining provides to lead with structuralized data, usually powered from data warehouses. Text mining, sometimes called web mining, looks for patterns in unstructured data — memos, document and www. Integrating text-based information with structured data enriches predictive modeling capabilities and provides new stores of insightful and valuable information for driving business and research initiatives forward.

Separable processes before, during, and after the N400 elicited by previously inferred and new information: evidence from time-frequency decompositions.

PubMed

Steele, Vaughn R; Bernat, Edward M; van den Broek, Paul; Collins, Paul F; Patrick, Christopher J; Marsolek, Chad J

2013-01-25

Successful comprehension during reading often requires inferring information not explicitly presented. This information is readily accessible when subsequently encountered, and a neural correlate of this is an attenuation of the N400 event-related potential (ERP). We used ERPs and time-frequency (TF) analysis to investigate neural correlates of processing inferred information after a causal coherence inference had been generated during text comprehension. Participants read short texts, some of which promoted inference generation. After each text, they performed lexical decisions to target words that were unrelated or inference-related to the preceding text. Consistent with previous findings, inference-related words elicited an attenuated N400 relative to unrelated words. TF analyses revealed unique contributions to the N400 from activity occurring at 1-6 Hz (theta) and 0-2 Hz (delta), supporting the view that multiple, sequential processes underlie the N400. Copyright © 2012 Elsevier B.V. All rights reserved.

Toward a Better Understanding of Patient Health Literacy: A Focus on the Skills Patients Need to Find Health Information.

PubMed

Champlin, Sara; Mackert, Michael; Glowacki, Elizabeth M; Donovan, Erin E

2017-07-01

While many health literacy assessments exist, this area of research lacks an instrument that isolates and reflects the four components driving this concept (abilities to find, understand, use, and communicate about health information). The purpose of this study was to determine what abilities comprise the first component, how a patient finds health information. Low ( n = 13) and adequate ( n = 14) health literacy patients, and health professionals ( n = 10) described their experiences when looking for health information and the skills they employed to complete these tasks. Major skills/themes elicited included knowing when to search, credibility assessments, finding text and numerical information, interpersonal seeking, technology and online search, and spatial navigation. Findings from this study suggest that each of the dimensions included in the definition of health literacy warrants specific attention and assessment. Given identification of the skills comprising each dimension, interventions targeting deficits across health literacy dimensions could be developed to improve patient health.

Document Exploration and Automatic Knowledge Extraction for Unstructured Biomedical Text

NASA Astrophysics Data System (ADS)

Chu, S.; Totaro, G.; Doshi, N.; Thapar, S.; Mattmann, C. A.; Ramirez, P.

2015-12-01

We describe our work on building a web-browser based document reader with built-in exploration tool and automatic concept extraction of medical entities for biomedical text. Vast amounts of biomedical information are offered in unstructured text form through scientific publications and R&D reports. Utilizing text mining can help us to mine information and extract relevant knowledge from a plethora of biomedical text. The ability to employ such technologies to aid researchers in coping with information overload is greatly desirable. In recent years, there has been an increased interest in automatic biomedical concept extraction [1, 2] and intelligent PDF reader tools with the ability to search on content and find related articles [3]. Such reader tools are typically desktop applications and are limited to specific platforms. Our goal is to provide researchers with a simple tool to aid them in finding, reading, and exploring documents. Thus, we propose a web-based document explorer, which we called Shangri-Docs, which combines a document reader with automatic concept extraction and highlighting of relevant terms. Shangri-Docsalso provides the ability to evaluate a wide variety of document formats (e.g. PDF, Words, PPT, text, etc.) and to exploit the linked nature of the Web and personal content by performing searches on content from public sites (e.g. Wikipedia, PubMed) and private cataloged databases simultaneously. Shangri-Docsutilizes Apache cTAKES (clinical Text Analysis and Knowledge Extraction System) [4] and Unified Medical Language System (UMLS) to automatically identify and highlight terms and concepts, such as specific symptoms, diseases, drugs, and anatomical sites, mentioned in the text. cTAKES was originally designed specially to extract information from clinical medical records. Our investigation leads us to extend the automatic knowledge extraction process of cTAKES for biomedical research domain by improving the ontology guided information extraction process. We will describe our experience and implementation of our system and share lessons learned from our development. We will also discuss ways in which this could be adapted to other science fields. [1] Funk et al., 2014. [2] Kang et al., 2014. [3] Utopia Documents, http://utopiadocs.com [4] Apache cTAKES, http://ctakes.apache.org

Consider the source: Children link the accuracy of text-based sources to the accuracy of the author.

PubMed

Vanderbilt, Kimberly E; Ochoa, Karlena D; Heilbrun, Jayd

2018-05-06

The present research investigated whether young children link the accuracy of text-based information to the accuracy of its author. Across three experiments, three- and four-year-olds (N = 231) received information about object labels from accurate and inaccurate sources who provided information both in text and verbally. Of primary interest was whether young children would selectively rely on information provided by more accurate sources, regardless of the form in which the information was communicated. Experiment 1 tested children's trust in text-based information (e.g., books) written by an author with a history of either accurate or inaccurate verbal testimony and found that children showed greater trust in books written by accurate authors. Experiment 2 replicated the findings of Experiment 1 and extended them by showing that children's selective trust in more accurate text-based sources was not dependent on experience trusting or distrusting the author's verbal testimony. Experiment 3 investigated this understanding in reverse by testing children's trust in verbal testimony communicated by an individual who had authored either accurate or inaccurate text-based information. Experiment 3 revealed that children showed greater trust in individuals who had authored accurate rather than inaccurate books. Experiment 3 also demonstrated that children used the accuracy of text-based sources to make inferences about the mental states of the authors. Taken together, these results suggest children do indeed link the reliability of text-based sources to the reliability of the author. Statement of Contribution Existing knowledge Children use sources' prior accuracy to predict future accuracy in face-to-face verbal interactions. Children who are just learning to read show increased trust in text bases (vs. verbal) information. It is unknown whether children consider authors' prior accuracy when judging the accuracy of text-based information. New knowledge added by this article Preschool children track sources' accuracy across communication mediums - from verbal to text-based modalities and vice versa. Children link the reliability of text-based sources to the reliability of the author. © 2018 The British Psychological Society.

Health Information Retrieval Tool (HIRT)

PubMed Central

Nyun, Mra Thinzar; Ogunyemi, Omolola; Zeng, Qing

2002-01-01

The World Wide Web (WWW) is a powerful way to deliver on-line health information, but one major problem limits its value to consumers: content is highly distributed, while relevant and high quality information is often difficult to find. To address this issue, we experimented with an approach that utilizes three-dimensional anatomic models in conjunction with free-text search.

Feedback, Questions and Information Processing--Putting It All Together.

ERIC Educational Resources Information Center

Wager, Walter; Mory, Edna

This review of research on the effectiveness of adding questions to text materials to improve learning and the research on feedback posits that there is a connection between the findings in these two areas that can be viewed from an information processing perspective. A model of information processing taken from Gagne is used to organize the…

Differences between multimedia and text-based assessments of emotion management: An exploration with the multimedia emotion management assessment (MEMA).

PubMed

MacCann, Carolyn; Lievens, Filip; Libbrecht, Nele; Roberts, Richard D

2016-11-01

People process emotional information using visual, vocal, and verbal cues. However, emotion management is typically assessed with text based rather than multimedia stimuli. This study (N = 427) presents the new multimedia emotion management assessment (MEMA) and compares it to the text-based assessment of emotion management used in the MSCEIT. The text-based and multimedia assessment showed similar levels of cognitive saturation and similar prediction of relevant criteria. Results demonstrate that the MEMA scores have equivalent evidence of validity to the text-based MSCEIT test scores, demonstrating that multimedia assessment of emotion management is viable. Furthermore, our results inform the debate as to whether cognitive saturation in emotional intelligence (EI) measures represents "noise" or "substance". We find that cognitive ability associations with EI represent substantive variance rather than construct-irrelevant shared variance due to reading comprehension ability required for text-based items.

DrugQuest - a text mining workflow for drug association discovery.

PubMed

Papanikolaou, Nikolas; Pavlopoulos, Georgios A; Theodosiou, Theodosios; Vizirianakis, Ioannis S; Iliopoulos, Ioannis

2016-06-06

Text mining and data integration methods are gaining ground in the field of health sciences due to the exponential growth of bio-medical literature and information stored in biological databases. While such methods mostly try to extract bioentity associations from PubMed, very few of them are dedicated in mining other types of repositories such as chemical databases. Herein, we apply a text mining approach on the DrugBank database in order to explore drug associations based on the DrugBank "Description", "Indication", "Pharmacodynamics" and "Mechanism of Action" text fields. We apply Name Entity Recognition (NER) techniques on these fields to identify chemicals, proteins, genes, pathways, diseases, and we utilize the TextQuest algorithm to find additional biologically significant words. Using a plethora of similarity and partitional clustering techniques, we group the DrugBank records based on their common terms and investigate possible scenarios why these records are clustered together. Different views such as clustered chemicals based on their textual information, tag clouds consisting of Significant Terms along with the terms that were used for clustering are delivered to the user through a user-friendly web interface. DrugQuest is a text mining tool for knowledge discovery: it is designed to cluster DrugBank records based on text attributes in order to find new associations between drugs. The service is freely available at http://bioinformatics.med.uoc.gr/drugquest .

Evident or doubtful? How lexical hints in written information influence laypersons' understanding of influenza.

PubMed

Mayweg-Paus, Elisabeth; Jucks, Regina

2015-01-01

There are clear differences in the way written information on health issues presents research findings. In some cases, the source of a piece of information (e.g. "expert professor") is highlighted to emphasize its credibility and relevance. In other cases, the impact of a certain argument is stressed by avoiding hints on tentativeness such as "mostly" or "up to now." This article examines whether and how far such differences influence laypersons' comprehension of the contents provided. In an experimental setting, 157 laypersons were asked to read an online article on a new approach to preventing influenza. The texts manipulated whether there were (a) hints on the source of information and (b) lexical hints on the tentativeness of the information (hedges). After reading the text, participants were asked to write an essay reporting their opinion on the topic. Their argumentation on vaccination was assessed with content analysis and their attitudes toward vaccination were surveyed with a questionnaire. Results indicated that when lexical hints were given, tentativeness led participants to focus more on the actual information in the text. Additionally, decisions more strongly favored the direction implied in the text when the source of the medical information was not reported. Consequences for the way health information should be presented to laypersons are discussed.

Making Sense of Student Feedback Using Text Analysis--Adapting and Expanding a Common Lexicon

ERIC Educational Resources Information Center

Santhanam, Elizabeth; Lynch, Bernardine; Jones, Jeffrey

2018-01-01

Purpose: This paper aims to report the findings of a study into the automated text analysis of student feedback comments to assist in investigating a high volume of qualitative information at various levels in an Australian university. It includes the drawbacks and advantages of using selected applications and established lexicons. There has been…

The Effect of Software Reusability on Information Theory Based Software Metrics

DTIC Science & Technology

1990-01-01

of plans across programming languages and application areas, only a brief abstract treatment of non-contiguous "program parts" is mentioned in the...info->num = linenum; CA6 if(*info->text) W. if(find(linenum)) C.8 patchup(linenum, 1); /*fix up old line numbers*/ 107 C.9 if(*info->text) C-10 start

Trial of infographics in Northern Ireland (TINI): Preliminary evaluation and results of a randomized controlled trial comparing infographics with text.

PubMed

McCrorie, Alan David; Chen, Jingwen Jessica; Weller, Ross; McGlade, Kieran John; Donnelly, Conan

2018-06-01

Infographics represent a potential means of improving public knowledge about cancer. However, there is little experimental evidence of their efficacy. This preliminary study investigates whether infographics are superior to text for the communication of information about cancer risk in old age via a three armed randomized controlled trial. Trial involved allocation concealment and block randomization of 30 male participants aged over 50 to receive text information (control) or one of two infographics (interventions). Participants who viewed an infographic were more likely to know the correct association between cancer risk and old age compared with those viewing text information (risk ratio = 3.0, 95% confidence interval 0.82-10.90). Participants had limited understanding of the phrases "cancer incidence" and "cancer prevalence" but good understanding of the phrases "cancer risk factor" and "cancer stage." Possession of good numerical skills appears to be a key determinant of ability to extract meaning from statistical information provided; regardless of format. Initial results suggest icon array infographics may be more effective communication mediums than text but further study with more participants and an updated infographic is necessary to confirm this finding. ISRCTN33951209.

Including Both Time and Accuracy in Defining Text Search Efficiency.

ERIC Educational Resources Information Center

Symons, Sonya; Specht, Jacqueline A.

1994-01-01

Examines factors related to efficiency in a textbook search task. Finds that time and accuracy involved distinct processes and that accuracy was related to verbal competence. Finds further that measures of planning and extracting information accounted for 59% of the variance in search efficiency. Suggests that both accuracy and rate need to be…

Implementation of Free Text Format Nursing Diagnoses at a University Hospital's Medical Department. Exploring Nurses' and Nursing Students' Experiences on Use and Usefulness. A Qualitative Study

PubMed Central

Frigstad, Sigrun Aasen; Nøst, Torunn Hatlen; André, Beate

2015-01-01

Background. Nursing documentation has long traditions and represents core element of nursing, but the documentation is often criticized of being incomplete. Nursing diagnoses are an important research topic in nursing in terms of quality of nursing assessment, interventions, and outcome in addition to facilitating communication and continuity. Aim. The aim of this study was to explore the nurses' and nursing students' experiences after implementing free text format nursing diagnoses in a medical department. Method. The study design included educational intervention of free text nursing diagnoses. Data was collected through five focus group interviews with 18 nurses and 6 students as informants. The data was analyzed using qualitative content analysis. Results. The informants describe positive experiences concerning free text format nursing diagnoses' use and usefulness; it promotes reflection and discussion and is described as a useful tool in the diagnostic process, though it was challenging to find the diagnosis' appropriate formulation. Conclusion. Our findings indicate a valid usability of free text format nursing diagnoses as it promotes the diagnostic process. The use seems to enhance critical thinking and may serve as valuable preparation towards an implementation of standardized nursing diagnoses. Use and support of key personnel seem valuable in an implementation process. PMID:26075091

Should We Be Afraid of Simple Messages? The Effects of Text Difficulty and Illustrations in People With Low or High Health Literacy.

PubMed

Meppelink, Corine S; Smit, Edith G; Buurman, Bianca M; van Weert, Julia C M

2015-01-01

It is often recommended that health information should be simplified for people with low health literacy. However, little is known about whether messages adapted to low health literacy audiences are also effective for people with high health literacy, or whether simple messages are counterproductive in this group. Using a two (illustrated vs. text-only) by two (nondifficult vs. difficult text) between-subjects design, we test whether older adults with low (n = 279) versus high health literacy (n = 280) respond differently to colorectal cancer screening messages. Results showed that both health literacy groups recalled information best when the text was nondifficult. Reduced text difficulty did not lead to negative attitudes or less intention to have screening among people with high health literacy. Benefits of illustrations, in terms of improved recall and attitudes, were only found in people with low health literacy who were exposed to difficult texts. This was not found for people with high health literacy. In terms of informed decisions, nondifficult and illustrated messages resulted in the best informed decisions in the low health literacy group, whereas the high health literacy group benefited from nondifficult text in general, regardless of illustrations. Our findings imply that materials adapted to lower health literacy groups can also be used for a more general audience, as they do not deter people with high health literacy.

Notification: EPA's Processes for Preserving Emails and Text Messages, and Responding to Freedom of Information Act Requests

EPA Pesticide Factsheets

Project #OA&E-FY18-0217, May 17, 2018. The OIG plans to begin fieldwork to follow up on significant information technology security findings and recommendations noted in OIG reports, as well as to look into a hotline allegation received in FY 2018.

CCRIS: Carnegie Commission Reports Information System.

ERIC Educational Resources Information Center

Lavin, Mary Jo

The Carnegie Commission Reports Information System (CCRIS) attempts to make the findings of the 22 Commission reports (published by McGraw Hill Book Company) more readily available to the academic community. CCRIS consists of an explanatory text of 16 pages introducing the reader to a set of 1500 edge-notched McBee cards. Each card contains a…

Screen Design for Children's Reading: Some Key Issues.

ERIC Educational Resources Information Center

Walker, Sue; Reynolds, Linda

2000-01-01

Draws attention to design issues that are likely to affect the way that children interact with screen-based information texts. Presents information based on the findings of the Interactive Multimedia in Primary Schools (IMPS) project funded by the British Library. Summarizes the design-related aspects of the project, highlighting those issues that…

The Effects of Rereading, Self-Selected Strategy Use, and Rehearsal on the Immediate and Delayed Understanding of Text.

ERIC Educational Resources Information Center

Nist, Sherrie L.; And Others

1996-01-01

Studies influences of rereading and strategy use on college students' abilities to understand/remember text information, hypothesizing that those engaging in active strategy use should perform better than those who do not. Indicates no differences between groups on the recognition task, but finds differences on the recall task. Discusses time on…

FigSum: automatically generating structured text summaries for figures in biomedical literature.

PubMed

Agarwal, Shashank; Yu, Hong

2009-11-14

Figures are frequently used in biomedical articles to support research findings; however, they are often difficult to comprehend based on their legends alone and information from the full-text articles is required to fully understand them. Previously, we found that the information associated with a single figure is distributed throughout the full-text article the figure appears in. Here, we develop and evaluate a figure summarization system - FigSum, which aggregates this scattered information to improve figure comprehension. For each figure in an article, FigSum generates a structured text summary comprising one sentence from each of the four rhetorical categories - Introduction, Methods, Results and Discussion (IMRaD). The IMRaD category of sentences is predicted by an automated machine learning classifier. Our evaluation shows that FigSum captures 53% of the sentences in the gold standard summaries annotated by biomedical scientists and achieves an average ROUGE-1 score of 0.70, which is higher than a baseline system.

FigSum: Automatically Generating Structured Text Summaries for Figures in Biomedical Literature

PubMed Central

Agarwal, Shashank; Yu, Hong

2009-01-01

Figures are frequently used in biomedical articles to support research findings; however, they are often difficult to comprehend based on their legends alone and information from the full-text articles is required to fully understand them. Previously, we found that the information associated with a single figure is distributed throughout the full-text article the figure appears in. Here, we develop and evaluate a figure summarization system – FigSum, which aggregates this scattered information to improve figure comprehension. For each figure in an article, FigSum generates a structured text summary comprising one sentence from each of the four rhetorical categories – Introduction, Methods, Results and Discussion (IMRaD). The IMRaD category of sentences is predicted by an automated machine learning classifier. Our evaluation shows that FigSum captures 53% of the sentences in the gold standard summaries annotated by biomedical scientists and achieves an average ROUGE-1 score of 0.70, which is higher than a baseline system. PMID:20351812

SciRide Finder: a citation-based paradigm in biomedical literature search.

PubMed

Volanakis, Adam; Krawczyk, Konrad

2018-04-18

There are more than 26 million peer-reviewed biomedical research items according to Medline/PubMed. This breadth of information is indicative of the progress in biomedical sciences on one hand, but an overload for scientists performing literature searches on the other. A major portion of scientific literature search is to find statements, numbers and protocols that can be cited to build an evidence-based narrative for a new manuscript. Because science builds on prior knowledge, such information has likely been written out and cited in an older manuscript. Thus, Cited Statements, pieces of text from scientific literature supported by citing other peer-reviewed publications, carry significant amount of condensed information on prior art. Based on this principle, we propose a literature search service, SciRide Finder (finder.sciride.org), which constrains the search corpus to such Cited Statements only. We demonstrate that Cited Statements can carry different information to this found in titles/abstracts and full text, giving access to alternative literature search results than traditional search engines. We further show how presenting search results as a list of Cited Statements allows researchers to easily find information to build an evidence-based narrative for their own manuscripts.

Automatic natural acquisition of a semantic network for information retrieval systems

NASA Astrophysics Data System (ADS)

Enguehard, Chantal; Malvache, Pierre; Trigano, Philippe

1992-03-01

The amount of information is becoming greater and greater, in industries where complex processes are performed it is becoming increasingly difficult to profit from all the documents produced when fresh knowledge becomes available (reports, experiments, findings). This situation causes a considerable and expensive waste of precious time lost searching for documents or, quite simply, results in outright repeating what has been done. One solution is to transform all paper information into computerized information. We might imagine that we are in a science-fiction world and that we have the perfect computer. We tell it everything we know, we make it read all the books, and if we ask it any question, it will find the response if that response exists. But unfortunately, we are in the real world and the last four decades have taught us to minimize our expectations of computers. During the 1960s, the information retrieval systems appeared. Their purpose is to provide access to any desired documents, in response to a question about a subject, even if it is not known to exist. Here we focus on the problem of selecting items to index the documents. In 1966, Salton identified this problem as crucial when he saw that his system, Medlars, did not find a relevant text because of the wrong indexation. Faced with this problem, he imagined a guide to help authors choose the correct indexation, but he anticipated the automation of this operation with the SMART system. It was stated previously that a manual language analysis for information items by subjects experts is likely to prove impractical in the long run. After a brief survey of the existing responses to the index choice problem, we shall present the system automatic natural acquisition (ANA) which chooses items to index texts by using as little knowledge as possible- -just by learning the language. This system does not use any grammar or lexicon, so the selected indexes will be very close to the field concerned in the texts.

Text de-identification for privacy protection: a study of its impact on clinical text information content.

PubMed

Meystre, Stéphane M; Ferrández, Óscar; Friedlin, F Jeffrey; South, Brett R; Shen, Shuying; Samore, Matthew H

2014-08-01

As more and more electronic clinical information is becoming easier to access for secondary uses such as clinical research, approaches that enable faster and more collaborative research while protecting patient privacy and confidentiality are becoming more important. Clinical text de-identification offers such advantages but is typically a tedious manual process. Automated Natural Language Processing (NLP) methods can alleviate this process, but their impact on subsequent uses of the automatically de-identified clinical narratives has only barely been investigated. In the context of a larger project to develop and investigate automated text de-identification for Veterans Health Administration (VHA) clinical notes, we studied the impact of automated text de-identification on clinical information in a stepwise manner. Our approach started with a high-level assessment of clinical notes informativeness and formatting, and ended with a detailed study of the overlap of select clinical information types and Protected Health Information (PHI). To investigate the informativeness (i.e., document type information, select clinical data types, and interpretation or conclusion) of VHA clinical notes, we used five different existing text de-identification systems. The informativeness was only minimally altered by these systems while formatting was only modified by one system. To examine the impact of de-identification on clinical information extraction, we compared counts of SNOMED-CT concepts found by an open source information extraction application in the original (i.e., not de-identified) version of a corpus of VHA clinical notes, and in the same corpus after de-identification. Only about 1.2-3% less SNOMED-CT concepts were found in de-identified versions of our corpus, and many of these concepts were PHI that was erroneously identified as clinical information. To study this impact in more details and assess how generalizable our findings were, we examined the overlap between select clinical information annotated in the 2010 i2b2 NLP challenge corpus and automatic PHI annotations from our best-of-breed VHA clinical text de-identification system (nicknamed 'BoB'). Overall, only 0.81% of the clinical information exactly overlapped with PHI, and 1.78% partly overlapped. We conclude that automated text de-identification's impact on clinical information is small, but not negligible, and that improved clinical acronyms and eponyms disambiguation could significantly reduce this impact. Copyright © 2014 Elsevier Inc. All rights reserved.

BrdsNBz: A mixed methods study exploring adolescents' use of a sexual health text message service

NASA Astrophysics Data System (ADS)

Willoughby, Jessica Fitts

Sexual health text message services are becoming increasingly popular, but little is known about who uses such services and why. This project details the implementation of a campaign promoting a state-wide sexual health text message service that allows teens to text directly with a health educator and uses a mixed method design to assess who uses the service, what motivates use, and potential barriers to using the service. A theory of information seeking through text messaging is posited based on previous information seeking and communication theory and tested with adolescents. A social marketing campaign was created promoting a North Carolina sexual health text message service and conducted in six middle and high schools in the North Carolina Piedmont region in Fall 2012. More than 2000 students in four schools completed online questionnaires that assessed awareness of the service, perceptions, and use. Focus groups and in depth interviews were then conducted with middle and high school students. Results indicate teens who are sexually active and in relationships are more likely to use the service. A teens' level of uncertainty about sexual health influences affect, which in turn leads adolescents to assess various information options. Positive attitudes toward the service and credibility perceptions are direct predictors of intentions to use. Efficacy was found to be an indirect predictor, working through credibility perceptions to influence intentions to use. Although teens may have an interest in using the service, there are barriers associated with use. Survey findings and qualitative results indicate that teens are interested in using a sexual health text message service, but perceived costs, fear of parents finding out about service use, and a lack of understanding of how to use the service were barriers for some teens. This study has implications for sexual health text message services, especially those that allow teens to connect directly with a health educator.

Extract and visualize geolocation from any text file

NASA Astrophysics Data System (ADS)

Boustani, M.

2015-12-01

There are variety of text file formats such as PDF, HTML and more which contains words about locations(countries, cities, regions and more). GeoParser developed as one of sub-projects under DARPA Memex to help finding any geolocation information crawled website data. It is a web application benefiting from Apache Tika to extract locations from any text file format and visualize geolocations on the map. https://github.com/MBoustani/GeoParserhttps://github.com/chrismattmann/tika-pythonhttp://www.darpa.mil/program/memex

Text Mining for Precision Medicine: Bringing structure to EHRs and biomedical literature to understand genes and health

PubMed Central

Simmons, Michael; Singhal, Ayush; Lu, Zhiyong

2018-01-01

The key question of precision medicine is whether it is possible to find clinically actionable granularity in diagnosing disease and classifying patient risk. The advent of next generation sequencing and the widespread adoption of electronic health records (EHRs) have provided clinicians and researchers a wealth of data and made possible the precise characterization of individual patient genotypes and phenotypes. Unstructured text — found in biomedical publications and clinical notes — is an important component of genotype and phenotype knowledge. Publications in the biomedical literature provide essential information for interpreting genetic data. Likewise, clinical notes contain the richest source of phenotype information in EHRs. Text mining can render these texts computationally accessible and support information extraction and hypothesis generation. This chapter reviews the mechanics of text mining in precision medicine and discusses several specific use cases, including database curation for personalized cancer medicine, patient outcome prediction from EHR-derived cohorts, and pharmacogenomic research. Taken as a whole, these use cases demonstrate how text mining enables effective utilization of existing knowledge sources and thus promotes increased value for patients and healthcare systems. Text mining is an indispensable tool for translating genotype-phenotype data into effective clinical care that will undoubtedly play an important role in the eventual realization of precision medicine. PMID:27807747

Text Mining for Precision Medicine: Bringing Structure to EHRs and Biomedical Literature to Understand Genes and Health.

PubMed

Simmons, Michael; Singhal, Ayush; Lu, Zhiyong

2016-01-01

The key question of precision medicine is whether it is possible to find clinically actionable granularity in diagnosing disease and classifying patient risk. The advent of next-generation sequencing and the widespread adoption of electronic health records (EHRs) have provided clinicians and researchers a wealth of data and made possible the precise characterization of individual patient genotypes and phenotypes. Unstructured text-found in biomedical publications and clinical notes-is an important component of genotype and phenotype knowledge. Publications in the biomedical literature provide essential information for interpreting genetic data. Likewise, clinical notes contain the richest source of phenotype information in EHRs. Text mining can render these texts computationally accessible and support information extraction and hypothesis generation. This chapter reviews the mechanics of text mining in precision medicine and discusses several specific use cases, including database curation for personalized cancer medicine, patient outcome prediction from EHR-derived cohorts, and pharmacogenomic research. Taken as a whole, these use cases demonstrate how text mining enables effective utilization of existing knowledge sources and thus promotes increased value for patients and healthcare systems. Text mining is an indispensable tool for translating genotype-phenotype data into effective clinical care that will undoubtedly play an important role in the eventual realization of precision medicine.

Improving learning with science and social studies text using computer-based concept maps for students with disabilities.

PubMed

Ciullo, Stephen; Falcomata, Terry S; Pfannenstiel, Kathleen; Billingsley, Glenna

2015-01-01

Concept maps have been used to help students with learning disabilities (LD) improve literacy skills and content learning, predominantly in secondary school. However, despite increased access to classroom technology, no previous studies have examined the efficacy of computer-based concept maps to improve learning from informational text for students with LD in elementary school. In this study, we used a concurrent delayed multiple probe design to evaluate the interactive use of computer-based concept maps on content acquisition with science and social studies texts for Hispanic students with LD in Grades 4 and 5. Findings from this study suggest that students improved content knowledge during intervention relative to a traditional instruction baseline condition. Learning outcomes and social validity information are considered to inform recommendations for future research and the feasibility of classroom implementation. © The Author(s) 2014.

Exploring CP violation in the MSSM.

PubMed

Arbey, Alexandre; Ellis, John; Godbole, Rohini M; Mahmoudi, Farvah

We explore the prospects for observing CP violation in the minimal supersymmetric extension of the Standard Model (MSSM) with six CP-violating parameters, three gaugino mass phases and three phases in trilinear soft supersymmetry-breaking parameters, using the CPsuperH code combined with a geometric approach to maximise CP-violating observables subject to the experimental upper bounds on electric dipole moments. We also implement CP-conserving constraints from Higgs physics, flavour physics and the upper limits on the cosmological dark matter density and spin-independent scattering. We study possible values of observables within the constrained MSSM (CMSSM), the non-universal Higgs model (NUHM), the CPX scenario and a variant of the phenomenological MSSM (pMSSM). We find values of the CP-violating asymmetry [Formula: see text] in [Formula: see text] decay that may be as large as 3 %, so future measurements of [Formula: see text] may provide independent information about CP violation in the MSSM. We find that CP-violating MSSM contributions to the [Formula: see text] meson mass mixing term [Formula: see text] are in general below the present upper limit, which is dominated by theoretical uncertainties. If these could be reduced, [Formula: see text] could also provide an interesting and complementary constraint on the six CP-violating MSSM phases, enabling them all to be determined experimentally, in principle. We also find that CP violation in the [Formula: see text] and [Formula: see text] couplings can be quite large, and so may offer interesting prospects for future [Formula: see text], [Formula: see text], [Formula: see text] and [Formula: see text] colliders.

Factual text and emotional pictures: overcoming a false dichotomy of cigarette warning labels.

PubMed

Popova, Lucy; Owusu, Daniel; Jenson, Desmond; Neilands, Torsten B

2017-04-20

In reviewing the first set of pictorial warning labels in the USA, the courts equated textual labels with facts and information, and images with emotion. This study tested the differences in perceived informativeness and emotion between textual and pictorial cigarette warning labels. An online study with 1838 US adults who were non-smokers (n=764), transitioning smokers (quit smoking in the past 2 years or currently trying to quit, n=505) or current smokers (n=569). Each participant evaluated 9 out of 81 text and pictorial cigarette warning labels. Participants reported to what extent they perceived the label as informative and factual and the negative emotions they felt while looking at each label. We used linear mixed models to account for the nesting of multiple observations within each participant. There were no significant differences in perceived informativeness between textual (mean 6.15 on a 9-point scale) and pictorial labels (6.14, p=0.80, Cohen's d=0.003). Textual labels evoked slightly less emotion (4.21 on a 9-point scale) than pictorial labels (4.42, p<0.001, Cohen's d=0.08). Perceived informativeness and emotion were strongly correlated (Pearson r=0.53, p<0.001). Our findings contradict courts' conclusions that pictorial messages are emotional and not factual. Pictorial labels are rated as informative and factual, textual labels evoke emotion, and emotionality and informativeness are strongly correlated. These findings serve as evidence for the Food and Drug Administration (FDA) to counteract the claim that pictorial warning labels, by definition, are not 'purely factual and uncontroversial'. © 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.

Support Vector Machines: Relevance Feedback and Information Retrieval.

ERIC Educational Resources Information Center

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

2002-01-01

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

The Open Access Availability of Library and Information Science Literature

ERIC Educational Resources Information Center

Way, Doug

2010-01-01

To examine the open access availability of Library and Information Science (LIS) research, a study was conducted using Google Scholar to search for articles from 20 top LIS journals. The study examined whether Google Scholar was able to find any links to full text, if open access versions of the articles were available and where these articles…

Information Retrieval and Text Mining Technologies for Chemistry.

PubMed

Krallinger, Martin; Rabal, Obdulia; Lourenço, Anália; Oyarzabal, Julen; Valencia, Alfonso

2017-06-28

Efficient access to chemical information contained in scientific literature, patents, technical reports, or the web is a pressing need shared by researchers and patent attorneys from different chemical disciplines. Retrieval of important chemical information in most cases starts with finding relevant documents for a particular chemical compound or family. Targeted retrieval of chemical documents is closely connected to the automatic recognition of chemical entities in the text, which commonly involves the extraction of the entire list of chemicals mentioned in a document, including any associated information. In this Review, we provide a comprehensive and in-depth description of fundamental concepts, technical implementations, and current technologies for meeting these information demands. A strong focus is placed on community challenges addressing systems performance, more particularly CHEMDNER and CHEMDNER patents tasks of BioCreative IV and V, respectively. Considering the growing interest in the construction of automatically annotated chemical knowledge bases that integrate chemical information and biological data, cheminformatics approaches for mapping the extracted chemical names into chemical structures and their subsequent annotation together with text mining applications for linking chemistry with biological information are also presented. Finally, future trends and current challenges are highlighted as a roadmap proposal for research in this emerging field.

Precision and Disclosure in Text and Voice Interviews on Smartphones.

PubMed

Schober, Michael F; Conrad, Frederick G; Antoun, Christopher; Ehlen, Patrick; Fail, Stefanie; Hupp, Andrew L; Johnston, Michael; Vickers, Lucas; Yan, H Yanna; Zhang, Chan

2015-01-01

As people increasingly communicate via asynchronous non-spoken modes on mobile devices, particularly text messaging (e.g., SMS), longstanding assumptions and practices of social measurement via telephone survey interviewing are being challenged. In the study reported here, 634 people who had agreed to participate in an interview on their iPhone were randomly assigned to answer 32 questions from US social surveys via text messaging or speech, administered either by a human interviewer or by an automated interviewing system. 10 interviewers from the University of Michigan Survey Research Center administered voice and text interviews; automated systems launched parallel text and voice interviews at the same time as the human interviews were launched. The key question was how the interview mode affected the quality of the response data, in particular the precision of numerical answers (how many were not rounded), variation in answers to multiple questions with the same response scale (differentiation), and disclosure of socially undesirable information. Texting led to higher quality data-fewer rounded numerical answers, more differentiated answers to a battery of questions, and more disclosure of sensitive information-than voice interviews, both with human and automated interviewers. Text respondents also reported a strong preference for future interviews by text. The findings suggest that people interviewed on mobile devices at a time and place that is convenient for them, even when they are multitasking, can give more trustworthy and accurate answers than those in more traditional spoken interviews. The findings also suggest that answers from text interviews, when aggregated across a sample, can tell a different story about a population than answers from voice interviews, potentially altering the policy implications from a survey.

SmartMom Text Messaging for Prenatal Education: A Qualitative Focus Group Study to Explore Canadian Women’s Perceptions

PubMed Central

Munro, Sarah; Hui, Amber; Salmons, Vanessa; Solomon, Carolyn; Gemmell, Emily; Torabi, Nahal

2017-01-01

Background We engaged Canadian women in the development of a prenatal education program delivered via one-way text messaging called SmartMom. SmartMom is the first peer-reviewed, evidence-based mHealth program for prenatal education in Canada and the first to be endorsed by the Society of Obstetricians and Gynaecologists of Canada. Objective To explore women’s preferences for a prenatal education program by text messaging. Methods We conducted a qualitative focus group study in three Canadian communities in the Northern Health Authority. Women completed a demographic questionnaire, participated in a guided discussion about their pregnancy information-seeking behavior, reviewed a printed copy of the SmartMom text messages, and then engaged in a moderated discussion about their perceptions of the usability of the SmartMom program. Open-ended questions explored women’s perceptions regarding the message content, acceptability of receiving information by text message, positive health behaviors they might engage in after receiving a message, modifiable program factors, and intention to use the program. Thematic analysis of transcribed audio recordings was undertaken and modifications were made to the SmartMom program based on these findings. Results A total of 40 women participated in seven focus groups in three rural northern communities. The vast majority had a mobile phone (39/40, 98%), used text messages “all the time” (28/40, 70%), and surfed the Internet on their phone (37/40, 93%). Participants perceived SmartMom to be highly acceptable and relevant. The text message modality reflected how participants currently sought pregnancy-related information and provided them with local information tailored to their gestational age, which they had not received through other pregnancy resources. Women recommended adding the opportunity to receive supplemental streams of messages tailored to their individual needs, for example, depression, pregnancy after previous cesarean, >35 years of age, new immigrants, and harm reduction for smoking and alcohol. Conclusions This formative qualitative evaluation provides evidence that a prenatal education program by text messaging, SmartMom, is acceptable to the end users. These findings support the usability of the SmartMom program at a population level and the development of an evaluation program exploring the effects of the text messages on adoption of health-promoting behaviors and maternal-child health outcomes. PMID:28174149

Hemispheric asymmetries in discourse processing: evidence from false memories for lists and texts.

PubMed

Ben-Artzi, Elisheva; Faust, Miriam; Moeller, Edna

2009-01-01

Previous research suggests that the right hemisphere (RH) may contribute uniquely to discourse and text processing by activating and maintaining a wide range of meanings, including more distantly related meanings. The present study used the word-lists false memory paradigm [Roediger, H. L., III, & McDermott, K. B. (1995). Creating false memories: Remembering words not presented in lists. Journal of Experimental Psychology: Learning, Memory, and Cognition, 21, 803-814.] to examine the hypothesis that difference between the two cerebral hemispheres in discourse processing may be due, at least partly, to memory representations for implicit text-related semantic information. Specifically, we tested the susceptibility of the left hemisphere (LH) and RH to unpresented target words following the presentation of semantically related words appearing in either word lists or short texts. Findings showed that the RH produced more false alarms than the LH for unpresented target words following either word lists or texts. These findings reveal hemispheric differences in memory for semantically related information and suggest that RH advantage in long-term maintenance of a wide range of text-related word meanings may be one aspect of its unique contribution to the construction of a discourse model. The results support the RH coarse semantic coding theory [Beeman, M. (1998). Coarse semantic coding and discourse comprehension. In M. Beeman & C. Chiarello (Eds.), Right hemisphere language comprehension: Perspectives from cognitive neuroscience (pp. 255-284). Mahwah, NJ: Erlbaum.] and suggest that hemispheric differences in semantic processing during language comprehension extend also to verbal memory.

Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research.

PubMed

Bravo, Àlex; Piñero, Janet; Queralt-Rosinach, Núria; Rautschka, Michael; Furlong, Laura I

2015-02-21

Current biomedical research needs to leverage and exploit the large amount of information reported in scientific publications. Automated text mining approaches, in particular those aimed at finding relationships between entities, are key for identification of actionable knowledge from free text repositories. We present the BeFree system aimed at identifying relationships between biomedical entities with a special focus on genes and their associated diseases. By exploiting morpho-syntactic information of the text, BeFree is able to identify gene-disease, drug-disease and drug-target associations with state-of-the-art performance. The application of BeFree to real-case scenarios shows its effectiveness in extracting information relevant for translational research. We show the value of the gene-disease associations extracted by BeFree through a number of analyses and integration with other data sources. BeFree succeeds in identifying genes associated to a major cause of morbidity worldwide, depression, which are not present in other public resources. Moreover, large-scale extraction and analysis of gene-disease associations, and integration with current biomedical knowledge, provided interesting insights on the kind of information that can be found in the literature, and raised challenges regarding data prioritization and curation. We found that only a small proportion of the gene-disease associations discovered by using BeFree is collected in expert-curated databases. Thus, there is a pressing need to find alternative strategies to manual curation, in order to review, prioritize and curate text-mining data and incorporate it into domain-specific databases. We present our strategy for data prioritization and discuss its implications for supporting biomedical research and applications. BeFree is a novel text mining system that performs competitively for the identification of gene-disease, drug-disease and drug-target associations. Our analyses show that mining only a small fraction of MEDLINE results in a large dataset of gene-disease associations, and only a small proportion of this dataset is actually recorded in curated resources (2%), raising several issues on data prioritization and curation. We propose that joint analysis of text mined data with data curated by experts appears as a suitable approach to both assess data quality and highlight novel and interesting information.

Comprehending expository texts: the dynamic neurobiological correlates of building a coherent text representation

PubMed Central

Swett, Katherine; Miller, Amanda C.; Burns, Scott; Hoeft, Fumiko; Davis, Nicole; Petrill, Stephen A.; Cutting, Laurie E.

2013-01-01

Little is known about the neural correlates of expository text comprehension. In this study, we sought to identify neural networks underlying expository text comprehension, how those networks change over the course of comprehension, and whether information central to the overall meaning of the text is functionally distinct from peripheral information. Seventeen adult subjects read expository passages while being scanned using functional magnetic resonance imaging (fMRI). By convolving phrase onsets with the hemodynamic response function (HRF), we were able to identify regions that increase and decrease in activation over the course of passage comprehension. We found that expository text comprehension relies on the co-activation of the semantic control network and regions in the posterior midline previously associated with mental model updating and integration [posterior cingulate cortex (PCC) and precuneus (PCU)]. When compared to single word comprehension, left PCC and left Angular Gyrus (AG) were activated only for discourse-level comprehension. Over the course of comprehension, reliance on the same regions in the semantic control network increased, while a parietal region associated with attention [intraparietal sulcus (IPS)] decreased. These results parallel previous findings in narrative comprehension that the initial stages of mental model building require greater visuospatial attention processes, while maintenance of the model increasingly relies on semantic integration regions. Additionally, we used an event-related analysis to examine phrases central to the text's overall meaning vs. peripheral phrases. It was found that central ideas are functionally distinct from peripheral ideas, showing greater activation in the PCC and PCU, while over the course of passage comprehension, central and peripheral ideas increasingly recruit different parts of the semantic control network. The finding that central information elicits greater response in mental model updating regions than peripheral ideas supports previous behavioral models on the cognitive importance of distinguishing textual centrality. PMID:24376411

The orifice revisited: women in gynaecological texts.

PubMed

Koutroulis, G

1990-01-01

A content analysis was carried out on obstetric and gynaecological textbooks recommended for medical students at four Australian universities. The texts were read for a hidden curriculum of sexist ideology. This study is a partial replication of a study carried out by Scully and Bart in the United States eighteen years ago. The findings of Scully and Bart demonstrated that obstetric and gynaecological texts contained outdated and erroneous views about women's sexuality and portrayed women in stereotyped roles. It was anticipated that institutionalized changes may have occurred since the time that Scully and Bart carried out their research and the texts would reflect this accordingly; particularly with the effect of the women's health movement which has been expressing dissatisfaction with the health care system. The findings of this research show that sexist ideology still pervades the obstetric and gynaecological texts, though to a lesser extent than eighteen years ago. There are some differences from what Scully and Bart discovered, but major similarities were found. The main difference between the results of this study and the findings of Scully and Bart, is that the majority of texts analysed here did not contain outdated and incorrect information about women's sexual response. For example, none of the texts refer to vaginal orgasm as the 'mature' response for women. The main similarity is that women's sexuality is still depicted with a heterosexual perspective, with marriage and mothering the 'natural' aspirations of all women.

Making Cancer Health Text on the Internet Easier to Read for Deaf People Who Use American Sign Language.

PubMed

Kushalnagar, Poorna; Smith, Scott; Hopper, Melinda; Ryan, Claire; Rinkevich, Micah; Kushalnagar, Raja

2018-02-01

People with relatively limited English language proficiency find the Internet's cancer and health information difficult to access and understand. The presence of unfamiliar words and complex grammar make this particularly difficult for Deaf people. Unfortunately, current technology does not support low-cost, accurate translations of online materials into American Sign Language. However, current technology is relatively more advanced in allowing text simplification, while retaining content. This research team developed a two-step approach for simplifying cancer and other health text. They then tested the approach, using a crossover design with a sample of 36 deaf and 38 hearing college students. Results indicated that hearing college students did well on both the original and simplified text versions. Deaf college students' comprehension, in contrast, significantly benefitted from the simplified text. This two-step translation process offers a strategy that may improve the accessibility of Internet information for Deaf, as well as other low-literacy individuals.

Memory and Comprehension for Health Information among Older Adults: Distinguishing the Effects of Domain-General and Domain-Specific Knowledge

PubMed Central

Chin, Jessie; Payne, Brennan; Gao, Xuefei; Conner-Garcia, Thembi; Graumlich, James F.; Murray, Michael D.; Morrow, Daniel G.; Stine-Morrow, Elizabeth A.L.

2014-01-01

While there is evidence that knowledge influences understanding of health information, less is known about the processing mechanisms underlying this effect and its impact on memory. We used the moving window paradigm to examine how older adults varying in domain-general crystallized ability (verbal ability) and health knowledge allocate attention to understand health and domain-general texts. Participants (n=107, aged 60 to 88 yrs) read and recalled single sentences about hypertension and about non-health topics. Mixed-effects modeling of word-by-word reading times suggested that domain-general crystallized ability increased conceptual integration regardless of text domain, while health knowledge selectively increased resource allocation to conceptual integration at clause boundaries in health texts. These patterns of attentional allocation were related to subsequent recall performance. Although older adults with lower levels of crystallized ability were less likely to engage in integrative processing, when they did, this strategy had a compensatory effect in improving recall. These findings suggest that semantic integration during reading is an important comprehension process that supports the construction of the memory representation and is engendered by knowledge. Implications of the findings for theories of text processing and memory as well as for designing patient education materials are discussed. PMID:24787361

Memory and comprehension for health information among older adults: distinguishing the effects of domain-general and domain-specific knowledge.

PubMed

Chin, Jessie; Payne, Brennan; Gao, Xuefei; Conner-Garcia, Thembi; Graumlich, James F; Murray, Michael D; Morrow, Daniel G; Stine-Morrow, Elizabeth A L

2015-01-01

While there is evidence that knowledge influences understanding of health information, less is known about the processing mechanisms underlying this effect and its impact on memory. We used the moving window paradigm to examine how older adults varying in domain-general crystallised ability (verbal ability) and health knowledge allocate attention to understand health and domain-general texts. Participants (n = 107, age: 60-88 years) read and recalled single sentences about hypertension and about non-health topics. Mixed-effects modelling of word-by-word reading times suggested that domain-general crystallised ability increased conceptual integration regardless of text domain, while health knowledge selectively increased resource allocation to conceptual integration at clause boundaries in health texts. These patterns of attentional allocation were related to subsequent recall performance. Although older adults with lower levels of crystallised ability were less likely to engage in integrative processing, when they did, this strategy had a compensatory effect in improving recall. These findings suggest that semantic integration during reading is an important comprehension process that supports the construction of the memory representation and is engendered by knowledge. Implications of the findings for theories of text processing and memory as well as for designing patient education materials are discussed.

Individual Uncertainty and the Uncertainty of Science: The Impact of Perceived Conflict and General Self-Efficacy on the Perception of Tentativeness and Credibility of Scientific Information.

PubMed

Flemming, Danny; Feinkohl, Insa; Cress, Ulrike; Kimmerle, Joachim

2015-01-01

We examined in two empirical studies how situational and personal aspects of uncertainty influence laypeople's understanding of the uncertainty of scientific information, with focus on the detection of tentativeness and perception of scientific credibility. In the first study (N = 48), we investigated the impact of a perceived conflict due to contradicting information as a situational, text-inherent aspect of uncertainty. The aim of the second study (N = 61) was to explore the role of general self-efficacy as an intra-personal uncertainty factor. In Study 1, participants read one of two versions of an introductory text in a between-group design. This text provided them with an overview about the neurosurgical procedure of deep brain stimulation (DBS). The text expressed a positive attitude toward DBS in one experimental condition or focused on the negative aspects of this method in the other condition. Then participants in both conditions read the same text that dealt with a study about DBS as experimental treatment in a small sample of patients with major depression. Perceived conflict between the two texts was found to increase the perception of tentativeness and to decrease the perception of scientific credibility, implicating that text-inherent aspects have significant effects on critical appraisal. The results of Study 2 demonstrated that participants with higher general self-efficacy detected the tentativeness to a lesser degree and assumed a higher level of scientific credibility, indicating a more naïve understanding of scientific information. This appears to be contradictory to large parts of previous findings that showed positive effects of high self-efficacy on learning. Both studies showed that perceived tentativeness and perceived scientific credibility of medical information contradicted each other. We conclude that there is a need for supporting laypeople in understanding the uncertainty of scientific information and that scientific writers should consider how to present scientific results when compiling pertinent texts.

Individual Uncertainty and the Uncertainty of Science: The Impact of Perceived Conflict and General Self-Efficacy on the Perception of Tentativeness and Credibility of Scientific Information

PubMed Central

Flemming, Danny; Feinkohl, Insa; Cress, Ulrike; Kimmerle, Joachim

2015-01-01

We examined in two empirical studies how situational and personal aspects of uncertainty influence laypeople’s understanding of the uncertainty of scientific information, with focus on the detection of tentativeness and perception of scientific credibility. In the first study (N = 48), we investigated the impact of a perceived conflict due to contradicting information as a situational, text-inherent aspect of uncertainty. The aim of the second study (N = 61) was to explore the role of general self-efficacy as an intra-personal uncertainty factor. In Study 1, participants read one of two versions of an introductory text in a between-group design. This text provided them with an overview about the neurosurgical procedure of deep brain stimulation (DBS). The text expressed a positive attitude toward DBS in one experimental condition or focused on the negative aspects of this method in the other condition. Then participants in both conditions read the same text that dealt with a study about DBS as experimental treatment in a small sample of patients with major depression. Perceived conflict between the two texts was found to increase the perception of tentativeness and to decrease the perception of scientific credibility, implicating that text-inherent aspects have significant effects on critical appraisal. The results of Study 2 demonstrated that participants with higher general self-efficacy detected the tentativeness to a lesser degree and assumed a higher level of scientific credibility, indicating a more naïve understanding of scientific information. This appears to be contradictory to large parts of previous findings that showed positive effects of high self-efficacy on learning. Both studies showed that perceived tentativeness and perceived scientific credibility of medical information contradicted each other. We conclude that there is a need for supporting laypeople in understanding the uncertainty of scientific information and that scientific writers should consider how to present scientific results when compiling pertinent texts. PMID:26648902

A tutorial on information retrieval: basic terms and concepts

PubMed Central

Zhou, Wei; Smalheiser, Neil R; Yu, Clement

2006-01-01

This informal tutorial is intended for investigators and students who would like to understand the workings of information retrieval systems, including the most frequently used search engines: PubMed and Google. Having a basic knowledge of the terms and concepts of information retrieval should improve the efficiency and productivity of searches. As well, this knowledge is needed in order to follow current research efforts in biomedical information retrieval and text mining that are developing new systems not only for finding documents on a given topic, but extracting and integrating knowledge across documents. PMID:16722601

Research notes : information at your fingertips!

DOT National Transportation Integrated Search

2000-03-01

TRIS Online includes full-text reports or links to publishers or suppliers of the original documents. You will find titles, publication dates, authors, abstracts, and document sources. : Each year over 20,000 new records are added to TRIS. The databa...

Use of text messaging to audit early clinical outcome following vasectomy in primary care.

PubMed

Cooper, Graham; Walker, Jean; Harris, Douglas; Stewart, Rorie; Nicol, Douglas; Ogg, Mike

2011-04-01

Fifty patients undergoing vasectomy at community-based day surgery clinics in Grampian were invited to participate in follow-up by text message. Forty-six (92%) of the patients responded, 14 reporting problems, generally of a minor nature, but severe enough to result in unscheduled time off work (n = 4) and oral antibiotic therapy (n = 5). Text messaging appears to be a useful form of communication for audit in this setting. The study findings have influenced the information provided by the authors at preoperative counselling.

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

NASA Astrophysics Data System (ADS)

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

2009-03-01

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

Conceptual biology, hypothesis discovery, and text mining: Swanson's legacy.

PubMed

Bekhuis, Tanja

2006-04-03

Innovative biomedical librarians and information specialists who want to expand their roles as expert searchers need to know about profound changes in biology and parallel trends in text mining. In recent years, conceptual biology has emerged as a complement to empirical biology. This is partly in response to the availability of massive digital resources such as the network of databases for molecular biologists at the National Center for Biotechnology Information. Developments in text mining and hypothesis discovery systems based on the early work of Swanson, a mathematician and information scientist, are coincident with the emergence of conceptual biology. Very little has been written to introduce biomedical digital librarians to these new trends. In this paper, background for data and text mining, as well as for knowledge discovery in databases (KDD) and in text (KDT) is presented, then a brief review of Swanson's ideas, followed by a discussion of recent approaches to hypothesis discovery and testing. 'Testing' in the context of text mining involves partially automated methods for finding evidence in the literature to support hypothetical relationships. Concluding remarks follow regarding (a) the limits of current strategies for evaluation of hypothesis discovery systems and (b) the role of literature-based discovery in concert with empirical research. Report of an informatics-driven literature review for biomarkers of systemic lupus erythematosus is mentioned. Swanson's vision of the hidden value in the literature of science and, by extension, in biomedical digital databases, is still remarkably generative for information scientists, biologists, and physicians.

Exploring elementary school teachers' perception of their role in teaching content literacy in the elementary science and social studies classrooms: A mixed methods study

NASA Astrophysics Data System (ADS)

Jones-Moore, Lisa Michelle

2011-12-01

This mixed-methods study explored third, fourth, and fifth grade teachers' perceptions of their role in teaching content literacy in the elementary science and social studies classroom. The rationale for this study was the growing number of studies questioning the reliance on the inoculation theory for content area literacy comprehension. The study was a mixed methods study so as to provide insight into the participants' thought processes in decision making and instructional planning. Data sources included timed instructional observations, tiered checklist to identify strategy instruction, and prompted critical reflections. The three-tiered observation instrument categorized strategies used by teachers in tiers according to the focus of the strategy. Tier I strategies were those identified as strategies good readers use, typically taught with narrative text. The inoculation theory posits these skills transfer to reading informational and expository text. Tier II strategies were those identified as strategies appropriate for informational or expository text. Use of these strategies acknowledged that narrative and informational/expository text require different strategies, but does not differentiate between expository text drawn from particular content area. Tier III strategies were those identified as strategies particularly suited to informational or expository text drawn from specific content areas. These strategies embody cognitive processes used to comprehend text drawn from specific content areas. The findings showed the participating teachers used a preferential Tier of strategy instruction. Some participants felt that reading comprehension was more important than content. They viewed reading as a subject instead of an integral part of science and social studies instruction.

Prizing Children's Science Information Books: The Text, Reading and the Reader

ERIC Educational Resources Information Center

Alexander, Joy; Jarman, Ruth

2015-01-01

The Royal Society Young People's Book Prize is awarded annually in the United Kingdom for the best science information book, and the winning book is chosen by panels of young people. This article discusses the findings of a study of the responses to the books and to their judging experience of young people who participated on panels in the 2011…

Figure-associated text summarization and evaluation.

PubMed

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

2015-01-01

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

Figure-Associated Text Summarization and Evaluation

PubMed Central

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

2015-01-01

Biomedical literature incorporates millions of figures, which are a rich and important knowledge resource for biomedical researchers. Scientists need access to the figures and the knowledge they represent in order to validate research findings and to generate new hypotheses. By themselves, these figures are nearly always incomprehensible to both humans and machines and their associated texts are therefore essential for full comprehension. The associated text of a figure, however, is scattered throughout its full-text article and contains redundant information content. In this paper, we report the continued development and evaluation of several figure summarization systems, the FigSum+ systems, that automatically identify associated texts, remove redundant information, and generate a text summary for every figure in an article. Using a set of 94 annotated figures selected from 19 different journals, we conducted an intrinsic evaluation of FigSum+. We evaluate the performance by precision, recall, F1, and ROUGE scores. The best FigSum+ system is based on an unsupervised method, achieving F1 score of 0.66 and ROUGE-1 score of 0.97. The annotated data is available at figshare.com (http://figshare.com/articles/Figure_Associated_Text_Summarization_and_Evaluation/858903). PMID:25643357

What Can Pictures Tell Us About Web Pages? Improving Document Search Using Images.

PubMed

Rodriguez-Vaamonde, Sergio; Torresani, Lorenzo; Fitzgibbon, Andrew W

2015-06-01

Traditional Web search engines do not use the images in the HTML pages to find relevant documents for a given query. Instead, they typically operate by computing a measure of agreement between the keywords provided by the user and only the text portion of each page. In this paper we study whether the content of the pictures appearing in a Web page can be used to enrich the semantic description of an HTML document and consequently boost the performance of a keyword-based search engine. We present a Web-scalable system that exploits a pure text-based search engine to find an initial set of candidate documents for a given query. Then, the candidate set is reranked using visual information extracted from the images contained in the pages. The resulting system retains the computational efficiency of traditional text-based search engines with only a small additional storage cost needed to encode the visual information. We test our approach on one of the TREC Million Query Track benchmarks where we show that the exploitation of visual content yields improvement in accuracies for two distinct text-based search engines, including the system with the best reported performance on this benchmark. We further validate our approach by collecting document relevance judgements on our search results using Amazon Mechanical Turk. The results of this experiment confirm the improvement in accuracy produced by our image-based reranker over a pure text-based system.

Statistical Analysis of the Indus Script Using n-Grams

PubMed Central

Yadav, Nisha; Joglekar, Hrishikesh; Rao, Rajesh P. N.; Vahia, Mayank N.; Adhikari, Ronojoy; Mahadevan, Iravatham

2010-01-01

The Indus script is one of the major undeciphered scripts of the ancient world. The small size of the corpus, the absence of bilingual texts, and the lack of definite knowledge of the underlying language has frustrated efforts at decipherment since the discovery of the remains of the Indus civilization. Building on previous statistical approaches, we apply the tools of statistical language processing, specifically n-gram Markov chains, to analyze the syntax of the Indus script. We find that unigrams follow a Zipf-Mandelbrot distribution. Text beginner and ender distributions are unequal, providing internal evidence for syntax. We see clear evidence of strong bigram correlations and extract significant pairs and triplets using a log-likelihood measure of association. Highly frequent pairs and triplets are not always highly significant. The model performance is evaluated using information-theoretic measures and cross-validation. The model can restore doubtfully read texts with an accuracy of about 75%. We find that a quadrigram Markov chain saturates information theoretic measures against a held-out corpus. Our work forms the basis for the development of a stochastic grammar which may be used to explore the syntax of the Indus script in greater detail. PMID:20333254

SmartMom Text Messaging for Prenatal Education: A Qualitative Focus Group Study to Explore Canadian Women's Perceptions.

PubMed

Munro, Sarah; Hui, Amber; Salmons, Vanessa; Solomon, Carolyn; Gemmell, Emily; Torabi, Nahal; Janssen, Patricia A

2017-02-07

We engaged Canadian women in the development of a prenatal education program delivered via one-way text messaging called SmartMom. SmartMom is the first peer-reviewed, evidence-based mHealth program for prenatal education in Canada and the first to be endorsed by the Society of Obstetricians and Gynaecologists of Canada. To explore women's preferences for a prenatal education program by text messaging. We conducted a qualitative focus group study in three Canadian communities in the Northern Health Authority. Women completed a demographic questionnaire, participated in a guided discussion about their pregnancy information-seeking behavior, reviewed a printed copy of the SmartMom text messages, and then engaged in a moderated discussion about their perceptions of the usability of the SmartMom program. Open-ended questions explored women's perceptions regarding the message content, acceptability of receiving information by text message, positive health behaviors they might engage in after receiving a message, modifiable program factors, and intention to use the program. Thematic analysis of transcribed audio recordings was undertaken and modifications were made to the SmartMom program based on these findings. A total of 40 women participated in seven focus groups in three rural northern communities. The vast majority had a mobile phone (39/40, 98%), used text messages "all the time" (28/40, 70%), and surfed the Internet on their phone (37/40, 93%). Participants perceived SmartMom to be highly acceptable and relevant. The text message modality reflected how participants currently sought pregnancy-related information and provided them with local information tailored to their gestational age, which they had not received through other pregnancy resources. Women recommended adding the opportunity to receive supplemental streams of messages tailored to their individual needs, for example, depression, pregnancy after previous cesarean, >35 years of age, new immigrants, and harm reduction for smoking and alcohol. This formative qualitative evaluation provides evidence that a prenatal education program by text messaging, SmartMom, is acceptable to the end users. These findings support the usability of the SmartMom program at a population level and the development of an evaluation program exploring the effects of the text messages on adoption of health-promoting behaviors and maternal-child health outcomes. ©Sarah Munro, Amber Hui, Vanessa Salmons, Carolyn Solomon, Emily Gemmell, Nahal Torabi, Patricia A Janssen. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 07.02.2017.

Web accessibility support for visually impaired users using link content analysis.

PubMed

Iwata, Hajime; Kobayashi, Naofumi; Tachibana, Kenji; Shirogane, Junko; Fukazawa, Yoshiaki

2013-12-01

Web pages are used for a variety of purposes. End users must understand dynamically changing content and sequentially follow page links to find desired material, requiring significant time and effort. However, for visually impaired users using screen readers, it can be difficult to find links to web pages when link text and alternative text descriptions are inappropriate. Our method supports the discovery of content by analyzing 8 categories of link types, and allows visually impaired users to be aware of the content represented by links in advance. This facilitates end users access to necessary information on web pages. Our method of classifying web page links is therefore effective as a means of evaluating accessibility.

Receptivity of African American Adolescents to an HIV-Prevention Curriculum Enhanced by Text Messaging

PubMed Central

Cornelius, Judith B.; St Lawrence, Janet S.

2013-01-01

PURPOSE This study assessed African American adolescents’ receptivity to an HIV-prevention curriculum enhanced by text messaging. DESIGN AND METHODS Two focus groups were conducted with 14 African American adolescents regarding how an HIV-prevention curriculum could be enhanced for text messaging delivery. RESULTS The adolescents were receptive to the idea of text messaging HIV-prevention information but wanted to receive a maximum of three messages per day during the hours of 4:00–6:00 p.m. PRACTICE IMPLICATIONS By taking the findings of this study, nurses, other healthcare providers, and community-based organizations can adapt evidence-based interventions for text messaging delivery to individuals at high risk for HIV infection. PMID:19356206

Text-in-context: a method for extracting findings in mixed-methods mixed research synthesis studies.

PubMed

Sandelowski, Margarete; Leeman, Jennifer; Knafl, Kathleen; Crandell, Jamie L

2013-06-01

Our purpose in this paper is to propose a new method for extracting findings from research reports included in mixed-methods mixed research synthesis studies. International initiatives in the domains of systematic review and evidence synthesis have been focused on broadening the conceptualization of evidence, increased methodological inclusiveness and the production of evidence syntheses that will be accessible to and usable by a wider range of consumers. Initiatives in the general mixed-methods research field have been focused on developing truly integrative approaches to data analysis and interpretation. The data extraction challenges described here were encountered, and the method proposed for addressing these challenges was developed, in the first year of the ongoing (2011-2016) study: Mixed-Methods Synthesis of Research on Childhood Chronic Conditions and Family. To preserve the text-in-context of findings in research reports, we describe a method whereby findings are transformed into portable statements that anchor results to relevant information about sample, source of information, time, comparative reference point, magnitude and significance and study-specific conceptions of phenomena. The data extraction method featured here was developed specifically to accommodate mixed-methods mixed research synthesis studies conducted in nursing and other health sciences, but reviewers might find it useful in other kinds of research synthesis studies. This data extraction method itself constitutes a type of integration to preserve the methodological context of findings when statements are read individually and in comparison to each other. © 2012 Blackwell Publishing Ltd.

How To Tutor Students with Reading Comprehension Problems.

ERIC Educational Resources Information Center

Parker, Richard; Hasbrouck, Jan E.; Denton, Carolyn

2002-01-01

Suggestions for tutoring students with reading comprehension problems include careful selection of books with readable text segments, use of comprehension strategies such as paraphrasing brief sections, and reading to find specific information. Several reading comprehension strategies for students are summarized. (Contains 7 references.) (DB)

Science Informational Trade Books: An Exploration of Text-based Practices and Interactions in a First-grade Classroom

NASA Astrophysics Data System (ADS)

Schreier, Virginia A.

Although scholars have long advocated the use of informational texts in the primary grades, gaps and inconsistencies in research have produced conflicting reports on how teachers used these texts in the primary curriculum, and how primary students dealt with them during instruction and on their own (e.g., Saul & Dieckman, 2005). Thus, to add to research on informational texts in the primary grades, the purpose of this study was to examine: (a) a first-grade teacher's use of science informational trade books (SITBs) in her classroom, (b) the ways students responded to her instruction, and (c) how students interacted with these texts. My study was guided by a sociocultural perspective (e.g., Bakhtin, 1981; Vygotsky, 1978), providing me a lens to examine participants during naturally occurring social practices in the classroom, mediated by language and other symbolic tools. Data were collected by means of 28 observations, 6 semi-structured interviews, 21 unstructured interviews, and 26 documents over the course of 10 weeks. Three themes generated from the data to provide insight into the teacher's and students' practices and interactions with SITBs. First, the first-grade teacher used SITBs as teaching tools during guided conversations around the text to scaffold students' understanding of specialized vocabulary, science concepts, and text features. Her instruction with SITBs included shared reading lessons, interactive read-alouds and learning activities during two literacy/science units. However, there was limited use of SITBs during the rest of her reading program, in which she demonstrated a preference for narrative. Second, students responded to instruction by participating in guided conversations around the text, in which they used prior knowledge, shared ideas, and visual representations (e.g., illustrations, diagrams, labels, and captions) to actively make meaning of the text. Third, students interacted with SITBs on their own to make sense of science, in which they demonstrated their interest in reading the texts, formed connections to science, used reading strategies, and adjusted to the text type and variations of text complexity. The findings indicate the teacher's practices with SITBs were supportive of literacy and science learning for students at various levels of reading development. However, her inexperience with informational books and her preference for narrative demonstrates a need for training to assist her in providing guided and individualized reading instruction with SITBs, as well as provide students with full access to these texts in the classroom. Further, the teacher's overgeneralizations for science during instruction with SITBs indicates the need for training to strengthen her knowledge of science that would better prepare her to convey information and critically read information presented in these texts. Finally, the students' engagement with SITBs and their use of strategies to make sense of these texts on their own, indicates the first graders were motivated and capable readers of informational books.

Hand on the wheel, mind on the mobile: an analysis of social factors contributing to texting while driving.

PubMed

Seiler, Steven J

2015-02-01

In an era defined by social technology, mobile phones provide constant connection to others. However, they also present a very dangerous situation when people choose to use their mobile phones while driving. In particular, exchanging text messages while driving has resulted in numerous accidents and fatalities. The purpose of this study is to examine social factors that lead people to text while driving. Specifically, using a multivariate logistic regression analysis of data from a 2010 survey by the Pew Research Center, variables for general mobile talk, driving while talking on a mobile, using the Internet on a mobile, sexting, and various motivations for texting were examined to determine factors that increase the likelihood of texting while driving. The findings suggest that people engage in mobile multiplexing (i.e., communication using two or more media on the mobile) while driving. Additionally, exchanging text messages in public, and consequently texting while driving, has become normalized. Furthermore, people are socialized into such behaviors through observing others texting while driving and using a mobile recklessly while driving. Finally, a number of motivations for texting were found to increase the likelihood of texting while driving significantly. Ultimately, the author contends that texting while driving has become a cultural artifact in the United States, which conflicts with driver safety as well as laws prohibiting texting while driving. The findings of this study could inform future awareness campaigns and technology developers to help establish a safer driving environment within the multitasking culture.

Assessing the Representation of Occupation Information in Free-Text Clinical Documents Across Multiple Sources

PubMed Central

Lindemann, Elizabeth A.; Chen, Elizabeth S.; Rajamani, Sripriya; Manohar, Nivedha; Wang, Yan; Melton, Genevieve B.

2017-01-01

There has been increasing recognition of the key role of social determinants like occupation on health. Given the relatively poor understanding of occupation information in electronic health records (EHRs), we sought to characterize occupation information within free-text clinical document sources. From six distinct clinical sources, 868 total occupation-related sentences were identified for the study corpus. Building off approaches from previous studies, refined annotation guidelines were created using the National Institute for Occupational Safety and Health Occupational Data for Health data model with elements added to increase granularity. Our corpus generated 2,005 total annotations representing 39 of 41 entity types from the enhanced data model. Highest frequency entities were: Occupation Description (17.7%); Employment Status – Not Specified (12.5%); Employer Name (11.0%); Subject (9.8%); Industry Description (6.2%). Our findings support the value for standardizing entry of EHR occupation information to improve data quality for improved patient care and secondary uses of this information. PMID:29295142

TOPTRAC: Topical Trajectory Pattern Mining

PubMed Central

Kim, Younghoon; Han, Jiawei; Yuan, Cangzhou

2015-01-01

With the increasing use of GPS-enabled mobile phones, geo-tagging, which refers to adding GPS information to media such as micro-blogging messages or photos, has seen a surge in popularity recently. This enables us to not only browse information based on locations, but also discover patterns in the location-based behaviors of users. Many techniques have been developed to find the patterns of people's movements using GPS data, but latent topics in text messages posted with local contexts have not been utilized effectively. In this paper, we present a latent topic-based clustering algorithm to discover patterns in the trajectories of geo-tagged text messages. We propose a novel probabilistic model to capture the semantic regions where people post messages with a coherent topic as well as the patterns of movement between the semantic regions. Based on the model, we develop an efficient inference algorithm to calculate model parameters. By exploiting the estimated model, we next devise a clustering algorithm to find the significant movement patterns that appear frequently in data. Our experiments on real-life data sets show that the proposed algorithm finds diverse and interesting trajectory patterns and identifies the semantic regions in a finer granularity than the traditional geographical clustering methods. PMID:26709365

Validation and Assessment of a Technology Familiarity Score in Patients Attending a Symptomatic Breast Clinic.

PubMed

O'Brien, C; Kelly, J; Lehane, E A; Livingstone, V; Cotter, B; Butt, A; Kelly, L; Corrigan, M A

2015-10-01

New media technologies (computers, mobile phones and the internet) have the potential to transform the healthcare information needs of patients with breast disease (Ferlay et al. in Eur J Cancer 49:1374-1403, 2013). However, patients' current level of use and their willingness to accept new media for education and communication remain unknown. This was a single-centre clinic-based prospective cross-sectional study. A previously developed instrument was modified, validated and tested on patients attending a symptomatic breast clinic. The instrument was evaluated on 200 symptomatic breast patients. The commonest outlets for education were staff (95 %), leaflets (69 %) and websites (59 %). Websites are more likely to be consulted by younger patients (<47 years), and patients who were working, students or homemakers (p < 0.05). Patients rated usefulness of information media in this order: (1) print, (2) phone, (3) website, (4) email, (5) text and (6) apps. Patients who were new to the clinic were more likely to find text messaging and emailing useful (n < 0.05). Younger patients (<47 years) are more likely to find text messages, apps, websites and email useful (p < 0.05). Urban patients are more likely to find websites and email useful (p < 0.05). Patients with higher education were more likely to favour apps, websites and email (p < 0.05). Smartphone owners were significantly more likely to rate text messaging, apps, websites and email as useful media (p < 0.05). This study demonstrates that new media technology use among breast patients is expanding as expected along generational trends. As such its' further integration into healthcare systems can potentially ameliorate patient education and communication.

Considering context: reliable entity networks through contextual relationship extraction

NASA Astrophysics Data System (ADS)

David, Peter; Hawes, Timothy; Hansen, Nichole; Nolan, James J.

2016-05-01

Existing information extraction techniques can only partially address the problem of exploiting unreadable-large amounts text. When discussion of events and relationships is limited to simple, past-tense, factual descriptions of events, current NLP-based systems can identify events and relationships and extract a limited amount of additional information. But the simple subset of available information that existing tools can extract from text is only useful to a small set of users and problems. Automated systems need to find and separate information based on what is threatened or planned to occur, has occurred in the past, or could potentially occur. We address the problem of advanced event and relationship extraction with our event and relationship attribute recognition system, which labels generic, planned, recurring, and potential events. The approach is based on a combination of new machine learning methods, novel linguistic features, and crowd-sourced labeling. The attribute labeler closes the gap between structured event and relationship models and the complicated and nuanced language that people use to describe them. Our operational-quality event and relationship attribute labeler enables Warfighters and analysts to more thoroughly exploit information in unstructured text. This is made possible through 1) More precise event and relationship interpretation, 2) More detailed information about extracted events and relationships, and 3) More reliable and informative entity networks that acknowledge the different attributes of entity-entity relationships.

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

PubMed

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, found the discontinuity of text-based conversations very frustrating, and experienced problems when dealing with several youth at the same time. They also struggled with some the computer-based platform features. Finding suggest that text-based intervention are now essential to reach out to youth seeking for information and help. But, Tel-jeunes text-based service required adaptations of the intervention model. Adjustment were made by the managment team when implementing the service which required taking into account youth needs, engaging in a continuous dialogue with counselors and working with the suppliers of the text-based platform to improve its features. Futur challenges include reaching out for boys, conducting interventions with younger youth who feel confortable contacting the service by SMS, and managing urgent requests initiated via web text-messaging apps rather than mobile phones.

Semantic characteristics of NLP-extracted concepts in clinical notes vs. biomedical literature.

PubMed

Wu, Stephen; Liu, Hongfang

2011-01-01

Natural language processing (NLP) has become crucial in unlocking information stored in free text, from both clinical notes and biomedical literature. Clinical notes convey clinical information related to individual patient health care, while biomedical literature communicates scientific findings. This work focuses on semantic characterization of texts at an enterprise scale, comparing and contrasting the two domains and their NLP approaches. We analyzed the empirical distributional characteristics of NLP-discovered named entities in Mayo Clinic clinical notes from 2001-2010, and in the 2011 MetaMapped Medline Baseline. We give qualitative and quantitative measures of domain similarity and point to the feasibility of transferring resources and techniques. An important by-product for this study is the development of a weighted ontology for each domain, which gives distributional semantic information that may be used to improve NLP applications.

Synthetic Organic Chemical Manufacturing Industry: Organic National Emission Standards for Hazardous Air Pollutants (NESHAP) - 40 CFR 63 Subparts F,G,H,I

EPA Pesticide Factsheets

Read about the National Emission Standards for Hazardous Air Pollutants (NESHAP) for the Synthetic Organic Chemical Manufacturing Industry. Read the rules, find the CFR text, dockets, effective dates, rule history and compliance information.

Information literacy in science writing: how students find, identify, and use scientific literature

NASA Astrophysics Data System (ADS)

Klucevsek, Kristin M.; Brungard, Allison B.

2016-11-01

For undergraduate students to achieve science literacy, they must first develop information literacy skils. These skills align with Information Literacy Standards and include determining appropriate databases, distinguishing among resource types, and citing resources ethically. To effectively improve information literacy and science literacy, we must identify how students interact with authentic scientific texts. In this case study, we addressed this aim by embedding a science librarian into a science writing course, where students wrote a literature review on a research topic of their choice. Library instruction was further integrated through the use of an online guide and outside assistance. To evaluate the evolution of information literacy in our students and provide evidence of student practices, we used task-scaffolded writing assessments, a reflection, and surveys. We found that students improved their ability and confidence in finding research articles using discipline-specific databases as well as their ability to distinguish primary from secondary research articles. We also identified ways students improperly used and cited resources in their writing assignments. While our results reveal a better understanding of how students find and approach scientific research articles, additional research is needed to develop effective strategies to improve long-term information literacy in the sciences.

Corpus and Method for Identifying Citations in Non-Academic Text (Open Access, Publisher’s Version)

DTIC Science & Technology

2014-05-31

patents, train a CRF classifier to find new citations, and apply a reranker to incorporate non-local information. Our best system achieves 0.83 F -score on...report precision, recall, and F -scores on chunk level. CRF training and decoding is performed with the CRF++ package7 using its default setting. 5.1...only obtain a very small number of training examples for statistical rerankers. 7http://crfpp.sourceforge.net Precision Recall F -score TEXT 0.7997 0.7805

Effects of using online narrative and didactic information on healthcare participation for breast cancer patients.

PubMed

Wise, Meg; Han, Jeong Yeob; Shaw, Bret; McTavish, Fiona; Gustafson, David H

2008-03-01

To determine the effects of online narrative and didactic information on breast cancer patients' healthcare participation and the interaction effects of race. 353 breast cancer patients (111 African Americans) using an eHealth program with narratives (audiovisual and text) and didactic information (text only). healthcare participation scale (0, 4 months), online information use. hierarchical regression. Narrative (beta=0.123, p<0.01) and didactic (beta=0.104, p<0.05) information use had independent and positive effects on healthcare participation. Effects of both were significantly greater for African Americans. Findings are consistent with and advance prior research on online learning processes and outcomes for breast cancer patients: (1) benefits accrue with using a variety of online learning tools; (2) African Americans use and benefit more from online narrative and didactic information than do Caucasians. eHealth programs should provide both didactic and narrative information-especially for African Americans and might consider making greater use of interactive and audiovisual formats. As patients increasingly use of the web for cancer information, clinicians should provide lists of web high quality resources that provide both narrative and didactic information.

Medical Student and Tutor Perceptions of Video Versus Text in an Interactive Online Virtual Patient for Problem-Based Learning: A Pilot Study.

PubMed

Woodham, Luke A; Ellaway, Rachel H; Round, Jonathan; Vaughan, Sophie; Poulton, Terry; Zary, Nabil

2015-06-18

The impact of the use of video resources in primarily paper-based problem-based learning (PBL) settings has been widely explored. Although it can provide many benefits, the use of video can also hamper the critical thinking of learners in contexts where learners are developing clinical reasoning. However, the use of video has not been explored in the context of interactive virtual patients for PBL. A pilot study was conducted to explore how undergraduate medical students interpreted and evaluated information from video- and text-based materials presented in the context of a branched interactive online virtual patient designed for PBL. The goal was to inform the development and use of virtual patients for PBL and to inform future research in this area. An existing virtual patient for PBL was adapted for use in video and provided as an intervention to students in the transition year of the undergraduate medicine course at St George's, University of London. Survey instruments were used to capture student and PBL tutor experiences and perceptions of the intervention, and a formative review meeting was run with PBL tutors. Descriptive statistics were generated for the structured responses and a thematic analysis was used to identify emergent themes in the unstructured responses. Analysis of student responses (n=119) and tutor comments (n=18) yielded 8 distinct themes relating to the perceived educational efficacy of information presented in video and text formats in a PBL context. Although some students found some characteristics of the videos beneficial, when asked to express a preference for video or text the majority of those that responded to the question (65%, 65/100) expressed a preference for text. Student responses indicated that the use of video slowed the pace of PBL and impeded students' ability to review and critically appraise the presented information. Our findings suggest that text was perceived to be a better source of information than video in virtual patients for PBL. More specifically, the use of video was perceived as beneficial for providing details, visual information, and context where text was unable to do so. However, learner acceptance of text was higher in the context of PBL, particularly when targeting clinical reasoning skills. This pilot study has provided the foundation for further research into the effectiveness of different virtual patient designs for PBL.

The Role of Text Memory in Inferencing and in Comprehension Deficits

ERIC Educational Resources Information Center

Hua, Anh N.; Keenan, Janice M.

2014-01-01

Comprehension tests often compare accuracy on inferential versus literal questions and find inferential harder than literal, and poor comprehenders performing worse than controls. Difficulties in integration are assumed to be the reason. This research explores another reason--differences in memory for the passage information underlying the…

Skim, Scan, and Run

ERIC Educational Resources Information Center

McCaughey, Kevin

2018-01-01

Teachers often think of reading activities as silent, individual tasks in which seated students process every word in a copy of a text that the whole class is working with. Instead, in this activity, students will work in groups to practice skimming (identifying general ideas) and scanning (finding specific information) while reading several short…

The Lived Experience of In-Service Teachers Using Synchronous Technology: A Phenomenological Study

ERIC Educational Resources Information Center

Vasquez, Sarah T.

2017-01-01

Unlike most online professional development opportunities, synchronous technology affords immediate communications for discussion and feedback while interacting with participants simultaneously through text, audio, video, and screen sharing. The purpose of this study is to find answers to meet the practical need to inform, design, and implement…

Making Sense of Close Reading

ERIC Educational Resources Information Center

Duck, Paul

2018-01-01

The term "close reading" is problematic for English teachers, yet a heightened awareness of the role that language plays in mediating experience and social relationships is fundamental to an informed and critically engaged citizenry. This essay finds that a focus on abstracted ideological content of literary texts comes at the cost of…

DEEPEN: A negation detection system for clinical text incorporating dependency relation into NegEx

PubMed Central

Mehrabi, Saeed; Krishnan, Anand; Sohn, Sunghwan; Roch, Alexandra M; Schmidt, Heidi; Kesterson, Joe; Beesley, Chris; Dexter, Paul; Schmidt, C. Max; Liu, Hongfang; Palakal, Mathew

2018-01-01

In Electronic Health Records (EHRs), much of valuable information regarding patients’ conditions is embedded in free text format. Natural language processing (NLP) techniques have been developed to extract clinical information from free text. One challenge faced in clinical NLP is that the meaning of clinical entities is heavily affected by modifiers such as negation. A negation detection algorithm, NegEx, applies a simplistic approach that has been shown to be powerful in clinical NLP. However, due to the failure to consider the contextual relationship between words within a sentence, NegEx fails to correctly capture the negation status of concepts in complex sentences. Incorrect negation assignment could cause inaccurate diagnosis of patients’ condition or contaminated study cohorts. We developed a negation algorithm called DEEPEN to decrease NegEx’s false positives by taking into account the dependency relationship between negation words and concepts within a sentence using Stanford dependency parser. The system was developed and tested using EHR data from Indiana University (IU) and it was further evaluated on Mayo Clinic dataset to assess its generalizability. The evaluation results demonstrate DEEPEN, which incorporates dependency parsing into NegEx, can reduce the number of incorrect negation assignment for patients with positive findings, and therefore improve the identification of patients with the target clinical findings in EHRs. PMID:25791500

Implementation of the common phrase index method on the phrase query for information retrieval

NASA Astrophysics Data System (ADS)

Fatmawati, Triyah; Zaman, Badrus; Werdiningsih, Indah

2017-08-01

As the development of technology, the process of finding information on the news text is easy, because the text of the news is not only distributed in print media, such as newspapers, but also in electronic media that can be accessed using the search engine. In the process of finding relevant documents on the search engine, a phrase often used as a query. The number of words that make up the phrase query and their position obviously affect the relevance of the document produced. As a result, the accuracy of the information obtained will be affected. Based on the outlined problem, the purpose of this research was to analyze the implementation of the common phrase index method on information retrieval. This research will be conducted in English news text and implemented on a prototype to determine the relevance level of the documents produced. The system is built with the stages of pre-processing, indexing, term weighting calculation, and cosine similarity calculation. Then the system will display the document search results in a sequence, based on the cosine similarity. Furthermore, system testing will be conducted using 100 documents and 20 queries. That result is then used for the evaluation stage. First, determine the relevant documents using kappa statistic calculation. Second, determine the system success rate using precision, recall, and F-measure calculation. In this research, the result of kappa statistic calculation was 0.71, so that the relevant documents are eligible for the system evaluation. Then the calculation of precision, recall, and F-measure produces precision of 0.37, recall of 0.50, and F-measure of 0.43. From this result can be said that the success rate of the system to produce relevant documents is low.

Text-in-Context: A Method for Extracting Findings in Mixed-Methods Mixed Research Synthesis Studies

PubMed Central

Leeman, Jennifer; Knafl, Kathleen; Crandell, Jamie L.

2012-01-01

Aim Our purpose in this paper is to propose a new method for extracting findings from research reports included in mixed-methods mixed research synthesis studies. Background International initiatives in the domains of systematic review and evidence synthesis have been focused on broadening the conceptualization of evidence, increased methodological inclusiveness and the production of evidence syntheses that will be accessible to and usable by a wider range of consumers. Initiatives in the general mixed-methods research field have been focused on developing truly integrative approaches to data analysis and interpretation. Data source The data extraction challenges described here were encountered and the method proposed for addressing these challenges was developed, in the first year of the ongoing (2011–2016) study: Mixed-Methods Synthesis of Research on Childhood Chronic Conditions and Family. Discussion To preserve the text-in-context of findings in research reports, we describe a method whereby findings are transformed into portable statements that anchor results to relevant information about sample, source of information, time, comparative reference point, magnitude and significance and study-specific conceptions of phenomena. Implications for nursing The data extraction method featured here was developed specifically to accommodate mixed-methods mixed research synthesis studies conducted in nursing and other health sciences, but reviewers might find it useful in other kinds of research synthesis studies. Conclusion This data extraction method itself constitutes a type of integration to preserve the methodological context of findings when statements are read individually and in comparison to each other. PMID:22924808

EFFECTS OF USING ONLINE NARRATIVE AND DIDACTIC INFORMATION ON HEALTHCARE PARTICIPATION FOR BREAST CANCER PATIENTS

PubMed Central

Wise, Meg; Han, Jeong Yeob; Shaw, Bret; McTavish, Fiona; Gustafson, David H.

2008-01-01

Objectives To determine the effects of online narrative and didactic information on breast cancer patients’ healthcare participation and the interaction effects of race. Methods Sample: 353 breast cancer patients (111 African Americans) using an eHealth program with narratives (audiovisual and text) and didactic information (text only). Measures: healthcare participation scale (0, 4 months), online information use. Analyses: hierarchical regression. Results Narrative (β = .123, p <.01) and didactic (β = .104, p <.05) information use had independent and positive effects on healthcare participation. Effects of both were significantly greater for African Americans. Conclusions Findings are consistent with and advance prior research on online learning processes and outcomes for breast cancer patients: (1) Benefits accrue with using a variety of online learning tools; and (2) African Americans use and benefit more from online narrative and didactic information than do Caucasians. Practice implications eHealth programs should provide both didactic and narrative information—especially for African Americans and might consider making greater use of interactive and audiovisual formats. As patients increasingly use of the web for cancer information, clinicians should provide lists of web high quality resources that provide both narrative and didactic information. PMID:18201859

Motif-Based Text Mining of Microbial Metagenome Redundancy Profiling Data for Disease Classification.

PubMed

Wang, Yin; Li, Rudong; Zhou, Yuhua; Ling, Zongxin; Guo, Xiaokui; Xie, Lu; Liu, Lei

2016-01-01

Text data of 16S rRNA are informative for classifications of microbiota-associated diseases. However, the raw text data need to be systematically processed so that features for classification can be defined/extracted; moreover, the high-dimension feature spaces generated by the text data also pose an additional difficulty. Here we present a Phylogenetic Tree-Based Motif Finding algorithm (PMF) to analyze 16S rRNA text data. By integrating phylogenetic rules and other statistical indexes for classification, we can effectively reduce the dimension of the large feature spaces generated by the text datasets. Using the retrieved motifs in combination with common classification methods, we can discriminate different samples of both pneumonia and dental caries better than other existing methods. We extend the phylogenetic approaches to perform supervised learning on microbiota text data to discriminate the pathological states for pneumonia and dental caries. The results have shown that PMF may enhance the efficiency and reliability in analyzing high-dimension text data.

KneeTex: an ontology-driven system for information extraction from MRI reports.

PubMed

Spasić, Irena; Zhao, Bo; Jones, Christopher B; Button, Kate

2015-01-01

In the realm of knee pathology, magnetic resonance imaging (MRI) has the advantage of visualising all structures within the knee joint, which makes it a valuable tool for increasing diagnostic accuracy and planning surgical treatments. Therefore, clinical narratives found in MRI reports convey valuable diagnostic information. A range of studies have proven the feasibility of natural language processing for information extraction from clinical narratives. However, no study focused specifically on MRI reports in relation to knee pathology, possibly due to the complexity of knee anatomy and a wide range of conditions that may be associated with different anatomical entities. In this paper we describe KneeTex, an information extraction system that operates in this domain. As an ontology-driven information extraction system, KneeTex makes active use of an ontology to strongly guide and constrain text analysis. We used automatic term recognition to facilitate the development of a domain-specific ontology with sufficient detail and coverage for text mining applications. In combination with the ontology, high regularity of the sublanguage used in knee MRI reports allowed us to model its processing by a set of sophisticated lexico-semantic rules with minimal syntactic analysis. The main processing steps involve named entity recognition combined with coordination, enumeration, ambiguity and co-reference resolution, followed by text segmentation. Ontology-based semantic typing is then used to drive the template filling process. We adopted an existing ontology, TRAK (Taxonomy for RehAbilitation of Knee conditions), for use within KneeTex. The original TRAK ontology expanded from 1,292 concepts, 1,720 synonyms and 518 relationship instances to 1,621 concepts, 2,550 synonyms and 560 relationship instances. This provided KneeTex with a very fine-grained lexico-semantic knowledge base, which is highly attuned to the given sublanguage. Information extraction results were evaluated on a test set of 100 MRI reports. A gold standard consisted of 1,259 filled template records with the following slots: finding, finding qualifier, negation, certainty, anatomy and anatomy qualifier. KneeTex extracted information with precision of 98.00 %, recall of 97.63 % and F-measure of 97.81 %, the values of which are in line with human-like performance. KneeTex is an open-source, stand-alone application for information extraction from narrative reports that describe an MRI scan of the knee. Given an MRI report as input, the system outputs the corresponding clinical findings in the form of JavaScript Object Notation objects. The extracted information is mapped onto TRAK, an ontology that formally models knowledge relevant for the rehabilitation of knee conditions. As a result, formally structured and coded information allows for complex searches to be conducted efficiently over the original MRI reports, thereby effectively supporting epidemiologic studies of knee conditions.

BioUSeR: a semantic-based tool for retrieving Life Science web resources driven by text-rich user requirements

PubMed Central

2013-01-01

Background Open metadata registries are a fundamental tool for researchers in the Life Sciences trying to locate resources. While most current registries assume that resources are annotated with well-structured metadata, evidence shows that most of the resource annotations simply consists of informal free text. This reality must be taken into account in order to develop effective techniques for resource discovery in Life Sciences. Results BioUSeR is a semantic-based tool aimed at retrieving Life Sciences resources described in free text. The retrieval process is driven by the user requirements, which consist of a target task and a set of facets of interest, both expressed in free text. BioUSeR is able to effectively exploit the available textual descriptions to find relevant resources by using semantic-aware techniques. Conclusions BioUSeR overcomes the limitations of the current registries thanks to: (i) rich specification of user information needs, (ii) use of semantics to manage textual descriptions, (iii) retrieval and ranking of resources based on user requirements. PMID:23635042

Dimensionality and Its Effect on Retention and Visual Scanning.

ERIC Educational Resources Information Center

Abed, Farough

1994-01-01

Describes a study of eighth graders that compared the effects of two-dimensional and three-dimensional illustrated texts on eye movement strategies and on retention of information. Results are reported that support earlier research findings that realism in illustrations is not necessarily facilitating and may even be distracting. (Contains 19…

Identifying Spanish-English Cognates to Scaffold Instruction for Latino ELs

ERIC Educational Resources Information Center

Montelongo, Jose A.; Hernandez, Anita; Herter, Roberta Joan

2011-01-01

Spanish-English cognates have been used for decades to facilitate the acquisition of English by Latino English learners (ELs). Using the online program, WordSift, in tandem with the online Find-a-Cognate database, teachers can identify important Spanish-English cognates and noncognate words in text. With this information, teachers can plan and…

Rules of Engagement: Incomplete and Complete Pronoun Resolution

ERIC Educational Resources Information Center

Love, Jessica; McKoon, Gail

2011-01-01

Research on shallow processing suggests that readers sometimes encode only a superficial representation of a text and fail to make use of all available information. Greene, McKoon, and Ratcliff (1992) extended this work to pronouns, finding evidence that readers sometimes fail to automatically identify referents even when these are unambiguous. In…

Network Access to Visual Information: A Study of Costs and Uses.

ERIC Educational Resources Information Center

Besser, Howard

This paper summarizes a subset of the findings of a study of digital image distribution that focused on the Museum Educational Site Licensing (MESL) project--the first large-scale multi-institutional project to explore digital delivery of art images and accompanying text/metadata from disparate sources. This Mellon Foundation-sponsored study…

Teaching German-Americana with Assistance from the Web.

ERIC Educational Resources Information Center

Shea, Robert J.; Hoyt, Giles R.

1998-01-01

Argues that the World Wide Web can assist in teaching about German-Americana in German-language instruction, and discusses some basic Web page uses to find and organize literary texts, syllabi, course outlines, images and realia, and information about people, organizations, events, and places. Some of the most useful German-American resources are…

Focus on Adoption.

ERIC Educational Resources Information Center

Child Welfare Information Services, Inc., New York, NY.

This report consists of three charts which present data on adoption patterns in New York City in the year 1976. The report is based on quarterly Child Welfare Information Service (CWIS) reports developed by Dave Fanshel and John Grundy. Each chart is accompanied by a brief explanatory text, and a summary of the findings. The charts present data on…

Medication information leaflets for patients: the further validation of an analytic linguistic framework.

PubMed

Clerehan, Rosemary; Hirsh, Di; Buchbinder, Rachelle

2009-01-01

While clinicians may routinely use patient information leaflets about drug therapy, a poorly conceived leaflet has the potential to do harm. We previously developed a novel approach to analysing leaflets about a rheumatoid arthritis drug, using an analytic approach based on systemic functional linguistics. The aim of the present study was to verify the validity of the linguistic framework by applying it to two further arthritis drug leaflets. The findings confirmed the applicability of the framework and were used to refine it. A new stage or 'move' in the genre was identified. While the function of many of the moves appeared to be 'to instruct' the patient, the instruction was often unclear. The role relationships expressed in the text were critical to the meaning. As with our previous study, judged on their lexical density, the leaflets resembled academic text. The framework can provide specific tools to assess and produce medication information leaflets to support readers in taking medication. Future work could utilize the framework to evaluate information on other treatments and procedures or on healthcare information more widely.

Proactive Support of Internet Browsing when Searching for Relevant Health Information.

PubMed

Rurik, Clas; Zowalla, Richard; Wiesner, Martin; Pfeifer, Daniel

2015-01-01

Many people use the Internet as one of the primary sources of health information. This is due to the high volume and easy access of freely available information regarding diseases, diagnoses and treatments. However, users may find it difficult to retrieve information which is easily understandable and does not require a deep medical background. In this paper, we present a new kind of Web browser add-on, in order to proactively support users when searching for relevant health information. Our add-on not only visualizes the understandability of displayed medical text but also provides further recommendations of Web pages which hold similar content but are potentially easier to comprehend.

[Biomedical information on the internet using search engines. A one-year trial].

PubMed

Corrao, Salvatore; Leone, Francesco; Arnone, Sabrina

2004-01-01

The internet is a communication medium and content distributor that provide information in the general sense but it could be of great utility regarding as the search and retrieval of biomedical information. Search engines represent a great deal to rapidly find information on the net. However, we do not know whether general search engines and meta-search ones are reliable in order to find useful and validated biomedical information. The aim of our study was to verify the reproducibility of a search by key-words (pediatric or evidence) using 9 international search engines and 1 meta-search engine at the baseline and after a one year period. We analysed the first 20 citations as output of each searching. We evaluated the formal quality of Web-sites and their domain extensions. Moreover, we compared the output of each search at the start of this study and after a one year period and we considered as a criterion of reliability the number of Web-sites cited again. We found some interesting results that are reported throughout the text. Our findings point out an extreme dynamicity of the information on the Web and, for this reason, we advice a great caution when someone want to use search and meta-search engines as a tool for searching and retrieve reliable biomedical information. On the other hand, some search and meta-search engines could be very useful as a first step searching for defining better a search and, moreover, for finding institutional Web-sites too. This paper allows to know a more conscious approach to the internet biomedical information universe.

Learning from research on the information behaviour of healthcare professionals: a review of the literature 2004-2008 with a focus on emotion.

PubMed

Fourie, Ina

2009-09-01

A review, focusing on emotion, was conducted of reported studies on the information behaviour of healthcare professionals (2004-2008). Findings were intended to offer guidelines on information services and information literacy training, to note gaps in research and to raise research interest. Databases were searched for literature published from January 2004 to December 2008 and indexed on eric, Library and Information Science Abstracts, medline, PsycINFO, Social Services Abstracts, Sociological Abstracts, Health Source: Nursing/Academic Edition; Library, Information Science & Technology Abstracts; Psychology and Behavioral Sciences Collection; Social Work Abstracts; SocINDEX with Full Text; SPORTDiscus; cinhal; and the ISI Web of Knowledge databases. Key journals were manually scanned and citations followed. Literature was included if reporting on issues concerning emotion. Emotion in information behaviour in healthcare contexts is scantily addressed. This review, however, offers some insight into the difficulty in identifying and expressing information needs; sense making and the need to fill knowledge gaps; uncertainty; personality and coping skills; motivation to seeking information; emotional experiences during information seeking; self-confidence and attitude; emotional factors in the selection of information channels; and seeking information for psychological or emotional reasons. Suggestions following findings, address information literacy programs, information services and research gaps.

Supporting children with disabilities at school: implications for the advocate role in professional practice and education

PubMed Central

Ng, Stella L.; Lingard, Lorelei; Hibbert, Kathryn; Regan, Sandra; Phelan, Shanon; Stooke, Rosamund; Meston, Christine; Schryer, Catherine; Manamperi, Madhushani; Friesen, Farah

2015-01-01

Abstract Purpose: School settings are a common practice context for rehabilitation professionals; health advocacy is a common and challenging practice role for professionals in this context. This study explored how pediatric practitioners advocate for children with disabilities at school. Specifically, we examined everyday advocacy in the context of school-based support for children with disabilities. Method: Our theoretical framework and methodological approach were informed by institutional ethnography, which maps and makes visible hidden social coordinators of work processes with a view to improving processes and outcomes. We included families, educators, and health/rehabilitation practitioners from Ontario. Of the 37 consented informants, 27 were interviewed and 15 observed. Documents and texts were collected from the micro-level (e.g. clinician reports) and the macro-level (e.g. policies). Results: Pediatric practitioners' advocacy work included two main work processes: spotlighting invisible disabilities and orienteering the special education terrain. Practitioners advocated indirectly, by proxy, with common proxies being documents and parents. Unintended consequences of advocacy by proxy included conflict and inefficiency, which were often unknown to the practitioner. Conclusions: The findings of this study provide practice-based knowledge about advocacy for children with disabilities, which may be used to inform further development of competency frameworks and continuing education for pediatric practitioners. The findings also show how everyday practices are influenced by policies and social discourses and how rehabilitation professionals may enact change.Implications for RehabilitationRehabilitation professionals frequently perform advocacy work. They may find it beneficial to perform advocacy work that is informed by overarching professional and ethical guidelines, and a nuanced understanding of local processes and structures.Competency frameworks and education for pediatric rehabilitation professionals may be improved by: encouraging professionals to consider how their practices, including their written documents, may affect parental burden, (mis)interpretation by document recipients, and potential unintended consequences.Policies and texts, e.g. privacy legislation and the Diagnostic and Statistical Manual (DSM), influence rehabilitation professionals' actions and interactions when supporting children with disabilities at school.An awareness of the influence of policies and texts may enable practitioners to work more effectively within current systems when supporting individuals with disabilities. PMID:25738906

A preliminary approach to creating an overview of lactoferrin multi-functionality utilizing a text mining method.

PubMed

Shimazaki, Kei-ichi; Kushida, Tatsuya

2010-06-01

Lactoferrin is a multi-functional metal-binding glycoprotein that exhibits many biological functions of interest to many researchers from the fields of clinical medicine, dentistry, pharmacology, veterinary medicine, nutrition and milk science. To date, a number of academic reports concerning the biological activities of lactoferrin have been published and are easily accessible through public data repositories. However, as the literature is expanding daily, this presents challenges in understanding the larger picture of lactoferrin function and mechanisms. In order to overcome the "analysis paralysis" associated with lactoferrin information, we attempted to apply a text mining method to the accumulated lactoferrin literature. To this end, we used the information extraction system GENPAC (provided by Nalapro Technologies Inc., Tokyo). This information extraction system uses natural language processing and text mining technology. This system analyzes the sentences and titles from abstracts stored in the PubMed database, and can automatically extract binary relations that consist of interactions between genes/proteins, chemicals and diseases/functions. We expect that such information visualization analysis will be useful in determining novel relationships among a multitude of lactoferrin functions and mechanisms. We have demonstrated the utilization of this method to find pathways of lactoferrin participation in neovascularization, Helicobacter pylori attack on gastric mucosa, atopic dermatitis and lipid metabolism.

Frequency and Content Analysis of CFS in Medical Text Books

PubMed Central

Jason, Leonard A.; Paavola, Erin; Porter, Nicole; Morello, Morgan L.

2013-01-01

Textbooks 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 textbooks from various medical specialties, we found that 48 (40.3%) of the medical textbooks included information on CFS. However, among the 129,527 total pages within these medical textbooks, the CFS content was presented on only 116.3 (.090%) pages. Other illnesses that are less prevalent, such as Multiple Sclerosis and Lyme disease, were more frequently represented in medical textbooks. These findings suggest that the topic of CFS is under-reported in published medical textbooks. PMID:21128580

Comparison of Three Information Sources for Smoking Information in Electronic Health Records

PubMed Central

Wang, Liwei; Ruan, Xiaoyang; Yang, Ping; Liu, Hongfang

2016-01-01

OBJECTIVE The primary aim was to compare independent and joint performance of retrieving smoking status through different sources, including narrative text processed by natural language processing (NLP), patient-provided information (PPI), and diagnosis codes (ie, International Classification of Diseases, Ninth Revision [ICD-9]). We also compared the performance of retrieving smoking strength information (ie, heavy/light smoker) from narrative text and PPI. MATERIALS AND METHODS Our study leveraged an existing lung cancer cohort for smoking status, amount, and strength information, which was manually chart-reviewed. On the NLP side, smoking-related electronic medical record (EMR) data were retrieved first. A pattern-based smoking information extraction module was then implemented to extract smoking-related information. After that, heuristic rules were used to obtain smoking status-related information. Smoking information was also obtained from structured data sources based on diagnosis codes and PPI. Sensitivity, specificity, and accuracy were measured using patients with coverage (ie, the proportion of patients whose smoking status/strength can be effectively determined). RESULTS NLP alone has the best overall performance for smoking status extraction (patient coverage: 0.88; sensitivity: 0.97; specificity: 0.70; accuracy: 0.88); combining PPI with NLP further improved patient coverage to 0.96. ICD-9 does not provide additional improvement to NLP and its combination with PPI. For smoking strength, combining NLP with PPI has slight improvement over NLP alone. CONCLUSION These findings suggest that narrative text could serve as a more reliable and comprehensive source for obtaining smoking-related information than structured data sources. PPI, the readily available structured data, could be used as a complementary source for more comprehensive patient coverage. PMID:27980387

Contesting nonfiction: Fourth graders making sense of words and images in science information book discussions

NASA Astrophysics Data System (ADS)

Belfatti, Monica A.

Recently developed common core standards echo calls by educators for ensuring that upper elementary students become proficient readers of informational texts. Informational texts have been theorized as causing difficulty for students because they contain linguistic and visual features different from more familiar narrative genres (Lemke, 2004). It has been argued that learning to read informational texts, particularly those with science subject matter, requires making sense of words, images, and the relationships among them (Pappas, 2006). Yet, conspicuously absent in the research are empirical studies documenting ways students make use of textual resources to build textual and conceptual understandings during classroom literacy instruction. This 10-month practitioner research study was designed to investigate the ways a group of ethnically and linguistically diverse fourth graders in one metropolitan school made sense of science information books during dialogically organized literature discussions. In this nontraditional instructional context, I wondered whether and how young students might make use of science informational text features, both words and images, in the midst of collaborative textual and conceptual inquiry. Drawing on methods of constructivist grounded theory and classroom discourse analysis, I analyzed student and teacher talk in 25 discussions of earth and life science books. Digital voice recordings and transcriptions served as the main data sources for this study. I found that, without teacher prompts or mandates to do so, fourth graders raised a wide range of textual and conceptual inquiries about words, images, scientific figures, and phenomena. In addition, my analysis yielded a typology of ways students constructed relationships between words and images within and across page openings of the information books read for their sense-making endeavors. The diversity of constructed word-image relationships aided students in raising, exploring, and contesting textual and conceptual ideas. Moreover, through their joint inquiries, students marshaled and evaluated a rich array of resources. Students' sense-making of information books was not contained by the words and images alone; it involved a situated, complex process of making sense of multiple texts, discourses, and epistemologies. These findings suggest educators, theorists, and policy makers reconsider acontextual, linear, hierarchical models for developing elementary students as sense-makers of nonfiction.

Domain-independent information extraction in unstructured text

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

Irwin, N.H.

Extracting information from unstructured text has become an important research area in recent years due to the large amount of text now electronically available. This status report describes the findings and work done during the second year of a two-year Laboratory Directed Research and Development Project. Building on the first-year`s work of identifying important entities, this report details techniques used to group words into semantic categories and to output templates containing selective document content. Using word profiles and category clustering derived during a training run, the time-consuming knowledge-building task can be avoided. Though the output still lacks in completeness whenmore » compared to systems with domain-specific knowledge bases, the results do look promising. The two approaches are compatible and could complement each other within the same system. Domain-independent approaches retain appeal as a system that adapts and learns will soon outpace a system with any amount of a priori knowledge.« less

Unapparent Information Revelation: Text Mining for Counterterrorism

NASA Astrophysics Data System (ADS)

Srihari, Rohini K.

Unapparent information revelation (UIR) is a special case of text mining that focuses on detecting possible links between concepts across multiple text documents by generating an evidence trail explaining the connection. A traditional search involving, for example, two or more person names will attempt to find documents mentioning both these individuals. This research focuses on a different interpretation of such a query: what is the best evidence trail across documents that explains a connection between these individuals? For example, all may be good golfers. A generalization of this task involves query terms representing general concepts (e.g. indictment, foreign policy). Previous approaches to this problem have focused on graph mining involving hyperlinked documents, and link analysis exploiting named entities. A new robust framework is presented, based on (i) generating concept chain graphs, a hybrid content representation, (ii) performing graph matching to select candidate subgraphs, and (iii) subsequently using graphical models to validate hypotheses using ranked evidence trails. We adapt the DUC data set for cross-document summarization to evaluate evidence trails generated by this approach

Medical Student and Tutor Perceptions of Video Versus Text in an Interactive Online Virtual Patient for Problem-Based Learning: A Pilot Study

PubMed Central

Ellaway, Rachel H; Round, Jonathan; Vaughan, Sophie; Poulton, Terry; Zary, Nabil

2015-01-01

Background The impact of the use of video resources in primarily paper-based problem-based learning (PBL) settings has been widely explored. Although it can provide many benefits, the use of video can also hamper the critical thinking of learners in contexts where learners are developing clinical reasoning. However, the use of video has not been explored in the context of interactive virtual patients for PBL. Objective A pilot study was conducted to explore how undergraduate medical students interpreted and evaluated information from video- and text-based materials presented in the context of a branched interactive online virtual patient designed for PBL. The goal was to inform the development and use of virtual patients for PBL and to inform future research in this area. Methods An existing virtual patient for PBL was adapted for use in video and provided as an intervention to students in the transition year of the undergraduate medicine course at St George’s, University of London. Survey instruments were used to capture student and PBL tutor experiences and perceptions of the intervention, and a formative review meeting was run with PBL tutors. Descriptive statistics were generated for the structured responses and a thematic analysis was used to identify emergent themes in the unstructured responses. Results Analysis of student responses (n=119) and tutor comments (n=18) yielded 8 distinct themes relating to the perceived educational efficacy of information presented in video and text formats in a PBL context. Although some students found some characteristics of the videos beneficial, when asked to express a preference for video or text the majority of those that responded to the question (65%, 65/100) expressed a preference for text. Student responses indicated that the use of video slowed the pace of PBL and impeded students’ ability to review and critically appraise the presented information. Conclusions Our findings suggest that text was perceived to be a better source of information than video in virtual patients for PBL. More specifically, the use of video was perceived as beneficial for providing details, visual information, and context where text was unable to do so. However, learner acceptance of text was higher in the context of PBL, particularly when targeting clinical reasoning skills. This pilot study has provided the foundation for further research into the effectiveness of different virtual patient designs for PBL. PMID:26088435

Mobile text messaging for health: a systematic review of reviews.

PubMed

Hall, Amanda K; Cole-Lewis, Heather; Bernhardt, Jay M

2015-03-18

The aim of this systematic review of reviews is to identify mobile text-messaging interventions designed for health improvement and behavior change and to derive recommendations for practice. We have compiled and reviewed existing systematic research reviews and meta-analyses to organize and summarize the text-messaging intervention evidence base, identify best-practice recommendations based on findings from multiple reviews, and explore implications for future research. Our review found that the majority of published text-messaging interventions were effective when addressing diabetes self-management, weight loss, physical activity, smoking cessation, and medication adherence for antiretroviral therapy. However, we found limited evidence across the population of studies and reviews to inform recommended intervention characteristics. Although strong evidence supports the value of integrating text-messaging interventions into public health practice, additional research is needed to establish longer-term intervention effects, identify recommended intervention characteristics, and explore issues of cost-effectiveness.

Mobile Text Messaging for Health: A Systematic Review of Reviews

PubMed Central

Hall, Amanda K.; Cole-Lewis, Heather; Bernhardt, Jay M.

2015-01-01

The aim of this systematic review of reviews is to identify mobile text-messaging interventions designed for health improvement and behavior change and to derive recommendations for practice. We have compiled and reviewed existing systematic research reviews and meta-analyses to organize and summarize the text-messaging intervention evidence base, identify best-practice recommendations based on findings from multiple reviews, and explore implications for future research. Our review found that the majority of published text-messaging interventions were effective when addressing diabetes self-management, weight loss, physical activity, smoking cessation, and medication adherence for antiretroviral therapy. However, we found limited evidence across the population of studies and reviews to inform recommended intervention characteristics. Although strong evidence supports the value of integrating text-messaging interventions into public health practice, additional research is needed to establish longer-term intervention effects, identify recommended intervention characteristics, and explore issues of cost-effectiveness. PMID:25785892

A further look at postview effects in reading: An eye-movements study of influences from the left of fixation.

PubMed

Jordan, Timothy R; McGowan, Victoria A; Kurtev, Stoyan; Paterson, Kevin B

2016-02-01

When reading from left to right, useful information acquired during each fixational pause is widely assumed to extend 14 to 15 characters to the right of fixation but just 3 to 4 characters to the left, and certainly no further than the beginning of the fixated word. However, this leftward extent is strikingly small and seems inconsistent with other aspects of reading performance and with the general horizontal symmetry of visual input. Accordingly, 2 experiments were conducted to examine the influence of text located to the left of fixation during each fixational pause using an eye-tracking paradigm in which invisible boundaries were created in sentence displays. Each boundary corresponded to the leftmost edge of each word so that, as each sentence was read, the normal letter content of text to the left of each fixated word was corrupted by letter replacements that were either visually similar or visually dissimilar to the originals. The proximity of corrupted text to the left of fixation was maintained at 1, 2, 3, or 4 words from the left boundary of each fixated word. In both experiments, relative to completely normal text, reading performance was impaired when each type of letter replacement was up to 2 words to the left of fixated words but letter replacements further from fixation produced no impairment. These findings suggest that key aspects of reading are influenced by information acquired during each fixational pause from much further leftward than is usually assumed. Some of the implications of these findings for reading are discussed. (c) 2016 APA, all rights reserved).

Discovering Astronomy: An Astro 101 e-book

NASA Astrophysics Data System (ADS)

Shawl, Stephen J.; Byrd, Gene; Deustua, Susana E.; LoPresto, Michael C.

2016-01-01

Discovering Astronomy, now available in its 6th edition as an eText, has many advantages and features for your students. We have partnered with etextink.com and WebAssign.net to produce an affordable set of cost-saving options for your students. Also available is the Discovering Astronomy Activity Manual, which provides students with an active-learning experience.Our etext is device independent and thus accessible through any web browser. Americans with Disabilities Act compatibility provides access for all students. Hotlinks to outside sites provide further information for interested students. Lecture demonstration videos of important concepts, made specifically for this new edition, are embedded within the text as appropriate. Students can highlight text, take notes, and bookmark locations within the text. Important terms are linked to the glossary. Search capabilities allow students to easily find what they want.Instructors can interact with their students directly through the etext once the class roster has been provided. For example, instructors can embed assignments into their students' etext and add their own notes and updates, which are immediately visible to their students.Updates can be quickly made by us as new findings become available. For example, updates from New Horizons were added at the time of the closest approach to Pluto, and an update on the recent announcement of current water on Mars was added the day of the announcement.We will present results of our own experience with college and high school students' use of Discovering Astronomy in online courses.Details of the book, a sample chapter, and other information are available at discoveringastronomy.weebly.com.

Informing Active Play and Screen Time Behaviour Change Interventions for Low Socioeconomic Position Mothers of Young Children: What Do Mothers Want?

PubMed Central

Campbell, Karen J.; Hesketh, Kylie D.

2016-01-01

Introduction. This study investigated views of mothers from disadvantaged urban and regional areas (i.e., beyond major capital cities) as potential end users of child active play and screen time behaviour change interventions, with a focus on text messaging and web-based delivery platforms. Methods. Thirty-two mothers (22 urban; 10 regional) were interviewed. Purpose-designed questions covered topics regarding mothers' preferences for accessing and receiving information related to parenting and child active play and screen time. Data from transcribed interviews were analysed to identify responses and key themes. Results. Mothers reported frequently accessing parenting- and child-related information online. Regional mothers reported seeking information by talking with other people less frequently than urban mothers and seemed to have a stronger preference for receiving information online. There were few differences between responses from low and high educated mothers. The majority of mothers reported that they would be happy to receive text messages containing information about active play and screen time and that they would find a dedicated website with this information useful. Conclusions. Mothers in this study held favourable views on the potential of receiving information via new communication technologies. Future interventions targeting socioeconomically disadvantaged mothers may benefit from delivering intervention messages via these technologies. PMID:28053979

Why we need to look beyond the glass transition temperature to characterize the dynamics of thin supported polymer films.

PubMed

Zhang, Wengang; Douglas, Jack F; Starr, Francis W

2018-05-29

There is significant variation in the reported magnitude and even the sign of [Formula: see text] shifts in thin polymer films with nominally the same chemistry, film thickness, and supporting substrate. The implicit assumption is that methods used to estimate [Formula: see text] in bulk materials are relevant for inferring dynamic changes in thin films. To test the validity of this assumption, we perform molecular simulations of a coarse-grained polymer melt supported on an attractive substrate. As observed in many experiments, we find that [Formula: see text] based on thermodynamic criteria (temperature dependence of film height or enthalpy) decreases with decreasing film thickness, regardless of the polymer-substrate interaction strength ε. In contrast, we find that [Formula: see text] based on a dynamic criterion (relaxation of the dynamic structure factor) also decreases with decreasing thickness when ε is relatively weak, but [Formula: see text] increases when ε exceeds the polymer-polymer interaction strength. We show that these qualitatively different trends in [Formula: see text] reflect differing sensitivities to the mobility gradient across the film. Apparently, the slowly relaxing polymer segments in the substrate region make the largest contribution to the shift of [Formula: see text] in the dynamic measurement, but this part of the film contributes less to the thermodynamic estimate of [Formula: see text] Our results emphasize the limitations of using [Formula: see text] to infer changes in the dynamics of polymer thin films. However, we show that the thermodynamic and dynamic estimates of [Formula: see text] can be combined to predict local changes in [Formula: see text] near the substrate, providing a simple method to infer information about the mobility gradient.

Influence of Text and Graphics in Increasing Understanding of Foreign News Context.

ERIC Educational Resources Information Center

Griffin, Jeffrey L.; Stevenson, Robert L.

1992-01-01

Uses a "New York Times" story about a bloody international conflict to measure (with college students) the effect of adding background and context information within the story itself and in a separate graphic on reader understanding of the background and context of the dramatic event. Finds that both techniques are highly effective. (NKA)

The effective use of search engines on the Internet.

PubMed

Younger, P

This article explains how nurses can get the most out of researching information on the internet using the search engine Google. It also explores some of the other types of search engines that are available. Internet users are shown how to find text, images and reports and search within sites. Copyright issues are also discussed.

The Power of Informal Talk

ERIC Educational Resources Information Center

Blomberg, Grace

2011-01-01

As a classroom teacher for the past eight years, the author finds it important to read professional texts, both dated and current, to learn from what has worked in the past and of new, innovative practices to reinvigorate her lesson plans. This year, she read an older yet pertinent study by Betty Hart and Todd R. Risley called "Meaningful…

Emergent Understandings: Multilingual Fourth Grade Students Generating Close Readings and Multimodal Responses to Global and Informational Texts

ERIC Educational Resources Information Center

Hasty, Michelle Medlin; Fain, Jeanne Gilliam

2014-01-01

In this paper, the authors present findings from a yearlong ethnographic research study that examines the development of critical literacy within two urban fourth grade classrooms in Tennessee. This study examines how young second language learners in English-dominant classrooms learn to read critically, write, and construct multimodal…

Optimising web site designs for people with learning disabilities

PubMed Central

Williams, Peter; Hennig, Christian

2015-01-01

Much relevant internet-mediated information is inaccessible to people with learning disabilities because of difficulties in navigating the web. This paper reports on the methods undertaken to determine how information can be optimally presented for this cohort. Qualitative work is outlined where attributes relating to site layout affecting usability were elicited. A study comparing web sites of different design layouts exhibiting these attributes is discussed, with the emphasis on methodology. Eight interfaces were compared using various combinations of menu position (vertical or horizontal), text size and the absence or presence of images to determine which attributes of a site have the greatest performance impact. Study participants were also asked for their preferences, via a ‘smiley-face’ rating scale and simple interviews. ‘Acquiescence bias’ was minimised by avoiding polar (‘yes/no’) interrogatives, achieved by asking participants to compare layouts (such as horizontal versus vertical menu), with reasons coaxed from those able to articulate them. Preferred designs were for large text and images. This was the reverse of those facilitating fastest retrieval times, a discrepancy due to preferences being judged on aesthetic considerations. Design recommendations that reconcile preference and performance findings are offered. These include using a horizontal menu, juxtaposing images and text, and reducing text from sentences to phrases, thus facilitating preferred large text without increasing task times. PMID:26097431

Toward a Computer Vision-based Wayfinding Aid for Blind Persons to Access Unfamiliar Indoor Environments.

PubMed

Tian, Yingli; Yang, Xiaodong; Yi, Chucai; Arditi, Aries

2013-04-01

Independent travel is a well known challenge for blind and visually impaired persons. In this paper, we propose a proof-of-concept computer vision-based wayfinding aid for blind people to independently access unfamiliar indoor environments. In order to find different rooms (e.g. an office, a lab, or a bathroom) and other building amenities (e.g. an exit or an elevator), we incorporate object detection with text recognition. First we develop a robust and efficient algorithm to detect doors, elevators, and cabinets based on their general geometric shape, by combining edges and corners. The algorithm is general enough to handle large intra-class variations of objects with different appearances among different indoor environments, as well as small inter-class differences between different objects such as doors and door-like cabinets. Next, in order to distinguish intra-class objects (e.g. an office door from a bathroom door), we extract and recognize text information associated with the detected objects. For text recognition, we first extract text regions from signs with multiple colors and possibly complex backgrounds, and then apply character localization and topological analysis to filter out background interference. The extracted text is recognized using off-the-shelf optical character recognition (OCR) software products. The object type, orientation, location, and text information are presented to the blind traveler as speech.

Toward a Computer Vision-based Wayfinding Aid for Blind Persons to Access Unfamiliar Indoor Environments

PubMed Central

Tian, YingLi; Yang, Xiaodong; Yi, Chucai; Arditi, Aries

2012-01-01

Independent travel is a well known challenge for blind and visually impaired persons. In this paper, we propose a proof-of-concept computer vision-based wayfinding aid for blind people to independently access unfamiliar indoor environments. In order to find different rooms (e.g. an office, a lab, or a bathroom) and other building amenities (e.g. an exit or an elevator), we incorporate object detection with text recognition. First we develop a robust and efficient algorithm to detect doors, elevators, and cabinets based on their general geometric shape, by combining edges and corners. The algorithm is general enough to handle large intra-class variations of objects with different appearances among different indoor environments, as well as small inter-class differences between different objects such as doors and door-like cabinets. Next, in order to distinguish intra-class objects (e.g. an office door from a bathroom door), we extract and recognize text information associated with the detected objects. For text recognition, we first extract text regions from signs with multiple colors and possibly complex backgrounds, and then apply character localization and topological analysis to filter out background interference. The extracted text is recognized using off-the-shelf optical character recognition (OCR) software products. The object type, orientation, location, and text information are presented to the blind traveler as speech. PMID:23630409

Meta-Generalis: A Novel Method for Structuring Information from Radiology Reports

PubMed Central

Barbosa, Flavio; Traina, Agma Jucci

2016-01-01

Summary Background A structured report for imaging exams aims at increasing the precision in information retrieval and communication between physicians. However, it is more concise than free text and may limit specialists’ descriptions of important findings not covered by pre-defined structures. A computational ontological structure derived from free texts designed by specialists may be a solution for this problem. Therefore, the goal of our study was to develop a methodology for structuring information in radiology reports covering specifications required for the Brazilian Portuguese language, including the terminology to be used. Methods We gathered 1,701 radiological reports of magnetic resonance imaging (MRI) studies of the lumbosacral spine from three different institutions. Techniques of text mining and ontological conceptualization of lexical units extracted were used to structure information. Ten radiologists, specialists in lumbosacral MRI, evaluated the textual superstructure and terminology extracted using an electronic questionnaire. Results The established methodology consists of six steps: 1) collection of radiology reports of a specific MRI examination; 2) textual decomposition; 3) normalization of lexical units; 4) identification of textual superstructures; 5) conceptualization of candidate-terms; and 6) evaluation of superstructures and extracted terminology by experts using an electronic questionnaire. Three different textual superstructures were identified, with terminological variations in the names of their textual categories. The number of candidate-terms conceptualized was 4,183, yielding 727 concepts. There were a total of 13,963 relationships between candidate-terms and concepts and 789 relationships among concepts. Conclusions The proposed methodology allowed structuring information in a more intuitive and practical way. Indications of three textual superstructures, extraction of lexicon units and the normalization and ontologically conceptualization were achieved while maintaining references to their respective categories and free text radiology reports. PMID:27580980

Meta-generalis: A novel method for structuring information from radiology reports.

PubMed

Barbosa, Flavio; Traina, Agma Jucci; Muglia, Valdair Francisco

2016-08-24

A structured report for imaging exams aims at increasing the precision in information retrieval and communication between physicians. However, it is more concise than free text and may limit specialists' descriptions of important findings not covered by pre-defined structures. A computational ontological structure derived from free texts designed by specialists may be a solution for this problem. Therefore, the goal of our study was to develop a methodology for structuring information in radiology reports covering specifications required for the Brazilian Portuguese language, including the terminology to be used. We gathered 1,701 radiological reports of magnetic resonance imaging (MRI) studies of the lumbosacral spine from three different institutions. Techniques of text mining and ontological conceptualization of lexical units extracted were used to structure information. Ten radiologists, specialists in lumbosacral MRI, evaluated the textual superstructure and terminology extracted using an electronic questionnaire. The established methodology consists of six steps: 1) collection of radiology reports of a specific MRI examination; 2) textual decomposition; 3) normalization of lexical units; 4) identification of textual superstructures; 5) conceptualization of candidate-terms; and 6) evaluation of superstructures and extracted terminology by experts using an electronic questionnaire. Three different textual superstructures were identified, with terminological variations in the names of their textual categories. The number of candidate-terms conceptualized was 4,183, yielding 727 concepts. There were a total of 13,963 relationships between candidate-terms and concepts and 789 relationships among concepts. The proposed methodology allowed structuring information in a more intuitive and practical way. Indications of three textual superstructures, extraction of lexicon units and the normalization and ontologically conceptualization were achieved while maintaining references to their respective categories and free text radiology reports.

Interventions to assist health consumers to find reliable online health information: a comprehensive review.

PubMed

Lee, Kenneth; Hoti, Kreshnik; Hughes, Jeffery D; Emmerton, Lynne M

2014-01-01

Health information on the Internet is ubiquitous, and its use by health consumers prevalent. Finding and understanding relevant online health information, and determining content reliability, pose real challenges for many health consumers. To identify the types of interventions that have been implemented to assist health consumers to find reliable online health information, and where possible, describe and compare the types of outcomes studied. PubMed, PsycINFO, CINAHL Plus and Cochrane Library databases; WorldCat and Scirus 'gray literature' search engines; and manual review of reference lists of selected publications. Publications were selected by firstly screening title, abstract, and then full text. Seven publications met the inclusion criteria, and were summarized in a data extraction form. The form incorporated the PICOS (Population Intervention Comparators Outcomes and Study Design) Model. Two eligible gray literature papers were also reported. Relevant data from included studies were tabulated to enable descriptive comparison. A brief critique of each study was included in the tables. This review was unable to follow systematic review methods due to the paucity of research and humanistic interventions reported. While extensive, the gray literature search may have had limited reach in some countries. The paucity of research on this topic limits conclusions that may be drawn. The few eligible studies predominantly adopted a didactic approach to assisting health consumers, whereby consumers were either taught how to find credible websites, or how to use the Internet. Common types of outcomes studied include knowledge and skills pertaining to Internet use and searching for reliable health information. These outcomes were predominantly self-assessed by participants. There is potential for further research to explore other avenues for assisting health consumers to find reliable online health information, and to assess outcomes via objective measures.

Refining the Use of Linkage Disequilibrium as a Robust Signature of Selective Sweeps.

PubMed

Jacobs, Guy S; Sluckin, Tim J; Kivisild, Toomas

2016-08-01

During a selective sweep, characteristic patterns of linkage disequilibrium can arise in the genomic region surrounding a selected locus. These have been used to infer past selective sweeps. However, the recombination rate is known to vary substantially along the genome for many species. We here investigate the effectiveness of current (Kelly's [Formula: see text] and [Formula: see text]) and novel statistics at inferring hard selective sweeps based on linkage disequilibrium distortions under different conditions, including a human-realistic demographic model and recombination rate variation. When the recombination rate is constant, Kelly's [Formula: see text] offers high power, but is outperformed by a novel statistic that we test, which we call [Formula: see text] We also find this statistic to be effective at detecting sweeps from standing variation. When recombination rate fluctuations are included, there is a considerable reduction in power for all linkage disequilibrium-based statistics. However, this can largely be reversed by appropriately controlling for expected linkage disequilibrium using a genetic map. To further test these different methods, we perform selection scans on well-characterized HapMap data, finding that all three statistics-[Formula: see text] Kelly's [Formula: see text] and [Formula: see text]-are able to replicate signals at regions previously identified as selection candidates based on population differentiation or the site frequency spectrum. While [Formula: see text] replicates most candidates when recombination map data are not available, the [Formula: see text] and [Formula: see text] statistics are more successful when recombination rate variation is controlled for. Given both this and their higher power in simulations of selective sweeps, these statistics are preferred when information on local recombination rate variation is available. Copyright © 2016 by the Genetics Society of America.

Representation of Tinnitus in the US Newspaper Media and in Facebook Pages: Cross-Sectional Analysis of Secondary Data

PubMed Central

Ratinaud, Pierre; Andersson, Gerhard

2018-01-01

Background When people with health conditions begin to manage their health issues, one important issue that emerges is the question as to what exactly do they do with the information that they have obtained through various sources (eg, news media, social media, health professionals, friends, and family). The information they gather helps form their opinions and, to some degree, influences their attitudes toward managing their condition. Objective This study aimed to understand how tinnitus is represented in the US newspaper media and in Facebook pages (ie, social media) using text pattern analysis. Methods This was a cross-sectional study based upon secondary analyses of publicly available data. The 2 datasets (ie, text corpuses) analyzed in this study were generated from US newspaper media during 1980-2017 (downloaded from the database US Major Dailies by ProQuest) and Facebook pages during 2010-2016. The text corpuses were analyzed using the Iramuteq software using cluster analysis and chi-square tests. Results The newspaper dataset had 432 articles. The cluster analysis resulted in 5 clusters, which were named as follows: (1) brain stimulation (26.2%), (2) symptoms (13.5%), (3) coping (19.8%), (4) social support (24.2%), and (5) treatment innovation (16.4%). A time series analysis of clusters indicated a change in the pattern of information presented in newspaper media during 1980-2017 (eg, more emphasis on cluster 5, focusing on treatment inventions). The Facebook dataset had 1569 texts. The cluster analysis resulted in 7 clusters, which were named as: (1) diagnosis (21.9%), (2) cause (4.1%), (3) research and development (13.6%), (4) social support (18.8%), (5) challenges (11.1%), (6) symptoms (21.4%), and (7) coping (9.2%). A time series analysis of clusters indicated no change in information presented in Facebook pages on tinnitus during 2011-2016. Conclusions The study highlights the specific aspects about tinnitus that the US newspaper media and Facebook pages focus on, as well as how these aspects change over time. These findings can help health care providers better understand the presuppositions that tinnitus patients may have. More importantly, the findings can help public health experts and health communication experts in tailoring health information about tinnitus to promote self-management, as well as assisting in appropriate choices of treatment for those living with tinnitus. PMID:29739734

Extracting salient sublexical units from written texts: “Emophon,” a corpus-based approach to phonological iconicity

PubMed Central

Aryani, Arash; Jacobs, Arthur M.; Conrad, Markus

2013-01-01

A growing body of literature in psychology, linguistics, and the neurosciences has paid increasing attention to the understanding of the relationships between phonological representations of words and their meaning: a phenomenon also known as phonological iconicity. In this article, we investigate how a text's intended emotional meaning, particularly in literature and poetry, may be reflected at the level of sublexical phonological salience and the use of foregrounded elements. To extract such elements from a given text, we developed a probabilistic model to predict the exceeding of a confidence interval for specific sublexical units concerning their frequency of occurrence within a given text contrasted with a reference linguistic corpus for the German language. Implementing this model in a computational application, we provide a text analysis tool which automatically delivers information about sublexical phonological salience allowing researchers, inter alia, to investigate effects of the sublexical emotional tone of texts based on current findings on phonological iconicity. PMID:24101907

A Study on Environmental Research Trends Using Text-Mining Method - Focus on Spatial information and ICT -

NASA Astrophysics Data System (ADS)

Lee, M. J.; Oh, K. Y.; Joung-ho, L.

2016-12-01

Recently there are many research about analysing the interaction between entities by text-mining analysis in various fields. In this paper, we aimed to quantitatively analyse research-trends in the area of environmental research relating either spatial information or ICT (Information and Communications Technology) by Text-mining analysis. To do this, we applied low-dimensional embedding method, clustering analysis, and association rule to find meaningful associative patterns of key words frequently appeared in the articles. As the authors suppose that KCI (Korea Citation Index) articles reflect academic demands, total 1228 KCI articles that have been published from 1996 to 2015 were reviewed and analysed by Text-mining method. First, we derived KCI articles from NDSL(National Discovery for Science Leaders) site. And then we pre-processed their key-words elected from abstract and then classified those in separable sectors. We investigated the appearance rates and association rule of key-words for articles in the two fields: spatial-information and ICT. In order to detect historic trends, analysis was conducted separately for the four periods: 1996-2000, 2001-2005, 2006-2010, 2011-2015. These analysis were conducted with the usage of R-software. As a result, we conformed that environmental research relating spatial information mainly focused upon such fields as `GIS(35%)', `Remote-Sensing(25%)', `environmental theme map(15.7%)'. Next, `ICT technology(23.6%)', `ICT service(5.4%)', `mobile(24%)', `big data(10%)', `AI(7%)' are primarily emerging from environmental research relating ICT. Thus, from the analysis results, this paper asserts that research trends and academic progresses are well-structured to review recent spatial information and ICT technology and the outcomes of the analysis can be an adequate guidelines to establish environment policies and strategies. KEY WORDS: Big data, Test-mining, Environmental research, Spatial-information, ICT Acknowledgements: The authors appreciate the support that this study has received from `Building application frame of environmental issues, to respond to the latest ICT trends'.

Memoirs of an Aeronautical Engineer: Flight Tests at Ames Research Center: 1940-1970

NASA Technical Reports Server (NTRS)

Anderson, Seth B.

2002-01-01

Seth worked over a period of several years to prepare this monograph-collecting information, drafting the text, and finding and selecting the historic photographs. He describes the beginnings of flight research as he knew it at Ames Research Center, recalls numerous World War II programs, relates his experiences with powered-lift aircraft, and concludes with his impressions of two international flight research efforts. His comprehensive collection of large-format photographs of the airplanes and people involved in the various flight activities related in the text constitutes a compelling part of his work.

Investigation of complexity of the instruction manuals for electrical coffeepots.

PubMed

Fernandes, C A; Teixeira, J M; Merino, E A D

2014-01-01

Electrical coffeepots are commonly used in professional and residential environments. Their instruction manuals are related to issues that involve the user's safety and ability to operate the machine correctly. To provide the best product performance to the user, one must indicate or inform the correct usability, to turn the interaction easier. This research proposes to investigate the instruction manuals of the electrical coffeepots. Four coffee pot instruction manuals were analyzed in relation to the complexity through the heuristic evaluation. For that, eight experts of the Graphic Design were chosen to answer twenty four questions with the aim of analyzing: images; texts; layout development; information and warnings. This study shows the results of the 04 (four) items analyzed: a) images; b) texts; c) layout development; d) information and warnings, together with the suggestions of improvements for each manual. It is believed that the methodological procedures for the application of the heuristic evaluation have facilitated the diagnosis of fragilities and barriers that the users find during the interaction with electrical coffeepot manuals.

Describe yourself to improve your autobiographical memory: A study in Alzheimer's disease.

PubMed

El Haj, Mohamad; Antoine, Pascal

2017-03-01

This study investigated whether retrieval of information related to conceptual self (i.e., self-images that encompass general factual and evaluative knowledge of one's identity) would improve autobiographical memory in Alzheimer's disease (AD). Participants with AD and controls were asked to retrieve autobiographical memories after providing statements to the question "Who am I? and after a control condition consisting of reading a general text. Autobiographical recall was analyzed with respect to specificity (general vs specific event), context recall (information describing the "when, where, and who" as well as affective states), and reliving (the subjective experience of recall). AD participants showed higher specificity, context recall and reliving after the "Who am I?" statements than after the text reading, and controls showed higher context recall after the former than after the latter condition. These findings highlight the relationship between self and autobiographical memory in AD and demonstrate how retrieval of information related to conceptual self may influence autobiographical memory in the disease. Copyright © 2017 Elsevier Ltd. All rights reserved.

An Empirical Study of a District Wide K-2 Performance Assessment Program: Teacher Practices, Information Gained, and Use of Assessment Results.

ERIC Educational Resources Information Center

Lanting, Ashley

This study used a qualitative research methodology to examine how four primary teachers used a district literacy performance assessment. Data were collected through observations, interviews, and documents. Grounded theory and NUD*IST software were used for text analysis and theory building. Findings show that a theory-grounded teacher-empowered…

"March of the Penguins": Building Knowledge in a Kindergarten Classroom

ERIC Educational Resources Information Center

Fingeret, Lauren

2008-01-01

In this study, the author followed a kindergarten class that watched the film and used the book "March of the Penguins" in order to find out how much information the students learned from the film and how the teacher integrated the texts into her unit on penguins in order to maximize their impact. The students were given an oral assessment prior…

The Legibility of Typefaces for Readers with Low Vision: A Research Review

ERIC Educational Resources Information Center

Russell-Minda, Elizabeth; Jutai, Jeffrey W.; Strong, J. Graham; Campbell, Kent A.; Gold, Deborah; Pretty, Lisa; Wilmot, Lesley

2007-01-01

This article presents a systematic review of the research evidence on the effects of the characteristics of typefaces on the legibility of text for adult readers with low vision. The review revealed that research has not produced consistent findings and thus that there is a need to develop standards and guidelines that are informed by evidence.…

Semantic representation of reported measurements in radiology.

PubMed

Oberkampf, Heiner; Zillner, Sonja; Overton, James A; Bauer, Bernhard; Cavallaro, Alexander; Uder, Michael; Hammon, Matthias

2016-01-22

In radiology, a vast amount of diverse data is generated, and unstructured reporting is standard. Hence, much useful information is trapped in free-text form, and often lost in translation and transmission. One relevant source of free-text data consists of reports covering the assessment of changes in tumor burden, which are needed for the evaluation of cancer treatment success. Any change of lesion size is a critical factor in follow-up examinations. It is difficult to retrieve specific information from unstructured reports and to compare them over time. Therefore, a prototype was implemented that demonstrates the structured representation of findings, allowing selective review in consecutive examinations and thus more efficient comparison over time. We developed a semantic Model for Clinical Information (MCI) based on existing ontologies from the Open Biological and Biomedical Ontologies (OBO) library. MCI is used for the integrated representation of measured image findings and medical knowledge about the normal size of anatomical entities. An integrated view of the radiology findings is realized by a prototype implementation of a ReportViewer. Further, RECIST (Response Evaluation Criteria In Solid Tumors) guidelines are implemented by SPARQL queries on MCI. The evaluation is based on two data sets of German radiology reports: An oncologic data set consisting of 2584 reports on 377 lymphoma patients and a mixed data set consisting of 6007 reports on diverse medical and surgical patients. All measurement findings were automatically classified as abnormal/normal using formalized medical background knowledge, i.e., knowledge that has been encoded into an ontology. A radiologist evaluated 813 classifications as correct or incorrect. All unclassified findings were evaluated as incorrect. The proposed approach allows the automatic classification of findings with an accuracy of 96.4 % for oncologic reports and 92.9 % for mixed reports. The ReportViewer permits efficient comparison of measured findings from consecutive examinations. The implementation of RECIST guidelines with SPARQL enhances the quality of the selection and comparison of target lesions as well as the corresponding treatment response evaluation. The developed MCI enables an accurate integrated representation of reported measurements and medical knowledge. Thus, measurements can be automatically classified and integrated in different decision processes. The structured representation is suitable for improved integration of clinical findings during decision-making. The proposed ReportViewer provides a longitudinal overview of the measurements.

Humor in the eye tracker: attention capture and distraction from context cues.

PubMed

Strick, Madelijn; Holland, Rob W; Van Baaren, Rick; Van Knippenberg, Ad

2010-01-01

The humor effect refers to a robust finding in memory research that humorous information is easily recalled, at the expense of recall of nonhumorous information that was encoded in close temporal proximity. Previous research suggests that memory retrieval processes underlie this effect. That is, free recall is biased toward humorous information, which interferes with the retrieval of nonhumorous information. The present research tested an additional explanation that has not been specifically addressed before: Humor receives enhanced attention during information encoding, which decreases attention for context information. Participants observed humorous, nonhumorous positive, and nonhumorous neutral texts paired with novel consumer brands, while their eye movements were recorded using eye-tracker technology. The results confirmed that humor receives prolonged attention relative to both positive and neutral nonhumorous information. This enhanced attention correlated with impaired brand recognition.

Precision and Disclosure in Text and Voice Interviews on Smartphones

PubMed Central

Antoun, Christopher; Ehlen, Patrick; Fail, Stefanie; Hupp, Andrew L.; Johnston, Michael; Vickers, Lucas; Yan, H. Yanna; Zhang, Chan

2015-01-01

As people increasingly communicate via asynchronous non-spoken modes on mobile devices, particularly text messaging (e.g., SMS), longstanding assumptions and practices of social measurement via telephone survey interviewing are being challenged. In the study reported here, 634 people who had agreed to participate in an interview on their iPhone were randomly assigned to answer 32 questions from US social surveys via text messaging or speech, administered either by a human interviewer or by an automated interviewing system. 10 interviewers from the University of Michigan Survey Research Center administered voice and text interviews; automated systems launched parallel text and voice interviews at the same time as the human interviews were launched. The key question was how the interview mode affected the quality of the response data, in particular the precision of numerical answers (how many were not rounded), variation in answers to multiple questions with the same response scale (differentiation), and disclosure of socially undesirable information. Texting led to higher quality data—fewer rounded numerical answers, more differentiated answers to a battery of questions, and more disclosure of sensitive information—than voice interviews, both with human and automated interviewers. Text respondents also reported a strong preference for future interviews by text. The findings suggest that people interviewed on mobile devices at a time and place that is convenient for them, even when they are multitasking, can give more trustworthy and accurate answers than those in more traditional spoken interviews. The findings also suggest that answers from text interviews, when aggregated across a sample, can tell a different story about a population than answers from voice interviews, potentially altering the policy implications from a survey. PMID:26060991

On the unsupervised analysis of domain-specific Chinese texts

PubMed Central

Deng, Ke; Bol, Peter K.; Li, Kate J.; Liu, Jun S.

2016-01-01

With the growing availability of digitized text data both publicly and privately, there is a great need for effective computational tools to automatically extract information from texts. Because the Chinese language differs most significantly from alphabet-based languages in not specifying word boundaries, most existing Chinese text-mining methods require a prespecified vocabulary and/or a large relevant training corpus, which may not be available in some applications. We introduce an unsupervised method, top-down word discovery and segmentation (TopWORDS), for simultaneously discovering and segmenting words and phrases from large volumes of unstructured Chinese texts, and propose ways to order discovered words and conduct higher-level context analyses. TopWORDS is particularly useful for mining online and domain-specific texts where the underlying vocabulary is unknown or the texts of interest differ significantly from available training corpora. When outputs from TopWORDS are fed into context analysis tools such as topic modeling, word embedding, and association pattern finding, the results are as good as or better than that from using outputs of a supervised segmentation method. PMID:27185919

Scalable ranked retrieval using document images

NASA Astrophysics Data System (ADS)

Jain, Rajiv; Oard, Douglas W.; Doermann, David

2013-12-01

Despite the explosion of text on the Internet, hard copy documents that have been scanned as images still play a significant role for some tasks. The best method to perform ranked retrieval on a large corpus of document images, however, remains an open research question. The most common approach has been to perform text retrieval using terms generated by optical character recognition. This paper, by contrast, examines whether a scalable segmentation-free image retrieval algorithm, which matches sub-images containing text or graphical objects, can provide additional benefit in satisfying a user's information needs on a large, real world dataset. Results on 7 million scanned pages from the CDIP v1.0 test collection show that content based image retrieval finds a substantial number of documents that text retrieval misses, and that when used as a basis for relevance feedback can yield improvements in retrieval effectiveness.

Representing spatial structure through maps and language: Lord of the Rings encodes the spatial structure of middle Earth.

PubMed

Louwerse, Max M; Benesh, Nick

2012-01-01

Spatial mental representations can be derived from linguistic and non-linguistic sources of information. This study tested whether these representations could be formed from statistical linguistic frequencies of city names, and to what extent participants differed in their performance when they estimated spatial locations from language or maps. In a computational linguistic study, we demonstrated that co-occurrences of cities in Tolkien's Lord of the Rings trilogy and The Hobbit predicted the authentic longitude and latitude of those cities in Middle Earth. In a human study, we showed that human spatial estimates of the location of cities were very similar regardless of whether participants read Tolkien's texts or memorized a map of Middle Earth. However, text-based location estimates obtained from statistical linguistic frequencies better predicted the human text-based estimates than the human map-based estimates. These findings suggest that language encodes spatial structure of cities, and that human cognitive map representations can come from implicit statistical linguistic patterns, from explicit non-linguistic perceptual information, or from both. Copyright © 2012 Cognitive Science Society, Inc.

Readability of the Written Study Information in Pediatric Research in France

PubMed Central

Ménoni, Véronique; Lucas, Noël; Leforestier, Jean-François; Doz, François; Chatellier, Gilles; Jacqz-Aigain, Evelyne; Giraud, Carole; Tréluyer, Jean-Marc; Chappuy, Hélène

2011-01-01

Background The aim was to evaluate the readability of research information leaflets (RIL) for minors asked to participate in biomedical research studies and to assess the factors influencing this readability. Methods and Findings All the pediatric protocols from three French pediatric clinical research units were included (N = 104). Three criteria were used to evaluate readability: length of the text, Flesch's readability score and presence of illustrations. We compared the readability of RIL to texts specifically written for children (school textbooks, school exams or extracts from literary works). We assessed the effect of protocol characteristics on readability. The RIL had a median length of 608 words [350 words, 25th percentile; 1005 words, 75th percentile], corresponding to two pages. The readability of the RIL, with a median Flesch score of 40 [30; 47], was much poorer than that of pediatric reference texts, with a Flesch score of 67 [60; 73]. A small proportion of RIL (13/91; 14%) were illustrated. The RIL were longer (p<0.001), more readable (p<0.001) and more likely to be illustrated (p<0.009) for industrial than for institutional sponsors. Conclusion Researchers should routinely compute the reading ease of study information sheets and make greater efforts to improve the readability of written documents for potential participants. PMID:21494689

The effects of different types of text and individual differences on view complexity about genetically modified organisms

NASA Astrophysics Data System (ADS)

Dinsmore, Daniel L.; Zoellner, Brian P.; Parkinson, Meghan M.; Rossi, Anthony M.; Monk, Mary J.; Vinnachi, Jenelle

2017-05-01

View change about socio-scientific issues has been well studied in the literature, but the change in the complexity of those views has not. In the current study, the change in the complexity of views about a specific scientific topic (i.e. genetically modified organisms; GMOs) and use of evidence in explaining those views was examined in relation to individual factors and type of text (informational, persuasive, or narrative). Undergraduate students completed measures of their prior views about GMOs their epistemic beliefs about the nature of science, and activities related to food consumption. Participants then read either an informational, persuasive, or narrative passage about GMOs and again answered a question related to their views about GMOs. Participants who read the persuasive passage decreased in the complexity of their views, while those who read the narrative and expository passage increased in the complexity of their views. Additionally, while cultural activities related to the complexity of individuals' views during the pretest, these significant differences were not evident at posttest after the text intervention. These findings can be used to help scientists and teachers better understand how to communicate information critical to understanding complex science and environmental issues to the public and their students.

Surgery

MedlinePlus

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Understanding Pneumonia

MedlinePlus

... each(function(i){ var city = $(this).find('city').text(); var state = $(this).find('state').text(); var date = $(this).find('date').text(); if ((city != "") && (state != "")){ var citystate = ' | ' + city + ', ' + state; } else ...

Oxygen Therapy

MedlinePlus

... each(function(i){ var city = $(this).find('city').text(); var state = $(this).find('state').text(); var date = $(this).find('date').text(); if ((city != "") && (state != "")){ var citystate = ' | ' + city + ', ' + state; } else ...

Interactive Visualization of Computational Fluid Dynamics using Mosaic

NASA Technical Reports Server (NTRS)

Clucas, Jean; Watson, Velvin; Chancellor, Marisa K. (Technical Monitor)

1994-01-01

The Web provides new Methods for accessing Information world-wide, but the current text-and-pictures approach neither utilizes all the Web's possibilities not provides for its limitations. While the inclusion of pictures and animations in a paper communicates more effectively than text alone, It Is essentially an extension of the concept of "publication." Also, as use of the Web increases putting images and animations online will quickly load even the "Information Superhighway." We need to find forms of communication that take advantage of the special nature of the Web. This paper presents one approach: the use of the Internet and the Mosaic interface for data sharing and collaborative analysis. We will describe (and In the presentation, demonstrate) our approach: using FAST (Flow Analysis Software Toolkit), a scientific visualization package, as a data viewer and interactive tool called from MOSAIC. Our intent is to stimulate the development of other tools that utilize the unique nature of electronic communication.

Comparing Relations of Motivation, Engagement, and Achievement among Struggling and Advanced Adolescent Readers

PubMed Central

Lutz Klauda, Susan; Guthrie, John T.

2014-01-01

This longitudinal study examined the development of reading motivation, engagement, and achievement in early adolescence by comparing interrelations of these variables in struggling and advanced readers. Participants were 183 pairs of seventh grade students matched in gender, ethnicity, socioeconomic status, and school attended. They completed measures of reading motivations, engagement and comprehension for information text as well as measures of general reading comprehension and reading fluency twice during the school year. Advanced readers showed stronger relations of motivation and engagement with achievement than struggling readers. However, motivation predicted concurrent engagement and growth in engagement similarly for struggling and advanced readers. These results are interpreted as support for the hypothesis that cognitive challenges limit the relations of motivation and engagement to achievement for struggling readers. The discussion also considers the impact of the focus on the information text genre on the relations observed and implications of the findings for achievement motivation theories. PMID:25663747

Biomedical hypothesis generation by text mining and gene prioritization.

PubMed

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

2014-01-01

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

Memory and comprehension deficits in spatial descriptions of children with non-verbal and reading disabilities.

PubMed

Mammarella, Irene C; Meneghetti, Chiara; Pazzaglia, Francesca; Cornoldi, Cesare

2014-01-01

The present study investigated the difficulties encountered by children with non-verbal learning disability (NLD) and reading disability (RD) when processing spatial information derived from descriptions, based on the assumption that both groups should find it more difficult than matched controls, but for different reasons, i.e., due to a memory encoding difficulty in cases of RD and to spatial information comprehension problems in cases of NLD. Spatial descriptions from both survey and route perspectives were presented to 9-12-year-old children divided into three groups: NLD (N = 12); RD (N = 12), and typically developing controls (TD; N = 15); then participants completed a sentence verification task and a memory for locations task. The sentence verification task was presented in two conditions: in one the children could refer to the text while answering the questions (i.e., text present condition), and in the other the text was withdrawn (i.e., text absent condition). Results showed that the RD group benefited from the text present condition, but was impaired to the same extent as the NLD group in the text absent condition, suggesting that the NLD children's difficulty is due mainly to their poor comprehension of spatial descriptions, while the RD children's difficulty is due more to a memory encoding problem. These results are discussed in terms of their implications in the neuropsychological profiles of children with NLD or RD, and the processes involved in spatial descriptions.

You've Read the Book, Now Make the Film: Moving Image Media, Print Literacy and Narrative.

ERIC Educational Resources Information Center

Parker, David

1999-01-01

Outlines findings from a pilot project by the Centre for Research on Literacy and the Media (England) in which primary school pupils adapted a text from a print into a moving image medium (animation). Examines the impact of this translation on pupils' print literacy. Suggests that informed practical use of media can have benefits for the pupils'…

How to Communicate with a Machine: On Reading a Public Library's OPAC

ERIC Educational Resources Information Center

Saarti, Jarmo; Raivio, Jouko

2011-01-01

This article presents a reading of the user interface in one public library system. Its aim is to find out the frames and competences required and used in the communication between the computer and the patron. The authors see the computer as a text that is to be read by the user who wants to search for information from the library. The transition…

Living with Tuberculosis

MedlinePlus

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Learn About Sarcoidosis

MedlinePlus

... each(function(i){ var city = $(this).find('city').text(); var state = $(this).find('state').text(); var date = $(this).find('date').text(); if ((city != "") && (state != "")){ var citystate = ' | ' + city + ', ' + state; } else ...

How Lungs Work

MedlinePlus

... each(function(i){ var city = $(this).find('city').text(); var state = $(this).find('state').text(); var date = $(this).find('date').text(); if ((city != "") && (state != "")){ var citystate = ' | ' + city + ', ' + state; } else ...

Understand Your Medication

MedlinePlus

... each(function(i){ var city = $(this).find('city').text(); var state = $(this).find('state').text(); var date = $(this).find('date').text(); if ((city != "") && (state != "")){ var citystate = ' | ' + city + ', ' + state; } else ...

Learn About Silicosis

MedlinePlus

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Learn About Tuberculosis

MedlinePlus

... each(function(i){ var city = $(this).find('city').text(); var state = $(this).find('state').text(); var date = $(this).find('date').text(); if ((city != "") && (state != "")){ var citystate = ' | ' + city + ', ' + state; } else ...

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

ERIC Educational Resources Information Center

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…

Text mining by Tsallis entropy

NASA Astrophysics Data System (ADS)

Jamaati, Maryam; Mehri, Ali

2018-01-01

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

Using computerized text analysis to assess communication within an Italian type 1 diabetes Facebook group.

PubMed

Troncone, Alda; Cascella, Crescenzo; Chianese, Antonietta; Iafusco, Dario

2015-07-01

The purpose of this study was to assess messages posted by mothers of children with type 1 diabetes in the Italian Facebook group "Mamme e diabete" using computerized text analysis. The data suggest that these mothers use online discussion boards as a place to seek and provide information to better manage the disease's daily demands-especially those tasks linked to insulin correction and administration, control of food intake, and bureaucratic duties, as well as to seek and give encouragement and to share experiences regarding diabetes and related impact on their life. The implications of these findings for the management of diabetes are discussed.

Reporting of teratology studies.

PubMed

Barrow, Paul C; Reynaud, Lucie

2013-01-01

The regulatory toxicology report is an unusual document that requires a particular skill to write. The report must be clear, accurate, concise, and focused. A clear and direct writing style is required. The end-users of the report will hope to find the information they seek with as little effort as possible. Few, or none, will read the entire document. The author should aim to appease the user by obliging him to read as little text and turn as few pages as possible. This chapter gives tips and guidance on how to present the experimental data and write the narrative text in the final study report for a teratology study.

What's in a Cigarette?

MedlinePlus

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Managing Your COPD Medications

MedlinePlus

... each(function(i){ var city = $(this).find('city').text(); var state = $(this).find('state').text(); var date = $(this).find('date').text(); if ((city != "") && (state != "")){ var citystate = ' | ' + city + ', ' + state; } else ...

Data mining in radiology

PubMed Central

Kharat, Amit T; Singh, Amarjit; Kulkarni, Vilas M; Shah, Digish

2014-01-01

Data mining facilitates the study of radiology data in various dimensions. It converts large patient image and text datasets into useful information that helps in improving patient care and provides informative reports. Data mining technology analyzes data within the Radiology Information System and Hospital Information System using specialized software which assesses relationships and agreement in available information. By using similar data analysis tools, radiologists can make informed decisions and predict the future outcome of a particular imaging finding. Data, information and knowledge are the components of data mining. Classes, Clusters, Associations, Sequential patterns, Classification, Prediction and Decision tree are the various types of data mining. Data mining has the potential to make delivery of health care affordable and ensure that the best imaging practices are followed. It is a tool for academic research. Data mining is considered to be ethically neutral, however concerns regarding privacy and legality exists which need to be addressed to ensure success of data mining. PMID:25024513

The influence of symbols on the short-term recall of pharmacy-generated prescription medication information in a low health literate sample.

PubMed

King, Sean R; McCaffrey, David J; Bentley, John P; Bouldin, Alicia; Hallam, Jeffrey; Wilkin, Noel E

2012-01-01

The effect of symbols on conveying health information has been studied in a variety of contexts and populations. This investigation assessed whether short-term recall of prescription medication information could be enhanced in a low health literate population through the use of symbols. Participants recruited from various nonpharmacy educational service locations were randomly assigned to receive a prescription medication information leaflet in either a text-only, text with symbols, or symbols-only format and then administered the Rapid Estimate of Adult Literacy in Medicine (REALM). Only those with REALM scores indicative of a sixth grade or lower reading level were included in data analysis. An 8-item, interviewer-administered questionnaire was used to assess participants' recall of information contained in the leaflet. A fictitious medication was used to control for participants' past experiences with medications. Results of statistical testing revealed that the three groups did not differ with respect to their ability to recall the medication information, F(2, 157) = 0.943, p = .392. The symbols used in this investigation were not found to enhance the short-term recall of the medication information presented. These findings should not be considered a wholesale indictment of the use of symbols within health care and in pharmacies. Rather, they should serve as a caution to their widespread use without careful consideration.

Health Information Seeking and Technology Use Among Veterans With Spinal Cord Injuries and Disorders.

PubMed

Hogan, Timothy P; Hill, Jennifer N; Locatelli, Sara M; Weaver, Frances M; Thomas, Florian P; Nazi, Kim M; Goldstein, Barry; Smith, Bridget M

2016-02-01

Access to health information is crucial to persons living with a spinal cord injury or disorder (SCI/D). Although previous research has provided insights on computer and Internet use among persons with SCI/D, as well as how and where persons with SCI/D gather health information, few studies have focused on U.S. veterans with SCI/D. To characterize health information seeking among veterans with SCI/D and to examine the association between technology use and the characteristics of veterans with SCI/D. Cross-sectional. Veterans Health Administration (VHA). Sample of 290 veterans with SCI/D who utilize services at 2 VHA SCI/D Centers. Postal mail survey. Extent of computer, Internet, and text messaging use, information source use, and e-Health literacy rates. The survey response rate was 38%. The majority of respondents were male (97.2%), younger than 65 years (71.0%), and white (71.7%). Of the respondents, 64.8% indicated that they use a computer, 62.9% reported use of the Internet, and 26.2% reported use of text messaging. The mean overall e-Health Literacy Scale score was 27.3 (standard deviation = 7.2). Similar to findings reported in studies focused outside the veteran population, the most frequent source that veterans turned to for information about SCI/D was a health professional (85.1%); this was also the most frequent source that veterans indicated they would turn to first to get information about SCI/D (75.9%). Other frequently reported sources of information included other persons with SCI/D (41.0%), Internet resources (31.0%), and family and friends (27.9%). Fairly high levels of computer and Internet use exist among veterans with SCI/D. Veterans with SCI/D also have a strong preference for people-particularly health professionals, and to a lesser extent peers and family and friends-as sources of information about SCI/D. These findings highlight the importance of combining technology and human interaction to meet the information needs of this population. Published by Elsevier Inc.

Do videos improve website satisfaction and recall of online cancer-related information in older lung cancer patients?

PubMed

Bol, Nadine; Smets, Ellen M A; Rutgers, M Mattijs; Burgers, Jacobus A; de Haes, Hanneke C J M; Loos, Eugène F; van Weert, Julia C M

2013-09-01

This study investigated the effects of personalized audiovisual information in addition to text on website satisfaction and recall of cancer-related online information in older lung cancer patients. An experiment using a 3 (condition: text only vs. text with nonpersonalized video vs. text with personalized video) by 2 (age patient: younger [<65 yrs] vs. older [≥65 yrs]) between-subjects factorial design was conducted. Patients were randomly assigned to one of the three information conditions stratified by age group. Patients were more satisfied with the comprehensibility, attractiveness, and the emotional support from the website when information was presented as text with personalized video compared to text only. Text with personalized video also outperformed text with nonpersonalized video regarding emotional support from the website. Furthermore, text with video improved patients' recall of cancer-related information as compared to text only. Older patients recalled less information correctly than younger patients, except when we controlled for Internet use. Text with personalized audiovisual information can enhance website satisfaction and information recall. Internet use plays an important role in explaining recall of information. The results of this study can be used to develop effective health communication materials for cancer patients. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

A diagnostic expert system for structured reports, quality assessment, and training of residents in sonography.

PubMed

Huettig, Matthias; Buscher, Georg; Menzel, Thomas; Scheppach, Wolfgang; Puppe, Frank; Buscher, Hans-Peter

2004-03-15

The quality of medical reports on diagnostic procedures has a considerable impact on the quality of medical care. Handwritten or otherwise unstructured reports tend to be incomplete, whereas structured questionnaires are of limited flexibility and not considered case-adequate. Thus, medical reports of this kind may promote an incomplete and misleading documentation and, therefore, be problematic with respect to their reliability. SonoConsult (SC), an expert system for structured and case-adequate documentation of sonographic findings with an additional diagnostic component, was evaluated with respect to user acceptance and suitability for enhancing the quality of reports and supporting sonographic beginners. The expectations and the attitudes of the users toward the program were evaluated by anonymous questionnaires. The documentation of findings and the diagnostic conclusions in 103 free text reports made by experienced examiners were evaluated by subjecting their information to a subsequent input into SC. Free text reports were checked for information that was asked by SC but not mentioned in the reports. In a series of 150 cases, the system diagnoses were blinded during input of findings into SC-questionnaires and the examiners' diagnostic conclusions were compared with the uncovered SC-diagnoses with respect to forgotten diagnoses. The structured and data-driven acquisition of information by the program was well accepted by the users. However, only a medium interest in the system-delivered diagnoses was noted. The program-generated reports were characterized by a more detailed description of the findings and a higher number of diagnoses in comparison to the unstructured reports before introduction of SC as the only documentation system. When unaware of the system diagnoses, information was entered into the questionnaires, and SC generated some diagnoses which were not mentioned by the examiners in their conclusions. The possibility to inspect the system diagnoses led to an enhancement of the number of diagnoses the examiners mentioned in their conclusions. By contrast, the examiners meant that the influence of the program on their conclusions was minimal or dispensable. Beginners in sonography acknowledged that the program led them to perform a complete examination in an adequate sequence. An expert system for the data-driven, case-adequate information acquisition of abdominal ultrasound examinations may enhance the quality of the reports and, potentially, of the examinations at the same time. In addition, it may help beginners to learn a structured problem- and finding-adequate examination sequence.

Facts about the Common Cold

MedlinePlus

... each(function(i){ var city = $(this).find('city').text(); var state = $(this).find('state').text(); var date = $(this).find('date').text(); if ((city != "") && (state != "")){ var citystate = ' | ' + city + ', ' + state; } else ...

Diagnosing and Treating Acute Bronchitis

MedlinePlus

... each(function(i){ var city = $(this).find('city').text(); var state = $(this).find('state').text(); var date = $(this).find('date').text(); if ((city != "") && (state != "")){ var citystate = ' | ' + city + ', ' + state; } else ...

Warning Signs of Lung Disease

MedlinePlus

... each(function(i){ var city = $(this).find('city').text(); var state = $(this).find('state').text(); var date = $(this).find('date').text(); if ((city != "") && (state != "")){ var citystate = ' | ' + city + ', ' + state; } else ...

Principles and tools for collaborative entity-based intelligence analysis.

PubMed

Bier, Eric A; Card, Stuart K; Bodnar, John W

2010-01-01

Software tools that make it easier for analysts to collaborate as a natural part of their work will lead to better analysis that is informed by more perspectives. We are interested to know if software tools can be designed that support collaboration even as they allow analysts to find documents and organize information (including evidence, schemas, and hypotheses). We have modified the Entity Workspace system, described previously, to test such designs. We have evaluated the resulting design in both a laboratory study and a study where it is situated with an analysis team. In both cases, effects on collaboration appear to be positive. Key aspects of the design include an evidence notebook optimized for organizing entities (rather than text characters), information structures that can be collapsed and expanded, visualization of evidence that emphasizes events and documents (rather than emphasizing the entity graph), and a notification system that finds entities of mutual interest to multiple analysts. Long-term tests suggest that this approach can support both top-down and bottom-up styles of analysis.

Learn about Respiratory Syncytial Virus (RSV)

MedlinePlus

... each(function(i){ var city = $(this).find('city').text(); var state = $(this).find('state').text(); var date = $(this).find('date').text(); if ((city != "") && (state != "")){ var citystate = ' | ' + city + ', ' + state; } else ...

Symptoms, Diagnosis and Treatment of Pneumonia

MedlinePlus

... each(function(i){ var city = $(this).find('city').text(); var state = $(this).find('state').text(); var date = $(this).find('date').text(); if ((city != "") && (state != "")){ var citystate = ' | ' + city + ', ' + state; } else ...

Automated extraction of Biomarker information from pathology reports.

PubMed

Lee, Jeongeun; Song, Hyun-Je; Yoon, Eunsil; Park, Seong-Bae; Park, Sung-Hye; Seo, Jeong-Wook; Park, Peom; Choi, Jinwook

2018-05-21

Pathology reports are written in free-text form, which precludes efficient data gathering. We aimed to overcome this limitation and design an automated system for extracting biomarker profiles from accumulated pathology reports. We designed a new data model for representing biomarker knowledge. The automated system parses immunohistochemistry reports based on a "slide paragraph" unit defined as a set of immunohistochemistry findings obtained for the same tissue slide. Pathology reports are parsed using context-free grammar for immunohistochemistry, and using a tree-like structure for surgical pathology. The performance of the approach was validated on manually annotated pathology reports of 100 randomly selected patients managed at Seoul National University Hospital. High F-scores were obtained for parsing biomarker name and corresponding test results (0.999 and 0.998, respectively) from the immunohistochemistry reports, compared to relatively poor performance for parsing surgical pathology findings. However, applying the proposed approach to our single-center dataset revealed information on 221 unique biomarkers, which represents a richer result than biomarker profiles obtained based on the published literature. Owing to the data representation model, the proposed approach can associate biomarker profiles extracted from an immunohistochemistry report with corresponding pathology findings listed in one or more surgical pathology reports. Term variations are resolved by normalization to corresponding preferred terms determined by expanded dictionary look-up and text similarity-based search. Our proposed approach for biomarker data extraction addresses key limitations regarding data representation and can handle reports prepared in the clinical setting, which often contain incomplete sentences, typographical errors, and inconsistent formatting.

Rating prediction using textual reviews

NASA Astrophysics Data System (ADS)

NithyaKalyani, A.; Ushasukhanya, S.; Nagamalleswari, TYJ; Girija, S.

2018-04-01

Information today is present in the form of opinions. Two & a half quintillion bytes are exchanged today in Internet everyday and a large amount consists of people’s speculation and reflection over an issue. It is the need of the hour to be able to mine this information that is presented to us. Sentimental analysis refers to mining of this raw information to make sense. The discipline of opinion mining has seen a lot of encouragement in the past few years augmented by involvement of social media like Instagram, Facebook, and twitter. The hidden message in this web of information is useful in several fields such as marketing, political polls, product review, forecast market movement, Identifying detractor and promoter. In this endeavor, we introduced sentiment rating system for a particular text or paragraph to determine the opinions polarity. Firstly we resolve the searching problem, tokenization, classification, and reliable content identification. Secondly we extract probability for given text or paragraph for both positive & negative sentiment value using naive bayes classifier. At last we use sentiment dictionary (SD), sentiment degree dictionary (SDD) and negation dictionary (ND) for more accuracy. Later we blend all above mentioned factor into given formula to find the rating for the review.

The potential for health-related uses of mobile phones and internet with homeless veterans: results from a multisite survey.

PubMed

McInnes, D Keith; Sawh, Leon; Petrakis, Beth Ann; Rao, Sowmya; Shimada, Stephanie L; Eyrich-Garg, Karin M; Gifford, Allen L; Anaya, Henry D; Smelson, David A

2014-09-01

Addressing the health needs of homeless veterans is a priority in the United States, and, although information technologies can potentially improve access to and engagement in care, little is known about this population's use of information technologies or their willingness to use technologies to communicate with healthcare providers and systems. This study fills this gap through a survey of homeless veterans' use of information technologies and their attitudes about using these technologies to assist with accessing needed healthcare services. Among the 106 homeless veterans surveyed, 89% had a mobile phone (one-third were smartphones), and 76% used the Internet. Among those with a mobile phone, 71% used text messaging. Nearly all respondents (93%) were interested in receiving mobile phone reminders (text message or phone call) about upcoming medical appointments, and a similar proportion (88%) wanted mobile phone outreach asking if they would like to schedule an appointment if they had not been seen by a health provider in over a year. In addition, respondents already used these technologies for information and communication related to health, housing, and jobs. These findings suggest new avenues for communication and health interventions for hard-to-reach homeless veterans.

Nontuberculous Mycobacterium Infections: Symptoms, Causes & Risk Factors

MedlinePlus

... each(function(i){ var city = $(this).find('city').text(); var state = $(this).find('state').text(); var date = $(this).find('date').text(); if ((city != "") && (state != "")){ var citystate = ' | ' + city + ', ' + state; } else ...

What is Multidrug and Extensively Drug Resistant TB?

MedlinePlus

... each(function(i){ var city = $(this).find('city').text(); var state = $(this).find('state').text(); var date = $(this).find('date').text(); if ((city != "") && (state != "")){ var citystate = ' | ' + city + ', ' + state; } else ...

Online and offline inferential and textual processing of poor comprehenders: Evidence from a probing method.

PubMed

Yeari, Menahem; Elentok, Shiri; Schiff, Rachel

2017-03-01

Numerous studies have demonstrated that poor inferential processing underlies the specific deficit of poor comprehenders. However, it is still not clear why poor comprehenders have difficulties in generating inferences while reading and whether this impairment is general or specific to one or more types of inferences. The current study employed an online probing method to examine the spontaneous immediate activation of two inference types-forward-predictive inferences and backward-explanatory inferences-during reading. In addition, we examined the ability of poor comprehenders to retain, suppress, and reactivate text information (relevant for inferencing) in working memory. The participants, 10- to 12-year-old good and poor comprehenders, read short narratives and name inference or text word probes following a predictive, intervening, or bridging sentence. Comparing the size of probe-naming facilitations revealed that poor comprehenders generate predictive inferences, albeit more slowly than good comprehenders, and generate explanatory inferences to a lesser extent than good comprehenders. Moreover, we found that this inferior inferential processing is presumably a result of poor retention and reactivation of inference-evoking text information during reading. Finally, poorer reading comprehension was associated with higher activation of information when it was less relevant following the intervening sentences. Taken together, the current findings demonstrate the manner in which poor regulation of relevant and less relevant information during reading underlies the specific comprehension difficulties experienced by poor comprehenders. Copyright © 2016 Elsevier Inc. All rights reserved.

Putting Prevention in Their Pockets: Developing Mobile Phone-Based HIV Interventions for Black Men Who Have Sex with Men

PubMed Central

Pike, Emily C.; Fowler, Beth; LeGrand, Sara; Parsons, Jeffrey T.; Bull, Sheana S.; Wilson, Patrick A.; Wohl, David A.; Hightow-Weidman, Lisa B.

2013-01-01

Abstract Young black men who have sex with men (MSM) bear a disproportionate burden of HIV. Rapid expansion of mobile technologies, including smartphone applications (apps), provides a unique opportunity for outreach and tailored health messaging. We collected electronic daily journals and conducted surveys and focus groups with 22 black MSM (age 18–30) at three sites in North Carolina to inform the development of a mobile phone-based intervention. Qualitative data was analyzed thematically using NVivo. Half of the sample earned under $11,000 annually. All participants owned smartphones and had unlimited texting and many had unlimited data plans. Phones were integral to participants' lives and were a primary means of Internet access. Communication was primarily through text messaging and Internet (on-line chatting, social networking sites) rather than calls. Apps were used daily for entertainment, information, productivity, and social networking. Half of participants used their phones to find sex partners; over half used phones to find health information. For an HIV-related app, participants requested user-friendly content about test site locators, sexually transmitted diseases, symptom evaluation, drug and alcohol risk, safe sex, sexuality and relationships, gay-friendly health providers, and connection to other gay/HIV-positive men. For young black MSM in this qualitative study, mobile technologies were a widely used, acceptable means for HIV intervention. Future research is needed to measure patterns and preferences of mobile technology use among broader samples. PMID:23565925

Visual cortex entrains to sign language.

PubMed

Brookshire, Geoffrey; Lu, Jenny; Nusbaum, Howard C; Goldin-Meadow, Susan; Casasanto, Daniel

2017-06-13

Despite immense variability across languages, people can learn to understand any human language, spoken or signed. What neural mechanisms allow people to comprehend language across sensory modalities? When people listen to speech, electrophysiological oscillations in auditory cortex entrain to slow ([Formula: see text]8 Hz) fluctuations in the acoustic envelope. Entrainment to the speech envelope may reflect mechanisms specialized for auditory perception. Alternatively, flexible entrainment may be a general-purpose cortical mechanism that optimizes sensitivity to rhythmic information regardless of modality. Here, we test these proposals by examining cortical coherence to visual information in sign language. First, we develop a metric to quantify visual change over time. We find quasiperiodic fluctuations in sign language, characterized by lower frequencies than fluctuations in speech. Next, we test for entrainment of neural oscillations to visual change in sign language, using electroencephalography (EEG) in fluent speakers of American Sign Language (ASL) as they watch videos in ASL. We find significant cortical entrainment to visual oscillations in sign language <5 Hz, peaking at [Formula: see text]1 Hz. Coherence to sign is strongest over occipital and parietal cortex, in contrast to speech, where coherence is strongest over the auditory cortex. Nonsigners also show coherence to sign language, but entrainment at frontal sites is reduced relative to fluent signers. These results demonstrate that flexible cortical entrainment to language does not depend on neural processes that are specific to auditory speech perception. Low-frequency oscillatory entrainment may reflect a general cortical mechanism that maximizes sensitivity to informational peaks in time-varying signals.

Representation of Tinnitus in the US Newspaper Media and in Facebook Pages: Cross-Sectional Analysis of Secondary Data.

PubMed

Manchaiah, Vinaya; Ratinaud, Pierre; Andersson, Gerhard

2018-05-08

When people with health conditions begin to manage their health issues, one important issue that emerges is the question as to what exactly do they do with the information that they have obtained through various sources (eg, news media, social media, health professionals, friends, and family). The information they gather helps form their opinions and, to some degree, influences their attitudes toward managing their condition. This study aimed to understand how tinnitus is represented in the US newspaper media and in Facebook pages (ie, social media) using text pattern analysis. This was a cross-sectional study based upon secondary analyses of publicly available data. The 2 datasets (ie, text corpuses) analyzed in this study were generated from US newspaper media during 1980-2017 (downloaded from the database US Major Dailies by ProQuest) and Facebook pages during 2010-2016. The text corpuses were analyzed using the Iramuteq software using cluster analysis and chi-square tests. The newspaper dataset had 432 articles. The cluster analysis resulted in 5 clusters, which were named as follows: (1) brain stimulation (26.2%), (2) symptoms (13.5%), (3) coping (19.8%), (4) social support (24.2%), and (5) treatment innovation (16.4%). A time series analysis of clusters indicated a change in the pattern of information presented in newspaper media during 1980-2017 (eg, more emphasis on cluster 5, focusing on treatment inventions). The Facebook dataset had 1569 texts. The cluster analysis resulted in 7 clusters, which were named as: (1) diagnosis (21.9%), (2) cause (4.1%), (3) research and development (13.6%), (4) social support (18.8%), (5) challenges (11.1%), (6) symptoms (21.4%), and (7) coping (9.2%). A time series analysis of clusters indicated no change in information presented in Facebook pages on tinnitus during 2011-2016. The study highlights the specific aspects about tinnitus that the US newspaper media and Facebook pages focus on, as well as how these aspects change over time. These findings can help health care providers better understand the presuppositions that tinnitus patients may have. More importantly, the findings can help public health experts and health communication experts in tailoring health information about tinnitus to promote self-management, as well as assisting in appropriate choices of treatment for those living with tinnitus. ©Vinaya Manchaiah, Pierre Ratinaud, Gerhard Andersson. Originally published in the Interactive Journal of Medical Research (http://www.i-jmr.org/), 08.05.2018.

The Informational Text Structure Survey (ITS[superscript 2]): An Exploration of Primary Grade Teachers' Sensitivity to Text Structure in Young Children's Informational Texts

ERIC Educational Resources Information Center

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

2016-01-01

There has been no research reported about if or how well primary grade teachers can identify information text structures in children's authentic informational texts. The ability to do so accurately and reliably is a prerequisite for teachers to be able to teach students how to recognize and use text structures to assist them in comprehending…

Using the Text Structures of Information Books to Teach Writing in the Primary Grades

ERIC Educational Resources Information Center

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

2013-01-01

Teaching children in the primary grades the text structures and features used by authors of information text has been shown to improve comprehension of information texts and provide the scaffolding and support these children need in order to write their own information texts. As teachers implement the "English Language Arts Common Core State…

Corrigendum to"A high volume, batch mode 129Xe polarizer" [NIMA 856 (2017) 65-71

NASA Astrophysics Data System (ADS)

Wojna-Pelczar, Anna; Pałasz, Tadeusz

2018-04-01

It was recently brought to our attention that some important information was missing in the above mentioned publication and several statements expressed in the text could be falsely understood by a potential Reader. Here we apologize for those omissions and propose that the following correcting actions will be undertaken to clarify main results of our project and limitations of findings described in the paper.

Washington's Infant Toddler Early Intervention Program Study: Enrollment of Washington Children with Disabilities and Special Health Care Needs in Washington State Public Programs on December 1, 1995.

ERIC Educational Resources Information Center

Keenan, Trisha; And Others

This document presents tables, graphs, and narrative text providing information on the number and characteristics of infants and toddlers, under the age of 3, with disabilities and special health problems who were enrolled in Washington State's infant and toddler early intervention program in 1995. Major findings of the report include the…

Beyond Captions: Linking Figures with Abstract Sentences in Biomedical Articles

PubMed Central

Bockhorst, Joseph P.; Conroy, John M.; Agarwal, Shashank; O’Leary, Dianne P.; Yu, Hong

2012-01-01

Although figures in scientific articles have high information content and concisely communicate many key research findings, they are currently under utilized by literature search and retrieval systems. Many systems ignore figures, and those that do not typically only consider caption text. This study describes and evaluates a fully automated approach for associating figures in the body of a biomedical article with sentences in its abstract. We use supervised methods to learn probabilistic language models, hidden Markov models, and conditional random fields for predicting associations between abstract sentences and figures. Three kinds of evidence are used: text in abstract sentences and figures, relative positions of sentences and figures, and the patterns of sentence/figure associations across an article. Each information source is shown to have predictive value, and models that use all kinds of evidence are more accurate than models that do not. Our most accurate method has an -score of 69% on a cross-validation experiment, is competitive with the accuracy of human experts, has significantly better predictive accuracy than state-of-the-art methods and enables users to access figures associated with an abstract sentence with an average of 1.82 fewer mouse clicks. A user evaluation shows that human users find our system beneficial. The system is available at http://FigureItOut.askHERMES.org. PMID:22815711

Development and testing of a text-mining approach to analyse patients' comments on their experiences of colorectal cancer care.

PubMed

Wagland, Richard; Recio-Saucedo, Alejandra; Simon, Michael; Bracher, Michael; Hunt, Katherine; Foster, Claire; Downing, Amy; Glaser, Adam; Corner, Jessica

2016-08-01

Quality of cancer care may greatly impact on patients' health-related quality of life (HRQoL). Free-text responses to patient-reported outcome measures (PROMs) provide rich data but analysis is time and resource-intensive. This study developed and tested a learning-based text-mining approach to facilitate analysis of patients' experiences of care and develop an explanatory model illustrating impact on HRQoL. Respondents to a population-based survey of colorectal cancer survivors provided free-text comments regarding their experience of living with and beyond cancer. An existing coding framework was tested and adapted, which informed learning-based text mining of the data. Machine-learning algorithms were trained to identify comments relating to patients' specific experiences of service quality, which were verified by manual qualitative analysis. Comparisons between coded retrieved comments and a HRQoL measure (EQ5D) were explored. The survey response rate was 63.3% (21 802/34 467), of which 25.8% (n=5634) participants provided free-text comments. Of retrieved comments on experiences of care (n=1688), over half (n=1045, 62%) described positive care experiences. Most negative experiences concerned a lack of post-treatment care (n=191, 11% of retrieved comments) and insufficient information concerning self-management strategies (n=135, 8%) or treatment side effects (n=160, 9%). Associations existed between HRQoL scores and coded algorithm-retrieved comments. Analysis indicated that the mechanism by which service quality impacted on HRQoL was the extent to which services prevented or alleviated challenges associated with disease and treatment burdens. Learning-based text mining techniques were found useful and practical tools to identify specific free-text comments within a large dataset, facilitating resource-efficient qualitative analysis. This method should be considered for future PROM analysis to inform policy and practice. Study findings indicated that perceived care quality directly impacts on HRQoL. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Automatic extraction of angiogenesis bioprocess from text

PubMed Central

Wang, Xinglong; McKendrick, Iain; Barrett, Ian; Dix, Ian; French, Tim; Tsujii, Jun'ichi; Ananiadou, Sophia

2011-01-01

Motivation: Understanding key biological processes (bioprocesses) and their relationships with constituent biological entities and pharmaceutical agents is crucial for drug design and discovery. One way to harvest such information is searching the literature. However, bioprocesses are difficult to capture because they may occur in text in a variety of textual expressions. Moreover, a bioprocess is often composed of a series of bioevents, where a bioevent denotes changes to one or a group of cells involved in the bioprocess. Such bioevents are often used to refer to bioprocesses in text, which current techniques, relying solely on specialized lexicons, struggle to find. Results: This article presents a range of methods for finding bioprocess terms and events. To facilitate the study, we built a gold standard corpus in which terms and events related to angiogenesis, a key biological process of the growth of new blood vessels, were annotated. Statistics of the annotated corpus revealed that over 36% of the text expressions that referred to angiogenesis appeared as events. The proposed methods respectively employed domain-specific vocabularies, a manually annotated corpus and unstructured domain-specific documents. Evaluation results showed that, while a supervised machine-learning model yielded the best precision, recall and F1 scores, the other methods achieved reasonable performance and less cost to develop. Availability: The angiogenesis vocabularies, gold standard corpus, annotation guidelines and software described in this article are available at http://text0.mib.man.ac.uk/~mbassxw2/angiogenesis/ Contact: xinglong.wang@gmail.com PMID:21821664

Integrating text mining, data mining, and network analysis for identifying genetic breast cancer trends.

PubMed

Jurca, Gabriela; Addam, Omar; Aksac, Alper; Gao, Shang; Özyer, Tansel; Demetrick, Douglas; Alhajj, Reda

2016-04-26

Breast cancer is a serious disease which affects many women and may lead to death. It has received considerable attention from the research community. Thus, biomedical researchers aim to find genetic biomarkers indicative of the disease. Novel biomarkers can be elucidated from the existing literature. However, the vast amount of scientific publications on breast cancer make this a daunting task. This paper presents a framework which investigates existing literature data for informative discoveries. It integrates text mining and social network analysis in order to identify new potential biomarkers for breast cancer. We utilized PubMed for the testing. We investigated gene-gene interactions, as well as novel interactions such as gene-year, gene-country, and abstract-country to find out how the discoveries varied over time and how overlapping/diverse are the discoveries and the interest of various research groups in different countries. Interesting trends have been identified and discussed, e.g., different genes are highlighted in relationship to different countries though the various genes were found to share functionality. Some text analysis based results have been validated against results from other tools that predict gene-gene relations and gene functions.

Group X

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

Fields, Susannah

2007-08-16

This project is currently under contract for research through the Department of Homeland Security until 2011. The group I was responsible for studying has to remain confidential so as not to affect the current project. All dates, reference links and authors, and other distinguishing characteristics of the original group have been removed from this report. All references to the name of this group or the individual splinter groups has been changed to 'Group X'. I have been collecting texts from a variety of sources intended for the use of recruiting and radicalizing members for Group X splinter groups for themore » purpose of researching the motivation and intent of leaders of those groups and their influence over the likelihood of group radicalization. This work included visiting many Group X websites to find information on splinter group leaders and finding their statements to new and old members. This proved difficult because the splinter groups of Group X are united in beliefs, but differ in public opinion. They are eager to tear each other down, prove their superiority, and yet remain anonymous. After a few weeks of intense searching, a list of eight recruiting texts and eight radicalizing texts from a variety of Group X leaders were compiled.« less

Developing content for a mHealth intervention to promote postpartum retention in prevention of mother-to-child HIV transmission programs and early infant diagnosis of HIV: a qualitative study.

PubMed

Odeny, Thomas A; Newman, Maya; Bukusi, Elizabeth A; McClelland, R Scott; Cohen, Craig R; Camlin, Carol S

2014-01-01

Maternal attendance at postnatal clinic visits and timely diagnosis of infant HIV infection are important steps for prevention of mother-to-child transmission (PMTCT) of HIV. We aimed to use theory-informed methods to develop text messages targeted at facilitating these steps. We conducted five focus group discussions with health workers and women attending antenatal, postnatal, and PMTCT clinics to explore aspects of women's engagement in postnatal HIV care and infant testing. Discussion topics were informed by constructs of the Health Belief Model (HBM) and prior empirical research. Qualitative data were coded and analyzed according to the construct of the HBM to which they related. Themes were extracted and used to draft intervention messages. We carried out two stages of further messaging development: messages were presented in a follow-up focus group in order to develop optimal phrasing in local languages. We then further refined the messages, pretested them in individual cognitive interviews with selected health workers, and finalized the messages for the intervention. Findings indicated that brief, personalized, caring, polite, encouraging, and educational text messages would facilitate women bringing their children to clinic after delivery, suggesting that text messages may serve as an important "cue to action." Participants emphasized that messages should not mention HIV due to fear of HIV testing and disclosure. Participants also noted that text messages could capitalize on women's motivation to attend clinic for childhood immunizations. Applying a multi-stage content development approach to crafting text messages--informed by behavioral theory--resulted in message content that was consistent across different focus groups. This approach could help answer "why" and "how" text messaging may be a useful tool to support maternal and child health. We are evaluating the effect of these messages on improving postpartum PMTCT retention and infant HIV testing in a randomized trial.

Designing a Text Messaging Intervention to Improve Physical Activity Behavior Among Low-Income Latino Patients With Diabetes: A Discrete-Choice Experiment, Los Angeles, 2014-2015.

PubMed

Ramirez, Magaly; Wu, Shinyi; Beale, Elizabeth

2016-12-22

Automated text messaging can deliver self-management education to activate self-care behaviors among people with diabetes. We demonstrated how a discrete-choice experiment was used to determine the features of a text-messaging intervention that are important to urban, low-income Latino patients with diabetes and that could support improvement in their physical activity behavior. In a discrete-choice experiment from December 2014 through August 2015 we conducted a survey to elicit information on patient preferences for 5 features of a text-messaging intervention. We described 2 hypothetical interventions and in 7 pairwise comparisons asked respondents to indicate which they preferred. Respondents (n = 125) were recruited in person from a diabetes management program of a safety-net ambulatory care clinic in Los Angeles; clinicians referred patients to the research assistant after routine clinic visits. Data were analyzed by using conditional logistic regression. We found 2 intervention features that were considered by the survey respondents to be important: 1) the frequency of text messaging and 2) physical activity behavior-change education (the former being more important than the latter). Physical activity goal setting, feedback on physical activity performance, and social support were not significantly important. A discrete-choice experiment is a feasible way to elicit information on patient preferences for a text-messaging intervention designed to support behavior change. However, discrepancies may exist between patients' stated preferences and their actual behavior. Future research should validate and expand our findings.

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

PubMed

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

2018-01-01

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

Text to Quit China: An mHealth Smoking Cessation Trial

PubMed Central

Augustson, Erik; Engelgau, Michael M.; Zhang, Shu; Cai, Ying; Cher, Willie; Li, Richun; Jiang, Yuan; Lynch, Krystal; Bromberg, Julie E.

2015-01-01

Purpose To assess the feasibility, acceptability, and efficacy of a text message–based smoking cessation intervention in China. Design Randomized control trial with a 6-month follow-up assessment of smoking status. Setting Zhejiang, Heilongjiang, and Shaanxi provinces in China. Subjects 8,000 adult smokers in China who use Nokia Life Tools and participated in Phase II (smoking education via text message) of the study. Intervention High Frequency Text Contact (HFTC) group received one to three messages daily containing smoking cessation advice, encouragement, and health education information. Low Frequency Text Contact (LFTC) group received one weekly message with smoking health effects information. Measures Our primary outcome was smoking status 0, 1, 3, and 6 months post-intervention. Secondary outcomes include participant perceptions of the HFTC intervention, and factors associated with smoking cessation among HFTC participants. Analysis Descriptive and chi-square analyses were conducted to assess smoking status and acceptability. Factors associated with quitting were assessed using multiple logistic regression analyses. Results Quit rates were high in both HFTC and LFTC groups (HFTC: 0 month 27.9%, 1 month 30.5%, 3 months 26.7%, 6 months 27.7%; LFTC: 0 month 26.7%, 1 month 30.4%, 3 months 28.1%, 6 months 27.7), with no significant difference between the two groups in an intent-to-treat analysis. Attitudes towards the HFTC intervention were largely positive. Conclusion Our findings suggest that a text message–based smoking cessation intervention can be successfully delivered in China and is acceptable to Chinese smokers, but further research is needed to assess the potential impact of this type of intervention. PMID:26730560

Application of latent semantic analysis for open-ended responses in a large, epidemiologic study

PubMed Central

2011-01-01

Background The Millennium Cohort Study is a longitudinal cohort study designed in the late 1990s to evaluate how military service may affect long-term health. The purpose of this investigation was to examine characteristics of Millennium Cohort Study participants who responded to the open-ended question, and to identify and investigate the most commonly reported areas of concern. Methods Participants who responded during the 2001-2003 and 2004-2006 questionnaire cycles were included in this study (n = 108,129). To perform these analyses, Latent Semantic Analysis (LSA) was applied to a broad open-ended question asking the participant if there were any additional health concerns. Multivariable logistic regression was performed to examine the adjusted odds of responding to the open-text field, and cluster analysis was executed to understand the major areas of concern for participants providing open-ended responses. Results Participants who provided information in the open-ended text field (n = 27,916), had significantly lower self-reported general health compared with those who did not provide information in the open-ended text field. The bulk of responses concerned a finite number of topics, most notably illness/injury, exposure, and exercise. Conclusion These findings suggest generalized topic areas, as well as identify subgroups who are more likely to provide additional information in their response that may add insight into future epidemiologic and military research. PMID:21974837

Looking Closely at Informational Texts: Considering the Role(s) of Mentor Texts for Kindergarten Children

ERIC Educational Resources Information Center

Moses, Lindsey; Serafini, Frank; Loyd, Stacy

2016-01-01

To fully consider the potential of informational texts to serve as mentor texts in the elementary classroom, the authors propose an inquiry about the intersections among the author's intentions, instructional contexts, a teacher's approaches, and students' responses to informational texts when contemplating the roles these texts might serve. In…

Recent Trends in the Presentation of Neuroanatomy in Contemporary Neuroanatomy Books as Revealed in Their 'Preface's: A Review.

PubMed

Yasmin, Q S; Banu, L A; Rahman, M F; Paul, S

2015-04-01

Many changes have been made in the field of Neuroanatomy teaching and assessment. One important way to know the changes in other country is by analyzing the Neuroanatomy text books and we can compare their reflections in our curriculum by analyzing the assessment system. To analyze the 'Preface's of contemporary Neuroanatomy text books, qualitatively, for noting the approaches taken and means applied in dealing with Neuroanatomy in the text books. This review was done in Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka from July 2008 and June 2009. The 'Preface's of ten contemporary text books dealing with Neuroanatomy, published since 1993, was analyzed. Among them, the two that are most commonly recommended to the medical postgraduates in Bangladesh were selected for analyzing their presentation of text and illustrations. The 'Preface's of ten books were analyzed qualitatively to identify the information and explanations provided and comments made by their author(s)/editor(s) on the approaches taken and the means applied in the books in selecting and presenting topics, text and illustrations. The observations were organized into specific 'theme's. Twelve 'theme's were identified from the analyses of the 'Preface's of ten contemporary Neuroanatomy text books. These include special emphasis in the books on incorporation of new information, on practical application of Neuroanatomical facts. Addition and improvement regarding illustrations are also highlighted. By incorporating the findings of the present study with the present-day ideas and trends in Neuroanatomy in the developed world as evident from the available literature, suggestions could be formulated on improving the methods of teaching and assessment of Neuroanatomy in Bangladesh.

A New Kind of Currency: Informational Text Literacy in Elementary School

ERIC Educational Resources Information Center

Rowe, Sarah Stebbe

2012-01-01

In the current global economy, skills in the informational text genres are increasingly important for communicating ideas among professionals. The Reading Framework for the 2009 National Assessment of Educational Progress described informational text broadly as a major type of text that includes exposition, argumentation or persuasive text, and…

Designing a Culturally Appropriate Visually Enhanced Low-Text Mobile Health App Promoting Physical Activity for Latinos: A Qualitative Study.

PubMed

Bender, Melinda S; Martinez, Suzanna; Kennedy, Christine

2016-07-01

Rapid proliferation of smartphone ownership and use among Latinos offers a unique opportunity to employ innovative visually enhanced low-text (VELT) mobile health applications (mHealth app) to promote health behavior change for Latinos at risk for lifestyle-related diseases. Using focus groups and in-depth interviews with 16 promotores and 5 health care providers recruited from California clinics, this qualitative study explored perceptions of visuals for a VELT mHealth app promoting physical activity (PA) and limiting sedentary behavior (SB) for Latinos. In this Phase 1 study, participants endorsed visuals portraying PA guidelines and recommended visuals depicting family and socially oriented PA. Overall, participants supported a VELT mHealth app as an alternative to text-based education. Findings will inform the future Phase 2 study development of a culturally appropriate VELT mHealth app to promote PA for Latinos, improve health literacy, and provide an alternative to traditional clinic text-based health education materials. © The Author(s) 2015.

Towards Phenotyping of Clinical Trial Eligibility Criteria.

PubMed

Löbe, Matthias; Stäubert, Sebastian; Goldberg, Colleen; Haffner, Ivonne; Winter, Alfred

2018-01-01

Medical plaintext documents contain important facts about patients, but they are rarely available for structured queries. The provision of structured information from natural language texts in addition to the existing structured data can significantly speed up the search for fulfilled inclusion criteria and thus improve the recruitment rate. This work is aimed at supporting clinical trial recruitment with text mining techniques to identify suitable subjects in hospitals. Based on the inclusion/exclusion criteria of 5 sample studies and a text corpus consisting of 212 doctor's letters and medical follow-up documentation from a university cancer center, a prototype was developed and technically evaluated using NLP procedures (UIMA) for the extraction of facts from medical free texts. It was found that although the extracted entities are not always correct (precision between 23% and 96%), they provide a decisive indication as to which patient file should be read preferentially. The prototype presented here demonstrates the technical feasibility. In order to find available, lucrative phenotypes, an in-depth evaluation is required.

Text Genres in Information Organization

ERIC Educational Resources Information Center

Nahotko, Marek

2016-01-01

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

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

PubMed

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

2016-01-01

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

Rules of engagement: incomplete and complete pronoun resolution.

PubMed

Love, Jessica; McKoon, Gail

2011-07-01

Research on shallow processing suggests that readers sometimes encode only a superficial representation of a text and fail to make use of all available information. Greene, McKoon, and Ratcliff (1992) extended this work to pronouns, finding evidence that readers sometimes fail to automatically identify referents even when these are unambiguous. In this paper we revisit those findings. In 11 recognition probe, priming, and self-report experiments, we manipulated Greene et al.'s stories to discover under what circumstances a pronoun's referent is automatically understood. We lengthened the stories from 4 to 8 lines. This simple manipulation led to automatic and correct resolution, which we attribute to readers' increased engagement with the stories. We found evidence of resolution even when the additional text did not mention the pronoun's referent. In addition, our results suggest that the pronoun temporarily boosts the referent's accessibility, an advantage that disappears by the end of the next sentence. Finally, we present evidence from memory experiments that supports complete pronoun resolution for the longer but not the shorter stories.

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

PubMed Central

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

2017-01-01

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

Memory for product sounds: the effect of sound and label type.

PubMed

Ozcan, Elif; van Egmond, René

2007-11-01

The (mnemonic) interactions between auditory, visual, and the semantic systems have been investigated using structurally complex auditory stimuli (i.e., product sounds). Six types of product sounds (air, alarm, cyclic, impact, liquid, mechanical) that vary in spectral-temporal structure were presented in four label type conditions: self-generated text, text, image, and pictogram. A memory paradigm that incorporated free recall, recognition, and matching tasks was employed. The results for the sound type suggest that the amount of spectral-temporal structure in a sound can be indicative for memory performance. Findings related to label type suggest that 'self' creates a strong bias for the retrieval and the recognition of sounds that were self-labeled; the density and the complexity of the visual information (i.e., pictograms) hinders the memory performance ('visual' overshadowing effect); and image labeling has an additive effect on the recall and matching tasks (dual coding). Thus, the findings suggest that the memory performances for product sounds are task-dependent.

Exploring the feasibility of text messaging to support substance abuse recovery among youth in treatment

PubMed Central

Gonzales, Rachel; Douglas Anglin, M.; Glik, Deborah C.

2014-01-01

This exploratory study examined treatment involved youth opinions about (i) the utility of using text messaging to support recovery behaviors after treatment; (ii) important types of text messages that could help youth self-manage their substance use behaviors after treatment; and (iii) programmatic or logistical areas associated with text messaging programs. Eight focus groups were conducted with 67 youth (aged 12–24) enrolled in outpatient and residential publicly funded substance abuse treatment programs around Los Angeles County, California. Results highlight that 70% of youth positively endorsed text messaging as a viable method of intervention during aftercare, 20% expressed ambivalent feelings, and 10% conveyed dislike. Thematic data exploration revealed seven themes related to the types of text messages youth recommend for helping youth avoid relapse after treatment, including positive appraisal (90%), lifestyle change tips (85%), motivational reinforcing (80%), coping advice (75%), confidence boosters (65%), inspiration encouragement (55%), and informational resources (50%). Youth opinions about key logistical features of text messaging programs, including frequency, timing, sender, and length are also examined. Findings offer insight for the development and enhancement of recovery support interventions with substance abusing youth. Results imply text messaging may serve as a promising opportunity for recovery support for young people with substance abuse problems. PMID:24038196

Exploring the feasibility of text messaging to support substance abuse recovery among youth in treatment.

PubMed

Gonzales, Rachel; Douglas Anglin, M; Glik, Deborah C

2014-02-01

This exploratory study examined treatment involved youth opinions about (i) the utility of using text messaging to support recovery behaviors after treatment; (ii) important types of text messages that could help youth self-manage their substance use behaviors after treatment; and (iii) programmatic or logistical areas associated with text messaging programs. Eight focus groups were conducted with 67 youth (aged 12-24) enrolled in outpatient and residential publicly funded substance abuse treatment programs around Los Angeles County, California. Results highlight that 70% of youth positively endorsed text messaging as a viable method of intervention during aftercare, 20% expressed ambivalent feelings, and 10% conveyed dislike. Thematic data exploration revealed seven themes related to the types of text messages youth recommend for helping youth avoid relapse after treatment, including positive appraisal (90%), lifestyle change tips (85%), motivational reinforcing (80%), coping advice (75%), confidence boosters (65%), inspiration encouragement (55%), and informational resources (50%). Youth opinions about key logistical features of text messaging programs, including frequency, timing, sender, and length are also examined. Findings offer insight for the development and enhancement of recovery support interventions with substance abusing youth. Results imply text messaging may serve as a promising opportunity for recovery support for young people with substance abuse problems.

Menstruation in Ulysses.

PubMed

Mullin, Katherine

2008-01-01

This article investigates James Joyce's fascination with a wide variety of medical texts, sexual folklores, religious beliefs, and persistent superstitions about menstruation. That fascination finds its way into Ulysses, which draws upon a number of intertexts to inform a curiosity about the female body most strikingly articulated by Bloom, Molly, and Gerty MacDowell. These intertexts are not simply imported into the novel but are dismantled and interrogated, as Joyce exposes, rather than endorses, clichés of essential femininity.

Diagnostic imaging of infertility

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

Winfield, A.C.; Wentz, A.C.

1987-01-01

This text presents a review of all the imaging modalities available in the diagnosis of infertility. This book integrates the perspectives of experts in ob/gyn, radiology, reproductive endocrinology, and urology. It's a one-of-a-kind ''how to'' guide to hysterosalpinography and infertility evaluation, providing complete clinical information on the techniques, pitfalls, problems encountered and differential diagnosis. Detailed descriptions accompany numerous high-quality illustrations to help correlate findings and give meaning to the radiographic and ultrasound images.

An assessment of the information-seeking abilities and needs of practicing speech-language pathologists

PubMed Central

Nail-Chiwetalu, Barbara; Bernstein Ratner, Nan

2007-01-01

Objectives: This study assessed the information-seeking practices and needs of speech-language pathologists (SLPs). Improved understanding of these needs can inform librarians and educators to better prepare students in principles and methods of evidence-based practice (EBP) and, through continuing education (CE), promote the integration of EBP into clinical practice of SLPs. Methods: A 16-question survey was mailed to 1,000 certified speech-language pathologists in the United States. Results: Two hundred and eight usable surveys were returned for a response rate of 21%. For clinical questions, SLPs most often consulted with a colleague, participated in CE activities, and searched the open Internet. Few respondents relied on scholarly journal articles for assistance with clinical cases. The most prominent barriers to finding appropriate information were time and knowledge of where and how to find relevant information. Few reported having information literacy instruction by a librarian. Discussion: If EBP is to become a viable practice in clinical decision making, there appears to be a tremendous need for information literacy instruction in the university curriculum, as well as through CE activities for currently practicing SLPs. Given respondents' reported lack of time and limited access to full-text journals containing evidence relevant to clinical practice, the field of speech-language pathology will need to generate readily accessible clinical summaries of research evidence through meta-analyses, systematic reviews, and clinical practice guidelines. PMID:17443251

Text String Detection from Natural Scenes by Structure-based Partition and Grouping

PubMed Central

Yi, Chucai; Tian, YingLi

2012-01-01

Text information in natural scene images serves as important clues for many image-based applications such as scene understanding, content-based image retrieval, assistive navigation, and automatic geocoding. However, locating text from complex background with multiple colors is a challenging task. In this paper, we explore a new framework to detect text strings with arbitrary orientations in complex natural scene images. Our proposed framework of text string detection consists of two steps: 1) Image partition to find text character candidates based on local gradient features and color uniformity of character components. 2) Character candidate grouping to detect text strings based on joint structural features of text characters in each text string such as character size differences, distances between neighboring characters, and character alignment. By assuming that a text string has at least three characters, we propose two algorithms of text string detection: 1) adjacent character grouping method, and 2) text line grouping method. The adjacent character grouping method calculates the sibling groups of each character candidate as string segments and then merges the intersecting sibling groups into text string. The text line grouping method performs Hough transform to fit text line among the centroids of text candidates. Each fitted text line describes the orientation of a potential text string. The detected text string is presented by a rectangle region covering all characters whose centroids are cascaded in its text line. To improve efficiency and accuracy, our algorithms are carried out in multi-scales. The proposed methods outperform the state-of-the-art results on the public Robust Reading Dataset which contains text only in horizontal orientation. Furthermore, the effectiveness of our methods to detect text strings with arbitrary orientations is evaluated on the Oriented Scene Text Dataset collected by ourselves containing text strings in non-horizontal orientations. PMID:21411405

Text string detection from natural scenes by structure-based partition and grouping.

PubMed

Yi, Chucai; Tian, YingLi

2011-09-01

Text information in natural scene images serves as important clues for many image-based applications such as scene understanding, content-based image retrieval, assistive navigation, and automatic geocoding. However, locating text from a complex background with multiple colors is a challenging task. In this paper, we explore a new framework to detect text strings with arbitrary orientations in complex natural scene images. Our proposed framework of text string detection consists of two steps: 1) image partition to find text character candidates based on local gradient features and color uniformity of character components and 2) character candidate grouping to detect text strings based on joint structural features of text characters in each text string such as character size differences, distances between neighboring characters, and character alignment. By assuming that a text string has at least three characters, we propose two algorithms of text string detection: 1) adjacent character grouping method and 2) text line grouping method. The adjacent character grouping method calculates the sibling groups of each character candidate as string segments and then merges the intersecting sibling groups into text string. The text line grouping method performs Hough transform to fit text line among the centroids of text candidates. Each fitted text line describes the orientation of a potential text string. The detected text string is presented by a rectangle region covering all characters whose centroids are cascaded in its text line. To improve efficiency and accuracy, our algorithms are carried out in multi-scales. The proposed methods outperform the state-of-the-art results on the public Robust Reading Dataset, which contains text only in horizontal orientation. Furthermore, the effectiveness of our methods to detect text strings with arbitrary orientations is evaluated on the Oriented Scene Text Dataset collected by ourselves containing text strings in nonhorizontal orientations.

Problems of information support in scientific research

NASA Astrophysics Data System (ADS)

Shamaev, V. G.; Gorshkov, A. B.

2015-11-01

This paper reports on the creation of the open access Akustika portal (AKDATA.RU) designed to provide Russian-language easy-to-read and search information on acoustics and related topics. The absence of a Russian-language publication in foreign databases means that it is effectively lost for much of the scientific community. The portal has three interrelated sections: the Akustika information search system (ISS) (Acoustics), full-text archive of the Akusticheskii Zhurnal (Acoustic Journal), and 'Signal'naya informatsiya' ('Signaling information') on acoustics. The paper presents a description of the Akustika ISS, including its structure, content, interface, and information search capabilities for basic and applied research in diverse areas of science, engineering, biology, medicine, etc. The intended users of the portal are physicists, engineers, and engineering technologists interested in expanding their research activities and seeking to increase their knowledge base. Those studying current trends in the Russian-language contribution to international science may also find the portal useful.

[Systematic analysis of the readability of patient information on websites of German nonuniversity ENT hospitals].

PubMed

Meyer, M F; Bacher, R; Roth, K S; Beutner, D; Luers, J C

2014-03-01

Besides their function as one of the main contact points, websites of hospitals serve as medical information portals. All patients should be able to understand medical information texts; regardless of their literacy skills and educational level. Online texts should thus have an appropriate structure to ease their comprehension. Patient information texts on every German nonuniversity ENT hospital website (n = 125) were systematically analysed. For ten different ENT topics a representative medical information text was extracted from each website. Using objective text parameters and five established readability indices, the texts were analysed in terms of their readability and structure. Furthermore, we stratified the analysis in relation to the hospital organisation system and geographical region in Germany. Texts from 142 internet sites could be used for the definite analysis. On average, texts consisted of 15 sentences and 237 words. Readability indices congruously showed that the analysed texts could generally only be understood by a well-educated or even academic reader. The majority of patient information texts on German hospital websites are difficult to understand for most patients. In order to fulfil their goal of adequately informing the general population about disease, therapeutic options and the particular focal points of the clinic, a revision of most medical texts on the websites of German ENT hospitals is recommended.

State all-driver distracted driving laws and high school students'  texting while driving behavior.

PubMed

Qiao, Nan; Bell, Teresa Maria

2016-01-01

Texting while driving is highly prevalent among adolescents and young adults in the United States. Texting while driving can significantly increase the risk of road crashes and is associated with other risky driving behaviors. Most states have enacted distracted driving laws to prohibit texting while driving. This study examines effects of different all-driver distracted driving laws on texting while driving among high school students. High school student data were extracted from the 2013 National Youth Risk Behavior Survey. Distracted driving law information was collected from the National Conference of State Legislatures. The final sample included 6,168 high school students above the restricted driving age in their states and with access to a vehicle. Logistic regression was applied to estimate odds ratios of laws on texting while driving. All-driver text messaging bans with primary enforcement were associated with a significant reduction in odds of texting while driving among high school students (odds ratio = 0.703; 95% confidence interval, 0.513-0.964), whereas all-driver phone use bans with primary enforcement did not have a significant association with texting while driving (odds ratio = 0.846; 95% confidence interval, 0.501-1.429). The findings indicate that all-driver distracted driving laws that specifically target texting while driving as opposed to all types of phone use are effective in reducing the behavior among high school students.

Learning from Texts: Activation of Information from Previous Texts during Reading

ERIC Educational Resources Information Center

Beker, Katinka; Jolles, Dietsje; Lorch, Robert F., Jr.; van den Broek, Paul

2016-01-01

Learning often involves integration of information from multiple texts. The aim of the current study was to determine whether relevant information from previously read texts is spontaneously activated during reading, allowing for integration between texts (experiment 1 and 2), and whether this process is related to the representation of the texts…

Federated Access to Heterogeneous Information Resources in the Neuroscience Information Framework (NIF)

PubMed Central

Gupta, Amarnath; Bug, William; Marenco, Luis; Qian, Xufei; Condit, Christopher; Rangarajan, Arun; Müller, Hans Michael; Miller, Perry L.; Sanders, Brian; Grethe, Jeffrey S.; Astakhov, Vadim; Shepherd, Gordon; Sternberg, Paul W.; Martone, Maryann E.

2009-01-01

The overarching goal of the NIF (Neuroscience Information Framework) project is to be a one-stop-shop for Neuroscience. This paper provides a technical overview of how the system is designed. The technical goal of the first version of the NIF system was to develop an information system that a neuroscientist can use to locate relevant information from a wide variety of information sources by simple keyword queries. Although the user would provide only keywords to retrieve information, the NIF system is designed to treat them as concepts whose meanings are interpreted by the system. Thus, a search for term should find a record containing synonyms of the term. The system is targeted to find information from web pages, publications, databases, web sites built upon databases, XML documents and any other modality in which such information may be published. We have designed a system to achieve this functionality. A central element in the system is an ontology called NIFSTD (for NIF Standard) constructed by amalgamating a number of known and newly developed ontologies. NIFSTD is used by our ontology management module, called OntoQuest to perform ontology-based search over data sources. The NIF architecture currently provides three different mechanisms for searching heterogeneous data sources including relational databases, web sites, XML documents and full text of publications. Version 1.0 of the NIF system is currently in beta test and may be accessed through http://nif.nih.gov. PMID:18958629

Federated access to heterogeneous information resources in the Neuroscience Information Framework (NIF).

PubMed

Gupta, Amarnath; Bug, William; Marenco, Luis; Qian, Xufei; Condit, Christopher; Rangarajan, Arun; Müller, Hans Michael; Miller, Perry L; Sanders, Brian; Grethe, Jeffrey S; Astakhov, Vadim; Shepherd, Gordon; Sternberg, Paul W; Martone, Maryann E

2008-09-01

The overarching goal of the NIF (Neuroscience Information Framework) project is to be a one-stop-shop for Neuroscience. This paper provides a technical overview of how the system is designed. The technical goal of the first version of the NIF system was to develop an information system that a neuroscientist can use to locate relevant information from a wide variety of information sources by simple keyword queries. Although the user would provide only keywords to retrieve information, the NIF system is designed to treat them as concepts whose meanings are interpreted by the system. Thus, a search for term should find a record containing synonyms of the term. The system is targeted to find information from web pages, publications, databases, web sites built upon databases, XML documents and any other modality in which such information may be published. We have designed a system to achieve this functionality. A central element in the system is an ontology called NIFSTD (for NIF Standard) constructed by amalgamating a number of known and newly developed ontologies. NIFSTD is used by our ontology management module, called OntoQuest to perform ontology-based search over data sources. The NIF architecture currently provides three different mechanisms for searching heterogeneous data sources including relational databases, web sites, XML documents and full text of publications. Version 1.0 of the NIF system is currently in beta test and may be accessed through http://nif.nih.gov.

Augmented Reality for Searching Potential Assets in Medan using GPS based Tracking

NASA Astrophysics Data System (ADS)

Muchtar, M. A.; Syahputra, M. F.; Syahputra, N.; Ashrafia, S.; Rahmat, R. F.

2017-01-01

Every city is required to introduce its variety of potential assets so that the people know how to utilize or to develop their area. Potential assets include infrastructure, facilities, people, communities, organizations, customs that affects the characteristics and the way of life in Medan. Due to lack of socialization and information, most of people in Medan only know a few parts of the assets. Recently, so many mobile apps provide search and mapping locations used to find the location of potential assets in user’s area. However, the available information, such as text and digital maps, sometimes do not much help the user clearly and dynamically. Therefore, Augmented Reality technology able to display information in real world vision is implemented in this research so that the information can be more interactive and easily understood by user. This technology will be implemented in mobile apps using GPS based tracking and define the coordinate of user’s smartphone as a marker so that it can help people dynamically and easily find the location of potential assets in the nearest area based on the direction of user’s view on camera.

Accident ahead? Difficulties of drivers with and without reading impairment recognising words and pictograms in variable message signs.

PubMed

Roca, J; Tejero, P; Insa, B

2018-02-01

A timely and accurate acquisition of the information provided by variable message signs (VMS) can be crucial while driving. In the current study, we assess the difficulties of adults with dyslexia acquiring the information shown in VMS and provide evidence to discuss the controversial use of pictograms as potential countermeasures. Twenty-two adults with dyslexia and 22 matched controls completed a simulated driving session. The legibility of 12 VMS was assessed, including six text messages (e.g. "ACCIDENT") and six single pictograms (e.g. the icon for "accident ahead"). On average, participants with dyslexia started reading text messages when they were closer to the VMS. In addition, while approaching text VMS, they dedicated more gazes and manifested worse control of speed. Regarding pictogram VMS, we observed no differences in response distance, accuracy, response duration, or number of gazes. To sum up, the evidence provided reveals that adults with dyslexia, despite potential compensation effects, may still find difficulties reading text messages in VMS (shorter legibility distances, longer reading times, and increased cognitive effort), whereas we found no such differences in the recognition of pictograms (only some difficulties keeping a steady speed). Research on inclusive measures to improve reading in low-skilled or dyslexic drivers must be encouraged. Copyright © 2017 Elsevier Ltd. All rights reserved.

Aging and interference in story recall.

PubMed

Mund, Iris; Bell, Raoul; Buchner, Axel

2012-01-01

BACKGROUND/STUDY CONTEXT: According to inhibitory deficit theory, older adults should be more impaired by visual distractors than younger adults when reading texts. Studies using a multiple-choice recognition test to examine age differences in the impairment of text comprehension due to distractor words yielded inconsistent results. In the present study, younger participants and older participants were required to read short texts comprising unrelated, related, or no distractor words. Visual acuity was equated between groups. Text recall was assessed using a gist-based propositional scoring procedure. There were pronounced age differences in reading with distraction. Older adults were slowed down more than younger adults by the presence of distractor words when reading. Furthermore, older adults' story recall was clearly impaired by the presence of distractor material, whereas younger adults' recall performance was not. In addition, older adults were more likely to make intrusion errors. Consistent with inhibitory deficit theory, the findings suggest that older adults were less able than younger adults to establish a correct mental representation of the target text when distractors were present. Furthermore, older adults were more likely than younger adults to build up incorrect memory representations that comprise distractor concepts. Thus, there are pronounced age differences in the impairment of text comprehension by distracting information.

Memory retrieval of everyday information under stress.

PubMed

Stock, Lisa-Marie; Merz, Christian J

2018-07-01

Psychosocial stress is known to crucially influence learning and memory processes. Several studies have already shown an impairing effect of elevated cortisol concentrations on memory retrieval. These studies mainly used learning material consisting of stimuli with a limited ecological validity. When using material with a social contextual component or with educational relevant material both impairing and enhancing stress effects on memory retrieval could be observed. In line with these latter studies, the present experiment also used material with a higher ecological validity (a coherent text consisting of daily relevant numeric, figural and verbal information). After encoding, retrieval took place 24 h later after exposure to psychosocial stress or a control procedure (20 healthy men per group). The stress group was further subdivided into cortisol responders and non-responders. Results showed a significantly impaired retrieval of everyday information in non-responders compared to responders and controls. Altogether, the present findings indicate the need of an appropriate cortisol response for the successful memory retrieval of everyday information. Thus, the present findings suggest that cortisol increases - contrary to a stressful experience per se - seem to play a protective role for retrieving everyday information. Additionally, it could be speculated that the previously reported impairing stress effects on memory retrieval might depend on the used learning material. Copyright © 2018 Elsevier Inc. All rights reserved.

Systems Factorial Technology provides new insights on global-local information processing in autism spectrum disorders.

PubMed

Johnson, Shannon A; Blaha, Leslie M; Houpt, Joseph W; Townsend, James T

2010-02-01

Previous studies of global-local processing in autism spectrum disorders (ASDs) have indicated mixed findings, with some evidence of a local processing bias, or preference for detail-level information, and other results suggesting typical global advantage, or preference for the whole or gestalt. Findings resulting from this paradigm have been used to argue for or against a detail focused processing bias in ASDs, and thus have important theoretical implications. We applied Systems Factorial Technology, and the associated Double Factorial Paradigm (both defined in the text), to examine information processing characteristics during a divided attention global-local task in high-functioning individuals with an ASD and typically developing controls. Group data revealed global advantage for both groups, contrary to some current theories of ASDs. Information processing models applied to each participant revealed that task performance, although showing no differences at the group level, was supported by different cognitive mechanisms in ASD participants compared to controls. All control participants demonstrated inhibitory parallel processing and the majority demonstrated a minimum-time stopping rule. In contrast, ASD participants showed exhaustive parallel processing with mild facilitatory interactions between global and local information. Thus our results indicate fundamental differences in the stopping rules and channel dependencies in individuals with an ASD.

How to achieve informed consent for research from Spanish-speaking individuals with low literacy: a qualitative report.

PubMed

Cortés, Dharma E; Drainoni, Mari-Lynn; Henault, Lori E; Paasche-Orlow, Michael K

2010-01-01

Investigators have the responsibility to ensure that prospective participants are fully informed about a research protocol prior to consenting to participate, yet many researchers face challenges when obtaining consent, since the majority of the general population has limited or no familiarity with research studies. These challenges are further magnified when obtaining consent from individuals with low literacy levels and who speak languages other than English. In this article we present findings from a qualitative study conducted with Spanish-speaking individuals with low-literacy designed to refine the Agency for Healthcare Research and Quality's Informed Consent and Authorization Toolkit for Minimal Risk Research. Findings from this study indicate that familiarity with providing informed consent and authorization for research or the experience of being a research participant appear to play key roles in an individual's ability to understand the consent and authorization process. While the text of the consent and authorization documents can be simplified using plain language principles, comprehension of several fundamental ideas such as risk and privacy need to be safeguarded with a consent process that confirms comprehension. Recommendations are provided to address the informational needs of individuals with low literacy levels and limited or no experience with research participation.

Effect of age on variability in the production of text-based global inferences.

PubMed

Williams, Lynne J; Dunlop, Joseph P; Abdi, Hervé

2012-01-01

As we age, our differences in cognitive skills become more visible, an effect especially true for memory and problem solving skills (i.e., fluid intelligence). However, by contrast with fluid intelligence, few studies have examined variability in measures that rely on one's world knowledge (i.e., crystallized intelligence). The current study investigated whether age increased the variability in text based global inference generation--a measure of crystallized intelligence. Global inference generation requires the integration of textual information and world knowledge and can be expressed as a gist or lesson. Variability in generating two global inferences for a single text was examined in young-old (62 to 69 years), middle-old (70 to 76 years) and old-old (77 to 94 years) adults. The older two groups showed greater variability, with the middle elderly group being most variable. These findings suggest that variability may be a characteristic of both fluid and crystallized intelligence in aging.

Research on hotspot discovery in internet public opinions based on improved K-means.

PubMed

Wang, Gensheng

2013-01-01

How to discover hotspot in the Internet public opinions effectively is a hot research field for the researchers related which plays a key role for governments and corporations to find useful information from mass data in the Internet. An improved K-means algorithm for hotspot discovery in internet public opinions is presented based on the analysis of existing defects and calculation principle of original K-means algorithm. First, some new methods are designed to preprocess website texts, select and express the characteristics of website texts, and define the similarity between two website texts, respectively. Second, clustering principle and the method of initial classification centers selection are analyzed and improved in order to overcome the limitations of original K-means algorithm. Finally, the experimental results verify that the improved algorithm can improve the clustering stability and classification accuracy of hotspot discovery in internet public opinions when used in practice.

Research on Hotspot Discovery in Internet Public Opinions Based on Improved K-Means

PubMed Central

2013-01-01

How to discover hotspot in the Internet public opinions effectively is a hot research field for the researchers related which plays a key role for governments and corporations to find useful information from mass data in the Internet. An improved K-means algorithm for hotspot discovery in internet public opinions is presented based on the analysis of existing defects and calculation principle of original K-means algorithm. First, some new methods are designed to preprocess website texts, select and express the characteristics of website texts, and define the similarity between two website texts, respectively. Second, clustering principle and the method of initial classification centers selection are analyzed and improved in order to overcome the limitations of original K-means algorithm. Finally, the experimental results verify that the improved algorithm can improve the clustering stability and classification accuracy of hotspot discovery in internet public opinions when used in practice. PMID:24106496

Impact of Tobacco-Related Health Warning Labels across Socioeconomic, Race and Ethnic Groups: Results from a Randomized Web-Based Experiment

PubMed Central

Cantrell, Jennifer; Vallone, Donna M.; Thrasher, James F.; Nagler, Rebekah H.; Feirman, Shari P.; Muenz, Larry R.; He, David Y.; Viswanath, Kasisomayajula

2013-01-01

Background The U.S. Family Smoking Prevention and Tobacco Control Act of 2009 requires updating of the existing text-only health warning labels on tobacco packaging with nine new warning statements accompanied by pictorial images. Survey and experimental research in the U.S. and other countries supports the effectiveness of pictorial health warning labels compared with text-only warnings for informing smokers about the risks of smoking and encouraging cessation. Yet very little research has examined differences in reactions to warning labels by race/ethnicity, education or income despite evidence that population subgroups may differ in their ability to process health information. The purpose of the present study was to evaluate the potential impact of pictorial warning labels compared with text-only labels among U.S. adult smokers from diverse racial/ethnic and socioeconomic subgroups. Methods/Findings Participants were adult smokers recruited from two online research panels (n = 3,371) into a web-based experimental study to view either the new pictorial warnings or text-only warnings. Participants viewed the labels and reported their reactions. Adjusted regression models demonstrated significantly stronger reactions for the pictorial condition for each outcome salience (b = 0.62, p<.001); perceived impact (b = 0.44, p<.001); credibility (OR = 1.41, 95% CI = 1.22−1.62), and intention to quit (OR = 1.30, 95% CI = 1.10−1.53). No significant results were found for interactions between condition and race/ethnicity, education, or income. The only exception concerned the intention to quit outcome, where the condition-by-education interaction was nearly significant (p = 0.057). Conclusions Findings suggest that the greater impact of the pictorial warning label compared to the text-only warning is consistent across diverse racial/ethnic and socioeconomic populations. Given their great reach, pictorial health warning labels may be one of the few tobacco control policies that have the potential to reduce communication inequalities across groups. Policies that establish strong pictorial warning labels on tobacco packaging may be instrumental in reducing the toll of the tobacco epidemic, particularly within vulnerable communities. PMID:23341895

The Impact of Exposure and Explicit Instruction on Second Graders' Reading Comprehension and Recall of Informational Texts

ERIC Educational Resources Information Center

Ohlson, Tiffany

2011-01-01

The importance and inclusion of informational texts in primary-grade classrooms has been discussed at length in recent years. Few opportunities for primary-aged children to engage in activities or instruction concerning informational texts are provided. This lack of early exposure to informational texts may explain why many young children have…

[Research survey on the information gathering methods, attitudes, and requests from care managers about the pharmaceutical service by pharmacists in home care].

PubMed

Nanaumi, Yoko; Onda, Mitsuko; Sakurai, Hidehiko; Tanaka, Rie; Tsubota, Kenichi; Matoba, Shunya; Mukai, Yusuke; Arakawa, Yukio; Hayase, Yukitoshi

2011-01-01

Care Managers (CMs) were surveyed to clarify the issues involving the promotion of cooperation between care managers and pharmacists in long-term-care and explore solutions. The length of work experience, occupational background, experience of pharmaceutical service; pharmacist visit patients' home for providing medicine and pharmaceutical care into a care plan, degree of understanding on pharmaceutical service, and awareness of work involved in pharmaceutical service were studied to see whether there made differences in the requests from CMs for information on pharmacists and for information gathering methods. The χ(2) test was used to this end. The opinions and requests described by the CMs were validated through text mining. More CMs tended to obtain information and knowledge through training sessions and professional magazines than those who did so through cooperation with pharmacists on a practical level. However, the survey strongly indicated that CMs with high level of understanding and awareness of pharmaceutical service wished to obtain information on pharmacists through cooperation with them on a practical level, and CMs with low level of understanding and awareness of pharmaceutical service wished to obtain such information through training sessions and professional magazines. Results of text mining showed that CMs wished pharmacists to strengthen the cooperation with physicians and provide information on pharmaceutical service. These findings have led to the conclusion that the issues surrounding the promotion of cooperation between CMs and pharmacists centered around "work cooperation on a practical level" and "provision of information to CMs about the roles of pharmacies and pharmacists and their work."

NegBio: a high-performance tool for negation and uncertainty detection in radiology reports.

PubMed

Peng, Yifan; Wang, Xiaosong; Lu, Le; Bagheri, Mohammadhadi; Summers, Ronald; Lu, Zhiyong

2018-01-01

Negative and uncertain medical findings are frequent in radiology reports, but discriminating them from positive findings remains challenging for information extraction. Here, we propose a new algorithm, NegBio, to detect negative and uncertain findings in radiology reports. Unlike previous rule-based methods, NegBio utilizes patterns on universal dependencies to identify the scope of triggers that are indicative of negation or uncertainty. We evaluated NegBio on four datasets, including two public benchmarking corpora of radiology reports, a new radiology corpus that we annotated for this work, and a public corpus of general clinical texts. Evaluation on these datasets demonstrates that NegBio is highly accurate for detecting negative and uncertain findings and compares favorably to a widely-used state-of-the-art system NegEx (an average of 9.5% improvement in precision and 5.1% in F1-score). https://github.com/ncbi-nlp/NegBio.

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

PubMed

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

2009-01-06

Biomedical scientists need to access figures to validate research facts and to formulate or to test novel research hypotheses. However, figures are difficult to comprehend without associated text (e.g., figure legend and other reference text). We are developing automated systems to extract the relevant explanatory information along with figures extracted from full text articles. Such systems could be very useful in improving figure retrieval and in reducing the workload of biomedical scientists, who otherwise have to retrieve and read the entire full-text journal article to determine which figures are relevant to their research. As a crucial step, we studied the importance of associated text in biomedical figure comprehension. Twenty subjects evaluated three figure-text combinations: figure+legend, figure+legend+title+abstract, and figure+full-text. Using a Likert scale, each subject scored each figure+text according to the extent to which the subject thought he/she understood the meaning of the figure and the confidence in providing the assigned score. Additionally, each subject entered a free text summary for each figure-text. We identified missing information using indicator words present within the text summaries. Both the Likert scores and the missing information were statistically analyzed for differences among the figure-text types. We also evaluated the quality of text summaries with the text-summarization evaluation method the ROUGE score. Our results showed statistically significant differences in figure comprehension when varying levels of text were provided. When the full-text article is not available, presenting just the figure+legend left biomedical researchers lacking 39-68% of the information about a figure as compared to having complete figure comprehension; adding the title and abstract improved the situation, but still left biomedical researchers missing 30% of the information. When the full-text article is available, figure comprehension increased to 86-97%; this indicates that researchers felt that only 3-14% of the necessary information for full figure comprehension was missing when full text was available to them. Clearly there is information in the abstract and in the full text that biomedical scientists deem important for understanding the figures that appear in full-text biomedical articles. We conclude that the texts that appear in full-text biomedical articles are useful for understanding the meaning of a figure, and an effective figure-mining system needs to unlock the information beyond figure legend. Our work provides important guidance to the figure mining systems that extract information only from figure and figure legend.

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

PubMed Central

2009-01-01

Background Biomedical scientists need to access figures to validate research facts and to formulate or to test novel research hypotheses. However, figures are difficult to comprehend without associated text (e.g., figure legend and other reference text). We are developing automated systems to extract the relevant explanatory information along with figures extracted from full text articles. Such systems could be very useful in improving figure retrieval and in reducing the workload of biomedical scientists, who otherwise have to retrieve and read the entire full-text journal article to determine which figures are relevant to their research. As a crucial step, we studied the importance of associated text in biomedical figure comprehension. Methods Twenty subjects evaluated three figure-text combinations: figure+legend, figure+legend+title+abstract, and figure+full-text. Using a Likert scale, each subject scored each figure+text according to the extent to which the subject thought he/she understood the meaning of the figure and the confidence in providing the assigned score. Additionally, each subject entered a free text summary for each figure-text. We identified missing information using indicator words present within the text summaries. Both the Likert scores and the missing information were statistically analyzed for differences among the figure-text types. We also evaluated the quality of text summaries with the text-summarization evaluation method the ROUGE score. Results Our results showed statistically significant differences in figure comprehension when varying levels of text were provided. When the full-text article is not available, presenting just the figure+legend left biomedical researchers lacking 39–68% of the information about a figure as compared to having complete figure comprehension; adding the title and abstract improved the situation, but still left biomedical researchers missing 30% of the information. When the full-text article is available, figure comprehension increased to 86–97%; this indicates that researchers felt that only 3–14% of the necessary information for full figure comprehension was missing when full text was available to them. Clearly there is information in the abstract and in the full text that biomedical scientists deem important for understanding the figures that appear in full-text biomedical articles. Conclusion We conclude that the texts that appear in full-text biomedical articles are useful for understanding the meaning of a figure, and an effective figure-mining system needs to unlock the information beyond figure legend. Our work provides important guidance to the figure mining systems that extract information only from figure and figure legend. PMID:19126221

Creating and Using Culturally Sustaining Informational Texts

ERIC Educational Resources Information Center

Watanabe Kganetso, Lynne M.

2017-01-01

Current standards and assessments emphasize the importance of a variety of genres in students' literacy diets, which has placed increased attention on informational texts. Unfortunately, young students' current exposure to and experiences with informational texts are often limited by the texts' availability, quality, and relevance to children's…

"Really," "Not Possible," "I Can't Believe It": Exploring Informational Text in Literature Circles

ERIC Educational Resources Information Center

Barone, Diane; Barone, Rebecca

2016-01-01

Fifth graders' interpretations of nonfiction or informational text were explored. Each literature circle group read and responded to informational text. Discoveries included that students' conversations and written responses were closely connected to text and that students created multimodal responses.

Informational Text and the CCSS

ERIC Educational Resources Information Center

Aspen Institute, 2012

2012-01-01

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

Website Designs for Communicating About Chemicals in Cigarette Smoke.

PubMed

Lazard, Allison J; Byron, M Justin; Vu, Huyen; Peters, Ellen; Schmidt, Annie; Brewer, Noel T

2017-12-13

The Family Smoking Prevention and Tobacco Control Act requires the US government to inform the public about the quantities of toxic chemicals in cigarette smoke. A website can accomplish this task efficiently, but the site's user interface must be usable to benefit the general public. We conducted online experiments with national convenience samples of 1,451 US adult smokers and nonsmokers to examine the impact of four interface display elements: the chemicals, their associated health effects, quantity information, and a visual risk indicator. Outcomes were perceptions of user experience (perceived clarity and usability), motivation (willingness to use), and potential impact (elaboration about the harms of smoking). We found displaying health effects as text with icons, providing quantity information for chemicals (e.g., ranges), and showing a visual risk indicator all improved the user experience of a webpage about chemicals in cigarette smoke (all p < .05). Displaying a combination of familiar and unfamiliar chemicals, providing quantity information for chemicals, and showing a visual risk indicator all improved motivation to use the webpage (all p < .05). Displaying health effects or quantity information increased the potential impact of the webpage (all p < .05). Overall, interface designs displaying health effects of chemicals in cigarette smoke as text with icons and with a visual risk indicator had the greatest impact on the user experience, motivation, and potential impact of the website. Our findings provide guidance for accessible website designs that can inform consumers about the toxic chemicals in cigarette smoke.

Foundations of Full Text Electronic Information Delivery Systems. Implications for Information Professionals.

ERIC Educational Resources Information Center

Kibirige, Harry M.

Information has become an increasingly valuable commodity. Access to full-text information, containing text, images, and in some cases, sound, is becoming vital to decision-making for organizations as well as individuals. The book covers the following topics: (1) the information marketplace in a cyberculture; (2) the telecommunications foundation…

Supporting the education evidence portal via text mining

PubMed Central

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

A semantic model for multimodal data mining in healthcare information systems.

PubMed

Iakovidis, Dimitris; Smailis, Christos

2012-01-01

Electronic health records (EHRs) are representative examples of multimodal/multisource data collections; including measurements, images and free texts. The diversity of such information sources and the increasing amounts of medical data produced by healthcare institutes annually, pose significant challenges in data mining. In this paper we present a novel semantic model that describes knowledge extracted from the lowest-level of a data mining process, where information is represented by multiple features i.e. measurements or numerical descriptors extracted from measurements, images, texts or other medical data, forming multidimensional feature spaces. Knowledge collected by manual annotation or extracted by unsupervised data mining from one or more feature spaces is modeled through generalized qualitative spatial semantics. This model enables a unified representation of knowledge across multimodal data repositories. It contributes to bridging the semantic gap, by enabling direct links between low-level features and higher-level concepts e.g. describing body parts, anatomies and pathological findings. The proposed model has been developed in web ontology language based on description logics (OWL-DL) and can be applied to a variety of data mining tasks in medical informatics. It utility is demonstrated for automatic annotation of medical data.

A Selective Deficit in Phonetic Recalibration by Text in Developmental Dyslexia.

PubMed

Keetels, Mirjam; Bonte, Milene; Vroomen, Jean

2018-01-01

Upon hearing an ambiguous speech sound, listeners may adjust their perceptual interpretation of the speech input in accordance with contextual information, like accompanying text or lipread speech (i.e., phonetic recalibration; Bertelson et al., 2003). As developmental dyslexia (DD) has been associated with reduced integration of text and speech sounds, we investigated whether this deficit becomes manifest when text is used to induce this type of audiovisual learning. Adults with DD and normal readers were exposed to ambiguous consonants halfway between /aba/ and /ada/ together with text or lipread speech. After this audiovisual exposure phase, they categorized auditory-only ambiguous test sounds. Results showed that individuals with DD, unlike normal readers, did not use text to recalibrate their phoneme categories, whereas their recalibration by lipread speech was spared. Individuals with DD demonstrated similar deficits when ambiguous vowels (halfway between /wIt/ and /wet/) were recalibrated by text. These findings indicate that DD is related to a specific letter-speech sound association deficit that extends over phoneme classes (vowels and consonants), but - as lipreading was spared - does not extend to a more general audio-visual integration deficit. In particular, these results highlight diminished reading-related audiovisual learning in addition to the commonly reported phonological problems in developmental dyslexia.

Understanding the psychological precursors of young drivers' willingness to speed and text while driving.

PubMed

Preece, Carissa; Watson, Angela; Kaye, Sherrie-Anne; Fleiter, Judy

2018-08-01

This study applied the Prototype Willingness Model (PWM) to investigate the factors that may predict young drivers' (non-intentional) willingness to text while driving, text while stopped, and engage in high and low levels of speeding. In addition, the study sought to assess whether general optimism bias would predict young drivers' willingness to text and speed over and above the PWM. Licenced drivers (N = 183) aged 17-25 years (M = 19.84, SD = 2.30) in Queensland, Australia completed an online survey. Hierarchical multiple regressions revealed that the PWM was effective in explaining the variance in willingness to perform all four illegal driving behaviours. Particularly, young drivers who possessed favourable attitudes and a positive prototype perception towards these behaviours were more willing to engage in texting and speeding. In contrast to the study's predictions, optimistically biased beliefs decreased young drivers' willingness to text while stopped and engage in high and low levels of speeding. The findings of the study may help inform policy and educational campaigns to better target risky driving behaviours by considering the influence of attitudes, prototypes and the non-intentional pathway that may lead to engagement in texting while driving and stopped and engagement in high and low levels of speeding. Copyright © 2018 Elsevier Ltd. All rights reserved.

Examining the Reading of Informational Text in 4th Grade Class and Its Relation with Students' Reading Performance

ERIC Educational Resources Information Center

Li, Dan; Beecher, Constance; Cho, Byeong-Young

2018-01-01

Being proficient in independently reading and writing complex informational text has become a need for college and career success. While there is a great deal of agreement on the importance of the reading of informational text in early grades and teachers are encouraged to increase amount of the reading of informational text in early grades, few…

Variaciones polarimétricas en asteroides debidas a rotación

NASA Astrophysics Data System (ADS)

Mesa, V.; Gil-Hutton, R.

The different characteristics of asteroidal surfaces could be studied record- ing the polarimetric variations during a rotational cycle of the object. Since different relations between polarimetric and physical (rugosity, porosity, taxonomy, albedo) parameters exist, it is possible to find information about the physical property responsible of the polarimetric variation. In this pa- per, a study of the polarimetric variations observed on the asteroids (11) Parthenope and (16) Psyche are presented. FULL TEXT IN SPANISH

Systemic Functional Linguistics and Discourse Analysis as Alternatives When Dealing with Texts (La lingüística sistémica funcional y el análisis del discurso como alternativas para trabajar con textos)

ERIC Educational Resources Information Center

García Montes, Paula Andrea; Sagre Barboza, Ana María; Lacharme Olascoaga, Alba Isabel

2014-01-01

This article presents a case study research with aims to find out which activities, methodological and textual aspects used in a reading strategies course were causing a group of students difficulties when analyzing critically written information. We conducted the study at Universidad de Córdoba (Colombia) with seventh semester students from the…

Evaluation of five full-text drug databases by pharmacy students, faculty, and librarians: do the groups agree?

PubMed

Kupferberg, Natalie; Jones Hartel, Lynda

2004-01-01

The purpose of this study is to assess the usefulness of five full-text drug databases as evaluated by medical librarians, pharmacy faculty, and pharmacy students at an academic health center. Study findings and recommendations are offered as guidance to librarians responsible for purchasing decisions. Four pharmacy students, four pharmacy faculty members, and four medical librarians answered ten drug information questions using the databases AHFS Drug Information (STAT!Ref); DRUGDEX (Micromedex); eFacts (Drug Facts and Comparisons); Lexi-Drugs Online (Lexi-Comp); and the PDR Electronic Library (Micromedex). Participants noted whether each database contained answers to the questions and evaluated each database on ease of navigation, screen readability, overall satisfaction, and product recommendation. While each study group found that DRUGDEX provided the most direct answers to the ten questions, faculty members gave Lexi-Drugs the highest overall rating. Students favored eFacts. The faculty and students found the PDR least useful. Librarians ranked DRUGDEX the highest and AHFS the lowest. The comments of pharmacy faculty and students show that these groups preferred concise, easy-to-use sources; librarians focused on the comprehensiveness, layout, and supporting references of the databases. This study demonstrates the importance of consulting with primary clientele before purchasing databases. Although there are many online drug databases to consider, present findings offer strong support for eFacts, Lexi-Drugs, and DRUGDEX.

Evaluation of five full-text drug databases by pharmacy students, faculty, and librarians: do the groups agree?

PubMed Central

Kupferberg, Natalie; Hartel, Lynda Jones

2004-01-01

Objectives: The purpose of this study is to assess the usefulness of five full-text drug databases as evaluated by medical librarians, pharmacy faculty, and pharmacy students at an academic health center. Study findings and recommendations are offered as guidance to librarians responsible for purchasing decisions. Methods: Four pharmacy students, four pharmacy faculty members, and four medical librarians answered ten drug information questions using the databases AHFS Drug Information (STAT!Ref); DRUGDEX (Micromedex); eFacts (Drug Facts and Comparisons); Lexi-Drugs Online (Lexi-Comp); and the PDR Electronic Library (Micromedex). Participants noted whether each database contained answers to the questions and evaluated each database on ease of navigation, screen readability, overall satisfaction, and product recommendation. Results: While each study group found that DRUGDEX provided the most direct answers to the ten questions, faculty members gave Lexi-Drugs the highest overall rating. Students favored eFacts. The faculty and students found the PDR least useful. Librarians ranked DRUGDEX the highest and AHFS the lowest. The comments of pharmacy faculty and students show that these groups preferred concise, easy-to-use sources; librarians focused on the comprehensiveness, layout, and supporting references of the databases. Conclusion: This study demonstrates the importance of consulting with primary clientele before purchasing databases. Although there are many online drug databases to consider, present findings offer strong support for eFacts, Lexi-Drugs, and DRUGDEX. PMID:14762464

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

PubMed Central

Kreula, Sanna M.; Kaewphan, Suwisa; Ginter, Filip

2018-01-01

The increasing move towards open access full-text scientific literature enhances our ability to utilize advanced text-mining methods to construct information-rich networks that no human will be able to grasp simply from ‘reading the literature’. The utility of text-mining for well-studied species is obvious though the utility for less studied species, or those with no prior track-record at all, is not clear. Here we present a concept for how advanced text-mining can be used to create information-rich networks even for less well studied species and apply it to generate an open-access gene-gene association network resource for Synechocystis sp. PCC 6803, a representative model organism for cyanobacteria and first case-study for the methodology. By merging the text-mining network with networks generated from species-specific experimental data, network integration was used to enhance the accuracy of predicting novel interactions that are biologically relevant. A rule-based algorithm (filter) was constructed in order to automate the search for novel candidate genes with a high degree of likely association to known target genes by (1) ignoring established relationships from the existing literature, as they are already ‘known’, and (2) demanding multiple independent evidences for every novel and potentially relevant relationship. Using selected case studies, we demonstrate the utility of the network resource and filter to (i) discover novel candidate associations between different genes or proteins in the network, and (ii) rapidly evaluate the potential role of any one particular gene or protein. The full network is provided as an open-source resource. PMID:29844966

Text to Quit China: An mHealth Smoking Cessation Trial.

PubMed

Augustson, Erik; Engelgau, Michael M; Zhang, Shu; Cai, Ying; Cher, Willie; Li, Richun; Jiang, Yuan; Lynch, Krystal; Bromberg, Julie E

2017-05-01

To assess the feasibility, acceptability, and efficacy of a text message-based smoking cessation intervention in China. Study design was a randomized control trial with a 6-month follow-up assessment of smoking status. Zhejiang, Heilongjiang, and Shaanxi provinces in China provided the study setting. A total of 8000 adult smokers in China who used Nokia Life Tools and participated in phase 2 (smoking education via text message) of the study were included. The high-frequency text contact (HFTC) group received one to three messages daily containing smoking cessation advice, encouragement, and health education information. The low-frequency text contact (LFTC) group received one weekly message with smoking health effects information. Our primary outcome was smoking status at 0, 1, 3, and 6 months after intervention. Secondary outcomes include participant perceptions of the HFTC intervention, and factors associated with smoking cessation among HFTC participants. Descriptive and χ 2 analyses were conducted to assess smoking status and acceptability. Factors associated with quitting were assessed using multiple logistic regression analyses. Quit rates were high in both the HFTC and LFTC groups (HFTC: 0 month, 27.9%; 1 month, 30.5%; 3 months, 26.7%; and 6 months, 27.7%; LFTC: 0 month, 26.7%; 1 month, 30.4%; 3 months, 28.1%; and 6 months, 27.7%), with no significant difference between the two groups in an intent-to-treat analysis. Attitudes toward the HFTC intervention were largely positive. Our findings suggest that a text message-based smoking cessation intervention can be successfully delivered in China and is acceptable to Chinese smokers, but further research is needed to assess the potential impact of this type of intervention.

BioTextQuest(+): a knowledge integration platform for literature mining and concept discovery.

PubMed

Papanikolaou, Nikolas; Pavlopoulos, Georgios A; Pafilis, Evangelos; Theodosiou, Theodosios; Schneider, Reinhard; Satagopam, Venkata P; Ouzounis, Christos A; Eliopoulos, Aristides G; Promponas, Vasilis J; Iliopoulos, Ioannis

2014-11-15

The iterative process of finding relevant information in biomedical literature and performing bioinformatics analyses might result in an endless loop for an inexperienced user, considering the exponential growth of scientific corpora and the plethora of tools designed to mine PubMed(®) and related biological databases. Herein, we describe BioTextQuest(+), a web-based interactive knowledge exploration platform with significant advances to its predecessor (BioTextQuest), aiming to bridge processes such as bioentity recognition, functional annotation, document clustering and data integration towards literature mining and concept discovery. BioTextQuest(+) enables PubMed and OMIM querying, retrieval of abstracts related to a targeted request and optimal detection of genes, proteins, molecular functions, pathways and biological processes within the retrieved documents. The front-end interface facilitates the browsing of document clustering per subject, the analysis of term co-occurrence, the generation of tag clouds containing highly represented terms per cluster and at-a-glance popup windows with information about relevant genes and proteins. Moreover, to support experimental research, BioTextQuest(+) addresses integration of its primary functionality with biological repositories and software tools able to deliver further bioinformatics services. The Google-like interface extends beyond simple use by offering a range of advanced parameterization for expert users. We demonstrate the functionality of BioTextQuest(+) through several exemplary research scenarios including author disambiguation, functional term enrichment, knowledge acquisition and concept discovery linking major human diseases, such as obesity and ageing. The service is accessible at http://bioinformatics.med.uoc.gr/biotextquest. g.pavlopoulos@gmail.com or georgios.pavlopoulos@esat.kuleuven.be Supplementary data are available at Bioinformatics online. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Districts Gear up for Shift to Informational Texts

ERIC Educational Resources Information Center

Gewertz, Catherine

2012-01-01

The Common Core State Standards' emphasis on informational text arose in part from research suggesting that employers and college instructors found students weak at comprehending technical manuals, scientific and historical journals, and other texts pivotal to work in those arenas. The common core's vision of informational text includes literary…

"Why did you really do it?" A mixed-method analysis of the factors underpinning motivations to register as a body donor.

PubMed

Cornwall, Jon; Poppelwell, Zoe; McManus, Ruth

2018-05-15

Individuals who register as body donors do so for various reasons, with aiding medical science a common motivation. Despite awareness of several key reasons for donation, there are few in-depth explorations of these motivations to contextualize persons' reasons for donating. This study undertakes a mixed-method exploration of motivations for body donation to facilitate deeper understanding of the reasons underpinning donor registration. A survey of all newly registered body donors at a New Zealand university was performed over a single year. The survey included basic demographic information, a categorical question on reason for donation, a free-text question on donation motivation, and a free-text question allowing "other" comments on body donation. Basic statistical analysis was performed on demographic and categorical data, and thematic analysis used on free-text responses. From 169 registrants, 126 people (average age 70.5 years; 72 female) returned completed surveys (response rate 75%). Categorical data indicate a primary motivation of aiding medical science (86%). Fifty-one respondents (40%) provided free-text data on motivation, with other comments related to motivation provided by forty-one (33%). Common themes included reference to usefulness, uniqueness (pathophysiology and anatomy), gift-giving, kinship, and impermanence of the physical body. Consistent with previous studies, the primary reason for body donation was aiding medical science, however underpinning this was a complex layer of themes and sub-themes shaping motivations for choices. Findings provide important information that can guide development of robust informed consent processes, aid appropriate thanksgiving service delivery, and further contextualize the importance of medical professionals in body donation culture. Anat Sci Educ. © 2018 American Association of Anatomists. © 2018 American Association of Anatomists.

The effect of patient narratives on information search in a web-based breast cancer decision aid: an eye-tracking study.

PubMed

Shaffer, Victoria A; Owens, Justin; Zikmund-Fisher, Brian J

2013-12-17

Previous research has examined the impact of patient narratives on treatment choices, but to our knowledge, no study has examined the effect of narratives on information search. Further, no research has considered the relative impact of their format (text vs video) on health care decisions in a single study. Our goal was to examine the impact of video and text-based narratives on information search in a Web-based patient decision aid for early stage breast cancer. Fifty-six women were asked to imagine that they had been diagnosed with early stage breast cancer and needed to choose between two surgical treatments (lumpectomy with radiation or mastectomy). Participants were randomly assigned to view one of four versions of a Web decision aid. Two versions of the decision aid included videos of interviews with patients and physicians or videos of interviews with physicians only. To distinguish between the effect of narratives and the effect of videos, we created two text versions of the Web decision aid by replacing the patient and physician interviews with text transcripts of the videos. Participants could freely browse the Web decision aid until they developed a treatment preference. We recorded participants' eye movements using the Tobii 1750 eye-tracking system equipped with Tobii Studio software. A priori, we defined 24 areas of interest (AOIs) in the Web decision aid. These AOIs were either separate pages of the Web decision aid or sections within a single page covering different content. We used multilevel modeling to examine the effect of narrative presence, narrative format, and their interaction on information search. There was a significant main effect of condition, P=.02; participants viewing decision aids with patient narratives spent more time searching for information than participants viewing the decision aids without narratives. The main effect of format was not significant, P=.10. However, there was a significant condition by format interaction on fixation duration, P<.001. When comparing the two video decision aids, participants viewing the narrative version spent more time searching for information than participants viewing the control version of the decision aid. In contrast, participants viewing the narrative version of the text decision aid spent less time searching for information than participants viewing the control version of the text decision aid. Further, narratives appear to have a global effect on information search; these effects were not limited to specific sections of the decision aid that contained topics discussed in the patient stories. The observed increase in fixation duration with video patient testimonials is consistent with the idea that the vividness of the video content could cause greater elaboration of the message, thereby encouraging greater information search. Conversely, because reading requires more effortful processing than watching, reading patient narratives may have decreased participant motivation to engage in more reading in the remaining sections of the Web decision aid. These findings suggest that the format of patient stories may be equally as important as their content in determining their effect on decision making. More research is needed to understand why differences in format result in fundamental differences in information search.

Exploration and exploitation of Victorian science in Darwin's reading notebooks.

PubMed

Murdock, Jaimie; Allen, Colin; DeDeo, Simon

2017-02-01

Search in an environment with an uncertain distribution of resources involves a trade-off between exploitation of past discoveries and further exploration. This extends to information foraging, where a knowledge-seeker shifts between reading in depth and studying new domains. To study this decision-making process, we examine the reading choices made by one of the most celebrated scientists of the modern era: Charles Darwin. From the full-text of books listed in his chronologically-organized reading journals, we generate topic models to quantify his local (text-to-text) and global (text-to-past) reading decisions using Kullback-Liebler Divergence, a cognitively-validated, information-theoretic measure of relative surprise. Rather than a pattern of surprise-minimization, corresponding to a pure exploitation strategy, Darwin's behavior shifts from early exploitation to later exploration, seeking unusually high levels of cognitive surprise relative to previous eras. These shifts, detected by an unsupervised Bayesian model, correlate with major intellectual epochs of his career as identified both by qualitative scholarship and Darwin's own self-commentary. Our methods allow us to compare his consumption of texts with their publication order. We find Darwin's consumption more exploratory than the culture's production, suggesting that underneath gradual societal changes are the explorations of individual synthesis and discovery. Our quantitative methods advance the study of cognitive search through a framework for testing interactions between individual and collective behavior and between short- and long-term consumption choices. This novel application of topic modeling to characterize individual reading complements widespread studies of collective scientific behavior. Copyright © 2016 Elsevier B.V. All rights reserved.

State-of-the-art Anonymization of Medical Records Using an Iterative Machine Learning Framework

PubMed Central

Szarvas, György; Farkas, Richárd; Busa-Fekete, Róbert

2007-01-01

Objective The anonymization of medical records is of great importance in the human life sciences because a de-identified text can be made publicly available for non-hospital researchers as well, to facilitate research on human diseases. Here the authors have developed a de-identification model that can successfully remove personal health information (PHI) from discharge records to make them conform to the guidelines of the Health Information Portability and Accountability Act. Design We introduce here a novel, machine learning-based iterative Named Entity Recognition approach intended for use on semi-structured documents like discharge records. Our method identifies PHI in several steps. First, it labels all entities whose tags can be inferred from the structure of the text and it then utilizes this information to find further PHI phrases in the flow text parts of the document. Measurements Following the standard evaluation method of the first Workshop on Challenges in Natural Language Processing for Clinical Data, we used token-level Precision, Recall and Fβ=1 measure metrics for evaluation. Results Our system achieved outstanding accuracy on the standard evaluation dataset of the de-identification challenge, with an F measure of 99.7534% for the best submitted model. Conclusion We can say that our system is competitive with the current state-of-the-art solutions, while we describe here several techniques that can be beneficial in other tasks that need to handle structured documents such as clinical records. PMID:17823086

Automated identification of wound information in clinical notes of patients with heart diseases: Developing and validating a natural language processing application.

PubMed

Topaz, Maxim; Lai, Kenneth; Dowding, Dawn; Lei, Victor J; Zisberg, Anna; Bowles, Kathryn H; Zhou, Li

2016-12-01

Electronic health records are being increasingly used by nurses with up to 80% of the health data recorded as free text. However, only a few studies have developed nursing-relevant tools that help busy clinicians to identify information they need at the point of care. This study developed and validated one of the first automated natural language processing applications to extract wound information (wound type, pressure ulcer stage, wound size, anatomic location, and wound treatment) from free text clinical notes. First, two human annotators manually reviewed a purposeful training sample (n=360) and random test sample (n=1100) of clinical notes (including 50% discharge summaries and 50% outpatient notes), identified wound cases, and created a gold standard dataset. We then trained and tested our natural language processing system (known as MTERMS) to process the wound information. Finally, we assessed our automated approach by comparing system-generated findings against the gold standard. We also compared the prevalence of wound cases identified from free-text data with coded diagnoses in the structured data. The testing dataset included 101 notes (9.2%) with wound information. The overall system performance was good (F-measure is a compiled measure of system's accuracy=92.7%), with best results for wound treatment (F-measure=95.7%) and poorest results for wound size (F-measure=81.9%). Only 46.5% of wound notes had a structured code for a wound diagnosis. The natural language processing system achieved good performance on a subset of randomly selected discharge summaries and outpatient notes. In more than half of the wound notes, there were no coded wound diagnoses, which highlight the significance of using natural language processing to enrich clinical decision making. Our future steps will include expansion of the application's information coverage to other relevant wound factors and validation of the model with external data. Copyright © 2016 Elsevier Ltd. All rights reserved.

Online inferential and textual processing by adolescents with attention-deficit/hyperactivity disorder during reading comprehension: Evidence from a probing method.

PubMed

Yeari, Menahem; Avramovich, Adi; Schiff, Rachel

2017-06-01

Previous studies have demonstrated that students with attention-deficit/hyperactivity disorder (ADHD) struggle particularly with grasping the implicit, inferential level of narratives that is crucial for story comprehension. However, these studies used offline tasks (i.e., after story presentation), used indirect measurements (e.g., identifying main ideas), and/or yielded inconclusive results using think-aloud techniques. Moreover, most studies were conducted with preschool or elementary school children with ADHD, using listening or televised story comprehension. In this study, we were interested in examining the spontaneous, immediate activation and/or suppression of forward-predictive inferences, backward-explanatory inferences, and inference-evoking textual information, as they occur online during reading comprehension by adolescents with ADHD. Participants with and without ADHD read short narrative texts, each of which included a predictive sentence, a bridging sentence that referred back to the predictive sentence via actualization of the predicted event, and two intervening sentences positioned between the predictive and bridging sentences that introduced a temporary transition from the main (predictive) episode. Activation and suppression of inferential and/or textual information were assessed using naming times of word probes that were implied by the preceding text, explicitly mentioned in it, or neither when following control texts. In some cases, a true-false inferential or textual question followed the probe. Naming facilitations were observed for the control but not for the ADHD group, in responding to inference probes that followed the predictive and bridging sentences, and to text probes that followed the predictive sentences. Participants with ADHD were accurate, albeit slower, than controls in answering the true-false questions. Adolescents with ADHD have difficulties in generating predictive and explanatory inferences and in retaining relevant textual information in working memory while reading, although they can answer questions after reading when texts are relatively short. These findings are discussed with regard to development of comprehension strategies for individuals with ADHD.

Informational Text Comprehension: Its Challenges and How Collaborative Strategic Reading Can Help

ERIC Educational Resources Information Center

McCown, Margaret Averill; Thomason, Gina B.

2014-01-01

With the increased emphasis on informational text with Common Core State Standards and the difficulty many students have with this type of text, this study examined the effects of Collaborative Strategic Reading (CSR) on informational text comprehension and metacognitive awareness of fifth grade students. Participating students included a…

Scene text detection by leveraging multi-channel information and local context

NASA Astrophysics Data System (ADS)

Wang, Runmin; Qian, Shengyou; Yang, Jianfeng; Gao, Changxin

2018-03-01

As an important information carrier, texts play significant roles in many applications. However, text detection in unconstrained scenes is a challenging problem due to cluttered backgrounds, various appearances, uneven illumination, etc.. In this paper, an approach based on multi-channel information and local context is proposed to detect texts in natural scenes. According to character candidate detection plays a vital role in text detection system, Maximally Stable Extremal Regions(MSERs) and Graph-cut based method are integrated to obtain the character candidates by leveraging the multi-channel image information. A cascaded false positive elimination mechanism are constructed from the perspective of the character and the text line respectively. Since the local context information is very valuable for us, these information is utilized to retrieve the missing characters for boosting the text detection performance. Experimental results on two benchmark datasets, i.e., the ICDAR 2011 dataset and the ICDAR 2013 dataset, demonstrate that the proposed method have achieved the state-of-the-art performance.

Gaze patterns reveal how situation models and text representations contribute to episodic text memory.

PubMed

Johansson, Roger; Oren, Franziska; Holmqvist, Kenneth

2018-06-01

When recalling something you have previously read, to what degree will such episodic remembering activate a situation model of described events versus a memory representation of the text itself? The present study was designed to address this question by recording eye movements of participants who recalled previously read texts while looking at a blank screen. An accumulating body of research has demonstrated that spontaneous eye movements occur during episodic memory retrieval and that fixation locations from such gaze patterns to a large degree overlap with the visuospatial layout of the recalled information. Here we used this phenomenon to investigate to what degree participants' gaze patterns corresponded with the visuospatial configuration of the text itself versus a visuospatial configuration described in it. The texts to be recalled were scene descriptions, where the spatial configuration of the scene content was manipulated to be either congruent or incongruent with the spatial configuration of the text itself. Results show that participants' gaze patterns were more likely to correspond with a visuospatial representation of the described scene than with a visuospatial representation of the text itself, but also that the contribution of those representations of space is sensitive to the text content. This is the first demonstration that eye movements can be used to discriminate on which representational level texts are remembered and the findings provide novel insight into the underlying dynamics in play. Copyright © 2018 Elsevier B.V. All rights reserved.

Text messaging to communicate with public health audiences: how the HIPAA Security Rule affects practice.

PubMed

Karasz, Hilary N; Eiden, Amy; Bogan, Sharon

2013-04-01

Text messaging is a powerful communication tool for public health purposes, particularly because of the potential to customize messages to meet individuals' needs. However, using text messaging to send personal health information requires analysis of laws addressing the protection of electronic health information. The Health Insurance Portability and Accountability Act (HIPAA) Security Rule is written with flexibility to account for changing technologies. In practice, however, the rule leads to uncertainty about how to make text messaging policy decisions. Text messaging to send health information can be implemented in a public health setting through 2 possible approaches: restructuring text messages to remove personal health information and retaining limited personal health information in the message but conducting a risk analysis and satisfying other requirements to meet the HIPAA Security Rule.

[Systematic Readability Analysis of Medical Texts on Websites of German University Clinics for General and Abdominal Surgery].

PubMed

Esfahani, B Janghorban; Faron, A; Roth, K S; Grimminger, P P; Luers, J C

2016-12-01

Background: Besides the function as one of the main contact points, websites of hospitals serve as medical information portals. As medical information texts should be understood by any patients independent of the literacy skills and educational level, online texts should have an appropriate structure to ease understandability. Materials and Methods: Patient information texts on websites of clinics for general surgery at German university hospitals (n = 36) were systematically analysed. For 9 different surgical topics representative medical information texts were extracted from each website. Using common readability tools and 5 different readability indices the texts were analysed concerning their readability and structure. The analysis was furthermore stratified in relation to geographical regions in Germany. Results: For the definite analysis the texts of 196 internet websites could be used. On average the texts consisted of 25 sentences and 368 words. The reading analysis tools congruously showed that all texts showed a rather low readability demanding a high literacy level from the readers. Conclusion: Patient information texts on German university hospital websites are difficult to understand for most patients. To fulfill the ambition of informing the general population in an adequate way about medical issues, a revision of most medical texts on websites of German surgical hospitals is recommended. Georg Thieme Verlag KG Stuttgart · New York.

Diagrams increase the recall of nondepicted text when understanding is also increased.

PubMed

Serra, Michael J

2010-02-01

Multimedia presentations typically produce better memory and understanding than do single-medium presentations. Little research, however, has considered the effect of multimedia on memory for nonmultimedia information within a large multimedia presentation (e.g., nondepicted text in a large text with diagrams). To this end, the present two experiments compared memory for target text information that was either depicted in diagrams or not. Participants (n = 180) studied either a text-only version of a text about lightning or a text-with-diagrams version in which half the target information was depicted in diagrams. Memory was tested with both free recall and cued recall questions. Overall, diagrams did not affect memory for the entire text; diagrams increased memory only for the information they depicted. Diagrams exerted a generalized effect on free recall only when diagrams increased the overall understanding of the text (i.e., when the participants studied the materials twice before the test).

Context-based electronic health record: toward patient specific healthcare.

PubMed

Hsu, William; Taira, Ricky K; El-Saden, Suzie; Kangarloo, Hooshang; Bui, Alex A T

2012-03-01

Due to the increasingly data-intensive clinical environment, physicians now have unprecedented access to detailed clinical information from a multitude of sources. However, applying this information to guide medical decisions for a specific patient case remains challenging. One issue is related to presenting information to the practitioner: displaying a large (irrelevant) amount of information often leads to information overload. Next-generation interfaces for the electronic health record (EHR) should not only make patient data easily searchable and accessible, but also synthesize fragments of evidence documented in the entire record to understand the etiology of a disease and its clinical manifestation in individual patients. In this paper, we describe our efforts toward creating a context-based EHR, which employs biomedical ontologies and (graphical) disease models as sources of domain knowledge to identify relevant parts of the record to display. We hypothesize that knowledge (e.g., variables, relationships) from these sources can be used to standardize, annotate, and contextualize information from the patient record, improving access to relevant parts of the record and informing medical decision making. To achieve this goal, we describe a framework that aggregates and extracts findings and attributes from free-text clinical reports, maps findings to concepts in available knowledge sources, and generates a tailored presentation of the record based on the information needs of the user. We have implemented this framework in a system called Adaptive EHR, demonstrating its capabilities to present and synthesize information from neurooncology patients. This paper highlights the challenges and potential applications of leveraging disease models to improve the access, integration, and interpretation of clinical patient data. © 2012 IEEE

Dentin Hypersensitivity: Etiology, Diagnosis and Treatment; A Literature Review

PubMed Central

Davari, AR; Ataei, E; Assarzadeh, H

2013-01-01

The objective of this review is to inform practitioners about dentin hypersensitivity (DH); to provide a brief overview of the diagnosis, etiology and clinical management of dentin hypersensitivity and to discuss technical approaches to relieve sensitivity. This clinical information is described in the context of the underlying biology. The author used PUBMED to find relevant English-language literature published in the period 1999 to 2010. The author used combinations of the search terms “dentin*”, “tooth”, “teeth”, “hypersensit*”, “desensitiz*”. Abstracts and also full text articles to identify studies describing etiology, prevalence, clinical features, controlled clinical trials of treatments and relevant laboratory research on mechanisms of action were used. PMID:24724135

Social science and linguistic text analysis of nurses' records: a systematic review and critique.

PubMed

Buus, Niels; Hamilton, Bridget Elizabeth

2016-03-01

The two aims of the paper were to systematically review and critique social science and linguistic text analyses of nursing records in order to inform future research in this emerging area of research. Systematic searches in reference databases and in citation indexes identified 12 articles that included analyses of the social and linguistic features of records and recording. Two reviewers extracted data using established criteria for the evaluation of qualitative research papers. A common characteristic of nursing records was the economical use of language with local meanings that conveyed little information to the uninitiated reader. Records were dominated by technocratic-medical discourse focused on patients' bodies, and they depicted only very limited aspects of nursing practice. Nurses made moral evaluations in their categorisation of patients, which reflected detailed surveillance of patients' disturbing behaviour. The text analysis methods were rarely transparent in the articles, which could suggest research quality problems. For most articles, the significance of the findings was substantiated more by theoretical readings of the institutional settings than by the analysis of textual data. More probing empirical research of nurses' records and a wider range of theoretical perspectives has the potential to expose the situated meanings of nursing work in healthcare organisations. © 2015 John Wiley & Sons Ltd.

Reaching rural women: breast cancer prevention information seeking behaviors and interest in Internet, cell phone, and text use.

PubMed

Kratzke, Cynthia; Wilson, Susan; Vilchis, Hugo

2013-02-01

The purpose of this study was to examine the breast cancer prevention information seeking behaviors among rural women, the prevalence of Internet, cell, and text use, and interest to receive breast cancer prevention information cell and text messages. While growing literature for breast cancer information sources supports the use of the Internet, little is known about breast cancer prevention information seeking behaviors among rural women and mobile technology. Using a cross-sectional study design, data were collected using a survey. McGuire's Input-Ouput Model was used as the framework. Self-reported data were obtained from a convenience sample of 157 women with a mean age of 60 (SD = 12.12) at a rural New Mexico imaging center. Common interpersonal information sources were doctors, nurses, and friends and common channel information sources were television, magazines, and Internet. Overall, 87% used cell phones, 20% had an interest to receive cell phone breast cancer prevention messages, 47% used text messaging, 36% had an interest to receive text breast cancer prevention messages, and 37% had an interest to receive mammogram reminder text messages. Bivariate analysis revealed significant differences between age, income, and race/ethnicity and use of cell phones or text messaging. There were no differences between age and receiving text messages or text mammogram reminders. Assessment of health information seeking behaviors is important for community health educators to target populations for program development. Future research may identify additional socio-cultural differences.

Impact of Game-Inspired Infographics on User Engagement and Information Processing in an eHealth Program

PubMed Central

Qian, Xiaokun; Deal, Allison M; Ribisl, Kurt M; Linnan, Laura A; Tate, Deborah F

2016-01-01

Background Online interventions providing individual health behavior assessment should deliver feedback in a way that is both understandable and engaging. This study focused on the potential for infographics inspired by the aesthetics of game design to contribute to these goals. Objective We conducted formative research to test game-inspired infographics against more traditional displays (eg, text-only, column chart) for conveying a behavioral goal and an individual’s behavior relative to the goal. We explored the extent to which the display type would influence levels of engagement and information processing. Methods Between-participants experiments compared game-inspired infographics with traditional formats in terms of outcomes related to information processing (eg, comprehension, cognitive load) and engagement (eg, attitudes toward the information, emotional tone). We randomly assigned participants (N=1162) to an experiment in 1 of 6 modules (tobacco use, alcohol use, vegetable consumption, fruit consumption, physical activity, and weight management). Results In the tobacco module, a game-inspired format (scorecard) was compared with text-only; there were no differences in attitudes and emotional tone, but the scorecard outperformed text-only on comprehension (P=.004) and decreased cognitive load (P=.006). For the other behaviors, we tested 2 game-inspired formats (scorecard, progress bar) and a traditional column chart; there were no differences in comprehension, but the progress bar outperformed the other formats on attitudes and emotional tone (P<.001 for all contrasts). Conclusions Across modules, a game-inspired infographic showed potential to outperform a traditional format for some study outcomes while not underperforming on other outcomes. Overall, findings support the use of game-inspired infographics in behavioral assessment feedback to enhance comprehension and engagement, which may lead to greater behavior change. PMID:27658469

Impact of Game-Inspired Infographics on User Engagement and Information Processing in an eHealth Program.

PubMed

Comello, Maria Leonora G; Qian, Xiaokun; Deal, Allison M; Ribisl, Kurt M; Linnan, Laura A; Tate, Deborah F

2016-09-22

Online interventions providing individual health behavior assessment should deliver feedback in a way that is both understandable and engaging. This study focused on the potential for infographics inspired by the aesthetics of game design to contribute to these goals. We conducted formative research to test game-inspired infographics against more traditional displays (eg, text-only, column chart) for conveying a behavioral goal and an individual's behavior relative to the goal. We explored the extent to which the display type would influence levels of engagement and information processing. Between-participants experiments compared game-inspired infographics with traditional formats in terms of outcomes related to information processing (eg, comprehension, cognitive load) and engagement (eg, attitudes toward the information, emotional tone). We randomly assigned participants (N=1162) to an experiment in 1 of 6 modules (tobacco use, alcohol use, vegetable consumption, fruit consumption, physical activity, and weight management). In the tobacco module, a game-inspired format (scorecard) was compared with text-only; there were no differences in attitudes and emotional tone, but the scorecard outperformed text-only on comprehension (P=.004) and decreased cognitive load (P=.006). For the other behaviors, we tested 2 game-inspired formats (scorecard, progress bar) and a traditional column chart; there were no differences in comprehension, but the progress bar outperformed the other formats on attitudes and emotional tone (P<.001 for all contrasts). Across modules, a game-inspired infographic showed potential to outperform a traditional format for some study outcomes while not underperforming on other outcomes. Overall, findings support the use of game-inspired infographics in behavioral assessment feedback to enhance comprehension and engagement, which may lead to greater behavior change.

[A text-book case of tropical facial elephantiasis].

PubMed

Dilu, N-J; Sokolo, R

2007-02-01

Tropical facial elephantiasis is a nosological entity which can arise from various underlying causes: von Recklinghausen neurofibromatosis, lymphatic and cutaneodermal filarioses, deep mycosis. We report an exceptional case of tropical facial elephantiasis caused by onchocercosis and entomophtoromycosis (rhinophycomycosis). The patient's facial morphology was noted "hippopotamus-face" or "dog-face". Onchocercosis and entomophtoromycosis are two diseases known to cause facial elephantiasis. We have not however been able to find any case report in the literature of co-morbidity nor any information on factors predictive of concomitant occurrence.

Case study: library usage at an Indian medical college.

PubMed

Shah, Chinmay

2011-03-01

This issue's feature column reports on the findings of a small survey of library users carried out in an Indian medical college with a traditional curriculum. The study found that the main reason a student visited the library was to consult text books. Although the majority of students were satisfied with the library facilities, the study suggests that more needs to be done to promote self-directed learning. JM. © 2010 The authors. Health Information and Libraries Journal © 2010 Health Libraries Group.

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

PubMed Central

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

2015-01-01

The multimedia design of presentations typically ignores that younger and older adults have varying cognitive strengths and weaknesses. We examined whether differential instructional design may enhance learning in these populations. Younger and older participants viewed one of three computer-based presentations: Audio only (narration), Redundant (audio narration with redundant text), or Complementary (audio narration with non-redundant text and images). Younger participants learned better when audio narration was paired with relevant images compared to when audio narration was paired with redundant text. However, older participants learned best when audio narration was paired with redundant text. Younger adults, who presumably have a higher working memory capacity (WMC), appear to benefit more from complementary information that may drive deeper conceptual processing. In contrast, older adults learn better from presentations that support redundant coding across modalities, which may help mitigate the effects of age-related decline in WMC. Additionally, several misconceptions of design quality appeared across age groups: both younger and older participants positively rated less effective designs. Findings suggest that one-size does not fit all, with older adults requiring unique multimedia design tailored to their cognitive abilities for effective learning. PMID:26284000

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

PubMed

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

2015-01-01

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

The modality and redundancy effects in multimedia learning in children with dyslexia.

PubMed

Knoop-van Campen, Carolien A N; Segers, Eliane; Verhoeven, Ludo

2018-05-01

The present study aimed to examine the modality and redundancy effects in multimedia learning in children with dyslexia in order to find out whether their learning benefits from written and/or spoken text with pictures. We compared study time and knowledge gain in 26 11-year-old children with dyslexia and 38 typically reading peers in a within-subjects design. All children were presented with a series of user-paced multimedia lessons in 3 conditions: pictorial information presented with (a) written text, (b) audio, or (c) combined text and audio. We also examined whether children's learning outcomes were related to their working memory. With respect to study time, we found modality and reversed redundancy effects. Children with dyslexia spent more time learning in the text condition, compared with the audio condition and the combined text-and-audio condition. Regarding knowledge gain, no modality or redundancy effects were evidenced. Although the groups differed on working memory, it did not influence the modality or redundancy effect on study time or knowledge gain. In multimedia learning, it thus is more efficient to provide children with dyslexia with audio or with auditory support. Copyright © 2018 John Wiley & Sons, Ltd.

Cognitive coupling during reading.

PubMed

Mills, Caitlin; Graesser, Art; Risko, Evan F; D'Mello, Sidney K

2017-06-01

We hypothesize that cognitively engaged readers dynamically adjust their reading times with respect to text complexity (i.e., reading times should increase for difficult sections and decrease for easier ones) and failure to do so should impair comprehension. This hypothesis is consistent with theories of text comprehension but has surprisingly been untested. We tested this hypothesis by analyzing 4 datasets in which participants (N = 484) read expository texts using a self-paced reading paradigm. Participants self-reported mind wandering in response to pseudorandom thought-probes during reading and completed comprehension assessments after reading. We computed two measures of cognitive coupling by regressing each participant's paragraph-level reading times on two measures of text complexity: Flesch-Kincaid Grade Level and Word Concreteness scores. The two coupling measures yielded convergent findings: coupling was a negative predictor of mind wandering and a positive predictor of both text- and inference-level comprehension. Goodness-of-fit, measured with Akaike information criterion, also improved after adding coupling to the reading-time only models. Furthermore, cognitive coupling mediated the relationship between mind wandering and comprehension, supporting the hypothesis that mind wandering engenders a decoupling of attention from external stimuli. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Key principles to guide development of consumer medicine information--content analysis of information design texts.

PubMed

Raynor, David K; Dickinson, David

2009-04-01

Effective written consumer medicines information is essential to support safe and effective medicine taking, but the wording and layout of currently provided materials do not meet patients' needs. To identify principles from the wider discipline of information design for use by health professionals when developing or assessing written drug information for patients. Six experts in information design nominated texts on best practice in information design applicable to consumer medicines information. A content analysis identified key principles that were tabulated to bring out key themes. Six texts that met the inclusion criteria, were identified, and content analysis indentified 4 themes: words, type, lines, and layout. Within these main themes, there were 24 subthemes. Selected principles relating to these subthemes were: use short familiar words, short sentences, and short headings that stand out from the text; use a conversational tone of voice, addressing the reader as "you"; use a large type size while retaining sufficient white space; use bullet points to organize lists; use unjustified text (ragged right) and bold, lower-case text for emphasis. Pictures or graphics do not necessarily improve a document. Applying the good information design principles identified to written consumer medicines information could support health professionals when developing and assessing drug information for patients.

Doctor-patient communication in rheumatology: studies of visual and verbal perception using educational booklets and other graphic material.

PubMed Central

Moll, J M

1986-01-01

Patients (n = 404) with osteoarthrosis and control subjects (n = 233) were studied to examine the communicational value of five styles of illustration (cartoon (C), matchstick (M), representational (R), symbolic (S), photographic (P) and two levels of text ('easy', 'hard'), presented as educational booklets about osteoarthrosis. Booklet comprehension was tested with a multiple choice questionnaire (MCQ) scored by two raw score and two, more sensitive, weight-of-evidence methods. Further studies assessed perception of image detail, tone, and colour by ranking, rating, latency, and questionnaire methods. A subgroup was tested psychometrically. The main findings were: pictures in booklets enhance communication; perception of pictorial style depends on its vehicle of presentation, cartoons being most effective in booklets, photographs overall; simplifying text does not significantly enhance communication; certain picture-text 'interactions' appear to increase comprehension (e.g. 'hard' text with 'easy' pictures); several 'endogenous' factors are associated with increased comprehension: 'psychological' (e.g., intelligence, memory, reading skill); 'demographic' (e.g., the young, males, higher social grades, higher educational levels); 'disease' (e.g., longer disease duration, previous information about the disease). Images PMID:3954469

Doctor-patient communication in rheumatology: studies of visual and verbal perception using educational booklets and other graphic material.

PubMed

Moll, J M

1986-03-01

Patients (n = 404) with osteoarthrosis and control subjects (n = 233) were studied to examine the communicational value of five styles of illustration (cartoon (C), matchstick (M), representational (R), symbolic (S), photographic (P) and two levels of text ('easy', 'hard'), presented as educational booklets about osteoarthrosis. Booklet comprehension was tested with a multiple choice questionnaire (MCQ) scored by two raw score and two, more sensitive, weight-of-evidence methods. Further studies assessed perception of image detail, tone, and colour by ranking, rating, latency, and questionnaire methods. A subgroup was tested psychometrically. The main findings were: pictures in booklets enhance communication; perception of pictorial style depends on its vehicle of presentation, cartoons being most effective in booklets, photographs overall; simplifying text does not significantly enhance communication; certain picture-text 'interactions' appear to increase comprehension (e.g. 'hard' text with 'easy' pictures); several 'endogenous' factors are associated with increased comprehension: 'psychological' (e.g., intelligence, memory, reading skill); 'demographic' (e.g., the young, males, higher social grades, higher educational levels); 'disease' (e.g., longer disease duration, previous information about the disease).

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

ERIC Educational Resources Information Center

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…

How Popular Culture Texts Inform and Shape Students' Discussions of Social Studies Texts

ERIC Educational Resources Information Center

Hall, Leigh A.

2012-01-01

In this article, I examine how 6th-grade students used pop culture texts to inform their understandings about social studies texts and shape their discussions of it. Discussions showed that students used pop culture texts in three ways when talking about social studies texts. First, students applied comprehension strategies to pop culture texts to…

GeoSciGraph: An Ontological Framework for EarthCube Semantic Infrastructure

NASA Astrophysics Data System (ADS)

Gupta, A.; Schachne, A.; Condit, C.; Valentine, D.; Richard, S.; Zaslavsky, I.

2015-12-01

The CINERGI (Community Inventory of EarthCube Resources for Geosciences Interoperability) project compiles an inventory of a wide variety of earth science resources including documents, catalogs, vocabularies, data models, data services, process models, information repositories, domain-specific ontologies etc. developed by research groups and data practitioners. We have developed a multidisciplinary semantic framework called GeoSciGraph semantic ingration of earth science resources. An integrated ontology is constructed with Basic Formal Ontology (BFO) as its upper ontology and currently ingests multiple component ontologies including the SWEET ontology, GeoSciML's lithology ontology, Tematres controlled vocabulary server, GeoNames, GCMD vocabularies on equipment, platforms and institutions, software ontology, CUAHSI hydrology vocabulary, the environmental ontology (ENVO) and several more. These ontologies are connected through bridging axioms; GeoSciGraph identifies lexically close terms and creates equivalence class or subclass relationships between them after human verification. GeoSciGraph allows a community to create community-specific customizations of the integrated ontology. GeoSciGraph uses the Neo4J,a graph database that can hold several billion concepts and relationships. GeoSciGraph provides a number of REST services that can be called by other software modules like the CINERGI information augmentation pipeline. 1) Vocabulary services are used to find exact and approximate terms, term categories (community-provided clusters of terms e.g., measurement-related terms or environmental material related terms), synonyms, term definitions and annotations. 2) Lexical services are used for text parsing to find entities, which can then be included into the ontology by a domain expert. 3) Graph services provide the ability to perform traversal centric operations e.g., finding paths and neighborhoods which can be used to perform ontological operations like computing transitive closure (e.g., finding all subclasses of rocks). 4) Annotation services are used to adorn an arbitrary block of text (e.g., from a NOAA catalog record) with ontology terms. The system has been used to ontologically integrate diverse sources like Science-base, NOAA records, PETDB.

Recruit--An Ontology Based Information Retrieval System for Clinical Trials Recruitment.

PubMed

Patrão, Diogo F C; Oleynik, Michel; Massicano, Felipe; Morassi Sasso, Ariane

2015-01-01

Clinical trials are studies designed to assess whether a new intervention is better than the current alternatives. However, most of them fail to recruit participants on schedule. It is hard to use Electronic Health Record (EHR) data to find eligible patients, therefore studies rely on manual assessment, which is time consuming, inefficient and requires specialized training. In this work we describe the design and development of an information retrieval system with the objective of finding eligible patients for cancer trials. The Recruit system has been in use at A. C. Camargo Cancer Center since August/2014 and contains data from more than 500,000 patients and 9 databases. It uses ontologies to integrate data from several sources and represent medical knowledge, which helps enhance results. One can search both in structured data and inside free text reports. The preliminary quality assessments shows excellent recall rates. Recruit proved to be an useful tool for researchers and its modular design could be applied to other clinical conditions and hospitals.

Differences among college women for breast cancer prevention acquired information-seeking, desired apps and texts, and daughter-initiated information to mothers.

PubMed

Kratzke, Cynthia; Amatya, Anup; Vilchis, Hugo

2014-04-01

The purpose of this study was to examine among college women acquired breast cancer prevention information-seeking, desired apps and texts, and information given to mothers. Using a cross-sectional study, a survey was administered to college women at a southwestern university. College women (n = 546) used the Internet (44 %) for active breast cancer prevention information-seeking and used the Internet (74 %), magazines (69 %), and television (59 %) for passive information receipt. Over half of the participants desired breast cancer prevention apps (54 %) and texts (51 %). Logistic regression analyses revealed predictors for interest to receive apps were ethnicity (Hispanic), lower self-efficacy, actively seeking online information, and older age and predictors for interest to receive texts were lower self-efficacy and higher university level. Eighteen percent of college women (n = 99) reported giving information to mothers and reported in an open-ended item the types of information given to mothers. Predictors for giving information to mothers were actively and passively seeking online information, breast self-exam practice, and higher university level. Screenings were the most frequent types of information given to mothers. Breast cancer prevention information using apps, texts, or Internet and daughter-initiated information for mothers should be considered in health promotion targeting college students or young women in communities. Future research is needed to examine the quality of apps, texts, and online information and cultural differences for breast cancer prevention sources.

A virtual microscope for academic medical education: the pate project.

PubMed

Brochhausen, Christoph; Winther, Hinrich B; Hundt, Christian; Schmitt, Volker H; Schömer, Elmar; Kirkpatrick, C James

2015-05-11

Whole-slide imaging (WSI) has become more prominent and continues to gain in importance in student teaching. Applications with different scope have been developed. Many of these applications have either technical or design shortcomings. To design a survey to determine student expectations of WSI applications for teaching histological and pathological diagnosis. To develop a new WSI application based on the findings of the survey. A total of 216 students were questioned about their experiences and expectations of WSI applications, as well as favorable and undesired features. The survey included 14 multiple choice and two essay questions. Based on the survey, we developed a new WSI application called Pate utilizing open source technologies. The survey sample included 216 students-62.0% (134) women and 36.1% (78) men. Out of 216 students, 4 (1.9%) did not disclose their gender. The best-known preexisting WSI applications included Mainzer Histo Maps (199/216, 92.1%), Histoweb Tübingen (16/216, 7.4%), and Histonet Ulm (8/216, 3.7%). Desired features for the students were latitude in the slides (190/216, 88.0%), histological (191/216, 88.4%) and pathological (186/216, 86.1%) annotations, points of interest (181/216, 83.8%), background information (146/216, 67.6%), and auxiliary informational texts (113/216, 52.3%). By contrast, a discussion forum was far less important (9/216, 4.2%) for the students. The survey revealed that the students appreciate a rich feature set, including WSI functionality, points of interest, auxiliary informational texts, and annotations. The development of Pate was significantly influenced by the findings of the survey. Although Pate currently has some issues with the Zoomify file format, it could be shown that Web technologies are capable of providing a high-performance WSI experience, as well as a rich feature set.

Improving Physics Texts: Students Speak Out.

ERIC Educational Resources Information Center

Guzzetti, Barbara J.; And Others

1995-01-01

Finds that high school physical science students prefer textbooks with expository text that not only gives a correct concept but refutes common incorrect ideas. Finds that writing a comprehensible text is more difficult than the researchers had imagined. (SR)

Awareness, perception and barriers to seeking information from online academic databases and medical journals as sources of information.

PubMed

Wong, Li Ping; Mohamad Shakir, Sharina Mahavera; Tong, Wen Ting; Alias, Haridah; Aghamohammadi, Nasrin; Arumugam, Kulenthran

2017-10-16

Medical students' use of online medical journals as a source of information is crucial in the learning pathway to become medical doctors. We conducted a cross-sectional survey study among University medical students between December 2012 and March 2013 to assess their awareness, perceived usefulness, practices, and barriers to seeking information from online academic databases and medical journals. The response rate was 67.53%. The majority of the students knew of the availability of online academic databases and medical journals. The mean score for awareness (4.25 of possible 11.0), perceived usefulness (13.95 of possible 33.0), and practice (10.67 of possible 33.0) were low. The mean barrier score toward using online academic databases and medical journals was 25.41 (of possible 45.0). Multivariate findings showed that significant barriers associated with overall usage of online databases and medical journals were 1) not knowing where or how to locate databases and 2) unsureness of using the Boolean operators. Availability of full text subscriptions was found to be an important factor in using online databases. Study findings highlighted the need to increase awareness of academic databases' availability and increase training on ways to search online academic databases and medical journals.

A Mixed Methods Analysis of a Library Based Handheld Intervention with Rural Clinicians

PubMed Central

Wallace, Richard L.; Woodward, Nakia J.; Wolf, Katherine M.

2014-01-01

Background The East Tennessee State University Quillen College of Medicine Library has participated for several years in projects to provide rural clinicians with health information resources. Objectives To determine if a strategy of handheld devices with a best-evidence point-of-care disease tool and a drug database paired with access to a medical library for full-text articles and training to use the tools would be an affordable way to meet the information needs of rural underserved clinicians. Methods This study is a mixed methods methodology. The first project was evaluated using a randomized controlled trial (RCT) methodology. The second was evaluated qualitatively using interviews and focus groups. Results The quantitative findings discovered that clinicians equipped with a handheld device with evidence-based software more frequently found answers to clinical questions, found answers more quickly, were more satisfied with information they found, and use expensive resources such as continuing medical education, online databases, and textbooks less than the group that did not have access to online technology. Qualitative results supported the quantitative findings. Conclusion Librarians can implement a three-pronged strategy of the secondary literature via a handheld, the primary literature via LoansomeDoc, and quality training to meet basic information needs of rural clinicians. PMID:25155980

Text Messaging to Communicate With Public Health Audiences: How the HIPAA Security Rule Affects Practice

PubMed Central

Karasz, Hilary N.; Eiden, Amy; Bogan, Sharon

2013-01-01

Text messaging is a powerful communication tool for public health purposes, particularly because of the potential to customize messages to meet individuals’ needs. However, using text messaging to send personal health information requires analysis of laws addressing the protection of electronic health information. The Health Insurance Portability and Accountability Act (HIPAA) Security Rule is written with flexibility to account for changing technologies. In practice, however, the rule leads to uncertainty about how to make text messaging policy decisions. Text messaging to send health information can be implemented in a public health setting through 2 possible approaches: restructuring text messages to remove personal health information and retaining limited personal health information in the message but conducting a risk analysis and satisfying other requirements to meet the HIPAA Security Rule. PMID:23409902

Reading and Understanding Literature. Report Series 4.5.

ERIC Educational Resources Information Center

Hansson, Gunnar

Finding meaning in an ordinary prose text and following a description or argument is generally considered less difficult than finding the essential message in a literary text. Sometimes, however, the emotional impact makes it easier for some readers with some texts to see and understand the meaning of some literary texts. Research from the…

Rules of Engagement: Incomplete and Complete Pronoun Resolution

PubMed Central

Love, Jessica; McKoon, Gail

2011-01-01

Research on shallow processing suggests that readers sometimes encode only a superficial representation of a text, failing to make use of all available information. Greene, McKoon and Ratcliff (1992) extended this work to pronouns, finding evidence that readers sometimes fail to automatically identify referents even when they are unambiguous. In this paper we revisit those findings. In 11 recognition probe, priming, and self-report experiments, we manipulated Greene et al.’s stories to discover under what circumstances a pronoun’s referent is automatically understood. We lengthened the stories from four to eight lines, a simple manipulation that led to automatic and correct resolution, which we attribute to readers’ increased engagement with the stories. We found evidence of resolution even when the additional text did not mention the pronoun’s referent. In addition, our results suggest that the pronoun temporarily boosts the referent’s accessibility, an advantage that disappears by the end of the next sentence. Finally, we present evidence from memory experiments that support complete pronoun resolution for the longer, but not the shorter, stories. PMID:21480757

Strategy Shifts during Learning from Texts and Pictures

ERIC Educational Resources Information Center

Schnotz, Wolfgang; Ludewig, Ulrich; Ullrich, Mark; Horz, Holger; McElvany, Nele; Baumert, Jürgen

2014-01-01

Reading for learning frequently requires integrating text and picture information into coherent knowledge structures. This article presents an experimental study aimed at analyzing the strategies used by students for integrating text and picture information. Four combinations of texts and pictures (text-picture units) were selected from textbooks…

Value of XML in the implementation of clinical practice guidelines--the issue of content retrieval and presentation.

PubMed

Hoelzer, S; Schweiger, R K; Boettcher, H A; Tafazzoli, A G; Dudeck, J

2001-01-01

The purpose of guidelines in clinical practice is to improve the effectiveness and efficiency of clinical care. It is known that nationally or internationally produced guidelines which, in particular, do not involve medical processes at the time of consultation, do not take local factors into account, and have no consistent implementation strategy, have limited impact in changing either the behaviour of physicians, or patterns of care. The literature provides evidence for the effectiveness of computerization of CPGs for increasing compliance and improving patient outcomes. Probably the most effective concepts are knowledge-based functions for decision support or monitoring that are integrated in clinical information systems. This approach is mostly restricted by the effort required for development and maintenance of the information systems and the limited number of implemented medical rules. Most of the guidelines are text-based, and are primarily published in medical journals and posted on the internet. However, internet-published guidelines have little impact on the behaviour of physicians. It can be difficult and time-consuming to browse the internet to find (a) the correct guidelines to an existing diagnosis and (b) and adequate recommendation for a specific clinical problem. Our objective is to provide a web-based guideline service that takes as input clinical data on a particular patient and returns as output a customizable set of recommendations regarding diagnosis and treatment. Information in healthcare is to a very large extent transmitted and stored as unstructured or slightly structured text such as discharge letters, reports, forms, etc. The same applies for facilities containing medical information resources for clinical purposes and research such as text books, articles, guidelines, etc. Physicians are used to obtaining information from text-based sources. Since most guidelines are text-based, it would be practical to use a document-based solution that preserves the original cohesiveness. The lack of structure limits the automatic identification and extraction of the information contained in these resources. For this reason, we have chosen a document-based approach using eXtensible Markup Language (XML) with its schema definition and related technologies. XML empowers the applications for in-context searching. In addition it allows the same content to be represented in different ways. Our XML reference clinical data model for guidelines has been realized with the XML schema definition. The schema is used for structuring new text-based guidelines and updating existing documents. It is also used to establish search strategies on the document base. We hypothesize that enabling the physicians to query the available CPGs easily, and to get access to selected and specific information at the point of care will foster increased use. Based on current evidence we are confident that it will have substantial impact on the care provided, and will improve health outcomes.

Finding abbreviations in biomedical literature: three BioC-compatible modules and four BioC-formatted corpora.

PubMed

Islamaj Doğan, Rezarta; Comeau, Donald C; Yeganova, Lana; Wilbur, W John

2014-01-01

BioC is a recently created XML format to share text data and annotations, and an accompanying input/output library to promote interoperability of data and tools for natural language processing of biomedical text. This article reports the use of BioC to address a common challenge in processing biomedical text information-that of frequent entity name abbreviation. We selected three different abbreviation definition identification modules, and used the publicly available BioC code to convert these independent modules into BioC-compatible components that interact seamlessly with BioC-formatted data, and other BioC-compatible modules. In addition, we consider four manually annotated corpora of abbreviations in biomedical text: the Ab3P corpus of 1250 PubMed abstracts, the BIOADI corpus of 1201 PubMed abstracts, the old MEDSTRACT corpus of 199 PubMed(®) citations and the Schwartz and Hearst corpus of 1000 PubMed abstracts. Annotations in these corpora have been re-evaluated by four annotators and their consistency and quality levels have been improved. We converted them to BioC-format and described the representation of the annotations. These corpora are used to measure the three abbreviation-finding algorithms and the results are given. The BioC-compatible modules, when compared with their original form, have no difference in their efficiency, running time or any other comparable aspects. They can be conveniently used as a common pre-processing step for larger multi-layered text-mining endeavors. Database URL: Code and data are available for download at the BioC site: http://bioc.sourceforge.net. Published by Oxford University Press 2014. This work is written by US Government employees and is in the public domain in the US.

A multi-ontology approach to annotate scientific documents based on a modularization technique.

PubMed

Gomes, Priscilla Corrêa E Castro; Moura, Ana Maria de Carvalho; Cavalcanti, Maria Cláudia

2015-12-01

Scientific text annotation has become an important task for biomedical scientists. Nowadays, there is an increasing need for the development of intelligent systems to support new scientific findings. Public databases available on the Web provide useful data, but much more useful information is only accessible in scientific texts. Text annotation may help as it relies on the use of ontologies to maintain annotations based on a uniform vocabulary. However, it is difficult to use an ontology, especially those that cover a large domain. In addition, since scientific texts explore multiple domains, which are covered by distinct ontologies, it becomes even more difficult to deal with such task. Moreover, there are dozens of ontologies in the biomedical area, and they are usually big in terms of the number of concepts. It is in this context that ontology modularization can be useful. This work presents an approach to annotate scientific documents using modules of different ontologies, which are built according to a module extraction technique. The main idea is to analyze a set of single-ontology annotations on a text to find out the user interests. Based on these annotations a set of modules are extracted from a set of distinct ontologies, and are made available for the user, for complementary annotation. The reduced size and focus of the extracted modules tend to facilitate the annotation task. An experiment was conducted to evaluate this approach, with the participation of a bioinformatician specialist of the Laboratory of Peptides and Proteins of the IOC/Fiocruz, who was interested in discovering new drug targets aiming at the combat of tropical diseases. Copyright © 2015 Elsevier Inc. All rights reserved.

Reader-Text Interactions: How Differential Text and Question Types Influence Cognitive Skills Needed for Reading Comprehension

PubMed Central

Eason, Sarah H.; Goldberg, Lindsay F.; Young, Katherine M.; Geist, Megan C.; Cutting, Laurie E.

2015-01-01

Current research has shown that comprehension can vary based on text and question types, and that readers’ word recognition and background knowledge may account for these differences. Other reader characteristics such as semantic and syntactic awareness, inferencing, planning/organizing have also all been linked to reading comprehension, but have not been examined with regard to specific text and question types. The aim of this study was to explore the relationships between reader characteristics, text types, and question types, in children aged 10–14. We sought to compare children’s performance when comprehending narrative, expository, and functional text, as well as to explore differences between children’s performance on comprehension questions that assess their literal or inferential comprehension of a passage. To examine such differences, we analyzed the degree to which distinct cognitive skills (semantic and syntactic awareness, inferencing, planning/organizing) contribute to performance on varying types of texts and questions. This study found main effects of text and question types, as well as an interaction in which relations between question types varied between text types. Analyses indicated that higher order cognitive skills, including the ability to make inferences and to plan and organize information, contribute to comprehension of more complex text (e.g., expository vs. narrative) and question types (e.g., inferential vs. literal), and therefore are important components of reading for later elementary and middle school students. These findings suggest that developing these skills in early elementary school may better equip students for comprehending the texts they will encounter in higher grades. PMID:26566295

Effects of text cohesion on comprehension and retention of colorectal cancer screening information: a preliminary study.

PubMed

Liu, Chiung-Ju; Rawl, Susan M

2012-01-01

Increasing readability of written cancer prevention information is a fundamental step to increasing awareness and knowledge of cancer screening. Instead of readability formulas, the present study focused on text cohesion, which is the degree to which the text content ties together. The purpose of this study was to examine the effect of text cohesion on reading times, comprehension, and retention of colorectal cancer prevention information. English-speaking adults (50 years of age or older) were recruited from local communities. Participants were randomly assigned to read colorectal cancer prevention subtopics presented at 2 levels of text cohesion: from higher cohesion to lower cohesion, or vice versa. Reading times, word recognition, text comprehension, and recall were assessed after reading. Two weeks later, text comprehension and recall were reassessed. Forty-two adults completed the study, but five were lost to follow up. Higher text cohesion showed a significant effect on reading times and text comprehension but not on word recognition and recall. The effect of text cohesion was not found on text comprehension and recall after 2 weeks. Increasing text cohesion facilitates reading speed and comprehension of colorectal cancer prevention information. Further research on the effect of text cohesion is warranted.

Semantic information extracting system for classification of radiological reports in radiology information system (RIS)

NASA Astrophysics Data System (ADS)

Shi, Liehang; Ling, Tonghui; Zhang, Jianguo

2016-03-01

Radiologists currently use a variety of terminologies and standards in most hospitals in China, and even there are multiple terminologies being used for different sections in one department. In this presentation, we introduce a medical semantic comprehension system (MedSCS) to extract semantic information about clinical findings and conclusion from free text radiology reports so that the reports can be classified correctly based on medical terms indexing standards such as Radlex or SONMED-CT. Our system (MedSCS) is based on both rule-based methods and statistics-based methods which improve the performance and the scalability of MedSCS. In order to evaluate the over all of the system and measure the accuracy of the outcomes, we developed computation methods to calculate the parameters of precision rate, recall rate, F-score and exact confidence interval.

Empirical study using network of semantically related associations in bridging the knowledge gap.

PubMed

Abedi, Vida; Yeasin, Mohammed; Zand, Ramin

2014-11-27

The data overload has created a new set of challenges in finding meaningful and relevant information with minimal cognitive effort. However designing robust and scalable knowledge discovery systems remains a challenge. Recent innovations in the (biological) literature mining tools have opened new avenues to understand the confluence of various diseases, genes, risk factors as well as biological processes in bridging the gaps between the massive amounts of scientific data and harvesting useful knowledge. In this paper, we highlight some of the findings using a text analytics tool, called ARIANA--Adaptive Robust and Integrative Analysis for finding Novel Associations. Empirical study using ARIANA reveals knowledge discovery instances that illustrate the efficacy of such tool. For example, ARIANA can capture the connection between the drug hexamethonium and pulmonary inflammation and fibrosis that caused the tragic death of a healthy volunteer in a 2001 John Hopkins asthma study, even though the abstract of the study was not part of the semantic model. An integrated system, such as ARIANA, could assist the human expert in exploratory literature search by bringing forward hidden associations, promoting data reuse and knowledge discovery as well as stimulating interdisciplinary projects by connecting information across the disciplines.

Eye movement responses to health messages on cigarette packages

PubMed Central

2012-01-01

Background While the majority of the health messages on cigarette packages contain threatening health information, previous studies indicate that risk information can trigger defensive reactions, especially when the information is self-relevant (i.e., smokers). Providing coping information, information that provides help for quitting smoking, might increase attention to health messages instead of triggering defensive reactions. Methods Eye-movement registration can detect attention preferences for different health education messages over a longer period of time during message exposure. In a randomized, experimental study with 23 smoking and 41 non-smoking student volunteers, eye-movements were recorded for sixteen self-created cigarette packages containing health texts that presented either high risk or coping information combined with a high threat or a low threat smoking-related photo. Results Results of the eye movement data showed that smokers tend to spend more time looking (i.e., more unique fixations and longer dwell time) at the coping information than at the high risk information irrespective of the content of the smoking-related photo. Non-smokers tend to spend more time looking at the high risk information than at the coping information when the information was presented in combination with a high threat smoking photo. When a low threat photo was presented, non-smokers paid more attention to the coping information than to the high risk information. Results for the smoking photos showed more attention allocation for low threat photos that were presented in combination with high risk information than for low threat photos in combination with coping information. No attention differences were found for the high threat photos. Conclusions Non-smokers demonstrated an attention preference for high risk information as opposed to coping information, but only when text information was presented in combination with a high threat photo. For smokers, however, our findings suggest more attention allocation for coping information than for health risk information. This preference for coping information is not reflected in current health messages to motivate smokers to quit smoking. Coping information should be more frequently implemented in health message design to increase attention for these messages and thus contribute to effective persuasion. PMID:22583956

Eye movement responses to health messages on cigarette packages.

PubMed

Kessels, Loes T E; Ruiter, Robert A C

2012-05-14

While the majority of the health messages on cigarette packages contain threatening health information, previous studies indicate that risk information can trigger defensive reactions, especially when the information is self-relevant (i.e., smokers). Providing coping information, information that provides help for quitting smoking, might increase attention to health messages instead of triggering defensive reactions. Eye-movement registration can detect attention preferences for different health education messages over a longer period of time during message exposure. In a randomized, experimental study with 23 smoking and 41 non-smoking student volunteers, eye-movements were recorded for sixteen self-created cigarette packages containing health texts that presented either high risk or coping information combined with a high threat or a low threat smoking-related photo. Results of the eye movement data showed that smokers tend to spend more time looking (i.e., more unique fixations and longer dwell time) at the coping information than at the high risk information irrespective of the content of the smoking-related photo. Non-smokers tend to spend more time looking at the high risk information than at the coping information when the information was presented in combination with a high threat smoking photo. When a low threat photo was presented, non-smokers paid more attention to the coping information than to the high risk information. Results for the smoking photos showed more attention allocation for low threat photos that were presented in combination with high risk information than for low threat photos in combination with coping information. No attention differences were found for the high threat photos. Non-smokers demonstrated an attention preference for high risk information as opposed to coping information, but only when text information was presented in combination with a high threat photo. For smokers, however, our findings suggest more attention allocation for coping information than for health risk information. This preference for coping information is not reflected in current health messages to motivate smokers to quit smoking. Coping information should be more frequently implemented in health message design to increase attention for these messages and thus contribute to effective persuasion.

Contextual Text Mining

ERIC Educational Resources Information Center

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…

BIOSMILE web search: a web application for annotating biomedical entities and relations.

PubMed

Dai, Hong-Jie; Huang, Chi-Hsin; Lin, Ryan T K; Tsai, Richard Tzong-Han; Hsu, Wen-Lian

2008-07-01

BIOSMILE web search (BWS), a web-based NCBI-PubMed search application, which can analyze articles for selected biomedical verbs and give users relational information, such as subject, object, location, manner, time, etc. After receiving keyword query input, BWS retrieves matching PubMed abstracts and lists them along with snippets by order of relevancy to protein-protein interaction. Users can then select articles for further analysis, and BWS will find and mark up biomedical relations in the text. The analysis results can be viewed in the abstract text or in table form. To date, BWS has been field tested by over 30 biologists and questionnaires have shown that subjects are highly satisfied with its capabilities and usability. BWS is accessible free of charge at http://bioservices.cse.yzu.edu.tw/BWS.

Using popular films to enhance classroom learning: the good, the bad, and the interesting.

PubMed

Butler, Andrew C; Zaromb, Franklin M; Lyle, Keith B; Roediger, Henry L

2009-09-01

Popular history films sometimes contain major historical inaccuracies. Two experiments investigated how watching such films influences people's ability to remember associated texts. Subjects watched film clips and studied texts about various historical topics. Whereas the texts contained only correct information, the film clips contained both correct information (consistent with the text) and misinformation (contradicted by the text). Before watching each clip, subjects received a specific warning, a general warning, or no warning about the misinformation. One week later, they returned for a cued-recall test about the texts. Watching a film clip increased correct recall of consistent information relative to recall of the same information when subjects did not see the clip. However, when the information in the film contradicted the text, subjects often (falsely) recalled misinformation from the film. The specific warning substantially reduced this misinformation effect. Teachers should use popular history films with caution and should warn students about major inaccuracies in the films.

Communicating headings and preview sentences in text and speech.

PubMed

Lorch, Robert F; Chen, Hung-Tao; Lemarié, Julie

2012-09-01

Two experiments tested the effects of preview sentences and headings on the quality of college students' outlines of informational texts. Experiment 1 found that performance was much better in the preview sentences condition than in a no-signals condition for both printed text and text-to-speech (TTS) audio rendering of the printed text. In contrast, performance in the headings condition was good for the printed text but poor for the auditory presentation because the TTS software failed to communicate nonverbal information carried by the visual headings. Experiment 2 compared outlining performance for five headings conditions during TTS presentation. Using a theoretical framework, "signaling available, relevant, accessible" (SARA) information, to provide an analysis of the information content of headings in the printed text, the manipulation of the headings systematically restored information that was omitted by the TTS application in Experiment 1. The result was that outlining performance improved to levels similar to the visual headings condition of Experiment 1. It is argued that SARA is a useful framework for guiding future development of TTS software for a wide variety of text signaling devices, not just headings.

Influence of Framing and Graphic Format on Comprehension of Risk Information among American Indian Tribal College Students

PubMed Central

Sprague, Debra; Russo, Joan E.; LaVallie, Donna L.; Buchwald, Dedra S.

2012-01-01

We evaluated methods for presenting risk information by administering 6 versions of an anonymous survey to 489 American Indian tribal college students. All surveys presented identical numeric information, but framing varied. Half expressed prevention benefits as relative risk reduction, half as absolute risk reduction. One-third of surveys used text to describe prevention benefits; 1/3 used text plus bar graph; 1/3 used text plus modified bar graph incorporating a culturally tailored image. The odds ratio (OR) for correct risk interpretation for absolute risk framing vs. relative risk framing was 1.40 (95% CI=1.01, 1.93). The OR for correct interpretation of text plus bar graph vs. text only was 2.16 (95% CI=1.46, 3.19); OR for text plus culturally tailored bar graph vs. text only was 1.72 (95% CI=1.14, 2.60). Risk information including a bar graph was better understood than text-only information; a culturally tailored graph was no more effective than a standard graph. PMID:22544538

Application and Effects of Linguistic Functions on Information Retrieval in a German Language Full-Text Database: Comparison between Retrieval in Abstract and Full Text.

ERIC Educational Resources Information Center

Tauchert, Wolfgang; And Others

1991-01-01

Describes the PADOK-II project in Germany, which was designed to give information on the effects of linguistic algorithms on retrieval in a full-text database, the German Patent Information System (GPI). Relevance assessments are discussed, statistical evaluations are described, and searches are compared for the full-text section versus the…

Text-mining and information-retrieval services for molecular biology

PubMed Central

Krallinger, Martin; Valencia, Alfonso

2005-01-01

Text-mining in molecular biology - defined as the automatic extraction of information about genes, proteins and their functional relationships from text documents - has emerged as a hybrid discipline on the edges of the fields of information science, bioinformatics and computational linguistics. A range of text-mining applications have been developed recently that will improve access to knowledge for biologists and database annotators. PMID:15998455

Information extraction from multi-institutional radiology reports.

PubMed

Hassanpour, Saeed; Langlotz, Curtis P

2016-01-01

The radiology report is the most important source of clinical imaging information. It documents critical information about the patient's health and the radiologist's interpretation of medical findings. It also communicates information to the referring physicians and records that information for future clinical and research use. Although efforts to structure some radiology report information through predefined templates are beginning to bear fruit, a large portion of radiology report information is entered in free text. The free text format is a major obstacle for rapid extraction and subsequent use of information by clinicians, researchers, and healthcare information systems. This difficulty is due to the ambiguity and subtlety of natural language, complexity of described images, and variations among different radiologists and healthcare organizations. As a result, radiology reports are used only once by the clinician who ordered the study and rarely are used again for research and data mining. In this work, machine learning techniques and a large multi-institutional radiology report repository are used to extract the semantics of the radiology report and overcome the barriers to the re-use of radiology report information in clinical research and other healthcare applications. We describe a machine learning system to annotate radiology reports and extract report contents according to an information model. This information model covers the majority of clinically significant contents in radiology reports and is applicable to a wide variety of radiology study types. Our automated approach uses discriminative sequence classifiers for named-entity recognition to extract and organize clinically significant terms and phrases consistent with the information model. We evaluated our information extraction system on 150 radiology reports from three major healthcare organizations and compared its results to a commonly used non-machine learning information extraction method. We also evaluated the generalizability of our approach across different organizations by training and testing our system on data from different organizations. Our results show the efficacy of our machine learning approach in extracting the information model's elements (10-fold cross-validation average performance: precision: 87%, recall: 84%, F1 score: 85%) and its superiority and generalizability compared to the common non-machine learning approach (p-value<0.05). Our machine learning information extraction approach provides an effective automatic method to annotate and extract clinically significant information from a large collection of free text radiology reports. This information extraction system can help clinicians better understand the radiology reports and prioritize their review process. In addition, the extracted information can be used by researchers to link radiology reports to information from other data sources such as electronic health records and the patient's genome. Extracted information also can facilitate disease surveillance, real-time clinical decision support for the radiologist, and content-based image retrieval. Copyright © 2015 Elsevier B.V. All rights reserved.

Enriching a document collection by integrating information extraction and PDF annotation

NASA Astrophysics Data System (ADS)

Powley, Brett; Dale, Robert; Anisimoff, Ilya

2009-01-01

Modern digital libraries offer all the hyperlinking possibilities of the World Wide Web: when a reader finds a citation of interest, in many cases she can now click on a link to be taken to the cited work. This paper presents work aimed at providing the same ease of navigation for legacy PDF document collections that were created before the possibility of integrating hyperlinks into documents was ever considered. To achieve our goal, we need to carry out two tasks: first, we need to identify and link citations and references in the text with high reliability; and second, we need the ability to determine physical PDF page locations for these elements. We demonstrate the use of a high-accuracy citation extraction algorithm which significantly improves on earlier reported techniques, and a technique for integrating PDF processing with a conventional text-stream based information extraction pipeline. We demonstrate these techniques in the context of a particular document collection, this being the ACL Anthology; but the same approach can be applied to other document sets.

The Effect of Patient Narratives on Information Search in a Web-Based Breast Cancer Decision Aid: An Eye-Tracking Study

PubMed Central

Owens, Justin; Zikmund-Fisher, Brian J

2013-01-01

Background Previous research has examined the impact of patient narratives on treatment choices, but to our knowledge, no study has examined the effect of narratives on information search. Further, no research has considered the relative impact of their format (text vs video) on health care decisions in a single study. Objective Our goal was to examine the impact of video and text-based narratives on information search in a Web-based patient decision aid for early stage breast cancer. Methods Fifty-six women were asked to imagine that they had been diagnosed with early stage breast cancer and needed to choose between two surgical treatments (lumpectomy with radiation or mastectomy). Participants were randomly assigned to view one of four versions of a Web decision aid. Two versions of the decision aid included videos of interviews with patients and physicians or videos of interviews with physicians only. To distinguish between the effect of narratives and the effect of videos, we created two text versions of the Web decision aid by replacing the patient and physician interviews with text transcripts of the videos. Participants could freely browse the Web decision aid until they developed a treatment preference. We recorded participants’ eye movements using the Tobii 1750 eye-tracking system equipped with Tobii Studio software. A priori, we defined 24 areas of interest (AOIs) in the Web decision aid. These AOIs were either separate pages of the Web decision aid or sections within a single page covering different content. Results We used multilevel modeling to examine the effect of narrative presence, narrative format, and their interaction on information search. There was a significant main effect of condition, P=.02; participants viewing decision aids with patient narratives spent more time searching for information than participants viewing the decision aids without narratives. The main effect of format was not significant, P=.10. However, there was a significant condition by format interaction on fixation duration, P<.001. When comparing the two video decision aids, participants viewing the narrative version spent more time searching for information than participants viewing the control version of the decision aid. In contrast, participants viewing the narrative version of the text decision aid spent less time searching for information than participants viewing the control version of the text decision aid. Further, narratives appear to have a global effect on information search; these effects were not limited to specific sections of the decision aid that contained topics discussed in the patient stories. Conclusions The observed increase in fixation duration with video patient testimonials is consistent with the idea that the vividness of the video content could cause greater elaboration of the message, thereby encouraging greater information search. Conversely, because reading requires more effortful processing than watching, reading patient narratives may have decreased participant motivation to engage in more reading in the remaining sections of the Web decision aid. These findings suggest that the format of patient stories may be equally as important as their content in determining their effect on decision making. More research is needed to understand why differences in format result in fundamental differences in information search. PMID:24345424

Text mining of cancer-related information: review of current status and future directions.

PubMed

Spasić, Irena; Livsey, Jacqueline; Keane, John A; Nenadić, Goran

2014-09-01

This paper reviews the research literature on text mining (TM) with the aim to find out (1) which cancer domains have been the subject of TM efforts, (2) which knowledge resources can support TM of cancer-related information and (3) to what extent systems that rely on knowledge and computational methods can convert text data into useful clinical information. These questions were used to determine the current state of the art in this particular strand of TM and suggest future directions in TM development to support cancer research. A review of the research on TM of cancer-related information was carried out. A literature search was conducted on the Medline database as well as IEEE Xplore and ACM digital libraries to address the interdisciplinary nature of such research. The search results were supplemented with the literature identified through Google Scholar. A range of studies have proven the feasibility of TM for extracting structured information from clinical narratives such as those found in pathology or radiology reports. In this article, we provide a critical overview of the current state of the art for TM related to cancer. The review highlighted a strong bias towards symbolic methods, e.g. named entity recognition (NER) based on dictionary lookup and information extraction (IE) relying on pattern matching. The F-measure of NER ranges between 80% and 90%, while that of IE for simple tasks is in the high 90s. To further improve the performance, TM approaches need to deal effectively with idiosyncrasies of the clinical sublanguage such as non-standard abbreviations as well as a high degree of spelling and grammatical errors. This requires a shift from rule-based methods to machine learning following the success of similar trends in biological applications of TM. Machine learning approaches require large training datasets, but clinical narratives are not readily available for TM research due to privacy and confidentiality concerns. This issue remains the main bottleneck for progress in this area. In addition, there is a need for a comprehensive cancer ontology that would enable semantic representation of textual information found in narrative reports. Copyright © 2014 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Unsupervised discovery of information structure in biomedical documents.

PubMed

Kiela, Douwe; Guo, Yufan; Stenius, Ulla; Korhonen, Anna

2015-04-01

Information structure (IS) analysis is a text mining technique, which classifies text in biomedical articles into categories that capture different types of information, such as objectives, methods, results and conclusions of research. It is a highly useful technique that can support a range of Biomedical Text Mining tasks and can help readers of biomedical literature find information of interest faster, accelerating the highly time-consuming process of literature review. Several approaches to IS analysis have been presented in the past, with promising results in real-world biomedical tasks. However, all existing approaches, even weakly supervised ones, require several hundreds of hand-annotated training sentences specific to the domain in question. Because biomedicine is subject to considerable domain variation, such annotations are expensive to obtain. This makes the application of IS analysis across biomedical domains difficult. In this article, we investigate an unsupervised approach to IS analysis and evaluate the performance of several unsupervised methods on a large corpus of biomedical abstracts collected from PubMed. Our best unsupervised algorithm (multilevel-weighted graph clustering algorithm) performs very well on the task, obtaining over 0.70 F scores for most IS categories when applied to well-known IS schemes. This level of performance is close to that of lightly supervised IS methods and has proven sufficient to aid a range of practical tasks. Thus, using an unsupervised approach, IS could be applied to support a wide range of tasks across sub-domains of biomedicine. We also demonstrate that unsupervised learning brings novel insights into IS of biomedical literature and discovers information categories that are not present in any of the existing IS schemes. The annotated corpus and software are available at http://www.cl.cam.ac.uk/∼dk427/bio14info.html. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Information Extraction for Clinical Data Mining: A Mammography Case Study

PubMed Central

Nassif, Houssam; Woods, Ryan; Burnside, Elizabeth; Ayvaci, Mehmet; Shavlik, Jude; Page, David

2013-01-01

Breast cancer is the leading cause of cancer mortality in women between the ages of 15 and 54. During mammography screening, radiologists use a strict lexicon (BI-RADS) to describe and report their findings. Mammography records are then stored in a well-defined database format (NMD). Lately, researchers have applied data mining and machine learning techniques to these databases. They successfully built breast cancer classifiers that can help in early detection of malignancy. However, the validity of these models depends on the quality of the underlying databases. Unfortunately, most databases suffer from inconsistencies, missing data, inter-observer variability and inappropriate term usage. In addition, many databases are not compliant with the NMD format and/or solely consist of text reports. BI-RADS feature extraction from free text and consistency checks between recorded predictive variables and text reports are crucial to addressing this problem. We describe a general scheme for concept information retrieval from free text given a lexicon, and present a BI-RADS features extraction algorithm for clinical data mining. It consists of a syntax analyzer, a concept finder and a negation detector. The syntax analyzer preprocesses the input into individual sentences. The concept finder uses a semantic grammar based on the BI-RADS lexicon and the experts’ input. It parses sentences detecting BI-RADS concepts. Once a concept is located, a lexical scanner checks for negation. Our method can handle multiple latent concepts within the text, filtering out ultrasound concepts. On our dataset, our algorithm achieves 97.7% precision, 95.5% recall and an F1-score of 0.97. It outperforms manual feature extraction at the 5% statistical significance level. PMID:23765123

Information Extraction for Clinical Data Mining: A Mammography Case Study.

PubMed

Nassif, Houssam; Woods, Ryan; Burnside, Elizabeth; Ayvaci, Mehmet; Shavlik, Jude; Page, David

2009-01-01

Breast cancer is the leading cause of cancer mortality in women between the ages of 15 and 54. During mammography screening, radiologists use a strict lexicon (BI-RADS) to describe and report their findings. Mammography records are then stored in a well-defined database format (NMD). Lately, researchers have applied data mining and machine learning techniques to these databases. They successfully built breast cancer classifiers that can help in early detection of malignancy. However, the validity of these models depends on the quality of the underlying databases. Unfortunately, most databases suffer from inconsistencies, missing data, inter-observer variability and inappropriate term usage. In addition, many databases are not compliant with the NMD format and/or solely consist of text reports. BI-RADS feature extraction from free text and consistency checks between recorded predictive variables and text reports are crucial to addressing this problem. We describe a general scheme for concept information retrieval from free text given a lexicon, and present a BI-RADS features extraction algorithm for clinical data mining. It consists of a syntax analyzer, a concept finder and a negation detector. The syntax analyzer preprocesses the input into individual sentences. The concept finder uses a semantic grammar based on the BI-RADS lexicon and the experts' input. It parses sentences detecting BI-RADS concepts. Once a concept is located, a lexical scanner checks for negation. Our method can handle multiple latent concepts within the text, filtering out ultrasound concepts. On our dataset, our algorithm achieves 97.7% precision, 95.5% recall and an F 1 -score of 0.97. It outperforms manual feature extraction at the 5% statistical significance level.

Open source OCR framework using mobile devices

NASA Astrophysics Data System (ADS)

Zhou, Steven Zhiying; Gilani, Syed Omer; Winkler, Stefan

2008-02-01

Mobile phones have evolved from passive one-to-one communication device to powerful handheld computing device. Today most new mobile phones are capable of capturing images, recording video, and browsing internet and do much more. Exciting new social applications are emerging on mobile landscape, like, business card readers, sing detectors and translators. These applications help people quickly gather the information in digital format and interpret them without the need of carrying laptops or tablet PCs. However with all these advancements we find very few open source software available for mobile phones. For instance currently there are many open source OCR engines for desktop platform but, to our knowledge, none are available on mobile platform. Keeping this in perspective we propose a complete text detection and recognition system with speech synthesis ability, using existing desktop technology. In this work we developed a complete OCR framework with subsystems from open source desktop community. This includes a popular open source OCR engine named Tesseract for text detection & recognition and Flite speech synthesis module, for adding text-to-speech ability.

Effect of Age on Variability in the Production of Text-Based Global Inferences

PubMed Central

Williams, Lynne J.; Dunlop, Joseph P.; Abdi, Hervé

2012-01-01

As we age, our differences in cognitive skills become more visible, an effect especially true for memory and problem solving skills (i.e., fluid intelligence). However, by contrast with fluid intelligence, few studies have examined variability in measures that rely on one’s world knowledge (i.e., crystallized intelligence). The current study investigated whether age increased the variability in text based global inference generation–a measure of crystallized intelligence. Global inference generation requires the integration of textual information and world knowledge and can be expressed as a gist or lesson. Variability in generating two global inferences for a single text was examined in young-old (62 to 69 years), middle-old (70 to 76 years) and old-old (77 to 94 years) adults. The older two groups showed greater variability, with the middle elderly group being most variable. These findings suggest that variability may be a characteristic of both fluid and crystallized intelligence in aging. PMID:22590523

The Distribution of the Informative Intensity of the Text in Terms of its Structure (On Materials of the English Texts in the Mining Sphere)

NASA Astrophysics Data System (ADS)

Znikina, Ludmila; Rozhneva, Elena

2017-11-01

The article deals with the distribution of informative intensity of the English-language scientific text based on its structural features contributing to the process of formalization of the scientific text and the preservation of the adequacy of the text with derived semantic information in relation to the primary. Discourse analysis is built on specific compositional and meaningful examples of scientific texts taken from the mining field. It also analyzes the adequacy of the translation of foreign texts into another language, the relationships between elements of linguistic systems, the degree of a formal conformance, translation with the specific objectives and information needs of the recipient. Some key words and ideas are emphasized in the paragraphs of the English-language mining scientific texts. The article gives the characteristic features of the structure of paragraphs of technical text and examples of constructions in English scientific texts based on a mining theme with the aim to explain the possible ways of their adequate translation.

Robots versus Spaceships: The Role of Discussion in Kindergartners' and Second Graders' Preferences for Science Text.

ERIC Educational Resources Information Center

Horowitz, Rosalind; Freeman, Susan H.

1995-01-01

Investigates how discussion influences young children's preferences for science texts. Finds that discussion can result in the preference for a science text that students may initially find of limited interest or even unappealing. (SR)

Dr Google Is Here to Stay but Health Care Professionals Are Still Valued: An Analysis of Health Care Consumers' Internet Navigation Support Preferences.

PubMed

Lee, Kenneth; Hoti, Kreshnik; Hughes, Jeffery David; Emmerton, Lynne

2017-06-14

The Internet offers great opportunities for consumers to be informed about their health. However, concerns have been raised regarding its impact on the traditional health consumer-health professional relationship. Our recent survey of 400 Australian adults identified that over half of consumers required some form of navigational support in locating appropriate Web-based health information. We propose that support provided by health professionals would be preferred by consumers; this preference is regardless of whether consumers have a need for navigational support. Secondary analysis of the survey dataset is presented here to quantify consumer-reported support preferences and barriers when navigating Web-based health information. We aimed to quantitatively identify consumers' support preferences for locating Web-based health information and their barriers when navigating Web-based health information. We also aimed to compare such preferences and barriers between consumers identified as needing and not needing support when locating Web-based health information. Chi-square (χ 2 ) tests identified whether each listed support preference differed between subgroups of consumers classified as needing (n=205, 51.3%) or not needing (n=195, 48.8%) navigational support; degree of association, via phi coefficient (φ) tests, were also considered to ascertain the likely practical significance of any differences. This was repeated for each listed barrier. Free-text responses regarding additional support preferences were descriptively analyzed and compared with the quantitative findings to provide a richer understanding of desired support for health information searches. Of the 400 respondents, the most preferred mode of navigational support was involvement of health professionals; this was reported by participants identified as needing and not needing navigational support. While there was a significant difference between groups, the degree of association was small (χ 2 1 [N=400]=13.2; P<.001; φ=.18). Qualitative data from the free-text responses supported consumers' desire for health professional involvement. The two most commonly reported barriers when navigating desired Web-based health information were (1) volume of available information and (2) inconsistency of information between sources; these were reported by participants with and without a need for navigational support. While participants identified with a need for navigational support were more likely to report volume (χ 2 1 [N=387]= 4.40; P=.04; φ=.11) and inconsistency of information (χ 2 1 [N=387]= 16.10, P<.001, φ=.20) as barriers, the degrees of association were small to moderate. Despite concerns in the literature that the popularity of the Internet could compromise the health consumer-health professional relationship, our findings suggest the contrary. Our findings showed that health professionals were found to be the most commonly preferred mode of navigational support, even among consumers classified as not needing navigational support. Further research into how health professionals could assist consumers with Web-based health information seeking could strengthen the health consumer-health professional relationship amidst the growing use of "Dr Google." ©Kenneth Lee, Kreshnik Hoti, Jeffery David Hughes, Lynne Emmerton. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 14.06.2017.

Dr Google Is Here to Stay but Health Care Professionals Are Still Valued: An Analysis of Health Care Consumers’ Internet Navigation Support Preferences

PubMed Central

Hoti, Kreshnik; Hughes, Jeffery David; Emmerton, Lynne

2017-01-01

Background The Internet offers great opportunities for consumers to be informed about their health. However, concerns have been raised regarding its impact on the traditional health consumer-health professional relationship. Our recent survey of 400 Australian adults identified that over half of consumers required some form of navigational support in locating appropriate Web-based health information. We propose that support provided by health professionals would be preferred by consumers; this preference is regardless of whether consumers have a need for navigational support. Secondary analysis of the survey dataset is presented here to quantify consumer-reported support preferences and barriers when navigating Web-based health information. Objective We aimed to quantitatively identify consumers’ support preferences for locating Web-based health information and their barriers when navigating Web-based health information. We also aimed to compare such preferences and barriers between consumers identified as needing and not needing support when locating Web-based health information. Methods Chi-square (χ2) tests identified whether each listed support preference differed between subgroups of consumers classified as needing (n=205, 51.3%) or not needing (n=195, 48.8%) navigational support; degree of association, via phi coefficient (φ) tests, were also considered to ascertain the likely practical significance of any differences. This was repeated for each listed barrier. Free-text responses regarding additional support preferences were descriptively analyzed and compared with the quantitative findings to provide a richer understanding of desired support for health information searches. Results Of the 400 respondents, the most preferred mode of navigational support was involvement of health professionals; this was reported by participants identified as needing and not needing navigational support. While there was a significant difference between groups, the degree of association was small (χ21 [N=400]=13.2; P<.001; φ=.18). Qualitative data from the free-text responses supported consumers’ desire for health professional involvement. The two most commonly reported barriers when navigating desired Web-based health information were (1) volume of available information and (2) inconsistency of information between sources; these were reported by participants with and without a need for navigational support. While participants identified with a need for navigational support were more likely to report volume (χ21 [N=387]= 4.40; P=.04; φ=.11) and inconsistency of information (χ21 [N=387]= 16.10, P<.001, φ=.20) as barriers, the degrees of association were small to moderate. Conclusions Despite concerns in the literature that the popularity of the Internet could compromise the health consumer-health professional relationship, our findings suggest the contrary. Our findings showed that health professionals were found to be the most commonly preferred mode of navigational support, even among consumers classified as not needing navigational support. Further research into how health professionals could assist consumers with Web-based health information seeking could strengthen the health consumer-health professional relationship amidst the growing use of “Dr Google.” PMID:28615156

ITRI Informational Text Reading Inventory: Grade 5 Teacher Guide

ERIC Educational Resources Information Center

Center for Innovation in Assessment (NJ1), 2013

2013-01-01

The Grade 5 Informational Text Reading Inventory (ITRI) was developed to address the specific reading challenges that grade 5 students encounter when reading their textbooks and other informational text. In fifth grade, students are expected not only to comprehend difficult passages, but also to extend their comprehension through drawing…

Teaching Scientific Metaphors through Informational Text Read-Alouds

ERIC Educational Resources Information Center

Barnes, Erica M.; Oliveira, Alandeom W.

2018-01-01

Elementary students are expected to use various features of informational texts to build knowledge in the content areas. In science informational texts, scientific metaphors are commonly used to make sense of complex and invisible processes. Although elementary students may be familiar with literary metaphors as used in narratives, they may be…

Information Structures and Pedagogic Applications.

ERIC Educational Resources Information Center

Chambers, F.

The underlying structure of meaning in a text is to a certain extent belied by the surface structure, or sequential organization, of the text. The underlying information structures (IS) organize information according to cognitive and cultural factors. It may be demonstrated that just three major IS with various subvarieties can describe any text:…

Genomics: The Science and Technology Behind the Human Genome Project (by Charles R. Cantor and Cassandra L. Smith)

NASA Astrophysics Data System (ADS)

Serra, Reviewed By Martin J.

2000-01-01

Genomics is one of the most rapidly expanding areas of science. This book is an outgrowth of a series of lectures given by one of the former heads (CRC) of the Human Genome Initiative. The book is designed to reach a wide audience, from biologists with little chemical or physical science background through engineers, computer scientists, and physicists with little current exposure to the chemical or biological principles of genetics. The text starts with a basic review of the chemical and biological properties of DNA. However, without either a biochemistry background or a supplemental biochemistry text, this chapter and much of the rest of the text would be difficult to digest. The second chapter is designed to put DNA into the context of the larger chromosomal unit. Specialized chromosomal structures and sequences (centromeres, telomeres) are introduced, leading to a section on chromosome organization and purification. The next 4 chapters cover the physical (hybridization, electrophoresis), chemical (polymerase chain reaction), and biological (genetic) techniques that provide the backbone of genomic analysis. These chapters cover in significant detail the fundamental principles underlying each technique and provide a firm background for the remainder of the text. Chapters 7­9 consider the need and methods for the development of physical maps. Chapter 7 primarily discusses chromosomal localization techniques, including in situ hybridization, FISH, and chromosome paintings. The next two chapters focus on the development of libraries and clones. In particular, Chapter 9 considers the limitations of current mapping and clone production. The current state and future of DNA sequencing is covered in the next three chapters. The first considers the current methods of DNA sequencing - especially gel-based methods of analysis, although other possible approaches (mass spectrometry) are introduced. Much of the chapter addresses the limitations of current methods, including analysis of error in sequencing and current bottlenecks in the sequencing effort. The next chapter describes the steps necessary to scale current technologies for the sequencing of entire genomes. Chapter 12 examines alternate methods for DNA sequencing. Initially, methods of single-molecule sequencing and sequencing by microscopy are introduced; the majority of the chapter is devoted to the development of DNA sequencing methods using chip microarrays and hybridization. The remaining chapters (13-15) consider the uses and analysis of DNA sequence information. The initial focus is on the identification of genes. Several examples are given of the use of DNA sequence information for diagnosis of inherited or infectious diseases. The sequence-specific manipulation of DNA is discussed in Chapter 14. The final chapter deals with the implications of large-scale sequencing, including methods for identifying genes and finding errors in DNA sequences, to the development of computer algorithms for the interpretation of DNA sequence information. The text figures are black and white line drawings that, although clearly done, seem a bit primitive for 1999. While I appreciated the simplicity of the drawings, many students accustomed to more colorful presentations will find them wanting. The four color figures in the center of the text seem an afterthought and add little to the text's clarity. Each chapter has a set of additional reading sources, mostly primary sources. Often, specialized topics are offset into boxes that provide clarification and amplification without cluttering the text. An appendix includes a list of the Web-based database resources. As an undergraduate instructor who has previously taught biochemistry, molecular biology, and a course on the human genome, I found many interesting tidbits and amplifications throughout the text. I would recommend this book as a text for an advanced undergraduate or beginning graduate course in genomics. Although the text works though several examples of genetic and genome analysis, additional problem/homework sets would need to be developed to ensure student comprehension. The text steers clear of the ethical implications of the Human Genome Initiative and remains true to its subtitle The Science and Technology .

Developing a culturally responsive breast cancer screening promotion with Native Hawaiian women in churches.

PubMed

Ka'opua, Lana Sue

2008-08-01

This article presents findings from research to develop the promotional component of a breast cancer screening program for Native Hawaiian women associated with historically Hawaiian churches in medically underserved communities.The literature on adherence to health recommendations and health promotions marketing guided inquiry on screening influences. Focus groups and individual interviews patterned on the culturally familiar practice of talk story were conducted with 60 Hawaiian women recruited through religious and social organizations.Text data were analyzed with an incremental process involving content analysis and Airhihenbuwa's PEN-3 model. Key informants and senior colleagues reviewed preliminary findings to ensure accuracy of interpretation. Findings reflect collectivist values at the intersection of indigenous Hawaiian culture and religiosity. Inclusion of messages that encourage holistic health across the intergenerational continuum of extended family and fictive kin, reinforcement from spiritual leaders, and testimonials of cancer survivors and family members may facilitate Hawaiian women's screening intent.

Developing a Culturally Responsive Breast Cancer Screening Promotion with Native Hawaiian Women in Churches

PubMed Central

Ka’opua, Lana Sue

2010-01-01

This article presents findings from research to develop the promotional component of a breast cancer screening program for Native Hawaiian women associated with historically Hawaiian churches in medically underserved communities. The literature on adherence to health recommendations and health promotions marketing guided inquiry on screening influences. Focus groups and individual interviews patterned on the culturally familiar practice of talk story were conducted with 60 Hawaiian women recruited through religious and social organizations. Text data were analyzed with an incremental process involving content analysis and Airhihenbuwa’s PEN-3 model. Key informants and senior colleagues reviewed preliminary findings to ensure accuracy of interpretation. Findings reflect collectivist values at the intersection of indigenous Hawaiian culture and religiosity. Inclusion of messages that encourage holistic health across the intergenerational continuum of extended family and fictive kin, reinforcement from spiritual leaders, and testimonials of cancer survivors and family members may facilitate Hawaiian women’s screening intent. PMID:18773792

Military Legislation: Explaining Military Officers’ Writing Deficiencies

DTIC Science & Technology

2016-06-01

A Cognitive Process Theory of Writing,” College Composition and Communication 32, no. 4 (December... Informative essay • Personal response to a text • Informative website • Literacy narrative posted to a blog • Critique of a text • Critique of...Fowler and Aaron: • Informative essay • Personal response to a text • Informative website • Literacy narrative posted to a blog • Critique of a

Probing the Topological Properties of Complex Networks Modeling Short Written Texts

PubMed Central

Amancio, Diego R.

2015-01-01

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. PMID:25719799

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

DOEpatents

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.

Analysis of the project synthesis goal cluster orientation and inquiry emphasis of elementary science textbooks

NASA Astrophysics Data System (ADS)

Staver, John R.; Bay, Mary

The purpose of this descriptive study was to examine selected units of commonly used elementary science texts, using the Project Synthesis goal clusters as a framework for part of the examination. An inquiry classification scheme was used for the remaining segment. Four questions were answered: (1) To what extent do elementary science textbooks focus on each Project Synthesis goal cluster? (2) In which part of the text is such information found? (3) To what extent are the activities and experiments merely verifications of information already introduced in the text? (4) If inquiry is present in an activity, then what is the level of such inquiry?Eleven science textbook series, which comprise approximately 90 percent of the national market, were selected for analysis. Two units, one primary (K-3) and one intermediate (4-6), were selected for analysis by first identifying units common to most series, then randomly selecting one primary and one intermediate unit for analysis.Each randomly selected unit was carefully read, using the sentence as the unit of analysis. Each declarative and interrogative sentence in the body of the text was classified as: (1) academic; (2) personal; (3) career; or (4) societal in its focus. Each illustration, except those used in evaluation items, was similarly classified. Each activity/experiment and each miscellaneous sentence in end-of-chapter segments labelled review, summary, evaluation, etc., were similarly classified. Finally, each activity/experiment, as a whole, was categorized according to a four-category inquiry scheme (confirmation, structured inquiry, guided inquiry, open inquiry).In general, results of the analysis are: (1) most text prose focuses on academic science; (2) most remaining text prose focuses on the personal goal cluster; (3) the career and societal goal clusters receive only minor attention; (4) text illustrations exhibit a pattern similar to text prose; (5) text activities/experiments are academic in orientation, almost to the exclusion of other goal clusters; (6) end-of-chapter sentences are largely academic; (7) inquiry is absent or present only in limited forms in text activities/experiments; and (8) texts allocate only a minor portion of space to activities/experiments. Detailed findings are given as numeral, percentage, and decimal values. Discussion focuses on the implications of the results and a comparison of NSTA recommendations with the results of this analysis.

Pedagogic discourse in introductory classes: Multi-dimensional analysis of textbooks and lectures in biology and macroeconomics

NASA Astrophysics Data System (ADS)

Carkin, Susan

The broad goal of this study is to represent the linguistic variation of textbooks and lectures, the primary input for student learning---and sometimes the sole input in the large introductory classes which characterize General Education at many state universities. Computer techniques are used to analyze a corpus of textbooks and lectures from first-year university classes in macroeconomics and biology. These spoken and written variants are compared to each other as well as to benchmark texts from other multi-dimensional studies in order to examine their patterns, relations, and functions. A corpus consisting of 147,000 words was created from macroeconomics and biology lectures at a medium-large state university and from a set of nationally "best-selling" textbooks used in these same introductory survey courses. The corpus was analyzed using multi-dimensional methodology (Biber, 1988). The analysis consists of both empirical and qualitative phases. Quantitative analyses are undertaken on the linguistic features, their patterns of co-occurrence, and on the contextual elements of classrooms and textbooks. The contextual analysis is used to functionally interpret the statistical patterns of co-occurrence along five dimensions of textual variation, demonstrating patterns of difference and similarity with reference to text excerpts. Results of the analysis suggest that academic discourse is far from monolithic. Pedagogic discourse in introductory classes varies by modality and discipline, but not always in the directions expected. In the present study the most abstract texts were biology lectures---more abstract than written genres of academic prose and more abstract than introductory textbooks. Academic lectures in both disciplines, monologues which carry a heavy informational load, were extremely interactive, more like conversation than academic prose. A third finding suggests that introductory survey textbooks differ from those used in upper division classes by being relatively less marked for information density, abstraction, and non-overt argumentation. In addition to the findings mentioned here, numerous other relationships among the texts exhibit complex patterns of variation related to a number of situational variables. Pedagogical implications are discussed in relation to General Education courses, differing student populations, and the reading and listening demands which students encounter in large introductory classes in the university.

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

PubMed

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

2012-10-01

In biological research, establishing the prior art by searching and collecting information already present in the domain has equal importance as the experiments done. To obtain a complete overview about the relevant knowledge, researchers mainly rely on 2 major information sources: i) various biological databases and ii) scientific publications in the field. The major difference between the 2 information sources is that information from databases is available, typically well structured and condensed. The information content in scientific literature is vastly unstructured; that is, dispersed among the many different sections of scientific text. The traditional method of information extraction from scientific literature occurs by generating a list of relevant publications in the field of interest and manually scanning these texts for relevant information, which is very time consuming. It is more than likely that in using this "classical" approach the researcher misses some relevant information mentioned in the literature or has to go through biological databases to extract further information. Text mining and named entity recognition methods have already been used in human genomics and related fields as a solution to this problem. These methods can process and extract information from large volumes of scientific text. Text mining is defined as the automatic extraction of previously unknown and potentially useful information from text. Named entity recognition (NER) is defined as the method of identifying named entities (names of real world objects; for example, gene/protein names, drugs, enzymes) in text. In animal sciences, text mining and related methods have been briefly used in murine genomics and associated fields, leaving behind other fields of animal sciences, such as livestock genomics. The aim of this work was to develop an information retrieval platform in the livestock domain focusing on livestock publications and the recognition of relevant data from cattle and pigs. For this purpose, the rather noncomprehensive resources of pig and cattle gene and protein terminologies were enriched with orthologue synonyms, integrated in the NER platform, ProMiner, which is successfully used in human genomics domain. Based on the performance tests done, the present system achieved a fair performance with precision 0.64, recall 0.74, and F(1) measure of 0.69 in a test scenario based on cattle literature.

Using text mining techniques to extract phenotypic information from the PhenoCHF corpus

PubMed Central

2015-01-01

Background Phenotypic information locked away in unstructured narrative text presents significant barriers to information accessibility, both for clinical practitioners and for computerised applications used for clinical research purposes. Text mining (TM) techniques have previously been applied successfully to extract different types of information from text in the biomedical domain. They have the potential to be extended to allow the extraction of information relating to phenotypes from free text. Methods To stimulate the development of TM systems that are able to extract phenotypic information from text, we have created a new corpus (PhenoCHF) that is annotated by domain experts with several types of phenotypic information relating to congestive heart failure. To ensure that systems developed using the corpus are robust to multiple text types, it integrates text from heterogeneous sources, i.e., electronic health records (EHRs) and scientific articles from the literature. We have developed several different phenotype extraction methods to demonstrate the utility of the corpus, and tested these methods on a further corpus, i.e., ShARe/CLEF 2013. Results Evaluation of our automated methods showed that PhenoCHF can facilitate the training of reliable phenotype extraction systems, which are robust to variations in text type. These results have been reinforced by evaluating our trained systems on the ShARe/CLEF corpus, which contains clinical records of various types. Like other studies within the biomedical domain, we found that solutions based on conditional random fields produced the best results, when coupled with a rich feature set. Conclusions PhenoCHF is the first annotated corpus aimed at encoding detailed phenotypic information. The unique heterogeneous composition of the corpus has been shown to be advantageous in the training of systems that can accurately extract phenotypic information from a range of different text types. Although the scope of our annotation is currently limited to a single disease, the promising results achieved can stimulate further work into the extraction of phenotypic information for other diseases. The PhenoCHF annotation guidelines and annotations are publicly available at https://code.google.com/p/phenochf-corpus. PMID:26099853

Using text mining techniques to extract phenotypic information from the PhenoCHF corpus.

PubMed

Alnazzawi, Noha; Thompson, Paul; Batista-Navarro, Riza; Ananiadou, Sophia

2015-01-01

Phenotypic information locked away in unstructured narrative text presents significant barriers to information accessibility, both for clinical practitioners and for computerised applications used for clinical research purposes. Text mining (TM) techniques have previously been applied successfully to extract different types of information from text in the biomedical domain. They have the potential to be extended to allow the extraction of information relating to phenotypes from free text. To stimulate the development of TM systems that are able to extract phenotypic information from text, we have created a new corpus (PhenoCHF) that is annotated by domain experts with several types of phenotypic information relating to congestive heart failure. To ensure that systems developed using the corpus are robust to multiple text types, it integrates text from heterogeneous sources, i.e., electronic health records (EHRs) and scientific articles from the literature. We have developed several different phenotype extraction methods to demonstrate the utility of the corpus, and tested these methods on a further corpus, i.e., ShARe/CLEF 2013. Evaluation of our automated methods showed that PhenoCHF can facilitate the training of reliable phenotype extraction systems, which are robust to variations in text type. These results have been reinforced by evaluating our trained systems on the ShARe/CLEF corpus, which contains clinical records of various types. Like other studies within the biomedical domain, we found that solutions based on conditional random fields produced the best results, when coupled with a rich feature set. PhenoCHF is the first annotated corpus aimed at encoding detailed phenotypic information. The unique heterogeneous composition of the corpus has been shown to be advantageous in the training of systems that can accurately extract phenotypic information from a range of different text types. Although the scope of our annotation is currently limited to a single disease, the promising results achieved can stimulate further work into the extraction of phenotypic information for other diseases. The PhenoCHF annotation guidelines and annotations are publicly available at https://code.google.com/p/phenochf-corpus.

Interruptions disrupt reading comprehension.

PubMed

Foroughi, Cyrus K; Werner, Nicole E; Barragán, Daniela; Boehm-Davis, Deborah A

2015-06-01

Previous research suggests that being interrupted while reading a text does not disrupt the later recognition or recall of information from that text. This research is used as support for Ericsson and Kintsch's (1995) long-term working memory (LT-WM) theory, which posits that disruptions while reading (e.g., interruptions) do not impair subsequent text comprehension. However, to fully comprehend a text, individuals may need to do more than recognize or recall information that has been presented in the text at a later time. Reading comprehension often requires individuals to connect and synthesize information across a text (e.g., successfully identifying complex topics such as themes and tones) and not just make a familiarity-based decision (i.e., recognition). The goal for this study was to determine whether interruptions while reading disrupt reading comprehension when the questions assessing comprehension require participants to connect and synthesize information across the passage. In Experiment 1, interruptions disrupted reading comprehension. In Experiment 2, interruptions disrupted reading comprehension but not recognition of information from the text. In Experiment 3, the addition of a 15-s time-out prior to the interruption successfully removed these negative effects. These data suggest that the time it takes to process the information needed to successfully comprehend text when reading is greater than that required for recognition. Any interference (e.g., an interruption) that occurs during the comprehension process may disrupt reading comprehension. This evidence supports the need for transient activation of information in working memory for successful text comprehension and does not support LT-WM theory. (c) 2015 APA, all rights reserved).

Time-dependent analysis of dosage delivery information for patient-controlled analgesia services.

PubMed

Kuo, I-Ting; Chang, Kuang-Yi; Juan, De-Fong; Hsu, Steen J; Chan, Chia-Tai; Tsou, Mei-Yung

2018-01-01

Pain relief always plays the essential part of perioperative care and an important role of medical quality improvement. Patient-controlled analgesia (PCA) is a method that allows a patient to self-administer small boluses of analgesic to relieve the subjective pain. PCA logs from the infusion pump consisted of a lot of text messages which record all events during the therapies. The dosage information can be extracted from PCA logs to provide easily understanding features. The analysis of dosage information with time has great help to figure out the variance of a patient's pain relief condition. To explore the trend of pain relief requirement, we developed a PCA dosage information generator (PCA DIG) to extract meaningful messages from PCA logs during the first 48 hours of therapies. PCA dosage information including consumption, delivery, infusion rate, and the ratio between demand and delivery is presented with corresponding values in 4 successive time frames. Time-dependent statistical analysis demonstrated the trends of analgesia requirements decreased gradually along with time. These findings are compatible with clinical observations and further provide valuable information about the strategy to customize postoperative pain management.

Assessment of Burmese Refugee Students' Meaning Making of Scientific Informational Texts

ERIC Educational Resources Information Center

Croce, Keri-Anne

2014-01-01

This two and a half year study examines how non-native English-speaking Burmese refugee students from first to third grades made meaning of scientific informational texts. The study is framed by sociocultural theory and transactional theory. Primary data were drawn from 160 student retellings of scientific informational texts. Secondary data…

Teaching Students to Compose Informational Poetic Riddles to Further Scientific Understanding

ERIC Educational Resources Information Center

Frye, Elizabeth M.; Bradbury, Leslie; Gross, Lisa A.

2016-01-01

In most elementary schools, students spend more time reading and writing narrative texts and less time with informational texts. Yet, the Common Core State Standards advocate that informational texts comprise nearly half of K-8 students' entire academic reading, including content areas like science and social studies. The authors propose remixing…

Tagline: Information Extraction for Semi-Structured Text Elements in Medical Progress Notes

ERIC Educational Resources Information Center

Finch, Dezon Kile

2012-01-01

Text analysis has become an important research activity in the Department of Veterans Affairs (VA). Statistical text mining and natural language processing have been shown to be very effective for extracting useful information from medical documents. However, neither of these techniques is effective at extracting the information stored in…

A Developmental Perspective on the Relationship between Grammar and Text.

ERIC Educational Resources Information Center

Kenkel, James; Yates, Robert

2003-01-01

Presents a developmental perspective on text construction, understood as managing information within and across sentence boundaries. Claims that the systematicity in non-standard constructions in basic writer's texts reflects student awareness of three obligatory areas of information management in texts: topic management, reference tracking, and…

Documents Similarity Measurement Using Field Association Terms.

ERIC Educational Resources Information Center

Atlam, El-Sayed; Fuketa, M.; Morita, K.; Aoe, Jun-ichi

2003-01-01

Discussion of text analysis and information retrieval and measurement of document similarity focuses on a new text manipulation system called FA (field association)-Sim that is useful for retrieving information in large heterogeneous texts and for recognizing content similarity in text excerpts. Discusses recall and precision, automatic indexing…

Discovery stories in the science classroom

NASA Astrophysics Data System (ADS)

Arya, Diana Jaleh

School science has been criticized for its lack of emphasis on the tentative, dynamic nature of science as a process of learning more about our world. This criticism is the guiding force for this present body of work, which focuses on the question: what are the educational benefits for middle school students of reading texts that highlight the process of science in the form of a discovery narrative? This dissertation traces my journey through a review of theoretical perspectives of narrative, an analysis of first-hand accounts of scientific discovery, the complex process of developing age-appropriate, cohesive and engaging science texts for middle school students, and a comparison study (N=209) that seeks to determine the unique benefits of the scientific discovery narrative for the interest in and retained understanding of conceptual information presented in middle school science texts. A total of 209 middle school participants in nine different classrooms from two different schools participated in the experimental study. Each subject read two science texts that differed in topic (the qualities of and uses for radioactive elements and the use of telescopic technology to see planets in space) and genre (the discovery narrative and the "conceptually known exposition" comparison text). The differences between the SDN and CKE versions for each topic were equivalent in all possible ways (initial introduction, overall conceptual accuracy, elements of human interest, coherence and readability level), save for the unique components of the discovery narrative (i.e., love for their work, acknowledgement of the known, identification of the unknown and the explorative or experimental process to discovery). Participants generally chose the discovery narrative version as the more interesting of the two texts. Additional findings from the experimental study suggest that science texts in the form of SDNs elicit greater long-term retention of key conceptual information, especially when the readers have little prior knowledge of a given topic. Further, ethnic minority groups of lower socio-economic level (i.e., Latin and African-American origins) demonstrated an even greater benefit from the SDN texts, suggesting that a scientist's story of discovery can help to close the gap in academic performance in science.

Linguistic feature analysis for protein interaction extraction

PubMed Central

2009-01-01

Background The rapid growth of the amount of publicly available reports on biomedical experimental results has recently caused a boost of text mining approaches for protein interaction extraction. Most approaches rely implicitly or explicitly on linguistic, i.e., lexical and syntactic, data extracted from text. However, only few attempts have been made to evaluate the contribution of the different feature types. In this work, we contribute to this evaluation by studying the relative importance of deep syntactic features, i.e., grammatical relations, shallow syntactic features (part-of-speech information) and lexical features. For this purpose, we use a recently proposed approach that uses support vector machines with structured kernels. Results Our results reveal that the contribution of the different feature types varies for the different data sets on which the experiments were conducted. The smaller the training corpus compared to the test data, the more important the role of grammatical relations becomes. Moreover, deep syntactic information based classifiers prove to be more robust on heterogeneous texts where no or only limited common vocabulary is shared. Conclusion Our findings suggest that grammatical relations play an important role in the interaction extraction task. Moreover, the net advantage of adding lexical and shallow syntactic features is small related to the number of added features. This implies that efficient classifiers can be built by using only a small fraction of the features that are typically being used in recent approaches. PMID:19909518

Ad Hoc Information Extraction for Clinical Data Warehouses.

PubMed

Dietrich, Georg; Krebs, Jonathan; Fette, Georg; Ertl, Maximilian; Kaspar, Mathias; Störk, Stefan; Puppe, Frank

2018-05-01

Clinical Data Warehouses (CDW) reuse Electronic health records (EHR) to make their data retrievable for research purposes or patient recruitment for clinical trials. However, much information are hidden in unstructured data like discharge letters. They can be preprocessed and converted to structured data via information extraction (IE), which is unfortunately a laborious task and therefore usually not available for most of the text data in CDW. The goal of our work is to provide an ad hoc IE service that allows users to query text data ad hoc in a manner similar to querying structured data in a CDW. While search engines just return text snippets, our systems also returns frequencies (e.g. how many patients exist with "heart failure" including textual synonyms or how many patients have an LVEF < 45) based on the content of discharge letters or textual reports for special investigations like heart echo. Three subtasks are addressed: (1) To recognize and to exclude negations and their scopes, (2) to extract concepts, i.e. Boolean values and (3) to extract numerical values. We implemented an extended version of the NegEx-algorithm for German texts that detects negations and determines their scope. Furthermore, our document oriented CDW PaDaWaN was extended with query functions, e.g. context sensitive queries and regex queries, and an extraction mode for computing the frequencies for Boolean and numerical values. Evaluations in chest X-ray reports and in discharge letters showed high F1-scores for the three subtasks: Detection of negated concepts in chest X-ray reports with an F1-score of 0.99 and in discharge letters with 0.97; of Boolean values in chest X-ray reports about 0.99, and of numerical values in chest X-ray reports and discharge letters also around 0.99 with the exception of the concept age. The advantages of an ad hoc IE over a standard IE are the low development effort (just entering the concept with its variants), the promptness of the results and the adaptability by the user to his or her particular question. Disadvantage are usually lower accuracy and confidence.This ad hoc information extraction approach is novel and exceeds existing systems: Roogle [1] extracts predefined concepts from texts at preprocessing and makes them retrievable at runtime. Dr. Warehouse [2] applies negation detection and indexes the produced subtexts which include affirmed findings. Our approach combines negation detection and the extraction of concepts. But the extraction does not take place during preprocessing, but at runtime. That provides an ad hoc, dynamic, interactive and adjustable information extraction of random concepts and even their values on the fly at runtime. We developed an ad hoc information extraction query feature for Boolean and numerical values within a CDW with high recall and precision based on a pipeline that detects and removes negations and their scope in clinical texts. Schattauer GmbH.

Representing nested semantic information in a linear string of text using XML.

PubMed

Krauthammer, Michael; Johnson, Stephen B; Hripcsak, George; Campbell, David A; Friedman, Carol

2002-01-01

XML has been widely adopted as an important data interchange language. The structure of XML enables sharing of data elements with variable degrees of nesting as long as the elements are grouped in a strict tree-like fashion. This requirement potentially restricts the usefulness of XML for marking up written text, which often includes features that do not properly nest within other features. We encountered this problem while marking up medical text with structured semantic information from a Natural Language Processor. Traditional approaches to this problem separate the structured information from the actual text mark up. This paper introduces an alternative solution, which tightly integrates the semantic structure with the text. The resulting XML markup preserves the linearity of the medical texts and can therefore be easily expanded with additional types of information.

Representing nested semantic information in a linear string of text using XML.

PubMed Central

Krauthammer, Michael; Johnson, Stephen B.; Hripcsak, George; Campbell, David A.; Friedman, Carol

2002-01-01

XML has been widely adopted as an important data interchange language. The structure of XML enables sharing of data elements with variable degrees of nesting as long as the elements are grouped in a strict tree-like fashion. This requirement potentially restricts the usefulness of XML for marking up written text, which often includes features that do not properly nest within other features. We encountered this problem while marking up medical text with structured semantic information from a Natural Language Processor. Traditional approaches to this problem separate the structured information from the actual text mark up. This paper introduces an alternative solution, which tightly integrates the semantic structure with the text. The resulting XML markup preserves the linearity of the medical texts and can therefore be easily expanded with additional types of information. PMID:12463856

[The occupational physician and communication to workers].

PubMed

Perbellini, L; di Leo, E; Goio, I

2010-01-01

Communication ability is essential for the Physician to the proper management of ambulatory activity and corporate training. The aim of this work is describe the communication strategies to be adopted in everyday healthcare practice. When the occupational physician relates with an employee his message must act both verbal both non-verbal. The medical history should be collected carefully and during the physical examination is important to put the employee at ease by adopting a discreet and attentive attitude. The clinical findings and the capacity to work with any limitations will be discussed at the end of health surveillance using understandable terminology to the worker. During the training-information process is important to define the primary objectives, organize the program and bring the display materials. The worker should be actively involved and encouraged to learn throughout the course information. In the text will also be shown the main aspects of information on line.

Gestational Alcohol Exposure Altered DNA Methylation Status in the Developing Fetus

PubMed Central

Mandal, Chanchal; Halder, Debasish; Jung, Kyoung Hwa; Chai, Young Gyu

2017-01-01

Ethanol is well known as a teratogenic factor that is capable of inducing a wide range of developmental abnormalities if the developing fetus is exposed to it. Duration and dose are the critical parameters of exposure that affect teratogenic variation to the developing fetus. It is suggested that ethanol interferes with epigenetic processes especially DNA methylation. We aimed to organize all of the available information on the alteration of DNA methylation by ethanol in utero. Thus, we have summarized all published information regarding alcohol-mediated alterations in DNA methylation during gestation. We tried to arrange information in a way that anyone can easily find the alcohol exposure time, doses, sampling time, and major changes in genomic level. Manuscript texts will also represent the correlation between ethanol metabolites and subsequent changes in methylome patterns. We hope that this review will help future researchers to further examine the issues associated with ethanol exposure. PMID:28657590

The Ecological Approach to Text Visualization.

ERIC Educational Resources Information Center

Wise, James A.

1999-01-01

Presents both theoretical and technical bases on which to build a "science of text visualization." The Spatial Paradigm for Information Retrieval and Exploration (SPIRE) text-visualization system, which images information from free-text documents as natural terrains, serves as an example of the "ecological approach" in its visual metaphor, its…

[Book review] The wildfowl of Britain and Europe

USGS Publications Warehouse

Krapu, G.L.

1984-01-01

Of about 140 extant species of waterfowl in the world, 54 occur in the western Pale- arctic. In this, his most recent book, Ogilvie introduces the reader to the waterfowl of Europe including occasional visitors and introduced species. Although written primarily for laymen, ornithologists will find the book informative but should not expect a major treatise on European waterfowl. The text is drawn primarily from Volume I of "The hand-book of the birds of Europe, North Africa, and the Middle East: the birds of the Western Palearctic," of which the author was an editor.

Myths and Prehispanic Astronomy: A Look from the Colonial Perspective

NASA Astrophysics Data System (ADS)

Ruiz Gallut, María Elena

2016-11-01

The information from the documents written during colonial times by Spanish friars attempted to provide an overview of the thought of Mesoamerican indigenous societies. These ideas are permanently imprinted religious concepts that ordered the culture, and that signal the efforts of men to find its role in the world and give sense to the astronomical and natural phenomena that are integrated into their religion, particularly in the creation of myths. The generation of the gods, their tasks and areas of action are explored here through the texts of Fray Andres del Olmo.

Generating Researcher Networks with Identified Persons on a Semantic Service Platform

NASA Astrophysics Data System (ADS)

Jung, Hanmin; Lee, Mikyoung; Kim, Pyung; Lee, Seungwoo

This paper describes a Semantic Web-based method to acquire researcher networks by means of identification scheme, ontology, and reasoning. Three steps are required to realize it; resolving co-references, finding experts, and generating researcher networks. We adopt OntoFrame as an underlying semantic service platform and apply reasoning to make direct relations between far-off classes in ontology schema. 453,124 Elsevier journal articles with metadata and full-text documents in information technology and biomedical domains have been loaded and served on the platform as a test set.

The effects of teacher read-alouds and student silent reading on predominantly bilingual high school seniors’ learning and retention of social studies content

PubMed Central

Reed, Deborah K.; Swanson, Elizabeth; Petscher, Yaacov; Vaughn, Sharon

2015-01-01

Teacher read-alouds (TRA) are common in middle and high school content area classes. Because the practice of reading the textbook out loud to students is often used out of concern about students’ ability to understand and learn from text when reading silently (SR), this randomized controlled trial was designed to experimentally manipulate text reading while blocking on all other instructional elements to determine the relative effects on learning content. Predominantly Spanish–English bilingual twelfth-graders (n = 123) were randomly assigned to either a TRA or SR condition and provided 1 week of high quality instruction in US history. Daily lessons included teaching key terms in the passage, previewing text headings, and conducting comprehension checks. Results of immediate, 1-week delayed, and 1-month delayed assessments of content learning revealed no significant differences between the two groups. Students were also asked to rate the method of reading they believed best helped them understand and remember information. Students in the SR condition more consistently agreed that reading silently was beneficial. Findings suggest low performing adolescents of different linguistic backgrounds can learn content as well when reading appropriately challenging text silently as when the teacher reads the text aloud to them. PMID:26346215

Reading direction and the central perceptual span in Urdu and English.

PubMed

Paterson, Kevin B; McGowan, Victoria A; White, Sarah J; Malik, Sameen; Abedipour, Lily; Jordan, Timothy R

2014-01-01

Normal reading relies on the reader making a series of saccadic eye movements along lines of text, separated by brief fixational pauses during which visual information is acquired from a region of text. In English and other alphabetic languages read from left to right, the region from which useful information is acquired during each fixational pause is generally reported to extend further to the right of each fixation than to the left. However, the asymmetry of the perceptual span for alphabetic languages read in the opposite direction (i.e., from right to left) has received much less attention. Accordingly, in order to more fully investigate the asymmetry in the perceptual span for these languages, the present research assessed the influence of reading direction on the perceptual span for bilingual readers of Urdu and English. Text in Urdu and English was presented either entirely as normal or in a gaze-contingent moving-window paradigm in which a region of text was displayed as normal at the reader's point of fixation and text outside this region was obscured. The windows of normal text extended symmetrically 0.5° of visual angle to the left and right of fixation, or asymmetrically by increasing the size of each window to 1.5° or 2.5° to either the left or right of fixation. When participants read English, performance for the window conditions was superior when windows extended to the right. However, when reading Urdu, performance was superior when windows extended to the left, and was essentially the reverse of that observed for English. These findings provide a novel indication that the perceptual span is modified by the language being read to produce an asymmetry in the direction of reading and show for the first time that such an asymmetry occurs for reading Urdu.

mHealth Series: Measuring maternal newborn and child health coverage by text messaging – a county–level model for China

PubMed Central

Zhang, Yanfeng; Chen, Li; van Velthoven, Michelle H. M. M. T.; Wang, Wei; Liu, Li; Du, Xiaozhen; Wu, Qiong; Li, Ye; Car, Josip

2013-01-01

Background Effective interventions in maternal, newborn and child health (MNCH), if achieving high level of population coverage, could prevent most of deaths in children under five years of age. High–quality measurements of MNCH coverage are essential for tracking progress and making evidence–based decisions. Methods MNCH coverage data are mainly collected through fieldworkers’ interview with preselected households in standard programs of Demographic and Health Surveys (DHS) or Multiple Indicator Cluster Surveys (MICS) in most low– and middle–income countries. Household surveys will continue to be the major data source for MNCH coverage in the foreseeable future. However, face–to–face data collection broadly used in household surveys is labor–intensive, time–consuming and expensive. Mobile phones are drawing more and more interest in medical research with the rapid increase in usage and text messaging could be an innovative way of data collection, that is, we could collect DHS data through mHealth method. We refer to it as “mDHS”. Finding We propose in this paper a conceptual model for measuring MNCH coverage by text messaging in China. In developing this model, we considered resource constraints, sample representativeness, sample size and survey bias. The components of the model are text messaging platform, routine health information system, health facilities, communities and households. Conclusions Measuring MNCH interventions coverage by text messaging could be advantageous in many ways and establish a much larger evidence–base for MNCH health policies in China. Before mDHS could indeed be launched, research priorities would include a systematic assessment of routine health information systems and exploring feasibility to collect name lists, mobile phone numbers and general demographic and socio–economic data; qualitative interviews with health workers and caregivers; assessment of data validity of all indicators to be collected by text messaging; and exploring approaches to increase participation rate. PMID:24363920

Challenges and Facilitators to Promoting a Healthy Food Environment and Communicating Effectively with Parents to Improve Food Behaviors of School Children.

PubMed

Luesse, Hiershenee B; Paul, Rachel; Gray, Heewon L; Koch, Pamela; Contento, Isobel; Marsick, Victoria

2018-02-14

Background Childhood obesity is a major public health concern and families play an important role. Improving strategies to reach parents and directing tailored nutrition education to them is needed. Purpose To investigate the challenges and facilitators to promoting a healthy environment at home and to identify communication preferences to inform intervention strategies for effectively reaching low-income urban minority families. Procedure Semi-structured focus group interviews were conducted with four groups involving 16 low-income urban parents (94% female; 88% Hispanic/Latino, 12% African American) of elementary school children. Interviews were transcribed and analyzed applying Social Cognitive Theory and using in-vivo coding. Main Findings The most common barriers to parents providing healthy foods to their children were accommodating child preferences and familial opposition. Parents showed intentionality to engage in healthy behaviors, and often shared procedural knowledge for reaching health goals. The analyses of desired communication channels yielded major preferences: tailored information, information provided through multiple mediums, appropriate duration/frequency of messages, and presented from a voice of authority. Conclusion and Implication While parents expressed desires to be healthy, the home food environment presented substantial challenges. Multi-media supports such as workshops, flyers, and text messaging may be useful to facilitate the sharing of information to minimize the tensions between intentionality and reaching desired goals to be healthy. Some parents thought that information received through text messaging could be easily shared and would act as a voice of authority to support child behavior change.

The role of character-based knowledge in online narrative comprehension: evidence from eye movements and ERPs.

PubMed

Filik, Ruth; Leuthold, Hartmut

2013-04-19

Little is known about the on-line evaluation of information relating to well-known story characters during text comprehension. For example, it is not clear in how much detail readers represent character-based information, and the time course over which this information is utilized during on-line language comprehension. We describe an event-related potential (ERP) study (Experiment 1) and an eye-tracking study (Experiment 2) investigating whether, and when, readers utilize their prior knowledge of a character in processing event information. Participants read materials in which an event was described that either did or did not fit with the character's typical behavior. ERPs elicited by the critical word revealed an N400 effect when the action described did not fit with the character's typical behavior. Results from early eye movement measures supported these findings, and later measures suggested that such violations were more easily accommodated for well-known fictional characters than real-world characters. Copyright © 2013 Elsevier B.V. All rights reserved.

Enhanced hyperuniformity from random reorganization.

PubMed

Hexner, Daniel; Chaikin, Paul M; Levine, Dov

2017-04-25

Diffusion relaxes density fluctuations toward a uniform random state whose variance in regions of volume [Formula: see text] scales as [Formula: see text] Systems whose fluctuations decay faster, [Formula: see text] with [Formula: see text], are called hyperuniform. The larger [Formula: see text], the more uniform, with systems like crystals achieving the maximum value: [Formula: see text] Although finite temperature equilibrium dynamics will not yield hyperuniform states, driven, nonequilibrium dynamics may. Such is the case, for example, in a simple model where overlapping particles are each given a small random displacement. Above a critical particle density [Formula: see text], the system evolves forever, never finding a configuration where no particles overlap. Below [Formula: see text], however, it eventually finds such a state, and stops evolving. This "absorbing state" is hyperuniform up to a length scale [Formula: see text], which diverges at [Formula: see text] An important question is whether hyperuniformity survives noise and thermal fluctuations. We find that hyperuniformity of the absorbing state is not only robust against noise, diffusion, or activity, but that such perturbations reduce fluctuations toward their limiting behavior, [Formula: see text], a uniformity similar to random close packing and early universe fluctuations, but with arbitrary controllable density.

Living Inquiry: Learning from and about Informational Texts in a Second-Grade Classroom

ERIC Educational Resources Information Center

Maloch, Beth; Horsey, Michelle

2013-01-01

This article tells the story of one second grade teacher and the ways she integrated informational texts into her classroom. Reported by the classroom teacher and a researcher who studied her practice for a year, the manuscripts detail the ways Michelle (the classroom teacher) embedded informational texts in her classroom primarily within the…

Selecting Information to Answer Questions: Strategic Individual Differences when Searching Texts

ERIC Educational Resources Information Center

Cerdan, Raquel; Gilabert, Ramiro; Vidal-Abarca, Eduardo

2011-01-01

The purpose of the study was to explore students' selection of information strategies in a task-oriented reading situation. 72 secondary school students read two texts and answered six questions per text, three of which were manipulated to induce a misleading matching between the wording of the question and distracting pieces of information in the…

Diverse Learners' Meaning Making of Informational Texts during Small Group, Peer-Led Discussions

ERIC Educational Resources Information Center

Bajor, Lisa

2017-01-01

The purpose of this qualitative case study is to examine small group, peer-led discussion as it connects to meaning-making of informational texts for diverse learners. Since students in the United States are currently struggling to meet informational text requirements outlined by the Common Core State Standards (National Governors Association…

Using Read-Alouds to Help Struggling Readers Access and Comprehend Complex, Informational Text

ERIC Educational Resources Information Center

Santoro, Lana Edwards; Baker, Scott K.; Fien, Hank; Smith, Jean Louise M.; Chard, David J.

2016-01-01

The use of informational texts in the elementary grades provides a context for helping students develop content understanding and domain knowledge across a wide range of subject matter. Reading informational text also provides students with the language of thought, foundational vocabulary that can be connected to other words, and technical content…

Graphics in Children's Informational Texts: A Content Analysis

ERIC Educational Resources Information Center

Fingeret, Lauren

2012-01-01

This dissertation is comprised of two manuscripts resulting from a single study, which examines a) the types of graphics that appear, and in what frequencies, in children's informational texts, and b) the defining features of different graphics. Graphics are ubiquitous in children's informational texts and a lot is known about the impact…

Availability and Use of Informational Texts in Second-, Third-, and Fourth-Grade Classrooms

ERIC Educational Resources Information Center

Jeong, Jongseong; Gaffney, Janet S.; Choi, Jin-Oh

2010-01-01

A sharp increase in the proportion of informational text with the corresponding expansion of cognitive demands and conceptual structures is a widely held explanation for the decline in reading achievement at the fourth-grade level. In this study, differences in the proportion of informational text across the second, third, and fourth grades were…

The K2 Galactic Archaeology Program Data Release. I. Asteroseismic Results from Campaign 1

NASA Astrophysics Data System (ADS)

Stello, Dennis; Zinn, Joel; Elsworth, Yvonne; Garcia, Rafael A.; Kallinger, Thomas; Mathur, Savita; Mosser, Benoit; Sharma, Sanjib; Chaplin, William J.; Davies, Guy; Huber, Daniel; Jones, Caitlin D.; Miglio, Andrea; Silva Aguirre, Victor

2017-01-01

NASA's K2 mission is observing tens of thousands of stars along the ecliptic, providing data suitable for large-scale asteroseismic analyses to inform galactic archaeology studies. Its first campaign covered a field near the north Galactic cap, a region never covered before by large asteroseismic-ensemble investigations, and was therefore of particular interest for exploring this part of our Galaxy. Here we report the asteroseismic analysis of all stars selected by the K2 Galactic Archaeology Program during the mission's “north Galactic cap” campaign 1. Our consolidated analysis uses six independent methods to measure the global seismic properties, in particular the large frequency separation and the frequency of maximum power. From the full target sample of 8630 stars we find about 1200 oscillating red giants, a number comparable with estimates from galactic synthesis modeling. Thus, as a valuable by-product we find roughly 7500 stars to be dwarfs, which provide a sample well suited for galactic exoplanet occurrence studies because they originate from our simple and easily reproducible selection function. In addition, to facilitate the full potential of the data set for galactic archaeology, we assess the detection completeness of our sample of oscillating red giants. We find that the sample is at least nearly complete for stars with 40 ≲ {ν }\\max /μHz ≲ 270 and {ν }\\max ,{detect}< 2.6× {10}6\\cdot {2}-{\\text{Kp}} μHz. There is a detection bias against helium core burning stars with {ν }\\max ˜ 30 μHz, affecting the number of measurements of {{Δ }}ν and possibly also {ν }\\max . Although we can detect oscillations down to {\\text{Kp}} = 15, our campaign 1 sample lacks enough faint giants to assess the detection completeness for stars fainter than {\\text{Kp}} ˜ 14.5.

An Automated Approach for Ranking Journals to Help in Clinician Decision Support

PubMed Central

Jonnalagadda, Siddhartha R.; Moosavinasab, Soheil; Nath, Chinmoy; Li, Dingcheng; Chute, Christopher G.; Liu, Hongfang

2014-01-01

Point of care access to knowledge from full text journal articles supports decision-making and decreases medical errors. However, it is an overwhelming task to search through full text journal articles and find quality information needed by clinicians. We developed a method to rate journals for a given clinical topic, Congestive Heart Failure (CHF). Our method enables filtering of journals and ranking of journal articles based on source journal in relation to CHF. We also obtained a journal priority score, which automatically rates any journal based on its importance to CHF. Comparing our ranking with data gathered by surveying 169 cardiologists, who publish on CHF, our best Multiple Linear Regression model showed a correlation of 0.880, based on five-fold cross validation. Our ranking system can be extended to other clinical topics. PMID:25954382

Reading for tracing evidence: developing scientific knowledge through science text

NASA Astrophysics Data System (ADS)

Probosari, R. M.; Widyastuti, F.; Sajidan, S.; Suranto, S.; Prayitno, B. A.

2018-05-01

The purposes of this study were to investigate students’ learning progression on reading activity, science concept comprehension and how they imply it in scientific communication in the classroom. Fifty-nine biology education students participated in this study. This classroom research was developed to portray students’ reading activity, factors affecting reading comprehension, and the development of reading motivation. Qualitative analysis was used to describe the whole activities, involve the instruction, process and the product of reading activity. The result concluded that each student has their own way in interpreting the information from scientific text, but generally, they can filter and apply it in their argument as a part of reasoning and evidence. The findings can be used to direct reading activity to the goal of inquiry in order to support the nature of reading as evidence.

Spatial Paradigm for Information Retrieval and Exploration

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

The SPIRE system consists of software for visual analysis of primarily text based information sources. This technology enables the content analysis of text documents without reading all the documents. It employs several algorithms for text and word proximity analysis. It identifies the key themes within the text documents. From this analysis, it projects the results onto a visual spatial proximity display (Galaxies or Themescape) where items (documents and/or themes) visually close to each other are known to have content which is close to each other. Innovative interaction techniques then allow for dynamic visual analysis of large text based information spaces.

SPIRE1.03. Spatial Paradigm for Information Retrieval and Exploration

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

Adams, K.J.; Bohn, S.; Crow, V.

The SPIRE system consists of software for visual analysis of primarily text based information sources. This technology enables the content analysis of text documents without reading all the documents. It employs several algorithms for text and word proximity analysis. It identifies the key themes within the text documents. From this analysis, it projects the results onto a visual spatial proximity display (Galaxies or Themescape) where items (documents and/or themes) visually close to each other are known to have content which is close to each other. Innovative interaction techniques then allow for dynamic visual analysis of large text based information spaces.

The impact of presentation style on the retention of online health information: a randomized-controlled experiment.

PubMed

Frisch, Anne-Linda; Camerini, Luca; Schulz, Peter J

2013-01-01

The Internet plays an increasingly important role in health education, providing laypeople with information about health-related topics that range from disease-specific contexts to general health promotion. Compared to traditional health education, the Internet allows the use of multimedia applications that offer promise to enhance individuals' health knowledge and literacy. This study aims at testing the effect of multimedia presentation of health information on learning. Relying on an experimental design, it investigates how retention of information differs for text-only presentation, image-only presentation, and multimedia (text and image) presentation of online health information. Two hundred and forty students were randomly assigned to four groups each exposed to a different website version. Three groups were exposed to the same information using text only, image only, or text and image presentation. A fourth group received unrelated information (control group). Retention was assessed by the means of a recognition test. To examine a possible interaction between website version and recognition test, half of the students received a recognition test in text form and half of them received a recognition test in imagery form. In line with assumptions from Dual Coding Theory, students exposed to the multimedia (text and image) presentation recognized significantly more information than students exposed to the text-only presentation. This did not hold for students exposed to the image-only presentation. The impact of presentation style on retention scores was moderated by the way retention was assessed for image-only presentation, but not for text-only or multimedia presentation. Possible explanations and implications for the design of online health education interventions are discussed.

Influence of graphic format on comprehension of risk information among American Indians.

PubMed

Sprague, Debra; LaVallie, Donna L; Wolf, Fredric M; Jacobsen, Clemma; Sayson, Kirsten; Buchwald, Dedra

2011-01-01

Presentation of risk information influences patients' ability to interpret health care options. Little is known about this relationship between risk presentation and interpretation among American Indians. Three hundred American Indian employees on a western American Indian reservation were invited to complete an anonymous written survey. All surveys included a vignette presenting baseline risk information about a hypothetical cancer and possible benefits of 2 prevention plans. Risk interpretation was assessed by correct answers to 3 questions evaluating the risk reduction associated with the plans. Numeric information was the same in all surveys, but framing varied; half expressed prevention benefits in terms of relative risk reduction and half in terms of absolute risk reduction. All surveys used text to describe the benefits of the 2 plans, but half included a graphic image. Surveys were distributed randomly. Responses were analyzed using binary logistic regression with the robust variance estimator to account for clustering of outcomes within participant. Use of a graphic image was associated with higher odds of correctly answering 3 risk interpretation questions (odds ratio = 2.5, 95% confidence interval = 1.5-4.0, P < 0.001) compared to the text-only format. These findings were similar to those of previous studies carried out in the general population. Neither framing information as relative compared to absolute risk nor the interaction between graphic image and relative risk presentation was associated with risk interpretation. One type of graphic image was associated with increased understanding of risk in a small sample of American Indian adults. The authors recommend further investigation of the effectiveness of other types of graphic displays for conveying health risk information to this population.

Childbirth customs in Vietnamese traditions.

PubMed Central

Bodo, K.; Gibson, N.

1999-01-01

OBJECTIVE: To examine and understand how differences in the cultural backgrounds of Canadian physicians and their Vietnamese patients can affect the quality and efficacy of prenatal and postnatal treatment. QUALITY OF EVIDENCE: The information in this paper is based on a review of the literature, supplemented by interviews with members of the Vietnamese community in Edmonton, Alta. The literature was searched with MEDLINE (1966 to present), HEALTHSTAR (1975 to present), EMBASE (1988 to present), and Social Sciences Abstracts (1984 to present). Emphasis was placed on articles and other texts that dealt with Vietnamese customs surrounding childbirth, but information on health and health care customs was also considered. Interviews focused on the accuracy of information obtained from the research and the correlation of those data with personal experiences of Vietnamese community members. MAIN MESSAGE: Information in the texts used to research this paper suggests that traditional Vietnamese beliefs and practices surrounding birth are very different from the biomedical view of the Canadian medical system. The experiences and beliefs of the members of the Vietnamese community support this finding. Such cultural differences could contribute to misunderstandings between physicians and patients and could affect the quality and efficacy of health care provided. CONCLUSIONS: A sensitive and open approach to the patient's belief system and open and frank communication are necessary to ensure effective prenatal and postnatal treatment for recent Vietnamese immigrants and refugees. Education and awareness of cultural differences are necessary for physicians to provide the best and most effective health care possible. Images p692-a PMID:10099808

Semantic Annotation of Complex Text Structures in Problem Reports

NASA Technical Reports Server (NTRS)

Malin, Jane T.; Throop, David R.; Fleming, Land D.

2011-01-01

Text analysis is important for effective information retrieval from databases where the critical information is embedded in text fields. Aerospace safety depends on effective retrieval of relevant and related problem reports for the purpose of trend analysis. The complex text syntax in problem descriptions has limited statistical text mining of problem reports. The presentation describes an intelligent tagging approach that applies syntactic and then semantic analysis to overcome this problem. The tags identify types of problems and equipment that are embedded in the text descriptions. The power of these tags is illustrated in a faceted searching and browsing interface for problem report trending that combines automatically generated tags with database code fields and temporal information.

BRIEF REPORT: Nutrition and Weight Loss Information in a Popular Diet Book: Is It Fact, Fiction, or Something in Between?

PubMed Central

Goff, Sarah L; Foody, Joanne M; Inzucchi, Silvio; Katz, David; Mayne, Susan T; Krumholz, Harlan M

2006-01-01

BACKGROUND/OBJECTIVE Diet books dominate the New York Times Advice Best Seller list and consumers cite such books as an important source of nutrition information. However, the scientific support for nutrition claims presented as fact (nutrition facts) in diet books is not known. DESIGN/MEASUREMENTS We assessed the quality of nutrition facts in the best-selling South Beach Diet using support in peer-reviewed literature as a measure of quality. We performed structured literature searches on nutrition facts located in the books' text, and then assigned each fact to 1 of 4 categories (1) fact supported, (2) fact not supported, (3) fact both supported and not supported, and (4) no related papers. A panel of expert reviewers adjudicated the findings. RESULTS Forty-two nutrition facts were included. Fourteen (33%) facts were supported, 7 (17%) were not supported, 18 (43%) were both supported and not supported, and 3 (7%) had no related papers, including the fact that the diet had been “scientifically studied and proven effective.” CONCLUSIONS Consumers obtain nutrition information from diet books. We found that over 67% of nutrition facts in a best-seller diet book may not be supported in the peer-reviewed literature. These findings have important implications for educating consumers about nutrition information sources. PMID:16808780

[Systematic analysis of the readability of patient information on the websites of clinics for plastic surgery].

PubMed

Esfahani, B Janghorban; Faron, A; Roth, K S; Schaller, H-E; Medved, F; Lüers, J-C

2014-12-01

The Internet is becoming increasing-ly important as a source of information for patients in medical issues. However, many patients have problems to adequately understand texts, especially with medical content. A basic requirement to understand a written text is the read-ability of a text. The aim of the present study was to examine texts on the websites of German -plastic-surgical hospitals with patient information regarding their readability. In this study, the read-ability of texts of 27 major departments of plastic and Hand surgery in Germany was systematically analysed using 5 recognised readability indices. First, texts were searched based on 20 representative key words and themes. Thereafter, texts were assigned to one of 3 major themes in order to enable statistical analysis. In addition to the 5 readability indices, further objective text parameters were also recorded. Overall, 288 texts were found for analyzation. Most articles were found on the topic of "handsurgery" (n=124), less were found for "facial plastic surgery" (n=80) and "flaps, breast and reconstructive surgery" (n=84). Consistently, all readability indices showed a poor readability for the vast majority of analysed texts with the text appearing readable only for readers with a higher educational level. No significant differences in readability were found between the 3 major themes. Especially in the communication of medical information, it is important to consider the knowledge and education of the addressee. The texts studied consistently showed a readability that is understandable only for academics. Thus, a large part of the intended target group is probably not reached. In order to adequately deliver online information material, a revision of the analysed internet texts appears to be recommendable. © Georg Thieme Verlag KG Stuttgart · New York.

The Interaction of Knowledge and Text Structure on the Ability to Identify Main Ideas in Texts. Content Knowledge and Reading Comprehension.

ERIC Educational Resources Information Center

Day, Jeanne D.; Engelhardt, Jean

Two studies examined how the factors of content-relevant knowledge and text organization influence students' abilities to study and to remember text information. The first experiment examined the effect of prior content knowledge on students' ability to identify important information in the text. Forty 7th- and forty 11th-grade students, experts…

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

NASA Astrophysics Data System (ADS)

Scheele, C. J.; Huang, Q.

2016-12-01

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

Augmenting the Refutation Text Effect with Analogies and Graphics

ERIC Educational Resources Information Center

Danielson, Robert W.; Sinatra, Gale M.; Kendeou, Panayiota

2016-01-01

Refutation texts have been shown to be effective at promoting knowledge revision. It has been suggested that refutation texts are most effective when the misconception and the correct information are co-activated and integrated with causal networks that support the correct information. We explored two augmentations to a refutation text that might…

A Simple Method for Assessing Upper-Limb Force-Velocity Profile in Bench Press.

PubMed

Rahmani, Abderrahmane; Samozino, Pierre; Morin, Jean-Benoit; Morel, Baptiste

2018-02-01

To analyze the reliability and validity of a field computation method based on easy-to-measure data to assess the mean force ([Formula: see text]) and velocity ([Formula: see text]) produced during a ballistic bench-press movement and to verify that the force-velocity profile (F-v) obtained with multiple loaded trials is accurately described. Twelve participants performed ballistic bench presses against various lifted mass from 30% to 70% of their body mass. For each trial, [Formula: see text] and [Formula: see text] were determined from an accelerometer (sampling rate 500 Hz; reference method) and a simple computation method based on upper-limb mass, barbell flight height, and push-off distance. These [Formula: see text] and [Formula: see text] data were used to establish the F-v relationship for each individual and method. A strong to almost perfect reliability was observed between the 2 trials (ICC > .90 for [Formula: see text] and .80 for [Formula: see text], CV% < 10%), whatever the considered method. The mechanical variables ([Formula: see text], [Formula: see text]) measured with the 2 methods and all the variables extrapolated from the F-v relationships were strongly correlated (r 2  > .80, P < .001). The practical differences between the methods for the extrapolated mechanical parameters were all <5%, indicating very probably no differences. The findings suggest that the simple computation method used here provides valid and reliable information on force and velocity produced during ballistic bench press, in line with that observed in laboratory conditions. This simple method is thus a practical tool, requiring only 3 simple parameters (upper-limb mass, barbell flight height, and push-off distance).

Paired Texts: A Way into the Content Area

ERIC Educational Resources Information Center

Ciecierski, Lisa; Bintz, William

2016-01-01

Finding materials to help students make connections is difficult for many teachers across all grade levels. Traditionally, the textbook is the primary resource for instruction. Textbooks, however, do not naturally support students in making connections across texts. To do this, teachers must find other resources. Finding other resources is…

Information density converges in dialogue: Towards an information-theoretic model.

PubMed

Xu, Yang; Reitter, David

2018-01-01

The principle of entropy rate constancy (ERC) states that language users distribute information such that words tend to be equally predictable given previous contexts. We examine the applicability of this principle to spoken dialogue, as previous findings primarily rest on written text. The study takes into account the joint-activity nature of dialogue and the topic shift mechanisms that are different from monologue. It examines how the information contributions from the two dialogue partners interactively evolve as the discourse develops. The increase of local sentence-level information density (predicted by ERC) is shown to apply to dialogue overall. However, when the different roles of interlocutors in introducing new topics are identified, their contribution in information content displays a new converging pattern. We draw explanations to this pattern from multiple perspectives: Casting dialogue as an information exchange system would mean that the pattern is the result of two interlocutors maintaining their own context rather than sharing one. Second, we present some empirical evidence that a model of Interactive Alignment may include information density to explain the effect. Third, we argue that building common ground is a process analogous to information convergence. Thus, we put forward an information-theoretic view of dialogue, under which some existing theories of human dialogue may eventually be unified. Copyright © 2017 Elsevier B.V. All rights reserved.

Resourcing the clinical complementary medicine information needs of Australian medical students: Results of a grounded theory study.

PubMed

Templeman, Kate; Robinson, Anske; McKenna, Lisa

2016-09-01

The aim of this study was to identify Australian medical students' complementary medicine information needs. Thirty medical students from 10 medical education faculties across Australian universities were recruited. Data were generated using in-depth semi-structured interviews and constructivist grounded theory method was used to analyze and construct data. Students sought complementary medicine information from a range of inadequate sources, such as pharmacological texts, Internet searches, peer-reviewed medical journals, and drug databases. The students identified that many complementary medicine resources may not be regarded as objective, reliable, differentiated, or comprehensive, leaving much that medical education needs to address. Most students sought succinct, easily accessible, evidence-based information to inform safe and appropriate clinical decisions about complementary medicines. A number of preferred resources were identified that can be recommended and actively promoted to medical students. Therefore, specific, evidence-based complementary medicine databases and secondary resources should be subscribed and recommended to medical schools and students, to assist meeting professional responsibilities regarding complementary medicines. These findings may help inform the development of appropriate medical information resources regarding complementary medicines. © 2016 John Wiley & Sons Australia, Ltd.

Causes and risk factors of urinary incontinence: Avicenna's point of view vs. contemporary findings.

PubMed

Nojavan, Fatemeh; Sharifi, Hossein; Ghanbari, Zinat; Kamalinejad, Mohammad; Mokaberinejad, Roshanak; Emami, Maryam

2015-02-22

To extract the causes and risk factors of urinary incontinence from an old medical text by Avicenna entitled "Canon of Medicine" and comparing it with contemporary studies. In this study, etiology and risk factors of urinary incontinence were extracted from Avicenna's "Canon of Medicine". Commentaries written on this book and other old reliable medical texts about bladder and its diseases were also studied. Then the achieved information was compared with contemporary findings of published articles. Urinary incontinence results from bladder dysfunction in reservoir phase. Bladder's involuntary muscles and voluntary external sphincter are two main components which are involved in this process. Urinary incontinence can exist without obvious structural and neuronal etiologies. According to Avicenna, distemperment of muscular tissue of bladder and external sphincter is the cause for urinary incontinence in such cases. Distemperment is the result of bothering qualities in tissue, i.e.: "wet" and "cold". They are the two bothering qualities which are caused by extracorporeal and intracorporeal factors. Interestingly, the positive associations of some of these factors with urinary incontinence have been shown in recent researches. "Cold" and "wet" distemperment of bladder and external sphincter can be independent etiologies of urinary incontinence which should be investigated. 

Academic reading format preferences and behaviors among university students worldwide: A comparative survey analysis

PubMed Central

Kurbanoglu, Serap; Boustany, Joumana

2018-01-01

This study reports the descriptive and inferential statistical findings of a survey of academic reading format preferences and behaviors of 10,293 tertiary students worldwide. The study hypothesized that country-based differences in schooling systems, socioeconomic development, culture or other factors might have an influence on preferred formats, print or electronic, for academic reading, as well as the learning engagement behaviors of students. The main findings are that country of origin has little to no relationship with or effect on reading format preferences of university students, and that the broad majority of students worldwide prefer to read academic course materials in print. The majority of participants report better focus and retention of information presented in print formats, and more frequently prefer print for longer texts. Additional demographic and post-hoc analysis suggests that format preference has a small relationship with academic rank. The relationship between task demands, format preferences and reading comprehension are discussed. Additional outcomes and implications for the fields of education, psychology, computer science, information science and human-computer interaction are considered. PMID:29847560

Am I who I say I am? Unobtrusive self-representation and personality recognition on Facebook

PubMed Central

2017-01-01

Across social media platforms users (sub)consciously represent themselves in a way which is appropriate for their intended audience. This has unknown impacts on studies with unobtrusive designs based on digital (social) platforms, and studies of contemporary social phenomena in online settings. A lack of appropriate methods to identify, control for, and mitigate the effects of self-representation, the propensity to express socially responding characteristics or self-censorship in digital settings, hinders the ability of researchers to confidently interpret and generalize their findings. This article proposes applying boosted regression modelling to fill this research gap. A case study of paid Amazon Mechanical Turk workers (n = 509) is presented where workers completed psychometric surveys and provided anonymized access to their Facebook timelines. Our research finds indicators of self-representation on Facebook, facilitating suggestions for its mitigation. We validate the use of LIWC for Facebook personality studies, as well as find discrepancies with extant literature about the use of LIWC-only approaches in unobtrusive designs. Using survey data and LIWC sentiment categories as predictors, the boosted regression model classified the Five Factor personality model with an average accuracy of 74.6%. The contribution of this work is an accurate prediction of psychometric information based on short, informal text. PMID:28926569

Am I who I say I am? Unobtrusive self-representation and personality recognition on Facebook.

PubMed

Hall, Margeret; Caton, Simon

2017-01-01

Across social media platforms users (sub)consciously represent themselves in a way which is appropriate for their intended audience. This has unknown impacts on studies with unobtrusive designs based on digital (social) platforms, and studies of contemporary social phenomena in online settings. A lack of appropriate methods to identify, control for, and mitigate the effects of self-representation, the propensity to express socially responding characteristics or self-censorship in digital settings, hinders the ability of researchers to confidently interpret and generalize their findings. This article proposes applying boosted regression modelling to fill this research gap. A case study of paid Amazon Mechanical Turk workers (n = 509) is presented where workers completed psychometric surveys and provided anonymized access to their Facebook timelines. Our research finds indicators of self-representation on Facebook, facilitating suggestions for its mitigation. We validate the use of LIWC for Facebook personality studies, as well as find discrepancies with extant literature about the use of LIWC-only approaches in unobtrusive designs. Using survey data and LIWC sentiment categories as predictors, the boosted regression model classified the Five Factor personality model with an average accuracy of 74.6%. The contribution of this work is an accurate prediction of psychometric information based on short, informal text.

Imaging first impressions: distinct neural processing of verbal and nonverbal social information.

PubMed

Kuzmanovic, Bojana; Bente, Gary; von Cramon, D Yves; Schilbach, Leonhard; Tittgemeyer, Marc; Vogeley, Kai

2012-03-01

First impressions profoundly influence our attitudes and behavior toward others. However, little is known about whether and to what degree the cognitive processes that underlie impression formation depend on the domain of the available information about the target person. To investigate the neural bases of the influence of verbal as compared to nonverbal information on interpersonal judgments, we identified brain regions where the BOLD signal parametrically increased with increasing strength of evaluation based on either short text vignettes or mimic and gestural behavior. While for verbal stimuli the increasing strength of subjective evaluation was correlated with increased neural activation of precuneus and posterior cingulate cortex (PC/PCC), a similar effect was observed for nonverbal stimuli in the amygdala. These findings support the assumption that qualitatively different cognitive operations underlie person evaluation depending upon the stimulus domain: while the processing of nonverbal person information may be more strongly associated with affective processing as indexed by recruitment of the amygdala, verbal person information engaged the PC/PCC that has been related to social inferential processing. Copyright © 2011 Elsevier Inc. All rights reserved.

Examining competing hypotheses for the effects of diagrams on recall for text.

PubMed

Ortegren, Francesca R; Serra, Michael J; England, Benjamin D

2015-01-01

Supplementing text-based learning materials with diagrams typically increases students' free recall and cued recall of the presented information. In the present experiments, we examined competing hypotheses for why this occurs. More specifically, although diagrams are visual, they also serve to repeat information from the text they accompany. Both visual presentation and repetition are known to aid students' recall of information. To examine to what extent diagrams aid recall because they are visual or repetitive (or both), we had college students in two experiments (n = 320) read a science text about how lightning storms develop before completing free-recall and cued-recall tests over the presented information. Between groups, we manipulated the format and repetition of target pieces of information in the study materials using a 2 (visual presentation of target information: diagrams present vs. diagrams absent) × 2 (repetition of target information: present vs. absent) between-participants factorial design. Repetition increased both the free recall and cued recall of target information, and this occurred regardless of whether that repetition was in the form of text or a diagram. In contrast, the visual presentation of information never aided free recall. Furthermore, visual presentation alone did not significantly aid cued recall when participants studied the materials once before the test (Experiment 1) but did when they studied the materials twice (Experiment 2). Taken together, the results of the present experiments demonstrate the important role of repetition (i.e., that diagrams repeat information from the text) over the visual nature of diagrams in producing the benefits of diagrams for recall.

The Importance of Proper Citation of References in Biomedical Articles

PubMed Central

Masic, Izet

2013-01-01

In scientific circles, the reference is the information that is necessary to the reader in identifying and finding used sources. The basic rule when listing the sources used is that references must be accurate, complete and should be consistently applied. On the other hand, quoting implies verbatim written or verbal repetition of parts of the text or words written by others that can be checked in original. Authors of every new scientific article need to explain how their study or research fits with previous one in the same or similar fields. A typical article in the health sciences refers to approximately 20-30 other articles published in peer reviewed journals, cite once or hundreds times. Citations typically appear in two formats: a) as in-text citations where the sources of information are briefly identified in the text; or b) in the reference list at the end of the publication (book chapter, manuscript, article, etc.) that provides full bibliographic information for each source. Group of publishers met in Vancouver in 1978 and decided to prescribe uniform technical propositions for publication. Adopted in the 1979 by the National Library of Medicine in Bethesda, then the International Committee of Medical Journals Editors (ICMJE), whose review in 1982 entered the official application by 300 international biomedical journals. Authors writing articles for publication in biomedical publications used predominantly citation styles: Vancouver style, Harward style, PubMed style, ICMJE, APA, etc. The paper gives examples of all of these styles of citation to the authors in order to facilitate their applications. Also in this paper is given the review about the problem of plagiarism which becomes more common in the writing of scientific and technical articles in biomedicine. PMID:24167381

The importance of proper citation of references in biomedical articles.

PubMed

Masic, Izet

2013-01-01

In scientific circles, the reference is the information that is necessary to the reader in identifying and finding used sources. The basic rule when listing the sources used is that references must be accurate, complete and should be consistently applied. On the other hand, quoting implies verbatim written or verbal repetition of parts of the text or words written by others that can be checked in original. Authors of every new scientific article need to explain how their study or research fits with previous one in the same or similar fields. A typical article in the health sciences refers to approximately 20-30 other articles published in peer reviewed journals, cite once or hundreds times. Citations typically appear in two formats: a) as in-text citations where the sources of information are briefly identified in the text; or b) in the reference list at the end of the publication (book chapter, manuscript, article, etc.) that provides full bibliographic information for each source. Group of publishers met in Vancouver in 1978 and decided to prescribe uniform technical propositions for publication. Adopted in the 1979 by the National Library of Medicine in Bethesda, then the International Committee of Medical Journals Editors (ICMJE), whose review in 1982 entered the official application by 300 international biomedical journals. Authors writing articles for publication in biomedical publications used predominantly citation styles: Vancouver style, Harward style, PubMed style, ICMJE, APA, etc. The paper gives examples of all of these styles of citation to the authors in order to facilitate their applications. Also in this paper is given the review about the problem of plagiarism which becomes more common in the writing of scientific and technical articles in biomedicine.

The effects of visual crowding, text size, and positional uncertainty on text legibility at a glance.

PubMed

Dobres, Jonathan; Wolfe, Benjamin; Chahine, Nadine; Reimer, Bryan

2018-07-01

Reading at a glance, once a relatively infrequent mode of reading, is becoming common. Mobile interaction paradigms increasingly dominate the way in which users obtain information about the world, which often requires reading at a glance, whether from a smartphone, wearable device, or in-vehicle interface. Recent research in these areas has shown that a number of factors can affect text legibility when words are briefly presented in isolation. Here we expand upon this work by examining how legibility is affected by more crowded presentations. Word arrays were combined with a lexical decision task, in which the size of the text elements and the inter-line spacing (leading) between individual items were manipulated to gauge their relative impacts on text legibility. In addition, a single-word presentation condition that randomized the location of presentation was compared with previous work that held position constant. Results show that larger text was more legible than smaller text. Wider leading significantly enhanced legibility as well, but contrary to expectations, wider leading did not fully counteract decrements in legibility at smaller text sizes. Single-word stimuli presented with random positioning were more difficult to read than stationary counterparts from earlier studies. Finally, crowded displays required much greater processing time compared to single-word displays. These results have implications for modern interface design, which often present interactions in the form of scrollable and/or selectable lists. The present findings are of practical interest to the wide community of graphic designers and interface engineers responsible for developing our interfaces of daily use. Copyright © 2018 Elsevier Ltd. All rights reserved.

A new method for the automatic retrieval of medical cases based on the RadLex ontology.

PubMed

Spanier, A B; Cohen, D; Joskowicz, L

2017-03-01

The goal of medical case-based image retrieval (M-CBIR) is to assist radiologists in the clinical decision-making process by finding medical cases in large archives that most resemble a given case. Cases are described by radiology reports comprised of radiological images and textual information on the anatomy and pathology findings. The textual information, when available in standardized terminology, e.g., the RadLex ontology, and used in conjunction with the radiological images, provides a substantial advantage for M-CBIR systems. We present a new method for incorporating textual radiological findings from medical case reports in M-CBIR. The input is a database of medical cases, a query case, and the number of desired relevant cases. The output is an ordered list of the most relevant cases in the database. The method is based on a new case formulation, the Augmented RadLex Graph and an Anatomy-Pathology List. It uses a new case relatedness metric [Formula: see text] that prioritizes more specific medical terms in the RadLex tree over less specific ones and that incorporates the length of the query case. An experimental study on 8 CT queries from the 2015 VISCERAL 3D Case Retrieval Challenge database consisting of 1497 volumetric CT scans shows that our method has accuracy rates of 82 and 70% on the first 10 and 30 most relevant cases, respectively, thereby outperforming six other methods. The increasing amount of medical imaging data acquired in clinical practice constitutes a vast database of untapped diagnostically relevant information. This paper presents a new hybrid approach to retrieving the most relevant medical cases based on textual and image information.

Interactive Book Reading with Expository Science Texts in Preschool Special Education Classrooms

ERIC Educational Resources Information Center

Breit-Smith, Allison; Busch, Jamie D.; Dinnesen, Megan Schneider; Guo, Ying

2017-01-01

Expository, or informational, text can be defined as a type of nonfiction that describes a topic categorically by moving from subtopic to subtopic with the intent to teach content or convey information (Maloch & Bomer, 2013). One vehicle for teaching the text structure and language of expository text to preschool-age children is through…

Development of the Text-Learning Strategies Inventory: Assessing and Profiling Learning from Texts in Fifth and Sixth Grade

ERIC Educational Resources Information Center

Merchie, Emmelien; Van Keer, Hilde; Vandevelde, Sabrina

2014-01-01

Independently learning from informative texts becomes increasingly important from the age of 11. Little information is available, however, on (a) how and to what extent late elementary education students already apply specific text-learning strategies, and (b) whether different learner profiles can already be distinguished. In this study, a…

The Use of Source-Related Strategies in Evaluating Multiple Psychology Texts: A Student-Scientist Comparison

ERIC Educational Resources Information Center

von der Mühlen, Sarah; Richter, Tobias; Schmid, Sebastian; Schmidt, Elisabeth Marie; Berthold, Kirsten

2016-01-01

Multiple text comprehension can greatly benefit from paying attention to sources and from using this information for evaluating text information. Previous research based on texts from the domain of history suggests that source-related strategies are acquired as part of the discipline expertise as opposed to the spontaneous use of these strategies…

Have Recommended Book Lists Changed to Reflect Current Expectations for Informational Text in K-3 Classrooms?

ERIC Educational Resources Information Center

Dreher, Mariam Jean; Kletzien, Sharon B.

2016-01-01

Despite both longstanding and recent calls for more informational text in K-3 classrooms, research indicates that narrative text remains in the majority for read alouds, classroom libraries, and instruction, thus limiting children's opportunity to experience the demands of expository text. Because national associations' recommended book lists are…

Using Text Messaging in Long-Term Arthroplasty Follow-Up: A Pilot Study.

PubMed

Blocker, Oliver; Bullock, Alison; Morgan-Jones, Rhidian; Ghandour, Adel; Richardson, James

2017-05-16

Patient-reported outcome measures (PROMs) and mobile technology have the potential to change the way patients are monitored following joint replacement surgery. The aim of this study was to determine the feasibility of text messaging to record PROMs in long-term follow-up of hip and knee arthroplasty. Our participants were 17 patients 2-years-plus post hip or knee arthroplasty attending clinic with a mobile telephone number on record. A simple PROM (Oswestry Very Short Form) was texted to the patient. Responses were compared to clinical, radiographic, and existing PROM findings. Patients were interviewed to discover their opinions on this use of texting. A total of 11 patients engaged with the text messaging. Reasons for not engaging included wrong numbers, physical barriers, and lack of understanding. A total of 8 patients attending clinic allowed comparison of text messaging with clinical findings. The average age was 70 years. A total of 4 patient text messaging responses matched clinical and radiographic findings; 3 also matched PROM scores collected in clinic. The 3 patients with mixed responses had abnormal clinical, radiographic, or PROM findings. One patient's text responses conflicted with clinical outcome. Analysis of patients' views showed a generally positive opinion: patients were happy to communicate with surgeons by text. Practical problems, PROM limitations, and trustworthiness of texting were highlighted. Engaging with changing technology creates challenges for patients and health care professionals. Despite this, our results suggest text messaging is a promising way to communicate with arthroplasty patients. Earlier integration of text communication in the patient pathway may be important and needs further research. ©Oliver Blocker, Alison Bullock, Rhidian Morgan-Jones, Adel Ghandour, James Richardson. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 16.05.2017.

The experience of patients participating in a small randomised control trial that explored two different interventions to reduce anxiety prior to an MRI scan.

PubMed

Tugwell-Allsup, J; Pritchard, A W

2018-05-01

This paper reports qualitative findings from within a larger randomised control trial where a video clip or telephone conversation with a radiographer was compared to routine appointment letter and information sheet to help alleviate anxiety prior to their MRI scan. Questionnaires consisting of three free-text response questions were administered to all of the 74 patients recruited to the MRI anxiety clinical trial. The questionnaire was designed to establish patients' experiences of the intervention they had received. These questionnaires were administered post-scan. Two participants from each trial arm were also interviewed. A thematic approach was utilised for identifying recurrent categories emerging from the qualitative data which are supported by direct quotations. Participants in the interventional groups commented positively about the provision of pre-MRI scan information they received and this was contrastable with the relatively indifferent responses observed among those who received the standard information letter. Many important themes were identified including the patients needs for clear and simplified information, the experience of anticipation when waiting for the scan, and also the informally acquired information about having an MRI scan i.e. the shared experiences of friends and family. All themes highlighted the need for an inclusive and individually tailored approach to pre-scan information provision. Qualitative data collected throughout the trial is supportive of the statistical findings, where it is asserted that the use of a short video clip or a radiographer having a short conversation with patients before their scan reduces pre-scan anxiety. Crown Copyright © 2017. Published by Elsevier Ltd. All rights reserved.

Development of a full-text information retrieval system

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

Keizo Oyama; AKira Miyazawa, Atsuhiro Takasu; Kouji Shibano

The authors have executed a project to realize a full-text information retrieval system. The system is designed to deal with a document database comprising full text of a large number of documents such as academic papers. The document structures are utilized in searching and extracting appropriate information. The concept of structure handling and the configuration of the system are described in this paper.

Linguistic Symbol Intraference in Textese and E-Mailese: Implications for Teaching and Learning Standard English

ERIC Educational Resources Information Center

Bode Ekundayo, Omowumi Steve

2014-01-01

This paper examines how senders of text messages and informal e-mail redeploy linguistic symbols innovatively to communicate. Even a cursory look at an SMS text (textese) and informal e-mail (e-mailese) will show that its style is different from that of formal writing. Two thousand twenty text messages and five hundred informal e-mail were studied…

Graphic-enhanced information improves perceived risks of cigar smoking

PubMed Central

Strasser, Andrew A.; Orom, Heather; Tang, Kathy Z.; Dumont, Rachel L.; Cappella, Joseph N.; Kozlowski, Lynn T.

2011-01-01

The internet is a major source of health information and several notable health web sites contain information on the risks associated with cigar smoking. Previous research indicates that internet pages containing health information on cigars have high reading levels and are restricted to text material, which can decrease understanding. We examined the effects of existing text-only (from the United States National Cancer Institute website) versus novel graphic-enhanced information on smokers' perceptions of health risks associated with cigar smoking. The study was a laboratory-based single session of current cigarette smokers (n=102) who viewed cigar smoking risk information on a computer monitor then completed cigar risk questionnaire items. Participants were randomized to view either text-only or graphic-enhanced cigar information. The graphic version contained additional risk information about cigarillos and little cigars. Text-only participants were more likely to underestimate perceived health risks associated with cigar smoking compared to graphic-enhanced participants (47.1% versus 17.7%, p=.001); and, graphic-enhanced participants were more likely to report that they would share the cigar health risk information with friends compared to those viewing text-only, 47.0% versus 27.4%, p=.005. Employing graphics to convey health risks associated with cigar smoking increases understanding and likeliness to share information. Integrating information about little cigars and cigarillos risk in conjunction with large cigar risk information is an effective public health strategy to provide more comprehensive risk information. Utilizing graphics on health information internet pages can increase knowledge and perceived risks of cigar smoking. PMID:21481542

Medical Named Entity Recognition for Indonesian Language Using Word Representations

NASA Astrophysics Data System (ADS)

Rahman, Arief

2018-03-01

Nowadays, Named Entity Recognition (NER) system is used in medical texts to obtain important medical information, like diseases, symptoms, and drugs. While most NER systems are applied to formal medical texts, informal ones like those from social media (also called semi-formal texts) are starting to get recognition as a gold mine for medical information. We propose a theoretical Named Entity Recognition (NER) model for semi-formal medical texts in our medical knowledge management system by comparing two kinds of word representations: cluster-based word representation and distributed representation.

A Robust Blind Quantum Copyright Protection Method for Colored Images Based on Owner's Signature

NASA Astrophysics Data System (ADS)

Heidari, Shahrokh; Gheibi, Reza; Houshmand, Monireh; Nagata, Koji

2017-08-01

Watermarking is the imperceptible embedding of watermark bits into multimedia data in order to use for different applications. Among all its applications, copyright protection is the most prominent usage which conceals information about the owner in the carrier, so as to prohibit others from assertion copyright. This application requires high level of robustness. In this paper, a new blind quantum copyright protection method based on owners's signature in RGB images is proposed. The method utilizes one of the RGB channels as indicator and two remained channels are used for embedding information about the owner. In our contribution the owner's signature is considered as a text. Therefore, in order to embed in colored image as watermark, a new quantum representation of text based on ASCII character set is offered. Experimental results which are analyzed in MATLAB environment, exhibit that the presented scheme shows good performance against attacks and can be used to find out who the real owner is. Finally, the discussed quantum copyright protection method is compared with a related work that our analysis confirm that the presented scheme is more secure and applicable than the previous ones currently found in the literature.

The impact of Sleep Time-Related Information and Communication Technology (STRICT) on sleep patterns and daytime functioning in American adolescents.

PubMed

Polos, Peter G; Bhat, Sushanth; Gupta, Divya; O'Malley, Richard J; DeBari, Vincent A; Upadhyay, Hinesh; Chaudhry, Saqib; Nimma, Anitha; Pinto-Zipp, Genevieve; Chokroverty, Sudhansu

2015-10-01

This cross-sectional study explored the extent and impact of mobile device-based Sleep Time-Related Information and Communication Technology (STRICT) use among American adolescents (N = 3139, 49.3% female, mean age = 13.3 years). Nearly 62% used STRICT after bedtime, 56.7% texted/tweeted/messaged in bed, and 20.8% awoke to texts. STRICT use was associated with insomnia, daytime sleepiness, eveningness, academic underperformance, later bedtimes and shorter sleep duration. Moderation analysis demonstrated that the association between STRICT use and insomnia increased with age, the association between STRICT use and daytime sleepiness decreased with age, and the association between STRICT use and shorter sleep duration decreased with age and was stronger in girls. Insomnia and daytime sleepiness partially mediated the relationship between STRICT use and academic underperformance. Our results illustrate the adverse interactions between adolescent STRICT use and sleep, with deleterious effects on daytime functioning. These worrisome findings suggest that placing reasonable limitations on adolescent STRICT use may be appropriate. Copyright © 2015 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

Taking a Closer Look at Your Informational Writing Instruction

ERIC Educational Resources Information Center

Beschorner, Beth; Hall, Anna H.

2018-01-01

When students write informational text, they have the opportunity to engage with meaningful topics, become curious about the world, learn domain-specific knowledge, and use academic vocabulary. Given the possibilities for learning through writing informational text, it is important for teachers to reflect on and improve their informational writing…

The effect of disfluency on mind wandering during text comprehension.

PubMed

Faber, Myrthe; Mills, Caitlin; Kopp, Kristopher; D'Mello, Sidney

2017-06-01

When reading, we frequently find ourselves thinking about something other than the text. These attentional lapses, known as mind wandering (MW), are negatively correlated with text comprehension. Previous studies have shown that more syntactically and semantically difficult texts elicit more MW, because textual difficulty impedes the construction of a mental model of the text, which makes it more difficult to suppress off-task thoughts. But is it possible to reduce MW without altering the content of the text itself? We hypothesized that reading a perceptually disfluent text might require more attentional resources, even if the content remained the same, leaving fewer resources available for MW. To test this idea, we manipulated the typefaces (fluent [Arial] or disfluent [ ]) of two instructional texts on scientific research methods (each about 1,490 words long), and found that MW was less frequent when participants read the disfluent text. There were no comprehension differences between the fluent and disfluent groups. However, we did find an indirect effect of disfluency on comprehension through MW, suggesting that disfluency influences comprehension by enhancing attention. These findings provide insights into how processing difficulty and attention interact during reading comprehension.

When Do Natural Language Metaphors Influence Reasoning? A Follow-Up Study to Thibodeau and Boroditsky (2013)

PubMed Central

Steen, Gerard J.; Reijnierse, W. Gudrun; Burgers, Christian

2014-01-01

In this article, we offer a critical view of Thibodeau and Boroditsky who report an effect of metaphorical framing on readers' preference for political measures after exposure to a short text on the increase of crime in a fictitious town: when crime was metaphorically presented as a beast, readers became more enforcement-oriented than when crime was metaphorically framed as a virus. We argue that the design of the study has left room for alternative explanations. We report four experiments comprising a follow-up study, remedying several shortcomings in the original design while collecting more encompassing sets of data. Our experiments include three additions to the original studies: (1) a non-metaphorical control condition, which is contrasted to the two metaphorical framing conditions used by Thibodeau and Boroditsky, (2) text versions that do not have the other, potentially supporting metaphors of the original stimulus texts, (3) a pre-exposure measure of political preference (Experiments 1–2). We do not find a metaphorical framing effect but instead show that there is another process at play across the board which presumably has to do with simple exposure to textual information. Reading about crime increases people's preference for enforcement irrespective of metaphorical frame or metaphorical support of the frame. These findings suggest the existence of boundary conditions under which metaphors can have differential effects on reasoning. Thus, our four experiments provide converging evidence raising questions about when metaphors do and do not influence reasoning. PMID:25490704

Text-Processing Differences in Adolescent Adequate and Poor Comprehenders Reading Accessible and Challenging Narrative and Informational Text

ERIC Educational Resources Information Center

Denton, Carolyn A.; Enos, Mischa; York, Mary J.; Francis, David J.; Barnes, Marcia A.; Kulesz, Paulina A.; Fletcher, Jack M.; Carter, Suzanne

2015-01-01

Based on the analysis of 620 think-aloud verbal protocols from students in grades 7, 9, and 11, we examined students' conscious engagement in inference generation, paraphrasing, verbatim text repetition, and monitoring while reading narrative or informational texts that were either at or above the students' current reading levels. Students were…

Does Spatial or Visual Information in Maps Facilitate Text Recall?: Reconsidering the Conjoint Retention Hypothesis

ERIC Educational Resources Information Center

Griffin, Marlynn M.; Robinson, Daniel H.; Sarama, Julie

2005-01-01

The conjoint retention hypothesis (CRH) claims that students recall more text information when they study geographic maps in addition to text than when they study text alone, because the maps are encoded spatially (Kulhavy, Lee, & Caterino, 1985). This claim was recently challenged by Griffin and Robinson (2000), who found no advantage for maps…

Illustrations enhance older colorectal cancer patients' website satisfaction and recall of online cancer information.

PubMed

Bol, N; Smets, E M A; Eddes, E H; de Haes, J C J M; Loos, E F; van Weert, J C M

2015-03-01

This study aims to investigate the effects of illustrations in online cancer information on older cancer patients' website satisfaction (i.e. satisfaction with the attractiveness, comprehensibility and emotional support from the website) and recall of information. In an online experiment, 174 younger (<65 years) and older (≥65 years) colorectal cancer patients were randomly exposed to a webpage about transanal endoscopic microsurgery consisting of either text-only information, text with two cognitive illustrations or text with two affective illustrations. In general, adding cognitive illustrations compared with text-only information improved the satisfaction with the attractiveness of the website in both younger and older patients. For older patients in particular, cognitive illustrations facilitated recall of cancer information: whereas older patients recalled less information overall compared with younger patients (39% vs. 50%), no statistically significant differences in age on recall were observed when cognitive illustrations were added to text. Furthermore, older patients were more satisfied with the emotional support from the website than younger patients, especially when affective illustrations were present. Our results suggest that effective online cancer communication for ageing populations involves considering both cognitive and affective illustrations to enhance website satisfaction and recall of cancer information. © 2015 John Wiley & Sons Ltd.

Optimizing text for an individual's visual system: The contribution of visual crowding to reading difficulties.

PubMed

Joo, Sung Jun; White, Alex L; Strodtman, Douglas J; Yeatman, Jason D

2018-06-01

Reading is a complex process that involves low-level visual processing, phonological processing, and higher-level semantic processing. Given that skilled reading requires integrating information among these different systems, it is likely that reading difficulty-known as dyslexia-can emerge from impairments at any stage of the reading circuitry. To understand contributing factors to reading difficulties within individuals, it is necessary to diagnose the function of each component of the reading circuitry. Here, we investigated whether adults with dyslexia who have impairments in visual processing respond to a visual manipulation specifically targeting their impairment. We collected psychophysical measures of visual crowding and tested how each individual's reading performance was affected by increased text-spacing, a manipulation designed to alleviate severe crowding. Critically, we identified a sub-group of individuals with dyslexia showing elevated crowding and found that these individuals read faster when text was rendered with increased letter-, word- and line-spacing. Our findings point to a subtype of dyslexia involving elevated crowding and demonstrate that individuals benefit from interventions personalized to their specific impairments. Copyright © 2018 Elsevier Ltd. All rights reserved.

Note regarding the word 'behavior' in glossaries of introductory textbooks, dictionaries, and encyclopedias devoted to psychology.

PubMed

Abramson, Charles I; Place, Aaron J

2005-10-01

Glossaries of introductory textbooks in psychology, biology, and animal behavior were surveyed to find whether they induded the word 'behavior'. In addition to texts, encyclopedias and dictionaries devoted to the study of behavior were also surveyed. Of the 138 tests sampled across all three fields, only 38 (27%) included the term 'behavior' in their glossaries. Of the 15 encyclopedias and dictionaries surveyed, only 5 defined 'behavior'. To assess whether the term 'behavior' has disappeared from textbook glossaries or whether it has usually been absent, we sampled 23 introductory psychology texts written from 1886 to 1958. Only two texts contained glossaries, and the word 'behavior' was defined in both. An informal survey was conducted of students enrolled in introductory classes in psychology, biology, and animal behavior to provide data on the consistency of definitions. Students were asked to "define the word 'behavior'." Analysis indicated the definition was dependent upon the course. We suggest that future introductory textbook authors and editors of psychology-based dictionaries and encyclopedias include 'behavior' in their glossaries.

Seeing and Reading Red: Hue and Color-word Correlation in Images and Attendant Text on the WWW

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

Newsam, S

2004-07-12

This work represents an initial investigation into determining whether correlations actually exist between metadata and content descriptors in multimedia datasets. We provide a quantitative method for evaluating whether the hue of images on the WWW is correlated with the occurrence of color-words in metadata such as URLs, image names, and attendant text. It turns out that such a correlation does exist: the likelihood that a particular color appears in an image whose URL, name, and/or attendant text contains the corresponding color-word is generally at least twice the likelihood that the color appears in a randomly chosen image on the WWW.more » While this finding might not be significant in and of itself, it represents an initial step towards quantitatively establishing that other, perhaps more useful correlations exist. These correlations form the basis for exciting novel approaches that leverage semi-supervised datasets, such as the WWW, to overcome the semantic gap that has hampered progress in multimedia information retrieval for some time now.« less

Lexical Predictability During Natural Reading: Effects of Surprisal and Entropy Reduction.

PubMed

Lowder, Matthew W; Choi, Wonil; Ferreira, Fernanda; Henderson, John M

2018-06-01

What are the effects of word-by-word predictability on sentence processing times during the natural reading of a text? Although information complexity metrics such as surprisal and entropy reduction have been useful in addressing this question, these metrics tend to be estimated using computational language models, which require some degree of commitment to a particular theory of language processing. Taking a different approach, this study implemented a large-scale cumulative cloze task to collect word-by-word predictability data for 40 passages and compute surprisal and entropy reduction values in a theory-neutral manner. A separate group of participants read the same texts while their eye movements were recorded. Results showed that increases in surprisal and entropy reduction were both associated with increases in reading times. Furthermore, these effects did not depend on the global difficulty of the text. The findings suggest that surprisal and entropy reduction independently contribute to variation in reading times, as these metrics seem to capture different aspects of lexical predictability. Copyright © 2018 Cognitive Science Society, Inc.

PPInterFinder--a mining tool for extracting causal relations on human proteins from literature.

PubMed

Raja, Kalpana; Subramani, Suresh; Natarajan, Jeyakumar

2013-01-01

One of the most common and challenging problem in biomedical text mining is to mine protein-protein interactions (PPIs) from MEDLINE abstracts and full-text research articles because PPIs play a major role in understanding the various biological processes and the impact of proteins in diseases. We implemented, PPInterFinder--a web-based text mining tool to extract human PPIs from biomedical literature. PPInterFinder uses relation keyword co-occurrences with protein names to extract information on PPIs from MEDLINE abstracts and consists of three phases. First, it identifies the relation keyword using a parser with Tregex and a relation keyword dictionary. Next, it automatically identifies the candidate PPI pairs with a set of rules related to PPI recognition. Finally, it extracts the relations by matching the sentence with a set of 11 specific patterns based on the syntactic nature of PPI pair. We find that PPInterFinder is capable of predicting PPIs with the accuracy of 66.05% on AIMED corpus and outperforms most of the existing systems. DATABASE URL: http://www.biomining-bu.in/ppinterfinder/

PPInterFinder—a mining tool for extracting causal relations on human proteins from literature

PubMed Central

Raja, Kalpana; Subramani, Suresh; Natarajan, Jeyakumar

2013-01-01

One of the most common and challenging problem in biomedical text mining is to mine protein–protein interactions (PPIs) from MEDLINE abstracts and full-text research articles because PPIs play a major role in understanding the various biological processes and the impact of proteins in diseases. We implemented, PPInterFinder—a web-based text mining tool to extract human PPIs from biomedical literature. PPInterFinder uses relation keyword co-occurrences with protein names to extract information on PPIs from MEDLINE abstracts and consists of three phases. First, it identifies the relation keyword using a parser with Tregex and a relation keyword dictionary. Next, it automatically identifies the candidate PPI pairs with a set of rules related to PPI recognition. Finally, it extracts the relations by matching the sentence with a set of 11 specific patterns based on the syntactic nature of PPI pair. We find that PPInterFinder is capable of predicting PPIs with the accuracy of 66.05% on AIMED corpus and outperforms most of the existing systems. Database URL: http://www.biomining-bu.in/ppinterfinder/ PMID:23325628

Using texts in science education: cognitive processes and knowledge representation.

PubMed

van den Broek, Paul

2010-04-23

Texts form a powerful tool in teaching concepts and principles in science. How do readers extract information from a text, and what are the limitations in this process? Central to comprehension of and learning from a text is the construction of a coherent mental representation that integrates the textual information and relevant background knowledge. This representation engenders learning if it expands the reader's existing knowledge base or if it corrects misconceptions in this knowledge base. The Landscape Model captures the reading process and the influences of reader characteristics (such as working-memory capacity, reading goal, prior knowledge, and inferential skills) and text characteristics (such as content/structure of presented information, processing demands, and textual cues). The model suggests factors that can optimize--or jeopardize--learning science from text.

On the stability of the electronic system in transition metal dichalcogenides.

PubMed

Faraggi, M N; Zubizarreta, X; Arnau, A; Silkin, V M

2016-05-11

Based on first-principles calculations, we prove that the origin of charge-density wave formation in metallic layered transition metal dichalcogenides (TMDC) is not due to an electronic effect, like the Fermi surface (FS) nesting, as it had been proposed. In particular, we consider NbSe2, NbS2, TaSe2, and TaS2 as representative examples of 2H-TMDC polytypes. Our main result consists that explicit inclusion of the matrix elements in first-principles calculations of the electron susceptibility [Formula: see text] removes, due to strong momentum dependence of the matrix elements, almost all the information about the FS topologies in the resulting [Formula: see text]. This finding strongly supports an interpretation in which the momentum dependence of the electron-phonon interaction is the only reason why the phenomenon of charge-density waves appears in this class of materials.

Pagers, Smartphones, and HIPAA: Finding the Best Solution for Electronic Communication of Protected Health Information.

PubMed

Freundlich, Robert E; Freundlich, Katherine L; Drolet, Brian C

2017-11-25

Electronic communication is a topic that applies broadly to the professional activities of every physician and the pager has been the gold standard of communication for decades. We believe that this is a dated technology that is holding clinicians back from better, more efficient alternatives, particularly smartphones. In this manuscript, we examine the paradoxical reliance on pagers in academic medicine, at a time when the use of smartphones and text messaging is the subject of intense scrutiny with respect to its standing under the Health Insurance Portability and Accountability Act (HIPAA). We provide previously unreported data regarding the electronic communication practices of academic medical centers in the United States, which we obtained through a survey of Designated Institutional Officials. These data highlight both the controversy around text messaging and HIPAA and a puzzling widespread reliance on pagers as an alternative.

How people with serious mental illness use smartphones, mobile apps, and social media.

PubMed

Naslund, John A; Aschbrenner, Kelly A; Bartels, Stephen J

2016-12-01

Research shows that people with serious mental illness are increasingly using mobile devices. Less is known about how these individuals use their mobile devices or whether they access social media. We surveyed individuals with serious mental illness to explore their use of these technologies. Individuals with serious mental illness engaged in lifestyle interventions through community mental health centers completed a survey about their use of mobile and online technologies. Responses were compared with data from the general population. Among respondents (n = 70), 93% owned cellphones, 78% used text messaging, 50% owned smartphones, and 71% used social media such as Facebook. Most respondents reported daily use of text messaging, mobile apps, and social media. Technology use was comparable to the general population, though smartphone ownership was lower. These findings can inform future interventions that fully leverage this group's use of popular digital technologies. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

How People with Serious Mental Illness Use Smartphones, Mobile Apps, and Social Media

PubMed Central

Naslund, John A.; Aschbrenner, Kelly A.; Bartels, Stephen J.

2016-01-01

Objective Research shows that people with serious mental illness are increasingly using mobile devices. Less is known about how these individuals use their mobile devices or whether they access social media. We surveyed individuals with serious mental illness to explore their use of these technologies. Methods Individuals with serious mental illness engaged in lifestyle interventions through community mental health centers completed a survey about their use of mobile and online technologies. Responses were compared to data from the general population. Results Among respondents (n=70), 93% owned cellphones, 78% used text messaging, 50% owned smartphones, and 71% used social media such as Facebook. Most respondents reported daily use of text messaging, mobile apps, and social media. Technology use was comparable to the general population, though smartphone ownership was lower. Conclusions and Implications for Practice These findings can inform future interventions that fully leverage this group’s use of popular digital technologies. PMID:27845533

An information gathering system for medical image inspection

NASA Astrophysics Data System (ADS)

Lee, Young-Jin; Bajcsy, Peter

2005-04-01

We present an information gathering system for medical image inspection that consists of software tools for capturing computer-centric and human-centric information. Computer-centric information includes (1) static annotations, such as (a) image drawings enclosing any selected area, a set of areas with similar colors, a set of salient points, and (b) textual descriptions associated with either image drawings or links between pairs of image drawings, and (2) dynamic (or temporal) information, such as mouse movements, zoom level changes, image panning and frame selections from an image stack. Human-centric information is represented by video and audio signals that are acquired by computer-mounted cameras and microphones. The short-term goal of the presented system is to facilitate learning of medical novices from medical experts, while the long-term goal is to data mine all information about image inspection for assisting in making diagnoses. In this work, we built basic software functionality for gathering computer-centric and human-centric information of the aforementioned variables. Next, we developed the information playback capabilities of all gathered information for educational purposes. Finally, we prototyped text-based and image template-based search engines to retrieve information from recorded annotations, for example, (a) find all annotations containing the word "blood vessels", or (b) search for similar areas to a selected image area. The information gathering system for medical image inspection reported here has been tested with images from the Histology Atlas database.

TV commercials for prescription drugs: a discourse analytic perspective.

PubMed

Glinert, Lewis H

2005-06-01

The US Food and Drug Administration has called for research that may assist in developing standards for risk/benefit messages in the promotion of prescription drugs. Linguistics-based models of meaning and inference, though frequently applied to advertising, have not hitherto been used in this arena. This study was intended to illustrate how discourse analysis, a methodology for microanalysis of texts in context, can elucidate the workings and interplay of promotional, informational, and other functions of direct-to-consumer drug advertising, anticipating threats to "fair balance" and pinpointing textual phenomena and issues suited to empirical study. The text and visuals of a small corpus were analyzed along several dimensions, using theoretical insights of linguistic pragmatics and ethnography of speech to ask what the advertisement is seeking to do and what messages a viewer is likely to derive. The linguistic and rhetorical features include an intense switching and fusion of styles and modalities: the traditional advertising distinction between personal and impersonal, "company" and "consumer", was ostentatiously flouted. The role of spokesperson was assigned to characters in a real or virtual narrative. The narrative portion of the text and images often struck an ironic or postmodern note, eg, by mixing science with science fiction. The overall functions of the commercials (promotional, informational, and aesthetic) were themselves frequently blended. The text deployed several linguistic or rhetorical strategies to send a double message for promotional advantage, including syntactic-semantic ambiguity, voice-over risk messages at odds with upbeat visuals, and a vagueness of certain words in particular contexts. Findings contribute to our understanding of how TV commercials convey meaning with respect to drug benefits and risks, with implications for advertisers, regulators, and patient education. They also suggest new foci for empirical study.

Passing the baton: Community-based ethnography to design a randomized clinical trial on the effectiveness of oral pre-exposure prophylaxis for HIV prevention among Black men who have sex with men.

PubMed

Garcia, Jonathan; Colson, Paul W; Parker, Caroline; Hirsch, Jennifer S

2015-11-01

Although HIV interventions and clinical trials increasingly report the use of mixed methods, studies have not reported on the process through which ethnographic or qualitative findings are incorporated into RCT designs. We conducted a community-based ethnography on social and structural factors that may affect the acceptance of and adherence to oral pre-exposure prophylaxis (PrEP) among Black men who have sex with men (BMSM). We then devised the treatment arm of an adherence clinical trial drawing on findings from the community-based ethnography. This article describes how ethnographic findings informed the RCT and identifies distilled themes and findings that could be included as part of an RCT. The enhanced intervention includes in-person support groups, online support groups, peer navigation, and text message reminders. By describing key process-related facilitators and barriers to conducting meaningful mixed methods research, we provide important insights for the practice of designing clinical trials for 'real-world' community settings. Copyright © 2015 Elsevier Inc. All rights reserved.

Passing the Baton: Community-based ethnography to design a randomized clinical trial on the effectiveness of oral pre-exposure prophylaxis for HIV prevention among Black men who have sex with men

PubMed Central

Garcia, Jonathan; Colson, Paul W.; Parker, Caroline; Hirsch, Jennifer S.

2015-01-01

Although HIV interventions and clinical trials increasingly report the use of mixed methods, studies have not reported on the process through which ethnographic or qualitative findings are incorporated into RCT designs. We conducted a community-based ethnography on social and structural factors that may affect the acceptance of and adherence to oral pre-exposure prophylaxis (PrEP) among Black men who have sex with men (BMSM). We then devised the treatment arm of an adherence clinical trial drawing on findings from the community-based ethnography. This article describes how ethnographic findings informed the RCT and identifies distilled themes and findings that could be included as part of an RCT. The enhanced intervention includes in-person support groups, online support groups, peer navigation, and text message reminders. By describing key process-related facilitators and barriers to conducting meaningful mixed methods research, we provide important insights for the practice of designing clinical trials for ‘real-world’ community settings. PMID:26476286

A Virtual Microscope for Academic Medical Education: The Pate Project

PubMed Central

Hundt, Christian; Schmitt, Volker H; Schömer, Elmar; Kirkpatrick, C James

2015-01-01

Background Whole-slide imaging (WSI) has become more prominent and continues to gain in importance in student teaching. Applications with different scope have been developed. Many of these applications have either technical or design shortcomings. Objective To design a survey to determine student expectations of WSI applications for teaching histological and pathological diagnosis. To develop a new WSI application based on the findings of the survey. Methods A total of 216 students were questioned about their experiences and expectations of WSI applications, as well as favorable and undesired features. The survey included 14 multiple choice and two essay questions. Based on the survey, we developed a new WSI application called Pate utilizing open source technologies. Results The survey sample included 216 students—62.0% (134) women and 36.1% (78) men. Out of 216 students, 4 (1.9%) did not disclose their gender. The best-known preexisting WSI applications included Mainzer Histo Maps (199/216, 92.1%), Histoweb Tübingen (16/216, 7.4%), and Histonet Ulm (8/216, 3.7%). Desired features for the students were latitude in the slides (190/216, 88.0%), histological (191/216, 88.4%) and pathological (186/216, 86.1%) annotations, points of interest (181/216, 83.8%), background information (146/216, 67.6%), and auxiliary informational texts (113/216, 52.3%). By contrast, a discussion forum was far less important (9/216, 4.2%) for the students. Conclusions The survey revealed that the students appreciate a rich feature set, including WSI functionality, points of interest, auxiliary informational texts, and annotations. The development of Pate was significantly influenced by the findings of the survey. Although Pate currently has some issues with the Zoomify file format, it could be shown that Web technologies are capable of providing a high-performance WSI experience, as well as a rich feature set. PMID:25963527

Customization of Curriculum Materials in Science: Motives, Challenges, and Opportunities

NASA Astrophysics Data System (ADS)

Romine, William L.; Banerjee, Tanvi

2012-02-01

Exemplary science instructors use inquiry to tailor content to student's learning needs; traditional textbooks treat science as a set of facts and a rigid curriculum. Publishers now allow instructors to compile pieces of published and/or self-authored text to make custom textbooks. This brings numerous advantages, including the ability to produce smaller, cheaper text and added flexibility on the teaching models used. Moreover, the internet allows instructors to decentralize textbooks through easy access to educational objects such as audiovisual simulations, individual textbook chapters, and scholarly research articles. However, these new opportunities bring with them new problems. With educational materials easy to access, manipulate and duplicate, it is necessary to define intellectual property boundaries, and the need to secure documents against unlawful copying and use is paramount. Engineers are developing and enhancing information embedding technologies, including steganography, cryptography, watermarking, and fingerprinting, to label and protect intellectual property. While these are showing their utility in securing information, hackers continue to find loop holes in these protection schemes, forcing engineers to constantly assess the algorithms to make them as secure as possible. As newer technologies rise, people still question whether custom publishing is desirable. Many instructors see the process as complex, costly, and substandard in comparison to using traditional text. Publishing companies are working to improve attitudes through advertising. What lacks is peer reviewed evidence showing that custom publishing improves learning. Studies exploring the effect of custom course materials on student attitude and learning outcomes are a necessary next step.

Academic Literacies: The Word Is Not Enough

ERIC Educational Resources Information Center

Richards, Kendall; Pilcher, Nick

2018-01-01

For Academic Literacies, the world is textually mediated; written texts and what informs them reveal elements such as subject-discipline practices. Furthermore, multi-modalities, for example, visual representation, inform written text, and multiple methods of inquiry, including interviews, shed light on written text production. In this article we…

Quark flavour observables in the Littlest Higgs model with T-parity after LHC Run 1.

PubMed

Blanke, Monika; Buras, Andrzej J; Recksiegel, Stefan

2016-01-01

The Littlest Higgs model with T-parity (LHT) belongs to the simplest new physics scenarios with new sources of flavour and CP violation. The latter originate in the interactions of ordinary quarks and leptons with heavy mirror quarks and leptons that are mediated by new heavy gauge bosons. Also a heavy fermionic top partner is present in this model which communicates with the SM fermions by means of standard [Formula: see text] and [Formula: see text] gauge bosons. We present a new analysis of quark flavour observables in the LHT model in view of the oncoming flavour precision era. We use all available information on the CKM parameters, lattice QCD input and experimental data on quark flavour observables and corresponding theoretical calculations, taking into account new lower bounds on the symmetry breaking scale and the mirror quark masses from the LHC. We investigate by how much the branching ratios for a number of rare K and B decays are still allowed to depart from their SM values. This includes [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], and [Formula: see text]. Taking into account the constraints from [Formula: see text] processes, significant departures from the SM predictions for [Formula: see text] and [Formula: see text] are possible, while the effects in B decays are much smaller. In particular, the LHT model favours [Formula: see text], which is not supported by the data, and the present anomalies in [Formula: see text] decays cannot be explained in this model. With the recent lattice and large N input the imposition of the [Formula: see text] constraint implies a significant suppression of the branching ratio for [Formula: see text] with respect to its SM value while allowing only for small modifications of [Formula: see text]. Finally, we investigate how the LHT physics could be distinguished from other models by means of indirect measurements and discuss the consequences for quark flavour observables of not finding any LHT state in the coming years.

Barriers in using cardiometabolic risk information among consumers with low health literacy.

PubMed

Damman, Olga C; Bogaerts, Nina M M; van Dongen, Diana; Timmermans, Danielle R M

2016-02-01

To identify the barriers from the perspective of consumers with low health literacy in using risk information as provided in cardiometabolic risk assessments. A qualitative thematic approach using cognitive interviews was employed. We performed interviews with 23 people with low health literacy/health numeracy, who were recruited through (1) several organisations and snowball sampling and (2) an online access panel. Participants completed the risk test of the Dutch national cardiometabolic risk assessment and viewed the personalized information about their risk. They were asked to answer probing questions about different parts of the information. The qualitative data were analysed by identifying main themes related to barriers in using the information, using a descriptive thematic approach. The four main themes identified were as follows: (1) People did not fully accept the risk message, partly because numerical information had ambiguous meaning; (2) people lacked an adequate framework for understanding their risk; (3) the purpose and setting of the risk assessment was unclear; and (4) current information tells nothing new: A need for more specific risk information. The main barriers were that the current presentation seemed to provoke undervaluation of the risk number and that texts throughout the test, for example about cardiometabolic diseases, did not match people's existing knowledge, failing to provide an adequate framework for understanding cardiometabolic risk. Our findings have implications for the design of disease risk information, for example that alternative forms of communication should be explored that provide more intuitive meaning of the risk in terms of good versus bad. What is already known on this subject? Online disease risk assessments have become widely available internationally. People with low SES and health literacy tend to participate less in health screening. Risk information is difficult to understand, yet little research has been carried out among people with low health literacy. What does this study add? People with low health literacy do not optimally use risk information in an online cardiometabolic risk assessment. The texts provided in the cardiometabolic risk assessment do not suit to their existing knowledge. The typical risk communication (numbers, bar graph, verbal label) seems to provoke undervaluation of risk. © 2015 The British Psychological Society.

Learning the Structure of Biomedical Relationships from Unstructured Text

PubMed Central

Percha, Bethany; Altman, Russ B.

2015-01-01

The published biomedical research literature encompasses most of our understanding of how drugs interact with gene products to produce physiological responses (phenotypes). Unfortunately, this information is distributed throughout the unstructured text of over 23 million articles. The creation of structured resources that catalog the relationships between drugs and genes would accelerate the translation of basic molecular knowledge into discoveries of genomic biomarkers for drug response and prediction of unexpected drug-drug interactions. Extracting these relationships from natural language sentences on such a large scale, however, requires text mining algorithms that can recognize when different-looking statements are expressing similar ideas. Here we describe a novel algorithm, Ensemble Biclustering for Classification (EBC), that learns the structure of biomedical relationships automatically from text, overcoming differences in word choice and sentence structure. We validate EBC's performance against manually-curated sets of (1) pharmacogenomic relationships from PharmGKB and (2) drug-target relationships from DrugBank, and use it to discover new drug-gene relationships for both knowledge bases. We then apply EBC to map the complete universe of drug-gene relationships based on their descriptions in Medline, revealing unexpected structure that challenges current notions about how these relationships are expressed in text. For instance, we learn that newer experimental findings are described in consistently different ways than established knowledge, and that seemingly pure classes of relationships can exhibit interesting chimeric structure. The EBC algorithm is flexible and adaptable to a wide range of problems in biomedical text mining. PMID:26219079

Optimizing the Information Presentation on Mining Potential by using Web Services Technology with Restful Protocol

NASA Astrophysics Data System (ADS)

Abdillah, T.; Dai, R.; Setiawan, E.

2018-02-01

This study aims to develop the application of Web Services technology with RestFul Protocol to optimize the information presentation on mining potential. This study used User Interface Design approach for the information accuracy and relevance as well as the Web Service for the reliability in presenting the information. The results show that: the information accuracy and relevance regarding mining potential can be seen from the achievement of User Interface implementation in the application that is based on the following rules: The consideration of the appropriate colours and objects, the easiness of using the navigation, and users’ interaction with the applications that employs symbols and languages understood by the users; the information accuracy and relevance related to mining potential can be observed by the information presented by using charts and Tool Tip Text to help the users understand the provided chart/figure; the reliability of the information presentation is evident by the results of Web Services testing in Figure 4.5.6. This study finds out that User Interface Design and Web Services approaches (for the access of different Platform apps) are able to optimize the presentation. The results of this study can be used as a reference for software developers and Provincial Government of Gorontalo.

Characteristics of Arabic Websites with information on autism

PubMed Central

Alnemary, Fahad M.; Alnemary, Faisal M.; Alamri, Abdulrahman S.; Alamri, Yassar A.

2017-01-01

Objectives: To explore the characteristics of Arabic websites with information on autism spectrum disorder (ASD). Methods: The word autism in Arabic was entered into 2 popular search engines in September 2013 to locate the top 80 websites featuring the term. Websites were sorted using 10 characteristics, previously used to evaluate the characteristics of English websites with information on ASD. Results: Most websites were registered using a.com top-level domain (69%), were an individual’s site, forum, or blog (44%), and were updated after September 2012 (60%); they contained images or texts that seemed to persuade viewers to purchase products (43%); they provided information with the name of author(s) (64%); they described the basic characteristics of ASD; and they promoted various types of treatments, most of which lack empirical support (63%). However, few websites contained information with references to peer review resources (3%) or a warning statement that such information should not replace the opinion of a qualified professional (8%). Conclusion: Internet users may not find Arabic websites to be reliable sources to obtain information on ASD. Given the increased use of the internet, creation of websites that contain trusted information on ASD could potentially aid parents in accessing available services, help them learn about empirically validated interventions, and enable them to advocate for their children’s rights. PMID:28416788

Characteristics of Arabic Websites with information on autism.

PubMed

Alnemary, Fahad M; Alnemary, Faisal M; Alamri, Abdulrahman S; Alamri, Yassar A

2017-04-01

To explore the characteristics of Arabic websites with information on autism spectrum disorder (ASD). The word autism in Arabic was entered into 2 popular search engines in September 2013 to locate the top 80 websites featuring the term. Websites were sorted using 10 characteristics, previously used to evaluate the characteristics of English websites with information on ASD. Most websites were registered using a .com top-level domain (69%), were an individual`s site, forum, or blog (44%), and were updated after September 2012 (60%); they contained images or texts that seemed to persuade viewers to purchase products (43%); they provided information with the name of author(s) (64%); they described the basic characteristics of ASD; and they promoted various types of treatments, most of which lack empirical support (63%). However, few websites contained information with references to peer review resources (3%) or a warning statement that such information should not replace the opinion of a qualified professional (8%). Internet users may not find Arabic websites to be reliable sources to obtain information on ASD. Given the increased use of the internet, creation of websites that contain trusted information on ASD could potentially aid parents in accessing available services, help them learn about empirically validated interventions, and enable them to advocate for their children`s rights.

Overview of Drug Delivery Methods in Exotics, Including Their Anatomic and Physiologic Considerations.

PubMed

Coutant, Thomas; Vergneau-Grosset, Claire; Langlois, Isabelle

2018-05-01

Drug delivery to exotic animals may be extrapolated from domestic animals, but some physiologic and anatomic differences complicate treatment administration. Knowing these differences enables one to choose optimal routes for drug delivery. This review provides practitioners with a detailed review of the currently reported methods used for drug delivery of various medications in the most common exotic animal species. Exotic animal peculiarities that are relevant for drug administration are discussed in the text and outlined in tables and boxes to help the reader easily find targeted information. Copyright © 2018 Elsevier Inc. All rights reserved.

The effects of interaction with the device described by procedural text on recall, true/false, and task performance.

PubMed

Diehl, V A; Mills, C B

1995-11-01

In two experiments, subjects interacted to different extents with relevant devices while reading two complex multistep procedural texts and were then tested with task performance time, true/false, and recall measures. While reading, subjects performed the task (read and do), saw the experimenter perform the task (read and see experimenter do), imagined doing the task (read and imagine), looked at the device while reading (read and see), or only read (read only). Van Dijk and Kintsch's (1983) text representation theory led to the prediction that exposure to the task device (in the read-and-do, read-and-see, and read-and-see-experimenter-do conditions) would lead to the development of a stronger situation model and therefore faster task performance, whereas the read-only and read-and-see conditions would lead to a better textbase, and therefore better performance on the true/false and recall tasks. Paivio's (1991) dual coding theory led to the opposite prediction for recall. The results supported the text representation theory with task performance and recall. The read-and-see condition produced consistently good performance on the true/false measure. Amount of text study time contributed to recall performance. These findings support the notion that information available while reading leads to differential development of representations in memory, which, in turn, causes differences in performance on various measures.

Multiple External Representations: Bridges or Barriers to Climate Literacy?

NASA Astrophysics Data System (ADS)

Holzer, M. A.

2012-12-01

The continuous barrage of science related headlines and other media sources warn us of the need to heed the imperative for a science literate society. Climate change, genetics, evolution are a few of the charged and complex scientific topics requiring public understanding of the science to fully grasp the enormous reach of these topics in our daily lives. For instance, our global climate is changing as evidenced by the analysis of Earth observing satellite data, in-situ data, and proxy data records. How we as a global society decide to address the needs associated with a changing climate are contingent upon having a population that understands how the climate system functions, and can therefore make informed decisions on how to mitigate the effects of climate change. Communication in science relies heavily on the use of multiple representations to support the claims presented. However, these multiple representations require spatial and temporal skills to interpret information portrayed in them, and how a person engages with complex text and the multiple representations varies with the level of expertise one has with the content area. For example, a climatologist will likely identify anomalous data more quickly than a novice when presented with a graph of temperature change over time. These representations are used throughout textbooks as well as popular reading materials such as newspapers and magazines without much consideration for how a reader engages with complex text, diagrams, images, and graphs. If the ability to read and interact with scientific text found in popular literature is perceived as a worthy goal of scientific literacy, then it is imperative that readers understand the relationship between multiple representations and the text while interacting with the science literature they are reading. For example, in climate related articles multiple representations not only support the content, but they are part of the content not to be overlooked by a reader. Climatologists recognize the wealth of data and content found in these representations and therefore find themselves in a position where they can effectively interact with the author and their claims. This expert ability to seamlessly integrate text with the associated representations is at one end of the continuum of scientific text comprehension, but what abilities define a novice and those in between expert and novice in this continuum of scientific text comprehension? This talk will describe an ongoing research project with the overarching goal to establish the balance of this continuum in order to identify scaffolds that will assist non expert readers negotiate meaning from complex scientific text inclusive of multiple representations found in popular literature in climatology. It will inform those creating data representations on how best to create the representations so that claims and causal relationships may be derived from the literature or media source.

Vaping on Instagram: cloud chasing, hand checks and product placement

PubMed Central

Chu, Kar-Hai; Allem, Jon-Patrick; Cruz, Tess Boley; Unger, Jennifer B

2016-01-01

Introduction This study documented images posted on Instagram of electronic cigarettes (e-cigarette) and vaping (activity associated with e-cigarette use). Although e-cigarettes have been studied on Twitter, few studies have focused on Instagram, despite having 500 million users. Instagram’s emphasis on images warranted investigation of e-cigarettes, as past tobacco industry strategies demonstrated that images could be used to mislead in advertisements, or normalise tobacco-related behaviours. Findings should prove informative to tobacco control policies in the future. Methods 3 months of publicly available data were collected from Instagram, including images and associated metadata (n=2208). Themes of images were classified as (1) activity, for example, a person blowing vapour; (2) product, for example, a personal photo of an e-cigarette device; (3) advertisement; (4) text, for example, ‘meme’ or image containing mostly text and (5) other. User endorsement (likes) of each type of image was recorded. Caption text was analysed to explore different trends in vaping and e-cigarette-related text. Results Analyses found that advertisement-themed images were most common (29%), followed by product (28%), and activity (18%). Likes were more likely to accompany activity and product-themed images compared with advertisement or text-themed images (p<0.01). Vaping-related text greatly outnumbered e-cigarette-related text in the image captions. Conclusions Instagram affords its users the ability to post images of e-cigarette-related behaviours and gives advertisers the opportunity to display their product. Future research should incorporate novel data streams to improve public health surveillance, survey development and educational campaigns. PMID:27660111

Online EEG Classification of Covert Speech for Brain-Computer Interfacing.

PubMed

Sereshkeh, Alborz Rezazadeh; Trott, Robert; Bricout, Aurélien; Chau, Tom

2017-12-01

Brain-computer interfaces (BCIs) for communication can be nonintuitive, often requiring the performance of hand motor imagery or some other conversation-irrelevant task. In this paper, electroencephalography (EEG) was used to develop two intuitive online BCIs based solely on covert speech. The goal of the first BCI was to differentiate between 10[Formula: see text]s of mental repetitions of the word "no" and an equivalent duration of unconstrained rest. The second BCI was designed to discern between 10[Formula: see text]s each of covert repetition of the words "yes" and "no". Twelve participants used these two BCIs to answer yes or no questions. Each participant completed four sessions, comprising two offline training sessions and two online sessions, one for testing each of the BCIs. With a support vector machine and a combination of spectral and time-frequency features, an average accuracy of [Formula: see text] was reached across participants in the online classification of no versus rest, with 10 out of 12 participants surpassing the chance level (60.0% for [Formula: see text]). The online classification of yes versus no yielded an average accuracy of [Formula: see text], with eight participants exceeding the chance level. Task-specific changes in EEG beta and gamma power in language-related brain areas tended to provide discriminatory information. To our knowledge, this is the first report of online EEG classification of covert speech. Our findings support further study of covert speech as a BCI activation task, potentially leading to the development of more intuitive BCIs for communication.

Query-oriented evidence extraction to support evidence-based medicine practice.

PubMed

Sarker, Abeed; Mollá, Diego; Paris, Cecile

2016-02-01

Evidence-based medicine practice requires medical practitioners to rely on the best available evidence, in addition to their expertise, when making clinical decisions. The medical domain boasts a large amount of published medical research data, indexed in various medical databases such as MEDLINE. As the size of this data grows, practitioners increasingly face the problem of information overload, and past research has established the time-associated obstacles faced by evidence-based medicine practitioners. In this paper, we focus on the problem of automatic text summarisation to help practitioners quickly find query-focused information from relevant documents. We utilise an annotated corpus that is specialised for the task of evidence-based summarisation of text. In contrast to past summarisation approaches, which mostly rely on surface level features to identify salient pieces of texts that form the summaries, our approach focuses on the use of corpus-based statistics, and domain-specific lexical knowledge for the identification of summary contents. We also apply a target-sentence-specific summarisation technique that reduces the problem of underfitting that persists in generic summarisation models. In automatic evaluations run over a large number of annotated summaries, our extractive summarisation technique statistically outperforms various baseline and benchmark summarisation models with a percentile rank of 96.8%. A manual evaluation shows that our extractive summarisation approach is capable of selecting content with high recall and precision, and may thus be used to generate bottom-line answers to practitioners' queries. Our research shows that the incorporation of specialised data and domain-specific knowledge can significantly improve text summarisation performance in the medical domain. Due to the vast amounts of medical text available, and the high growth of this form of data, we suspect that such summarisation techniques will address the time-related obstacles associated with evidence-based medicine. Copyright © 2015 Elsevier Inc. All rights reserved.

Automated detection of discourse segment and experimental types from the text of cancer pathway results sections.

PubMed

Burns, Gully A P C; Dasigi, Pradeep; de Waard, Anita; Hovy, Eduard H

2016-01-01

Automated machine-reading biocuration systems typically use sentence-by-sentence information extraction to construct meaning representations for use by curators. This does not directly reflect the typical discourse structure used by scientists to construct an argument from the experimental data available within a article, and is therefore less likely to correspond to representations typically used in biomedical informatics systems (let alone to the mental models that scientists have). In this study, we develop Natural Language Processing methods to locate, extract, and classify the individual passages of text from articles' Results sections that refer to experimental data. In our domain of interest (molecular biology studies of cancer signal transduction pathways), individual articles may contain as many as 30 small-scale individual experiments describing a variety of findings, upon which authors base their overall research conclusions. Our system automatically classifies discourse segments in these texts into seven categories (fact, hypothesis, problem, goal, method, result, implication) with an F-score of 0.68. These segments describe the essential building blocks of scientific discourse to (i) provide context for each experiment, (ii) report experimental details and (iii) explain the data's meaning in context. We evaluate our system on text passages from articles that were curated in molecular biology databases (the Pathway Logic Datum repository, the Molecular Interaction MINT and INTACT databases) linking individual experiments in articles to the type of assay used (coprecipitation, phosphorylation, translocation etc.). We use supervised machine learning techniques on text passages containing unambiguous references to experiments to obtain baseline F1 scores of 0.59 for MINT, 0.71 for INTACT and 0.63 for Pathway Logic. Although preliminary, these results support the notion that targeting information extraction methods to experimental results could provide accurate, automated methods for biocuration. We also suggest the need for finer-grained curation of experimental methods used when constructing molecular biology databases. © The Author(s) 2016. Published by Oxford University Press.

Analyzing readability of medicines information material in Slovenia

PubMed Central

Kasesnik, Karin; Kline, Mihael

2011-01-01

Objective: Readability has been claimed to be an important factor for understanding texts describing health symptoms and medications. Such texts may be a factor which indirectly affects the health of the population. Despite the expertise of physicians, the readability of information sources may be important for acquiring essential treatment information. The aim of this study was to measure the readability level of medicines promotion material in Slovenia. Methods: The Flesch readability formula was modified to comply with Slovene texts. On the basis of determining the Slovene readability algorithm, the readability ease related to the readability grade level of different Slovene texts was established. In order to estimate an adjustment of the texts to the recommended readability grade level of the targeted population, readability values of English texts were set. One sample t-test and standard deviations from the arithmetic mean values were used as statistical tests. Results: The results of the research showed low readability scores of the Slovene texts. Difficult readability values were seen in different types of examined texts: in patient information leaflets, in the summaries of product characteristics, in promotional materials, while describing over-the-counter medications and in the materials for creating disease awareness. Especially low readability values were found within the texts belonging to promotional materials intended for the physicians. None of researched items, not even for the general public, were close to primary school grade readability levels and therefore could not be described as easily readable. Conclusion: This study provides an understanding of the level of readability of selected Slovene medicines information material. It was concluded that health-related texts were not compliant with general public or with healthcare professional needs. PMID:23093886

46 CFR 160.076-35 - Information pamphlet.

Code of Federal Regulations, 2010 CFR

2010-10-01

... pamphlet prior to purchase. The pamphlet text and layout must be submitted to the Commandant for approval... information, instructions, or illustrations must not be included within the approved text and layout. Sample pamphlet text and layout may be obtained by contacting the Commandant. This pamphlet may be combined with...

46 CFR 160.076-35 - Information pamphlet.

Code of Federal Regulations, 2011 CFR

2011-10-01

... pamphlet prior to purchase. The pamphlet text and layout must be submitted to the Commandant for approval... information, instructions, or illustrations must not be included within the approved text and layout. Sample pamphlet text and layout may be obtained by contacting the Commandant. This pamphlet may be combined with...

Using a Model of Verbal Art to Analyse the Visual: Analysing Multimodal Texts in Secondary English

ERIC Educational Resources Information Center

Ravelli, Louise

2016-01-01

Multimodal texts are now part of the curriculum for school English, but they are by their nature inherently complex, and pose many challenges for the classroom. Not least is finding a way to manage the technical complexity of accounting for these texts, as well as finding a way to move students beyond simple observation and description to critical…

Exploring Representativeness and Informativeness for Active Learning.

PubMed

Du, Bo; Wang, Zengmao; Zhang, Lefei; Zhang, Liangpei; Liu, Wei; Shen, Jialie; Tao, Dacheng

2017-01-01

How can we find a general way to choose the most suitable samples for training a classifier? Even with very limited prior information? Active learning, which can be regarded as an iterative optimization procedure, plays a key role to construct a refined training set to improve the classification performance in a variety of applications, such as text analysis, image recognition, social network modeling, etc. Although combining representativeness and informativeness of samples has been proven promising for active sampling, state-of-the-art methods perform well under certain data structures. Then can we find a way to fuse the two active sampling criteria without any assumption on data? This paper proposes a general active learning framework that effectively fuses the two criteria. Inspired by a two-sample discrepancy problem, triple measures are elaborately designed to guarantee that the query samples not only possess the representativeness of the unlabeled data but also reveal the diversity of the labeled data. Any appropriate similarity measure can be employed to construct the triple measures. Meanwhile, an uncertain measure is leveraged to generate the informativeness criterion, which can be carried out in different ways. Rooted in this framework, a practical active learning algorithm is proposed, which exploits a radial basis function together with the estimated probabilities to construct the triple measures and a modified best-versus-second-best strategy to construct the uncertain measure, respectively. Experimental results on benchmark datasets demonstrate that our algorithm consistently achieves superior performance over the state-of-the-art active learning algorithms.

Harnessing Vehicle-to-Pedestrian (V2P) Communication Technology: Sending Traffic Warnings to Texting Pedestrians.

PubMed

Rahimian, Pooya; O'Neal, Elizabeth E; Zhou, Shiwen; Plumert, Jodie M; Kearney, Joseph K

2018-06-01

We examined how sending mobile-device warnings to texting pedestrians when they initiate an unsafe road crossing influences their decisions and actions. Pedestrian texting has been identified as a key risk factor in pedestrian-vehicle collisions. Advances in sensing and communications technology offer the possibility of providing pedestrians with information about traffic conditions to assist them in safely crossing traffic-filled roadways. However, it is unclear how this information can be most effectively communicated to pedestrians. We examined how texting and nontexting pedestrians crossed roads with continuous traffic in a large-screen, immersive pedestrian simulator using a between-subjects design with three conditions: texting, warning, and control. Texting participants in the warning condition received an alarm on their cell phone when they began to cross a dangerously small gap. The results demonstrate the detrimental influence of texting on pedestrians' gap selection, movement timing, and gaze behavior, and show the potential of warnings to improve decision making and safety. However, the results also reveal the limits of warning texting participants once they initiate a crossing and possible overreliance on technology that may lead to reduced situation awareness. Mobile devices and short-range communication technologies offer enormous potential to assist pedestrians, but further study is needed to better understand how to provide useful information in a timely manner. The technology for communicating traffic information to pedestrians via mobile devices is on the horizon. Research on how such information influences all aspects of pedestrian behavior is critical to developing effective solutions.

Short text sentiment classification based on feature extension and ensemble classifier

NASA Astrophysics Data System (ADS)

Liu, Yang; Zhu, Xie

2018-05-01

With the rapid development of Internet social media, excavating the emotional tendencies of the short text information from the Internet, the acquisition of useful information has attracted the attention of researchers. At present, the commonly used can be attributed to the rule-based classification and statistical machine learning classification methods. Although micro-blog sentiment analysis has made good progress, there still exist some shortcomings such as not highly accurate enough and strong dependence from sentiment classification effect. Aiming at the characteristics of Chinese short texts, such as less information, sparse features, and diverse expressions, this paper considers expanding the original text by mining related semantic information from the reviews, forwarding and other related information. First, this paper uses Word2vec to compute word similarity to extend the feature words. And then uses an ensemble classifier composed of SVM, KNN and HMM to analyze the emotion of the short text of micro-blog. The experimental results show that the proposed method can make good use of the comment forwarding information to extend the original features. Compared with the traditional method, the accuracy, recall and F1 value obtained by this method have been improved.

The Effect of Highlighting on Processing and Memory of Central and Peripheral Text Information: Evidence from Eye Movements

ERIC Educational Resources Information Center

Yeari, Menahem; Oudega, Marja; van den Broek, Paul

2017-01-01

The present study investigated the effect of text highlighting on online processing and memory of central and peripheral information. We compared processing time (using eye-tracking methodology) and recall of central and peripheral information for three types of highlighting: (a) highlighting of central information, (b) highlighting of peripheral…

Reading Pictures for Story Comprehension Requires Mental Imagery Skills

PubMed Central

Boerma, Inouk E.; Mol, Suzanne E.; Jolles, Jelle

2016-01-01

We examined the role of mental imagery skills on story comprehension in 150 fifth graders (10- to 12-year-olds), when reading a narrative book chapter with alternating words and pictures (i.e., text blocks were alternated by one- or two-page picture spreads). A parallel group design was used, in which we compared our experimental book version, in which pictures were used to replace parts of the corresponding text, to two control versions, i.e., a text-only version and a version with the full story text and all pictures. Analyses showed an interaction between mental imagery and book version: children with higher mental imagery skills outperformed children with lower mental imagery skills on story comprehension after reading the experimental narrative. This was not the case for both control conditions. This suggests that children’s mental imagery skills significantly contributed to the mental representation of the story that they created, by successfully integrating information from both words and pictures. The results emphasize the importance of mental imagery skills for explaining individual variability in reading development. Implications for educational practice are that we should find effective ways to instruct children how to “read” pictures and how to develop and use their mental imagery skills. This will probably contribute to their mental models and therefore their story comprehension. PMID:27822194

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

PubMed

Yan, Erjia; Williams, Jake; Chen, Zheng

2017-01-01

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

Methane oxidation in a landfill cover soil reactor: Changing of kinetic parameters and microorganism community structure.

PubMed

Xing, Zhi L; Zhao, Tian T; Gao, Yan H; Yang, Xu; Liu, Shuai; Peng, Xu Y

2017-02-23

Changing of CH 4 oxidation potential and biological characteristics with CH 4 concentration was studied in a landfill cover soil reactor (LCSR). The maximum rate of CH 4 oxidation reached 32.40 mol d -1 m -2 by providing sufficient O 2 in the LCSR. The kinetic parameters of methane oxidation in landfill cover soil were obtained by fitting substrate diffusion and consumption model based on the concentration profile of CH 4 and O 2 . The values of [Formula: see text] (0.93-2.29%) and [Formula: see text] (140-524 nmol kg soil-DW -1 ·s -1 ) increased with CH 4 concentration (9.25-20.30%), while the values of [Formula: see text] (312.9-2.6%) and [Formula: see text] (1.3 × 10 -5 to 9.0 × 10 -3 nmol mL -1 h -1 ) were just the opposite. MiSeq pyrosequencing data revealed that Methylobacter (the relative abundance was decreased with height of LCSR) and Methylococcales_unclassified (the relative abundance was increased expect in H 80) became the key players after incubation with increasing CH 4 concentration. These findings provide information for assessing CH 4 oxidation potential and changing of biological characteristics in landfill cover soil.

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

PubMed Central

Williams, Jake; Chen, Zheng

2017-01-01

Publication metadata help deliver rich analyses of scholarly communication. However, research concepts and ideas are more effectively expressed through unstructured fields such as full texts. Thus, the goals of this paper are to employ a full-text enabled method to extract terms relevant to disciplinary vocabularies, and through them, to understand the relationships between disciplines. This paper uses an efficient, domain-independent term extraction method to extract disciplinary vocabularies from a large multidisciplinary corpus of PLoS ONE publications. It finds a power-law pattern in the frequency distributions of terms present in each discipline, indicating a semantic richness potentially sufficient for further study and advanced analysis. The salient relationships amongst these vocabularies become apparent in application of a principal component analysis. For example, Mathematics and Computer and Information Sciences were found to have similar vocabulary use patterns along with Engineering and Physics; while Chemistry and the Social Sciences were found to exhibit contrasting vocabulary use patterns along with the Earth Sciences and Chemistry. These results have implications to studies of scholarly communication as scholars attempt to identify the epistemological cultures of disciplines, and as a full text-based methodology could lead to machine learning applications in the automated classification of scholarly work according to disciplinary vocabularies. PMID:29186141

Influence of Hearing Risk Information on the Motivation and Modification of Personal Listening Device Use.

PubMed

Serpanos, Yula C; Berg, Abbey L; Renne, Brittany

2016-12-01

The purpose of this study was (a) to investigate the behaviors, knowledge, and motivators associated with personal listening device (PLD) use and (b) to determine the influence of different types of hearing health risk education information (text with or without visual images) on motivation to modify PLD listening use behaviors in young adults. College-age students (N = 523) completed a paper-and-pencil survey tapping their behaviors, knowledge, and motivation regarding listening to music or media at high volume using PLDs. Participants rated their motivation to listen to PLDs at lower volume levels following each of three information sets: text only, behind-the-ear hearing aid image with text, and inner ear hair cell damage image with text. Acoustically pleasing and emotional motives were the most frequently cited (38%-45%) reasons for listening to music or media using a PLD at high volume levels. The behind-the-ear hearing aid image with text information was significantly (p < .0001) more motivating to participants than text alone or the inner ear hair cell damage image with text. Evocative imagery using hearing aids may be an effective approach in hearing protective health campaigns for motivating safer listening practices with PLDs in young adults.

Automatic recognition of disorders, findings, pharmaceuticals and body structures from clinical text: an annotation and machine learning study.

PubMed

Skeppstedt, Maria; Kvist, Maria; Nilsson, Gunnar H; Dalianis, Hercules

2014-06-01

Automatic recognition of clinical entities in the narrative text of health records is useful for constructing applications for documentation of patient care, as well as for secondary usage in the form of medical knowledge extraction. There are a number of named entity recognition studies on English clinical text, but less work has been carried out on clinical text in other languages. This study was performed on Swedish health records, and focused on four entities that are highly relevant for constructing a patient overview and for medical hypothesis generation, namely the entities: Disorder, Finding, Pharmaceutical Drug and Body Structure. The study had two aims: to explore how well named entity recognition methods previously applied to English clinical text perform on similar texts written in Swedish; and to evaluate whether it is meaningful to divide the more general category Medical Problem, which has been used in a number of previous studies, into the two more granular entities, Disorder and Finding. Clinical notes from a Swedish internal medicine emergency unit were annotated for the four selected entity categories, and the inter-annotator agreement between two pairs of annotators was measured, resulting in an average F-score of 0.79 for Disorder, 0.66 for Finding, 0.90 for Pharmaceutical Drug and 0.80 for Body Structure. A subset of the developed corpus was thereafter used for finding suitable features for training a conditional random fields model. Finally, a new model was trained on this subset, using the best features and settings, and its ability to generalise to held-out data was evaluated. This final model obtained an F-score of 0.81 for Disorder, 0.69 for Finding, 0.88 for Pharmaceutical Drug, 0.85 for Body Structure and 0.78 for the combined category Disorder+Finding. The obtained results, which are in line with or slightly lower than those for similar studies on English clinical text, many of them conducted using a larger training data set, show that the approaches used for English are also suitable for Swedish clinical text. However, a small proportion of the errors made by the model are less likely to occur in English text, showing that results might be improved by further tailoring the system to clinical Swedish. The entity recognition results for the individual entities Disorder and Finding show that it is meaningful to separate the general category Medical Problem into these two more granular entity types, e.g. for knowledge mining of co-morbidity relations and disorder-finding relations. Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

Retrieval practice enhances the ability to evaluate complex physiology information.

PubMed

Dobson, John; Linderholm, Tracy; Perez, Jose

2018-05-01

Many investigations have shown that retrieval practice enhances the recall of different types of information, including both medical and physiological, but the effects of the strategy on higher-order thinking, such as evaluation, are less clear. The primary aim of this study was to compare how effectively retrieval practice and repeated studying (i.e. reading) strategies facilitated the evaluation of two research articles that advocated dissimilar conclusions. A secondary aim was to determine if that comparison was affected by using those same strategies to first learn important contextual information about the articles. Participants were randomly assigned to learn three texts that provided background information about the research articles either by studying them four consecutive times (Text-S) or by studying and then retrieving them two consecutive times (Text-R). Half of both the Text-S and Text-R groups were then randomly assigned to learn two physiology research articles by studying them four consecutive times (Article-S) and the other half learned them by studying and then retrieving them two consecutive times (Article-R). Participants then completed two assessments: the first tested their ability to critique the research articles and the second tested their recall of the background texts. On the article critique assessment, the Article-R groups' mean scores of 33.7 ± 4.7% and 35.4 ± 4.5% (Text-R then Article-R group and Text-S then Article-R group, respectively) were both significantly (p < 0.05) higher than the two Article-S mean scores of 19.5 ± 4.4% and 21.7 ± 2.9% (Text-S then Article-S group and Text-R then Article-S group, respectively). There was no difference between the two Article-R groups on the article critique assessment, indicating those scores weren't affected by the different contextual learning strategies. Retrieval practice promoted superior critical evaluation of the research articles, and the results also indicated the strategy enhanced the recall of background information. © 2018 John Wiley & Sons Ltd and The Association for the Study of Medical Education.

Using fuzzy data mining to diagnose patients' degrees of melancholia

NASA Astrophysics Data System (ADS)

Huang, Yo-Ping; Kuo, Wen-Lin

2011-06-01

The common treatments of melancholia are psychotherapy and taking medicines. The psychotherapy treatment which this study focuses on is limited by time and location. It is easier for psychiatrists to grasp information from clinical manifestation but it is difficult for psychiatrists to collect information from patients' daily conversations or emotion. To design a system which psychiatrists enable to capture patients' daily symptoms will show great help in the treatment. This study proposes to use fuzzy data mining algorithm to find association rules among keywords segmented from patients' daily voice/text messages to assist psychiatrists extract useful information before outpatient service. Patients of melancholia can use devices such as mobile phones or computers to record their own emotion anytime and anywhere and then uploading the recorded files to the back-end server for further analysis. The analytical results can be used for psychiatrists to diagnose patients' degrees of melancholia. Experimental results will be given to verify the effectiveness of the proposed methodology.

The influence of visual contrast and case changes on parafoveal preview benefits during reading.

PubMed

Wang, Chin-An; Inhoff, Albrecht W

2010-04-01

Reingold and Rayner (2006) showed that the visual contrast of a fixated target word influenced its viewing duration, but not the viewing of the next (posttarget) word in the text that was shown in regular contrast. Configurational target changes, by contrast, influenced target and posttarget viewing. The current study examined whether this effect pattern can be attributed to differential processing of the posttarget word during target viewing. A boundary paradigm (Rayner, 1975) was used to provide an informative or uninformative posttarget preview and to reveal the word when it was fixated. Consistent with the earlier study, more time was spent viewing the target when its visual contrast was low and its configuration unfamiliar. Critically, target contrast had no effect on the acquisition of useful information from a posttarget preview, but an unfamiliar target configuration diminished the usefulness of an informative posttarget preview. These findings are consistent with Reingold and Rayner's (2006) claim that saccade programming and attention shifting during reading can be controlled by functionally distinct word recognition processes.

Challenges and methodology for indexing the computerized patient record.

PubMed

Ehrler, Frédéric; Ruch, Patrick; Geissbuhler, Antoine; Lovis, Christian

2007-01-01

Patient records contain most crucial documents for managing the treatments and healthcare of patients in the hospital. Retrieving information from these records in an easy, quick and safe way helps care providers to save time and find important facts about their patient's health. This paper presents the scalability issues induced by the indexing and the retrieval of the information contained in the patient records. For this study, EasyIR, an information retrieval tool performing full text queries and retrieving the related documents has been used. An evaluation of the performance reveals that the indexing process suffers from overhead consequence of the particular structure of the patient records. Most IR tools are designed to manage very large numbers of documents in a single index whereas in our hypothesis, one index per record, which usually implies few documents, has been imposed. As the number of modifications and creations of patient records are significant in a day, using a specialized and efficient indexation tool is required.

Randomized controlled trial of a messaging intervention to increase fruit and vegetable intake in adolescents: Affective versus instrumental messages.

PubMed

Carfora, Valentina; Caso, Daniela; Conner, Mark

2016-11-01

The present research aimed to test the efficacy of affective and instrumental text messages compared with a no-message control as a strategy to increase fruit and vegetable intake (FVI) in adolescents. A randomized controlled trial was used test impact of different text messages compared with no message on FVI over a 2-week period. A total of 1,065 adolescents (14-19 years) from a high school of the South of Italy completed the baseline questionnaire and were randomly allocated to one of three conditions: instrumental messages (N = 238), affective messages (N = 300), and no messages (N = 521). Students in the message conditions received one message each day over a 2-week period. The messages targeted affective (affective benefits) or instrumental (instrumental benefits) information about FVI. Self-reported FVI at 2 weeks was the key dependent variable. Analyses were based on the N = 634 who completed all aspects of the study. Findings showed that messages significantly increased FVI, particularly in the affective condition and this effect was partially mediated by changes in affective attitude and intentions towards FVI. Text messages can be used to increase FVI in adolescents. Text messages based on affective benefits are more effective than text messages based on instrumental benefits. Statement of contribution What is already known on this subject? Text messages have been shown to promote positive change in health behaviours. However, the most appropriate target for such text messages is less clear although targeting attitudes may be effective. What does this study add? This randomized controlled study shows that text messages targeting instrumental or affective attitudes produce changes in fruit and vegetable intake (FVI) in adolescents. Text messages targeting affective attitudes are shown to be more effective than text messages targeting instrumental attitudes. The effect of affective text messages on FVI was partially mediated by changes in affective attitudes. © 2016 The British Psychological Society.

Text Processing of Domain-Related Information for Individuals with High and Low Domain Knowledge.

ERIC Educational Resources Information Center

Spilich, George J.; And Others

1979-01-01

The way in which previously acquired knowledge affects the processing on new domain-related information was investigated. Text processing was studied in two groups differing in knowledge of the domain of baseball. A knowledge structure for the domain was constructed, and text propositions were classified. (SW)

Effects of Text Content and Beliefs on Informal Argument Evaluation

ERIC Educational Resources Information Center

Wolfe, Michael B.; Williams, Todd J.

2017-01-01

We examined the influence of reading a one-sided text on informal argument evaluation. After reporting initial beliefs in a separate online prescreening, subjects with polarized beliefs read a belief-consistent or -inconsistent text about the benefits of spanking children as a means of discipline. After reading, subjects reported their beliefs and…

Eye Movements in Integrating Geometric Text and Figure: Scanpaths and Given-New Effects

ERIC Educational Resources Information Center

Lee, Wei-Kuang; Wu, Chao-Jung

2018-01-01

This study explored the processes in which adult readers integrate text-figure information when reading geometric descriptions. Because geometry conveys rich spatial information, we investigated the reading scanpaths as text- or figure-directed and the given-new effects. Eye movement data from 65 college student participants showed that…