WorldWideScience

Sample records for undergraduates extract information

  1. Undergraduate Students' Information Search Practices

    Science.gov (United States)

    Nikolopoulou, Kleopatra; Gialamas, Vasilis

    2011-01-01

    This paper investigates undergraduate students' information search practices. The subjects were 250 undergraduate students from two university departments in Greece, and a questionnaire was used to document their search practices. The results showed that the Web was the primary information system searched in order to find information for…

  2. Information extraction system

    Science.gov (United States)

    Lemmond, Tracy D; Hanley, William G; Guensche, Joseph Wendell; Perry, Nathan C; Nitao, John J; Kidwell, Paul Brandon; Boakye, Kofi Agyeman; Glaser, Ron E; Prenger, Ryan James

    2014-05-13

    An information extraction system and methods of operating the system are provided. In particular, an information extraction system for performing meta-extraction of named entities of people, organizations, and locations as well as relationships and events from text documents are described herein.

  3. Developing an Undergraduate Information Systems Security Track

    Science.gov (United States)

    Sharma, Aditya; Murphy, Marianne C.; Rosso, Mark A.; Grant, Donna

    2013-01-01

    Information Systems Security as a specialized area of study has mostly been taught at the graduate level. This paper highlights the efforts of establishing an Information Systems (IS) Security track at the undergraduate level. As there were many unanswered questions and concerns regarding the Security curriculum, focus areas, the benefit of…

  4. Multimedia Information Extraction

    CERN Document Server

    Maybury, Mark T

    2012-01-01

    The advent of increasingly large consumer collections of audio (e.g., iTunes), imagery (e.g., Flickr), and video (e.g., YouTube) is driving a need not only for multimedia retrieval but also information extraction from and across media. Furthermore, industrial and government collections fuel requirements for stock media access, media preservation, broadcast news retrieval, identity management, and video surveillance.  While significant advances have been made in language processing for information extraction from unstructured multilingual text and extraction of objects from imagery and vid

  5. Challenges in Managing Information Extraction

    Science.gov (United States)

    Shen, Warren H.

    2009-01-01

    This dissertation studies information extraction (IE), the problem of extracting structured information from unstructured data. Example IE tasks include extracting person names from news articles, product information from e-commerce Web pages, street addresses from emails, and names of emerging music bands from blogs. IE is all increasingly…

  6. Use of electronic information resources among the undergraduate ...

    African Journals Online (AJOL)

    The study aimed at finding out the use of electronic information resources among undergraduate students in the Federal University of Technology, Akure. The study is based on descriptive survey design method and the population consists of 16,962 undergraduate students across different schools at the Federal University ...

  7. Solvent Extraction of Copper: An Extractive Metallurgy Exercise for Undergraduate Teaching Laboratories

    Science.gov (United States)

    Smellie, Iain A.; Forgan, Ross S.; Brodie, Claire; Gavine, Jack S.; Harris, Leanne; Houston, Daniel; Hoyland, Andrew D.; McCaughan, Rory P.; Miller, Andrew J.; Wilson, Liam; Woodhall, Fiona M.

    2016-01-01

    A multidisciplinary experiment for advanced undergraduate students has been developed in the context of extractive metallurgy. The experiment serves as a model of an important modern industrial process that combines aspects of organic/inorganic synthesis and analysis. Students are tasked to prepare a salicylaldoxime ligand and samples of the…

  8. Information literacy skills of undergraduate medical radiation students

    International Nuclear Information System (INIS)

    Shanahan, Madeleine C.

    2007-01-01

    Undergraduate education is undergoing a shift away from the traditional transmission of a fixed body of knowledge to a learning approach where the emphasis is on supporting learners to learn. Central to this change is recognition that undergraduate education programmes should aim to develop independent learners who become effective lifelong learning practitioners. Successful independent learning as an undergraduate student or as a lifelong learner requires the learner to have well developed information literacy skills. An Online Electronic Information Skills (OEIS) intervention was designed to develop the information literacy skills in a cohort of second year undergraduate radiography students. An evaluation focused on learning outcomes was used to provide evidence of development of information literacy within the undergraduate course. The evaluation clearly demonstrated substantial skill development in students' ability to access scholarly information in their discipline area. The reported continued use of database searching by this cohort of students seven months after the OEIS intervention provides evidence that they are continuing to access and use scholarly information, information literacy skills necessary for their future work context

  9. Information literacy skills of undergraduate medical radiation students

    Energy Technology Data Exchange (ETDEWEB)

    Shanahan, Madeleine C. [Medical Radiations, School of Medical Sciences, RMIT University, PO Box 71, Bundoora, Victoria (Australia)]. E-mail: mshanahan@rmit.edu.au

    2007-08-15

    Undergraduate education is undergoing a shift away from the traditional transmission of a fixed body of knowledge to a learning approach where the emphasis is on supporting learners to learn. Central to this change is recognition that undergraduate education programmes should aim to develop independent learners who become effective lifelong learning practitioners. Successful independent learning as an undergraduate student or as a lifelong learner requires the learner to have well developed information literacy skills. An Online Electronic Information Skills (OEIS) intervention was designed to develop the information literacy skills in a cohort of second year undergraduate radiography students. An evaluation focused on learning outcomes was used to provide evidence of development of information literacy within the undergraduate course. The evaluation clearly demonstrated substantial skill development in students' ability to access scholarly information in their discipline area. The reported continued use of database searching by this cohort of students seven months after the OEIS intervention provides evidence that they are continuing to access and use scholarly information, information literacy skills necessary for their future work context.

  10. Building information literacy skills among undergraduate students in ...

    African Journals Online (AJOL)

    Knowledge is the Country's most precious commodity, and people who are information literate are the most valuable resource. The study aimed at establishing strategies for building information literacy skills among the undergraduate students for long life learning in Makerere University. It intended to establish information ...

  11. Social Networks in the Information Horizons of Undergraduate Students

    Directory of Open Access Journals (Sweden)

    Tien-I Tsai

    2012-06-01

    Full Text Available The information horizon is a mental map where users position their information sources in different contexts and situations, and the social network is one of the critical concepts in information horizons. Previous research on undergraduate and graduate students’ information horizons has revealed that various human sources are used in academic or career-related contexts (Sonnenwald, Wildemuth. & Harmon, 2001; Tsai, 2010. While most literature shows that stronger tie sources are more likely to be used as a preferred or primary information source (Steffes & Burgee, 2009, Granovetter (1973 emphasizes the importance of “the strength of weak ties” in information diffusion. This study aims to examine undergraduates’ social networks in their coursework-related information horizons as well as to investigate how strong and weak ties are positioned in their information horizons. A pretest of a web survey with 18 responses and 3 brief follow-up interviews were conducted with an undergraduate class at a large state university. After the pretest, fifteen undergraduate students were recruited to participate in the study. Results showed that undergraduate students tend to rely more on their colleagues and teaching assistants than on professors when they have questions on coursework-related issues. While stronger ties may be more frequently consulted for moral support, the tie strength does not necessarily determine the frequency of consultation about other coursework-related issues.

  12. Transforming Nigeria undergraduate training through information ...

    African Journals Online (AJOL)

    Paper portrayed information competence as the ability to access, evaluate and use information to solve problems, and to communicate. Information literate people are those who have learned to learn. It is easierfor them to learn because they know how information is organized - The paper suggested the integration of the ...

  13. Extracting useful information from images

    DEFF Research Database (Denmark)

    Kucheryavskiy, Sergey

    2011-01-01

    The paper presents an overview of methods for extracting useful information from digital images. It covers various approaches that utilized different properties of images, like intensity distribution, spatial frequencies content and several others. A few case studies including isotropic...... and heterogeneous, congruent and non-congruent images are used to illustrate how the described methods work and to compare some of them...

  14. Interpreting Undergraduates' Information-Seeking Behavior through Epistemological Development Theories.

    Science.gov (United States)

    Whitmire, Ethelene

    2000-01-01

    This pilot study tests a new model of undergraduates' information-seeking behavior that incorporates the epistemological development theories of college students and suggests stages of cognitive processes that students undertake as they construct knowledge. Results suggest that students' stages of epistemological development directly impact their…

  15. Disciplinary Differences and Undergraduates' Information-Seeking Behavior.

    Science.gov (United States)

    Whitmire, Ethelene

    2002-01-01

    Applied the Biglan model of disciplinary differences to the information-seeking behavior patterns of undergraduates responding to questions on the College Student Experiences Questionnaire (CSEQ). Discusses implications for the redesign of academic library services and use of the Biglan model as a theoretical framework for future library research.…

  16. What Do Undergraduate Course Syllabi Say about Information Literacy?

    Science.gov (United States)

    McGowan, Britt; Gonzalez, Melissa; Stanny, Claudia J.

    2016-01-01

    Librarians seek opportunities to improve outreach to faculty and promote shared interests in information literacy. A comprehensive review of syllabi for all undergraduate courses offered during one academic term examined course-level learning outcomes and graded assignments to see how well they aligned with the five Association of College and…

  17. Undergraduates' Use of Social Media as Information Sources

    Science.gov (United States)

    Kim, Kyung-Sun; Sin, Sei-Ching Joanna; Yoo-Lee, Eun Young

    2014-01-01

    Social media have become increasingly popular among different user groups. Although used for social purposes, some social media platforms (such as Wikipedia) have been emerging as important information sources. Focusing on undergraduate students, a survey was conducted to investigate the following: (1) which social media platforms are used as…

  18. Information seeking behaviour of undergraduates in a Nigerian ...

    African Journals Online (AJOL)

    Abstract. This study investigates the information seeking behaviour of undergraduates of the Federal University of Petroleum Resources (FUPRE). A structured questionnaire was used for data gathering in the University. The questionnaire data was analyzed using frequency, bar char, and percentage for easy interpretation.

  19. Informal learning in SME majors for African American female undergraduates

    OpenAIRE

    Ezella McPherson

    2014-01-01

    This research investigates how eight undergraduate African American women in science, math, and engineering (SME) majors accessed cultural capital and informal science learning opportunities from preschool to college. It uses the multiple case study methodological approach and cultural capital as the framework to better understand their opportunities to engage in free-choice science learning. The article demonstrates that African American women have access to cultural capital and informal sci...

  20. Undergraduate Research in Quantum Information Science

    Science.gov (United States)

    Lyons, David W.

    2017-01-01

    Quantum Information Science (QIS) is an interdisciplinary field involving mathematics, computer science, and physics. Appealing aspects include an abundance of accessible open problems, active interest and support from government and industry, and an energetic, open, and collaborative international research culture. We describe our student-faculty…

  1. Evidence-informed strategies for undergraduate nutrition education: a review.

    Science.gov (United States)

    Newton, Genevieve; Bettger, William; Buchholz, Andrea; Kulak, Verena; Racey, Megan

    2015-07-01

    This review focuses on evidence-informed strategies to enhance learning in undergraduate nutrition education. Here, we describe the general shift in undergraduate education from a teacher-centered model of teaching to a student-centered model and present approaches that have been proposed to address the challenges associated with this shift. We further discuss case-based, project-based, and community-based learning, patient simulation, and virtual clinical trials as educational strategies to improve students' critical thinking and problem-solving skills; these strategies are well suited to the teaching of undergraduate nutrition. The strategies are defined, and we discuss the potential benefits to students and how they can be applied specifically to the teaching of undergraduate nutrition. Finally, we provide a critical analysis of the limitations associated with these techniques and propose several directions for future research, including research methodologies that may best evaluate teaching strategies in terms of both teaching and learning outcomes. Consideration of these evidence-informed strategies is warranted, given their ability to encourage students to develop relevant skills that will facilitate their transition beyond the university classroom.

  2. An investigation of information seeking behaviour of Computer Science and Information Technology undergraduates: a qualitative approach

    OpenAIRE

    Saad, M. S. M.; Zainab, A. N.

    2009-01-01

    It is a common fallacy to assume that undergraduates are skilled in finding and evaluating resources for their various learning needs. Information professionals need to find out strategies and courses of action undertaken by undergraduate students in order to perhaps improve information literacy skills or user education programmes. This qualitative study uses the diary, emails interaction and in depth face to face interview approach involving 14 final year Computer Science and Information Tec...

  3. Integration of Information and Scientific Literacy: Promoting Literacy in Undergraduates

    Science.gov (United States)

    Wolbach, Kevin C.; Purzycki, Catherine B.; Bowman, Leslie A.; Agbada, Eva; Mostrom, Alison M.

    2010-01-01

    The Association of College and Research Libraries recommends incorporating information literacy (IL) skills across university and college curricula, for the goal of developing information literate graduates. Congruent with this goal, the Departments of Biological Sciences and Information Science developed an integrated IL and scientific literacy (SL) exercise for use in a first-year biology course. Students were provided the opportunity to access, retrieve, analyze, and evaluate primary scientific literature. By the completion of this project, student responses improved concerning knowledge and relevance of IL and SL skills. This project exposes students to IL and SL early in their undergraduate experience, preparing them for future academic advancement. PMID:21123700

  4. An Examination of Soft Skills Listed in Texas Electronic Job Postings and Undergraduate Business Information Systems Syllabi

    Science.gov (United States)

    Scott-Bracey, Pamela

    2011-01-01

    The purpose of this study was to explore the alignment of soft skills sought by current business IS entry-level employers in electronic job postings, with the integration of soft skills in undergraduate business information systems (IS) syllabi of public four-year universities in Texas. One hundred fifty job postings were extracted from two major…

  5. Extracting information from multiplex networks

    Science.gov (United States)

    Iacovacci, Jacopo; Bianconi, Ginestra

    2016-06-01

    Multiplex networks are generalized network structures that are able to describe networks in which the same set of nodes are connected by links that have different connotations. Multiplex networks are ubiquitous since they describe social, financial, engineering, and biological networks as well. Extending our ability to analyze complex networks to multiplex network structures increases greatly the level of information that is possible to extract from big data. For these reasons, characterizing the centrality of nodes in multiplex networks and finding new ways to solve challenging inference problems defined on multiplex networks are fundamental questions of network science. In this paper, we discuss the relevance of the Multiplex PageRank algorithm for measuring the centrality of nodes in multilayer networks and we characterize the utility of the recently introduced indicator function Θ ˜ S for describing their mesoscale organization and community structure. As working examples for studying these measures, we consider three multiplex network datasets coming for social science.

  6. The Determination of Vanillin Extract: An Analytical Undergraduate Experiment

    Science.gov (United States)

    Beckers, Jozef L.

    2005-01-01

    The student results are presented for the determination of vanillin in a vanilla extract as part of a problem-solving approach. The determination of the vanillin concentration in the Dutch product "Baukje vanilla extract" is described.

  7. Transductive Pattern Learning for Information Extraction

    National Research Council Canada - National Science Library

    McLernon, Brian; Kushmerick, Nicholas

    2006-01-01

    .... We present TPLEX, a semi-supervised learning algorithm for information extraction that can acquire extraction patterns from a small amount of labelled text in conjunction with a large amount of unlabelled text...

  8. Informal learning in SME majors for African American female undergraduates

    Directory of Open Access Journals (Sweden)

    Ezella McPherson

    2014-11-01

    Full Text Available This research investigates how eight undergraduate African American women in science, math, and engineering (SME majors accessed cultural capital and informal science learning opportunities from preschool to college. It uses the multiple case study methodological approach and cultural capital as the framework to better understand their opportunities to engage in free-choice science learning. The article demonstrates that African American women have access to cultural capital and informal science learning inside and outside of home and school environments in P-16 settings. In primary and secondary schools, African American girls acquire cultural capital and access to free-choice science learning in the home environment, museums, science fairs, student organizations and clubs. However, in high school African American female teenagers have fewer informal science learning opportunities like those such as those provided in primary school settings. In college, cultural capital is transmitted through informal science learning that consisted of involvement in student organizations, research projects, seminars, and conferences. These experiences contributed to their engagement and persistence in SME fields in K-16 settings. This research adds to cultural capital and informal science learning research by allowing scholars to better understand how African American women have opportunities to learn about the hidden curriculum of science through informal science settings throughout the educational pipeline.

  9. The Academic Library in the Life of Undergraduate: An Investigation of Undergraduates' Academic Information Behaviors in the Digital Age

    Science.gov (United States)

    Rozaklis, Lillian

    2012-01-01

    This dissertation research investigated undergraduates' academic information behaviors in the modern digital age to identify their perspective on the role of the academic library in their academic life. The research examined usage of a broad range of information sources and means to access, selection criteria, and obstacles encountered during…

  10. Library Learning: Undergraduate Students’ Informal, Self-directed, and Information Sharing Strategies

    Directory of Open Access Journals (Sweden)

    Jo Ann Murphy

    2014-04-01

    Full Text Available A focus group study of fourteen University of Saskatchewan second to fourth year humanities and social science undergraduate students was conducted in the fall of 2011. The purpose of the research was to determine how students learn about library resources and services. Findings indicate that the participants often use a variety of informal, self-directed and information sharing strategies. Seeking help from professors, peers, friends, and family members is a common practice. Convenience, familiarity, and perceived knowledge are key factors that determine who and how these students learn about the library. Formal instruction and seeking assistance from librarians did not resonate for participants as a typical approach for learning about the library. The author suggests that undergraduate students engage in informal learning and information sharing as many ‘adult learners’ do, similar to an employment setting. The library, within the formal educational structure, lends itself to a more informal learning context. The study concludes that libraries must continue to develop resources, services, and innovative programs that support students’ informal learning styles, while also providing formal instruction as part of the undergraduate curriculum ensuring students are exposed early on to core foundational skills that contribute to their success as informal and self-directed learners.

  11. Internet use by library and information science undergraduates in ...

    African Journals Online (AJOL)

    The study recommended that undergraduates should be trained to be ICT literate as well as be given increased access to internet facilities to enable them maximize the benefits of internet use. The study concluded that although there is a rise in the use of internet by undergraduates, they primarily use the internet for social ...

  12. Extracting critical information from group members' partial knowledge using the Searching Concealed Information Test.

    Science.gov (United States)

    Elaad, Eitan

    2016-12-01

    The Concealed Information Test (CIT) is a psychophysiological method designed to detect information that an individual cannot or does not wish to reveal. The present study used a version of the CIT, the Searching Concealed Information Test (SCIT), to extract information from partial information that participants possessed on a planned jailbreak. In the first experiment, 52 undergraduate students were randomly, but not equally, allocated into 15 different clusters of partial knowledge. In each, participants possessed knowledge about 2 of 6 critical items. Using a lenient decision rule, and a combined measure defined as the mean of 3 individual measures (skin conductance response amplitude, finger pulse, and respiration line length) 5 of the 6 critical items were identified. Experiment 2 extended the first experiment to unequal proportions of critical knowledge. Forty-six undergraduate students were randomly allocated into 25 clusters of partial knowledge in which 0, 1, 2, 3, or 6 pieces of information were known. Using the same lenient decision rule and the combined measure, all 6 items were identified. It was suggested that the Group SCIT is capable of assembling a comprehensive picture out of partial information possessed by informed innocent participants. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  13. Developing Oral and Written Communication Skills in Undergraduate Computer Science and Information Systems Curriculum

    Science.gov (United States)

    Kortsarts, Yana; Fischbach, Adam; Rufinus, Jeff; Utell, Janine M.; Yoon, Suk-Chung

    2010-01-01

    Developing and applying oral and written communication skills in the undergraduate computer science and computer information systems curriculum--one of the ABET accreditation requirements - is a very challenging and, at the same time, a rewarding task that provides various opportunities to enrich the undergraduate computer science and computer…

  14. Handling Internet-Based Health Information: Improving Health Information Web Site Literacy Among Undergraduate Nursing Students.

    Science.gov (United States)

    Wang, Weiwen; Sun, Ran; Mulvehill, Alice M; Gilson, Courtney C; Huang, Linda L

    2017-02-01

    Patient care problems arise when health care consumers and professionals find health information on the Internet because that information is often inaccurate. To mitigate this problem, nurses can develop Web literacy and share that skill with health care consumers. This study evaluated a Web-literacy intervention for undergraduate nursing students to find reliable Web-based health information. A pre- and postsurvey queried undergraduate nursing students in an informatics course; the intervention comprised lecture, in-class practice, and assignments about health Web site evaluation tools. Data were analyzed using Wilcoxon and ANOVA signed-rank tests. Pre-intervention, 75.9% of participants reported using Web sites to obtain health information. Postintervention, 87.9% displayed confidence in using an evaluation tool. Both the ability to critique health Web sites (p = .005) and confidence in finding reliable Internet-based health information (p = .058) increased. Web-literacy education guides nursing students to find, evaluate, and use reliable Web sites, which improves their ability to deliver safer patient care. [J Nurs Educ. 2017;56(2):110-114.]. Copyright 2017, SLACK Incorporated.

  15. DKIE: Open Source Information Extraction for Danish

    DEFF Research Database (Denmark)

    Derczynski, Leon; Field, Camilla Vilhelmsen; Bøgh, Kenneth Sejdenfaden

    2014-01-01

    Danish is a major Scandinavian language spoken daily by around six million people. However, it lacks a unified, open set of NLP tools. This demonstration will introduce DKIE, an extensible open-source toolkit for processing Danish text. We implement an information extraction architecture for Danish...

  16. The Academic and the Everyday: Investigating the Overlap in Mature Undergraduates' Information-Seeking Behaviors.

    Science.gov (United States)

    Given, Lisa M.

    2002-01-01

    This study explored information-seeking behavior of mature undergraduates at a Canadian university based on the study of everyday life information seeking (ELIS). Findings include the role of social and cultural capital, ways that everyday and academic contexts inform one another, and the importance of not separating the everyday from other life…

  17. Innovative Approaches to Information Literacy Instruction for Engineering Undergraduates at Drexel University

    Science.gov (United States)

    Roberts, Joshua C.; Bhatt, Jay

    2007-01-01

    As information professionals, engineering librarians have the primary responsibilities of providing access to engineering information resources and giving instruction in how to use these resources. In the case of undergraduate engineering students, this extends to building their information literacy skills, an important component in helping them…

  18. Unsupervised information extraction by text segmentation

    CERN Document Server

    Cortez, Eli

    2013-01-01

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

  19. Extracting the information backbone in online system.

    Science.gov (United States)

    Zhang, Qian-Ming; Zeng, An; Shang, Ming-Sheng

    2013-01-01

    Information overload is a serious problem in modern society and many solutions such as recommender system have been proposed to filter out irrelevant information. In the literature, researchers have been mainly dedicated to improving the recommendation performance (accuracy and diversity) of the algorithms while they have overlooked the influence of topology of the online user-object bipartite networks. In this paper, we find that some information provided by the bipartite networks is not only redundant but also misleading. With such "less can be more" feature, we design some algorithms to improve the recommendation performance by eliminating some links from the original networks. Moreover, we propose a hybrid method combining the time-aware and topology-aware link removal algorithms to extract the backbone which contains the essential information for the recommender systems. From the practical point of view, our method can improve the performance and reduce the computational time of the recommendation system, thus improving both of their effectiveness and efficiency.

  20. Information Retrieval Strategies of Millennial Undergraduate Students in Web and Library Database Searches

    Science.gov (United States)

    Porter, Brandi

    2009-01-01

    Millennial students make up a large portion of undergraduate students attending colleges and universities, and they have a variety of online resources available to them to complete academically related information searches, primarily Web based and library-based online information retrieval systems. The content, ease of use, and required search…

  1. Information Literacy in Mathematics Undergraduate Education: Where Does It Stand Today?

    Science.gov (United States)

    Bussmann, Jeffra Diane; Bond, Jeffrey D.

    2015-01-01

    The published literature on information literacy in mathematics is relatively sparse. This article explores the current state of information literacy initiatives in undergraduate mathematics. The authors survey academic librarians (n = 118) who liaise with mathematics departments in order to gain an understanding of their practices and attitudes…

  2. The Information Needs and Information-Seeking Behaviors of Community College and Lower-Division Undergraduate Students

    Science.gov (United States)

    Karas, Melissa; Green, Ravonne

    2007-01-01

    This article is about the information needs and information-seeking behaviors of community college and lower division undergraduates. The students in the studies were either four year lower division or community college students. The majority of the students studied were average college age students between eighteen and twenty two-years old. A few…

  3. Fitting It All In: Adapting a Green Chemistry Extraction Experiment for Inclusion in an Undergraduate Analytical Laboratory

    Science.gov (United States)

    Buckley, Heather L.; Beck, Annelise R.; Mulvihill, Martin J.; Douskey, Michelle C.

    2013-01-01

    Several principles of green chemistry are introduced through this experiment designed for use in the undergraduate analytical chemistry laboratory. An established experiment of liquid CO2 extraction of D-limonene has been adapted to include a quantitative analysis by gas chromatography. This facilitates drop-in incorporation of an exciting…

  4. "In Vitro" Synthesis and Activity of Reporter Proteins in an "Escherichia coli" S30 Extract System: An Undergraduate Experiment

    Science.gov (United States)

    Higgins, Pamela J.

    2005-01-01

    This undergraduate laboratory experiment integrates multiple techniques ("in vitro" synthesis, enzyme assays, Western blotting) to determine the production and detection sensitivity of two common reporter proteins (beta-galactosidase and luciferase) within an "Escherichia coli" S30 transcription/translation extract. Comparison of the data suggests…

  5. Extraction of information from unstructured text

    Energy Technology Data Exchange (ETDEWEB)

    Irwin, N.H.; DeLand, S.M.; Crowder, S.V.

    1995-11-01

    Extracting information from unstructured text has become an emphasis in recent years due to the large amount of text now electronically available. This status report describes the findings and work done by the end of the first year of a two-year LDRD. Requirements of the approach included that it model the information in a domain independent way. This means that it would differ from current systems by not relying on previously built domain knowledge and that it would do more than keyword identification. Three areas that are discussed and expected to contribute to a solution include (1) identifying key entities through document level profiling and preprocessing, (2) identifying relationships between entities through sentence level syntax, and (3) combining the first two with semantic knowledge about the terms.

  6. LAND COVER INFORMATION EXTRACTION USING LIDAR DATA

    Directory of Open Access Journals (Sweden)

    A. Shaker

    2012-07-01

    Full Text Available Light Detection and Ranging (LiDAR systems are used intensively in terrain surface modelling based on the range data determined by the LiDAR sensors. LiDAR sensors record the distance between the sensor and the targets (range data with a capability to record the strength of the backscatter energy reflected from the targets (intensity data. The LiDAR sensors use the near-infrared spectrum range which has high separability in the reflected energy from different targets. This characteristic is investigated to implement the LiDAR intensity data in land-cover classification. The goal of this paper is to investigate and evaluates the use of LiDAR data only (range and intensity data to extract land cover information. Different bands generated from the LiDAR data (Normal Heights, Intensity Texture, Surfaces Slopes, and PCA are combined with the original data to study the influence of including these layers on the classification accuracy. The Maximum likelihood classifier is used to conduct the classification process for the LiDAR Data as one of the best classification techniques from literature. A study area covering an urban district in Burnaby, British Colombia, Canada, is selected to test the different band combinations to extract four information classes: buildings, roads and parking areas, trees, and low vegetation (grass areas. The results show that an overall accuracy of more than 70% can be achieved using the intensity data, and other auxiliary data generated from the range and intensity data. Bands of the Principle Component Analysis (PCA are also created from the LiDAR original and auxiliary data. Similar overall accuracy of the results can be achieved using the four bands extracted from the Principal Component Analysis (PCA.

  7. Land Cover Information Extraction Using LIDAR Data

    Science.gov (United States)

    Shaker, A.; El-Ashmawy, N.

    2012-07-01

    Light Detection and Ranging (LiDAR) systems are used intensively in terrain surface modelling based on the range data determined by the LiDAR sensors. LiDAR sensors record the distance between the sensor and the targets (range data) with a capability to record the strength of the backscatter energy reflected from the targets (intensity data). The LiDAR sensors use the near-infrared spectrum range which has high separability in the reflected energy from different targets. This characteristic is investigated to implement the LiDAR intensity data in land-cover classification. The goal of this paper is to investigate and evaluates the use of LiDAR data only (range and intensity data) to extract land cover information. Different bands generated from the LiDAR data (Normal Heights, Intensity Texture, Surfaces Slopes, and PCA) are combined with the original data to study the influence of including these layers on the classification accuracy. The Maximum likelihood classifier is used to conduct the classification process for the LiDAR Data as one of the best classification techniques from literature. A study area covering an urban district in Burnaby, British Colombia, Canada, is selected to test the different band combinations to extract four information classes: buildings, roads and parking areas, trees, and low vegetation (grass) areas. The results show that an overall accuracy of more than 70% can be achieved using the intensity data, and other auxiliary data generated from the range and intensity data. Bands of the Principle Component Analysis (PCA) are also created from the LiDAR original and auxiliary data. Similar overall accuracy of the results can be achieved using the four bands extracted from the Principal Component Analysis (PCA).

  8. Extracting the information backbone in online system.

    Directory of Open Access Journals (Sweden)

    Qian-Ming Zhang

    Full Text Available Information overload is a serious problem in modern society and many solutions such as recommender system have been proposed to filter out irrelevant information. In the literature, researchers have been mainly dedicated to improving the recommendation performance (accuracy and diversity of the algorithms while they have overlooked the influence of topology of the online user-object bipartite networks. In this paper, we find that some information provided by the bipartite networks is not only redundant but also misleading. With such "less can be more" feature, we design some algorithms to improve the recommendation performance by eliminating some links from the original networks. Moreover, we propose a hybrid method combining the time-aware and topology-aware link removal algorithms to extract the backbone which contains the essential information for the recommender systems. From the practical point of view, our method can improve the performance and reduce the computational time of the recommendation system, thus improving both of their effectiveness and efficiency.

  9. Extracting the Information Backbone in Online System

    Science.gov (United States)

    Zhang, Qian-Ming; Zeng, An; Shang, Ming-Sheng

    2013-01-01

    Information overload is a serious problem in modern society and many solutions such as recommender system have been proposed to filter out irrelevant information. In the literature, researchers have been mainly dedicated to improving the recommendation performance (accuracy and diversity) of the algorithms while they have overlooked the influence of topology of the online user-object bipartite networks. In this paper, we find that some information provided by the bipartite networks is not only redundant but also misleading. With such “less can be more” feature, we design some algorithms to improve the recommendation performance by eliminating some links from the original networks. Moreover, we propose a hybrid method combining the time-aware and topology-aware link removal algorithms to extract the backbone which contains the essential information for the recommender systems. From the practical point of view, our method can improve the performance and reduce the computational time of the recommendation system, thus improving both of their effectiveness and efficiency. PMID:23690946

  10. [Information extraction methodology used in electronic medical records].

    Science.gov (United States)

    Chen, Yingying; Ye, Feng

    2011-01-01

    We try to use information extraction technology in some parts of the medical records and extract disease information to accumulate experience for extracting complete information from medical records. This paper attempts to use dictionary and rules to achieve the named entity recognition. Information extraction is based on shallow parsing and use pattern sentence matching method with the help of a 3 levels finite state automaton.

  11. Informal Learning in Science, Math, and Engineering Majors for African American Female Undergraduates

    Science.gov (United States)

    McPherson, Ezella

    2014-01-01

    This research investigates how eight undergraduate African American women in science, math, and engineering (SME) majors accessed cultural capital and informal science learning opportunities from preschool to college. It uses the multiple case study methodological approach and cultural capital as frameworks to better understand the participants'…

  12. Undergraduates Learn about Industrial-Organizational Psychology and Human Factors from an Informational Brochure

    Science.gov (United States)

    Kottke, Janet L.; Shoenfelt, Elizabeth L.; Stone, Nancy J.

    2017-01-01

    An informational brochure was created to assist students and faculty unfamiliar with the industrial-organizational (IO) and human factors (HF) disciplines. The brochure highlights the content of these two professions, presents advice for undergraduates to prepare for admission to IO and HF graduate programs, provides sources of IO and HF…

  13. Using an Interdisciplinary Approach to Teach Undergraduates Communication and Information Literacy Skills

    Science.gov (United States)

    Dinkelman, Andrea L.; Aune, Jeanine E.; Nonnecke, Gail R.

    2010-01-01

    For successful and productive careers, undergraduate students need effective communication and critical thinking skills; information literacy is a substantial component in the development of these skills. Students often perceive communication courses as distinct and separate from their chosen discipline. Faculty from the Departments of English and…

  14. Using Mobile Technology to Enhance Undergraduate Student Digital Information Literacy Skills: A Canadian Case Study

    Science.gov (United States)

    Hanbidge, Alice Schmidt; Sanderson, Nicole; Tin, Tony

    2015-01-01

    Learning essential information literacy skills through the use of mobile phones is an innovative m-learning pilot project that was collaboratively undertaken in a Canadian university college over the course of two academic terms by faculty and the library staff. The research pilot project involved ninety one undergraduate students in five…

  15. Millennial Undergraduate Research Strategies in Web and Library Information Retrieval Systems

    Science.gov (United States)

    Porter, Brandi

    2011-01-01

    This article summarizes the author's dissertation regarding search strategies of millennial undergraduate students in Web and library online information retrieval systems. Millennials bring a unique set of search characteristics and strategies to their research since they have never known a world without the Web. Through the use of search engines,…

  16. Promoting Information Systems Major to Undergraduate Students--A Comprehensive Investigation

    Science.gov (United States)

    Li, Lei; Zhang, Chi; Zheng, Guangzhi

    2014-01-01

    Weak enrollment growth has been a concern for many Information Systems (IS) programs in recent years although the IT/IS job market remains strong. Stimulating undergraduate students' interest to IS programs have been a challenge. In this paper, the researchers took a comprehensive approach to study how to effectively promote a Management…

  17. The Core Curricula of Information Systems Undergraduate Programs: A Survey of AACSB-Accredited Colleges in the United States

    Science.gov (United States)

    Yang, Samuel C.

    2016-01-01

    The author examines the present state of information systems undergraduate programs in the United States. He reviewed 516 institutions and collected data on 234 institutions offering information systems (IS) undergraduate programs. Of seven core courses required by the IS 2010 curriculum model, four are required by more than 50% of the programs,…

  18. Extraction of quantifiable information from complex systems

    CERN Document Server

    Dahmen, Wolfgang; Griebel, Michael; Hackbusch, Wolfgang; Ritter, Klaus; Schneider, Reinhold; Schwab, Christoph; Yserentant, Harry

    2014-01-01

    In April 2007, the  Deutsche Forschungsgemeinschaft (DFG) approved the  Priority Program 1324 “Mathematical Methods for Extracting Quantifiable Information from Complex Systems.” This volume presents a comprehensive overview of the most important results obtained over the course of the program.   Mathematical models of complex systems provide the foundation for further technological developments in science, engineering and computational finance.  Motivated by the trend toward steadily increasing computer power, ever more realistic models have been developed in recent years. These models have also become increasingly complex, and their numerical treatment poses serious challenges.   Recent developments in mathematics suggest that, in the long run, much more powerful numerical solution strategies could be derived if the interconnections between the different fields of research were systematically exploited at a conceptual level. Accordingly, a deeper understanding of the mathematical foundations as w...

  19. Information literacy of U.S. and Indian engineering undergraduates.

    Science.gov (United States)

    Taraban, Roman; Suar, Damodar; Oliver, Kristin

    2013-12-01

    To be competitive, contemporary engineers must be capable of both processing and communicating information effectively. Available research suggests that Indian students would be disadvantaged in information literacy in their language of instruction (English) compared to U.S. students because English is not Indian students' native language. Compared to U.S. students, Indian students (a) were predicted to apply practical text processing strategies to a greater extent than analytic strategies and (b) endorse the direct transmission of information over critical, interpretive analysis of information. Two validated scales measuring self-reported use of reading strategies and beliefs about interpreting and critiquing written information were administered to engineering students at an Indian Institute of Technology in their freshman to senior years. Neither prediction was supported: Indian students reported applying analytic strategies over pragmatic strategies and were more disposed to critically analyze information rather than accept it passively. Further, Indian students reported being more analytic and more reflective in their reading behaviors than U.S. engineering students. Additional data indicated that U.S. and Indian students' text-processing strategies and beliefs are associated with the texts that they read and their academic behaviors.

  20. Social Networking among Library and Information Science Undergraduate Students

    Science.gov (United States)

    Alakpodia, Onome Norah

    2015-01-01

    The purpose of this study was to examine social networking use among Library and Information Science students of the Delta State University, Abraka. In this study, students completed a questionnaire which assessed their familiarity with social networking sites, the purpose for which they use social networking site and their most preferred sites to…

  1. Information Seeking Behaviour of Undergraduates in a Nigerian ...

    African Journals Online (AJOL)

    goggle, print textbooks, library materials and social media as major research resources. Lack of computer skills, irregular electricity supply and lack of good search skills were found as factors affecting information seeking behaviour of the respondents. The following were recommended in line with the findings of the study: ...

  2. An Undergraduate Information Security Program: More than a Curriculum

    Science.gov (United States)

    Woodward, Belle; Imboden, Thomas; Martin, Nancy L.

    2013-01-01

    This paper describes the implementation of an information security program at a large Midwestern university. The initial work is briefly summarized and improvements that have occurred over time are described. Current activities and future plans are discussed. This paper offers insight and lessons learned for organizations that have or are…

  3. [A survey of information literacy for undergraduate students in the department of radiological technology].

    Science.gov (United States)

    Ohba, Hisateru; Matsutani, Hideya; Kashiwakura, Ikuo

    2009-01-20

    The purpose of this study was to clarify the information literacy of undergraduate students and problems in information education. An annual questionnaire survey was carried out by an anonymous method from 2003 to 2006. The survey was intended for third-year students in the Department of Radiological Technology. The questionnaire items were as follows: (1) ownership of a personal computer (PC), (2) usage purpose and frequency of PC operation, (3) operation frequency and mechanism of the Internet, and (4) IT terminology. The response rate was 100% in each year. The ratio of PC possession exceeded 80%. The ratio of students who replied "nearly every day" for the use of a PC and the Internet increased twofold and threefold in four years, respectively. More than 70% of students did not understand the mechanism of the Internet, and more than 60% of students did not know about TCP/IP. In the future, we need to consider information literacy education in undergraduate education.

  4. Respiratory Information Extraction from Electrocardiogram Signals

    KAUST Repository

    Amin, Gamal El Din Fathy

    2010-12-01

    The Electrocardiogram (ECG) is a tool measuring the electrical activity of the heart, and it is extensively used for diagnosis and monitoring of heart diseases. The ECG signal reflects not only the heart activity but also many other physiological processes. The respiratory activity is a prominent process that affects the ECG signal due to the close proximity of the heart and the lungs. In this thesis, several methods for the extraction of respiratory process information from the ECG signal are presented. These methods allow an estimation of the lung volume and the lung pressure from the ECG signal. The potential benefit of this is to eliminate the corresponding sensors used to measure the respiration activity. A reduction of the number of sensors connected to patients will increase patients’ comfort and reduce the costs associated with healthcare. As a further result, the efficiency of diagnosing respirational disorders will increase since the respiration activity can be monitored with a common, widely available method. The developed methods can also improve the detection of respirational disorders that occur while patients are sleeping. Such disorders are commonly diagnosed in sleeping laboratories where the patients are connected to a number of different sensors. Any reduction of these sensors will result in a more natural sleeping environment for the patients and hence a higher sensitivity of the diagnosis.

  5. A Survey of Undergraduate Student Perceptions and Use of Nutrition Information Labels in a University Dining Hall

    Science.gov (United States)

    Martinez, Olivia D.; Roberto, Christina A.; Kim, Jane H.; Schwartz, Marlene B.; Brownell, Kelly D.

    2013-01-01

    Objective: To examine undergraduate student perceptions and reported use of nutrition information labels in campus dining halls.Design: Paper surveys were administered to a convenience sample of undergraduates. Setting: This study was conducted at an urban United States university. Method: A survey about perceptions and use of nutrition…

  6. Utilization of Electronic Information Resources by Undergraduate Students of University of Ibadan: A Case Study of Social Sciences and Education

    Science.gov (United States)

    Owolabi, Sola; Idowu, Oluwafemi A.; Okocha, Foluke; Ogundare, Atinuke Omotayo

    2016-01-01

    The study evaluated utilization of electronic information resources by undergraduates in the Faculties of Education and the Social Sciences in University of Ibadan. The study adopted a descriptive survey design with a study population of 1872 undergraduates in the Faculties of Education and the Social Sciences in University of Ibadan, from which a…

  7. Updating the Undergraduate Curriculum of the Department of Information Management of Hacettepe University (2009-2011

    Directory of Open Access Journals (Sweden)

    Yaşar Tonta

    2013-11-01

    Full Text Available Concomitant with the heavy use of the Internet, the Web and social Networks, scientific, technological and social changes speed up nowadays, resulting in the production of massive data and information. Information that is mostly discovered, organized, retrieved and used through the networks needs to be managed effectively. The curricula of the departments of Information Management educating information professionals should mirror such scientific, technological and social developments. In this paper, we review the process of the revision of the undergraduate curriculum of the Department of Information Management of Hacettepe University. First, we introduce the Department briefly, then we review the studies carried out between 2009 and 2011 to update the curriculum along with the conceptual model of education for information management developed during this process. Finally, we provide brief information on double major and minor programs that have been developed mutually with the Departments of Economics and Computer Engineering.

  8. Information literacy in Health Sciences: a training proposal for undergraduate nursing students

    Directory of Open Access Journals (Sweden)

    César Manso Perea

    2015-06-01

    Full Text Available We present the first results about a research that aims to promote information skills in undergraduate nursing students through an educational proposal that integrates information literacy in the curriculum of the School of Nursing Red Cross in Madrid. In collaboration with the library information needs of students are evaluated and learning from a previous training experience taught from the university library is valued. The results show satisfaction with the skills acquired in previous training and the methodology followed; and reflect the need for training and information skills transversely distributed in different subjects of the degree. The training proposal reveals the importance of the acquisition of information skills by future professionals nurses and advantages of the involvement of information professionals in their teaching.

  9. Sample-based XPath Ranking for Web Information Extraction

    NARCIS (Netherlands)

    Jundt, Oliver; van Keulen, Maurice

    Web information extraction typically relies on a wrapper, i.e., program code or a configuration that specifies how to extract some information from web pages at a specific website. Manually creating and maintaining wrappers is a cumbersome and error-prone task. It may even be prohibitive as some

  10. Information Extraction Using Distant Supervision and Semantic Similarities

    Directory of Open Access Journals (Sweden)

    PARK, Y.

    2016-02-01

    Full Text Available Information extraction is one of the main research tasks in natural language processing and text mining that extracts useful information from unstructured sentences. Information extraction techniques include named entity recognition, relation extraction, and co-reference resolution. Among them, relation extraction refers to a task that extracts semantic relations between entities such as personal and geographic names in documents. This is an important research area, which is used in knowledge base construction and question and answering systems. This study presents relation extraction using a distant supervision learning technique among semi-supervised learning methods, which have been spotlighted in recent years to reduce human manual work and costs required for supervised learning. That is, this study proposes a method that can improve relation extraction by improving a distant supervision learning technique by applying a clustering method to create a learning corpus and semantic analysis for relation extraction that is difficult to identify using existing distant supervision. Through comparison experiments of various semantic similarity comparison methods, similarity calculation methods that are useful to relation extraction using distant supervision are searched, and a large number of accurate relation triples can be extracted using the proposed structural advantages and semantic similarity comparison.

  11. The Agent of extracting Internet Information with Lead Order

    Science.gov (United States)

    Mo, Zan; Huang, Chuliang; Liu, Aijun

    In order to carry out e-commerce better, advanced technologies to access business information are in need urgently. An agent is described to deal with the problems of extracting internet information that caused by the non-standard and skimble-scamble structure of Chinese websites. The agent designed includes three modules which respond to the process of extracting information separately. A method of HTTP tree and a kind of Lead algorithm is proposed to generate a lead order, with which the required web can be retrieved easily. How to transform the extracted information structuralized with natural language is also discussed.

  12. Compressive Information Extraction: A Dynamical Systems Approach

    Science.gov (United States)

    2016-01-24

    sparsely encoded in very large data streams. (a) Target tracking in an urban canyon; (b) and (c) sample frames showing contextually abnormal events: onset...tractable convex relaxation can be obtained by using the nuclear norm as a surrogate for rank, leading to a convex semi- definite program that can be...extraction to identify contextually abnormal se- quences (see section 2.2.3). Formally, the problem of interest can be stated as establishing whether a noisy

  13. Information extraction from multi-institutional radiology reports

    Science.gov (United States)

    Hassanpour, Saeed; Langlotz, Curtis P.

    2016-01-01

    Objectives 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. Material and methods 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

  14. ChemEx: information extraction system for chemical data curation.

    Science.gov (United States)

    Tharatipyakul, Atima; Numnark, Somrak; Wichadakul, Duangdao; Ingsriswang, Supawadee

    2012-01-01

    Manual chemical data curation from publications is error-prone, time consuming, and hard to maintain up-to-date data sets. Automatic information extraction can be used as a tool to reduce these problems. Since chemical structures usually described in images, information extraction needs to combine structure image recognition and text mining together. We have developed ChemEx, a chemical information extraction system. ChemEx processes both text and images in publications. Text annotator is able to extract compound, organism, and assay entities from text content while structure image recognition enables translation of chemical raster images to machine readable format. A user can view annotated text along with summarized information of compounds, organism that produces those compounds, and assay tests. ChemEx facilitates and speeds up chemical data curation by extracting compounds, organisms, and assays from a large collection of publications. The software and corpus can be downloaded from http://www.biotec.or.th/isl/ChemEx.

  15. The Information Seeking Behavior of Undergraduate Education Majors: Does Library Instruction Play a Role?

    Directory of Open Access Journals (Sweden)

    Jason Martin

    2008-12-01

    Full Text Available Objective – This study investigated the information seeking behavior of undergraduate majors to gain a better understanding of where they find their research information (academic vs. non-academic sources and to determine if library instruction had any impact on the types of sources used.Methods – The study used a convenience sample of 200 students currently enrolled as undergraduates at the University of Central Florida’s College of Education. A chi square test of association was conducted to determine if the proportion of undergraduate Education majors who use academic sources as compared to non-academic sources varied depending on whether the students had attended at least one library instruction session.Results – The majority of students surveyed find their research information on the freely available Web, even though they admit that academic sources are more credible. At an alpha level of .05, types of sources used for research were not statistically significantly related to whether the student attended library instruction sessions (Pearson χ2 (1, N = 200 = 1.612, p = .447, Cramer’s V = .090.Conclusion – These results are supported by other studies that indicate that today’s college students are using freely available Internet sites much more than library resources. Little to no association appears to exist between “one-shot” library instruction sessions and the sources used by students in their research. Serious consideration needs to be given to multiple library instruction sessions and to for-credit library courses over one-shot classes.

  16. Cause Information Extraction from Financial Articles Concerning Business Performance

    Science.gov (United States)

    Sakai, Hiroyuki; Masuyama, Shigeru

    We propose a method of extracting cause information from Japanese financial articles concerning business performance. Our method acquires cause informtion, e. g. “_??__??__??__??__??__??__??__??__??__??_ (zidousya no uriage ga koutyou: Sales of cars were good)”. Cause information is useful for investors in selecting companies to invest. Our method extracts cause information as a form of causal expression by using statistical information and initial clue expressions automatically. Our method can extract causal expressions without predetermined patterns or complex rules given by hand, and is expected to be applied to other tasks for acquiring phrases that have a particular meaning not limited to cause information. We compared our method with our previous one originally proposed for extracting phrases concerning traffic accident causes and experimental results showed that our new method outperforms our previous one.

  17. Access to Information for Learning by Using Assistive Technology for Undergraduate Students with Disabilities in Northern Thailand

    OpenAIRE

    Theeratorn Lersilp

    2016-01-01

    The purpose of this study was to survey access to information for learning on the types of assistive technology used by undergraduate students with disabilities in Northern Thailand. The types of assistive technology in this study included assistive devices and educational services. Data were collected from a questionnaire developed as a rating scale checklist that was completed by 140 undergraduate students with disabilities. Results of this study found that all types of educational services...

  18. Information Technology Practices Amongst Dental Undergraduate Students at a Private Dental Institution in India

    Directory of Open Access Journals (Sweden)

    S. Kumar

    2009-09-01

    Full Text Available Objective: In dental and medical education, information and communication technology (ICT has been playing an important role and its use is rapidly increasing. In developing countries, however, information technology is still only available to a minority of health professionals. The present study aimed to assess the level of computer use among dental undergraduate students pursuing their career at a private dental institution in India.Materials and Methods: The study population comprised dental undergraduate students from first to fourth year pursuing their career in a private dental institution of India. Informationtechnology practices were assessed using a questionnaire that consisted of 14 questions.Results: In total, 247 students with an overall response rate of 66% participated in the study. Only 58.3% of the study population mentioned that they had access to computers.Students from preclinical years reported to be competent in IT skills more frequently than the clinical year students (chi square test, P=0.007. Compared to women, men used computers more regularly both for academic activities (P=0.082 and personal use (P=0.006.Similarly, students of clinical years used computers more than preclinical students for both purposes (academic activities, P=0.045; personal use, P=0.124.Conclusion: The present study revealed that computer literacy of Indian dental undergraduate students was comparable with students of other countries whereas accessibility of IT sources was poor. Expansion of computer-assisted learning which requires careful strategic planning, resource sharing, staff incentives, active promotion of multidisciplinary working, and effective quality control should be implemented.

  19. Mining knowledge from text repositories using information extraction ...

    Indian Academy of Sciences (India)

    language documents. Thus, IE systems can extract structured information from unstructured text. One type of IE is named entity extraction and then creation of filled templates (Konchady. 2009). The named entity extractor identifies references to particular kinds of objects such as names of people, companies, and locations.

  20. Techniques for information extraction from compressed GPS traces : final report.

    Science.gov (United States)

    2015-12-31

    Developing techniques for extracting information requires a good understanding of methods used to compress the traces. Many techniques for compressing trace data : consisting of position (i.e., latitude/longitude) and time values have been developed....

  1. Mars Target Encyclopedia: Information Extraction for Planetary Science

    Science.gov (United States)

    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.

  2. Can we replace curation with information extraction software?

    Science.gov (United States)

    Karp, Peter D

    2016-01-01

    Can we use programs for automated or semi-automated information extraction from scientific texts as practical alternatives to professional curation? I show that error rates of current information extraction programs are too high to replace professional curation today. Furthermore, current IEP programs extract single narrow slivers of information, such as individual protein interactions; they cannot extract the large breadth of information extracted by professional curators for databases such as EcoCyc. They also cannot arbitrate among conflicting statements in the literature as curators can. Therefore, funding agencies should not hobble the curation efforts of existing databases on the assumption that a problem that has stymied Artificial Intelligence researchers for more than 60 years will be solved tomorrow. Semi-automated extraction techniques appear to have significantly more potential based on a review of recent tools that enhance curator productivity. But a full cost-benefit analysis for these tools is lacking. Without such analysis it is possible to expend significant effort developing information-extraction tools that automate small parts of the overall curation workflow without achieving a significant decrease in curation costs.Database URL. © The Author(s) 2016. Published by Oxford University Press.

  3. Moving Target Information Extraction Based on Single Satellite Image

    Directory of Open Access Journals (Sweden)

    ZHAO Shihu

    2015-03-01

    Full Text Available The spatial and time variant effects in high resolution satellite push broom imaging are analyzed. A spatial and time variant imaging model is established. A moving target information extraction method is proposed based on a single satellite remote sensing image. The experiment computes two airplanes' flying speed using ZY-3 multispectral image and proves the validity of spatial and time variant model and moving information extracting method.

  4. Addressing Information Proliferation: Applications of Information Extraction and Text Mining

    Science.gov (United States)

    Li, Jingjing

    2013-01-01

    The advent of the Internet and the ever-increasing capacity of storage media have made it easy to store, deliver, and share enormous volumes of data, leading to a proliferation of information on the Web, in online libraries, on news wires, and almost everywhere in our daily lives. Since our ability to process and absorb this information remains…

  5. Information extraction from multi-institutional radiology reports.

    Science.gov (United States)

    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

  6. Organizing the Library to Suit the Undergraduates' Information Gathering Behavior at the Tel-Hai Academic College in Israel

    Science.gov (United States)

    Chai, Iris

    2007-01-01

    The study examined the factors influencing information gathering behavior of undergraduates at Tel-Hai Academic College, so that library services can cope effectively with this behavior. Related to the findings, we changed our circulation desk to become a "one stop shop" for directions to all library information.

  7. Fine-grained information extraction from German transthoracic echocardiography reports.

    Science.gov (United States)

    Toepfer, Martin; Corovic, Hamo; Fette, Georg; Klügl, Peter; Störk, Stefan; Puppe, Frank

    2015-11-12

    Information extraction techniques that get structured representations out of unstructured data make a large amount of clinically relevant information about patients accessible for semantic applications. These methods typically rely on standardized terminologies that guide this process. Many languages and clinical domains, however, lack appropriate resources and tools, as well as evaluations of their applications, especially if detailed conceptualizations of the domain are required. For instance, German transthoracic echocardiography reports have not been targeted sufficiently before, despite of their importance for clinical trials. This work therefore aimed at development and evaluation of an information extraction component with a fine-grained terminology that enables to recognize almost all relevant information stated in German transthoracic echocardiography reports at the University Hospital of Würzburg. A domain expert validated and iteratively refined an automatically inferred base terminology. The terminology was used by an ontology-driven information extraction system that outputs attribute value pairs. The final component has been mapped to the central elements of a standardized terminology, and it has been evaluated according to documents with different layouts. The final system achieved state-of-the-art precision (micro average.996) and recall (micro average.961) on 100 test documents that represent more than 90 % of all reports. In particular, principal aspects as defined in a standardized external terminology were recognized with f 1=.989 (micro average) and f 1=.963 (macro average). As a result of keyword matching and restraint concept extraction, the system obtained high precision also on unstructured or exceptionally short documents, and documents with uncommon layout. The developed terminology and the proposed information extraction system allow to extract fine-grained information from German semi-structured transthoracic echocardiography reports

  8. Automatic information extraction from unstructured mammography reports using distributed semantics.

    Science.gov (United States)

    Gupta, Anupama; Banerjee, Imon; Rubin, Daniel L

    2018-02-01

    To date, the methods developed for automated extraction of information from radiology reports are mainly rule-based or dictionary-based, and, therefore, require substantial manual effort to build these systems. Recent efforts to develop automated systems for entity detection have been undertaken, but little work has been done to automatically extract relations and their associated named entities in narrative radiology reports that have comparable accuracy to rule-based methods. Our goal is to extract relations in a unsupervised way from radiology reports without specifying prior domain knowledge. We propose a hybrid approach for information extraction that combines dependency-based parse tree with distributed semantics for generating structured information frames about particular findings/abnormalities from the free-text mammography reports. The proposed IE system obtains a F 1 -score of 0.94 in terms of completeness of the content in the information frames, which outperforms a state-of-the-art rule-based system in this domain by a significant margin. The proposed system can be leveraged in a variety of applications, such as decision support and information retrieval, and may also easily scale to other radiology domains, since there is no need to tune the system with hand-crafted information extraction rules. Copyright © 2018 Elsevier Inc. All rights reserved.

  9. The study of the extraction of 3-D informations

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Min Ki [Korea Univ., Seoul (Korea); Kim, Jin Hun; Kim, Hui Yung; Lee, Gi Sik; Lee, Yung Shin [Sokyung Univ., Seoul (Korea)

    1998-04-01

    To extract three dimensional information in 3 dimensional real world two methods are applied (stereo image method, virtual reality environment method). 1. Stereo image method. From the paris of stereo image matching methods are applied to find the corresponding points in the two images. To solve the problem various methods are applied 2. Virtual reality environment method. As an alternate method to extract 3-D information, virtual reality environment is use. It is very useful to fine 6 DOF for a some given target points in 3-D space. We considered the accuracies and reliability of the 3-D informations. 34 figs., 4 tabs. (Author)

  10. Using Mobile Technology to Enhance Undergraduate Student Digital Information Literacy Skills: A Canadian Case Study

    Directory of Open Access Journals (Sweden)

    Alice Schmidt Hanbidge

    2015-08-01

    Full Text Available Learning essential information literacy skills through the use of mobile phones is an innovative mlearning pilot project that was collaboratively undertaken in a Canadian university college over the course of two academic terms by faculty and the library staff. The research pilot project involved ninety one undergraduate students in five different classes majoring in psychology, social work, education or social development studies in an attempt to determine the effectiveness of using mobile technology to enhance students’ information literacy skills and learning experiences. Pre and post-test measures, and survey questionnaires generated quantitative and qualitative data that was analyzed to determine the degree of changes in frequency of mobile device information literacy access and fluency in digital literacy skills. The article highlights the Mobile Information Literacy innovation and includes the development and design of the mobile lessons, interactive exercises, and its applications. The study’s main results and conclusions are also discussed. Additionally, the successes and challenges of the pilot to support anytime, anywhere student mobile information literacy eLearning training that engages mobile learners and enhances their learning experience are identified and critically reflected upon to improve the innovation for stage two of the project.

  11. Information Literacy in a Digital Era: Understanding the Impact of Mobile Information for Undergraduate Nursing Students.

    Science.gov (United States)

    Doyle, Glynda J; Furlong, Karen E; Secco, Loretta

    2016-01-01

    Recent entry-to-practice nursing informatics competencies for Registered Nurses in Canada mean nurse educators need educational strategies to promote student competency within the rapidly evolving informatics field. A collaborative research team from three Canadian nursing programs completed a mixed method survey to describe how nursing students used mobile nursing information support and the extent of this support for learning. The Mobile Information Support Evaluation Tool (MISET) assessed Usefulness/Helpfulness, Information Literacy Support, and Use of Evidence-Based Sources. The quantitative and qualitative data were analyzed to describe students' perspectives and the ways they used mobile resources in learning situations. Findings suggest nursing students mainly accessed mobile resources to support clinical learning, and specifically for task-oriented information such as drug medication or patient conditions/diagnoses. Researchers recommend a paradigm shift whereby educators emphasize information literacy in a way that supports evidence-based quality care.

  12. Concepts of Information Literacy and Information Literacy Standards among Undergraduate Students in Public and Private Universities in the State of Kuwait

    Science.gov (United States)

    Al-Issa, Reham E.

    2013-01-01

    The purpose of this qualitative study was to explore the experiences of undergraduate college students attending a public and a private university in the State of Kuwait to understand how they develop their understanding and valuing of information literacy and information literacy standards. Data from student and faculty interviews and student…

  13. Knowledge Dictionary for Information Extraction on the Arabic Text Data

    Directory of Open Access Journals (Sweden)

    Wahyu Jauharis Saputra

    2013-04-01

    Full Text Available Information extraction is an early stage of a process of textual data analysis. Information extraction is required to get information from textual data that can be used for process analysis, such as classification and categorization. A textual data is strongly influenced by the language. Arabic is gaining a significant attention in many studies because Arabic language is very different from others, and in contrast to other languages, tools and research on the Arabic language is still lacking. The information extracted using the knowledge dictionary is a concept of expression. A knowledge dictionary is usually constructed manually by an expert and this would take a long time and is specific to a problem only. This paper proposed a method for automatically building a knowledge dictionary. Dictionary knowledge is formed by classifying sentences having the same concept, assuming that they will have a high similarity value. The concept that has been extracted can be used as features for subsequent computational process such as classification or categorization. Dataset used in this paper was the Arabic text dataset. Extraction result was tested by using a decision tree classification engine and the highest precision value obtained was 71.0% while the highest recall value was 75.0%. 

  14. Medication information extraction with linguistic pattern matching and semantic rules.

    Science.gov (United States)

    Spasic, Irena; Sarafraz, Farzaneh; Keane, John A; Nenadic, Goran

    2010-01-01

    This study presents a system developed for the 2009 i2b2 Challenge in Natural Language Processing for Clinical Data, whose aim was to automatically extract certain information about medications used by a patient from his/her medical report. The aim was to extract the following information for each medication: name, dosage, mode/route, frequency, duration and reason. The system implements a rule-based methodology, which exploits typical morphological, lexical, syntactic and semantic features of the targeted information. These features were acquired from the training dataset and public resources such as the UMLS and relevant web pages. Information extracted by pattern matching was combined together using context-sensitive heuristic rules. The system was applied to a set of 547 previously unseen discharge summaries, and the extracted information was evaluated against a manually prepared gold standard consisting of 251 documents. The overall ranking of the participating teams was obtained using the micro-averaged F-measure as the primary evaluation metric. The implemented method achieved the micro-averaged F-measure of 81% (with 86% precision and 77% recall), which ranked this system third in the challenge. The significance tests revealed the system's performance to be not significantly different from that of the second ranked system. Relative to other systems, this system achieved the best F-measure for the extraction of duration (53%) and reason (46%). Based on the F-measure, the performance achieved (81%) was in line with the initial agreement between human annotators (82%), indicating that such a system may greatly facilitate the process of extracting relevant information from medical records by providing a solid basis for a manual review process.

  15. Ontology-Based Information Extraction for Business Intelligence

    Science.gov (United States)

    Saggion, Horacio; Funk, Adam; Maynard, Diana; Bontcheva, Kalina

    Business Intelligence (BI) requires the acquisition and aggregation of key pieces of knowledge from multiple sources in order to provide valuable information to customers or feed statistical BI models and tools. The massive amount of information available to business analysts makes information extraction and other natural language processing tools key enablers for the acquisition and use of that semantic information. We describe the application of ontology-based extraction and merging in the context of a practical e-business application for the EU MUSING Project where the goal is to gather international company intelligence and country/region information. The results of our experiments so far are very promising and we are now in the process of building a complete end-to-end solution.

  16. Integrating Research-Informed Teaching within an Undergraduate Level 4 (Year 1) Diagnostic Radiography Curriculum: A Pilot Study

    Science.gov (United States)

    Higgins, Robert; Hogg, Peter; Robinson, Leslie

    2013-01-01

    This article discusses the piloting and evaluation of the Research-informed Teaching experience (RiTe) project. The aim of RiTe was to link teaching and learning with research within an undergraduate diagnostic radiography curriculum. A preliminary pilot study of RiTe was undertaken with a group of level 4 (year 1) volunteer BSc (Hons) diagnostic…

  17. Promoting professional identity, motivation, and persistence: Benefits of an informal mentoring program for female undergraduate students.

    Directory of Open Access Journals (Sweden)

    Paul R Hernandez

    Full Text Available Women are underrepresented in a number of science, technology, engineering, and mathematics (STEM disciplines. Limited diversity in the development of the STEM workforce has negative implications for scientific innovation, creativity, and social relevance. The current study reports the first-year results of the PROmoting Geoscience Research, Education, and SuccesS (PROGRESS program, a novel theory-driven informal mentoring program aimed at supporting first- and second-year female STEM majors. Using a prospective, longitudinal, multi-site (i.e., 7 universities in Colorado/Wyoming Front Range & Carolinas, propensity score matched design, we compare mentoring and persistence outcomes for women in and out of PROGRESS (N = 116. Women in PROGRESS attended an off-site weekend workshop and gained access to a network of volunteer female scientific mentors from on- and off-campus (i.e., university faculty, graduate students, and outside scientific professionals. The results indicate that women in PROGRESS had larger networks of developmental mentoring relationships and were more likely to be mentored by faculty members and peers than matched controls. Mentoring support from a faculty member benefited early-undergraduate women by strengthening their scientific identity and their interest in earth and environmental science career pathways. Further, support from a faculty mentor had a positive indirect impact on women's scientific persistence intentions, through strengthened scientific identity development. These results imply that first- and second- year undergraduate women's mentoring support networks can be enhanced through provision of protégé training and access to more senior women in the sciences willing to provide mentoring support.

  18. Promoting professional identity, motivation, and persistence: Benefits of an informal mentoring program for female undergraduate students.

    Science.gov (United States)

    Hernandez, Paul R; Bloodhart, Brittany; Barnes, Rebecca T; Adams, Amanda S; Clinton, Sandra M; Pollack, Ilana; Godfrey, Elaine; Burt, Melissa; Fischer, Emily V

    2017-01-01

    Women are underrepresented in a number of science, technology, engineering, and mathematics (STEM) disciplines. Limited diversity in the development of the STEM workforce has negative implications for scientific innovation, creativity, and social relevance. The current study reports the first-year results of the PROmoting Geoscience Research, Education, and SuccesS (PROGRESS) program, a novel theory-driven informal mentoring program aimed at supporting first- and second-year female STEM majors. Using a prospective, longitudinal, multi-site (i.e., 7 universities in Colorado/Wyoming Front Range & Carolinas), propensity score matched design, we compare mentoring and persistence outcomes for women in and out of PROGRESS (N = 116). Women in PROGRESS attended an off-site weekend workshop and gained access to a network of volunteer female scientific mentors from on- and off-campus (i.e., university faculty, graduate students, and outside scientific professionals). The results indicate that women in PROGRESS had larger networks of developmental mentoring relationships and were more likely to be mentored by faculty members and peers than matched controls. Mentoring support from a faculty member benefited early-undergraduate women by strengthening their scientific identity and their interest in earth and environmental science career pathways. Further, support from a faculty mentor had a positive indirect impact on women's scientific persistence intentions, through strengthened scientific identity development. These results imply that first- and second- year undergraduate women's mentoring support networks can be enhanced through provision of protégé training and access to more senior women in the sciences willing to provide mentoring support.

  19. Evaluation of information ethical issues among undergraduate students: An exploratory study

    Directory of Open Access Journals (Sweden)

    Liezel Cilliers

    2017-01-01

    Full Text Available Background: Higher education is increasingly making use of information and communication technology (ICT to deliver educational services. Young adults at higher educational institutions are also making use of ICTs in their daily lives but are not taught how to do so ethically. Software piracy, plagiarism and cheating, while making use of ICTs, are the most common ethical dilemmas that will face digital natives. Objective: The purpose of this article was to investigate information ethics of young adults at a higher education institution in the Eastern Cape Province of South Africa. Method: This study made use of a positive, quantitative survey approach. A closed-ended questionnaire was distributed to a group of 312 first-year students, who had registered for a computer literacy class. A response rate of 69.2% was recorded, resulting in 216 students participating in the study. The results were analysed using descriptive and inferential (t-tests statistics in SPSS V22. Results: The results indicated that plagiarism is a problem among first-year students, and elements of authorship should be included in the curriculum. Students understood what software piracy was but did not think it was wrong to copy software from the Internet. Finally, the students understood that cheating, while making use of technology, is wrong and should be avoided. Conclusion: The recommendation of the study then is that information ethics must be included in the undergraduate curriculum in order to prepare students to deal with these ethical problems.

  20. PDF text classification to leverage information extraction from publication reports.

    Science.gov (United States)

    Bui, Duy Duc An; Del Fiol, Guilherme; Jonnalagadda, Siddhartha

    2016-06-01

    Data extraction from original study reports is a time-consuming, error-prone process in systematic review development. Information extraction (IE) systems have the potential to assist humans in the extraction task, however majority of IE systems were not designed to work on Portable Document Format (PDF) document, an important and common extraction source for systematic review. In a PDF document, narrative content is often mixed with publication metadata or semi-structured text, which add challenges to the underlining natural language processing algorithm. Our goal is to categorize PDF texts for strategic use by IE systems. We used an open-source tool to extract raw texts from a PDF document and developed a text classification algorithm that follows a multi-pass sieve framework to automatically classify PDF text snippets (for brevity, texts) into TITLE, ABSTRACT, BODYTEXT, SEMISTRUCTURE, and METADATA categories. To validate the algorithm, we developed a gold standard of PDF reports that were included in the development of previous systematic reviews by the Cochrane Collaboration. In a two-step procedure, we evaluated (1) classification performance, and compared it with machine learning classifier, and (2) the effects of the algorithm on an IE system that extracts clinical outcome mentions. The multi-pass sieve algorithm achieved an accuracy of 92.6%, which was 9.7% (pmachine learning classifier that used a logistic regression algorithm. F-measure improvements were observed in the classification of TITLE (+15.6%), ABSTRACT (+54.2%), BODYTEXT (+3.7%), SEMISTRUCTURE (+34%), and MEDADATA (+14.2%). In addition, use of the algorithm to filter semi-structured texts and publication metadata improved performance of the outcome extraction system (F-measure +4.1%, p=0.002). It also reduced of number of sentences to be processed by 44.9% (pclassification is an important prerequisite step to leverage information extraction from PDF documents. Copyright © 2016 Elsevier Inc. All

  1. Automated extraction of radiation dose information for CT examinations.

    Science.gov (United States)

    Cook, Tessa S; Zimmerman, Stefan; Maidment, Andrew D A; Kim, Woojin; Boonn, William W

    2010-11-01

    Exposure to radiation as a result of medical imaging is currently in the spotlight, receiving attention from Congress as well as the lay press. Although scanner manufacturers are moving toward including effective dose information in the Digital Imaging and Communications in Medicine headers of imaging studies, there is a vast repository of retrospective CT data at every imaging center that stores dose information in an image-based dose sheet. As such, it is difficult for imaging centers to participate in the ACR's Dose Index Registry. The authors have designed an automated extraction system to query their PACS archive and parse CT examinations to extract the dose information stored in each dose sheet. First, an open-source optical character recognition program processes each dose sheet and converts the information to American Standard Code for Information Interchange (ASCII) text. Each text file is parsed, and radiation dose information is extracted and stored in a database which can be queried using an existing pathology and radiology enterprise search tool. Using this automated extraction pipeline, it is possible to perform dose analysis on the >800,000 CT examinations in the PACS archive and generate dose reports for all of these patients. It is also possible to more effectively educate technologists, radiologists, and referring physicians about exposure to radiation from CT by generating report cards for interpreted and performed studies. The automated extraction pipeline enables compliance with the ACR's reporting guidelines and greater awareness of radiation dose to patients, thus resulting in improved patient care and management. Copyright © 2010 American College of Radiology. Published by Elsevier Inc. All rights reserved.

  2. Information Literacy Course Yields Mixed Effects on Undergraduate Acceptance of the University Library Portal Heather Coates

    Directory of Open Access Journals (Sweden)

    Heather Coates

    2016-04-01

    Full Text Available Objective – To determine the effects over time of a 3-credit semester-long undergraduate information literacy course on student perception and use of the library web portal. Design – Mixed methods, including a longitudinal survey and in-person interviews. Setting – Information literacy course at a comprehensive public research institution in the northeastern United States of America. Subjects – Undergraduates at all levels enrolled in a 3-credit general elective information literacy course titled “The Internet and Information Access.” Methods – A longitudinal survey was conducted by administering a questionnaire to students at three different points in time: prior to instruction, near the end of the course (after receiving instruction on the library portal, and three months after the course ended, during the academic year 2011-2012. The survey was created by borrowing questions from several existing instruments. It was tested and refined through pre-pilot and pilot studies conducted in the 2010-2011 academic year, for which results are reported. Participation was voluntary, though students were incentivized to participate through extra credit for completing the pre- and post-instruction questionnaire, and a monetary reward for completing the follow-up questionnaire. Interviews were conducted with a subset of 14 participants at a fourth point in time. Main Results – 239 of the 376 (63.6% students enrolled in the course completed the pre- and post-instruction questionnaire. Fewer than half of those participants (111 or 30% of students enrolled completed the follow-up questionnaire. Participants were primarily sophomores and juniors (32% each, with approximately one-quarter (26% freshman, and only 10% seniors. Student majors were concentrated in the social sciences (62%, with fewer students from science and technology (13%, business (13%, and the humanities (9%. The 14 participants interviewed were drawn from both high- and low

  3. Spatiotemporal Information Extraction from a Historic Expedition Gazetteer

    Directory of Open Access Journals (Sweden)

    Mafkereseb Kassahun Bekele

    2016-11-01

    Full Text Available Historic expeditions are events that are flavored by exploratory, scientific, military or geographic characteristics. Such events are often documented in literature, journey notes or personal diaries. A typical historic expedition involves multiple site visits and their descriptions contain spatiotemporal and attributive contexts. Expeditions involve movements in space that can be represented by triplet features (location, time and description. However, such features are implicit and innate parts of textual documents. Extracting the geospatial information from these documents requires understanding the contextualized entities in the text. To this end, we developed a semi-automated framework that has multiple Information Retrieval and Natural Language Processing components to extract the spatiotemporal information from a two-volume historic expedition gazetteer. Our framework has three basic components, namely, the Text Preprocessor, the Gazetteer Processing Machine and the JAPE (Java Annotation Pattern Engine Transducer. We used the Brazilian Ornithological Gazetteer as an experimental dataset and extracted the spatial and temporal entities from entries that refer to three expeditioners’ site visits (which took place between 1910 and 1926 and mapped the trajectory of each expedition using the extracted information. Finally, one of the mapped trajectories was manually compared with a historical reference map of that expedition to assess the reliability of our framework.

  4. Baseline information on using fermented crude extracts from ...

    African Journals Online (AJOL)

    Bio-pesticides, when used as a post-planting pesticide, are limited by their potential ability to suppress the pest and their degree of phytotoxicity. Baseline information on the suitability of fermented crude extracts (FCE) of Cucumis africanus fruit as a post-planting bio-nematicide was determined on Meloidogyne incognita ...

  5. An analysis of the information technology discipline in archival sciences undergraduate courses of universities from the south of Brazil

    Directory of Open Access Journals (Sweden)

    Nelma Camêlo Araujo

    2009-10-01

    Full Text Available The present article is part of a research conducted at universities of the south of Brazil that offers disciplines of Information Technology in Archival Sciences undergraduate courses. The research objective to identify through the educational project of these courses the subjects which have emphasis in the Information Technology, as well as to identify the teachers’ perception about the condition of these subjects in enabling the student for the challenges of the work market

  6. Rapid automatic keyword extraction for information retrieval and analysis

    Science.gov (United States)

    Rose, Stuart J [Richland, WA; Cowley,; E, Wendy [Richland, WA; Crow, Vernon L [Richland, WA; Cramer, Nicholas O [Richland, WA

    2012-03-06

    Methods and systems for rapid automatic keyword extraction for information retrieval and analysis. Embodiments can include parsing words in an individual document by delimiters, stop words, or both in order to identify candidate keywords. Word scores for each word within the candidate keywords are then calculated based on a function of co-occurrence degree, co-occurrence frequency, or both. Based on a function of the word scores for words within the candidate keyword, a keyword score is calculated for each of the candidate keywords. A portion of the candidate keywords are then extracted as keywords based, at least in part, on the candidate keywords having the highest keyword scores.

  7. Extracting Semantic Information from Visual Data: A Survey

    Directory of Open Access Journals (Sweden)

    Qiang Liu

    2016-03-01

    Full Text Available The traditional environment maps built by mobile robots include both metric ones and topological ones. These maps are navigation-oriented and not adequate for service robots to interact with or serve human users who normally rely on the conceptual knowledge or semantic contents of the environment. Therefore, the construction of semantic maps becomes necessary for building an effective human-robot interface for service robots. This paper reviews recent research and development in the field of visual-based semantic mapping. The main focus is placed on how to extract semantic information from visual data in terms of feature extraction, object/place recognition and semantic representation methods.

  8. Source-specific Informative Prior for i-Vector Extraction

    DEFF Research Database (Denmark)

    Shepstone, Sven Ewan; Lee, Kong Aik; Li, Haizhou

    2015-01-01

    An i-vector is a low-dimensional fixed-length representation of a variable-length speech utterance, and is defined as the posterior mean of a latent variable conditioned on the observed feature sequence of an utterance. The assumption is that the prior for the latent variable is non......-informative, since for homogeneous datasets there is no gain in generality in using an informative prior. This work shows that extracting i-vectors for a heterogeneous dataset, containing speech samples recorded from multiple sources, using informative priors instead is applicable, and leads to favorable results...

  9. The Southern California Earthquake Center/Undergraduate Studies in Earthquake Information Technology (SCEC/UseIT) Internship Program

    Science.gov (United States)

    Perry, S.; Jordan, T.

    2006-12-01

    Our undergraduate research program, SCEC/UseIT, an NSF Research Experience for Undergraduates site, provides software for earthquake researchers and educators, movies for outreach, and ways to strengthen the technical career pipeline. SCEC/UseIT motivates diverse undergraduates towards science and engineering careers through team-based research in the exciting field of earthquake information technology. UseIT provides the cross-training in computer science/information technology (CS/IT) and geoscience needed to make fundamental progress in earthquake system science. Our high and increasing participation of women and minority students is crucial given the nation"s precipitous enrollment declines in CS/IT undergraduate degree programs, especially among women. UseIT also casts a "wider, farther" recruitment net that targets scholars interested in creative work but not traditionally attracted to summer science internships. Since 2002, SCEC/UseIT has challenged 79 students in three dozen majors from as many schools with difficult, real-world problems that require collaborative, interdisciplinary solutions. Interns design and engineer open-source software, creating increasingly sophisticated visualization tools (see "SCEC-VDO," session IN11), which are employed by SCEC researchers, in new curricula at the University of Southern California, and by outreach specialists who make animated movies for the public and the media. SCEC-VDO would be a valuable tool for research-oriented professional development programs.

  10. Elucidating Bioethics with Undergraduates.

    Science.gov (United States)

    Hoskins, Betty B.; Shannon, Thomas A.

    1977-01-01

    Discusses the importance of developing bioethics programs for undergraduate students. Two aspects are considered: (1) current areas of concern and sources of bibliographic information; and (2) problems encountered in undergraduate projects. A list of references is provided. (HM)

  11. Advanced applications of natural language processing for performing information extraction

    CERN Document Server

    Rodrigues, Mário

    2015-01-01

    This book explains how can be created information extraction (IE) applications that are able to tap the vast amount of relevant information available in natural language sources: Internet pages, official documents such as laws and regulations, books and newspapers, and social web. Readers are introduced to the problem of IE and its current challenges and limitations, supported with examples. The book discusses the need to fill the gap between documents, data, and people, and provides a broad overview of the technology supporting IE. The authors present a generic architecture for developing systems that are able to learn how to extract relevant information from natural language documents, and illustrate how to implement working systems using state-of-the-art and freely available software tools. The book also discusses concrete applications illustrating IE uses.   ·         Provides an overview of state-of-the-art technology in information extraction (IE), discussing achievements and limitations for t...

  12. Automatically extracting information needs from complex clinical questions.

    Science.gov (United States)

    Cao, Yong-gang; Cimino, James J; Ely, John; Yu, Hong

    2010-12-01

    Clinicians pose complex clinical questions when seeing patients, and identifying the answers to those questions in a timely manner helps improve the quality of patient care. We report here on two natural language processing models, namely, automatic topic assignment and keyword identification, that together automatically and effectively extract information needs from ad hoc clinical questions. Our study is motivated in the context of developing the larger clinical question answering system AskHERMES (Help clinicians to Extract and aRrticulate Multimedia information for answering clinical quEstionS). We developed supervised machine-learning systems to automatically assign predefined general categories (e.g. etiology, procedure, and diagnosis) to a question. We also explored both supervised and unsupervised systems to automatically identify keywords that capture the main content of the question. We evaluated our systems on 4654 annotated clinical questions that were collected in practice. We achieved an F1 score of 76.0% for the task of general topic classification and 58.0% for keyword extraction. Our systems have been implemented into the larger question answering system AskHERMES. Our error analyses suggested that inconsistent annotation in our training data have hurt both question analysis tasks. Our systems, available at http://www.askhermes.org, can automatically extract information needs from both short (the number of word tokens 20), and from both well-structured and ill-formed questions. We speculate that the performance of general topic classification and keyword extraction can be further improved if consistently annotated data are made available. Copyright © 2010 Elsevier Inc. All rights reserved.

  13. Reference Information Extraction and Processing Using Random Conditional Fields

    Directory of Open Access Journals (Sweden)

    Tudor Groza

    2012-06-01

    Full Text Available Fostering both the creation and the linking of data with the scope of supporting the growth of the Linked Data Web requires us to improve the acquisition and extraction mechanisms of the underlying semantic metadata. This is particularly important for the scientific publishing domain, where currently most of the datasets are being created in an author-driven, manual manner. In addition, such datasets capture only fragments of the complete metadata, omitting usually, important elements such as the references, although they represent valuable information. In this paper we present an approach that aims at dealing with this aspect of extraction and processing of reference information. The experimental evaluation shows that, currently, our solution handles very well diverse types of reference format, thus making it usable for, or adaptable to, any area of scientific publishing.

  14. Real-Time Information Extraction from Big Data

    Science.gov (United States)

    2015-10-01

    from big data is enormously complex and extremely challenging. We argue that data movement is of crucial importance in big data analytics , and show...important communications hardware and networks underlying efficient big data analytics , which is often performed by Graph Processors capable of consuming...the connecting edges of a graph. Therefore, a holistically optimized Graph Processor (HOGP)3 for real-time information extraction from big data

  15. Automated Extraction of Family History Information from Clinical Notes

    Science.gov (United States)

    Bill, Robert; Pakhomov, Serguei; Chen, Elizabeth S.; Winden, Tamara J.; Carter, Elizabeth W.; Melton, Genevieve B.

    2014-01-01

    Despite increased functionality for obtaining family history in a structured format within electronic health record systems, clinical notes often still contain this information. We developed and evaluated an Unstructured Information Management Application (UIMA)-based natural language processing (NLP) module for automated extraction of family history information with functionality for identifying statements, observations (e.g., disease or procedure), relative or side of family with attributes (i.e., vital status, age of diagnosis, certainty, and negation), and predication (“indicator phrases”), the latter of which was used to establish relationships between observations and family member. The family history NLP system demonstrated F-scores of 66.9, 92.4, 82.9, 57.3, 97.7, and 61.9 for detection of family history statements, family member identification, observation identification, negation identification, vital status, and overall extraction of the predications between family members and observations, respectively. While the system performed well for detection of family history statements and predication constituents, further work is needed to improve extraction of certainty and temporal modifications. PMID:25954443

  16. Incorporation of medical informatics and information technology as core components of undergraduate medical education - time for change!

    Science.gov (United States)

    Otto, Anthony; Kushniruk, Andre

    2009-01-01

    It is generally accepted that Information Technology (IT) is a highly desirable and a very necessary ingredient of modern health care. Review of available literature reveals a paucity of medical informatics and information technology courses in undergraduate medical curricula and a lack of research to assess the effectiveness of medical informatics in undergraduate medical education. The need for such initiatives is discussed and a pilot project is described that evaluated the effectiveness of education in the use of Electronic Medical Record (EMR) applications. Educational activities, for example, could be medical students conducting virtual medical encounters or interacting with EMR applications. An EMR application, which was used in several related projects, has been adapted to the educational environment: standardized patient records can be created and cloned so that individual students can interact with a "standard" patient and alter the patient's data.

  17. Effective Methods for Teaching Information Literacy Skills to Undergraduate Students: A Systematic Review and Meta-Analysis

    Directory of Open Access Journals (Sweden)

    Denise Koufogiannakis

    2006-09-01

    Full Text Available Objective The objective of this systematic review was to assess which library instruction methods are most effective for improving the information skills of students at an introductory, undergraduate level, using cognitive outcomes (measuring changes in knowledge. The study sought to address the following questions: 1 What is the overall state of research on this topic? 2 Which teaching methods are more effective? Methods This project utilised systematic review methodology. Researchers searched fifteen databases and retrieved 4,356 potentially relevant citations. They reviewed the titles and abstracts for relevance, and of those, 257 complete articles were considered in-depth using a predetermined inclusion/exclusion form. There were 122 unique studies that met the inclusion criteria and were subjected to an extensive data extraction and critical appraisal process. Of these studies, 55 met author‐defined quality criteria to provide information on the effectiveness of different teaching methods. From this review there was a final group of 16 studies with sufficient information to enable meta-analyses and calculations of standardized mean differences. Results The overwhelming majority of studies were conducted in the United States (88%. Experimental or quasi-experimental research methods were used in 79 studies (65%. Teaching methods used in the studies varied, with the majority focused on traditional methods of teaching, followed by computer assisted instruction (CAI, and self‐directed independent learning (SDIL. Studies measured outcomes that correlated with Bloom’s lower levels of learning (‘Remember’, ‘Understand’, ‘Apply’. Sixteen studies compared traditional instruction (TI with no instruction, and twelve of those found a positive outcome. Meta-analysis of the data from 4 of these studies agreed with the positive conclusions favouring TI. Fourteen studies compared CAI with traditional instruction (TI, and 9 of these showed

  18. Transliteration normalization for Information Extraction and Machine Translation

    Directory of Open Access Journals (Sweden)

    Yuval Marton

    2014-12-01

    Full Text Available Foreign name transliterations typically include multiple spelling variants. These variants cause data sparseness and inconsistency problems, increase the Out-of-Vocabulary (OOV rate, and present challenges for Machine Translation, Information Extraction and other natural language processing (NLP tasks. This work aims to identify and cluster name spelling variants using a Statistical Machine Translation method: word alignment. The variants are identified by being aligned to the same “pivot” name in another language (the source-language in Machine Translation settings. Based on word-to-word translation and transliteration probabilities, as well as the string edit distance metric, names with similar spellings in the target language are clustered and then normalized to a canonical form. With this approach, tens of thousands of high-precision name transliteration spelling variants are extracted from sentence-aligned bilingual corpora in Arabic and English (in both languages. When these normalized name spelling variants are applied to Information Extraction tasks, improvements over strong baseline systems are observed. When applied to Machine Translation tasks, a large improvement potential is shown.

  19. Incorporating GPS geodetic data into the undergraduate classroom to improve data and information literacy

    Science.gov (United States)

    Jansma, P. E.; Mattioli, G. S.

    2002-12-01

    As part of an NSF-funded project, we are incorporating Global Positioning System (GPS) geodesy into the classroom to improve data and information literacy among undergraduate students. Our objectives are: to introduce statistical concepts essential for the interpretation of large datasets; to promote communication skills; to enhance critical thinking; and to build teamwork. GPS geodesy is ideal for illustrating data literacy concepts. Data precision and accuracy depend upon several factors, including type of equipment, environmental conditions, length of occupations, monument design, site location, configuration of the geodetic network, and processing strategies. All of these can be varied, allowing the students to learn the trade-offs among cost, time, and quality and to determine the most efficient methodology for specific problems. In addition, precision, accuracy, and errors govern the interpretations that can be made and the potential to distinguish among competing models. Our focus is a semester-long course that uses GPS geodesy in real-world applications and also requires integration of GPS data into oral presentations and written reports. Students work in teams on "cases" that pose hypotheses for testing. The cases are derived from our on-going research projects and take advantage of on-line continuous GPS (CGPS) data as well as our archived campaign data. The case studies are: 1) Microplate tectonics in the northeastern Caribbean; 2) Inflation/deflation cycles of the Soufriere Hills volcano, Montserrat; and 3) Contribution of monument instability to the overall error in geodetic data from the New Madrid Seismic Zone. All course materials will be on-line and available for the community.

  20. Knowledge discovery: Extracting usable information from large amounts of data

    Energy Technology Data Exchange (ETDEWEB)

    Whiteson, R.

    1998-12-31

    The threat of nuclear weapons proliferation is a problem of world wide concern. Safeguards are the key to nuclear nonproliferation and data is the key to safeguards. The safeguards community has access to a huge and steadily growing volume of data. The advantages of this data rich environment are obvious, there is a great deal of information which can be utilized. The challenge is to effectively apply proven and developing technologies to find and extract usable information from that data. That information must then be assessed and evaluated to produce the knowledge needed for crucial decision making. Efficient and effective analysis of safeguards data will depend on utilizing technologies to interpret the large, heterogeneous data sets that are available from diverse sources. With an order-of-magnitude increase in the amount of data from a wide variety of technical, textual, and historical sources there is a vital need to apply advanced computer technologies to support all-source analysis. There are techniques of data warehousing, data mining, and data analysis that can provide analysts with tools that will expedite their extracting useable information from the huge amounts of data to which they have access. Computerized tools can aid analysts by integrating heterogeneous data, evaluating diverse data streams, automating retrieval of database information, prioritizing inputs, reconciling conflicting data, doing preliminary interpretations, discovering patterns or trends in data, and automating some of the simpler prescreening tasks that are time consuming and tedious. Thus knowledge discovery technologies can provide a foundation of support for the analyst. Rather than spending time sifting through often irrelevant information, analysts could use their specialized skills in a focused, productive fashion. This would allow them to make their analytical judgments with more confidence and spend more of their time doing what they do best.

  1. Knowledge discovery: Extracting usable information from large amounts of data

    International Nuclear Information System (INIS)

    Whiteson, R.

    1998-01-01

    The threat of nuclear weapons proliferation is a problem of world wide concern. Safeguards are the key to nuclear nonproliferation and data is the key to safeguards. The safeguards community has access to a huge and steadily growing volume of data. The advantages of this data rich environment are obvious, there is a great deal of information which can be utilized. The challenge is to effectively apply proven and developing technologies to find and extract usable information from that data. That information must then be assessed and evaluated to produce the knowledge needed for crucial decision making. Efficient and effective analysis of safeguards data will depend on utilizing technologies to interpret the large, heterogeneous data sets that are available from diverse sources. With an order-of-magnitude increase in the amount of data from a wide variety of technical, textual, and historical sources there is a vital need to apply advanced computer technologies to support all-source analysis. There are techniques of data warehousing, data mining, and data analysis that can provide analysts with tools that will expedite their extracting useable information from the huge amounts of data to which they have access. Computerized tools can aid analysts by integrating heterogeneous data, evaluating diverse data streams, automating retrieval of database information, prioritizing inputs, reconciling conflicting data, doing preliminary interpretations, discovering patterns or trends in data, and automating some of the simpler prescreening tasks that are time consuming and tedious. Thus knowledge discovery technologies can provide a foundation of support for the analyst. Rather than spending time sifting through often irrelevant information, analysts could use their specialized skills in a focused, productive fashion. This would allow them to make their analytical judgments with more confidence and spend more of their time doing what they do best

  2. Collaborative Approaches to Undergraduate Research Training: Information Literacy and Data Management

    Directory of Open Access Journals (Sweden)

    Hailey Mooney

    2014-03-01

    Full Text Available The undergraduate research experience (URE provides an opportunity for students to engage in meaningful work with faculty mentors on research projects. An increasingly important component of scholarly research is the application of research data management best practices, yet this often falls out of the scope of URE programs. This article presents a case study of faculty and librarian collaboration in the integration of a library and research data management curriculum into a social work URE research team. Discussion includes reflections on the content and learning outcomes, benefits of a holistic approach to introducing undergraduate students to research practice, and challenges of scale.

  3. Evolving spectral transformations for multitemporal information extraction using evolutionary computation

    Science.gov (United States)

    Momm, Henrique; Easson, Greg

    2011-01-01

    Remote sensing plays an important role in assessing temporal changes in land features. The challenge often resides in the conversion of large quantities of raw data into actionable information in a timely and cost-effective fashion. To address this issue, research was undertaken to develop an innovative methodology integrating biologically-inspired algorithms with standard image classification algorithms to improve information extraction from multitemporal imagery. Genetic programming was used as the optimization engine to evolve feature-specific candidate solutions in the form of nonlinear mathematical expressions of the image spectral channels (spectral indices). The temporal generalization capability of the proposed system was evaluated by addressing the task of building rooftop identification from a set of images acquired at different dates in a cross-validation approach. The proposed system generates robust solutions (kappa values > 0.75 for stage 1 and > 0.4 for stage 2) despite the statistical differences between the scenes caused by land use and land cover changes coupled with variable environmental conditions, and the lack of radiometric calibration between images. Based on our results, the use of nonlinear spectral indices enhanced the spectral differences between features improving the clustering capability of standard classifiers and providing an alternative solution for multitemporal information extraction.

  4. ONTOGRABBING: Extracting Information from Texts Using Generative Ontologies

    DEFF Research Database (Denmark)

    Nilsson, Jørgen Fischer; Szymczak, Bartlomiej Antoni; Jensen, P.A.

    2009-01-01

    We describe principles for extracting information from texts using a so-called generative ontology in combination with syntactic analysis. Generative ontologies are introduced as semantic domains for natural language phrases. Generative ontologies extend ordinary finite ontologies with rules...... for producing recursively shaped terms representing the ontological content (ontological semantics) of NL noun phrases and other phrases. We focus here on achieving a robust, often only partial, ontology-driven parsing of and ascription of semantics to a sentence in the text corpus. The aim of the ontological...

  5. A High Accuracy Method for Semi-supervised Information Extraction

    Energy Technology Data Exchange (ETDEWEB)

    Tratz, Stephen C.; Sanfilippo, Antonio P.

    2007-04-22

    Customization to specific domains of dis-course and/or user requirements is one of the greatest challenges for today’s Information Extraction (IE) systems. While demonstrably effective, both rule-based and supervised machine learning approaches to IE customization pose too high a burden on the user. Semi-supervised learning approaches may in principle offer a more resource effective solution but are still insufficiently accurate to grant realistic application. We demonstrate that this limitation can be overcome by integrating fully-supervised learning techniques within a semi-supervised IE approach, without increasing resource requirements.

  6. Fostering Undergraduate Research Experiences in Management Information Systems through the "Research Group" Framework

    Science.gov (United States)

    Bartkus, Ken; Mills, Robert; Olsen, David

    2010-01-01

    The purpose of this paper is to propose an innovative approach to engaged learning. Founded on the principles of a scholarly think-tank and administered along the lines of a consulting organization, the proposed "Research Group" framework is designed to facilitate effective and efficient undergraduate research experiences in Management…

  7. Karst rocky desertification information extraction with EO-1 Hyperion data

    Science.gov (United States)

    Yue, Yuemin; Wang, Kelin; Zhang, Bing; Jiao, Quanjun; Yu, Yizun

    2008-12-01

    Karst rocky desertification is a special kind of land desertification developed under violent human impacts on the vulnerable eco-geo-environment of karst ecosystem. The process of karst rocky desertification results in simultaneous and complex variations of many interrelated soil, rock and vegetation biogeophysical parameters, rendering it difficult to develop simple and robust remote sensing mapping and monitoring approaches. In this study, we aimed to use Earth Observing 1 (EO-1) Hyperion hyperspectral data to extract the karst rocky desertification information. A spectral unmixing model based on Monte Carlo approach, was employed to quantify the fractional cover of photosynthetic vegetation (PV), non-photosynthetic vegetation (NPV) and bare substrates. The results showed that SWIR (1.9-2.35μm) portions of the spectrum were significantly different in PV, NPV and bare rock spectral properties. It has limitations in using full optical range or only SWIR (1.9-2.35μm) region of Hyperion to decompose image into PV, NPV and bare substrates covers. However, when use the tied-SWIR, the sub-pixel fractional covers of PV, NPV and bare substrates were accurately estimated. Our study indicates that the "tied-spectrum" method effectively accentuate the spectral characteristics of materials, while the spectral unmixing model based on Monte Carlo approach is a useful tool to automatically extract mixed ground objects in karst ecosystem. Karst rocky desertification information can be accurately extracted with EO-1 Hyperion. Imaging spectroscopy can provide a powerful methodology toward understanding the extent and spatial pattern of land degradation in karst ecosystem.

  8. Automated extraction of chemical structure information from digital raster images

    Science.gov (United States)

    Park, Jungkap; Rosania, Gus R; Shedden, Kerby A; Nguyen, Mandee; Lyu, Naesung; Saitou, Kazuhiro

    2009-01-01

    Background To search for chemical structures in research articles, diagrams or text representing molecules need to be translated to a standard chemical file format compatible with cheminformatic search engines. Nevertheless, chemical information contained in research articles is often referenced as analog diagrams of chemical structures embedded in digital raster images. To automate analog-to-digital conversion of chemical structure diagrams in scientific research articles, several software systems have been developed. But their algorithmic performance and utility in cheminformatic research have not been investigated. Results This paper aims to provide critical reviews for these systems and also report our recent development of ChemReader – a fully automated tool for extracting chemical structure diagrams in research articles and converting them into standard, searchable chemical file formats. Basic algorithms for recognizing lines and letters representing bonds and atoms in chemical structure diagrams can be independently run in sequence from a graphical user interface-and the algorithm parameters can be readily changed-to facilitate additional development specifically tailored to a chemical database annotation scheme. Compared with existing software programs such as OSRA, Kekule, and CLiDE, our results indicate that ChemReader outperforms other software systems on several sets of sample images from diverse sources in terms of the rate of correct outputs and the accuracy on extracting molecular substructure patterns. Conclusion The availability of ChemReader as a cheminformatic tool for extracting chemical structure information from digital raster images allows research and development groups to enrich their chemical structure databases by annotating the entries with published research articles. Based on its stable performance and high accuracy, ChemReader may be sufficiently accurate for annotating the chemical database with links to scientific research

  9. Automated extraction of chemical structure information from digital raster images

    Directory of Open Access Journals (Sweden)

    Shedden Kerby A

    2009-02-01

    Full Text Available Abstract Background To search for chemical structures in research articles, diagrams or text representing molecules need to be translated to a standard chemical file format compatible with cheminformatic search engines. Nevertheless, chemical information contained in research articles is often referenced as analog diagrams of chemical structures embedded in digital raster images. To automate analog-to-digital conversion of chemical structure diagrams in scientific research articles, several software systems have been developed. But their algorithmic performance and utility in cheminformatic research have not been investigated. Results This paper aims to provide critical reviews for these systems and also report our recent development of ChemReader – a fully automated tool for extracting chemical structure diagrams in research articles and converting them into standard, searchable chemical file formats. Basic algorithms for recognizing lines and letters representing bonds and atoms in chemical structure diagrams can be independently run in sequence from a graphical user interface-and the algorithm parameters can be readily changed-to facilitate additional development specifically tailored to a chemical database annotation scheme. Compared with existing software programs such as OSRA, Kekule, and CLiDE, our results indicate that ChemReader outperforms other software systems on several sets of sample images from diverse sources in terms of the rate of correct outputs and the accuracy on extracting molecular substructure patterns. Conclusion The availability of ChemReader as a cheminformatic tool for extracting chemical structure information from digital raster images allows research and development groups to enrich their chemical structure databases by annotating the entries with published research articles. Based on its stable performance and high accuracy, ChemReader may be sufficiently accurate for annotating the chemical database with links

  10. Information Extraction, Data Integration, and Uncertain Data Management: The State of The Art

    NARCIS (Netherlands)

    Habib, Mena Badieh; van Keulen, Maurice

    2011-01-01

    Information Extraction, data Integration, and uncertain data management are different areas of research that got vast focus in the last two decades. Many researches tackled those areas of research individually. However, information extraction systems should have integrated with data integration

  11. Evidence from Students’ Information Seeking Diaries Underscores the Importance of Including Librarians in Undergraduate Education. A Review of: Lee, J. Y., Paik, W., & Joo, S. (2012). Information resource selection of undergraduate students in academic search tasks. Information Research, 17(1), paper511. Retrieved 8 Aug., 2012 from http://informationr.net/ir/17-1/paper511.html

    OpenAIRE

    Maria Melssen

    2012-01-01

    Objective – To determine what informationresources undergraduate students choose tocomplete assignments for their courses, whythey choose those resources, the process ofselecting those resources and the factors thatcontributed to selecting the resources, andtheir perceptions of those resources.Design – Semi-structured information seekingdiary.Setting – Private university in Seoul, Korea.Subjects – 233 undergraduate students fromall majors and all years.Methods – Students selected one assignme...

  12. Preparation and participation of undergraduate students to inform culturally sensitive research.

    Science.gov (United States)

    Wells, Jo Nell; Cagle, Carolyn Spence

    2009-07-01

    Most student work as research assistants occurs at the graduate level of nursing education, and little is known about the role of undergraduate students as research assistants (RAs) in major research projects. Based on our desire to study Mexican American (MA) cancer caregivers, we needed bilingual and bicultural RAs to serve as data collectors with women who spoke Spanish and possessed cultural beliefs that influenced their caregiving. Following successful recruitment, orientation, and mentoring based on Bandura's social learning theory [Bandura, A., 2001. Social learning theory: an agentic perspective. Annual Review of Psychology 52, 1-26] and accepted teaching-learning principles, RAs engaged in various behaviors that facilitated study outcomes. Faculty researchers, RAs, and study participants benefitted greatly from the undergraduate student involvement in this project. This article describes successful student inclusion approaches, ongoing faculty-RA interactions, and lessons learned from the research team experience. Guidelines discussed support the potential for making the undergraduate RA role a useful and unique learning experience.

  13. Automated Extraction of Substance Use Information from Clinical Texts.

    Science.gov (United States)

    Wang, Yan; Chen, Elizabeth S; Pakhomov, Serguei; Arsoniadis, Elliot; Carter, Elizabeth W; Lindemann, Elizabeth; Sarkar, Indra Neil; Melton, Genevieve B

    2015-01-01

    Within clinical discourse, social history (SH) includes important information about substance use (alcohol, drug, and nicotine use) as key risk factors for disease, disability, and mortality. In this study, we developed and evaluated a natural language processing (NLP) system for automated detection of substance use statements and extraction of substance use attributes (e.g., temporal and status) based on Stanford Typed Dependencies. The developed NLP system leveraged linguistic resources and domain knowledge from a multi-site social history study, Propbank and the MiPACQ corpus. The system attained F-scores of 89.8, 84.6 and 89.4 respectively for alcohol, drug, and nicotine use statement detection, as well as average F-scores of 82.1, 90.3, 80.8, 88.7, 96.6, and 74.5 respectively for extraction of attributes. Our results suggest that NLP systems can achieve good performance when augmented with linguistic resources and domain knowledge when applied to a wide breadth of substance use free text clinical notes.

  14. Domain-independent information extraction in unstructured text

    Energy Technology Data Exchange (ETDEWEB)

    Irwin, N.H. [Sandia National Labs., Albuquerque, NM (United States). Software Surety Dept.

    1996-09-01

    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 when 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.

  15. Querying and Extracting Timeline Information from Road Traffic Sensor Data

    Science.gov (United States)

    Imawan, Ardi; Indikawati, Fitri Indra; Kwon, Joonho; Rao, Praveen

    2016-01-01

    The escalation of traffic congestion in urban cities has urged many countries to use intelligent transportation system (ITS) centers to collect historical traffic sensor data from multiple heterogeneous sources. By analyzing historical traffic data, we can obtain valuable insights into traffic behavior. Many existing applications have been proposed with limited analysis results because of the inability to cope with several types of analytical queries. In this paper, we propose the QET (querying and extracting timeline information) system—a novel analytical query processing method based on a timeline model for road traffic sensor data. To address query performance, we build a TQ-index (timeline query-index) that exploits spatio-temporal features of timeline modeling. We also propose an intuitive timeline visualization method to display congestion events obtained from specified query parameters. In addition, we demonstrate the benefit of our system through a performance evaluation using a Busan ITS dataset and a Seattle freeway dataset. PMID:27563900

  16. Extraction of neutron spectral information from Bonner-Sphere data

    CERN Document Server

    Haney, J H; Zaidins, C S

    1999-01-01

    We have extended a least-squares method of extracting neutron spectral information from Bonner-Sphere data which was previously developed by Zaidins et al. (Med. Phys. 5 (1978) 42). A pulse-height analysis with background stripping is employed which provided a more accurate count rate for each sphere. Newer response curves by Mares and Schraube (Nucl. Instr. and Meth. A 366 (1994) 461) were included for the moderating spheres and the bare detector which comprise the Bonner spectrometer system. Finally, the neutron energy spectrum of interest was divided using the philosophy of fuzzy logic into three trapezoidal regimes corresponding to slow, moderate, and fast neutrons. Spectral data was taken using a PuBe source in two different environments and the analyzed data is presented for these cases as slow, moderate, and fast neutron fluences. (author)

  17. Making Sense of the Information Seeking Process of Undergraduates in a Specialised University: Revelations from Dialogue Journaling on WhatsApp Messenger

    Science.gov (United States)

    Krubu, Dorcas Ejemeh; Zinn, Sandy; Hart, Genevieve

    2017-01-01

    Aim/Purpose: The research work investigated the information seeking process of undergraduates in a specialised university in Nigeria, in the course of a group assignment. Background: Kuhlthau's Information Search Process (ISP) model is used as lens to reveal how students interact with information in the affective, cognitive and physical realms.…

  18. Competition preparation guideline in undergraduate program of information system school of Industrial Engineering Telkom University based on knowledge conversion

    Science.gov (United States)

    Darmawan, F. R.; Soesanto, R. P.; Kurniawati, A.; Kurniawan, M. T.

    2017-12-01

    The role of higher education in the development of science and technology is not only from the contribution of the high-quality alumni but also from the research and relevant competition with the needs of development in such a country. In a competition, the student can improve their soft skill and academic skill such as analytical and critical thinking, communication skills and mental. The number of relevant competition by students is also included in accreditation clause, therefore student involvement in competition is seen as important for the undergraduate program in University. The most problem in university is the high turnover from the student. Bachelor program in Indonesia usually takes 4 years to complete, and the high turnover causes the student come and go as they are a graduate from the institution without preserving the knowledge and experience from the competition to other students. This research aims to develop a guidance for competition preparation in the university by using knowledge conversion. The object of this research is an information system undergraduate program in the school of industrial engineering Telkom University. The best practice selection is done by using factor rating method. Delphi method is used to identify the criteria, and AHP method is used to calculate the weight of each criterion. From the factor rating result it is known that from 3 respondent, best practice from respondent A (7.321) is used for preparing the programming competition in an undergraduate program of information system in the school of industrial engineering Telkom University. FGD is done to disseminate the selected best practice into the process stakeholder which is head of the student affair of the school of industrial engineering, students, and laboratory assistants. Future research can be done to create more comprehensive criteria for selecting the best practice.

  19. Learning in the informal spaces and re-signification of the existence of undergraduate students of nursing.

    Science.gov (United States)

    de Jesus, Isabel Silva; Sena, Edite Lago da Silva; Andrade, Luana Machado

    2014-10-01

    To describe the perception of lecturers and undergraduate nursing students regarding the dialogic experience in the informal spaces and its relationship with training in health. Experiential descriptions were collected in the context of a public university in the non-metropolitan region of the state of Bahia, Brazil, using open interviews. These descriptions were analyzed according to the principles of the phenomenology of Maurice Merleau-Ponty. It was revealed that the informal spaces contribute significantly to the construction of knowledge and professional training strengthening teaching and promoting the re-signification of the subjects' experience. It is evidenced that the dialogic experience has relevancy for rethinking the teaching-learning process in the university, such that the informal spaces should be included and valued as producers of meanings for the personal and academic life of lecturers and students, with the ability to re-signify existence.

  20. Information extraction and knowledge graph construction from geoscience literature

    Science.gov (United States)

    Wang, Chengbin; Ma, Xiaogang; Chen, Jianguo; Chen, Jingwen

    2018-03-01

    Geoscience literature published online is an important part of open data, and brings both challenges and opportunities for data analysis. Compared with studies of numerical geoscience data, there are limited works on information extraction and knowledge discovery from textual geoscience data. This paper presents a workflow and a few empirical case studies for that topic, with a focus on documents written in Chinese. First, we set up a hybrid corpus combining the generic and geology terms from geology dictionaries to train Chinese word segmentation rules of the Conditional Random Fields model. Second, we used the word segmentation rules to parse documents into individual words, and removed the stop-words from the segmentation results to get a corpus constituted of content-words. Third, we used a statistical method to analyze the semantic links between content-words, and we selected the chord and bigram graphs to visualize the content-words and their links as nodes and edges in a knowledge graph, respectively. The resulting graph presents a clear overview of key information in an unstructured document. This study proves the usefulness of the designed workflow, and shows the potential of leveraging natural language processing and knowledge graph technologies for geoscience.

  1. Multi-Filter String Matching and Human-Centric Entity Matching for Information Extraction

    Science.gov (United States)

    Sun, Chong

    2012-01-01

    More and more information is being generated in text documents, such as Web pages, emails and blogs. To effectively manage this unstructured information, one broadly used approach includes locating relevant content in documents, extracting structured information and integrating the extracted information for querying, mining or further analysis. In…

  2. Data Assimilation to Extract Soil Moisture Information from SMAP Observations

    Directory of Open Access Journals (Sweden)

    Jana Kolassa

    2017-11-01

    Full Text Available This study compares different methods to extract soil moisture information through the assimilation of Soil Moisture Active Passive (SMAP observations. Neural network (NN and physically-based SMAP soil moisture retrievals were assimilated into the National Aeronautics and Space Administration (NASA Catchment model over the contiguous United States for April 2015 to March 2017. By construction, the NN retrievals are consistent with the global climatology of the Catchment model soil moisture. Assimilating the NN retrievals without further bias correction improved the surface and root zone correlations against in situ measurements from 14 SMAP core validation sites (CVS by 0.12 and 0.16, respectively, over the model-only skill, and reduced the surface and root zone unbiased root-mean-square error (ubRMSE by 0.005 m 3 m − 3 and 0.001 m 3 m − 3 , respectively. The assimilation reduced the average absolute surface bias against the CVS measurements by 0.009 m 3 m − 3 , but increased the root zone bias by 0.014 m 3 m − 3 . Assimilating the NN retrievals after a localized bias correction yielded slightly lower surface correlation and ubRMSE improvements, but generally the skill differences were small. The assimilation of the physically-based SMAP Level-2 passive soil moisture retrievals using a global bias correction yielded similar skill improvements, as did the direct assimilation of locally bias-corrected SMAP brightness temperatures within the SMAP Level-4 soil moisture algorithm. The results show that global bias correction methods may be able to extract more independent information from SMAP observations compared to local bias correction methods, but without accurate quality control and observation error characterization they are also more vulnerable to adverse effects from retrieval errors related to uncertainties in the retrieval inputs and algorithm. Furthermore, the results show that using global bias correction approaches without a

  3. Integrating Clinical Neuropsychology into the Undergraduate Curriculum.

    Science.gov (United States)

    Puente, Antonio E.; And Others

    1991-01-01

    Claims little information exists in undergraduate education about clinical neuropsychology. Outlines an undergraduate neuropsychology course and proposes ways to integrate the subject into existing undergraduate psychology courses. Suggests developing specialized audio-visual materials for telecourses or existing courses. (NL)

  4. Conceptual and Adoption of Technology Acceptance Model in Digital Information Resources Usage by Undergraduates: Implication to Higher Institutions Education in Delta and Edo of Nigeria

    Science.gov (United States)

    Urhiewhu, Lucky Oghenetega; Emojorho, Daniel

    2015-01-01

    The article paper was on conceptual and theoretical framework of digital information resources usage by undergraduates: Implication to higher institutions education in Delta and Edo of Nigeria. It revealed the concept of digital information resources [DIRs] and model theory that related to the study. Finding shows that DIRs are use to low extent…

  5. Earth Science Data Analytics: Preparing for Extracting Knowledge from Information

    Science.gov (United States)

    Kempler, Steven; Barbieri, Lindsay

    2016-01-01

    Data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations and other useful information. Data analytics is a broad term that includes data analysis, as well as an understanding of the cognitive processes an analyst uses to understand problems and explore data in meaningful ways. Analytics also include data extraction, transformation, and reduction, utilizing specific tools, techniques, and methods. Turning to data science, definitions of data science sound very similar to those of data analytics (which leads to a lot of the confusion between the two). But the skills needed for both, co-analyzing large amounts of heterogeneous data, understanding and utilizing relevant tools and techniques, and subject matter expertise, although similar, serve different purposes. Data Analytics takes on a practitioners approach to applying expertise and skills to solve issues and gain subject knowledge. Data Science, is more theoretical (research in itself) in nature, providing strategic actionable insights and new innovative methodologies. Earth Science Data Analytics (ESDA) is the process of examining, preparing, reducing, and analyzing large amounts of spatial (multi-dimensional), temporal, or spectral data using a variety of data types to uncover patterns, correlations and other information, to better understand our Earth. The large variety of datasets (temporal spatial differences, data types, formats, etc.) invite the need for data analytics skills that understand the science domain, and data preparation, reduction, and analysis techniques, from a practitioners point of view. The application of these skills to ESDA is the focus of this presentation. The Earth Science Information Partners (ESIP) Federation Earth Science Data Analytics (ESDA) Cluster was created in recognition of the practical need to facilitate the co-analysis of large amounts of data and information for Earth science. Thus, from a to

  6. Information-Seeking Behaviour on Internet: A Comparison between Arts and Science Undergraduate Students in Iran

    Science.gov (United States)

    Omidian, Faranak; Seifi Maleki, A.M. Masoomeh

    2013-01-01

    The Internet has increasingly influenced the information-seeking behavior of students in higher education over the past few decades. The mass availability of information on the web has seen significant changes in the electronic information needs, information retrieval, and communication patterns (information seeking behavior) of university…

  7. Extracting information in spike time patterns with wavelets and information theory.

    Science.gov (United States)

    Lopes-dos-Santos, Vítor; Panzeri, Stefano; Kayser, Christoph; Diamond, Mathew E; Quian Quiroga, Rodrigo

    2015-02-01

    We present a new method to assess the information carried by temporal patterns in spike trains. The method first performs a wavelet decomposition of the spike trains, then uses Shannon information to select a subset of coefficients carrying information, and finally assesses timing information in terms of decoding performance: the ability to identify the presented stimuli from spike train patterns. We show that the method allows: 1) a robust assessment of the information carried by spike time patterns even when this is distributed across multiple time scales and time points; 2) an effective denoising of the raster plots that improves the estimate of stimulus tuning of spike trains; and 3) an assessment of the information carried by temporally coordinated spikes across neurons. Using simulated data, we demonstrate that the Wavelet-Information (WI) method performs better and is more robust to spike time-jitter, background noise, and sample size than well-established approaches, such as principal component analysis, direct estimates of information from digitized spike trains, or a metric-based method. Furthermore, when applied to real spike trains from monkey auditory cortex and from rat barrel cortex, the WI method allows extracting larger amounts of spike timing information. Importantly, the fact that the WI method incorporates multiple time scales makes it robust to the choice of partly arbitrary parameters such as temporal resolution, response window length, number of response features considered, and the number of available trials. These results highlight the potential of the proposed method for accurate and objective assessments of how spike timing encodes information. Copyright © 2015 the American Physiological Society.

  8. A COMPREHENSIVE STUDY ON TEXT INFORMATION EXTRACTION FROM NATURAL SCENE IMAGES

    OpenAIRE

    Anit V. Manjaly; B. Shanmuga Priya

    2016-01-01

    In Text Information Extraction (TIE) process, the text regions are localized and extracted from the images. It is an active research problem in computer vision applications. Diversity in text is due to the differences in size, style, orientation, alignment of text, low image contrast and complex backgrounds. The semantic information provided by an image can be used in different applications such as content based image retrieval, sign board identification etc. Text information extraction compr...

  9. Lunar and Planetary Science XXXV: Undergraduate Education and Research Programs, Facilities, and Information Access

    Science.gov (United States)

    2004-01-01

    The titles in this section include: 1) GRIDVIEW: Recent Improvements in Research and Education Software for Exploring Mars Topography; 2) Software and Hardware Upgrades for the University of North Dakota Asteroid and Comet Internet Telescope (ACIT); 3) Web-based Program for Calculating Effects of an Earth Impact; 4) On-Line Education, Web- and Virtual-Classes in an Urban University: A Preliminary Overview; 5) Modelling Planetary Material's Structures: From Quasicrystalline Microstructure to Crystallographic Materials by Use of Mathematica; 6) How We Used NASA Lunar Set in Planetary and Material Science Studies: Textural and Cooling Sequences in Sections of Lava Column from a Thin and a Thick Lava-Flow, from the Moon and Mars with Terrestrial Analogue and Chondrule Textural Comparisons; 7) Classroom Teaching of Space Technology and Simulations by the Husar Rover Model; 8) New Experiments (In Meteorology, Aerosols, Soil Moisture and Ice) on the New Hunveyor Educational Planetary Landers of Universities and Colleges in Hungary; 9) Teaching Planetary GIS by Constructing Its Model for the Test Terrain of the Hunveyor and Husar; 10) Undergraduate Students: An Untapped Resource for Planetary Researchers; 11) Analog Sites in Field Work of Petrology: Rock Assembly Delivered to a Plain by Floods on Earth and Mars; 12) RELAB (Reflectance Experiment Laboratory): A NASA Multiuser Spectroscopy Facility; 13) Full Text Searching and Customization in the NASA ADS Abstract Service.

  10. Medicaid Analytic eXtract (MAX) General Information

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Medicaid Analytic eXtract (MAX) data is a set of person-level data files on Medicaid eligibility, service utilization, and payments. The MAX data are created to...

  11. Automating Information Extraction from 3-D Scan Data

    National Research Council Canada - National Science Library

    Bradtmiller, Bruce

    1998-01-01

    ... and 7.2, newly developed software for extracting body measurements from 3-D scans. Investigators used traditional methods to measure 123 male and female subjects for 21 dimensions associated with the sizing and design of military clothing...

  12. Undergraduate Students' Use of Online Information in World Geography: Source Types and Selection Criteria

    Science.gov (United States)

    Hong, Jung Eun; Jo, Injeong

    2017-01-01

    Offering up-to-date information and diverse perspectives on issues, online information can be a valuable resource that supplements traditional course materials like textbooks. In this paper, the source types that students' use for a course assignment and the criteria they apply to determine usefulness of the online information are examined.…

  13. Effects of Brief Integrated Information Literacy Education Sessions on Undergraduate Engineering Students' Interdisciplinary Research

    Science.gov (United States)

    Talikka, Marja; Soukka, Risto; Eskelinen, Harri

    2018-01-01

    Engineering students often conduct information searches without sufficient consideration of the context of their research topic. This article discusses how development of a new information literacy (IL) mindset through instruction in integrated IL education affects students' understanding of research problems and formulation of information search…

  14. Merging Information Literacy and Evidence-Based Practice in an Undergraduate Health Sciences Curriculum Map

    Science.gov (United States)

    Franzen, Susan; Bannon, Colleen M.

    2016-01-01

    The ACRL's "Framework for Information Literacy for Higher Education" offers the opportunity to rethink information literacy teaching and curriculum. However, the ACRL's rescinded "Information Literacy Competency Standards for Higher Education" correlate with the preferred research and decision-making model of the health…

  15. The extraction of coastal windbreak forest information based on UAV remote sensing images

    Science.gov (United States)

    Shang, Weitao; Gao, Zhiqiang; Jiang, Xiaopeng; Chen, Maosi

    2017-09-01

    Unmanned aerial vehicle(UAV) have been increasingly used for natural resource applications in recent years as a result of their greater availability, the miniaturization of sensors, and the ability to deploy UAV relatively quickly and repeatedly at low altitudes. UAV remote sensing offer rich contextual information, including spatial, spectral and contextual information. In order to extract the information from these UAV remote sensing images, we need to utilize the spatial and contextual information of an object and its surroundings. If pixel based approaches are applied to extract information from such remotely sensed data, only spectral information is used. Thereby, in Pixel based approaches, information extraction is based exclusively on the gray level thresholding methods. To extract the certain features only from UAV remote sensing images, this situation becomes worse. To overcome this situation an object-oriented approach is implemented. By object-oriented thought, the coastal windbreak forest information are extracted by the use of UAV remote sensing images. Firstly, the images are segmented. And then the spectral information and object geometry information of images objects are comprehensively applied to build the coastal windbreak forest extraction knowledge base. Thirdly, the results of coastal windbreak forest extraction are improved and completed. The results show that better accuracy of coastal windbreak forest extraction can be obtained by the proposed method, in contrast to the pixel-oriented method. In this study, the overall accuracy of classified image is 0.94 and Kappa accuracy is 0.92.

  16. The Role of the Electronic Portfolio in Enhancing Information and Communication Technology and English Language Skills: The Voices of Six Malaysian Undergraduates

    Science.gov (United States)

    Thang, Siew Ming; Lee, Yit Sim; Zulkifli, Nurul Farhana

    2012-01-01

    This study investigated the effects of the construction and development of electronic portfolios (e-portfolios) on a small user population at a public university in Malaysia. The study was based on a three-month Information and Communication Technology (ICT) and language learning course offered to the undergraduates of the university. One of the…

  17. Gender Rationales in Selecting a Major in Information Technology at the Undergraduate Level of a University Program: A Focus Group Approach

    Science.gov (United States)

    Mishra, Sushma; Draus, Peter; Caputo, Donald; Leone, Gregory; Kohun, Frederick; Repack, Diana

    2014-01-01

    Previous research studies of women applying to, enrolling and completing computing degrees at the undergraduate collegiate level suggest a significant underrepresentation of females in the Information Technology domain in the past decade. This study employs a focus group approach to the gender gap that encompasses forays into the qualitative…

  18. A Diagnosis of the Levels of Information Literacy Competency among Social Sciences Undergraduates

    Science.gov (United States)

    Pinto, María; Fernández-Pascual, Rosaura

    2017-01-01

    Restricted to five Spanish public universities, this paper examines knowledge about information literacy competencies--that is, the objective dimension--among a population of social sciences students, as well as two subjective dimensions: students' belief in the importance of information literacy, hereafter called "belief-in-importance",…

  19. Not on the Same Page: Undergraduates' Information Retrieval in Electronic and Print Books

    Science.gov (United States)

    Berg, Selinda Adelle; Hoffmann, Kristin; Dawson, Diane

    2010-01-01

    Academic libraries are increasingly collecting e-books, but little research has investigated how students use e-books compared to print texts. This study used a prompted think-aloud method to gain an understanding of the information retrieval behavior of students in both formats. Qualitative analysis identified themes that will inform instruction…

  20. Broken Links: Undergraduates Look Back on Their Experiences with Information Literacy in K-12 Education

    Science.gov (United States)

    Latham, Don; Gross, Melissa

    2008-01-01

    In the past decade information literacy has received increasing emphasis in K-12 and postsecondary education, yet the information literacy skill levels of high school and college graduates continue to vary considerably. This report compares findings across a subset of data collected in three independent research studies focusing on students'…

  1. Promoting information literacy through collaborative service learning in an undergraduate research course.

    Science.gov (United States)

    Janke, Robert; Pesut, Barbara; Erbacker, Lynnelle

    2012-11-01

    Information literacy is an important foundation for evidence-based nursing practice. Librarians, the experts in information literacy, are important collaborators in the process of teaching nursing students information literacy skills. In this article we describe a service learning project, offered in a third year nursing research course, designed to teach information literacy and to enhance students' appreciation of the role of evidence in nursing practice. Students worked in groups, and under the guidance of a nursing instructor and librarian, to answer a question posed by practice-based partners. Through the project students learned essential skills of refining a question, identifying systematic search strategies, gleaning essential information from a study and using a bibliographic management tool. Evaluation of the project indicated that although the project was challenging and labour intensive students felt they learned important skills for their future practice. Several recommendations for further enhancing the collaboration are made. Copyright © 2011 Elsevier Ltd. All rights reserved.

  2. Information Extraction with Character-level Neural Networks and Free Noisy Supervision

    OpenAIRE

    Meerkamp, Philipp; Zhou, Zhengyi

    2016-01-01

    We present an architecture for information extraction from text that augments an existing parser with a character-level neural network. The network is trained using a measure of consistency of extracted data with existing databases as a form of noisy supervision. Our architecture combines the ability of constraint-based information extraction systems to easily incorporate domain knowledge and constraints with the ability of deep neural networks to leverage large amounts of data to learn compl...

  3. Effect of information literacy training course on information literacy skills of undergraduate students of Isfahan University of Medical Sciences based on ACRL standards.

    Science.gov (United States)

    Karimi, Zohreh; Ashrafi-Rizi, Hasan; Papi, Ahmad; Shahrzadi, Leila; Hassanzadeh, Akbar

    2015-01-01

    Information literacy is the basis for lifelong learning. Information literacy skills, especially for student in an environment that is full of information from multiple technologies are being developed is equally important. Information literacy is a set of cognitive and practical skills and like any other science, proper training is needed, and standard-based education is definitely better and evaluation would be easier. This study aimed to determine the impact of information literacy training course on information literacy skills of Isfahan University of Medical Sciences students based on ACRL standard in 2012. The study method is semi-experience with two group design (with pre-test and post-test) and applied. The data collection toll was a questionnaire assessing student's information literacy that developed by Davarpanah and Siamak and validity was confirmed by professional librarians and reliability as measured by Cronbach's alpha, was 0.83. The sample consisted of 50 undergraduate students from Isfahan University of Medical Sciences that by random sampling method was perch in both case and control groups. Before and after the training (once a week), a questionnaire was distributed between the two groups. This training was held in a classroom equipped with computers with internet access and in addition to training using brochures and librarian presentation, interactive methods such as discussion and exercises were used. The data were analyzed using SPSS version 20 software and two level of descriptive (mean and SD) and inferential statistics (t-test and t-paired). The results showed that the students' information literacy scores before the training was lower than average, so that in the control group was 32.96 and in the case group was 33.24; while information literacy scores in the case group significantly increased after the training (46.68). Also, the effect of education, respectively had a greater impact on the ability to access information (the second

  4. Towards an information extraction and knowledge formation framework based on Shannon entropy

    Directory of Open Access Journals (Sweden)

    Iliescu Dragoș

    2017-01-01

    Full Text Available Information quantity subject is approached in this paperwork, considering the specific domain of nonconforming product management as information source. This work represents a case study. Raw data were gathered from a heavy industrial works company, information extraction and knowledge formation being considered herein. Involved method for information quantity estimation is based on Shannon entropy formula. Information and entropy spectrum are decomposed and analysed for extraction of specific information and knowledge-that formation. The result of the entropy analysis point out the information needed to be acquired by the involved organisation, this being presented as a specific knowledge type.

  5. Communicating the relevance of the library in the age of Google: Improving undergraduate research skills and information literacy though new models of library instruction

    Directory of Open Access Journals (Sweden)

    Jennifer Rempel

    2013-12-01

    Full Text Available Most academic librarians have long been aware that the ascent of the Internet has posed a challenge to the primacy of the library as information hub. Recent studies have shown that the majority of undergraduate students do not begin their research in the library, but with Google and Wikipedia - and many students end their research here as well (Connaway, Dickey, & Radford, 2011. This trend would seem to bode ill for the quality of the research skills and the level of information literacy among current undergraduates, as many students privilege convenient access to information over quality of content (Colón-Aguirre & Fleming-May, 2012; Connaway, et al., 2011. But how do we prepare undergraduate students for the rigours of academic research given this circumstance? The library instruction session has been the path to information literacy traditionally taken by colleges and universities, but increasingly, librarians have begun questioning the value of these sessions. Many undergraduates do not find library instruction sessions relevant to their practical information needs and to changing modes of information access, and many students do not come away from library information sessions feeling fully prepared - or even fully willing - to move beyond Google and into the library in order to carry out quality information searches (Colón-Aguirre & Fleming-May, 2012. Indeed, many librarians also now feel that the classic model of library instruction no longer fully meets the information needs of undergraduates nor anticipates their Internet-focused research habits, and that library instruction needs to change dramatically in order to do so (Colón-Aguirre & Fleming-May, 2012; Farkas, 2012. Such means of improving library instruction include: breaking away from the single-session model and moving toward a multiple-session model (Farkas, 2012; incorporating discussion of Internet-based and electronic resources more fully into instruction sessions (Col

  6. Accurate and Automatic Building Roof Extraction Using Neighborhood Information of Point Clouds

    Directory of Open Access Journals (Sweden)

    ZHAO Chuan

    2017-09-01

    Full Text Available High accuracy building roof extraction from LiDAR data is the key to build topological relationship of building roofs and reconstruct buildings. Aiming at the poor adaptation and low extraction precision of existing roof extraction methods for complex building, an accurate and automatic building roof extraction method using neighborhood information of point clouds is proposed. Point clouds features are calculated by principle component analysis, and reliable seed points are selected after feature histogram construction. Initial roof surfaces are extracted quickly and precisely by the proposed local normal vector distribution density-based spatial clustering of applications with noise (LNVD-DBSCAN. Roof competition problem is solved effectively by the poll model based on neighborhood information. Experimental results show that the proposed method can extract building roofs automatically and precisely, and has preferable adaptation to buildings with different complexity, which is able to provide reliable roof information for building reconstruction.

  7. Extracting local information from crowds through betting markets

    Science.gov (United States)

    Weijs, Steven

    2015-04-01

    In this research, a set-up is considered in which users can bet against a forecasting agency to challenge their probabilistic forecasts. From an information theory standpoint, a reward structure is considered that either provides the forecasting agency with better information, paying the successful providers of information for their winning bets, or funds excellent forecasting agencies through users that think they know better. Especially for local forecasts, the approach may help to diagnose model biases and to identify local predictive information that can be incorporated in the models. The challenges and opportunities for implementing such a system in practice are also discussed.

  8. An Integrated Learning Approach to Teaching an Undergraduate Information Systems Course

    Science.gov (United States)

    Riordan, Robert J.; Hine, Michael J.; Smith, Tim C.

    2017-01-01

    This paper describes the redesign and implementation of an introductory Information Systems class. The redesign was guided by principles drawn from the experiential and active learning literature. Central to the redesign are two simulated companies: petGRO, a fictional ERP-enabled pet food and accessories e-tailer, and beans4all, a technology…

  9. A real-world Case Study in Information Technology for Undergraduate Students

    NARCIS (Netherlands)

    Sikkel, Nicolaas; Spil, Antonius A.M.; van de Weg, R.L.W.

    1999-01-01

    Real-world case studies are important to complement the academic skills and knowledge acquired by computer science students. In this paper we relate our experiences with a course specifically designed to address this issue. The problem to be addressed is the replacement of a Hospital Information

  10. SPIC Undergraduate Programme

    Indian Academy of Sciences (India)

    Home; Journals; Resonance – Journal of Science Education; Volume 3; Issue 12. SPIC Undergraduate Programme. P K Subrahmanyam. Information and Announcements Volume 3 Issue 12 December 1998 pp 108-110. Fulltext. Click here to view fulltext PDF. Permanent link:

  11. Information extraction from topographic map using colour and shape ...

    Indian Academy of Sciences (India)

    Scanning of topographic map provides a comprehensive digital repository of topographic maps developed by Survey of ... Govern- ment and agencies capture digital information or convert existing analogous map information. For instance, maps .... transformations from one pattern to another. An ontology driven pattern ...

  12. Spoken Language Understanding Systems for Extracting Semantic Information from Speech

    CERN Document Server

    Tur, Gokhan

    2011-01-01

    Spoken language understanding (SLU) is an emerging field in between speech and language processing, investigating human/ machine and human/ human communication by leveraging technologies from signal processing, pattern recognition, machine learning and artificial intelligence. SLU systems are designed to extract the meaning from speech utterances and its applications are vast, from voice search in mobile devices to meeting summarization, attracting interest from both commercial and academic sectors. Both human/machine and human/human communications can benefit from the application of SLU, usin

  13. Information Literacy (IL Intervention Workshop has Positive, but Limited, Effects on Undergraduate Students’ IL Skills

    Directory of Open Access Journals (Sweden)

    Lisa Shen

    2014-07-01

    Full Text Available Objective – To evaluate the impact of an educational intervention workshop on students’ information literacy (IL skills and self-perception of their own IL knowledge. Design – Quasi-experimental design with control groups and semi-structured interviews. Setting – Two community colleges in the United States of America, one in a rural setting and one in an urban setting. Subjects – Ninety-two students enrolled in an entry-level English course, who scored below proficiency (65% on the Information Literacy Test (ILT. Methods – One hundred students from each college took the pre-session ILT and an IL self assessment survey at the beginning of the Spring 2011 semester. The ILT used was developed and validated by James Madison University (Wise, Cameron, Yang, & Davis, n.d. and measures understanding of all the Association of College and Research Libraries (ACRL Information Literacy Competency Standards (ACRL, 2000, pp. 2-3 except Standard 4. For motivation, students each received $20 for their efforts and were told those who scored in the top 15% would enter a draw to win one of two additional prizes of $50. Those who scored below the ILT proficiency level of 65% were invited to participate in the quasi-experiment.

  14. Sifting Through Chaos: Extracting Information from Unstructured Legal Opinions.

    Science.gov (United States)

    Oliveira, Bruno Miguel; Guimarães, Rui Vasconcellos; Antunes, Luís; Rodrigues, Pedro Pereira

    2018-01-01

    Abiding to the law is, in some cases, a delicate balance between the rights of different players. Re-using health records is such a case. While the law grants reuse rights to public administration documents, in which health records produced in public health institutions are included, it also grants privacy to personal records. To safeguard a correct usage of data, public hospitals in Portugal employ jurists that are responsible for allowing or withholding access rights to health records. To help decision making, these jurists can consult the legal opinions issued by the national committee on public administration documents usage. While these legal opinions are of undeniable value, due to their doctrine contribution, they are only available in a format best suited from printing, forcing individual consultation of each document, with no option, whatsoever of clustered search, filtering or indexing, which are standard operations nowadays in a document management system. When having to decide on tens of data requests a day, it becomes unfeasible to consult the hundreds of legal opinions already available. With the objective to create a modern document management system, we devised an open, platform agnostic system that extracts and compiles the legal opinions, ex-tracts its contents and produces metadata, allowing for a fast searching and filtering of said legal opinions.

  15. Nurses' use of mobile devices to access information in health care environments in australia: a survey of undergraduate students.

    Science.gov (United States)

    Mather, Carey; Cummings, Elizabeth; Allen, Penny

    2014-12-10

    The growth of digital technology has created challenges for safe and appropriate use of mobile or portable devices during work-integrated learning (WIL) in health care environments. Personal and professional use of technology has outpaced the development of policy or codes of practice for guiding its use at the workplace. There is a perceived risk that portable devices may distract from provision of patient or client care if used by health professionals or students during employment or WIL. This study aimed to identify differences in behavior of undergraduate nurses in accessing information, using a portable or mobile device, when undertaking WIL compared to other non-work situations. A validated online survey was administered to students while on placement in a range of health care settings in two Australian states. There were 84 respondents, with 56% (n=47) reporting access to a mobile or portable device. Differences in use of a mobile device away from, compared with during WIL, were observed for non-work related activities such as messaging (Pmobile learning is being undertaken, in situ, by the next generation of nurses who expect easy access to mobile or portable devices at the workplace, to ensure safe and competent care is delivered to their patients.

  16. Extraction of Data from a Hospital Information System to Perform Process Mining.

    Science.gov (United States)

    Neira, Ricardo Alfredo Quintano; de Vries, Gert-Jan; Caffarel, Jennifer; Stretton, Erin

    2017-01-01

    The aim of this work is to share our experience in relevant data extraction from a hospital information system in preparation for a research study using process mining techniques. The steps performed were: research definition, mapping the normative processes, identification of tables and fields names of the database, and extraction of data. We then offer lessons learned during data extraction phase. Any errors made in the extraction phase will propagate and have implications on subsequent analyses. Thus, it is essential to take the time needed and devote sufficient attention to detail to perform all activities with the goal of ensuring high quality of the extracted data. We hope this work will be informative for other researchers to plan and execute extraction of data for process mining research studies.

  17. Undergraduate medical textbooks do not provide adequate information on intravenous fluid therapy: a systematic survey and suggestions for improvement.

    Science.gov (United States)

    Powell, Arfon G M T; Paterson-Brown, Simon; Drummond, Gordon B

    2014-02-20

    Inappropriate prescribing of intravenous (IV) fluid, particularly 0.9% sodium chloride, causes post-operative complications. Fluid prescription is often left to junior medical staff and is frequently poorly managed. One reason for poor intravenous fluid prescribing practices could be inadequate coverage of this topic in the textbooks that are used. We formulated a comprehensive set of topics, related to important common clinical situations involving IV fluid therapy, (routine fluid replacement, fluid loss, fluids overload) to assess the adequacy of textbooks in common use. We assessed 29 medical textbooks widely available to students in the UK, scoring the presence of information provided by each book on each of the topics. The scores indicated how fully the topics were considered: not at all, partly, and adequately. No attempt was made to judge the quality of the information, because there is no consensus on these topics. The maximum score that a book could achieve was 52. Three of the topics we chose were not considered by any of the books. Discounting these topics as "too esoteric", the maximum possible score became 46. One textbook gained a score of 45, but the general score was poor (median 11, quartiles 4, 21). In particular, coverage of routine postoperative management was inadequate. Textbooks for undergraduates cover the topic of intravenous therapy badly, which may partly explain the poor knowledge and performance of junior doctors in this important field. Systematic revision of current textbooks might improve knowledge and practice by junior doctors. Careful definition of the remit and content of textbooks should be applied more widely to ensure quality and "fitness for purpose", and avoid omission of vital knowledge.

  18. An evaluation of methods used to teach quality improvement to undergraduate healthcare students to inform curriculum development within preregistration nurse education: a protocol for systematic review and narrative synthesis.

    Science.gov (United States)

    Armstrong, Lorraine; Lauder, William; Shepherd, Ashley

    2015-01-14

    Despite criticism, quality improvement (QI) continues to drive political and educational priorities within health care. Until recently, QI educational interventions have varied, targeting mainly postgraduates, middle management and the medical profession. However, there is now consensus within the UK, USA and beyond to integrate QI explicitly into nurse education, and faculties may require redesign of their QI curriculum to achieve this. Whilst growth in QI preregistration nurse education is emerging, little empirical evidence exists to determine such effects. Furthermore, previous healthcare studies evaluating QI educational interventions lend little in the way of support and have instead been subject to criticism. They reveal methodological weakness such as no reporting of theoretical underpinnings, insufficient intervention description, poor evaluation methods, little clinical or patient impact and lack of sustainability. This study aims therefore to identify, evaluate and synthesise teaching methods used within the undergraduate population to aid development of QI curriculum within preregistration nurse education. A systematic review of the literature will be conducted. Electronic databases, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Psychological Information (PsychINFO), Education Resources Information Centre (ERIC), Medical Literature Analysis and Retrieval System Online (MEDLINE) and Applied Social Sciences Index and Abstracts (ASSIA), will be searched alongside reference list scanning and a grey literature search. Peer-reviewed studies from 2000-2014 will be identified using key terms quality improvement, education, curriculum, training, undergraduate, teaching methods, students and evaluation. Studies describing a QI themed educational intervention aimed at undergraduate healthcare students will be included and data extracted using a modified version of the Reporting of Primary Studies in Education (REPOSE) Guidelines. Studies will

  19. Extraction of Graph Information Based on Image Contents and the Use of Ontology

    Science.gov (United States)

    Kanjanawattana, Sarunya; Kimura, Masaomi

    2016-01-01

    A graph is an effective form of data representation used to summarize complex information. Explicit information such as the relationship between the X- and Y-axes can be easily extracted from a graph by applying human intelligence. However, implicit knowledge such as information obtained from other related concepts in an ontology also resides in…

  20. Two applications of information extraction to biological science journal articles: enzyme interactions and protein structures.

    Science.gov (United States)

    Humphreys, K; Demetriou, G; Gaizauskas, R

    2000-01-01

    Information extraction technology, as defined and developed through the U.S. DARPA Message Understanding Conferences (MUCs), has proved successful at extracting information primarily from newswire texts and primarily in domains concerned with human activity. In this paper we consider the application of this technology to the extraction of information from scientific journal papers in the area of molecular biology. In particular, we describe how an information extraction system designed to participate in the MUC exercises has been modified for two bioinformatics applications: EMPathIE, concerned with enzyme and metabolic pathways; and PASTA, concerned with protein structure. Progress to date provides convincing grounds for believing that IE techniques will deliver novel and effective ways for scientists to make use of the core literature which defines their disciplines.

  1. Analysis of space-borne data for coastal zone information extraction of Goa Coast, India

    Digital Repository Service at National Institute of Oceanography (India)

    Kunte, P.D.; Wagle, B.G.

    Space-borne data covering the coastal zone of Goa State were processed using digital and visual image-processing techniques to extract information about the coastal zone. Digital image processing of thematic data included principal component...

  2. ADVANCED EXTRACTION OF SPATIAL INFORMATION FROM HIGH RESOLUTION SATELLITE DATA

    Directory of Open Access Journals (Sweden)

    T. Pour

    2016-06-01

    Full Text Available In this paper authors processed five satellite image of five different Middle-European cities taken by five different sensors. The aim of the paper was to find methods and approaches leading to evaluation and spatial data extraction from areas of interest. For this reason, data were firstly pre-processed using image fusion, mosaicking and segmentation processes. Results going into the next step were two polygon layers; first one representing single objects and the second one representing city blocks. In the second step, polygon layers were classified and exported into Esri shapefile format. Classification was partly hierarchical expert based and partly based on the tool SEaTH used for separability distinction and thresholding. Final results along with visual previews were attached to the original thesis. Results are evaluated visually and statistically in the last part of the paper. In the discussion author described difficulties of working with data of large size, taken by different sensors and different also thematically.

  3. Extracting information of fixational eye movements through pupil tracking

    Science.gov (United States)

    Xiao, JiangWei; Qiu, Jian; Luo, Kaiqin; Peng, Li; Han, Peng

    2018-01-01

    Human eyes are never completely static even when they are fixing a stationary point. These irregular, small movements, which consist of micro-tremors, micro-saccades and drifts, can prevent the fading of the images that enter our eyes. The importance of researching the fixational eye movements has been experimentally demonstrated recently. However, the characteristics of fixational eye movements and their roles in visual process have not been explained clearly, because these signals can hardly be completely extracted by now. In this paper, we developed a new eye movement detection device with a high-speed camera. This device includes a beam splitter mirror, an infrared light source and a high-speed digital video camera with a frame rate of 200Hz. To avoid the influence of head shaking, we made the device wearable by fixing the camera on a safety helmet. Using this device, the experiments of pupil tracking were conducted. By localizing the pupil center and spectrum analysis, the envelope frequency spectrum of micro-saccades, micro-tremors and drifts are shown obviously. The experimental results show that the device is feasible and effective, so that the device can be applied in further characteristic analysis.

  4. Financial Information Extraction Using Pre-defined and User-definable Templates in the LOLITA System

    OpenAIRE

    Costantino, Marco; Morgan, Richard G.; Collingham, Russell J.

    1996-01-01

    This paper addresses the issue of information extraction in the financial domain within the framework of a large Natural Language Processing system: LOLITA. The LOLITA system, Large-scale Object-based Linguistic Interactor Translator and Analyser, is a general purpose natural language processing system. Different kinds of applications have been built around the system's core. One of these is the financial information extraction application, which has been designed in close contact with expert...

  5. Lithium NLP: A System for Rich Information Extraction from Noisy User Generated Text on Social Media

    OpenAIRE

    Bhargava, Preeti; Spasojevic, Nemanja; Hu, Guoning

    2017-01-01

    In this paper, we describe the Lithium Natural Language Processing (NLP) system - a resource-constrained, high- throughput and language-agnostic system for information extraction from noisy user generated text on social media. Lithium NLP extracts a rich set of information including entities, topics, hashtags and sentiment from text. We discuss several real world applications of the system currently incorporated in Lithium products. We also compare our system with existing commercial and acad...

  6. Motivation and Attitudes Towards Learning and Using English Outside the Classroom Environment: A Study of the Library and Information Science Undergraduates at the University of Tsukuba

    OpenAIRE

    Lo, Patrick

    2013-01-01

    This purpose of this study is to investigate the different social and cultural factors related to Japanese university students’ motivation and attitudes towards speaking English outside the formal classroom environment. A self-constructed questionnaire was administrated to a group of third- and fourth-year undergraduate students in June 2012. These Japanese students were learning English as a foreign language, and they were all majoring in library and information science at the University of ...

  7. Data-Driven Information Extraction from Chinese Electronic Medical Records.

    Directory of Open Access Journals (Sweden)

    Dong Xu

    Full Text Available This study aims to propose a data-driven framework that takes unstructured free text narratives in Chinese Electronic Medical Records (EMRs as input and converts them into structured time-event-description triples, where the description is either an elaboration or an outcome of the medical event.Our framework uses a hybrid approach. It consists of constructing cross-domain core medical lexica, an unsupervised, iterative algorithm to accrue more accurate terms into the lexica, rules to address Chinese writing conventions and temporal descriptors, and a Support Vector Machine (SVM algorithm that innovatively utilizes Normalized Google Distance (NGD to estimate the correlation between medical events and their descriptions.The effectiveness of the framework was demonstrated with a dataset of 24,817 de-identified Chinese EMRs. The cross-domain medical lexica were capable of recognizing terms with an F1-score of 0.896. 98.5% of recorded medical events were linked to temporal descriptors. The NGD SVM description-event matching achieved an F1-score of 0.874. The end-to-end time-event-description extraction of our framework achieved an F1-score of 0.846.In terms of named entity recognition, the proposed framework outperforms state-of-the-art supervised learning algorithms (F1-score: 0.896 vs. 0.886. In event-description association, the NGD SVM is superior to SVM using only local context and semantic features (F1-score: 0.874 vs. 0.838.The framework is data-driven, weakly supervised, and robust against the variations and noises that tend to occur in a large corpus. It addresses Chinese medical writing conventions and variations in writing styles through patterns used for discovering new terms and rules for updating the lexica.

  8. Extracting information from textual documents in the electronic health record: a review of recent research.

    Science.gov (United States)

    Meystre, S M; Savova, G K; Kipper-Schuler, K C; Hurdle, J F

    2008-01-01

    We examine recent published research on the extraction of information from textual documents in the Electronic Health Record (EHR). Literature review of the research published after 1995, based on PubMed, conference proceedings, and the ACM Digital Library, as well as on relevant publications referenced in papers already included. 174 publications were selected and are discussed in this review in terms of methods used, pre-processing of textual documents, contextual features detection and analysis, extraction of information in general, extraction of codes and of information for decision-support and enrichment of the EHR, information extraction for surveillance, research, automated terminology management, and data mining, and de-identification of clinical text. Performance of information extraction systems with clinical text has improved since the last systematic review in 1995, but they are still rarely applied outside of the laboratory they have been developed in. Competitive challenges for information extraction from clinical text, along with the availability of annotated clinical text corpora, and further improvements in system performance are important factors to stimulate advances in this field and to increase the acceptance and usage of these systems in concrete clinical and biomedical research contexts.

  9. Omnidirectional vision systems calibration, feature extraction and 3D information

    CERN Document Server

    Puig, Luis

    2013-01-01

    This work focuses on central catadioptric systems, from the early step of calibration to high-level tasks such as 3D information retrieval. The book opens with a thorough introduction to the sphere camera model, along with an analysis of the relation between this model and actual central catadioptric systems. Then, a new approach to calibrate any single-viewpoint catadioptric camera is described.  This is followed by an analysis of existing methods for calibrating central omnivision systems, and a detailed examination of hybrid two-view relations that combine images acquired with uncalibrated

  10. Extracting spatial information from large aperture exposures of diffuse sources

    Science.gov (United States)

    Clarke, J. T.; Moos, H. W.

    1981-01-01

    The spatial properties of large aperture exposures of diffuse emission can be used both to investigate spatial variations in the emission and to filter out camera noise in exposures of weak emission sources. Spatial imaging can be accomplished both parallel and perpendicular to dispersion with a resolution of 5-6 arc sec, and a narrow median filter running perpendicular to dispersion across a diffuse image selectively filters out point source features, such as reseaux marks and fast particle hits. Spatial information derived from observations of solar system objects is presented.

  11. Statistical techniques to extract information during SMAP soil moisture assimilation

    Science.gov (United States)

    Kolassa, J.; Reichle, R. H.; Liu, Q.; Alemohammad, S. H.; Gentine, P.

    2017-12-01

    Statistical techniques permit the retrieval of soil moisture estimates in a model climatology while retaining the spatial and temporal signatures of the satellite observations. As a consequence, the need for bias correction prior to an assimilation of these estimates is reduced, which could result in a more effective use of the independent information provided by the satellite observations. In this study, a statistical neural network (NN) retrieval algorithm is calibrated using SMAP brightness temperature observations and modeled soil moisture estimates (similar to those used to calibrate the SMAP Level 4 DA system). Daily values of surface soil moisture are estimated using the NN and then assimilated into the NASA Catchment model. The skill of the assimilation estimates is assessed based on a comprehensive comparison to in situ measurements from the SMAP core and sparse network sites as well as the International Soil Moisture Network. The NN retrieval assimilation is found to significantly improve the model skill, particularly in areas where the model does not represent processes related to agricultural practices. Additionally, the NN method is compared to assimilation experiments using traditional bias correction techniques. The NN retrieval assimilation is found to more effectively use the independent information provided by SMAP resulting in larger model skill improvements than assimilation experiments using traditional bias correction techniques.

  12. Research on Crowdsourcing Emergency Information Extraction of Based on Events' Frame

    Science.gov (United States)

    Yang, Bo; Wang, Jizhou; Ma, Weijun; Mao, Xi

    2018-01-01

    At present, the common information extraction method cannot extract the structured emergency event information accurately; the general information retrieval tool cannot completely identify the emergency geographic information; these ways also do not have an accurate assessment of these results of distilling. So, this paper proposes an emergency information collection technology based on event framework. This technique is to solve the problem of emergency information picking. It mainly includes emergency information extraction model (EIEM), complete address recognition method (CARM) and the accuracy evaluation model of emergency information (AEMEI). EIEM can be structured to extract emergency information and complements the lack of network data acquisition in emergency mapping. CARM uses a hierarchical model and the shortest path algorithm and allows the toponomy pieces to be joined as a full address. AEMEI analyzes the results of the emergency event and summarizes the advantages and disadvantages of the event framework. Experiments show that event frame technology can solve the problem of emergency information drawing and provides reference cases for other applications. When the emergency disaster is about to occur, the relevant departments query emergency's data that has occurred in the past. They can make arrangements ahead of schedule which defense and reducing disaster. The technology decreases the number of casualties and property damage in the country and world. This is of great significance to the state and society.

  13. Vascular Extraction Using MRA Statistics and Gradient Information

    Directory of Open Access Journals (Sweden)

    Shifeng Zhao

    2018-01-01

    Full Text Available Brain vessel segmentation is a fundamental component of cerebral disease screening systems. However, detecting vessels is still a challenging task owing to their complex appearance and thinning geometry as well as the contrast decrease from the root of the vessel to its thin branches. We present a method for segmentation of the vasculature in Magnetic Resonance Angiography (MRA images. First, we apply volume projection, 2D segmentation, and back-projection procedures for first stage of background subtraction and vessel reservation. Those labeled as background or vessel voxels are excluded from consideration in later computation. Second, stochastic expectation maximization algorithm (SEM is used to estimate the probability density function (PDF of the remaining voxels, which are assumed to be mixture of one Rayleigh and two Gaussian distributions. These voxels can then be classified into background, middle region, or vascular structure. Third, we adapt the K-means method which is based on the gradient of remaining voxels to effectively detect true positives around boundaries of vessels. Experimental results on clinical cerebral data demonstrate that using gradient information as a further step improves the mixture model based segmentation of cerebral vasculature, in particular segmentation of the low contrast vasculature.

  14. Visualization of health information with predications extracted using natural language processing and filtered using the UMLS.

    Science.gov (United States)

    Miller, Trudi; Leroy, Gondy

    2008-11-06

    Increased availability of and reliance on written health information can tax the abilities of unskilled readers. We are developing a system that uses natural language processing to extract phrases, identify medical terms using the UMLS, and visualize the propositions. This system substantially reduces the amount of information a consumer must read, while providing an alternative to traditional prose based text.

  15. Information analysis of iris biometrics for the needs of cryptology key extraction

    Directory of Open Access Journals (Sweden)

    Adamović Saša

    2013-01-01

    Full Text Available The paper presents a rigorous analysis of iris biometric information for the synthesis of an optimized system for the extraction of a high quality cryptology key. Estimations of local entropy and mutual information were identified as segments of the iris most suitable for this purpose. In order to optimize parameters, corresponding wavelets were transformed, in order to obtain the highest possible entropy and mutual information lower in the transformation domain, which set frameworks for the synthesis of systems for the extraction of truly random sequences of iris biometrics, without compromising authentication properties. [Projekat Ministarstva nauke Republike Srbije, br. TR32054 i br. III44006

  16. Experiencing Research-Informed Teaching from the Student Perspective: Insights from Developing an Undergraduate E-Journal

    Science.gov (United States)

    Gresty, Karen A.; Edwards-Jones, Andrew

    2012-01-01

    This paper reports the findings of a science e-journal initiative to publish undergraduate research and assesses student evaluations of this experience. Students in this (post-1992, non-research-intensive) institution overwhelmingly reported that research was a key feature of their course at the point of the e-journal introduction and that they…

  17. Extraction of Hidden Social Networks from Wiki-Environment Involved in Information Conflict

    OpenAIRE

    Rasim M. Alguliyev; Ramiz M. Aliguliyev; Irada Y. Alakbarova

    2016-01-01

    Social network analysis is a widely used technique to analyze relationships among wiki-users in Wikipedia. In this paper the method to identify hidden social networks participating in information conflicts in wiki-environment is proposed. In particular, we describe how text clustering techniques can be used for extraction of hidden social networks of wiki-users caused information conflict. By clustering unstructured text articles caused information conflict we ...

  18. [Land salinization information extraction method based on HSI hyperspectral and TM imagery].

    Science.gov (United States)

    Li, Jin; Zhao, Geng-Xing; Chang, Chun-Yan; Liu, Hai-Teng

    2014-02-01

    This paper chose the typical salinization area in Kenli County of the Yellow River Delta as the study area, selected HJ-1A satellite HSI image at March 15, 2011 and TM image at March 22, 2011 as source of information, and pre-processed these data by image cropping, geometric correction and atmospheric correction. Spectral characteristics of main land use types including different degree of salinization lands, water and shoals were analyzed to find distinct bands for information extraction Land use information extraction model was built by adopting the quantitative and qualitative rules combining the spectral characteristics and the content of soil salinity. Land salinization information was extracted via image classification using decision tree method. The remote sensing image interpretation accuracy was verified by land salinization degree, which was determined through soil salinity chemical analysis of soil sampling points. In addition, classification accuracy between the hyperspectral and multi-spectral images were analyzed and compared. The results showed that the overall image classification accuracy of HSI was 96.43%, Kappa coefficient was 95.59%; while the overall image classification accuracy of TM was 89.17%, Kappa coefficient was 86.74%. Therefore, compared to multi-spectral TM data, the hyperspectral imagery could be more accurate and efficient for land salinization information extraction. Also, the classification map showed that the soil salinity distinction degree of hyperspectral image was higher than that of multi-spectral image. This study explored the land salinization information extraction techniques from hyperspectral imagery, extracted the spatial distribution and area ratio information of different degree of salinization land, and provided decision-making basis for the scientific utilization and management of coastal salinization land resources in the Yellow River Delta.

  19. MedTime: a temporal information extraction system for clinical narratives.

    Science.gov (United States)

    Lin, Yu-Kai; Chen, Hsinchun; Brown, Randall A

    2013-12-01

    Temporal information extraction from clinical narratives is of critical importance to many clinical applications. We participated in the EVENT/TIMEX3 track of the 2012 i2b2 clinical temporal relations challenge, and presented our temporal information extraction system, MedTime. MedTime comprises a cascade of rule-based and machine-learning pattern recognition procedures. It achieved a micro-averaged f-measure of 0.88 in both the recognitions of clinical events and temporal expressions. We proposed and evaluated three time normalization strategies to normalize relative time expressions in clinical texts. The accuracy was 0.68 in normalizing temporal expressions of dates, times, durations, and frequencies. This study demonstrates and evaluates the integration of rule-based and machine-learning-based approaches for high performance temporal information extraction from clinical narratives. Copyright © 2013 Elsevier Inc. All rights reserved.

  20. Automatically extracting clinically useful sentences from UpToDate to support clinicians' information needs.

    Science.gov (United States)

    Mishra, Rashmi; Del Fiol, Guilherme; Kilicoglu, Halil; Jonnalagadda, Siddhartha; Fiszman, Marcelo

    2013-01-01

    Clinicians raise several information needs in the course of care. Most of these needs can be met by online health knowledge resources such as UpToDate. However, finding relevant information in these resources often requires significant time and cognitive effort. To design and assess algorithms for extracting from UpToDate the sentences that represent the most clinically useful information for patient care decision making. We developed algorithms based on semantic predications extracted with SemRep, a semantic natural language processing parser. Two algorithms were compared against a gold standard composed of UpToDate sentences rated in terms of clinical usefulness. Clinically useful sentences were strongly correlated with predication frequency (correlation= 0.95). The two algorithms did not differ in terms of top ten precision (53% vs. 49%; p=0.06). Semantic predications may serve as the basis for extracting clinically useful sentences. Future research is needed to improve the algorithms.

  1. Extracting and standardizing medication information in clinical text - the MedEx-UIMA system.

    Science.gov (United States)

    Jiang, Min; Wu, Yonghui; Shah, Anushi; Priyanka, Priyanka; Denny, Joshua C; Xu, Hua

    2014-01-01

    Extraction of medication information embedded in clinical text is important for research using electronic health records (EHRs). However, most of current medication information extraction systems identify drug and signature entities without mapping them to standard representation. In this study, we introduced the open source Java implementation of MedEx, an existing high-performance medication information extraction system, based on the Unstructured Information Management Architecture (UIMA) framework. In addition, we developed new encoding modules in the MedEx-UIMA system, which mapped an extracted drug name/dose/form to both generalized and specific RxNorm concepts and translated drug frequency information to ISO standard. We processed 826 documents by both systems and verified that MedEx-UIMA and MedEx (the Python version) performed similarly by comparing both results. Using two manually annotated test sets that contained 300 drug entries from medication list and 300 drug entries from narrative reports, the MedEx-UIMA system achieved F-measures of 98.5% and 97.5% respectively for encoding drug names to corresponding RxNorm generic drug ingredients, and F-measures of 85.4% and 88.1% respectively for mapping drug names/dose/form to the most specific RxNorm concepts. It also achieved an F-measure of 90.4% for normalizing frequency information to ISO standard. The open source MedEx-UIMA system is freely available online at http://code.google.com/p/medex-uima/.

  2. Information Extraction of High-Resolution Remotely Sensed Image Based on Multiresolution Segmentation

    Directory of Open Access Journals (Sweden)

    Peng Shao

    2014-08-01

    Full Text Available The principle of multiresolution segmentation was represented in detail in this study, and the canny algorithm was applied for edge-detection of a remotely sensed image based on this principle. The target image was divided into regions based on object-oriented multiresolution segmentation and edge-detection. Furthermore, object hierarchy was created, and a series of features (water bodies, vegetation, roads, residential areas, bare land and other information were extracted by the spectral and geometrical features. The results indicate that the edge-detection has a positive effect on multiresolution segmentation, and overall accuracy of information extraction reaches to 94.6% by the confusion matrix.

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

    Science.gov (United States)

    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

  4. Approaching the largest ‘API’: extracting information from the Internet with Python

    OpenAIRE

    Jonathan E. Germann

    2018-01-01

    This article explores the need for libraries to algorithmically access and manipulate the world’s largest API: the Internet. The billions of pages on the ‘Internet API’ (HTTP, HTML, CSS, XPath, DOM, etc.) are easily accessible and manipulable. Libraries can assist in creating meaning through the datafication of information on the world wide web. Because most information is created for human consumption, some programming is required for automated extraction. Python is an easy-to-learn progra...

  5. Information Extraction to Generate Visual Simulations of Car Accidents from Written Descriptions

    NARCIS (Netherlands)

    Nugues, P.; Dupuy, S.; Egges, A.

    2003-01-01

    This paper describes a system to create animated 3D scenes of car accidents from written reports. The text-to-scene conversion process consists of two stages. An information extraction module creates a tabular description of the accident and a visual simulator generates and animates the scene. We

  6. Network and Ensemble Enabled Entity Extraction in Informal Text (NEEEEIT) final report

    Energy Technology Data Exchange (ETDEWEB)

    Kegelmeyer, Philip W. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Shead, Timothy M. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Dunlavy, Daniel M. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2013-09-01

    This SAND report summarizes the activities and outcomes of the Network and Ensemble Enabled Entity Extraction in Information Text (NEEEEIT) LDRD project, which addressed improving the accuracy of conditional random fields for named entity recognition through the use of ensemble methods.

  7. End-to-end information extraction without token-level supervision

    DEFF Research Database (Denmark)

    Palm, Rasmus Berg; Hovy, Dirk; Laws, Florian

    2017-01-01

    and output text. We evaluate our model on the ATIS data set, MIT restaurant corpus and the MIT movie corpus and compare to neural baselines that do use token-level labels. We achieve competitive results, within a few percentage points of the baselines, showing the feasibility of E2E information extraction...

  8. A construction scheme of web page comment information extraction system based on frequent subtree mining

    Science.gov (United States)

    Zhang, Xiaowen; Chen, Bingfeng

    2017-08-01

    Based on the frequent sub-tree mining algorithm, this paper proposes a construction scheme of web page comment information extraction system based on frequent subtree mining, referred to as FSM system. The entire system architecture and the various modules to do a brief introduction, and then the core of the system to do a detailed description, and finally give the system prototype.

  9. Extracting information from two-dimensional electrophoresis gels by partial least squares regression

    DEFF Research Database (Denmark)

    Jessen, Flemming; Lametsch, R.; Bendixen, E.

    2002-01-01

    Two-dimensional gel electrophoresis (2-DE) produces large amounts of data and extraction of relevant information from these data demands a cautious and time consuming process of spot pattern matching between gels. The classical approach of data analysis is to detect protein markers that appear...

  10. Polarity Assignment to Causal Information Extracted from Financial Articles Concerning Business Performance of Companies

    Science.gov (United States)

    Sakai, Hiroyuki; Masuyama, Shigeru

    We propose a method of assigning polarity to causal information extracted from Japanese financial articles concerning business performance of companies. Our method assigns polarity (positive or negative) according to business performance to causal information, e.g. "zidousya no uriage ga koutyou: (Sales of cars are good)" (The polarity positive is assigned in this example.). First, our method classifies articles concerning business performance into positive articles and negative articles. Using this classified sets of articles, our method assigns polarity (positive or negative) to causal information extracted from the set of articles concerning business performance. We evaluated our method and it attained 75.3% precision and 47.9% recall of assigning polarity positive, and 77.0% precision and 58.5% recall of assigning polarity negative, respectively.

  11. Information extraction from full text scientific articles: Where are the keywords?

    Directory of Open Access Journals (Sweden)

    Perez-Iratxeta Carolina

    2003-05-01

    Full Text Available Abstract Background To date, many of the methods for information extraction of biological information from scientific articles are restricted to the abstract of the article. However, full text articles in electronic version, which offer larger sources of data, are currently available. Several questions arise as to whether the effort of scanning full text articles is worthy, or whether the information that can be extracted from the different sections of an article can be relevant. Results In this work we addressed those questions showing that the keyword content of the different sections of a standard scientific article (abstract, introduction, methods, results, and discussion is very heterogeneous. Conclusions Although the abstract contains the best ratio of keywords per total of words, other sections of the article may be a better source of biologically relevant data.

  12. Integrating semantic information into multiple kernels for protein-protein interaction extraction from biomedical literatures.

    Directory of Open Access Journals (Sweden)

    Lishuang Li

    Full Text Available Protein-Protein Interaction (PPI extraction is an important task in the biomedical information extraction. Presently, many machine learning methods for PPI extraction have achieved promising results. However, the performance is still not satisfactory. One reason is that the semantic resources were basically ignored. In this paper, we propose a multiple-kernel learning-based approach to extract PPIs, combining the feature-based kernel, tree kernel and semantic kernel. Particularly, we extend the shortest path-enclosed tree kernel (SPT by a dynamic extended strategy to retrieve the richer syntactic information. Our semantic kernel calculates the protein-protein pair similarity and the context similarity based on two semantic resources: WordNet and Medical Subject Heading (MeSH. We evaluate our method with Support Vector Machine (SVM and achieve an F-score of 69.40% and an AUC of 92.00%, which show that our method outperforms most of the state-of-the-art systems by integrating semantic information.

  13. A Method for Extracting Road Boundary Information from Crowdsourcing Vehicle GPS Trajectories

    Directory of Open Access Journals (Sweden)

    Wei Yang

    2018-04-01

    Full Text Available Crowdsourcing trajectory data is an important approach for accessing and updating road information. In this paper, we present a novel approach for extracting road boundary information from crowdsourcing vehicle traces based on Delaunay triangulation (DT. First, an optimization and interpolation method is proposed to filter abnormal trace segments from raw global positioning system (GPS traces and interpolate the optimization segments adaptively to ensure there are enough tracking points. Second, constructing the DT and the Voronoi diagram within interpolated tracking lines to calculate road boundary descriptors using the area of Voronoi cell and the length of triangle edge. Then, the road boundary detection model is established integrating the boundary descriptors and trajectory movement features (e.g., direction by DT. Third, using the boundary detection model to detect road boundary from the DT constructed by trajectory lines, and a regional growing method based on seed polygons is proposed to extract the road boundary. Experiments were conducted using the GPS traces of taxis in Beijing, China, and the results show that the proposed method is suitable for extracting the road boundary from low-frequency GPS traces, multi-type road structures, and different time intervals. Compared with two existing methods, the automatically extracted boundary information was proved to be of higher quality.

  14. Studies on methods and techniques of weak information extraction and integrated evaluation for sandstone-type uranium deposits

    International Nuclear Information System (INIS)

    Han Shaoyang; Ke Dan; Hou Huiqun; Hu Shuiqing

    2004-01-01

    Weak information extraction and integrated evaluation for sandstone-type uranium deposits are currently one of the important research contents in uranium exploration. Through several years researches, the authors put forward the meaning of aeromagnetic and aeroradioactive weak information extraction, study the formation theories of aeromagnetic and aeroradioactive weak information and establish effective mathematic models for weak information extraction. Based on GIS software, models of weak information extraction are actualized and the expert-grading model for integrated evaluation is developed. The trial of aeromagnetic and aeroradioactive weak information and integrated evaluation of uranium resources are completed by using GIS software in the study area. The researchful results prove that techniques of weak information extraction and integrated evaluation may further delineate the prospective areas of sandstone-type uranium deposits rapidly and improve the predicitive precision. (authors)

  15. [Extraction of spectral information of additives from activated manganese dioxide products using adaptive kernel independent component analysis].

    Science.gov (United States)

    Wang, Guo-qing; Peng, Yang; Liu, Shao-wen; Sun, Xiao-li; Zhao, Jian-bo; Sun, Yu-an; Liu, Ying-fan

    2011-05-01

    The additives were abstracted from the manganese dioxide products with four kinds of organic solvents, ether, acetone, chloroform and toluene. The extracts were then baked and their attenuated total reflectance (ATR) FTIR spectra were measured using liquid membrane method. The number of chemical components of the additives was determined by median absolute deviation (MAD), and the spectral information of the pure component was extracted by kernel independent component analysis (KICA). The extracted spectral information of the additives is accordant to that of the practically used compounds. An adaptive kernel independent component analysis (AKICA) was proposed for directive extraction of spectral information from chemical mixtures. The results demonstrated that the AKICA method provides an alternative approach to extracting spectral information from the chemical mixtures without previously chemical or physical preseparation for direct extracting spectral information of pure components in the mixed system.

  16. Congestive heart failure information extraction framework for automated treatment performance measures assessment.

    Science.gov (United States)

    Meystre, Stéphane M; Kim, Youngjun; Gobbel, Glenn T; Matheny, Michael E; Redd, Andrew; Bray, Bruce E; Garvin, Jennifer H

    2017-04-01

    This paper describes a new congestive heart failure (CHF) treatment performance measure information extraction system - CHIEF - developed as part of the Automated Data Acquisition for Heart Failure project, a Veterans Health Administration project aiming at improving the detection of patients not receiving recommended care for CHF. CHIEF is based on the Apache Unstructured Information Management Architecture framework, and uses a combination of rules, dictionaries, and machine learning methods to extract left ventricular function mentions and values, CHF medications, and documented reasons for a patient not receiving these medications. The training and evaluation of CHIEF were based on subsets of a reference standard of various clinical notes from 1083 Veterans Health Administration patients. Domain experts manually annotated these notes to create our reference standard. Metrics used included recall, precision, and the F 1 -measure. In general, CHIEF extracted CHF medications with high recall (>0.990) and good precision (0.960-0.978). Mentions of Left Ventricular Ejection Fraction were also extracted with high recall (0.978-0.986) and precision (0.986-0.994), and quantitative values of Left Ventricular Ejection Fraction were found with 0.910-0.945 recall and with high precision (0.939-0.976). Reasons for not prescribing CHF medications were more difficult to extract, only reaching fair accuracy with about 0.310-0.400 recall and 0.250-0.320 precision. This study demonstrated that applying natural language processing to unlock the rich and detailed clinical information found in clinical narrative text notes makes fast and scalable quality improvement approaches possible, eventually improving management and outpatient treatment of patients suffering from CHF. © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com

  17. Automatically extracting sentences from Medline citations to support clinicians' information needs.

    Science.gov (United States)

    Jonnalagadda, Siddhartha Reddy; Del Fiol, Guilherme; Medlin, Richard; Weir, Charlene; Fiszman, Marcelo; Mostafa, Javed; Liu, Hongfang

    2013-01-01

    Online health knowledge resources contain answers to most of the information needs raised by clinicians in the course of care. However, significant barriers limit the use of these resources for decision-making, especially clinicians' lack of time. In this study we assessed the feasibility of automatically generating knowledge summaries for a particular clinical topic composed of relevant sentences extracted from Medline citations. The proposed approach combines information retrieval and semantic information extraction techniques to identify relevant sentences from Medline abstracts. We assessed this approach in two case studies on the treatment alternatives for depression and Alzheimer's disease. A total of 515 of 564 (91.3%) sentences retrieved in the two case studies were relevant to the topic of interest. About one-third of the relevant sentences described factual knowledge or a study conclusion that can be used for supporting information needs at the point of care. The high rate of relevant sentences is desirable, given that clinicians' lack of time is one of the main barriers to using knowledge resources at the point of care. Sentence rank was not significantly associated with relevancy, possibly due to most sentences being highly relevant. Sentences located closer to the end of the abstract and sentences with treatment and comparative predications were likely to be conclusive sentences. Our proposed technical approach to helping clinicians meet their information needs is promising. The approach can be extended for other knowledge resources and information need types.

  18. From remote sensing data about information extraction for 3D geovisualization - Development of a workflow

    International Nuclear Information System (INIS)

    Tiede, D.

    2010-01-01

    With an increased availability of high (spatial) resolution remote sensing imagery since the late nineties, the need to develop operative workflows for the automated extraction, provision and communication of information from such data has grown. Monitoring requirements, aimed at the implementation of environmental or conservation targets, management of (environmental-) resources, and regional planning as well as international initiatives, especially the joint initiative of the European Commission and ESA (European Space Agency) for Global Monitoring for Environment and Security (GMES) play also a major part. This thesis addresses the development of an integrated workflow for the automated provision of information derived from remote sensing data. Considering applied data and fields of application, this work aims to design the workflow as generic as possible. Following research questions are discussed: What are the requirements of a workflow architecture that seamlessly links the individual workflow elements in a timely manner and secures accuracy of the extracted information effectively? How can the workflow retain its efficiency if mounds of data are processed? How can the workflow be improved with regards to automated object-based image analysis (OBIA)? Which recent developments could be of use? What are the limitations or which workarounds could be applied in order to generate relevant results? How can relevant information be prepared target-oriented and communicated effectively? How can the more recently developed freely available virtual globes be used for the delivery of conditioned information under consideration of the third dimension as an additional, explicit carrier of information? Based on case studies comprising different data sets and fields of application it is demonstrated how methods to extract and process information as well as to effectively communicate results can be improved and successfully combined within one workflow. It is shown that (1

  19. Science teachers and docents as mentors to science and mathematics undergraduates in formal and information settings. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Koran, J.J. Jr. [Florida Museum of Natural History, Gainesville, FL (United States)

    1993-10-15

    Twenty-four undergraduate science and mathematics majors who were juniors and seniors in the colleges of Liberal Arts and Sciences and Engineering were recruited, and paid, to participate in an orientation seminar and act as teacher aides in regional schools and the Florida Museum of Natural History. Aides worked with teachers in the schools one semester and as docents in the natural history museum a second semester. Mentoring took place by the principal investigator and participating teachers and docents throughout the program. Success of the program was measured by a specially prepared attitude instrument which was administered to participants before the mentoring started and when it ended each semester. Written logs (field notes) were also prepared and submitted by participants at the end of each semester. Further, a tally was kept of the number of participants who decided to go into science or mathematics teaching as a result of the experience.

  20. Extracting breathing rate information from a wearable reflectance pulse oximeter sensor.

    Science.gov (United States)

    Johnston, W S; Mendelson, Y

    2004-01-01

    The integration of multiple vital physiological measurements could help combat medics and field commanders to better predict a soldier's health condition and enhance their ability to perform remote triage procedures. In this paper we demonstrate the feasibility of extracting accurate breathing rate information from a photoplethysmographic signal that was recorded by a reflectance pulse oximeter sensor mounted on the forehead and subsequently processed by a simple time domain filtering and frequency domain Fourier analysis.

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

    Science.gov (United States)

    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

  2. Automatically extracting clinically useful sentences from UpToDate to support clinicians’ information needs

    Science.gov (United States)

    Mishra, Rashmi; Fiol, Guilherme Del; Kilicoglu, Halil; Jonnalagadda, Siddhartha; Fiszman, Marcelo

    2013-01-01

    Clinicians raise several information needs in the course of care. Most of these needs can be met by online health knowledge resources such as UpToDate. However, finding relevant information in these resources often requires significant time and cognitive effort. Objective: To design and assess algorithms for extracting from UpToDate the sentences that represent the most clinically useful information for patient care decision making. Methods: We developed algorithms based on semantic predications extracted with SemRep, a semantic natural language processing parser. Two algorithms were compared against a gold standard composed of UpToDate sentences rated in terms of clinical usefulness. Results: Clinically useful sentences were strongly correlated with predication frequency (correlation= 0.95). The two algorithms did not differ in terms of top ten precision (53% vs. 49%; p=0.06). Conclusions: Semantic predications may serve as the basis for extracting clinically useful sentences. Future research is needed to improve the algorithms. PMID:24551389

  3. Comparison of methods of extracting information for meta-analysis of observational studies in nutritional epidemiology

    Directory of Open Access Journals (Sweden)

    Jong-Myon Bae

    2016-01-01

    Full Text Available OBJECTIVES: A common method for conducting a quantitative systematic review (QSR for observational studies related to nutritional epidemiology is the “highest versus lowest intake” method (HLM, in which only the information concerning the effect size (ES of the highest category of a food item is collected on the basis of its lowest category. However, in the interval collapsing method (ICM, a method suggested to enable a maximum utilization of all available information, the ES information is collected by collapsing all categories into a single category. This study aimed to compare the ES and summary effect size (SES between the HLM and ICM. METHODS: A QSR for evaluating the citrus fruit intake and risk of pancreatic cancer and calculating the SES by using the HLM was selected. The ES and SES were estimated by performing a meta-analysis using the fixed-effect model. The directionality and statistical significance of the ES and SES were used as criteria for determining the concordance between the HLM and ICM outcomes. RESULTS: No significant differences were observed in the directionality of SES extracted by using the HLM or ICM. The application of the ICM, which uses a broader information base, yielded more-consistent ES and SES, and narrower confidence intervals than the HLM. CONCLUSIONS: The ICM is advantageous over the HLM owing to its higher statistical accuracy in extracting information for QSR on nutritional epidemiology. The application of the ICM should hence be recommended for future studies.

  4. Motivation of first semester undergraduate students

    DEFF Research Database (Denmark)

    Schlichter, Bjarne; Sigvardsen, Kari; Jonsson, Sofia

    Purpose - The importance and development of information systems are increasing, so are the need of business students' general understanding of information systems and the function of these in businesses as well as influence on firms’ competitiveness. The aim of this study was to identify first year...... of first semester undergraduate students. Keywords -Motivation; first year undergraduate students; Management Information Systems; teaching assistants. Paper type - Research paper....... undergraduate students’ motivation and commitment towards education regarding management information system, and how student teaching assistants' attitude and qualities influence these factors. The paper is based on a case study of first year undergraduate students taking the course IT in Business as part...

  5. Evaluating effectiveness of small group information literacy instruction for Undergraduate Medical Education students using a pre- and post-survey study design.

    Science.gov (United States)

    McClurg, Caitlin; Powelson, Susan; Lang, Eddy; Aghajafari, Fariba; Edworthy, Steven

    2015-06-01

    The Undergraduate Medical Education (UME) programme at the University of Calgary is a three-year programme with a strong emphasis on small group learning. The purpose of our study was to determine whether librarian led small group information literacy instruction, closely integrated with course content and faculty participation, but without a hands on component, was an effective means to convey EBM literacy skills. Five 15-minute EBM information literacy sessions were delivered by three librarians to 12 practicing physician led small groups of 15 students. Students were asked to complete an online survey before and after the sessions. Data analysis was performed through simple descriptive statistics. A total of 144 of 160 students responded to the pre-survey, and 112 students answered the post-survey. Instruction in a small group environment without a mandatory hands on component had a positive impact on student's evidence-based information literacy skills. Students were more likely to consult a librarian and had increased confidence in their abilities to search and find relevant information. Our study demonstrates that student engagement and faculty involvement are effective tools for delivering information literacy skills when working with students in a small group setting outside of a computer classroom. © 2015 Health Libraries Group.

  6. Undergraduate Convexity

    DEFF Research Database (Denmark)

    Lauritzen, Niels

    Based on undergraduate teaching to students in computer science, economics and mathematics at Aarhus University, this is an elementary introduction to convex sets and convex functions with emphasis on concrete computations and examples. Starting from linear inequalities and Fourier-Motzkin elimin...

  7. Infrared and visual image fusion through infrared feature extraction and visual information preservation

    Science.gov (United States)

    Zhang, Yu; Zhang, Lijia; Bai, Xiangzhi; Zhang, Li

    2017-06-01

    The ideal fusion of the infrared image and visual image should integrate the important bright features of the infrared image, and preserve much original visual information of the visual image. To achieve this purpose, we propose a simple, fast yet effective infrared and visual image fusion algorithm through infrared feature extraction and visual information preservation. Firstly, we take advantage of quadtree decomposition and B e ´ zier interpolation to reconstruct the infrared background. Secondly, the infrared bright features are extracted by subtracting the reconstructed background from the infrared image and then refined by reducing the redundant background information. To inhibit the over-exposure problem, the refined infrared features are adaptively suppressed and then added on the visual image to achieve the final fusion image. In this way, the fusion image could not only reveal the invisible but important infrared objects by integrating the infrared bright features, but also show good visual quality by preserving much original visual information. Experiments performed on the commonly used image sets validate that the proposed algorithm outperforms several representative image fusion algorithms in most of the cases.

  8. An Accurate Integral Method for Vibration Signal Based on Feature Information Extraction

    Directory of Open Access Journals (Sweden)

    Yong Zhu

    2015-01-01

    Full Text Available After summarizing the advantages and disadvantages of current integral methods, a novel vibration signal integral method based on feature information extraction was proposed. This method took full advantage of the self-adaptive filter characteristic and waveform correction feature of ensemble empirical mode decomposition in dealing with nonlinear and nonstationary signals. This research merged the superiorities of kurtosis, mean square error, energy, and singular value decomposition on signal feature extraction. The values of the four indexes aforementioned were combined into a feature vector. Then, the connotative characteristic components in vibration signal were accurately extracted by Euclidean distance search, and the desired integral signals were precisely reconstructed. With this method, the interference problem of invalid signal such as trend item and noise which plague traditional methods is commendably solved. The great cumulative error from the traditional time-domain integral is effectively overcome. Moreover, the large low-frequency error from the traditional frequency-domain integral is successfully avoided. Comparing with the traditional integral methods, this method is outstanding at removing noise and retaining useful feature information and shows higher accuracy and superiority.

  9. The Feature Extraction Based on Texture Image Information for Emotion Sensing in Speech

    Directory of Open Access Journals (Sweden)

    Kun-Ching Wang

    2014-09-01

    Full Text Available In this paper, we present a novel texture image feature for Emotion Sensing in Speech (ESS. This idea is based on the fact that the texture images carry emotion-related information. The feature extraction is derived from time-frequency representation of spectrogram images. First, we transform the spectrogram as a recognizable image. Next, we use a cubic curve to enhance the image contrast. Then, the texture image information (TII derived from the spectrogram image can be extracted by using Laws’ masks to characterize emotional state. In order to evaluate the effectiveness of the proposed emotion recognition in different languages, we use two open emotional databases including the Berlin Emotional Speech Database (EMO-DB and eNTERFACE corpus and one self-recorded database (KHUSC-EmoDB, to evaluate the performance cross-corpora. The results of the proposed ESS system are presented using support vector machine (SVM as a classifier. Experimental results show that the proposed TII-based feature extraction inspired by visual perception can provide significant classification for ESS systems. The two-dimensional (2-D TII feature can provide the discrimination between different emotions in visual expressions except for the conveyance pitch and formant tracks. In addition, the de-noising in 2-D images can be more easily completed than de-noising in 1-D speech.

  10. A weighted information criterion for multiple minor components and its adaptive extraction algorithms.

    Science.gov (United States)

    Gao, Yingbin; Kong, Xiangyu; Zhang, Huihui; Hou, Li'an

    2017-05-01

    Minor component (MC) plays an important role in signal processing and data analysis, so it is a valuable work to develop MC extraction algorithms. Based on the concepts of weighted subspace and optimum theory, a weighted information criterion is proposed for searching the optimum solution of a linear neural network. This information criterion exhibits a unique global minimum attained if and only if the state matrix is composed of the desired MCs of an autocorrelation matrix of an input signal. By using gradient ascent method and recursive least square (RLS) method, two algorithms are developed for multiple MCs extraction. The global convergences of the proposed algorithms are also analyzed by the Lyapunov method. The proposed algorithms can extract the multiple MCs in parallel and has advantage in dealing with high dimension matrices. Since the weighted matrix does not require an accurate value, it facilitates the system design of the proposed algorithms for practical applications. The speed and computation advantages of the proposed algorithms are verified through simulations. Copyright © 2017 Elsevier Ltd. All rights reserved.

  11. Assessment of commercial NLP engines for medication information extraction from dictated clinical notes.

    Science.gov (United States)

    Jagannathan, V; Mullett, Charles J; Arbogast, James G; Halbritter, Kevin A; Yellapragada, Deepthi; Regulapati, Sushmitha; Bandaru, Pavani

    2009-04-01

    We assessed the current state of commercial natural language processing (NLP) engines for their ability to extract medication information from textual clinical documents. Two thousand de-identified discharge summaries and family practice notes were submitted to four commercial NLP engines with the request to extract all medication information. The four sets of returned results were combined to create a comparison standard which was validated against a manual, physician-derived gold standard created from a subset of 100 reports. Once validated, the individual vendor results for medication names, strengths, route, and frequency were compared against this automated standard with precision, recall, and F measures calculated. Compared with the manual, physician-derived gold standard, the automated standard was successful at accurately capturing medication names (F measure=93.2%), but performed less well with strength (85.3%) and route (80.3%), and relatively poorly with dosing frequency (48.3%). Moderate variability was seen in the strengths of the four vendors. The vendors performed better with the structured discharge summaries than with the clinic notes in an analysis comparing the two document types. Although automated extraction may serve as the foundation for a manual review process, it is not ready to automate medication lists without human intervention.

  12. Extracting genetic alteration information for personalized cancer therapy from ClinicalTrials.gov.

    Science.gov (United States)

    Xu, Jun; Lee, Hee-Jin; Zeng, Jia; Wu, Yonghui; Zhang, Yaoyun; Huang, Liang-Chin; Johnson, Amber; Holla, Vijaykumar; Bailey, Ann M; Cohen, Trevor; Meric-Bernstam, Funda; Bernstam, Elmer V; Xu, Hua

    2016-07-01

    Clinical trials investigating drugs that target specific genetic alterations in tumors are important for promoting personalized cancer therapy. The goal of this project is to create a knowledge base of cancer treatment trials with annotations about genetic alterations from ClinicalTrials.gov. We developed a semi-automatic framework that combines advanced text-processing techniques with manual review to curate genetic alteration information in cancer trials. The framework consists of a document classification system to identify cancer treatment trials from ClinicalTrials.gov and an information extraction system to extract gene and alteration pairs from the Title and Eligibility Criteria sections of clinical trials. By applying the framework to trials at ClinicalTrials.gov, we created a knowledge base of cancer treatment trials with genetic alteration annotations. We then evaluated each component of the framework against manually reviewed sets of clinical trials and generated descriptive statistics of the knowledge base. The automated cancer treatment trial identification system achieved a high precision of 0.9944. Together with the manual review process, it identified 20 193 cancer treatment trials from ClinicalTrials.gov. The automated gene-alteration extraction system achieved a precision of 0.8300 and a recall of 0.6803. After validation by manual review, we generated a knowledge base of 2024 cancer trials that are labeled with specific genetic alteration information. Analysis of the knowledge base revealed the trend of increased use of targeted therapy for cancer, as well as top frequent gene-alteration pairs of interest. We expect this knowledge base to be a valuable resource for physicians and patients who are seeking information about personalized cancer therapy. © The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  13. Information credibility for radiation contamination of foods after the Fukushima nuclear accident (3). Undergraduates panel data from one and four months after

    International Nuclear Information System (INIS)

    Kusumi, Takashi; Miura, Asako; Ogura, Kanayo

    2011-01-01

    We examined the changes in information credibility, attitude of mass media, and risk perception concerning radiation contamination of foods after the Fukushima nuclear accident. We used a two-wave panel data of 277 undergraduates who completed the scales twice, one month and four months after the accident. Our findings indicated that the information credibility of optimistic experts, citizens' web pages and government press conferences decreased with time. On the other hand, the credibility of newspaper and TV news programs increased. In addition, while the critical attitude of mass media and the knowledge of radiation health effects increased after four months, the risk perception for foods under legal limits of radiation contamination decreased. A causal analysis carried out with the panel data found that (1) critical thinking attitude affected media literacy. In turn, (2) media literacy affected bias perception of mass media, information credibility, active information search, and risk perception of contamination foods. Finally, (3) this causal relationship was constant from the first to the fourth month after the accident. (author)

  14. System architecture for temporal information extraction, representation and reasoning in clinical narrative reports.

    Science.gov (United States)

    Zhou, Li; Friedman, Carol; Parsons, Simon; Hripcsak, George

    2005-01-01

    Exploring temporal information in narrative Electronic Medical Records (EMRs) is essential and challenging. We propose an architecture for an integrated approach to process temporal information in clinical narrative reports. The goal is to initiate and build a foundation that supports applications which assist healthcare practice and research by including the ability to determine the time of clinical events (e.g., past vs. present). Key components include: (1) an annotation schema for temporal expressions and the development of an associated tagger; (2) a natural language processing (NLP) system for encoding and extracting medical events and associating them with formalized temporal data; (3) a post-processor, with a knowledge-based subsystem to help discover implicit information, that resolves temporal expressions and deals with issues such as granularity and vagueness; and (4) a reasoning mechanism which models clinical reports as Simple Temporal Problems (STPs).

  15. Knowledge Author: facilitating user-driven, domain content development to support clinical information extraction.

    Science.gov (United States)

    Scuba, William; Tharp, Melissa; Mowery, Danielle; Tseytlin, Eugene; Liu, Yang; Drews, Frank A; Chapman, Wendy W

    2016-06-23

    Clinical Natural Language Processing (NLP) systems require a semantic schema comprised of domain-specific concepts, their lexical variants, and associated modifiers to accurately extract information from clinical texts. An NLP system leverages this schema to structure concepts and extract meaning from the free texts. In the clinical domain, creating a semantic schema typically requires input from both a domain expert, such as a clinician, and an NLP expert who will represent clinical concepts created from the clinician's domain expertise into a computable format usable by an NLP system. The goal of this work is to develop a web-based tool, Knowledge Author, that bridges the gap between the clinical domain expert and the NLP system development by facilitating the development of domain content represented in a semantic schema for extracting information from clinical free-text. Knowledge Author is a web-based, recommendation system that supports users in developing domain content necessary for clinical NLP applications. Knowledge Author's schematic model leverages a set of semantic types derived from the Secondary Use Clinical Element Models and the Common Type System to allow the user to quickly create and modify domain-related concepts. Features such as collaborative development and providing domain content suggestions through the mapping of concepts to the Unified Medical Language System Metathesaurus database further supports the domain content creation process. Two proof of concept studies were performed to evaluate the system's performance. The first study evaluated Knowledge Author's flexibility to create a broad range of concepts. A dataset of 115 concepts was created of which 87 (76 %) were able to be created using Knowledge Author. The second study evaluated the effectiveness of Knowledge Author's output in an NLP system by extracting concepts and associated modifiers representing a clinical element, carotid stenosis, from 34 clinical free-text radiology

  16. THE EXTRACTION OF INDOOR BUILDING INFORMATION FROM BIM TO OGC INDOORGML

    Directory of Open Access Journals (Sweden)

    T.-A. Teo

    2017-07-01

    Full Text Available Indoor Spatial Data Infrastructure (indoor-SDI is an important SDI for geosptial analysis and location-based services. Building Information Model (BIM has high degree of details in geometric and semantic information for building. This study proposed direct conversion schemes to extract indoor building information from BIM to OGC IndoorGML. The major steps of the research include (1 topological conversion from building model into indoor network model; and (2 generation of IndoorGML. The topological conversion is a major process of generating and mapping nodes and edges from IFC to indoorGML. Node represents every space (e.g. IfcSpace and objects (e.g. IfcDoor in the building while edge shows the relationships between nodes. According to the definition of IndoorGML, the topological model in the dual space is also represented as a set of nodes and edges. These definitions of IndoorGML are the same as in the indoor network. Therefore, we can extract the necessary data in the indoor network and easily convert them into IndoorGML based on IndoorGML Schema. The experiment utilized a real BIM model to examine the proposed method. The experimental results indicated that the 3D indoor model (i.e. IndoorGML model can be automatically imported from IFC model by the proposed procedure. In addition, the geometric and attribute of building elements are completely and correctly converted from BIM to indoor-SDI.

  17. Information extraction approaches to unconventional data sources for "Injury Surveillance System": the case of newspapers clippings.

    Science.gov (United States)

    Berchialla, Paola; Scarinzi, Cecilia; Snidero, Silvia; Rahim, Yousif; Gregori, Dario

    2012-04-01

    Injury Surveillance Systems based on traditional hospital records or clinical data have the advantage of being a well established, highly reliable source of information for making an active surveillance on specific injuries, like choking in children. However, they suffer the drawback of delays in making data available to the analysis, due to inefficiencies in data collection procedures. In this sense, the integration of clinical based registries with unconventional data sources like newspaper articles has the advantage of making the system more useful for early alerting. Usage of such sources is difficult since information is only available in the form of free natural-language documents rather than structured databases as required by traditional data mining techniques. Information Extraction (IE) addresses the problem of transforming a corpus of textual documents into a more structured database. In this paper, on a corpora of Italian newspapers articles related to choking in children due to ingestion/inhalation of foreign body we compared the performance of three IE algorithms- (a) a classical rule based system which requires a manual annotation of the rules; (ii) a rule based system which allows for the automatic building of rules; (b) a machine learning method based on Support Vector Machine. Although some useful indications are extracted from the newspaper clippings, this approach is at the time far from being routinely implemented for injury surveillance purposes.

  18. Automated DICOM metadata and volumetric anatomical information extraction for radiation dosimetry

    Science.gov (United States)

    Papamichail, D.; Ploussi, A.; Kordolaimi, S.; Karavasilis, E.; Papadimitroulas, P.; Syrgiamiotis, V.; Efstathopoulos, E.

    2015-09-01

    Patient-specific dosimetry calculations based on simulation techniques have as a prerequisite the modeling of the modality system and the creation of voxelized phantoms. This procedure requires the knowledge of scanning parameters and patients’ information included in a DICOM file as well as image segmentation. However, the extraction of this information is complicated and time-consuming. The objective of this study was to develop a simple graphical user interface (GUI) to (i) automatically extract metadata from every slice image of a DICOM file in a single query and (ii) interactively specify the regions of interest (ROI) without explicit access to the radiology information system. The user-friendly application developed in Matlab environment. The user can select a series of DICOM files and manage their text and graphical data. The metadata are automatically formatted and presented to the user as a Microsoft Excel file. The volumetric maps are formed by interactively specifying the ROIs and by assigning a specific value in every ROI. The result is stored in DICOM format, for data and trend analysis. The developed GUI is easy, fast and and constitutes a very useful tool for individualized dosimetry. One of the future goals is to incorporate a remote access to a PACS server functionality.

  19. Undergraduate Convexity

    DEFF Research Database (Denmark)

    Lauritzen, Niels

    Based on undergraduate teaching to students in computer science, economics and mathematics at Aarhus University, this is an elementary introduction to convex sets and convex functions with emphasis on concrete computations and examples. Starting from linear inequalities and Fourier-Motzkin elimin......Based on undergraduate teaching to students in computer science, economics and mathematics at Aarhus University, this is an elementary introduction to convex sets and convex functions with emphasis on concrete computations and examples. Starting from linear inequalities and Fourier......-Motzkin elimination, the theory is developed by introducing polyhedra, the double description method and the simplex algorithm, closed convex subsets, convex functions of one and several variables ending with a chapter on convex optimization with the Karush-Kuhn-Tucker conditions, duality and an interior point...... algorithm....

  20. Accurate facade feature extraction method for buildings from three-dimensional point cloud data considering structural information

    Science.gov (United States)

    Wang, Yongzhi; Ma, Yuqing; Zhu, A.-xing; Zhao, Hui; Liao, Lixia

    2018-05-01

    Facade features represent segmentations of building surfaces and can serve as a building framework. Extracting facade features from three-dimensional (3D) point cloud data (3D PCD) is an efficient method for 3D building modeling. By combining the advantages of 3D PCD and two-dimensional optical images, this study describes the creation of a highly accurate building facade feature extraction method from 3D PCD with a focus on structural information. The new extraction method involves three major steps: image feature extraction, exploration of the mapping method between the image features and 3D PCD, and optimization of the initial 3D PCD facade features considering structural information. Results show that the new method can extract the 3D PCD facade features of buildings more accurately and continuously. The new method is validated using a case study. In addition, the effectiveness of the new method is demonstrated by comparing it with the range image-extraction method and the optical image-extraction method in the absence of structural information. The 3D PCD facade features extracted by the new method can be applied in many fields, such as 3D building modeling and building information modeling.

  1. Extracting Low-Frequency Information from Time Attenuation in Elastic Waveform Inversion

    Science.gov (United States)

    Guo, Xuebao; Liu, Hong; Shi, Ying; Wang, Weihong

    2017-03-01

    Low-frequency information is crucial for recovering background velocity, but the lack of low-frequency information in field data makes inversion impractical without accurate initial models. Laplace-Fourier domain waveform inversion can recover a smooth model from real data without low-frequency information, which can be used for subsequent inversion as an ideal starting model. In general, it also starts with low frequencies and includes higher frequencies at later inversion stages, while the difference is that its ultralow frequency information comes from the Laplace-Fourier domain. Meanwhile, a direct implementation of the Laplace-transformed wavefield using frequency domain inversion is also very convenient. However, because broad frequency bands are often used in the pure time domain waveform inversion, it is difficult to extract the wavefields dominated by low frequencies in this case. In this paper, low-frequency components are constructed by introducing time attenuation into the recorded residuals, and the rest of the method is identical to the traditional time domain inversion. Time windowing and frequency filtering are also applied to mitigate the ambiguity of the inverse problem. Therefore, we can start at low frequencies and to move to higher frequencies. The experiment shows that the proposed method can achieve a good inversion result in the presence of a linear initial model and records without low-frequency information.

  2. DEVELOPMENT OF AUTOMATIC EXTRACTION METHOD FOR ROAD UPDATE INFORMATION BASED ON PUBLIC WORK ORDER OUTLOOK

    Science.gov (United States)

    Sekimoto, Yoshihide; Nakajo, Satoru; Minami, Yoshitaka; Yamaguchi, Syohei; Yamada, Harutoshi; Fuse, Takashi

    Recently, disclosure of statistic data, representing financial effects or burden for public work, through each web site of national or local government, enables us to discuss macroscopic financial trends. However, it is still difficult to grasp a basic property nationwide how each spot was changed by public work. In this research, our research purpose is to collect road update information reasonably which various road managers provide, in order to realize efficient updating of various maps such as car navigation maps. In particular, we develop the system extracting public work concerned and registering summary including position information to database automatically from public work order outlook, released by each local government, combinating some web mining technologies. Finally, we collect and register several tens of thousands from web site all over Japan, and confirm the feasibility of our method.

  3. Audio-Visual Speech Recognition Using Lip Information Extracted from Side-Face Images

    Directory of Open Access Journals (Sweden)

    Koji Iwano

    2007-03-01

    Full Text Available This paper proposes an audio-visual speech recognition method using lip information extracted from side-face images as an attempt to increase noise robustness in mobile environments. Our proposed method assumes that lip images can be captured using a small camera installed in a handset. Two different kinds of lip features, lip-contour geometric features and lip-motion velocity features, are used individually or jointly, in combination with audio features. Phoneme HMMs modeling the audio and visual features are built based on the multistream HMM technique. Experiments conducted using Japanese connected digit speech contaminated with white noise in various SNR conditions show effectiveness of the proposed method. Recognition accuracy is improved by using the visual information in all SNR conditions. These visual features were confirmed to be effective even when the audio HMM was adapted to noise by the MLLR method.

  4. Approaching the largest ‘API’: extracting information from the Internet with Python

    Directory of Open Access Journals (Sweden)

    Jonathan E. Germann

    2018-02-01

    Full Text Available This article explores the need for libraries to algorithmically access and manipulate the world’s largest API: the Internet. The billions of pages on the ‘Internet API’ (HTTP, HTML, CSS, XPath, DOM, etc. are easily accessible and manipulable. Libraries can assist in creating meaning through the datafication of information on the world wide web. Because most information is created for human consumption, some programming is required for automated extraction. Python is an easy-to-learn programming language with extensive packages and community support for web page automation. Four packages (Urllib, Selenium, BeautifulSoup, Scrapy in Python can automate almost any web page for all sized projects. An example warrant data project is explained to illustrate how well Python packages can manipulate web pages to create meaning through assembling custom datasets.

  5. EXTRACTING URBAN GROUND OBJECT INFORMATION FROM IMAGES AND LiDAR DATA

    Directory of Open Access Journals (Sweden)

    L. Yi

    2016-06-01

    Full Text Available To deal with the problem of urban ground object information extraction, the paper proposes an object-oriented classification method using aerial image and LiDAR data. Firstly, we select the optimal segmentation scales of different ground objects and synthesize them to get accurate object boundaries. Then, this paper uses ReliefF algorithm to select the optimal feature combination and eliminate the Hughes phenomenon. Eventually, the multiple classifier combination method is applied to get the outcome of the classification. In order to validate the feasible of this method, this paper selects two experimental regions in Stuttgart and Germany (Region A and B, covers 0.21 km2 and 1.1 km2 respectively. The aim of the first experiment on the Region A is to get the optimal segmentation scales and classification features. The overall accuracy of the classification reaches to 93.3 %. The purpose of the experiment on region B is to validate the application-ability of this method for a large area, which is turned out to be reaches 88.4 % overall accuracy. In the end of this paper, the conclusion shows that the proposed method can be performed accurately and efficiently in terms of urban ground information extraction and be of high application value.

  6. Geopositioning with a quadcopter: Extracted feature locations and predicted accuracy without a priori sensor attitude information

    Science.gov (United States)

    Dolloff, John; Hottel, Bryant; Edwards, David; Theiss, Henry; Braun, Aaron

    2017-05-01

    This paper presents an overview of the Full Motion Video-Geopositioning Test Bed (FMV-GTB) developed to investigate algorithm performance and issues related to the registration of motion imagery and subsequent extraction of feature locations along with predicted accuracy. A case study is included corresponding to a video taken from a quadcopter. Registration of the corresponding video frames is performed without the benefit of a priori sensor attitude (pointing) information. In particular, tie points are automatically measured between adjacent frames using standard optical flow matching techniques from computer vision, an a priori estimate of sensor attitude is then computed based on supplied GPS sensor positions contained in the video metadata and a photogrammetric/search-based structure from motion algorithm, and then a Weighted Least Squares adjustment of all a priori metadata across the frames is performed. Extraction of absolute 3D feature locations, including their predicted accuracy based on the principles of rigorous error propagation, is then performed using a subset of the registered frames. Results are compared to known locations (check points) over a test site. Throughout this entire process, no external control information (e.g. surveyed points) is used other than for evaluation of solution errors and corresponding accuracy.

  7. An evaluation of the effectiveness of information literacy training for undergraduate midwives to improve their ability to access evidence for practice.

    LENUS (Irish Health Repository)

    Lalor, Joan G

    2012-09-01

    Several authors have suggested that computer skills should be taught within the undergraduate curriculum. In this paper, the focus is mainly on the results of an examination of midwifery students\\' search strategy in response to a specific question undertaken before and after training session in the first, second and third years of the undergraduate programme.

  8. Constructive alignment of a research-informed teaching activity within an undergraduate diagnostic radiography curriculum : a reflection

    OpenAIRE

    Higgins, RN; Hogg, P; Robinson, L

    2016-01-01

    Aim: To evaluate the learning experience of a level 5 (year 2) student cohort within a research-informed teaching (RiT) activity and to map findings against learning outcomes and level descriptors using constructive alignment. \\ud \\ud Method: An online questionnaire was used to explore the level 5 student experience of a Research-informed Teaching (RiT) activity. Responses were retrospectively mapped against Framework for Higher Education Qualifications (FHEQ) level descriptors for level 5 us...

  9. Evidence from Students’ Information Seeking Diaries Underscores the Importance of Including Librarians in Undergraduate Education. A Review of: Lee, J. Y., Paik, W., & Joo, S. (2012. Information resource selection of undergraduate students in academic search tasks. Information Research, 17(1, paper511. Retrieved 8 Aug., 2012 from http://informationr.net/ir/17-1/paper511.html

    Directory of Open Access Journals (Sweden)

    Maria Melssen

    2012-12-01

    Full Text Available Objective – To determine what informationresources undergraduate students choose tocomplete assignments for their courses, whythey choose those resources, the process ofselecting those resources and the factors thatcontributed to selecting the resources, andtheir perceptions of those resources.Design – Semi-structured information seekingdiary.Setting – Private university in Seoul, Korea.Subjects – 233 undergraduate students fromall majors and all years.Methods – Students selected one assignmentfrom their elective course and recorded thefollowing in a diary: what the assignment was,the topic they needed to research to completethe assignment, resources used, the factors thatcontributed to choosing the resources, andperceptions of those resources.Main Results – Data were analyzed bothqualitatively and quantitatively. The factorsthat affected the students’ resource selectionwere analyzed qualitatively using an opencoding method created by the researchers. Thefactors were not predetermined by theresearchers, but were selected based on thefactors identified by the students. Onlineresources (67.1% were the most frequentlyselected resources by the students compared tohuman resources (11.5%, print materials (11.5%, and mass media (3%. Students used an average of 5.28 resources to complete one assignment. Factors that affected the students’ selection of resources were the type of information provided by the resource, the features of the resource, the search strategy used when searching in the resource, and the students’ interaction with other people when selecting and using the resource. More than one factor typically contributed to the students’ selection of the resource. The students’ perceptions of the resources they selected were analyzed quantitatively: perceptions were analyzed in six content areas using a five point scale. Correlations and similarities across the six content areas were also analyzed. Perceptions of resources

  10. Zone analysis in biology articles as a basis for information extraction.

    Science.gov (United States)

    Mizuta, Yoko; Korhonen, Anna; Mullen, Tony; Collier, Nigel

    2006-06-01

    In the field of biomedicine, an overwhelming amount of experimental data has become available as a result of the high throughput of research in this domain. The amount of results reported has now grown beyond the limits of what can be managed by manual means. This makes it increasingly difficult for the researchers in this area to keep up with the latest developments. Information extraction (IE) in the biological domain aims to provide an effective automatic means to dynamically manage the information contained in archived journal articles and abstract collections and thus help researchers in their work. However, while considerable advances have been made in certain areas of IE, pinpointing and organizing factual information (such as experimental results) remains a challenge. In this paper we propose tackling this task by incorporating into IE information about rhetorical zones, i.e. classification of spans of text in terms of argumentation and intellectual attribution. As the first step towards this goal, we introduce a scheme for annotating biological texts for rhetorical zones and provide a qualitative and quantitative analysis of the data annotated according to this scheme. We also discuss our preliminary research on automatic zone analysis, and its incorporation into our IE framework.

  11. Establishing the Basis for a CIS (Computer Information Systems) Undergraduate Program: On Seeking the Body of Knowledge

    Science.gov (United States)

    Longenecker, Herbert E., Jr.; Babb, Jeffry; Waguespack, Leslie J.; Janicki, Thomas N.; Feinstein, David

    2015-01-01

    The evolution of computing education spans a spectrum from "computer science" ("CS") grounded in the theory of computing, to "information systems" ("IS"), grounded in the organizational application of data processing. This paper reports on a project focusing on a particular slice of that spectrum commonly…

  12. Information and Communication Technology Skills of Students Using the Distant Education Management System to Complete Their Theology Undergraduate Education

    Science.gov (United States)

    Yalman, Murat; Basaran, Bulent; Gonen, Selehattin

    2016-01-01

    Considering several variables, the present study aimed at examining the information and communication technology skills of university students taking their courses with the distant education system. In the study, the singular and relational survey model, one of general survey models, was used. The research sample was made up of 381 students…

  13. Undergraduate Biocuration: Developing Tomorrow's Researchers While Mining Today's Data.

    Science.gov (United States)

    Mitchell, Cassie S; Cates, Ashlyn; Kim, Renaid B; Hollinger, Sabrina K

    2015-01-01

    Biocuration is a time-intensive process that involves extraction, transcription, and organization of biological or clinical data from disjointed data sets into a user-friendly database. Curated data is subsequently used primarily for text mining or informatics analysis (bioinformatics, neuroinformatics, health informatics, etc.) and secondarily as a researcher resource. Biocuration is traditionally considered a Ph.D. level task, but a massive shortage of curators to consolidate the ever-mounting biomedical "big data" opens the possibility of utilizing biocuration as a means to mine today's data while teaching students skill sets they can utilize in any career. By developing a biocuration assembly line of simplified and compartmentalized tasks, we have enabled biocuration to be effectively performed by a hierarchy of undergraduate students. We summarize the necessary physical resources, process for establishing a data path, biocuration workflow, and undergraduate hierarchy of curation, technical, information technology (IT), quality control and managerial positions. We detail the undergraduate application and training processes and give detailed job descriptions for each position on the assembly line. We present case studies of neuropathology curation performed entirely by undergraduates, namely the construction of experimental databases of Amyotrophic Lateral Sclerosis (ALS) transgenic mouse models and clinical data from ALS patient records. Our results reveal undergraduate biocuration is scalable for a group of 8-50+ with relatively minimal required resources. Moreover, with average accuracy rates greater than 98.8%, undergraduate biocurators are equivalently accurate to their professional counterparts. Initial training to be completely proficient at the entry-level takes about five weeks with a minimal student time commitment of four hours/week.

  14. Automated Information Extraction on Treatment and Prognosis for Non-Small Cell Lung Cancer Radiotherapy Patients: Clinical Study.

    Science.gov (United States)

    Zheng, Shuai; Jabbour, Salma K; O'Reilly, Shannon E; Lu, James J; Dong, Lihua; Ding, Lijuan; Xiao, Ying; Yue, Ning; Wang, Fusheng; Zou, Wei

    2018-02-01

    In outcome studies of oncology patients undergoing radiation, researchers extract valuable information from medical records generated before, during, and after radiotherapy visits, such as survival data, toxicities, and complications. Clinical studies rely heavily on these data to correlate the treatment regimen with the prognosis to develop evidence-based radiation therapy paradigms. These data are available mainly in forms of narrative texts or table formats with heterogeneous vocabularies. Manual extraction of the related information from these data can be time consuming and labor intensive, which is not ideal for large studies. The objective of this study was to adapt the interactive information extraction platform Information and Data Extraction using Adaptive Learning (IDEAL-X) to extract treatment and prognosis data for patients with locally advanced or inoperable non-small cell lung cancer (NSCLC). We transformed patient treatment and prognosis documents into normalized structured forms using the IDEAL-X system for easy data navigation. The adaptive learning and user-customized controlled toxicity vocabularies were applied to extract categorized treatment and prognosis data, so as to generate structured output. In total, we extracted data from 261 treatment and prognosis documents relating to 50 patients, with overall precision and recall more than 93% and 83%, respectively. For toxicity information extractions, which are important to study patient posttreatment side effects and quality of life, the precision and recall achieved 95.7% and 94.5% respectively. The IDEAL-X system is capable of extracting study data regarding NSCLC chemoradiation patients with significant accuracy and effectiveness, and therefore can be used in large-scale radiotherapy clinical data studies. ©Shuai Zheng, Salma K Jabbour, Shannon E O'Reilly, James J Lu, Lihua Dong, Lijuan Ding, Ying Xiao, Ning Yue, Fusheng Wang, Wei Zou. Originally published in JMIR Medical Informatics (http

  15. EXTRACTING TEMPORAL AND SPATIAL DISTRIBUTIONS INFORMATION ABOUT ALGAL GLOOMS BASED ON MULTITEMPORAL MODIS

    Directory of Open Access Journals (Sweden)

    L. Chunguang

    2012-07-01

    Full Text Available Based on MODIS remote sensing data, method and technology to extraction the time and space distribution information of algae bloom is studied and established. The dynamic feature of time and space in Taihu Lake from 2009 to 2011 can be obtained by extracted method. Variation of cyanobacterial bloom in the Taihu Lake is analyzed and discussed. The algae bloom frequency index (AFI and algae bloom sustainability index (ASI is important criterion which can show the interannual and inter-monthly variation in the whole area or the subregion of Taihu Lake. Utilizing the AFI and ASI from 2009 to 2011, it found some phenomena that: the booming frequency decreased from the north and west to the East and South of Taihu Lake. The annual month algae bloom variation of AFI reflect the booming existing twin peaks in the high shock level and lag trend in general. In the subregion statistics, the IBD and ASI in 2011 show the abnormal condition in the border between the Gongshan Bay and Central Lake. The date is obvious earlier than that on the same subregion in previous years and that on others subregion in the same year.

  16. Enriching a document collection by integrating information extraction and PDF annotation

    Science.gov (United States)

    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.

  17. Videomicroscopic extraction of specific information on cell proliferation and migration in vitro

    International Nuclear Information System (INIS)

    Debeir, Olivier; Megalizzi, Veronique; Warzee, Nadine; Kiss, Robert; Decaestecker, Christine

    2008-01-01

    In vitro cell imaging is a useful exploratory tool for cell behavior monitoring with a wide range of applications in cell biology and pharmacology. Combined with appropriate image analysis techniques, this approach has been shown to provide useful information on the detection and dynamic analysis of cell events. In this context, numerous efforts have been focused on cell migration analysis. In contrast, the cell division process has been the subject of fewer investigations. The present work focuses on this latter aspect and shows that, in complement to cell migration data, interesting information related to cell division can be extracted from phase-contrast time-lapse image series, in particular cell division duration, which is not provided by standard cell assays using endpoint analyses. We illustrate our approach by analyzing the effects induced by two sigma-1 receptor ligands (haloperidol and 4-IBP) on the behavior of two glioma cell lines using two in vitro cell models, i.e., the low-density individual cell model and the high-density scratch wound model. This illustration also shows that the data provided by our approach are suggestive as to the mechanism of action of compounds, and are thus capable of informing the appropriate selection of further time-consuming and more expensive biological evaluations required to elucidate a mechanism

  18. Feature extraction and learning using context cue and Rényi entropy based mutual information

    DEFF Research Database (Denmark)

    Pan, Hong; Olsen, Søren Ingvor; Zhu, Yaping

    2015-01-01

    Feature extraction and learning play a critical role for visual perception tasks. We focus on improving the robustness of the kernel descriptors (KDES) by embedding context cues and further learning a compact and discriminative feature codebook for feature reduction using Rényi entropy based mutu....... Experimental results show that our method has promising potential for visual object recognition and detection applications....... as the information about the underlying labels of the CKD using CSQMI. Thus the resulting codebook and reduced CKD are discriminative. We verify the effectiveness of our method on several public image benchmark datasets such as YaleB, Caltech-101 and CIFAR-10, as well as a challenging chicken feet dataset of our own...

  19. Metaproteomics: extracting and mining proteome information to characterize metabolic activities in microbial communities

    Energy Technology Data Exchange (ETDEWEB)

    Abraham, Paul E [ORNL; Giannone, Richard J [ORNL; Xiong, Weili [ORNL; Hettich, Robert {Bob} L [ORNL

    2014-01-01

    Contemporary microbial ecology studies usually employ one or more omics approaches to investigate the structure and function of microbial communities. Among these, metaproteomics aims to characterize the metabolic activities of the microbial membership, providing a direct link between the genetic potential and functional metabolism. The successful deployment of metaproteomics research depends on the integration of high-quality experimental and bioinformatic techniques for uncovering the metabolic activities of a microbial community in a way that is complementary to other meta-omic approaches. The essential, quality-defining informatics steps in metaproteomics investigations are: (1) construction of the metagenome, (2) functional annotation of predicted protein-coding genes, (3) protein database searching, (4) protein inference, and (5) extraction of metabolic information. In this article, we provide an overview of current bioinformatic approaches and software implementations in metaproteome studies in order to highlight the key considerations needed for successful implementation of this powerful community-biology tool.

  20. Developing a Process Model for the Forensic Extraction of Information from Desktop Search Applications

    Directory of Open Access Journals (Sweden)

    Timothy Pavlic

    2008-03-01

    Full Text Available Desktop search applications can contain cached copies of files that were deleted from the file system. Forensic investigators see this as a potential source of evidence, as documents deleted by suspects may still exist in the cache. Whilst there have been attempts at recovering data collected by desktop search applications, there is no methodology governing the process, nor discussion on the most appropriate means to do so. This article seeks to address this issue by developing a process model that can be applied when developing an information extraction application for desktop search applications, discussing preferred methods and the limitations of each. This work represents a more structured approach than other forms of current research.

  1. 5W1H Information Extraction with CNN-Bidirectional LSTM

    Science.gov (United States)

    Nurdin, A.; Maulidevi, N. U.

    2018-03-01

    In this work, information about who, did what, when, where, why, and how on Indonesian news articles were extracted by combining Convolutional Neural Network and Bidirectional Long Short-Term Memory. Convolutional Neural Network can learn semantically meaningful representations of sentences. Bidirectional LSTM can analyze the relations among words in the sequence. We also use word embedding word2vec for word representation. By combining these algorithms, we obtained F-measure 0.808. Our experiments show that CNN-BLSTM outperforms other shallow methods, namely IBk, C4.5, and Naïve Bayes with the F-measure 0.655, 0.645, and 0.595, respectively.

  2. 3D information extraction based on a novel x ray imaging system

    Science.gov (United States)

    Yu, Chunyu; Kong, Lingli; Zhang, Junju; Zhang, Shengdong

    2011-08-01

    In this paper, a novel x-ray imaging system was introduced. It was a CCD based system, but different from the traditional CCD based x-ray imaging system, which was composed of the x-ray intensifying screen, the CCD and the low light level image intensifier, specially using the zoom lens for coupling. Zoom lens can give a continuous variable visual field, which not only reduce the geometrical blur but also can produce several image pairs for stereo imaging. It is convenient for three dimension information extraction from a group of two dimension x-ray images and is valuable for stereovision radiography in the application of medical diagnosis, security checking, non-destructive testing, and industry detection. This stereo imaging method is also referential for the three dimension reconstruction daily living.

  3. Quantitative evaluation of translational medicine based on scientometric analysis and information extraction.

    Science.gov (United States)

    Zhang, Yin; Diao, Tianxi; Wang, Lei

    2014-12-01

    Designed to advance the two-way translational process between basic research and clinical practice, translational medicine has become one of the most important areas in biomedicine. The quantitative evaluation of translational medicine is valuable for the decision making of global translational medical research and funding. Using the scientometric analysis and information extraction techniques, this study quantitatively analyzed the scientific articles on translational medicine. The results showed that translational medicine had significant scientific output and impact, specific core field and institute, and outstanding academic status and benefit. While it is not considered in this study, the patent data are another important indicators that should be integrated in the relevant research in the future. © 2014 Wiley Periodicals, Inc.

  4. EnvMine: A text-mining system for the automatic extraction of contextual information

    Directory of Open Access Journals (Sweden)

    de Lorenzo Victor

    2010-06-01

    Full Text Available Abstract Background For ecological studies, it is crucial to count on adequate descriptions of the environments and samples being studied. Such a description must be done in terms of their physicochemical characteristics, allowing a direct comparison between different environments that would be difficult to do otherwise. Also the characterization must include the precise geographical location, to make possible the study of geographical distributions and biogeographical patterns. Currently, there is no schema for annotating these environmental features, and these data have to be extracted from textual sources (published articles. So far, this had to be performed by manual inspection of the corresponding documents. To facilitate this task, we have developed EnvMine, a set of text-mining tools devoted to retrieve contextual information (physicochemical variables and geographical locations from textual sources of any kind. Results EnvMine is capable of retrieving the physicochemical variables cited in the text, by means of the accurate identification of their associated units of measurement. In this task, the system achieves a recall (percentage of items retrieved of 92% with less than 1% error. Also a Bayesian classifier was tested for distinguishing parts of the text describing environmental characteristics from others dealing with, for instance, experimental settings. Regarding the identification of geographical locations, the system takes advantage of existing databases such as GeoNames to achieve 86% recall with 92% precision. The identification of a location includes also the determination of its exact coordinates (latitude and longitude, thus allowing the calculation of distance between the individual locations. Conclusion EnvMine is a very efficient method for extracting contextual information from different text sources, like published articles or web pages. This tool can help in determining the precise location and physicochemical

  5. On-line integration of computer controlled diagnostic devices and medical information systems in undergraduate medical physics education for physicians.

    Science.gov (United States)

    Hanus, Josef; Nosek, Tomas; Zahora, Jiri; Bezrouk, Ales; Masin, Vladimir

    2013-01-01

    We designed and evaluated an innovative computer-aided-learning environment based on the on-line integration of computer controlled medical diagnostic devices and a medical information system for use in the preclinical medical physics education of medical students. Our learning system simulates the actual clinical environment in a hospital or primary care unit. It uses a commercial medical information system for on-line storage and processing of clinical type data acquired during physics laboratory classes. Every student adopts two roles, the role of 'patient' and the role of 'physician'. As a 'physician' the student operates the medical devices to clinically assess 'patient' colleagues and records all results in an electronic 'patient' record. We also introduced an innovative approach to the use of supportive education materials, based on the methods of adaptive e-learning. A survey of student feedback is included and statistically evaluated. The results from the student feedback confirm the positive response of the latter to this novel implementation of medical physics and informatics in preclinical education. This approach not only significantly improves learning of medical physics and informatics skills but has the added advantage that it facilitates students' transition from preclinical to clinical subjects. Copyright © 2011 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

  6. Constructive alignment of a research-informed teaching activity within an undergraduate diagnostic radiography curriculum: A reflection.

    Science.gov (United States)

    Higgins, R; Hogg, P; Robinson, L

    2017-09-01

    To evaluate the learning experience of a level 5 (year 2) student cohort within a research-informed teaching (RiT) activity and to map findings against learning outcomes and level descriptors using constructive alignment. An online questionnaire was used to explore the level 5 student experience of a Research-informed Teaching (RiT) activity. Responses were retrospectively mapped against Framework for Higher Education Qualifications (FHEQ) level descriptors for level 5 using constructive alignment. Thirty one out of 46 level 5 students completed the questionnaire (67% response rate). Analysis of the questionnaire supported the integration of this RiT activity within the curriculum in terms of learning and research skill development by students. However, it was identified that this activity could be revised further to better align with level 5 descriptors and incorporate additional higher level cognitive processes. Learning outcomes for this RiT activity were constructively aligned with FHEQ level 5 descriptors. Recommendations are provided on how these could be further refined to ensure students undertake a more critical approach to the application of theory into practice. Discussion also considers how this process could be used to develop a similar RiT activity at level 6 (year 3). Copyright © 2016 The College of Radiographers. Published by Elsevier Ltd. All rights reserved.

  7. Extracting contextual information in digital imagery: applications to automatic target recognition and mammography

    Science.gov (United States)

    Spence, Clay D.; Sajda, Paul; Pearson, John C.

    1996-02-01

    An important problem in image analysis is finding small objects in large images. The problem is challenging because (1) searching a large image is computationally expensive, and (2) small targets (on the order of a few pixels in size) have relatively few distinctive features which enable them to be distinguished from non-targets. To overcome these challenges we have developed a hierarchical neural network (HNN) architecture which combines multi-resolution pyramid processing with neural networks. The advantages of the architecture are: (1) both neural network training and testing can be done efficiently through coarse-to-fine techniques, and (2) such a system is capable of learning low-resolution contextual information to facilitate the detection of small target objects. We have applied this neural network architecture to two problems in which contextual information appears to be important for detecting small targets. The first problem is one of automatic target recognition (ATR), specifically the problem of detecting buildings in aerial photographs. The second problem focuses on a medical application, namely searching mammograms for microcalcifications, which are cues for breast cancer. Receiver operating characteristic (ROC) analysis suggests that the hierarchical architecture improves the detection accuracy for both the ATR and microcalcification detection problems, reducing false positive rates by a significant factor. In addition, we have examined the hidden units at various levels of the processing hierarchy and found what appears to be representations of road location (for the ATR example) and ductal/vasculature location (for mammography), both of which are in agreement with the contextual information used by humans to find these classes of targets. We conclude that this hierarchical neural network architecture is able to automatically extract contextual information in imagery and utilize it for target detection.

  8. How to Mine Information from Each Instance to Extract an Abbreviated and Credible Logical Rule

    Directory of Open Access Journals (Sweden)

    Limin Wang

    2014-10-01

    Full Text Available Decision trees are particularly promising in symbolic representation and reasoning due to their comprehensible nature, which resembles the hierarchical process of human decision making. However, their drawbacks, caused by the single-tree structure,cannot be ignored. A rigid decision path may cause the majority class to overwhelm otherclass when dealing with imbalanced data sets, and pruning removes not only superfluousnodes, but also subtrees. The proposed learning algorithm, flexible hybrid decision forest(FHDF, mines information implicated in each instance to form logical rules on the basis of a chain rule of local mutual information, then forms different decision tree structures and decision forests later. The most credible decision path from the decision forest can be selected to make a prediction. Furthermore, functional dependencies (FDs, which are extracted from the whole data set based on association rule analysis, perform embedded attribute selection to remove nodes rather than subtrees, thus helping to achieve different levels of knowledge representation and improve model comprehension in the framework of semi-supervised learning. Naive Bayes replaces the leaf nodes at the bottom of the tree hierarchy, where the conditional independence assumption may hold. This technique reduces the potential for overfitting and overtraining and improves the prediction quality and generalization. Experimental results on UCI data sets demonstrate the efficacy of the proposed approach.

  9. Unsupervised Symbolization of Signal Time Series for Extraction of the Embedded Information

    Directory of Open Access Journals (Sweden)

    Yue Li

    2017-03-01

    Full Text Available This paper formulates an unsupervised algorithm for symbolization of signal time series to capture the embedded dynamic behavior. The key idea is to convert time series of the digital signal into a string of (spatially discrete symbols from which the embedded dynamic information can be extracted in an unsupervised manner (i.e., no requirement for labeling of time series. The main challenges here are: (1 definition of the symbol assignment for the time series; (2 identification of the partitioning segment locations in the signal space of time series; and (3 construction of probabilistic finite-state automata (PFSA from the symbol strings that contain temporal patterns. The reported work addresses these challenges by maximizing the mutual information measures between symbol strings and PFSA states. The proposed symbolization method has been validated by numerical simulation as well as by experimentation in a laboratory environment. Performance of the proposed algorithm has been compared to that of two commonly used algorithms of time series partitioning.

  10. Measuring nuclear reaction cross sections to extract information on neutrinoless double beta decay

    Science.gov (United States)

    Cavallaro, M.; Cappuzzello, F.; Agodi, C.; Acosta, L.; Auerbach, N.; Bellone, J.; Bijker, R.; Bonanno, D.; Bongiovanni, D.; Borello-Lewin, T.; Boztosun, I.; Branchina, V.; Bussa, M. P.; Calabrese, S.; Calabretta, L.; Calanna, A.; Calvo, D.; Carbone, D.; Chávez Lomelí, E. R.; Coban, A.; Colonna, M.; D’Agostino, G.; De Geronimo, G.; Delaunay, F.; Deshmukh, N.; de Faria, P. N.; Ferraresi, C.; Ferreira, J. L.; Finocchiaro, P.; Fisichella, M.; Foti, A.; Gallo, G.; Garcia, U.; Giraudo, G.; Greco, V.; Hacisalihoglu, A.; Kotila, J.; Iazzi, F.; Introzzi, R.; Lanzalone, G.; Lavagno, A.; La Via, F.; Lay, J. A.; Lenske, H.; Linares, R.; Litrico, G.; Longhitano, F.; Lo Presti, D.; Lubian, J.; Medina, N.; Mendes, D. R.; Muoio, A.; Oliveira, J. R. B.; Pakou, A.; Pandola, L.; Petrascu, H.; Pinna, F.; Reito, S.; Rifuggiato, D.; Rodrigues, M. R. D.; Russo, A. D.; Russo, G.; Santagati, G.; Santopinto, E.; Sgouros, O.; Solakci, S. O.; Souliotis, G.; Soukeras, V.; Spatafora, A.; Torresi, D.; Tudisco, S.; Vsevolodovna, R. I. M.; Wheadon, R. J.; Yildirin, A.; Zagatto, V. A. B.

    2018-02-01

    Neutrinoless double beta decay (0vββ) is considered the best potential resource to access the absolute neutrino mass scale. Moreover, if observed, it will signal that neutrinos are their own anti-particles (Majorana particles). Presently, this physics case is one of the most important research “beyond Standard Model” and might guide the way towards a Grand Unified Theory of fundamental interactions. Since the 0vββ decay process involves nuclei, its analysis necessarily implies nuclear structure issues. In the NURE project, supported by a Starting Grant of the European Research Council (ERC), nuclear reactions of double charge-exchange (DCE) are used as a tool to extract information on the 0vββ Nuclear Matrix Elements. In DCE reactions and ββ decay indeed the initial and final nuclear states are the same and the transition operators have similar structure. Thus the measurement of the DCE absolute cross-sections can give crucial information on ββ matrix elements. In a wider view, the NUMEN international collaboration plans a major upgrade of the INFN-LNS facilities in the next years in order to increase the experimental production of nuclei of at least two orders of magnitude, thus making feasible a systematic study of all the cases of interest as candidates for 0vββ.

  11. Making Sense of the Information Seeking Process of Undergraduates in a Specialised University: Revelations from Dialogue Journaling on WhatsApp Messenger

    Directory of Open Access Journals (Sweden)

    Dorcas E Krubu

    2017-01-01

    Full Text Available Aim/Purpose: The research work investigated the information seeking process of undergraduates in a specialised university in Nigeria, in the course of a group assignment. Background: Kuhlthau’s Information Search Process (ISP model is used as lens to reveal how students interact with information in the affective, cognitive and physical realms. Methodology: Qualitative research methods were employed. The entire seventy-seven third year students in the Department of Petroleum and Natural Gas and their course lecturer were the participants. Group assignment question was analysed using Bloom’s Taxonomy while the information seeking process of the students was garnered through dialogue journaling on WhatsApp Messenger. Contribution: The research explicates how students’ information seeking behaviour can be captured beyond the four walls of a classroom by using a Web 2.0 tool such as WhatsApp Messenger. Findings: The apparent level of uncertainty, optimism, and confusion/doubt common in the initiation, selection, and exploration phases of the ISP model and low confidence levels were not markedly evident in the students. Consequently, Kuhlthau’s ISP model could not be applied in its entirety to the study’s particular context of teaching and learning due to the nature of the assignment. Recommendations for Practitioners: The study recommends that the Academic Planning Unit (APU should set a benchmark for all faculties and, by extension, the departments in terms of the type/scope and number of assignments per semester, including learning outcomes. Recommendation for Researchers: Where elements of a guided approach to learning are missing, Kuhlthau’s ISP may not be employed. Therefore, alternative theory, such as Theory of Change could explain the poor quality of education and the type of intervention that could enhance students’ learning. Impact on Society: The ability to use emerging technologies is a form of literacy that is required by

  12. Integrating research-informed teaching within an undergraduate diagnostic radiography curriculum: Results from a level 4 (year 1) student cohort

    International Nuclear Information System (INIS)

    Higgins, Robert; Robinson, Leslie; Hogg, Peter

    2014-01-01

    Aim: Previously we reported on focus group research which explored the level 4 (year 1) student experience of the Research-informed Teaching experience (RiTe). This article discusses follow up research with a new student cohort. Method: An online questionnaire was used to explore the level 4 student cohort experience of RiTe. A Multi-method approach was taken to analyse the data, identify themes and link questionnaire findings with those from the focus group research. Results: A 54% (27/50) response rate was achieved. Students found RiTe to be a positive experience and there was strong agreement that it had increased their knowledge of research methods and understanding of key areas of practice. Conclusions: Results from the questionnaire supported the focus group findings. One of the key factors in the success of RiTe was that of collaborative learning. This was achieved by the students undertaking an inquiry and situated approach to learning within small groups

  13. An Informed Approach to Improving Quantitative Literacy and Mitigating Math Anxiety in Undergraduates Through Introductory Science Courses

    Science.gov (United States)

    Follette, K.; McCarthy, D.

    2012-08-01

    Current trends in the teaching of high school and college science avoid numerical engagement because nearly all students lack basic arithmetic skills and experience anxiety when encountering numbers. Nevertheless, such skills are essential to science and vital to becoming savvy consumers, citizens capable of recognizing pseudoscience, and discerning interpreters of statistics in ever-present polls, studies, and surveys in which our society is awash. Can a general-education collegiate course motivate students to value numeracy and to improve their quantitative skills in what may well be their final opportunity in formal education? We present a tool to assess whether skills in numeracy/quantitative literacy can be fostered and improved in college students through the vehicle of non-major introductory courses in astronomy. Initial classroom applications define the magnitude of this problem and indicate that significant improvements are possible. Based on these initial results we offer this tool online and hope to collaborate with other educators, both formal and informal, to develop effective mechanisms for encouraging all students to value and improve their skills in basic numeracy.

  14. Dual-wavelength phase-shifting digital holography selectively extracting wavelength information from wavelength-multiplexed holograms.

    Science.gov (United States)

    Tahara, Tatsuki; Mori, Ryota; Kikunaga, Shuhei; Arai, Yasuhiko; Takaki, Yasuhiro

    2015-06-15

    Dual-wavelength phase-shifting digital holography that selectively extracts wavelength information from five wavelength-multiplexed holograms is presented. Specific phase shifts for respective wavelengths are introduced to remove the crosstalk components and extract only the object wave at the desired wavelength from the holograms. Object waves in multiple wavelengths are selectively extracted by utilizing 2π ambiguity and the subtraction procedures based on phase-shifting interferometry. Numerical results show the validity of the proposed technique. The proposed technique is also experimentally demonstrated.

  15. Overview of BioCreAtIvE: critical assessment of information extraction for biology

    Directory of Open Access Journals (Sweden)

    Hirschman Lynette

    2005-05-01

    Full Text Available Abstract Background The goal of the first BioCreAtIvE challenge (Critical Assessment of Information Extraction in Biology was to provide a set of common evaluation tasks to assess the state of the art for text mining applied to biological problems. The results were presented in a workshop held in Granada, Spain March 28–31, 2004. The articles collected in this BMC Bioinformatics supplement entitled "A critical assessment of text mining methods in molecular biology" describe the BioCreAtIvE tasks, systems, results and their independent evaluation. Results BioCreAtIvE focused on two tasks. The first dealt with extraction of gene or protein names from text, and their mapping into standardized gene identifiers for three model organism databases (fly, mouse, yeast. The second task addressed issues of functional annotation, requiring systems to identify specific text passages that supported Gene Ontology annotations for specific proteins, given full text articles. Conclusion The first BioCreAtIvE assessment achieved a high level of international participation (27 groups from 10 countries. The assessment provided state-of-the-art performance results for a basic task (gene name finding and normalization, where the best systems achieved a balanced 80% precision / recall or better, which potentially makes them suitable for real applications in biology. The results for the advanced task (functional annotation from free text were significantly lower, demonstrating the current limitations of text-mining approaches where knowledge extrapolation and interpretation are required. In addition, an important contribution of BioCreAtIvE has been the creation and release of training and test data sets for both tasks. There are 22 articles in this special issue, including six that provide analyses of results or data quality for the data sets, including a novel inter-annotator consistency assessment for the test set used in task 2.

  16. INFORMATION EXTRACTION AND DEPENDENCY ON OPEN GOVERNMENT DATA (OGD FOR ENVIRONMENTAL MONITORING

    Directory of Open Access Journals (Sweden)

    H. Abdulmuttalib

    2016-06-01

    Full Text Available Environmental monitoring practices support decision makers of different government / private institutions, besides environmentalists and planners among others. This support helps them act towards the sustainability of our environment, and also take efficient measures for protecting human beings in general, but it is difficult to explore useful information from 'OGD' and assure its quality for the purpose. On the other hand, Monitoring itself comprises detecting changes as happens, or within the mitigation period range, which means that any source of data, that is to be used for monitoring, should replicate the information related to the period of environmental monitoring, or otherwise it's considered almost useless or history. In this paper the assessment of information extraction and structuring from Open Government Data 'OGD', that can be useful to environmental monitoring is performed, looking into availability, usefulness to environmental monitoring of a certain type, checking its repetition period and dependences. The particular assessment is being performed on a small sample selected from OGD, bearing in mind the type of the environmental change monitored, such as the increase and concentrations of built up areas, and reduction of green areas, or monitoring the change of temperature in a specific area. The World Bank mentioned in its blog that Data is open if it satisfies both conditions of, being technically open, and legally open. The use of Open Data thus, is regulated by published terms of use, or an agreement which implies some conditions without violating the above mentioned two conditions. Within the scope of the paper I wish to share the experience of using some OGD for supporting an environmental monitoring work, that is performed to mitigate the production of carbon dioxide, by regulating energy consumption, and by properly designing the test area's landscapes, thus using Geodesign tactics, meanwhile wish to add to the results

  17. Information Extraction and Dependency on Open Government Data (ogd) for Environmental Monitoring

    Science.gov (United States)

    Abdulmuttalib, Hussein

    2016-06-01

    Environmental monitoring practices support decision makers of different government / private institutions, besides environmentalists and planners among others. This support helps them act towards the sustainability of our environment, and also take efficient measures for protecting human beings in general, but it is difficult to explore useful information from 'OGD' and assure its quality for the purpose. On the other hand, Monitoring itself comprises detecting changes as happens, or within the mitigation period range, which means that any source of data, that is to be used for monitoring, should replicate the information related to the period of environmental monitoring, or otherwise it's considered almost useless or history. In this paper the assessment of information extraction and structuring from Open Government Data 'OGD', that can be useful to environmental monitoring is performed, looking into availability, usefulness to environmental monitoring of a certain type, checking its repetition period and dependences. The particular assessment is being performed on a small sample selected from OGD, bearing in mind the type of the environmental change monitored, such as the increase and concentrations of built up areas, and reduction of green areas, or monitoring the change of temperature in a specific area. The World Bank mentioned in its blog that Data is open if it satisfies both conditions of, being technically open, and legally open. The use of Open Data thus, is regulated by published terms of use, or an agreement which implies some conditions without violating the above mentioned two conditions. Within the scope of the paper I wish to share the experience of using some OGD for supporting an environmental monitoring work, that is performed to mitigate the production of carbon dioxide, by regulating energy consumption, and by properly designing the test area's landscapes, thus using Geodesign tactics, meanwhile wish to add to the results achieved by many

  18. Information Extraction from Large-scale WSNs: Approaches and Research Issues Part II: Query-Based and Macroprogramming Approaches

    Directory of Open Access Journals (Sweden)

    Tessa DANIEL

    2008-07-01

    Full Text Available Regardless of the application domain and deployment scope, the ability to retrieve information is critical to the successful functioning of any wireless sensor network (WSN system. In general, information extraction procedures can be categorized into three main approaches: agent-based, query-based and macroprogramming led. Whilst query-based systems are the most popular, macroprogramming techniques provide a more general-purpose approach to distributed computation. Finally, the agent-based approaches tailor the information extraction mechanism to the type of information needed and the configuration of the network it needs to be extracted from. This suite of three papers (Part I-III offers an extensive survey of the literature in the area of WSN information extraction, covering in Part I and Part II the three main approaches above. Part III highlights the open research questions and issues faced by deployable WSN system designers and discusses the potential benefits of both in-network processing and complex querying for large scale wireless informational systems.

  19. Undergraduate Information Literacy Instruction Is Not Enough to Prepare Junior Doctors for Evidence Based Practice. A Review of: Cullen, R., Clark, M., & Esson, R. (2011. Evidence-based information-seeking skills of junior doctors entering the workforce: An evaluation of the impact of information literacy training during pre-clinical years. Health Information & Libraries Journal, 28(2, 119-129. doi:10.1111/j.1471-1842.2011.00933.x

    Directory of Open Access Journals (Sweden)

    Carol D. Howe

    2012-06-01

    Full Text Available Objective – To determine if junior doctorsentering the workforce retain the informationliteracy skills they learned as undergraduates.Design – Structured interviews andobservations.Setting – Wellington Medical School of theUniversity of Otago in New Zealand. Medicinein New Zealand is an undergraduate program.Subjects – Thirty-eight University of Otagostudents who were starting their fourth year ofundergraduate medical training between 1994and 2004. At the time of this study, thestudents had graduated and were a number ofyears into advanced training for theirspeciality, i.e., junior doctors. The participantsrepresented five cohorts, each having receiveda different level of information literacyinstruction as undergraduates. Cohort 1, withthe most years in clinical practice at the time ofthe study, received no formal informationliteracy instruction as undergraduates. Cohorts2 to 5 received information literacy instructionin their fourth undergraduate year. The focusof instruction for cohorts 2 and 3 was ondeveloping an effective search strategy,whereas the instruction for cohorts 4 and 5focused more on the critical appraisal ofarticles. Methods – In 2008 and 2009, the authors contacted cohort graduates. Two medical librarians from the Wellington Medical Library interviewed and observed participants to establish their level of information literacy. The librarians asked an initial six questions to determine how much participants remembered of their undergraduate information literacy instruction, how they search for clinical information, what databases they use, how they evaluate information, and if they have had any formal or informal information literacy instruction since graduating. For question seven, participants described a recent situation in which they searched for clinical information relating to a given patient. For question eight, participants rated their own skill level as “no skills”, “some skills”, or “highly skilled

  20. Mobile Medical Education (MoMEd) - how mobile information resources contribute to learning for undergraduate clinical students - a mixed methods study.

    Science.gov (United States)

    Davies, Bethany S; Rafique, Jethin; Vincent, Tim R; Fairclough, Jil; Packer, Mark H; Vincent, Richard; Haq, Inam

    2012-01-12

    Mobile technology is increasingly being used by clinicians to access up-to-date information for patient care. These offer learning opportunities in the clinical setting for medical students but the underlying pedagogic theories are not clear. A conceptual framework is needed to understand these further. Our initial questions were how the medical students used the technology, how it enabled them to learn and what theoretical underpinning supported the learning. 387 medical students were provided with a personal digital assistant (PDA) loaded with medical resources for the duration of their clinical studies. Outcomes were assessed by a mixed-methods triangulation approach using qualitative and quantitative analysis of surveys, focus groups and usage tracking data. Learning occurred in context with timely access to key facts and through consolidation of knowledge via repetition. The PDA was an important addition to the learning ecology rather than a replacement. Contextual factors impacted on use both positively and negatively. Barriers included concerns of interrupting the clinical interaction and of negative responses from teachers and patients. Students preferred a future involving smartphone platforms. This is the first study to describe the learning ecology and pedagogic basis behind the use of mobile learning technologies in a large cohort of undergraduate medical students in the clinical environment. We have developed a model for mobile learning in the clinical setting that shows how different theories contribute to its use taking into account positive and negative contextual factors.The lessons from this study are transferable internationally, to other health care professions and to the development of similar initiatives with newer technology such as smartphones or tablet computers.

  1. Mobile Medical Education (MoMEd - how mobile information resources contribute to learning for undergraduate clinical students - a mixed methods study

    Directory of Open Access Journals (Sweden)

    Davies Bethany S

    2012-01-01

    Full Text Available Abstract Background Mobile technology is increasingly being used by clinicians to access up-to-date information for patient care. These offer learning opportunities in the clinical setting for medical students but the underlying pedagogic theories are not clear. A conceptual framework is needed to understand these further. Our initial questions were how the medical students used the technology, how it enabled them to learn and what theoretical underpinning supported the learning. Methods 387 medical students were provided with a personal digital assistant (PDA loaded with medical resources for the duration of their clinical studies. Outcomes were assessed by a mixed-methods triangulation approach using qualitative and quantitative analysis of surveys, focus groups and usage tracking data. Results Learning occurred in context with timely access to key facts and through consolidation of knowledge via repetition. The PDA was an important addition to the learning ecology rather than a replacement. Contextual factors impacted on use both positively and negatively. Barriers included concerns of interrupting the clinical interaction and of negative responses from teachers and patients. Students preferred a future involving smartphone platforms. Conclusions This is the first study to describe the learning ecology and pedagogic basis behind the use of mobile learning technologies in a large cohort of undergraduate medical students in the clinical environment. We have developed a model for mobile learning in the clinical setting that shows how different theories contribute to its use taking into account positive and negative contextual factors. The lessons from this study are transferable internationally, to other health care professions and to the development of similar initiatives with newer technology such as smartphones or tablet computers.

  2. Machine learning classification of surgical pathology reports and chunk recognition for information extraction noise reduction.

    Science.gov (United States)

    Napolitano, Giulio; Marshall, Adele; Hamilton, Peter; Gavin, Anna T

    2016-06-01

    Machine learning techniques for the text mining of cancer-related clinical documents have not been sufficiently explored. Here some techniques are presented for the pre-processing of free-text breast cancer pathology reports, with the aim of facilitating the extraction of information relevant to cancer staging. The first technique was implemented using the freely available software RapidMiner to classify the reports according to their general layout: 'semi-structured' and 'unstructured'. The second technique was developed using the open source language engineering framework GATE and aimed at the prediction of chunks of the report text containing information pertaining to the cancer morphology, the tumour size, its hormone receptor status and the number of positive nodes. The classifiers were trained and tested respectively on sets of 635 and 163 manually classified or annotated reports, from the Northern Ireland Cancer Registry. The best result of 99.4% accuracy - which included only one semi-structured report predicted as unstructured - was produced by the layout classifier with the k nearest algorithm, using the binary term occurrence word vector type with stopword filter and pruning. For chunk recognition, the best results were found using the PAUM algorithm with the same parameters for all cases, except for the prediction of chunks containing cancer morphology. For semi-structured reports the performance ranged from 0.97 to 0.94 and from 0.92 to 0.83 in precision and recall, while for unstructured reports performance ranged from 0.91 to 0.64 and from 0.68 to 0.41 in precision and recall. Poor results were found when the classifier was trained on semi-structured reports but tested on unstructured. These results show that it is possible and beneficial to predict the layout of reports and that the accuracy of prediction of which segments of a report may contain certain information is sensitive to the report layout and the type of information sought. Copyright

  3. Study of time-frequency characteristics of single snores: extracting new information for sleep apnea diagnosis

    Energy Technology Data Exchange (ETDEWEB)

    Castillo Escario, Y.; Blanco Almazan, D.; Camara Vazquez, M.A.; Jane Campos, R.

    2016-07-01

    Obstructive sleep apnea (OSA) is a highly prevalent chronic disease, especially in elderly and obese population. Despite constituting a huge health and economic problem, most patients remain undiagnosed due to limitations in current strategies. Therefore, it is essential to find cost-effective diagnostic alternatives. One of these novel approaches is the analysis of acoustic snoring signals. Snoring is an early symptom of OSA which carries pathophysiological information of high diagnostic value. For this reason, the main objective of this work is to study the characteristics of single snores of different types, from healthy and OSA subjects. To do that, we analyzed snoring signals from previous databases and developed an experimental protocol to record simulated OSA-related sounds and characterize the response of two commercial tracheal microphones. Automatic programs for filtering, downsampling, event detection and time-frequency analysis were built in MATLAB. We found that time-frequency maps and spectral parameters (central, mean and peak frequency and energy in the 100-500 Hz band) allow distinguishing regular snores of healthy subjects from non-regular snores and snores of OSA subjects. Regarding the two commercial microphones, we found that one of them was a suitable snoring sensor, while the other had a too restricted frequency response. Future work shall include a higher number of episodes and subjects, but our study has contributed to show how important the differences between regular and non-regular snores can be for OSA diagnosis, and how much clinically relevant information can be extracted from time-frequency maps and spectral parameters of single snores. (Author)

  4. Study of quadrature FIR filters for extraction of low-frequency instantaneous information in biophysical signals

    Science.gov (United States)

    Arce-Guevara, Valdemar E.; Alba-Cadena, Alfonso; Mendez, Martín O.

    Quadrature bandpass filters take a real-valued signal and output an analytic signal from which the instantaneous amplitude and phase can be computed. For this reason, they represent a useful tool to extract time-varying, narrow-band information from electrophysiological signals such as electroencephalogram (EEG) or electrocardiogram. One of the defining characteristics of quadrature filters is its null response to negative frequencies. However, when the frequency band of interest is close to 0 Hz, a careless filter design could let through negative frequencies, producing distortions in the amplitude and phase of the output. In this work, three types of quadrature filters (Ideal, Gabor and Sinusoidal) have been evaluated using both artificial and real EEG signals. For the artificial signals, the performance of each filter was measured in terms of the distortion in amplitude and phase, and sensitivity to noise and bandwidth selection. For the real EEG signals, a qualitative evaluation of the dynamics of the synchronization between two EEG channels was performed. The results suggest that, while all filters under study behave similarly under noise, they differ in terms of their sensitivity to bandwidth choice. In this study, the Sinusoidal filter showed clear advantages for the estimation of low-frequency EEG synchronization.

  5. P3-19: Failure to Extract Velocity Information from Contours Induces the Footsteps Illusion

    Directory of Open Access Journals (Sweden)

    Tsubasa Tano

    2012-10-01

    Full Text Available When a black or white rectangle drifts horizontally across a background of black and white vertical stripes, the rectangle appears to stop and start as it crosses each stripe (the footsteps illusion; Anstis, 2001 Perception 30 785–794. Although previous studies indicate that confusion between contrast and velocity signals in the motion detectors or the spatial pattern of the background contribute to the footsteps illusion (e.g., Sunaga et al., 2008 Perception 37 902–914, it remains unclear which factor is critical. We hypothesize that the contour of the rectangle is significant to the footsteps illusion. A subjective experiment is conducted using modified rectangles, the contour of which were emphasized by adding contour lines, filling random dots inside, or putting illusory contour inducers on the four corners. Two kinds of rectangles were presented above and below central fixation simultaneously and the background strips were scrolled from right to left, or vice versa. Participants were asked which rectangle was perceived to drift more smoothly. The results demonstrate that the footsteps illusion is reduced when the rectangle's contour is emphasized. Placing random dots inside the rectangle yielded a weaker illusion than the rectangle that was surrounded by lines. These results suggest that humans perceive the velocity of moving objects (or background based on the extracted contours which are constructed by integrating low spatial frequency information.

  6. Efficacy of triphala extract and chlorhexidine mouth rinse against plaque accumulation and gingival inflammation among female undergraduates: A randomized controlled trial

    Directory of Open Access Journals (Sweden)

    Sahana Umesh Baratakke

    2017-01-01

    Full Text Available Aim: To know the efficacy of Triphala extract and Chlorhexidine mouth rinse against plaque and gingival inflammation. Materials and Methods: A double blinded parallel arm randomised control trial was done among 60 participants aged 18-24 years. Participants were randomly allotted to three groups with 20 participants in each group of 0.6% triphala, 0.12% chlorhexidine and control group. Study was done in 2 phases of 21 days duration. During the experimental period, participants rinsed with the allocated mouth rinse 10ml twice daily for 30 seconds without any supervision. The plaque and gingival status were assessed using Silness and Loe and Loe and Silness at baseline and end of the phase. Statistical Analysis Used: The results were analysed using ANOVA(Analysis of Variance, Wilcoxon sign rank test and post hoc test with significant level at P value < 0.05. Results: Triphala and Chlorhexidine showed significant reduction in plaque and gingival scores as compared to Control group (P < 0.001. No significant difference was found between the plaque and gingival scores obtained with triphala extract and chlorhexidine mouth rinse. Conclusion: Triphala extract mouth rinse was effective in reducing plaque accumulation and gingival inflammation with reported no side effects.

  7. EERE Resources for Undergraduate Students

    Energy Technology Data Exchange (ETDEWEB)

    None

    2016-10-01

    Looking to expand your experience outside of the classroom? The Office of Energy Efficiency and Renewable Energy (EERE) at the U.S. Department of Energy (DOE) has a number of resources available for undergraduate students, including competitions, internships, and career planning information to help you navigate the education to employment pathway in energy.

  8. EERE Resources for Undergraduate Students

    Energy Technology Data Exchange (ETDEWEB)

    None

    2015-04-01

    Looking to expand your experience outside of the classroom? The Office of Energy Efficiency and Renewable Energy (EERE) at the U.S. Department of Energy (DOE) has a number of resources available for undergraduate students, including competitions, internships, and career planning information to help you navigate the education to employment pathway in energy.

  9. Bioinformatics and the Undergraduate Curriculum

    Science.gov (United States)

    Maloney, Mark; Parker, Jeffrey; LeBlanc, Mark; Woodard, Craig T.; Glackin, Mary; Hanrahan, Michael

    2010-01-01

    Recent advances involving high-throughput techniques for data generation and analysis have made familiarity with basic bioinformatics concepts and programs a necessity in the biological sciences. Undergraduate students increasingly need training in methods related to finding and retrieving information stored in vast databases. The rapid rise of…

  10. Very Large Graphs for Information Extraction (VLG). Summary of First-Year Proof-of-Concept Study

    Science.gov (United States)

    2013-08-20

    15 700M.---~----~----~------,----, 600M Cl) ’E 500M 8 400M Ci) 0:: 300M .... 0 200M ~ Sep-12 Sep-19 Sep-26 Time Total Proxy Log Records...Large Graphs for Information Extraction (VLG) Summary of First-Year Proof-of-Concept Study 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6

  11. Extraction as a source of additional information when concentrations in multicomponent systems are simultaneously determined

    International Nuclear Information System (INIS)

    Perkov, I.G.

    1988-01-01

    Using as an example photometric determination of Nd and Sm in their joint presence, the possibility to use the influence of extraction on analytic signal increase is considered. It is shown that interligand exchange in extracts in combination with simultaneous determination of concentrations can be used as a simple means increasing the accuracy of determination. 5 refs.; 2 figs.; 3 tabs

  12. 大學生與大學教師在資訊行為考量因素之比較研究 The Comparison Study of Factors Influencing Information Behaviors between the Undergraduate Students and Teachers in University

    Directory of Open Access Journals (Sweden)

    Kang-Jiun Pern

    2013-04-01

    Full Text Available 資訊行為是由資訊需求所衍生出一連串滿足需求的行為,其包含發現需求、尋求資訊管道、使用資訊、滿足需求。本研究旨在探究影響大學生資訊行為之考量因素及比較大學生與大學教師,其影響資訊行為之考量因素是否有所差異。透過文獻分析及因素分析,歸納出影響因素包含使用資訊的態度、助力與阻力、實體資訊篩選、社會影響、資訊蒐集、網路資訊篩選以及網路互動之七個構面並據此發展問卷。研究結果顯示,大學生與大學教師的資訊行為影響因素在「實體資訊篩選」、「網路資訊篩選」、及「網路互動」產生顯著差異。本文並根據研究結果,提出對於大學教師教學與大學生學習之建議及進行相關議題研討之參考。The purposes of this study were to explore the consideration factors of influencing undergraduate students’ information behavior, and to compare differences in consideration factors information behaviors between undergraduate students and teachers in university. Based on the literature review and principal component analysis, this study generalized 7 consideration factors, including (1 Attitude toward the information, (2 Barriers & Facilitating Conditions, (3 Physical Information Sifting, (4 Social Influences, (5Information Collecting, (6Internet Information Sifting, and (7 Interaction with others via internet. The results from t-tests indicated that there were differences in factors of「Information Collecting」、「Internet Information Sifting」and 「Interaction with others via internet」between undergraduate students and faculty. Based on the research result, the study provides several suggestions for faculty and undergraduate students in their teaching and learning.

  13. Using Mung Beans as a Simple, Informative Means to Evaluate the Phytotoxicity of Engineered Nanomaterials and Introduce the Concept of Nanophytotoxicity to Undergraduate Students

    Science.gov (United States)

    Ross, Shailise S.; Owen, Matthew J.; Pedersen, Brian P.; Liu, Gang-yu; Miller, William J. W.

    2016-01-01

    This work presents a lecture and lab series that focuses on teaching the concept of nanophytotoxicity to undergraduate students in a relatively simple experiment. In this experiment, students evaluated the phytotoxicity of engineered nanomaterials (ENMs) using mung beans (i.e., "Vigna radiata") and industrially relevant, commercially…

  14. IISc Undergraduate Programme: Admissions for 2013

    Indian Academy of Sciences (India)

    Home; Journals; Resonance – Journal of Science Education; Volume 18; Issue 2. IISc Undergraduate Programme: Admissions for 2013. Information and Announcements Volume 18 Issue 2 February 2013 pp 200-200. Fulltext. Click here to view fulltext PDF. Permanent link:

  15. 3D building reconstruction based on given ground plan information and surface models extracted from spaceborne imagery

    Science.gov (United States)

    Tack, Frederik; Buyuksalih, Gurcan; Goossens, Rudi

    2012-01-01

    3D surface models have gained field as an important tool for urban planning and mapping. However, urban environments have a complex nature to model and they provide a challenge to investigate the current limits of automatic digital surface modeling from high resolution satellite imagery. An approach is introduced to improve a 3D surface model, extracted photogrammetrically from satellite imagery, based on the geometric building information embodied in existing 2D ground plans. First buildings are clipped from the extracted DSM based on the 2D polygonal building ground plans. To generate prismatic shaped structures with vertical walls and flat roofs, building shape is retrieved from the cadastre database while elevation information is extracted from the DSM. Within each 2D building boundary, a constant roof height is extracted based on statistical calculations of the height values. After buildings are extracted from the initial surface model, the remaining DSM is further processed to simplify to a smooth DTM that reflects bare ground, without artifacts, local relief, vegetation, cars and city furniture. In a next phase, both models are merged to yield an integrated city model or generalized DSM. The accuracy of the generalized surface model is assessed according to a quantitative-statistical analysis by comparison with two different types of reference data.

  16. Engaging Undergraduates in Economics

    Science.gov (United States)

    Gajwani, Kiran; Miron, Jeffrey

    2015-01-01

    Siegfried and Stock (2007) explore the undergraduate training of PhD economists. Their findings show that among U.S. undergraduate economics programs, the Harvard University Economics Department produces many eventual economics PhD recipients. In this article, the authors discuss Harvard's undergraduate economics program and highlight some key…

  17. A COMPARATIVE ANALYSIS OF WEB INFORMATION EXTRACTION TECHNIQUES DEEP LEARNING vs. NAÏVE BAYES vs. BACK PROPAGATION NEURAL NETWORKS IN WEB DOCUMENT EXTRACTION

    Directory of Open Access Journals (Sweden)

    J. Sharmila

    2016-01-01

    Full Text Available Web mining related exploration is getting the chance to be more essential these days in view of the reason that a lot of information is overseen through the web. Web utilization is expanding in an uncontrolled way. A particular framework is required for controlling such extensive measure of information in the web space. Web mining is ordered into three noteworthy divisions: Web content mining, web usage mining and web structure mining. Tak-Lam Wong has proposed a web content mining methodology in the exploration with the aid of Bayesian Networks (BN. In their methodology, they were learning on separating the web data and characteristic revelation in view of the Bayesian approach. Roused from their investigation, we mean to propose a web content mining methodology, in view of a Deep Learning Algorithm. The Deep Learning Algorithm gives the interest over BN on the basis that BN is not considered in any learning architecture planning like to propose system. The main objective of this investigation is web document extraction utilizing different grouping algorithm and investigation. This work extricates the data from the web URL. This work shows three classification algorithms, Deep Learning Algorithm, Bayesian Algorithm and BPNN Algorithm. Deep Learning is a capable arrangement of strategies for learning in neural system which is connected like computer vision, speech recognition, and natural language processing and biometrics framework. Deep Learning is one of the simple classification technique and which is utilized for subset of extensive field furthermore Deep Learning has less time for classification. Naive Bayes classifiers are a group of basic probabilistic classifiers in view of applying Bayes hypothesis with concrete independence assumptions between the features. At that point the BPNN algorithm is utilized for classification. Initially training and testing dataset contains more URL. We extract the content presently from the dataset. The

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

    Science.gov (United States)

    Floyd, J. S.

    2016-12-01

    allow one to extract information from hundreds of papers or more and find relationships in less time than it would take to read all of the papers. As machine learning tools become more commonly available, more and more scientists will be able to use and refine these tools for their individual needs.

  19. Information extraction from dynamic PS-InSAR time series using machine learning

    Science.gov (United States)

    van de Kerkhof, B.; Pankratius, V.; Chang, L.; van Swol, R.; Hanssen, R. F.

    2017-12-01

    Due to the increasing number of SAR satellites, with shorter repeat intervals and higher resolutions, SAR data volumes are exploding. Time series analyses of SAR data, i.e. Persistent Scatterer (PS) InSAR, enable the deformation monitoring of the built environment at an unprecedented scale, with hundreds of scatterers per km2, updated weekly. Potential hazards, e.g. due to failure of aging infrastructure, can be detected at an early stage. Yet, this requires the operational data processing of billions of measurement points, over hundreds of epochs, updating this data set dynamically as new data come in, and testing whether points (start to) behave in an anomalous way. Moreover, the quality of PS-InSAR measurements is ambiguous and heterogeneous, which will yield false positives and false negatives. Such analyses are numerically challenging. Here we extract relevant information from PS-InSAR time series using machine learning algorithms. We cluster (group together) time series with similar behaviour, even though they may not be spatially close, such that the results can be used for further analysis. First we reduce the dimensionality of the dataset in order to be able to cluster the data, since applying clustering techniques on high dimensional datasets often result in unsatisfying results. Our approach is to apply t-distributed Stochastic Neighbor Embedding (t-SNE), a machine learning algorithm for dimensionality reduction of high-dimensional data to a 2D or 3D map, and cluster this result using Density-Based Spatial Clustering of Applications with Noise (DBSCAN). The results show that we are able to detect and cluster time series with similar behaviour, which is the starting point for more extensive analysis into the underlying driving mechanisms. The results of the methods are compared to conventional hypothesis testing as well as a Self-Organising Map (SOM) approach. Hypothesis testing is robust and takes the stochastic nature of the observations into account

  20. TempoWordNet : une ressource lexicale pour l'extraction d'information temporelle

    OpenAIRE

    Hasanuzzaman , Mohammed

    2016-01-01

    The ability to capture the time information conveyed in natural language, where that information is expressed either explicitly, or implicitly, or connotative, is essential to many natural language processing applications such as information retrieval, question answering, automatic summarization, targeted marketing, loan repayment forecasting, and understanding economic patterns. Associating word senses with temporal orientation to grasp the temporal information in language is relatively stra...

  1. An evaluation of the effectiveness of information literacy training for undergraduate midwives to improve their ability to access evidence for practice.

    Science.gov (United States)

    Lalor, Joan G; Clarke, Michael; Sheaf, Greg

    2012-09-01

    Several authors have suggested that computer skills should be taught within the undergraduate curriculum. In this paper, the focus is mainly on the results of an examination of midwifery students' search strategy in response to a specific question undertaken before and after training session in the first, second and third years of the undergraduate programme. The intervention allocated 16 h of library-based instruction over the first three years of the programme focussing specifically on the skills required to utilise electronic resources effectively. Following ethical approval by the university, 108 undergraduates took part from 2008 to 2011. The data obtained from the search history files were categorised as either poor, fair or good. The primary analyses compared the pre and post-instruction categories in each year, within each student, with a comparison of each student's post-instruction category one year and the pre-instruction category the following year. The data indicated that the sessions in the first and second years of the programmes resulted in improvements in the ability to search, with less improvement in third year. As with any complex intervention, it is not possible to tease out which elements of the session were most beneficial. We will try to identify ways in which midwifery students' search skills could be strengthened further. Copyright © 2012 Elsevier Ltd. All rights reserved.

  2. The BEL information extraction workflow (BELIEF): Evaluation in the BioCreative V BEL and IAT track

    OpenAIRE

    Madan, Sumit; Hodapp, Sven; Senger, Philipp; Ansari, Sam; Szostak, Justyna; Hoeng, Julia; Peitsch, Manuel; Fluck, Juliane

    2016-01-01

    Network-based approaches have become extremely important in systems biology to achieve a better understanding of biological mechanisms. For network representation, the Biological Expression Language (BEL) is well designed to collate findings from the scientific literature into biological network models. To facilitate encoding and biocuration of such findings in BEL, a BEL Information Extraction Workflow (BELIEF) was developed. BELIEF provides a web-based curation interface, the BELIEF Dashboa...

  3. Proactive Response to Potential Material Shortages Arising from Environmental Restrictions Using Automatic Discovery and Extraction of Information from Technical Documents

    Science.gov (United States)

    2012-12-21

    documents is via web links on manufacturer and distributor product catalogs on the web . These links were discovered using XSB’s focused crawler technology...regulatory information with specific items Focused Crawler Data In addition to PDF documents, we made use of data collected from the web using XSB, Inc...listed in the catalog. As a rule, the focused crawler extracts attributes and values as they appear on the web page. To be useful for this project

  4. Comparison of Qinzhou bay wetland landscape information extraction by three methods

    Directory of Open Access Journals (Sweden)

    X. Chang

    2014-04-01

    and OO is 219 km2, 193.70 km2, 217.40 km2 respectively. The result indicates that SC is in the f irst place, followed by OO approach, and the third DT method when used to extract Qingzhou Bay coastal wetland.

  5. Awareness and Knowledge of Undergraduate Dental Students ...

    African Journals Online (AJOL)

    investigation indicated that awareness and knowledge of undergraduate dental students in relation to sterilization/disinfection methods of extracted human teeth were good. However, deficiencies were observed in relation to teaching the material and methods suitable for sterilization. Keywords: Awareness, Dental student, ...

  6. Guaiacol Peroxidase Zymography for the Undergraduate Laboratory

    Science.gov (United States)

    Wilkesman, Jeff; Castro, Diana; Contreras, Lellys M.; Kurz, Liliana

    2014-01-01

    This laboratory exercise presents a novel way to introduce undergraduate students to the specific detection of enzymatic activity by electrophoresis. First, students prepare a crude peroxidase extract and then analyze the homogenate via electrophoresis. Zymography, that is, a SDS-PAGE method to detect enzyme activity, is used to specifically…

  7. MIDAS. An algorithm for the extraction of modal information from experimentally determined transfer functions

    International Nuclear Information System (INIS)

    Durrans, R.F.

    1978-12-01

    In order to design reactor structures to withstand the large flow and acoustic forces present it is necessary to know something of their dynamic properties. In many cases these properties cannot be predicted theoretically and it is necessary to determine them experimentally. The algorithm MIDAS (Modal Identification for the Dynamic Analysis of Structures) which has been developed at B.N.L. for extracting these structural properties from experimental data is described. (author)

  8. Extracting Information about the Initial State from the Black Hole Radiation.

    Science.gov (United States)

    Lochan, Kinjalk; Padmanabhan, T

    2016-02-05

    The crux of the black hole information paradox is related to the fact that the complete information about the initial state of a quantum field in a collapsing spacetime is not available to future asymptotic observers, belying the expectations from a unitary quantum theory. We study the imprints of the initial quantum state contained in a specific class of distortions of the black hole radiation and identify the classes of in states that can be partially or fully reconstructed from the information contained within. Even for the general in state, we can uncover some specific information. These results suggest that a classical collapse scenario ignores this richness of information in the resulting spectrum and a consistent quantum treatment of the entire collapse process might allow us to retrieve much more information from the spectrum of the final radiation.

  9. Unsupervised improvement of named entity extraction in short informal context using disambiguation clues

    NARCIS (Netherlands)

    Habib, Mena Badieh; van Keulen, Maurice

    2012-01-01

    Short context messages (like tweets and SMS’s) are a potentially rich source of continuously and instantly updated information. Shortness and informality of such messages are challenges for Natural Language Processing tasks. Most efforts done in this direction rely on machine learning techniques

  10. Automated Methods to Extract Patient New Information from Clinical Notes in Electronic Health Record Systems

    Science.gov (United States)

    Zhang, Rui

    2013-01-01

    The widespread adoption of Electronic Health Record (EHR) has resulted in rapid text proliferation within clinical care. Clinicians' use of copying and pasting functions in EHR systems further compounds this by creating a large amount of redundant clinical information in clinical documents. A mixture of redundant information (especially outdated…

  11. Lung region extraction based on the model information and the inversed MIP method by using chest CT images

    International Nuclear Information System (INIS)

    Tomita, Toshihiro; Miguchi, Ryosuke; Okumura, Toshiaki; Yamamoto, Shinji; Matsumoto, Mitsuomi; Tateno, Yukio; Iinuma, Takeshi; Matsumoto, Toru.

    1997-01-01

    We developed a lung region extraction method based on the model information and the inversed MIP method in the Lung Cancer Screening CT (LSCT). Original model is composed of typical 3-D lung contour lines, a body axis, an apical point, and a convex hull. First, the body axis. the apical point, and the convex hull are automatically extracted from the input image Next, the model is properly transformed to fit to those of input image by the affine transformation. Using the same affine transformation coefficients, typical lung contour lines are also transferred, which correspond to rough contour lines of input image. Experimental results applied for 68 samples showed this method quite promising. (author)

  12. The effect of using an audience response system on learning, motivation and information retention in the orthodontic teaching of undergraduate dental students: a cross-over trial.

    Science.gov (United States)

    Dhaliwal, Harmeet Kaur; Allen, Mark; Kang, Jing; Bates, Claire; Hodge, Trevor

    2015-06-01

    New methods of teaching and learning are constantly being sought in the adult learning environment. Audience Response Systems (ARS) have been used in many different learning environments, especially in the field of medical education. The objective of this investigation was to ascertain the effect of ARS use in undergraduate teaching in a UK dental school. A cross-over clustered randomized educational trial. Leeds Dental Institute. Year 4 undergraduate dental students in orthodontics. Students at Leeds Dental Institute were taught two different topics within the curriculum to test the use of ARS in a cross-over trial. A questionnaire was delivered to the test (ARS) and control (non-ARS) groups. The response rate to the questionnaires was 89·5% (test group) and 82·9% (control group). The ARS enabled students to perform better as shown by knowledge retention (P = 0·013). Students found the seminar more interesting (P = 0·013), easier to concentrate (P = 0·025) and easier to participate in (P = 0·020) when ARS was used. When ARS was used, students were more able to answer questions (Pteaching and significantly improved knowledge retention. ARS may be useful in facilitating orthodontic teaching in the future.

  13. Wavelet analysis of molecular dynamics: Efficient extraction of time-frequency information in ultrafast optical processes

    International Nuclear Information System (INIS)

    Prior, Javier; Castro, Enrique; Chin, Alex W.; Almeida, Javier; Huelga, Susana F.; Plenio, Martin B.

    2013-01-01

    New experimental techniques based on nonlinear ultrafast spectroscopies have been developed over the last few years, and have been demonstrated to provide powerful probes of quantum dynamics in different types of molecular aggregates, including both natural and artificial light harvesting complexes. Fourier transform-based spectroscopies have been particularly successful, yet “complete” spectral information normally necessitates the loss of all information on the temporal sequence of events in a signal. This information though is particularly important in transient or multi-stage processes, in which the spectral decomposition of the data evolves in time. By going through several examples of ultrafast quantum dynamics, we demonstrate that the use of wavelets provide an efficient and accurate way to simultaneously acquire both temporal and frequency information about a signal, and argue that this greatly aids the elucidation and interpretation of physical process responsible for non-stationary spectroscopic features, such as those encountered in coherent excitonic energy transport

  14. FIVA : Functional Information Viewer and Analyzer extracting biological knowledge from transcriptome data of prokaryotes

    NARCIS (Netherlands)

    Blom, E.J.; Bosman, D.W.; van Hijum, S.A F T; Breitling, R.; Tijsma, L.; Silvis, R.; Roerdink, J.B.T.M.; Kuipers, O.P.

    2007-01-01

    FIVA (Function Information Viewer and Analyzer) aids researchers in the prokaryotic community to quickly identify relevant biological processes following transcriptome analysis. Our software assists in functional profiling of large sets of genes and generates a comprehensive overview of affected

  15. Text mining tools for extracting information about microbial biodiversity in food

    OpenAIRE

    Deleger, Louise; Bossy, Robert; Nédellec, Claire

    2017-01-01

    Introduction Information on food microbial biodiversity is scattered across millions of scientific papers (2 million references in the PubMed bibliographic database in 2017). It is impossible to manually achieve an exhaustive analysis of these documents. Text-mining and knowledge engineering methods can assist the researcher in finding relevant information. Material & Methods We propose to study bacterial biodiversity using text-mining tools from the Alvis platform. First, w...

  16. Investigation of the Impact of Extracting and Exchanging Health Information by Using Internet and Social Networks.

    Science.gov (United States)

    Pistolis, John; Zimeras, Stelios; Chardalias, Kostas; Roupa, Zoe; Fildisis, George; Diomidous, Marianna

    2016-06-01

    Social networks (1) have been embedded in our daily life for a long time. They constitute a powerful tool used nowadays for both searching and exchanging information on different issues by using Internet searching engines (Google, Bing, etc.) and Social Networks (Facebook, Twitter etc.). In this paper, are presented the results of a research based on the frequency and the type of the usage of the Internet and the Social Networks by the general public and the health professionals. The objectives of the research were focused on the investigation of the frequency of seeking and meticulously searching for health information in the social media by both individuals and health practitioners. The exchanging of information is a procedure that involves the issues of reliability and quality of information. In this research, by using advanced statistical techniques an effort is made to investigate the participant's profile in using social networks for searching and exchanging information on health issues. Based on the answers 93 % of the people, use the Internet to find information on health-subjects. Considering principal component analysis, the most important health subjects were nutrition (0.719 %), respiratory issues (0.79 %), cardiological issues (0.777%), psychological issues (0.667%) and total (73.8%). The research results, based on different statistical techniques revealed that the 61.2% of the males and 56.4% of the females intended to use the social networks for searching medical information. Based on the principal components analysis, the most important sources that the participants mentioned, were the use of the Internet and social networks for exchanging information on health issues. These sources proved to be of paramount importance to the participants of the study. The same holds for nursing, medical and administrative staff in hospitals.

  17. Undergraduate Biocuration: Developing Tomorrow’s Researchers While Mining Today’s Data

    Science.gov (United States)

    Mitchell, Cassie S.; Cates, Ashlyn; Kim, Renaid B.; Hollinger, Sabrina K.

    2015-01-01

    Biocuration is a time-intensive process that involves extraction, transcription, and organization of biological or clinical data from disjointed data sets into a user-friendly database. Curated data is subsequently used primarily for text mining or informatics analysis (bioinformatics, neuroinformatics, health informatics, etc.) and secondarily as a researcher resource. Biocuration is traditionally considered a Ph.D. level task, but a massive shortage of curators to consolidate the ever-mounting biomedical “big data” opens the possibility of utilizing biocuration as a means to mine today’s data while teaching students skill sets they can utilize in any career. By developing a biocuration assembly line of simplified and compartmentalized tasks, we have enabled biocuration to be effectively performed by a hierarchy of undergraduate students. We summarize the necessary physical resources, process for establishing a data path, biocuration workflow, and undergraduate hierarchy of curation, technical, information technology (IT), quality control and managerial positions. We detail the undergraduate application and training processes and give detailed job descriptions for each position on the assembly line. We present case studies of neuropathology curation performed entirely by undergraduates, namely the construction of experimental databases of Amyotrophic Lateral Sclerosis (ALS) transgenic mouse models and clinical data from ALS patient records. Our results reveal undergraduate biocuration is scalable for a group of 8–50+ with relatively minimal required resources. Moreover, with average accuracy rates greater than 98.8%, undergraduate biocurators are equivalently accurate to their professional counterparts. Initial training to be completely proficient at the entry-level takes about five weeks with a minimal student time commitment of four hours/week. PMID:26557796

  18. Building Recognition on Subregion’s Multiscale Gist Feature Extraction and Corresponding Columns Information Based Dimensionality Reduction

    Directory of Open Access Journals (Sweden)

    Bin Li

    2014-01-01

    Full Text Available In this paper, we proposed a new building recognition method named subregion’s multiscale gist feature (SM-gist extraction and corresponding columns information based dimensionality reduction (CCI-DR. Our proposed building recognition method is presented as a two-stage model: in the first stage, a building image is divided into 4 × 5 subregions, and gist vectors are extracted from these regions individually. Then, we combine these gist vectors into a matrix with relatively high dimensions. In the second stage, we proposed CCI-DR to project the high dimensional manifold matrix to low dimensional subspace. Compared with the previous building recognition method the advantages of our proposed method are that (1 gist features extracted by SM-gist have the ability to adapt to nonuniform illumination and that (2 CCI-DR can address the limitation of traditional dimensionality reduction methods, which convert gist matrices into vectors and thus mix the corresponding gist vectors from different feature maps. Our building recognition method is evaluated on the Sheffield buildings database, and experiments show that our method can achieve satisfactory performance.

  19. Advanced feature extraction in remote sensing using artificial intelligence and geographic information systems

    Science.gov (United States)

    Estes, John E.; Friedl, Mark A.; Star, Jeffrey L.

    1988-01-01

    Traditional computer-assisted image-analysis techniques in remote sensing lag well behind human abilities in terms of both speed and accuracy. A fundamental limitation of computer-assisted techniques is their inability to assimilate a variety of different data types leading to an interpretation in a manner similar to human image interpretation. Expert systems and computer-vision techniques are proposed as a potential solution to these limitations. Some aspects of human expertise in image analysis may be codified into expert systems. Image understanding and symbolic reasoning provide a means of assimilating spatial information and spatial reasoning into the analysis procedure. Knowledge-based image-analysis systems incorporate many of these concepts and have been implemented for some well defined problem domains. Geographic information systems represent an excellent environment for this type of analysis, providing both analytic tools and contextual information to the analysis procedure.

  20. Undergraduate Science Students are Uncertain of How to Find Facts in E-books Compared to Print Books. A Review of: Berg, S. A., Hoffmann, K., & Dawson, D. (2010. Not on the same page: Undergraduates' information retrieval in electronic and print books. The Journal of Academic Librarianship, 36(6, 518-525.

    Directory of Open Access Journals (Sweden)

    Christina E. Carter

    2011-06-01

    Full Text Available Objective – To observe and compare the strategies that undergraduate science students use to perform information retrieval tasks in e-books and in print books.Design – Qualitative analysis, employing a “prompted think-aloud” methodology and thematic analysis.Setting – Taylor Library (serving the Faculty of Science, University of Western Ontario, London, Ontario, Canada.Subjects – Twenty undergraduate science students (11 females, 9 males who had completed at least two years of study in Faculty of Science programs at the University of Western Ontario.Methods – Participants for the study were recruited through informational posters in Taylor Library, science departments, and in undergraduate science classes. Participants were assigned fact-finding tasks in e-book and print versions of eight health, computer science, and engineering textbooks and handbooks available in the Taylor Library. Book titles and tasks are included in a table in the study. Each student completed four tasks using e-books and four tasks using print books. Half of the participants performed tasks in print books first, and half began with tasks in e-books. Print books were “pre-selected” for each participant. The e-books were all from the same platform: Electronic Book Library. Participants were provided with a laptop computer to access the e-book versions, and a list of questions or facts to locate within each book. Following the methodology of Cotton & Gresty (2006, one researcher prompted students to verbalize actions while performing assigned tasks. A second researcher captured audio and video of the laptop screen as students individually conducted their e-book searches. A third researcher took notes on each session. An exit survey was given to each participant, asking about previous use, knowledge, and attitudes towards e-books. Thematic analysis was then used to examine the collected data.Main Results – Researchers identified four major themes from the

  1. Intelligent multimedia indexing and retrieval through multi-source information extraction and merging

    NARCIS (Netherlands)

    Kuper, Jan; Saggion, H.; Cunningham, H.; Declerck, T.; de Jong, Franciska M.G.; Reidsma, Dennis; Wilks, Y.; Wittenburg, P.

    This paper reports work on automated meta-data creation for multimedia content. The approach results in the generation of a conceptual index of the content which may then be searched via semantic categories instead of keywords. The novelty of the work is to exploit multiple sources of information

  2. What do Professional Forecasters' Stock Market Expectations Tell Us about Herding, Information Extraction and Beauty Contests?

    DEFF Research Database (Denmark)

    Rangvid, Jesper; Schmeling, Maik; Schrimpf, Andreas

    2013-01-01

    We study how professional forecasters form equity market expectations based on a new micro-level dataset which includes rich cross-sectional information about individual characteristics. We focus on testing whether agents rely on the beliefs of others, i.e., consensus expectations, when forming...

  3. Graph-Based Weakly-Supervised Methods for Information Extraction & Integration

    Science.gov (United States)

    Talukdar, Partha Pratim

    2010-01-01

    The variety and complexity of potentially-related data resources available for querying--webpages, databases, data warehouses--has been growing ever more rapidly. There is a growing need to pose integrative queries "across" multiple such sources, exploiting foreign keys and other means of interlinking data to merge information from diverse…

  4. Extracting additional risk managers information from a risk assessment of Listeria monocytogenes in deli meats

    NARCIS (Netherlands)

    Pérez-Rodríguez, F.; Asselt, van E.D.; García-Gimeno, R.M.; Zurera, G.; Zwietering, M.H.

    2007-01-01

    The risk assessment study of Listeria monocytogenes in ready-to-eat foods conducted by the U.S. Food and Drug Administration is an example of an extensive quantitative microbiological risk assessment that could be used by risk analysts and other scientists to obtain information and by managers and

  5. The Promise of Information and Communication Technology in Healthcare: Extracting Value From the Chaos.

    Science.gov (United States)

    Mamlin, Burke W; Tierney, William M

    2016-01-01

    Healthcare is an information business with expanding use of information and communication technologies (ICTs). Current ICT tools are immature, but a brighter future looms. We examine 7 areas of ICT in healthcare: electronic health records (EHRs), health information exchange (HIE), patient portals, telemedicine, social media, mobile devices and wearable sensors and monitors, and privacy and security. In each of these areas, we examine the current status and future promise, highlighting how each might reach its promise. Steps to better EHRs include a universal programming interface, universal patient identifiers, improved documentation and improved data analysis. HIEs require federal subsidies for sustainability and support from EHR vendors, targeting seamless sharing of EHR data. Patient portals must bring patients into the EHR with better design and training, greater provider engagement and leveraging HIEs. Telemedicine needs sustainable payment models, clear rules of engagement, quality measures and monitoring. Social media needs consensus on rules of engagement for providers, better data mining tools and approaches to counter disinformation. Mobile and wearable devices benefit from a universal programming interface, improved infrastructure, more rigorous research and integration with EHRs and HIEs. Laws for privacy and security need updating to match current technologies, and data stewards should share information on breaches and standardize best practices. ICT tools are evolving quickly in healthcare and require a rational and well-funded national agenda for development, use and assessment. Copyright © 2016 Southern Society for Clinical Investigation. Published by Elsevier Inc. All rights reserved.

  6. Analysis Methods for Extracting Knowledge from Large-Scale WiFi Monitoring to Inform Building Facility Planning

    DEFF Research Database (Denmark)

    Ruiz-Ruiz, Antonio; Blunck, Henrik; Prentow, Thor Siiger

    2014-01-01

    The optimization of logistics in large building com- plexes with many resources, such as hospitals, require realistic facility management and planning. Current planning practices rely foremost on manual observations or coarse unverified as- sumptions and therefore do not properly scale or provide...... realistic data to inform facility planning. In this paper, we propose analysis methods to extract knowledge from large sets of network collected WiFi traces to better inform facility management and planning in large building complexes. The analysis methods, which build on a rich set of temporal and spatial...... features, include methods for noise removal, e.g., labeling of beyond building-perimeter devices, and methods for quantification of area densities and flows, e.g., building enter and exit events, and for classifying the behavior of people, e.g., into user roles such as visitor, hospitalized or employee...

  7. Adaptive extraction of emotion-related EEG segments using multidimensional directed information in time-frequency domain.

    Science.gov (United States)

    Petrantonakis, Panagiotis C; Hadjileontiadis, Leontios J

    2010-01-01

    Emotion discrimination from electroencephalogram (EEG) has gained attention the last decade as a user-friendly and effective approach to EEG-based emotion recognition (EEG-ER) systems. Nevertheless, challenging issues regarding the emotion elicitation procedure, especially its effectiveness, raise. In this work, a novel method, which not only evaluates the degree of emotion elicitation but localizes the emotion information in the time-frequency domain, as well, is proposed. The latter, incorporates multidimensional directed information at the time-frequency EEG representation, extracted using empirical mode decomposition, and introduces an asymmetry index for adaptive emotion-related EEG segment selection. Experimental results derived from 16 subjects visually stimulated with pictures from the valence/arousal space drawn from the International Affective Picture System database, justify the effectiveness of the proposed approach and its potential contribution to the enhancement of EEG-ER systems.

  8. Inexperienced clinicians can extract pathoanatomic information from MRI narrative reports with high reproducability for use in research/quality assurance

    DEFF Research Database (Denmark)

    Kent, Peter; Briggs, Andrew M; Albert, Hanne Birgit

    2011-01-01

    and transforming that information into quantitative data. However, this process is frequently required in research and quality assurance contexts. The purpose of this study was to examine inter-rater reproducibility (agreement and reliability) among an inexperienced group of clinicians in extracting spinal...... of radiological training is not required in order to transform MRI-derived pathoanatomic information from a narrative format to a quantitative format with high reproducibility for research or quality assurance purposes....... a categorical electronic coding matrix. Decision rules were developed after initial coding in an effort to resolve ambiguities in narrative reports. This process was repeated a further three times using separate samples of 20 MRI reports until no further ambiguities were identified (total n=80). Reproducibility...

  9. Bioinformatics in Undergraduate Education: Practical Examples

    Science.gov (United States)

    Boyle, John A.

    2004-01-01

    Bioinformatics has emerged as an important research tool in recent years. The ability to mine large databases for relevant information has become increasingly central to many different aspects of biochemistry and molecular biology. It is important that undergraduates be introduced to the available information and methodologies. We present a…

  10. Extracting Feature Information and its Visualization Based on the Characteristic Defect Octave Frequencies in a Rolling Element Bearing

    Directory of Open Access Journals (Sweden)

    Jianyu Lei

    2007-10-01

    Full Text Available Monitoring the condition of rolling element bearings and defect diagnosis has received considerable attention for many years because the majority of problems in rotating machines are caused by defective bearings. In order to monitor conditions and diagnose defects in a rolling element bearing, a new approach is developed, based on the characteristic defect octave frequencies. The characteristic defect frequencies make it possible to detect the presence of a defect and diagnose in what part of the bearing the defect appears. However, because the characteristic defect frequencies vary with rotational speed, it is difficult to extract feature information from data at variable rotational speeds. In this paper, the characteristic defect octave frequencies, which do not vary with rotation speed, are introduced to replace the characteristic defect frequencies. Therefore feature information can be easily extracted. Moreover, based on characteristic defect octave frequencies, an envelope spectrum array, which associates 3-D visualization technology with extremum envelope spectrum technology, is established. This method has great advantages in acquiring the characteristics and trends of the data and achieves a straightforward and creditable result.

  11. Extraction of indirectly captured information for use in a comparison of offline pH measurement technologies.

    Science.gov (United States)

    Ritchie, Elspeth K; Martin, Elaine B; Racher, Andy; Jaques, Colin

    2017-06-10

    Understanding the causes of discrepancies in pH readings of a sample can allow more robust pH control strategies to be implemented. It was found that 59.4% of differences between two offline pH measurement technologies for an historical dataset lay outside an expected instrument error range of ±0.02pH. A new variable, Osmo Res , was created using multiple linear regression (MLR) to extract information indirectly captured in the recorded measurements for osmolality. Principal component analysis and time series analysis were used to validate the expansion of the historical dataset with the new variable Osmo Res . MLR was used to identify variables strongly correlated (p<0.05) with differences in pH readings by the two offline pH measurement technologies. These included concentrations of specific chemicals (e.g. glucose) and Osmo Res, indicating culture medium and bolus feed additions as possible causes of discrepancies between the offline pH measurement technologies. Temperature was also identified as statistically significant. It is suggested that this was a result of differences in pH-temperature compensations employed by the pH measurement technologies. In summary, a method for extracting indirectly captured information has been demonstrated, and it has been shown that competing pH measurement technologies were not necessarily interchangeable at the desired level of control (±0.02pH). Copyright © 2017 Elsevier B.V. All rights reserved.

  12. You had me at "Hello": Rapid extraction of dialect information from spoken words.

    Science.gov (United States)

    Scharinger, Mathias; Monahan, Philip J; Idsardi, William J

    2011-06-15

    Research on the neuronal underpinnings of speaker identity recognition has identified voice-selective areas in the human brain with evolutionary homologues in non-human primates who have comparable areas for processing species-specific calls. Most studies have focused on estimating the extent and location of these areas. In contrast, relatively few experiments have investigated the time-course of speaker identity, and in particular, dialect processing and identification by electro- or neuromagnetic means. We show here that dialect extraction occurs speaker-independently, pre-attentively and categorically. We used Standard American English and African-American English exemplars of 'Hello' in a magnetoencephalographic (MEG) Mismatch Negativity (MMN) experiment. The MMN as an automatic change detection response of the brain reflected dialect differences that were not entirely reducible to acoustic differences between the pronunciations of 'Hello'. Source analyses of the M100, an auditory evoked response to the vowels suggested additional processing in voice-selective areas whenever a dialect change was detected. These findings are not only relevant for the cognitive neuroscience of language, but also for the social sciences concerned with dialect and race perception. Copyright © 2011 Elsevier Inc. All rights reserved.

  13. Singularity analysis of multisource geodatasets for information extraction and integration for mineral prospecting

    Science.gov (United States)

    Zhao, Jie

    2015-04-01

    Local singularity analysis (LSA) developed in the context of fractal and multifractals has been utilized as an efficient way to characterize non-linear geological phenomenon like flood, landslide, tectonic evolution, etc. In the past decade, this technique has been successfully applied for mineral exploration in many areas for various types of mineral deposits. Mineralization as a cascade geo-process is associated with multiple geological processes including tectono-magmatism, sedimentation, and metamorphisms which often depict non-linear properties Proper description of spatial distributions of these geological bodies can benefit mineral exploration. Current study is about identification of geological bodies in eastern Tianshan mineral district, a Gobi-desert area with thick over-burden. LSA technique was utilized to identify weak anomalies associated with mineralization from both weak and strong background. In addition to geochemical data, this study employs LSA to analyze geological and geophysical data for extracting geo-anomalies for mapping spatial distributions of felsic intrusions, intermediate-mafic volcanic strata, and faults that are associated with iron mineralization. Furthermore, these diverse geo-anomalies are integrated for delineating targets for iron mineral deposits in the covered areas.

  14. Information extracting and processing with diffraction enhanced imaging of X-ray

    International Nuclear Information System (INIS)

    Chen Bo; Chinese Academy of Science, Beijing; Chen Chunchong; Jiang Fan; Chen Jie; Ming Hai; Shu Hang; Zhu Peiping; Wang Junyue; Yuan Qingxi; Wu Ziyu

    2006-01-01

    X-ray imaging at high energies has been used for many years in many fields. Conventional X-ray imaging is based on the different absorption within a sample. It is difficult to distinguish different tissues of a biological sample because of their small difference in absorption. The authors use the diffraction enhanced imaging (DEI) method. The authors took images of absorption, extinction, scattering and refractivity. In the end, the authors presented pictures of high resolution with all these information combined. (authors)

  15. perception of undergraduates of undergraduates' about computer

    African Journals Online (AJOL)

    eobe

    Computer and internet has omputer and internet has omputer and internet has brought innovative chang brought innovative chang computer and IT related courses have recently been i level. Therefore, level. Therefore, it was important to know the perc it was important to know the perc undergraduate students about the.

  16. CLASSIFICATION OF INFORMAL SETTLEMENTS THROUGH THE INTEGRATION OF 2D AND 3D FEATURES EXTRACTED FROM UAV DATA

    Directory of Open Access Journals (Sweden)

    C. M. Gevaert

    2016-06-01

    Full Text Available Unmanned Aerial Vehicles (UAVs are capable of providing very high resolution and up-to-date information to support informal settlement upgrading projects. In order to provide accurate basemaps, urban scene understanding through the identification and classification of buildings and terrain is imperative. However, common characteristics of informal settlements such as small, irregular buildings with heterogeneous roof material and large presence of clutter challenge state-of-the-art algorithms. Especially the dense buildings and steeply sloped terrain cause difficulties in identifying elevated objects. This work investigates how 2D radiometric and textural features, 2.5D topographic features, and 3D geometric features obtained from UAV imagery can be integrated to obtain a high classification accuracy in challenging classification problems for the analysis of informal settlements. It compares the utility of pixel-based and segment-based features obtained from an orthomosaic and DSM with point-based and segment-based features extracted from the point cloud to classify an unplanned settlement in Kigali, Rwanda. Findings show that the integration of 2D and 3D features leads to higher classification accuracies.

  17. Undergraduate study in psychology: Curriculum and assessment.

    Science.gov (United States)

    Norcross, John C; Hailstorks, Robin; Aiken, Leona S; Pfund, Rory A; Stamm, Karen E; Christidis, Peggy

    2016-01-01

    The undergraduate curriculum in psychology profoundly reflects and shapes the discipline. Yet, reliable information on the undergraduate psychology curriculum has been difficult to acquire due to insufficient research carried out on unrepresentative program samples with disparate methods. In 2014, APA launched the first systematic effort in a decade to gather national data on the psychology major and program outcomes. We surveyed a stratified random sample of department chairs/coordinators of accredited colleges and universities in the United States that offer undergraduate courses and programs in psychology. A total of 439 undergraduate psychology programs (45.2%) completed the survey. This article summarizes, for both associate and baccalaureate programs, the results of the Undergraduate Study in Psychology. Current practices concerning the introductory course, the courses offered, core requirements, the psychology minor, and tracks/concentrations are presented. The frequency of formal program reviews and program-level assessment methods are also addressed. By extending prior research on the undergraduate curriculum, we chronicle longitudinal changes in the psychology major over the past 20 years. (c) 2016 APA, all rights reserved).

  18. Note on difference spectra for fast extraction of global image information.

    CSIR Research Space (South Africa)

    Van Wyk, BJ

    2007-06-01

    Full Text Available RESULTS The Difference Spectrum and c39c4cc51c46c48c51c57cb6c56c03 Linear Greyscale Pattern Spectrum [4] have been used to classify greyscale QuickBird satellite images over Soweto as formal suburbs or informal settlements. Since Vincent has... from selected Soweto suburbs, labelled by a built environment expert from the South African Centre for Scientific and Industrial Research, were equally divided into a training set and a test set. For all images N=M=200. Refer to Figures 1 and 2...

  19. EXTRACTION OF BENTHIC COVER INFORMATION FROM VIDEO TOWS AND PHOTOGRAPHS USING OBJECT-BASED IMAGE ANALYSIS

    Directory of Open Access Journals (Sweden)

    M. T. L. Estomata

    2012-07-01

    Full Text Available Mapping benthic cover in deep waters comprises a very small proportion of studies in the field of research. Majority of benthic cover mapping makes use of satellite images and usually, classification is carried out only for shallow waters. To map the seafloor in optically deep waters, underwater videos and photos are needed. Some researchers have applied this method on underwater photos, but made use of different classification methods such as: Neural Networks, and rapid classification via down sampling. In this study, accurate bathymetric data obtained using a multi-beam echo sounder (MBES was attempted to be used as complementary data with the underwater photographs. Due to the absence of a motion reference unit (MRU, which applies correction to the data gathered by the MBES, accuracy of the said depth data was compromised. Nevertheless, even with the absence of accurate bathymetric data, object-based image analysis (OBIA, which used rule sets based on information such as shape, size, area, relative distance, and spectral information, was still applied. Compared to pixel-based classifications, OBIA was able to classify more specific benthic cover types other than coral and sand, such as rubble and fish. Through the use of rule sets on area, less than or equal to 700 pixels for fish and between 700 to 10,000 pixels for rubble, as well as standard deviation values to distinguish texture, fish and rubble were identified. OBIA produced benthic cover maps that had higher overall accuracy, 93.78±0.85%, as compared to pixel-based methods that had an average accuracy of only 87.30±6.11% (p-value = 0.0001, α = 0.05.

  20. Making Data Management Accessible in the Undergraduate Chemistry Curriculum

    Science.gov (United States)

    Reisner, Barbara A.; Vaughan, K. T. L.; Shorish, Yasmeen L.

    2014-01-01

    In the age of "big data" science, data management is becoming a key information literacy skill for chemistry professionals. To introduce this skill in the undergraduate chemistry major, an activity has been developed to familiarize undergraduates with data management. In this activity, students rename and organize cards that represent…

  1. The BEL information extraction workflow (BELIEF): evaluation in the BioCreative V BEL and IAT track

    Science.gov (United States)

    Madan, Sumit; Hodapp, Sven; Senger, Philipp; Ansari, Sam; Szostak, Justyna; Hoeng, Julia; Peitsch, Manuel; Fluck, Juliane

    2016-01-01

    Network-based approaches have become extremely important in systems biology to achieve a better understanding of biological mechanisms. For network representation, the Biological Expression Language (BEL) is well designed to collate findings from the scientific literature into biological network models. To facilitate encoding and biocuration of such findings in BEL, a BEL Information Extraction Workflow (BELIEF) was developed. BELIEF provides a web-based curation interface, the BELIEF Dashboard, that incorporates text mining techniques to support the biocurator in the generation of BEL networks. The underlying UIMA-based text mining pipeline (BELIEF Pipeline) uses several named entity recognition processes and relationship extraction methods to detect concepts and BEL relationships in literature. The BELIEF Dashboard allows easy curation of the automatically generated BEL statements and their context annotations. Resulting BEL statements and their context annotations can be syntactically and semantically verified to ensure consistency in the BEL network. In summary, the workflow supports experts in different stages of systems biology network building. Based on the BioCreative V BEL track evaluation, we show that the BELIEF Pipeline automatically extracts relationships with an F-score of 36.4% and fully correct statements can be obtained with an F-score of 30.8%. Participation in the BioCreative V Interactive task (IAT) track with BELIEF revealed a systems usability scale (SUS) of 67. Considering the complexity of the task for new users—learning BEL, working with a completely new interface, and performing complex curation—a score so close to the overall SUS average highlights the usability of BELIEF. Database URL: BELIEF is available at http://www.scaiview.com/belief/ PMID:27694210

  2. A Parametric Oscillator Experiment for Undergraduates

    Science.gov (United States)

    Huff, Alison; Thompson, Johnathon; Pate, Jacob; Kim, Hannah; Chiao, Raymond; Sharping, Jay

    We describe an upper-division undergraduate-level analytic mechanics experiment or classroom demonstration of a weakly-damped pendulum driven into parametric resonance. Students can derive the equations of motion from first principles and extract key oscillator features, such as quality factor and parametric gain, from experimental data. The apparatus is compact, portable and easily constructed from inexpensive components. Motion control and data acquisition are accomplished using an Arduino micro-controller incorporating a servo motor, laser sensor, and data logger. We record the passage time of the pendulum through its equilibrium position and obtain the maximum speed per oscillation as a function of time. As examples of the interesting physics which the experiment reveals, we present contour plots depicting the energy of the system as functions of driven frequency and modulation depth. We observe the transition to steady state oscillation and compare the experimental oscillation threshold with theoretical expectations. A thorough understanding of this hands-on laboratory exercise provides a foundation for current research in quantum information and opto-mechanics, where damped harmonic motion, quality factor, and parametric amplification are central.

  3. EXTRACTION OF VINEYARDS OUT OF AERIAL ORTHO-IMAGE USING TEXTURE INFORMATION

    Directory of Open Access Journals (Sweden)

    A. Le Bris

    2012-07-01

    Full Text Available A cartography of vineyards is required by many mapping agencies, both to draw topographic maps and to complete the "vineyard" layer of large scale land cover databases. In this paper, two distinct approaches are proposed and tested to achieve a (semi-automatic detection of vineyards task out of 50cm ground resolution ortho-images. Both are object based approaches relying on image texture analysis in homogeneous land cover regions. Therefore, the first step (common to both approaches is a segmentation of the image into homogeneous land cover regions. These regions can then be classified as vineyards or not by the next approaches. A first approach consists in a frequency analysis of the image texture in each region. A semi-variogram is first calculated from the ortho-image for each region of the segmentation. A Fourier transform (FFT of this semi-variogram of the image is then considered. If a periodic signal with a high frequency (i.e. of which the frequency is upper than a threshold is identified, the region is labelled as a vineyard. The second approach is a supervised (per region land cover classification one. It uses texture indexes calculated from ortho-images as input image information. In particular, some texture indexes derived from SIFT descriptors calculated from ortho-images have been used in the experiments, giving good results.

  4. Optimization models for cancer classification: extracting gene interaction information from microarray expression data.

    Science.gov (United States)

    Antonov, Alexey V; Tetko, Igor V; Mader, Michael T; Budczies, Jan; Mewes, Hans W

    2004-03-22

    Microarray data appear particularly useful to investigate mechanisms in cancer biology and represent one of the most powerful tools to uncover the genetic mechanisms causing loss of cell cycle control. Recently, several different methods to employ microarray data as a diagnostic tool in cancer classification have been proposed. These procedures take changes in the expression of particular genes into account but do not consider disruptions in certain gene interactions caused by the tumor. It is probable that some genes participating in tumor development do not change their expression level dramatically. Thus, they cannot be detected by simple classification approaches used previously. For these reasons, a classification procedure exploiting information related to changes in gene interactions is needed. We propose a MAximal MArgin Linear Programming (MAMA) method for the classification of tumor samples based on microarray data. This procedure detects groups of genes and constructs models (features) that strongly correlate with particular tumor types. The detected features include genes whose functional relations are changed for particular cancer types. The proposed method was tested on two publicly available datasets and demonstrated a prediction ability superior to previously employed classification schemes. The MAMA system was developed using the linear programming system LINDO http://www.lindo.com. A Perl script that specifies the optimization problem for this software is available upon request from the authors.

  5. Emphasizing Research (Further) in Undergraduate Technical Communication Curricula: Involving Undergraduate Students with an Academic Journal's Publication and Management

    Science.gov (United States)

    Ford, Julie Dyke; Newmark, Julianne

    2011-01-01

    This article presents follow-up information to a previous publication regarding ways to increase emphasis on research skills in undergraduate Technical Communication curricula. We detail the ways our undergraduate program highlights research by requiring majors to complete senior thesis projects that culminate in submission to an online…

  6. Eodataservice.org: Big Data Platform to Enable Multi-disciplinary Information Extraction from Geospatial Data

    Science.gov (United States)

    Natali, S.; Mantovani, S.; Barboni, D.; Hogan, P.

    2017-12-01

    In 1999, US Vice-President Al Gore outlined the concept of `Digital Earth' as a multi-resolution, three-dimensional representation of the planet to find, visualise and make sense of vast amounts of geo- referenced information on physical and social environments, allowing to navigate through space and time, accessing historical and forecast data to support scientists, policy-makers, and any other user. The eodataservice platform (http://eodataservice.org/) implements the Digital Earth Concept: eodatasevice is a cross-domain platform that makes available a large set of multi-year global environmental collections allowing data discovery, visualization, combination, processing and download. It implements a "virtual datacube" approach where data stored on distributed data centers are made available via standardized OGC-compliant interfaces. Dedicated web-based Graphic User Interfaces (based on the ESA-NASA WebWorldWind technology) as well as web-based notebooks (e.g. Jupyter notebook), deskop GIS tools and command line interfaces can be used to access and manipulate the data. The platform can be fully customized on users' needs. So far eodataservice has been used for the following thematic applications: High resolution satellite data distribution Land surface monitoring using SAR surface deformation data Atmosphere, ocean and climate applications Climate-health applications Urban Environment monitoring Safeguard of cultural heritage sites Support to farmers and (re)-insurances in the agriculturés field In the current work, the EO Data Service concept is presented as key enabling technology; furthermore various examples are provided to demonstrate the high level of interdisciplinarity of the platform.

  7. Mechanics problems in undergraduate physics

    CERN Document Server

    Strelkov, S P

    2013-01-01

    Problems in Undergraduate Physics, Volume I: Mechanics focuses on solutions to problems in physics. The book first discusses the fundamental problems in physics. Topics include laws of conservation of momentum and energy; dynamics of a point particle in circular motion; dynamics of a rotating rigid body; hydrostatics and aerostatics; and acoustics. The text also offers information on solutions to problems in physics. Answers to problems in kinematics, statics, gravity, elastic deformations, vibrations, and hydrostatics and aerostatics are discussed. Solutions to problems related to the laws of

  8. Privacy and Ethics in Undergraduate GIS Curricula

    Science.gov (United States)

    Scull, Peter; Burnett, Adam; Dolfi, Emmalee; Goldfarb, Ali; Baum, Peter

    2016-01-01

    The development of location-aware technologies, such as smartphones, raises serious questions regarding locational privacy and the ethical use of geographic data. The degree to which these concepts are taught in undergraduate geographic information science (GISci) courses is unknown. A survey of GISci educators shows that issues of privacy and…

  9. Principles for Quality Undergraduate Education in Psychology

    Science.gov (United States)

    American Psychologist, 2011

    2011-01-01

    The principles for undergraduate education in psychology presented here are designed for creating a world-class educational system that provides students with the workplace skills needed in this information age; a solid academic background that prepares them for advanced study in a wide range of fields; and the knowledge, skills, and abilities…

  10. Undergraduate students' perception and Utilization of electronic ...

    African Journals Online (AJOL)

    An evaluation of undergraduate students' perception and utilization of electronic information resources and services was carried out. The population of the study consisted of all registered library users in the 2014/2015 academic session. The total population of the study was 4, 211 registered users. Accidental sampling ...

  11. Undergraduate Students’Evaluation Criteria When Using Web Resources for Class Papers

    Directory of Open Access Journals (Sweden)

    Tsai-Youn Hung

    2004-09-01

    Full Text Available The growth in popularity of the World Wide Web has dramatically changed the way undergraduate students conduct information searches. The purpose of this study is to investigate what core quality criteria undergraduate students use to evaluate Web resources for their class papers and to what extent they evaluate the Web resources. This study reports on five Web page evaluations and a questionnaire survey of thirty five undergraduate students in the Information Technology and Informatics Program at Rutgers University. Results show that undergraduate students have become increasingly sophisticated about using Web resources, but not yet sophisticated about searching them. Undergraduate students only used one or two surface quality criteria to evaluate Web resources. They made immediate judgments about the surface features of Web pages and ignored the content of the documents themselves. This research suggests that undergraduate instructors should take the responsibility for instructing students on basic Web use knowledge or work with librarians to develop undergraduate students information literacy skills.

  12. Extracting information on the spatial variability in erosion rate stored in detrital cooling age distributions in river sands

    Science.gov (United States)

    Braun, Jean; Gemignani, Lorenzo; van der Beek, Peter

    2018-03-01

    One of the main purposes of detrital thermochronology is to provide constraints on the regional-scale exhumation rate and its spatial variability in actively eroding mountain ranges. Procedures that use cooling age distributions coupled with hypsometry and thermal models have been developed in order to extract quantitative estimates of erosion rate and its spatial distribution, assuming steady state between tectonic uplift and erosion. This hypothesis precludes the use of these procedures to assess the likely transient response of mountain belts to changes in tectonic or climatic forcing. Other methods are based on an a priori knowledge of the in situ distribution of ages to interpret the detrital age distributions. In this paper, we describe a simple method that, using the observed detrital mineral age distributions collected along a river, allows us to extract information about the relative distribution of erosion rates in an eroding catchment without relying on a steady-state assumption, the value of thermal parameters or an a priori knowledge of in situ age distributions. The model is based on a relatively low number of parameters describing lithological variability among the various sub-catchments and their sizes and only uses the raw ages. The method we propose is tested against synthetic age distributions to demonstrate its accuracy and the optimum conditions for it use. In order to illustrate the method, we invert age distributions collected along the main trunk of the Tsangpo-Siang-Brahmaputra river system in the eastern Himalaya. From the inversion of the cooling age distributions we predict present-day erosion rates of the catchments along the Tsangpo-Siang-Brahmaputra river system, as well as some of its tributaries. We show that detrital age distributions contain dual information about present-day erosion rate, i.e., from the predicted distribution of surface ages within each catchment and from the relative contribution of any given catchment to the

  13. Consumers and their buying decision making based on price and information about corporate social responsibility (CSR. Case study: undergraduate students from a private university in mexico

    Directory of Open Access Journals (Sweden)

    Florina Guadalupe Arredondo Trapero

    2010-10-01

    Full Text Available The articles objective is to demonstrate that a socially responsible consumer is interested of being informed about Corporate Social Responsibility (CSR practices and is also willing to pay a higher price for a product made with CSR. Criteria of price as well as the interest of being informed about CSR practices were the two variables analyzed for the Chi-Square test. Even though CSR was declared as an important issue for the majority of participants, products made with CSR hasn’t achieved much influence in the buying decision making or in the need of being informed about the CSR practices. The need to create social consciousness for consumers to promote CSR practices through the buying decision making was also demonstrated.

  14. What Is Undergraduate Research?

    Science.gov (United States)

    Halstead, Judith A.

    1997-12-01

    The Council on Undergraduate Research promotes and assists development of collaborative student/faculty research at primarily undergraduate colleges and universities. Most science educators today accept such research as a critical component of an undergraduate science education. Research provides the primary opportunity for students to engage in the practice of science. We can draw an analogy between sports training and the education of young scientists. We cannot train future tennis players exclusively by providing them with lectures on tennis and supervising them performing skill-development drills. To become skilled at their game, tennis players must engage in active competition. Similarly, young scientists must engage in the enterprise that affords our understanding of the physical universe. Only by participating in scientific investigation can students understand the nature of science and become scientists.

  15. Successful Engagement of Undergraduate Information Technology Management Students in a Compulsory Course in Ethical Issues in IT in a Large Class Environment

    Science.gov (United States)

    Grant, Candace T.

    2010-01-01

    The inclusion of ethics in business school programs including those focusing on business and Information Technology is seen as an increasingly important issue in curriculum design. This paper describes the planning, development and delivery of such a course in a large IT focused business school. It discusses both course content and teaching…

  16. Undergraduate Program: Philadelphia

    Science.gov (United States)

    Betsock, Lori

    2008-08-01

    Undergraduate chemical science students—join us in Philadelphia on August 17 and 18, 2008, for an educational and career-oriented program designed specifically for you. Attend symposia about global climate change and clean energy; hear Nobel Laureate F. Sherwood Rowland speak about his fascinating career, "A Life in Tracer Chemistry". Weigh options for your future by attending the Graduate School Reality Check and graduate school recruiting events. All events will take place in the Sheraton Philadelphia City Center at 17th and Race Streets, except the Undergraduate Poster Sessions and Sci-Mix, which will be held in the Pennsylvania Convention Center.

  17. Application of Text Information Extraction System for Real-Time Cancer Case Identification in an Integrated Healthcare Organization.

    Science.gov (United States)

    Xie, Fagen; Lee, Janet; Munoz-Plaza, Corrine E; Hahn, Erin E; Chen, Wansu

    2017-01-01

    Surgical pathology reports (SPR) contain rich clinical diagnosis information. The text information extraction system (TIES) is an end-to-end application leveraging natural language processing technologies and focused on the processing of pathology and/or radiology reports. We deployed the TIES system and integrated SPRs into the TIES system on a daily basis at Kaiser Permanente Southern California. The breast cancer cases diagnosed in December 2013 from the Cancer Registry (CANREG) were used to validate the performance of the TIES system. The National Cancer Institute Metathesaurus (NCIM) concept terms and codes to describe breast cancer were identified through the Unified Medical Language System Terminology Service (UTS) application. The identified NCIM codes were used to search for the coded SPRs in the back-end datastore directly. The identified cases were then compared with the breast cancer patients pulled from CANREG. A total of 437 breast cancer concept terms and 14 combinations of "breast"and "cancer" terms were identified from the UTS application. A total of 249 breast cancer cases diagnosed in December 2013 was pulled from CANREG. Out of these 249 cases, 241 were successfully identified by the TIES system from a total of 457 reports. The TIES system also identified an additional 277 cases that were not part of the validation sample. Out of the 277 cases, 11% were determined as highly likely to be cases after manual examinations, and 86% were in CANREG but were diagnosed in months other than December of 2013. The study demonstrated that the TIES system can effectively identify potential breast cancer cases in our care setting. Identified potential cases can be easily confirmed by reviewing the corresponding annotated reports through the front-end visualization interface. The TIES system is a great tool for identifying potential various cancer cases in a timely manner and on a regular basis in support of clinical research studies.

  18. Application of text information extraction system for real-time cancer case identification in an integrated healthcare organization

    Directory of Open Access Journals (Sweden)

    Fagen Xie

    2017-01-01

    Full Text Available Background: Surgical pathology reports (SPR contain rich clinical diagnosis information. The text information extraction system (TIES is an end-to-end application leveraging natural language processing technologies and focused on the processing of pathology and/or radiology reports. Methods: We deployed the TIES system and integrated SPRs into the TIES system on a daily basis at Kaiser Permanente Southern California. The breast cancer cases diagnosed in December 2013 from the Cancer Registry (CANREG were used to validate the performance of the TIES system. The National Cancer Institute Metathesaurus (NCIM concept terms and codes to describe breast cancer were identified through the Unified Medical Language System Terminology Service (UTS application. The identified NCIM codes were used to search for the coded SPRs in the back-end datastore directly. The identified cases were then compared with the breast cancer patients pulled from CANREG. Results: A total of 437 breast cancer concept terms and 14 combinations of “breast” and “cancer” terms were identified from the UTS application. A total of 249 breast cancer cases diagnosed in December 2013 was pulled from CANREG. Out of these 249 cases, 241 were successfully identified by the TIES system from a total of 457 reports. The TIES system also identified an additional 277 cases that were not part of the validation sample. Out of the 277 cases, 11% were determined as highly likely to be cases after manual examinations, and 86% were in CANREG but were diagnosed in months other than December of 2013. Conclusions: The study demonstrated that the TIES system can effectively identify potential breast cancer cases in our care setting. Identified potential cases can be easily confirmed by reviewing the corresponding annotated reports through the front-end visualization interface. The TIES system is a great tool for identifying potential various cancer cases in a timely manner and on a regular basis

  19. Testing risk-taking behavior in Chinese undergraduate students.

    Directory of Open Access Journals (Sweden)

    Xiufang Du

    Full Text Available The DOSPERT, developed by Weber, Blais and Betz, can be used to measure risk behaviors in a variety of domains. We investigated the use of this scale in China. The participants were 1144 undergraduate students. After we removed some items that were not homogeneous, a principal component analysis extracted six components that accounted for 44.48% of the variance, a value similar to that obtained in the analysis conducted by Weber et al. Chinese undergraduates scored higher on the investment subscale compared with the results of Weber's study. The analysis of individual differences indicated that there was a significant gender difference in the ethical, investment and health/safety subscales, where males scored significantly higher than females. The type of home location was also significant on the ethical and health/safety subscales, where undergraduates from the countryside scored lower than undergraduates from cities and towns on the ethical subscale, and undergraduates from towns scored higher than those from other two areas on the health/safety subscale. Male undergraduates from towns scored higher than male undergraduates from other areas on the gambling subscale.

  20. Conducting Mathematical Research with Undergraduates

    Science.gov (United States)

    Roberts, Gareth E.

    2013-01-01

    The notion that undergraduates are capable of making profound and original contributions to mathematical research is rapidly gaining acceptance. Undergraduates bring their enthusiasm, creativity, curiosity, and perseverance to bona fide research problems. This article discusses some of the key issues concerning undergraduate mathematical research:…

  1. Satellite mapping and automated feature extraction: Geographic information system-based change detection of the Antarctic coast

    Science.gov (United States)

    Kim, Kee-Tae

    Declassified Intelligence Satellite Photograph (DISP) data are important resources for measuring the geometry of the coastline of Antarctica. By using the state-of-art digital imaging technology, bundle block triangulation based on tie points and control points derived from a RADARSAT-1 Synthetic Aperture Radar (SAR) image mosaic and Ohio State University (OSU) Antarctic digital elevation model (DEM), the individual DISP images were accurately assembled into a map quality mosaic of Antarctica as it appeared in 1963. The new map is one of important benchmarks for gauging the response of the Antarctic coastline to changing climate. Automated coastline extraction algorithm design is the second theme of this dissertation. At the pre-processing stage, an adaptive neighborhood filtering was used to remove the film-grain noise while preserving edge features. At the segmentation stage, an adaptive Bayesian approach to image segmentation was used to split the DISP imagery into its homogenous regions, in which the fuzzy c-means clustering (FCM) technique and Gibbs random field (GRF) model were introduced to estimate the conditional and prior probability density functions. A Gaussian mixture model was used to estimate the reliable initial values for the FCM technique. At the post-processing stage, image object formation and labeling, removal of noisy image objects, and vectorization algorithms were sequentially applied to segmented images for extracting a vector representation of coastlines. Results were presented that demonstrate the effectiveness of the algorithm in segmenting the DISP data. In the cases of cloud cover and little contrast scenes, manual editing was carried out based on intermediate image processing and visual inspection in comparison of old paper maps. Through a geographic information system (GIS), the derived DISP coastline data were integrated with earlier and later data to assess continental scale changes in the Antarctic coast. Computing the area of

  2. Serial Processing is Consistent With the Time Course of Linguistic Information Extraction from Consecutive Words During Eye Fixations in Reading: A Response to Inhoff, Eiter, and Radach (2005)

    Science.gov (United States)

    Pollatsek, Alexander; Reichle, Erik D.; Rayner, Keith

    2006-01-01

    In their article, "Time Course of Linguistic Information Extraction from Consecutive Words During Eye Fixations in Reading," A. W. Inhoff, B. M. Eiter, and R. Radach (see EJ735287) reported the results of two experiments that they claimed were problematic for serial attention models of eye movements in reading (such as the E-Z Reader…

  3. [Tree-crown information extraction of farmland returned to forests using QuickBird image based on object-oriented approach].

    Science.gov (United States)

    Wu, Jian; Peng, Dao-li

    2010-09-01

    The improvement of segmentation algorithm and the optimization of feature space are the key factors of improving the accuracy of tree-crown information extraction, and are also the urgent problems of tree-crown information extraction using high resolution images. In the present study, the spectral threshold method was used on the first-class segmentation of QuickBird multi-spectral image to obtain vegetation regions. On the second-class segmentation, the improved algorithm based on edge wa used to segment the panchromatic image, which was processed by the non-linear filtering. Afterwards, the feature space consisting of spectrum, shape and texture features was selected to extract tree-crown information. Finally, 300 random samples and an error matrix were applied to undertake the accuracy assessment of identification. Although errors and confusion exist, this method shows satisfying results with an overall accuracy of 84.67% and a KAPPA coefficient of 0.7953. The corresponding results of the traditional method are 67.67% and 0.6273. The method in this paper can achieve a more precise information extraction of the tree-crown and the results can meet the demand of accurate monitoring and decision-making.

  4. Using positive and negative patterns to extract information from journal articles regarding the regulation of a target gene by a transcription factor.

    Science.gov (United States)

    Wang, Hei Chia; Kooi, Tock-Kheng; Kao, Hung-Yu; Lin, Shih Chieh; Tsai, Shaw-Jenq

    2013-12-01

    Gene regulation research concerns the regulatory relationship between transcription factors (TFs) and their target genes (TGenes). Due to the rapid acceleration of biological research, it is impractical for biologists to read all of the relevant literature and manually extract all of the information about the regulatory relationships between a TF and its TGenes. This paper proposes a method utilizing negative and positive textual patterns to extract regulatory information regarding certain TF-TGene pairs, which provides insightful information to biologists and saves them time from excessive literature reading. We hypothesized that the negative patterns could be used for filtering and that the system would mainly rely on the positive patterns to mine the regulatory TF-TGene relationships from the text. We also examined whether WordNet could be utilized to improve the pattern recognition performance. The results show that the negative pattern should be used for initial filtering, and then the positive patterns can extract information related to gene regulation. Moreover, WordNet seems to have little effect on the performance when extracting gene regulations. © 2013 Published by Elsevier Ltd.

  5. Wagging ETOM's Long Tail: MOOCs, Hangouts on Air, and Formal and Informal Undergraduate Experiences with Climate Change Science and Clean Energy Solutions

    Science.gov (United States)

    Haines-Stiles, G.; Alley, R. B.; Akuginow, E.; McNeal, K.; Blockstein, D.

    2014-12-01

    Climate change can reasonably be described as a "wicked problem" meaning that it is complex, difficult and multi-faceted, although critical to equitable development and the sustainability of human civilization. But while the Wikipedia definition says such problems are "impossible" to solve, not even to try will lead to certain failure. "Earth: The Operators' Manual" (ETOM) was an NSF-funded informal science education project with 3 hour-long TV programs appearing on PBS in 2011 and 2012, along with live presentations by series host, Penn State's Richard Alley, and others at 5 major science centers. Uniquely among climate change programming, ETOM gave equal time to identifying solutions along with climate science, and made all its materials freely available via YouTube. Formal and informal science educators can register to download HD videos for classroom and outreach use, and signups have ranged from middle schools to 4-year colleges. Building on the success of the series and Alley's companion tradebook of the same name, Penn State working with Coursera invited Alley to develop a MOOC entitled "Energy, The Environment and Our Future" that similarly combined the essential science along with clean energy solutions. The course reached more than 30,000 students in the first semester of 2014. More recently the ETOM team has partnered with the National Council for Science and the Environment (NCSE) to develop "READ for the EARTH," an NSF EAGER project, offering campuses the opportunity to adopt Alley's book, the ETOM videos (including "How To Talk To An Ostrich"), NCSE's www.CAMELclimatechange.org web site and other resources for both formal and informal uses. Some campuses have used the book with honors classes, and some are exploring adapting ETOM as a first year reading experience for all freshman. Our presentation will share reactions to the MOOC, to the pilot phases of "READ for the EARTH" and present both qualitative and quantitative results. Some of the most

  6. A COMPARATIVE ANALYSIS OF WEB INFORMATION EXTRACTION TECHNIQUES DEEP LEARNING vs. NAÏVE BAYES vs. BACK PROPAGATION NEURAL NETWORKS IN WEB DOCUMENT EXTRACTION

    OpenAIRE

    J. Sharmila; A. Subramani

    2016-01-01

    Web mining related exploration is getting the chance to be more essential these days in view of the reason that a lot of information is overseen through the web. Web utilization is expanding in an uncontrolled way. A particular framework is required for controlling such extensive measure of information in the web space. Web mining is ordered into three noteworthy divisions: Web content mining, web usage mining and web structure mining. Tak-Lam Wong has proposed a web content mining methodolog...

  7. An analytical framework for extracting hydrological information from time series of small reservoirs in a semi-arid region

    Science.gov (United States)

    Annor, Frank; van de Giesen, Nick; Bogaard, Thom; Eilander, Dirk

    2013-04-01

    small reservoirs in the Upper East Region of Ghana. Reservoirs without obvious large seepage losses (field survey) were selected. To verify this, stable water isotopic samples are collected from groundwater upstream and downstream from the reservoir. By looking at possible enrichment of downstream groundwater, a good estimate of seepage can be made in addition to estimates on evaporation. We estimated the evaporative losses and compared those with field measurements using eddy correlation measurements. Lastly, we determined the cumulative surface runoff curves for the small reservoirs .We will present this analytical framework for extracting hydrological information from time series of small reservoirs and show the first results for our study region of northern Ghana.

  8. The use of team-based learning in a second year undergraduate pre-registration nursing course on evidence-informed decision making.

    Science.gov (United States)

    Morris, Jenny

    2016-11-01

    More engaging teaching and learning strategies are needed to teach research-related courses to pre-registration nursing students. Team-based learning was implemented within a second year pre-registration nursing evidence-informed decision making course. Results from a questionnaire survey indicated that 70% believed team-based learning was appropriate for the course, 60% that it was an effective and motivating learning strategy, and 54% recommended using team-based learning in other courses. The results from ten student interviews illustrated the positive way in which team-based learning was perceived, and how the students thought it contributed to their learning. Test results were improved with an increase in the numbers of students achieving 70% or higher; and higher scores for students in the lowest quartile. Team-based learning was shown to be an effective strategy that preserved the benefits of small group teaching with large student groups. Crown Copyright © 2016. Published by Elsevier Ltd. All rights reserved.

  9. Use of feature extraction techniques for the texture and context information in ERTS imagery: Spectral and textural processing of ERTS imagery. [classification of Kansas land use

    Science.gov (United States)

    Haralick, R. H. (Principal Investigator); Bosley, R. J.

    1974-01-01

    The author has identified the following significant results. A procedure was developed to extract cross-band textural features from ERTS MSS imagery. Evolving from a single image texture extraction procedure which uses spatial dependence matrices to measure relative co-occurrence of nearest neighbor grey tones, the cross-band texture procedure uses the distribution of neighboring grey tone N-tuple differences to measure the spatial interrelationships, or co-occurrences, of the grey tone N-tuples present in a texture pattern. In both procedures, texture is characterized in such a way as to be invariant under linear grey tone transformations. However, the cross-band procedure complements the single image procedure by extracting texture information and spectral information contained in ERTS multi-images. Classification experiments show that when used alone, without spectral processing, the cross-band texture procedure extracts more information than the single image texture analysis. Results show an improvement in average correct classification from 86.2% to 88.8% for ERTS image no. 1021-16333 with the cross-band texture procedure. However, when used together with spectral features, the single image texture plus spectral features perform better than the cross-band texture plus spectral features, with an average correct classification of 93.8% and 91.6%, respectively.

  10. Undergraduate Program: New Orleans

    Science.gov (United States)

    Betsock, Lori

    2008-03-01

    Undergraduate chemical science students—join us in New Orleans on April 6-7, 2008 for an educational program designed specifically for you. Attend symposia on chemistry in sports and health and learn how it impacts your life everyday; meet with graduate school recruiters. Focus on your professional future in chemistry by learning more about careers in public health and how to communicate and work effectively with cross-functional teams. Hear eminent scientist Richard B. Silverman (John Evans Professor of Chemistry, Northwestern University and author of The Organic Chemistry of Drug Design and Drug Action 2004) speak about "Drug Discovery: Ingenuity or Serendipity?" All events will take place at the Hilton Riverside Hotel in New Orleans, except the Undergraduate Research Poster Sessions and Sci-Mix, both of which will be held in Hall A of the Ernest N. Morial Convention Center.

  11. Researching with undergraduate students

    DEFF Research Database (Denmark)

    Wulf-Andersen, Trine Østergaard; Mogensen, Kevin; Hjort-Madsen, Peder

    2013-01-01

    The article presents a particular case of undergraduate students working on subprojects within the framework of their supervisors' (the authors') research project during Autumn Semester 2012 and Spring Semester 2013. The article's purpose is to show that an institutionalized focus on students...... as "research learners" rather than merely curriculum learners proves productive for both research and teaching. We describe the specific university learning context and the particular organization of undergraduate students' supervision and assistantships. The case builds on and further enhances a well......-established and proven university model of participant-directed, problem-oriented project work. We explore students' and researchers' experiences of being part of the collaboration, focusing on learning potentials and dilemmas associated with the multiple roles of researcher and student that characterized...

  12. Undergraduate Students with Strong Tendencies Towards Critical Thinking Experience Less Library Anxiety. A Review of: Kwon, Nahyun. “A Mixed‐Methods Investigation of the Relationship between Critical Thinking and Library Anxiety among Undergraduate Students in their Information Search Process.” College & Research Libraries 69.2 (2008: 117‐31.

    Directory of Open Access Journals (Sweden)

    Cari Merkley

    2009-12-01

    Full Text Available Objective – To investigate the nature of the association between a student’s critical thinking disposition and the extent to which they suffer from library anxiety.Design – Standardized quantitative survey instruments and a qualitative content analysis of student essays.Setting – A state (publically funded research university located in the southeast United States.Subjects – 137 undergraduate students enrolled in the Library and Research Skills course.Methods – Undergraduate students enrolled in the three‐credit course Library and Research Skills during the spring 2006 semester were invited to participate in the study. Of 180 students registered in the course, 137 volunteered to take part. Data collection took place in the first two weeks of the semester. Participants were asked to complete two standardized survey instruments: the California Critical Thinking Disposition Inventory (CCTDI and the Library Anxiety Scale (LAS. The purpose of the CCTDI is to “measure a person’s disposition to use critical thinking” (119. The instrument consists of seven scales: “truth‐seeking”; “open-mindedness”; “analyticity”; “systematicity”; “critical thinking self‐confidence”; “inquisitiveness”; and “maturity” (119. “Truth‐seeking” is a commitment to seeking answers even if the process proves difficult or reveals information outside of one’s belief system, “systematicity” is defined as an organized approach to problem solving, and “maturity” is the ability to make “reflective decisions when facing ill‐structured problem situations” (119. “Analyticity” refers to a subject’s ability to anticipate possible outcomes, “open‐mindedness” to being open to different points of view, “critical thinking self‐ confidence” to a belief in one’s own critical thinking skills, and “inquisitiveness” to “intellectual curiosity” (119. Participants scored 75 items using a six

  13. National Undergraduate Medical Core Curriculum in Turkey: Evaluation of Residents

    OpenAIRE

    Budakoğlu, Işıl İrem; Coşkun, Özlem; Ergün, Mehmet Ali

    2014-01-01

    Background: There is very little information available on self-perceived competence levels of junior medical doctors with regard to definitions by the National Core Curriculum (NCC) for Undergraduate Medical Education. Aims: This study aims to determine the perceived level of competence of residents during undergraduate medical education within the context of the NCC. Study Design: Descriptive study. Methods: The survey was conducted between February 2010 and December ...

  14. National Undergraduate Medical Core Curriculum in Turkey: Evaluation of Residents

    OpenAIRE

    Budakoğlu, Işıl İrem; Coşkun, Özlem; Ergün, Mehmet Ali

    2014-01-01

    Background: There is very little information available on self-perceived competence levels of junior medical doctors with regard to definitions by the National Core Curriculum (NCC) for Undergraduate Medical Education. Aims: This study aims to determine the perceived level of competence of residents during undergraduate medical education within the context of the NCC. Study Design: Descriptive study. Methods: The survey was conducted between February 2010 and Dec...

  15. Extraction of wind and temperature information from hybrid 4D-Var assimilation of stratospheric ozone using NAVGEM

    Directory of Open Access Journals (Sweden)

    D. R. Allen

    2018-03-01

    Full Text Available Extraction of wind and temperature information from stratospheric ozone assimilation is examined within the context of the Navy Global Environmental Model (NAVGEM hybrid 4-D variational assimilation (4D-Var data assimilation (DA system. Ozone can improve the wind and temperature through two different DA mechanisms: (1 through the flow-of-the-day ensemble background error covariance that is blended together with the static background error covariance and (2 via the ozone continuity equation in the tangent linear model and adjoint used for minimizing the cost function. All experiments assimilate actual conventional data in order to maintain a similar realistic troposphere. In the stratosphere, the experiments assimilate simulated ozone and/or radiance observations in various combinations. The simulated observations are constructed for a case study based on a 16-day cycling truth experiment (TE, which is an analysis with no stratospheric observations. The impact of ozone on the analysis is evaluated by comparing the experiments to the TE for the last 6 days, allowing for a 10-day spin-up. Ozone assimilation benefits the wind and temperature when data are of sufficient quality and frequency. For example, assimilation of perfect (no applied error global hourly ozone data constrains the stratospheric wind and temperature to within ∼ 2 m s−1 and ∼ 1 K. This demonstrates that there is dynamical information in the ozone distribution that can potentially be used to improve the stratosphere. This is particularly important for the tropics, where radiance observations have difficulty constraining wind due to breakdown of geostrophic balance. Global ozone assimilation provides the largest benefit when the hybrid blending coefficient is an intermediate value (0.5 was used in this study, rather than 0.0 (no ensemble background error covariance or 1.0 (no static background error covariance, which is consistent with other hybrid DA studies. When

  16. Extraction of wind and temperature information from hybrid 4D-Var assimilation of stratospheric ozone using NAVGEM

    Science.gov (United States)

    Allen, Douglas R.; Hoppel, Karl W.; Kuhl, David D.

    2018-03-01

    Extraction of wind and temperature information from stratospheric ozone assimilation is examined within the context of the Navy Global Environmental Model (NAVGEM) hybrid 4-D variational assimilation (4D-Var) data assimilation (DA) system. Ozone can improve the wind and temperature through two different DA mechanisms: (1) through the flow-of-the-day ensemble background error covariance that is blended together with the static background error covariance and (2) via the ozone continuity equation in the tangent linear model and adjoint used for minimizing the cost function. All experiments assimilate actual conventional data in order to maintain a similar realistic troposphere. In the stratosphere, the experiments assimilate simulated ozone and/or radiance observations in various combinations. The simulated observations are constructed for a case study based on a 16-day cycling truth experiment (TE), which is an analysis with no stratospheric observations. The impact of ozone on the analysis is evaluated by comparing the experiments to the TE for the last 6 days, allowing for a 10-day spin-up. Ozone assimilation benefits the wind and temperature when data are of sufficient quality and frequency. For example, assimilation of perfect (no applied error) global hourly ozone data constrains the stratospheric wind and temperature to within ˜ 2 m s-1 and ˜ 1 K. This demonstrates that there is dynamical information in the ozone distribution that can potentially be used to improve the stratosphere. This is particularly important for the tropics, where radiance observations have difficulty constraining wind due to breakdown of geostrophic balance. Global ozone assimilation provides the largest benefit when the hybrid blending coefficient is an intermediate value (0.5 was used in this study), rather than 0.0 (no ensemble background error covariance) or 1.0 (no static background error covariance), which is consistent with other hybrid DA studies. When perfect global ozone is

  17. INFORMATION MANAGERx

    African Journals Online (AJOL)

    USER

    that college undergraduate students have difficulties in using available tools in their libraries to find information they need ... to college without proficient information literacy skills and this deficiency plays out in their practical .... conduct independent legal research increased dramatically among students in a legal assistant.

  18. The inclusion of LGBT+ health issues within undergraduate healthcare education and professional training programmes: A systematic review.

    Science.gov (United States)

    McCann, Edward; Brown, Michael

    2018-05-01

    An inclusive health curriculum within undergraduate and continuing professional development programmes (CPD) should include issues related to people whom identify as LGBT+. The aim of this systematic review was to examine the education and training requirements of undergraduate students and health professionals regarding the inclusion of LGBT+ health issues. A systematic review of the available published empirical studies. A systematic literature search was undertaken of the following databases: CINAHL, PubMed, PsycINFO, Embase and Sociological Abstracts. All papers reviewed were from the years 2007 to 2017 and written in English. Three research questions informing the literature review were: (i) What are the education and training requirements of undergraduate students and health professionals regarding the health needs of LGBT+ people? (ii) What are the approaches utilized in the education and training of undergraduate students and health professionals regarding the health needs of LGBT+ people? (iii) What are the best practice examples of the education and training of undergraduate students and health professionals? Following the application of definitive criteria, 22 papers were included in the review. Quality appraisal and data extraction was undertaken by the two authors. The 22 papers were reviewed in detail in the final data analysis and synthesis where four main themes were identified: (1) Cultural competence and inclusivity. (2) Existing knowledge of LGBT+ health-related issues. (3) Curriculum developments and outcomes. (4) Evidence of best practice in education delivery. The review highlights the importance of the inclusion of LGBT+ health-related issues within the health curriculum and continuing professional development programmes and the implications for education and training, clinical practice and research. Copyright © 2018 Elsevier Ltd. All rights reserved.

  19. Information Technology and Undergraduate Medical Education.

    Science.gov (United States)

    Masys, Daniel R.

    1989-01-01

    Hewlett-Packard Corporation grant enabled Harvard Medical School to begin using computer technology in medical educational applications. Hardware and software selection, integration into the curriculum, teaching the use of computers, cost, successful applications, knowledge base access, simulations, video and graphics teaching programs, and…

  20. A simple method to extract information on anisotropy of particle fluxes from spin-modulated counting rates of cosmic ray telescopes

    International Nuclear Information System (INIS)

    Hsieh, K.C.; Lin, Y.C.; Sullivan, J.D.

    1975-01-01

    A simple method to extract information on anisotropy of particle fluxes from data collected by cosmic ray telescopes on spinning spacecraft but without sectored accumulators is presented. Application of this method to specific satellite data demonstrates that it requires no prior assumption on the form of angular distribution of the fluxes; furthermore, self-consistency ensures the validity of the results thus obtained. The examples show perfect agreement with the corresponding magnetic field directions

  1. Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries.

    Science.gov (United States)

    Xu, Yan; Hong, Kai; Tsujii, Junichi; Chang, Eric I-Chao

    2012-01-01

    A system that translates narrative text in the medical domain into structured representation is in great demand. The system performs three sub-tasks: concept extraction, assertion classification, and relation identification. The overall system consists of five steps: (1) pre-processing sentences, (2) marking noun phrases (NPs) and adjective phrases (APs), (3) extracting concepts that use a dosage-unit dictionary to dynamically switch two models based on Conditional Random Fields (CRF), (4) classifying assertions based on voting of five classifiers, and (5) identifying relations using normalized sentences with a set of effective discriminating features. Macro-averaged and micro-averaged precision, recall and F-measure were used to evaluate results. The performance is competitive with the state-of-the-art systems with micro-averaged F-measure of 0.8489 for concept extraction, 0.9392 for assertion classification and 0.7326 for relation identification. The system exploits an array of common features and achieves state-of-the-art performance. Prudent feature engineering sets the foundation of our systems. In concept extraction, we demonstrated that switching models, one of which is especially designed for telegraphic sentences, improved extraction of the treatment concept significantly. In assertion classification, a set of features derived from a rule-based classifier were proven to be effective for the classes such as conditional and possible. These classes would suffer from data scarcity in conventional machine-learning methods. In relation identification, we use two-staged architecture, the second of which applies pairwise classifiers to possible candidate classes. This architecture significantly improves performance.

  2. An image-processing strategy to extract important information suitable for a low-size stimulus pattern in a retinal prosthesis.

    Science.gov (United States)

    Chen, Yili; Fu, Jixiang; Chu, Dawei; Li, Rongmao; Xie, Yaoqin

    2017-11-27

    A retinal prosthesis is designed to help the blind to obtain some sight. It consists of an external part and an internal part. The external part is made up of a camera, an image processor and an RF transmitter. The internal part is made up of an RF receiver, implant chip and microelectrode. Currently, the number of microelectrodes is in the hundreds, and we do not know the mechanism for using an electrode to stimulate the optic nerve. A simple hypothesis is that the pixels in an image correspond to the electrode. The images captured by the camera should be processed by suitable strategies to correspond to stimulation from the electrode. Thus, it is a question of how to obtain the important information from the image captured in the picture. Here, we use the region of interest (ROI), a useful algorithm for extracting the ROI, to retain the important information, and to remove the redundant information. This paper explains the details of the principles and functions of the ROI. Because we are investigating a real-time system, we need a fast processing ROI as a useful algorithm to extract the ROI. Thus, we simplified the ROI algorithm and used it in an outside image-processing digital signal processing (DSP) system of the retinal prosthesis. The results show that our image-processing strategies are suitable for a real-time retinal prosthesis and can eliminate redundant information and provide useful information for expression in a low-size image.

  3. Sage for undergraduates

    CERN Document Server

    Bard, Gregory V

    2015-01-01

    Professor Bard has provided a valuable service by carefully explaining everything an undergraduate student of mathematics, or a teacher of these topics, needs to get started with Sage quickly and easily. It will also be useful for any student or teacher of another STEM discipline. There is an excellent mix of the most frequently used commands, along with warnings about common pitfalls or caveats. I highly recommend it for anyone new to Sage, or who desires an overview of the system's impressive capabilities. -Robert A. Beezer, University of Puget Sound This book is a sort of "Missing Manual"

  4. Web based students support service for the undergraduate college students

    OpenAIRE

    Dutta, Bidyarthi; Das, Anup Kumar

    2004-01-01

    The students of undergraduate colleges are seeking various kinds of information related to their curricula and future career planning. They most often visit college libraries for these sorts of information, but college libraries cannot provide sufficient information to the students as those are rarely systematically arranged. The frequently asked information could be provided, if the college librarians have the ready reference information tools. A college library can propose to develop CD-ROM...

  5. Researching Undergraduate Social Science Research

    Science.gov (United States)

    Rand, Jane

    2016-01-01

    The experience(s) of undergraduate research students in the social sciences is under-represented in the literature in comparison to the natural sciences or science, technology, engineering and maths (STEM). The strength of STEM undergraduate research learning environments is understood to be related to an apprenticeship-mode of learning supported…

  6. Undergraduate students' perceived academic environmental ...

    African Journals Online (AJOL)

    This study examined the relationship between undergraduates' perception of the academic environment, their attitude to academic work and achievement. A total of 348 undergraduates who formed the sample were drawn from five departments in three universities in Nigeria. The study revealed that four dimensions of the ...

  7. Matrix groups for undergraduates

    CERN Document Server

    Tapp, Kristopher

    2016-01-01

    Matrix groups touch an enormous spectrum of the mathematical arena. This textbook brings them into the undergraduate curriculum. It makes an excellent one-semester course for students familiar with linear and abstract algebra and prepares them for a graduate course on Lie groups. Matrix Groups for Undergraduates is concrete and example-driven, with geometric motivation and rigorous proofs. The story begins and ends with the rotations of a globe. In between, the author combines rigor and intuition to describe the basic objects of Lie theory: Lie algebras, matrix exponentiation, Lie brackets, maximal tori, homogeneous spaces, and roots. This second edition includes two new chapters that allow for an easier transition to the general theory of Lie groups. From reviews of the First Edition: This book could be used as an excellent textbook for a one semester course at university and it will prepare students for a graduate course on Lie groups, Lie algebras, etc. … The book combines an intuitive style of writing w...

  8. Üniversite Öğrencilerinin Bilgi Okuryazarlığı Becerilerinin Değerlendirilmesi: Ankara Üniversitesi Örneği=Assessing Information Literacy Skills of Undergraduate Students: Sample of Ankara University

    Directory of Open Access Journals (Sweden)

    Nevzat Özel

    2016-12-01

    society, individuals are expected to be literate and have the ability to define information needs, to access information sources, to evaluate these resources, to integrate newly acquired knowledge with existing information, to use information appropriately and ethically, and to have the ability to inform / present information. Information literacy training programs to be prepared by university librarians play an important role when students have these skills. In this research, it was aimed to determine the skills of the undergraduate students of Ankara University in searching, accessing, evaluating, using, transmitting / presenting their information and their education status. The study using the descriptive method was conducted on a sample of 245 students selected by stratified random sampling from 39,136 students at Ankara University and the obtained data was analyzed using Predictive Analytics SoftWare 18 software. As a result of the research, it has been determined that the students have difficulty in advanced and more detailed information, have not received any training on information literacy skills and need training activities to be organized in this respect.

  9. Critical Appraisal of Information on the Web in Practice: Undergraduate Students’ Knowledge, Reported Use, and Behaviour / Évaluation critique de l’information sur la toile : une vision pratique : les connaissances des étudiants de premier cycle, leur uti

    Directory of Open Access Journals (Sweden)

    Neil R. Hogan

    2012-02-01

    Full Text Available Undergraduates use a wide range of information resources for academic and nonacademic purposes, including web sites that range from credible, peer reviewed, online journal sites, to biased and inaccurate promotional web sites. Students are taught basic critical appraisal skills, but do they apply these skills to make decisions about information in different web sites? In an experimental setting, undergraduate students examined pairs of web sites containing conflicting information based on different aspects of critical appraisal, namely credibility of the author of the information, purpose of the web site, and last update of the site, and answered multiple choice questions about the conflicting information. Results indicated that students failed to use critical appraisal criteria, and that while knowledge of and self-reported use of these criteria were related to each other, they were not related to behaviour. This research demonstrates the need for alternative strategies for critical appraisal instruction and assessment. Les étudiants de premier cycle consultent une vaste gamme de sources d’information à des fins universitaires et non universitaires, y compris des sites Web allant de revues en ligne crédibles et évaluées par des pairs à des sites Web promotionnels partials et inexacts. On enseigne aux étudiants des méthodes de base d’évaluation critique, mais mettent-ils ces méthodes en pratique pour prendre des décisions relativement à l’information tirée de différents sites Web? Dans un cadre expérimental, les étudiants de premier cycle ont étudié des paires de sites Web contenant des informations contradictoires en se fondant sur différents aspects de l’évaluation critique, notamment la crédibilité de l’auteur de l’information, l’intention du site Web et la dernière mise à jour du site, et ont répondu à des questions à choix multiples concernant les informations contradictoires. Les r

  10. Informatics teaching in undergraduate nursing programs at Brazilian public institutions Enseñanza de informática en la graduación en enfermería de instituciones públicas Brasileñas Ensino da informática na graduação em Enfermagem de instituições públicas Brasileiras

    Directory of Open Access Journals (Sweden)

    Luiz Miguel Picelli Sanches

    2011-12-01

    Full Text Available This descriptive study aimed to verify the inclusion of subjects about informatics in undergraduate nursing programs at Brazilian (state and federal public education institutions. The programs were located through the e-MEC system. The Internet was used to search for the curricula of the campuses offering the nursing program and identify subjects related to informatics. Eighty-one higher education institutions and 123 campuses were located. Only 100 campuses provided the curriculum on the Internet, 35 of which offered the subject. The highest proportion occurred in the Northeast (46.1% and the lowest in the North (8.6%. The subject is mostly offered as an elective discipline (57% in the first and second year (80%, with an average workload of 47 classroom hours. The low supply of this undergraduate subject goes against job market trends and the National Curriculum Guidelines for Undergraduate Nursing Programs.Este estudio descriptivo objetivó verificar la inclusión de disciplinas relacionadas a la informática en los cursos de graduación en enfermería de instituciones de enseñanza superior federales y estatales brasileñas. Los cursos de graduación fueron localizados por el sistema e-MEC. La búsqueda del plan de estudios de los campus que ofrecían el curso de enfermería fue realizada por la internet, identificando disciplinas relacionadas a la informática. Fueron localizadas 81 instituciones de enseñanza superior y 123 campus. Apenas 100 campus disponen el plan de estudios en la internet y, de estos, 35 campus ofrecían la disciplina. La mayor proporción ocurrió en la región noreste (46,1% y, la menor, en la región norte (8,6%. La disciplina es ofrecida con mayor frecuencia como electiva (57%, en el primero y segundo año del curso (80%, con carga horaria promedio de 47 horas-clase. La baja oferta de la disciplina en la graduación contraría las tendencias del mercado de trabajo y de las Directrices Curriculares Nacionales del

  11. Information

    International Nuclear Information System (INIS)

    Boyard, Pierre.

    1981-01-01

    The fear for nuclear energy and more particularly for radioactive wastes is analyzed in the sociological context. Everybody agree on the information need, information is available but there is a problem for their diffusion. Reactions of the public are analyzed and journalists, scientists and teachers have a role to play [fr

  12. Developing Effective Undergraduate Research Experience

    Science.gov (United States)

    Evans, Michael; Ilie, Carolina C.

    2011-03-01

    Undergraduate research is a valuable educational tool for students pursuing a degree in physics, but these experiences can become problematic and ineffective if not handled properly. Undergraduate research should be planned as an immersive learning experience in which the student has the opportunity to develop his/her skills in accordance with their interests. Effective undergraduate research experiences are marked by clear, measurable objectives and frequent student-professor collaboration. These objectives should reflect the long and short-term goals of the individual undergraduates, with a heightened focus on developing research skills for future use. 1. Seymour, E., Hunter, A.-B., Laursen, S. L. and DeAntoni, T. (2004), ``Establishing the benefits of research experiences for undergraduates in the sciences: First findings from a three-year study''. Science Education, 88: 493--534. 2. Behar-Horenstein, Linda S., Johnson, Melissa L. ``Enticing Students to Enter Into Undergraduate Research: The Instrumentality of an Undergraduate Course.'' Journal of College Science Teaching 39.3 (2010): 62-70.

  13. perception of undergraduates of undergraduates' about computer

    African Journals Online (AJOL)

    eobe

    following seven categories of unethical of ICTs: computer crime and comp software theft and intellectual pro computer hacking and creating of viru and information systems failure; invas the social implications of artificial in expert systems; and workplace compu handle these problems, identifying the meaning of computer an.

  14. Pattern of Smartphones Utilisation among Engineering Undergraduates

    Directory of Open Access Journals (Sweden)

    Muliati Sedek

    2014-04-01

    Full Text Available The smartphones ownership among the undergraduates in Malaysia was recorded as high. However, little was known about its utilization patterns, thus, the focus of this research was to determine the utilisation patterns of smartphones based on the National Education Technology Standard for Students (NETS.S among engineering undergraduates in Malaysia. This study was based on a quantitative research and the population comprised undergraduates from four Malaysian Technical Universities. A total of 400 questionnaires were analyzed. Based on the results, the undergraduates’ utilisation level of smartphones for communication and collaboration tool was at a high level. Meanwhile, utilisation for operations and concepts tool and research and information fluency tool were at moderate level. Finally, smartphones utilisation as digital citizenship tool and critical thinking, problem solving and creativity tool were both at a low level. Hence, more training and workshops should be given to the students in order to encourage them to fully utilise smartphones in enhancing the higher order thinking skills.

  15. Undergraduate paramedic students cannot do drug calculations

    Science.gov (United States)

    Eastwood, Kathryn; Boyle, Malcolm J; Williams, Brett

    2012-01-01

    BACKGROUND: Previous investigation of drug calculation skills of qualified paramedics has highlighted poor mathematical ability with no published studies having been undertaken on undergraduate paramedics. There are three major error classifications. Conceptual errors involve an inability to formulate an equation from information given, arithmetical errors involve an inability to operate a given equation, and finally computation errors are simple errors of addition, subtraction, division and multiplication. The objective of this study was to determine if undergraduate paramedics at a large Australia university could accurately perform common drug calculations and basic mathematical equations normally required in the workplace. METHODS: A cross-sectional study methodology using a paper-based questionnaire was administered to undergraduate paramedic students to collect demographical data, student attitudes regarding their drug calculation performance, and answers to a series of basic mathematical and drug calculation questions. Ethics approval was granted. RESULTS: The mean score of correct answers was 39.5% with one student scoring 100%, 3.3% of students (n=3) scoring greater than 90%, and 63% (n=58) scoring 50% or less, despite 62% (n=57) of the students stating they ‘did not have any drug calculations issues’. On average those who completed a minimum of year 12 Specialist Maths achieved scores over 50%. Conceptual errors made up 48.5%, arithmetical 31.1% and computational 17.4%. CONCLUSIONS: This study suggests undergraduate paramedics have deficiencies in performing accurate calculations, with conceptual errors indicating a fundamental lack of mathematical understanding. The results suggest an unacceptable level of mathematical competence to practice safely in the unpredictable prehospital environment. PMID:25215067

  16. Sleep habits in Nigerian undergraduates.

    Science.gov (United States)

    Oluwole, O S A

    2010-01-01

    Quantity of night sleep is shorter than 8 h in several developed countries, but similar data is not available for most African countries. The objective of this study was to describe the quantity of night sleep, factors that are associated with non-restorative sleep, and sleep habits in a population of undergraduates in Nigeria. Questionnaires were used to collect information about bedtimes, waketimes, intra-night awakenings, non-restorative sleep, and afternoon naps over a period of 14 days. Mean duration of night sleep was 6.2 h (median 6.0, range 4.5-9.3), while mean duration of daytime naps was 70 min (median 75, range 10-315). Duration of night sleep was associated with day of the week and gender, but not with BMI. Non-restorative sleep, which occurred 25% of total sleep times, was associated with night sleep sleep awakening occurred 58.5% of total sleep times. Afternon naps were taken by 225 (82%) of subjects. Duration of night sleep in this African population is not longer than the duration in Western countries. Intra-night awakening and non-restorative sleep; however, occur more frequently, and afternoon nap is usually in excess of 1 h.

  17. Teaching Undergraduate Mathematics in Interactive Groups: How Does It Fit with Students' Learning?

    Science.gov (United States)

    Sheryn, Louise; Ell, Fiona

    2014-01-01

    Debates about how undergraduate mathematics should be taught are informed by different views of what it is to learn and to do mathematics. In this qualitative study 10 students enrolled in an advanced undergraduate course in mathematics shared their views about how they best learn mathematics. After participating in a semester-long course in…

  18. Ideas and Approaches for Teaching Undergraduate Research Methods in the Health Sciences

    Science.gov (United States)

    Peachey, Andrew A.; Baller, Stephanie L.

    2015-01-01

    Training in research methodology is becoming more commonly expected within undergraduate curricula designed to prepare students for entry into graduate allied health programs. Little information is currently available about pedagogical strategies to promote undergraduate students' learning of research methods, and less yet is available discussing…

  19. Partners for Success? Undergraduate Women's Post-Feminist Constructions of Intimate Relationships

    Science.gov (United States)

    Blair, Elizabeth E.

    2017-01-01

    Past research suggests that undergraduate women have faced educational cultures in which their college experience is defined through romantic experiences. This study expands this literature by investigating how heightened achievement expectations for undergraduate women inform their broader conceptions of intimate relationships, by asking the…

  20. Undergraduates as Environmental Educators: The Pedal and Paddle Pollution Tour Experience

    Science.gov (United States)

    Cronje, Ruth Johnson; Neff, Paula Kleintjes; Mowry, Donald; Running, Garry L.

    2016-01-01

    Undergraduates can become effective agents of environmental outreach when challenged to produce evidence-based messages to inform the public about local environmental issues. We recount our experience partnering our undergraduate students with community organizations dedicated to water stewardship to create a "Pedal and Paddle Pollution…

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

    Directory of Open Access Journals (Sweden)

    Yu Feng

    2018-01-01

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

  2. Undergraduate Training in Nutritional Science

    Science.gov (United States)

    Briggs, George M.

    1972-01-01

    Discusses need to establish minimum standards of training for nutrition educators,'' and standardized curricula at the undergraduate level. Gives attention to definitions, adequate training, and suggested guidelines as a starting point for further discussion. (LK)

  3. Emotional response of undergraduates to cadaver dissection.

    Science.gov (United States)

    Wisenden, Patricia A; Budke, Katherine J; Klemetson, Chelsea J; Kurtti, Tana R; Patel, Chandi M; Schwantz, Trenda L; Wisenden, Brian D

    2018-03-01

    The most effective way to learn human anatomy is through cadaver dissection. Historically, cadaver dissection has been the provenance of professional schools. Increasingly, cadaver-based courses in human anatomy are shifting to the undergraduate level, which creates both problems and opportunities because of differences between undergraduate and graduate student populations. Anxiety associated with dissecting cadavers can create a barrier to learning, and ultimately, entry into the health and medical sciences for some demographic subpopulations of undergraduates. We surveyed 76 students in 2007 and 51 students in 2009 at four times in the semester to investigate the timing and sociodemographic predictors of anxiety over cadaver dissection. We followed this with a second survey of 44 students in 2014 to test the effect of humanization of cadaver donors (providing information about donor occupation and cause of death) to reduce student anxiety. Students experienced anxiety upon first exposure to cadaver dissection. Female students experienced greater anxiety than male students upon first exposure to cadavers but this effect was short-lived. Self-identified non-white, non-Christian students experienced sustained anxiety throughout the semester, likely because cadaver stress compounded social and financial stressors unique to international students. Humanization was effective in reducing anxiety in non-white, non-Christian students but had the unexpected effect of increasing anxiety in female students. We recommend that humanizing information be offered to students who seek it out, but not forced upon students for whom the information would only add to their stress. Clin. Anat. 31:224-230, 2018. © 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

  4. Privileging Peer Review: Implications for Undergraduates

    Directory of Open Access Journals (Sweden)

    Amy E. Mark

    2011-11-01

    Full Text Available Librarians and teaching faculty privilege peer review articles out of ideals rooted in academic culture more then for pedagogical reasons. Undergraduates would find greater benefit in the opportunity to search and critique sources related to their personal and creative interests as well as relevant to academic research projects. Librarians can adopt the role of change-agents by engaging relevant teaching faculty in discussions about the goal of research assignments relative to peer review literature. Framing this discussion is Paulo Freire’s theory of banking information discussed in Pedagogy of the Oppressed (2000.

  5. Critiquing effectuation in the undergraduate entrepreneurship teaching

    DEFF Research Database (Denmark)

    Günzel-Jensen, Franziska; Robinson, Sarah

    effectuation it must be considered as a critical element from the initial meeting with the students. Teaching undergraduate students presents a range of challenges and teachers of entrepreneurship need to carefully consider how they approach teaching of effectuation in the classroom. Value....../Originality: This paper makes a two important contributions: First, we add to the literature on entrepreneurship education by informing the gap in our understanding of the mis-match between what we want to achieve and what we actually achieve in our classrooms when teaching effectuation. Second, we contribute...

  6. A Social Capital Perspective on the Mentoring of Undergraduate Life Science Researchers: An Empirical Study of Undergraduate-Postgraduate-Faculty Triads.

    Science.gov (United States)

    Aikens, Melissa L; Sadselia, Sona; Watkins, Keiana; Evans, Mara; Eby, Lillian T; Dolan, Erin L

    2016-01-01

    Undergraduate researchers at research universities are often mentored by graduate students or postdoctoral researchers (referred to collectively as "postgraduates") and faculty, creating a mentoring triad structure. Triads differ based on whether the undergraduate, postgraduate, and faculty member interact with one another about the undergraduate's research. Using a social capital theory framework, we hypothesized that different triad structures provide undergraduates with varying resources (e.g., information, advice, psychosocial support) from the postgraduates and/or faculty, which would affect the undergraduates' research outcomes. To test this, we collected data from a national sample of undergraduate life science researchers about their mentoring triad structure and a range of outcomes associated with research experiences, such as perceived gains in their abilities to think and work like scientists, science identity, and intentions to enroll in a PhD program. Undergraduates mentored by postgraduates alone reported positive outcomes, indicating that postgraduates can be effective mentors. However, undergraduates who interacted directly with faculty realized greater outcomes, suggesting that faculty interaction is important for undergraduates to realize the full benefits of research. The "closed triad," in which undergraduates, postgraduates, and faculty all interact directly, appeared to be uniquely beneficial; these undergraduates reported the highest gains in thinking and working like a scientist. © 2016 M. L. Aikens et al. CBE—Life Sciences Education © 2016 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

  7. Undergraduate medical education.

    Science.gov (United States)

    Rees, L; Wass, J

    1993-01-23

    Pressures from students and teachers, from professional bodies, and from changes in the way health care is delivered are all forcing a rethink of how medical students should be taught. These pressures may be more intense in London but are not confined to it. The recommendation the Tomlinson report advocates that has been generally welcomed is for more investment in primary care in London. General practitioners have much to teach medical schools about effective ways of learning, but incentives for teaching students in general practice are currently low, organising such teaching is difficult and needs resources, and resistance within traditional medical school hierarchies needs to be overcome. Likewise, students value learning within local communities, but the effort demanded of public health departments and community organisations is great at a time when they are under greater pressure than ever before. The arguments over research that favour concentration in four multifaculty schools are less clear cut for undergraduate education, where personal support for students is important. An immediate concern is that the effort demanded for reorganising along the lines suggested by Tomlinson will not leave medical schools much energy for innovating.

  8. Undergraduate homeopathy education in Europe and the influence of accreditation.

    Science.gov (United States)

    Viksveen, Petter; Steinsbekk, Aslak

    2011-10-01

    The safety of patients consulting with practitioners of complementary and alternative medicine (CAM) partially depends on practitioners' competence, and thus the standard of undergraduate education. Describe undergraduate homeopathy courses in Europe, student/graduate numbers and whether there were differences between recognised/accredited and non-recognised/non-accredited courses. Cross sectional survey of current homeopathy undergraduate education in Europe in 2008. Data from 145 (94.8%) out of 153 identified courses were collected. Eighty-five (55.6%) responded to a questionnaire survey. For others some data was extracted from their websites. Only data from the questionnaire survey is used for the main analysis. The average course in the questionnaire survey had 47 enrolled students and 142 graduates, and lasted 3.6 years part-time. An estimated 6500 students were enrolled and 21,000 had graduated from 153 identified European undergraduate homeopathy courses. Out of 85 courses most had entry requirements and provided medical education (N = 48) or required students to obtain this competence elsewhere (N = 33). The average number of teaching hours were 992 (95% confidence interval (CI) 814, 1170) overall, with 555 h (95%CI 496, 615) for homeopathy. Four out of five courses were recognised/accredited. Recognised/accredited part-time courses lasted significantly longer than non-recognised/non-accredited courses (difference 0.6 years, 95%CI 0.0-1.2, P = 0.040), and offered significantly larger numbers of teaching hours in homeopathy (difference 167 h, 95%CI 7-327, P = 0.041). About 6500 currently enrolled students are doing undergraduate homeopathy education in Europe and 21,000 have graduated from such courses over a period of about 30 years. Undergraduate homeopathy education in Europe is heterogeneous. Recognised/accredited courses are more extensive with more teaching hours. Copyright © 2011 Elsevier Ltd. All rights reserved.

  9. MAPPING ROBINIA PSEUDOACACIA FOREST HEALTH CONDITIONS BY USING COMBINED SPECTRAL, SPATIAL AND TEXTUREAL INFORMATION EXTRACTED FROM IKONOS IMAGERY

    Directory of Open Access Journals (Sweden)

    H. Wang

    2016-10-01

    Full Text Available In this study grey-level co-occurrence matrix (GLCM textures and a local statistical analysis Getis statistic (Gi, computed from IKONOS multispectral (MS imagery acquired from the Yellow River Delta in China, along with a random forest (RF classifier, were used to discriminate Robina pseudoacacia tree health levels. The different RF classification results of the three forest health conditions were created: (1 an overall accuracy (OA of 79.5% produced using the four MS band reflectances only; (2 an OA of 97.1% created with the eight GLCM features calculated from IKONOS Band 4 with the optimal window size of 13 × 13 and direction 45°; (3 an OA of 94.0% created using the four Gi features calculated from the four IKONOS MS bands with the optimal distance value of 5 and Queen’s neighborhood rule; and (4 an OA of 96.9% created with the combined 16 spectral (four, spatial (four, and textural (eight features. The experimental results demonstrate that (a both textural and spatial information was more useful than spectral information in determining the Robina pseudoacacia forest health conditions; and (b IKONOS NIR band was more powerful than visible bands in quantifying varying degree of forest crown dieback.

  10. Prevalence of Hepatitis C virus antibody among undergraduates in ...

    African Journals Online (AJOL)

    Background: This study was conducted to determine the prevalence of hepatitis C virus antibody (anti-HCV), among a healthy university undergraduate population in south-western Nigeria. Materials and Methods: Relevant medical information of students who underwent the post-admission screening exercise for the year ...

  11. Indian Statistical Institute-Stars New Undergraduate Programme

    Indian Academy of Sciences (India)

    Home; Journals; Resonance – Journal of Science Education; Volume 5; Issue 2. Indian Statistical Institute - Stars New Undergraduate Programme. Information and Announcements Volume 5 Issue 2 February 2000 pp 95-96. Fulltext. Click here to view fulltext PDF. Permanent link:

  12. Perceptions of undergraduate dental students at Makerere College ...

    African Journals Online (AJOL)

    Background. The creating, maintenance and storage of patients' medical records is an important competence for the professional training of a dental student. Objective. Owing to the unsatisfactory state of dental records at the students' clinic, the objective of this study was to obtain information from undergraduate dental ...

  13. An Investigation on Revealing the Learning Modalities of Undergraduate Students

    Science.gov (United States)

    Ünal, Menderes

    2015-01-01

    This study investigated learning modalities of undergraduate students in terms of their gender, departments, grades and academic achievements. The modalities/styles (visual, auditory and kinaesthetic) indicate learning preferences and help students find ways to study effectively, reach new information and solve problems. The study was conducted…

  14. Mississippi CaP HBCU Undergraduate Research Training Program

    Science.gov (United States)

    2016-09-01

    16 Annual Summary 1. Introduction Mississippi has the second highest rate of PCa death in the country and the fourth highest incidence...train undergraduate students from two Historically Black Colleges and Universities, Tougaloo College (TC) and Jackson State University (JSU), so they...detailedguide/prostate-cancer- key- statistics The webpage informs prospective applicants about eligibility requirements, Program components, Summer Research

  15. The Teaching of Undergraduate Health Psychology: A National Survey

    Science.gov (United States)

    Panjwani, Aliza A.; Gurung, Regan A. R.; Revenson, Tracey A.

    2017-01-01

    We conducted an online national survey to examine how undergraduate health psychology is taught, offer information about course design and content, and provide a needs analysis. Health psychology instructors (N = 126) answered questions about course format, teaching tools, importance of covering specific topics, and needed resources. A principal…

  16. Auditing the ICT Experiences of Teacher Education Undergraduates

    Science.gov (United States)

    Watson, Glenice; Proctor, Romina M. J.; Finger, Glenn; Lang, Wayne

    2004-01-01

    The importance of teacher education graduates having appropriate information and communication technology (ICT) for learning competencies and experiences is well documented. However, without well developed processes for auditing the ICT experiences of undergraduates it should not be assumed that teachers will enter their profession with the…

  17. Indian Institute of Science-Undergraduate Programme: Admissions ...

    Indian Academy of Sciences (India)

    Home; Journals; Resonance – Journal of Science Education; Volume 20; Issue 2. Indian Institute of Science - Undergraduate Programme: Admissions for 2015. Information and Announcements Volume 20 Issue 2 February 2015 pp 186-186. Fulltext. Click here to view fulltext PDF. Permanent link:

  18. Utilisation of Online Resources among Undergraduates in Nigerian ...

    African Journals Online (AJOL)

    The study is on utilization of online resources among undergraduates in Nigerian library school using the department of Library Science, Federal Polytechnic Nekede as a case study. The questionnaire was the major instrument used in eliciting information from the respondents. A total of 100 sets of questionnaire were ...

  19. Factors affecting the career choice of undergraduates in Nigerian ...

    African Journals Online (AJOL)

    It has been observed that not many undergraduates of Nigerian universities apply to study library and information science (LIS) in the first instance but as a last resort. This situation is unwholesome for the future of LIS profession in Nigeria. The objective of this study, therefore, was to investigate the low preference for library ...

  20. Current Practices in the Delivery of Undergraduate Exercise Physiology Content

    Science.gov (United States)

    Fisher, Michele M.

    2013-01-01

    The purpose of this study was to identify current practices for the delivery of exercise physiology content at the undergraduate level. An anonymous 22-item survey was sent to instructors of exercise physiology to collect information concerning the structure of course offerings and instructional practices. One hundred ten instructors responded to…

  1. Learning Styles among TESL Undergraduates in University Putra Malaysia

    Science.gov (United States)

    Mior Yusup, Farah Nabillah; Balakrishnan, Khaymalatha

    2014-01-01

    Learning style is an individual's natural or habitual pattern of acquiring and processing information in learning situations. A core concept is that individuals differ in how they learn. This study focused on to look at a group of TESL undergraduates' preference in learning styles. The finding showed that the students have different kind learning…

  2. Nuclear expert web mining system: monitoring and analysis of nuclear acceptance by information retrieval and opinion extraction on the Internet

    Energy Technology Data Exchange (ETDEWEB)

    Reis, Thiago; Barroso, Antonio C.O.; Imakuma, Kengo, E-mail: thiagoreis@usp.b, E-mail: barroso@ipen.b, E-mail: kimakuma@ipen.b [Instituto de Pesquisas Energeticas e Nucleares (IPEN/CNEN-SP), Sao Paulo, SP (Brazil)

    2011-07-01

    This paper presents a research initiative that aims to collect nuclear related information and to analyze opinionated texts by mining the hypertextual data environment and social networks web sites on the Internet. Different from previous approaches that employed traditional statistical techniques, it is being proposed a novel Web Mining approach, built using the concept of Expert Systems, for massive and autonomous data collection and analysis. The initial step has been accomplished, resulting in a framework design that is able to gradually encompass a set of evolving techniques, methods, and theories in such a way that this work will build a platform upon which new researches can be performed more easily by just substituting modules or plugging in new ones. Upon completion it is expected that this research will contribute to the understanding of the population views on nuclear technology and its acceptance. (author)

  3. Nuclear expert web mining system: monitoring and analysis of nuclear acceptance by information retrieval and opinion extraction on the Internet

    International Nuclear Information System (INIS)

    Reis, Thiago; Barroso, Antonio C.O.; Imakuma, Kengo

    2011-01-01

    This paper presents a research initiative that aims to collect nuclear related information and to analyze opinionated texts by mining the hypertextual data environment and social networks web sites on the Internet. Different from previous approaches that employed traditional statistical techniques, it is being proposed a novel Web Mining approach, built using the concept of Expert Systems, for massive and autonomous data collection and analysis. The initial step has been accomplished, resulting in a framework design that is able to gradually encompass a set of evolving techniques, methods, and theories in such a way that this work will build a platform upon which new researches can be performed more easily by just substituting modules or plugging in new ones. Upon completion it is expected that this research will contribute to the understanding of the population views on nuclear technology and its acceptance. (author)

  4. Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010.

    Science.gov (United States)

    de Bruijn, Berry; Cherry, Colin; Kiritchenko, Svetlana; Martin, Joel; Zhu, Xiaodan

    2011-01-01

    As clinical text mining continues to mature, its potential as an enabling technology for innovations in patient care and clinical research is becoming a reality. A critical part of that process is rigid benchmark testing of natural language processing methods on realistic clinical narrative. In this paper, the authors describe the design and performance of three state-of-the-art text-mining applications from the National Research Council of Canada on evaluations within the 2010 i2b2 challenge. The three systems perform three key steps in clinical information extraction: (1) extraction of medical problems, tests, and treatments, from discharge summaries and progress notes; (2) classification of assertions made on the medical problems; (3) classification of relations between medical concepts. Machine learning systems performed these tasks using large-dimensional bags of features, as derived from both the text itself and from external sources: UMLS, cTAKES, and Medline. Performance was measured per subtask, using micro-averaged F-scores, as calculated by comparing system annotations with ground-truth annotations on a test set. The systems ranked high among all submitted systems in the competition, with the following F-scores: concept extraction 0.8523 (ranked first); assertion detection 0.9362 (ranked first); relationship detection 0.7313 (ranked second). For all tasks, we found that the introduction of a wide range of features was crucial to success. Importantly, our choice of machine learning algorithms allowed us to be versatile in our feature design, and to introduce a large number of features without overfitting and without encountering computing-resource bottlenecks.

  5. Introducing Science to undergraduate students

    Directory of Open Access Journals (Sweden)

    P. Avila Jr

    2006-07-01

    Full Text Available The knowledge of scientific method provides stimulus and development of critical thinking and logical analysis of information besides the training of continuous formulation of hypothesis to be applied in formal scientific issues as well as in everyday facts. The scientific education, useful for all people, is indispensable for the experimental science students. Aiming at the possibility to offer a systematic learning of the scientific principles, we developed a undergraduate course designed to approximate the students to the procedures of scientific production and publication. The course was developed in a 40 hours, containing two modules: I. Introducing Scientific Articles (papers and II. Writing Research Project. The first module deals with: (1 the difference between scientific knowledge and common sense; (2 scientific methodology; (3 scientific publishing categories; (4 logical principles; (5 deduction and induction approach and (6 paper analysis. The second module includes (1 selection of problem to be solved by experimental procedures; (2 bibliography revision; (3 support agencies; (4 project writing and presentation and (5 critical analysis of experimental results. The course used a Collaborative Learning strategy with each topic being developed through activities performed by the students. Qualitative and quantitative (through Likert questionnaires evaluation were carried out in each step of the course, the results showing great appreciation by the students. This is also the opinion of the staff responsible for the planning and development of the course, which is now in its second and improved version.

  6. Text Mining of the Electronic Health Record: An Information Extraction Approach for Automated Identification and Subphenotyping of HFpEF Patients for Clinical Trials.

    Science.gov (United States)

    Jonnalagadda, Siddhartha R; Adupa, Abhishek K; Garg, Ravi P; Corona-Cox, Jessica; Shah, Sanjiv J

    2017-06-01

    Precision medicine requires clinical trials that are able to efficiently enroll subtypes of patients in whom targeted therapies can be tested. To reduce the large amount of time spent screening, identifying, and recruiting patients with specific subtypes of heterogeneous clinical syndromes (such as heart failure with preserved ejection fraction [HFpEF]), we need prescreening systems that are able to automate data extraction and decision-making tasks. However, a major obstacle is the vast amount of unstructured free-form text in medical records. Here we describe an information extraction-based approach that automatically converts unstructured text into structured data, which is cross-referenced against eligibility criteria using a rule-based system to determine which patients qualify for a major HFpEF clinical trial (PARAGON). We show that we can achieve a sensitivity and positive predictive value of 0.95 and 0.86, respectively. Our open-source algorithm could be used to efficiently identify and subphenotype patients with HFpEF and other disorders.

  7. Extracting drug mechanism and pharmacodynamic information from clinical electroencephalographic data using generalised semi-linear canonical correlation analysis

    International Nuclear Information System (INIS)

    Brain, P; Strimenopoulou, F; Ivarsson, M; Wilson, F J; Diukova, A; Wise, R G; Berry, E; Jolly, A; Hall, J E

    2014-01-01

    Conventional analysis of clinical resting electroencephalography (EEG) recordings typically involves assessment of spectral power in pre-defined frequency bands at specific electrodes. EEG is a potentially useful technique in drug development for measuring the pharmacodynamic (PD) effects of a centrally acting compound and hence to assess the likelihood of success of a novel drug based on pharmacokinetic–pharmacodynamic (PK–PD) principles. However, the need to define the electrodes and spectral bands to be analysed a priori is limiting where the nature of the drug-induced EEG effects is initially not known. We describe the extension to human EEG data of a generalised semi-linear canonical correlation analysis (GSLCCA), developed for small animal data. GSLCCA uses data from the whole spectrum, the entire recording duration and multiple electrodes. It provides interpretable information on the mechanism of drug action and a PD measure suitable for use in PK–PD modelling. Data from a study with low (analgesic) doses of the μ-opioid agonist, remifentanil, in 12 healthy subjects were analysed using conventional spectral edge analysis and GSLCCA. At this low dose, the conventional analysis was unsuccessful but plausible results consistent with previous observations were obtained using GSLCCA, confirming that GSLCCA can be successfully applied to clinical EEG data. (paper)

  8. Extracting the Beat: An Experience-dependent Complex Integration of Multisensory Information Involving Multiple Levels of the Nervous System

    Directory of Open Access Journals (Sweden)

    Laurel J. Trainor

    2009-04-01

    Full Text Available In a series of studies we have shown that movement (or vestibular stimulation that is synchronized to every second or every third beat of a metrically ambiguous rhythm pattern biases people to perceive the meter as a march or as a waltz, respectively. Riggle (this volume claims that we postulate an "innate", "specialized brain unit" for beat perception that is "directly" influenced by vestibular input. In fact, to the contrary, we argue that experience likely plays a large role in the development of rhythmic auditory-movement interactions, and that rhythmic processing in the brain is widely distributed and includes subcortical and cortical areas involved in sound processing and movement. Further, we argue that vestibular and auditory information are integrated at various subcortical and cortical levels along with input from other sensory modalities, and it is not clear which levels are most important for rhythm processing or, indeed, what a "direct" influence of vestibular input would mean. Finally, we argue that vestibular input to sound location mechanisms may be involved, but likely cannot explain the influence of vestibular input on the perception of auditory rhythm. This remains an empirical question for future research.

  9. Implementation and evaluation of an undergraduate emergency medicine curriculum.

    Science.gov (United States)

    Celenza, A; Jelinek, G A; Jacobs, I; Kruk, C; Graydon, R; Murray, L

    2001-03-01

    To describe the implementation and evaluation of an undergraduate course in the first Australian academic emergency medicine unit. A descriptive study of a course involving fifth year medical students at the University of Western Australia was undertaken. Teaching included self-directed case problem solving, small group tutorials, practical-skills teaching, clinical attachments and information handouts. Evaluation involved questionnaire scores and written feedback regarding life-support skills, tutorial teaching, course materials, clinical attachments and the course in general. Some groups of students underwent pre-course and post-course examinations. Subjective and objective testing showed that student knowledge significantly improved. Feedback was especially positive toward clinical attachments in emergency departments, practical skills tutorials and the case-based learning method. Students requested longer attachments to emergency departments, and more practical, case-based, interactive and bedside teaching. Problems encountered included inadequate time for teaching, vagueness about student roles and objectives, and dealing with death for the first time without adequate preparation. Undergraduate emergency medicine education should become an essential part of Australian and international undergraduate medical education. Emergency medicine is enjoyable and eminently suitable for problem-based, interactive and integrated teaching and improves confidence, clinical experience in emergencies, practical skills and teamwork. Improvements include more problem-based teaching, more practical skills sessions and better definition of student roles. These are general principles that can be applied to other undergraduate courses and to designers of other emergency medicine courses, both undergraduate and postgraduate.

  10. Undergraduate Prescription Stimulant Misuse: The Impact of Academic Strain.

    Science.gov (United States)

    Norman, Lauren; Ford, Jason

    2018-01-09

    This study investigated the misuse of prescription stimulants among undergraduates for academic purposes. This research is important as existing literature has indicated that this type of prescription drug misuse is a growing concern, especially among college undergraduates aged 18-25. This study focused on how various types of academic strain (i.e., academic strain, grade strain, and academic impediments) influenced the misuse of prescription stimulants. Roughly 900 quantitative surveys were collected at a large Southeastern university in May 2014 that specifically addressed prescription stimulant misuse. Results from regression analyses indicated that college students are at an increased likelihood of misusing prescription stimulants for academic purposes if they experienced academic impediments and/or grade strain during the past academic year. Conclusions/Importance: It is necessary to identify how academic strain impacts undergraduates' likelihood of engaging in the misuse of prescription stimulants as this information may aid in college based educational and prevention programs.

  11. Improving the extraction of crisis information in the context of flood, fire, and landslide rapid mapping using SAR and optical remote sensing data

    Science.gov (United States)

    Martinis, Sandro; Clandillon, Stephen; Twele, André; Huber, Claire; Plank, Simon; Maxant, Jérôme; Cao, Wenxi; Caspard, Mathilde; May, Stéphane

    2016-04-01

    Optical and radar satellite remote sensing have proven to provide essential crisis information in case of natural disasters, humanitarian relief activities and civil security issues in a growing number of cases through mechanisms such as the Copernicus Emergency Management Service (EMS) of the European Commission or the International Charter 'Space and Major Disasters'. The aforementioned programs and initiatives make use of satellite-based rapid mapping services aimed at delivering reliable and accurate crisis information after natural hazards. Although these services are increasingly operational, they need to be continuously updated and improved through research and development (R&D) activities. The principal objective of ASAPTERRA (Advancing SAR and Optical Methods for Rapid Mapping), the ESA-funded R&D project being described here, is to improve, automate and, hence, speed-up geo-information extraction procedures in the context of natural hazards response. This is performed through the development, implementation, testing and validation of novel image processing methods using optical and Synthetic Aperture Radar (SAR) data. The methods are mainly developed based on data of the German radar satellites TerraSAR-X and TanDEM-X, the French satellite missions Pléiades-1A/1B as well as the ESA missions Sentinel-1/2 with the aim to better characterize the potential and limitations of these sensors and their synergy. The resulting algorithms and techniques are evaluated in real case applications during rapid mapping activities. The project is focussed on three types of natural hazards: floods, landslides and fires. Within this presentation an overview of the main methodological developments in each topic is given and demonstrated in selected test areas. The following developments are presented in the context of flood mapping: a fully automated Sentinel-1 based processing chain for detecting open flood surfaces, a method for the improved detection of flooded vegetation

  12. Monitoring Strategies of Earth Dams by Ground-Based Radar Interferometry: How to Extract Useful Information for Seismic Risk Assessment.

    Science.gov (United States)

    Di Pasquale, Andrea; Nico, Giovanni; Pitullo, Alfredo; Prezioso, Giuseppina

    2018-01-16

    The aim of this paper is to describe how ground-based radar interferometry can provide displacement measurements of earth dam surfaces and of vibration frequencies of its main concrete infrastructures. In many cases, dams were built many decades ago and, at that time, were not equipped with in situ sensors embedded in the structure when they were built. Earth dams have scattering properties similar to landslides for which the Ground-Based Synthetic Aperture Radar (GBSAR) technique has been so far extensively applied to study ground displacements. In this work, SAR and Real Aperture Radar (RAR) configurations are used for the measurement of earth dam surface displacements and vibration frequencies of concrete structures, respectively. A methodology for the acquisition of SAR data and the rendering of results is described. The geometrical correction factor, needed to transform the Line-of-Sight (LoS) displacement measurements of GBSAR into an estimate of the horizontal displacement vector of the dam surface, is derived. Furthermore, a methodology for the acquisition of RAR data and the representation of displacement temporal profiles and vibration frequency spectra of dam concrete structures is presented. For this study a Ku-band ground-based radar, equipped with horn antennas having different radiation patterns, has been used. Four case studies, using different radar acquisition strategies specifically developed for the monitoring of earth dams, are examined. The results of this work show the information that a Ku-band ground-based radar can provide to structural engineers for a non-destructive seismic assessment of earth dams.

  13. Monitoring Strategies of Earth Dams by Ground-Based Radar Interferometry: How to Extract Useful Information for Seismic Risk Assessment

    Directory of Open Access Journals (Sweden)

    Andrea Di Pasquale

    2018-01-01

    Full Text Available The aim of this paper is to describe how ground-based radar interferometry can provide displacement measurements of earth dam surfaces and of vibration frequencies of its main concrete infrastructures. In many cases, dams were built many decades ago and, at that time, were not equipped with in situ sensors embedded in the structure when they were built. Earth dams have scattering properties similar to landslides for which the Ground-Based Synthetic Aperture Radar (GBSAR technique has been so far extensively applied to study ground displacements. In this work, SAR and Real Aperture Radar (RAR configurations are used for the measurement of earth dam surface displacements and vibration frequencies of concrete structures, respectively. A methodology for the acquisition of SAR data and the rendering of results is described. The geometrical correction factor, needed to transform the Line-of-Sight (LoS displacement measurements of GBSAR into an estimate of the horizontal displacement vector of the dam surface, is derived. Furthermore, a methodology for the acquisition of RAR data and the representation of displacement temporal profiles and vibration frequency spectra of dam concrete structures is presented. For this study a Ku-band ground-based radar, equipped with horn antennas having different radiation patterns, has been used. Four case studies, using different radar acquisition strategies specifically developed for the monitoring of earth dams, are examined. The results of this work show the information that a Ku-band ground-based radar can provide to structural engineers for a non-destructive seismic assessment of earth dams.

  14. Contemporary undergraduate implant dentistry education: a systematic review.

    Science.gov (United States)

    Koole, S; De Bruyn, H

    2014-03-01

    Consensus reports recommend that students upon graduation should possess a significant level of knowledge and competence in implant dentistry, including basic competences in diagnostics, treatment planning, restorative, straightforward surgical and maintenance procedures. In response, undergraduate curricula need to integrate implant dentistry. This narrative review explores educational programmes in terms of competences, related research and barriers or reflections, regarding implementation in undergraduate curricula. Publications (2008-2013) were searched systematically in WoS, PubMed and ERIC and screened independently by two authors in four stages: removal of duplicates, title screening, abstract screening and full-text reading. Inclusion criteria encompassed implant dentistry in undergraduate education. Finally, 37 of 420 papers were included. Detailed information regarding programme content, number of participants, staff input, logistics/funding issues is scattered. Theoretical education is predominant, and pre-clinical/clinical training is offered minimally, often carried out in elective programmes. However, selected straightforward cases treated by undergraduates yield positive outcomes with low failure rates, few complications, high patient satisfaction and student appreciation. Barriers to implementing implant dentistry in the undergraduate curriculum include funding issues, limitations in time or staff availability/competence and lack of suitable patients. Overcoming these barriers is worthwhile as experience-based implant education affects future practice as well-informed students propose more restorative alternatives to their patients. Although implant dentistry is increasingly integrated in undergraduate curricula, challenges remain in developing strategies to implement existing competence profiles and the extent of experience-based education. To support further advancement, universities should report comprehensively on their implant programmes to

  15. Pharmacovigilance teaching in UK undergraduate pharmacy programmes.

    Science.gov (United States)

    Smith, Melvyn P; Webley, Sherael D

    2013-03-01

    Pharmacists in the UK are able to report spontaneous adverse drug reactions (ADRs) to the Medicines and Healthcare Products Regulatory Authority. The level of reporting by UK pharmacists remains low. This could be explained by poor knowledge of ADR reporting. The primary objective of this study was to investigate the level of pharmacovigilance education provided to pharmacy students on undergraduate pharmacy programmes in the UK. A cross-sectional survey was used to obtain data relating to the teaching of pharmacovigilance within schools of pharmacy. The survey was designed to reveal whether core elements pertinent to pharmacovigilance and specifically to spontaneous reporting were taught and to what extent. All of the respondents taught pharmacovigilance within an assessed compulsory module. A small number (23%) did not include pharmacovigilance law within their syllabus. In 54%, the amount of time devoted to teaching pharmacy students about their role in pharmacovigilance was less than 4 h in the 4-year course; only one respondent spent approximately 20 h, the remaining respondents (38%) spent between 4 and 8 h. The amount of time dedicated to the teaching of pharmacovigilance on pharmacy undergraduate degree programmes is low. Considering the importance of spontaneous reporting in drug safety and the shift in the role of the pharmacists, more time may need to be devoted to pharmacovigilance on pharmacy undergraduate courses. By doing so, new pharmacists would be more informed of the important role they play in drug safety and thereby potentially help enhance the level of ADR reporting. Copyright © 2012 John Wiley & Sons, Ltd.

  16. The Undergraduate ALFALFA Team: Outcomes for Over 250 Undergraduate Participants

    Science.gov (United States)

    Troischt, Parker; Koopmann, Rebecca A.; Haynes, Martha P.; ALFALFA Team

    2016-01-01

    The NSF-sponsored Undergraduate ALFALFA (Arecibo Legacy Fast ALFA) Team (UAT) is a consortium of 19 institutions founded to promote undergraduate research and faculty development within the extragalactic ALFALFA HI blind survey project and follow-up programs. In this talk we present outcomes for the more than 250 undergraduate students who have who have participated in the program during the 8 years of funding. 40% of these students have been women and members of underrepresented groups. To date 148 undergraduate students have attended annual workshops at Arecibo Observatory, interacting with faculty, graduate students, their peers, and Arecibo staff in lectures, group activities, tours, and observing runs. Team faculty have supervised 159 summer research projects and 120 academic year (e.g., senior thesis) projects. 68 students have traveled to Arecibo Observatory for observing runs and 55 have presented their results at national meetings such as the AAS. Through participation in the UAT, students are made aware of career paths they may not have previously considered. More than 90% of alumni are attending graduate school and/or pursuing a career in STEM. 42% of those pursuing graduate degrees in Physics or Astronomy are women. This work has been supported by NSF grants AST-0724918/0902211, AST-075267/0903394, AST-0725380, and AST-1211005

  17. Professional practice and construction undergraduates' employability skills

    OpenAIRE

    Vohmann, B.; Frame, I.

    2016-01-01

    Employability skills are known to be valuable to undergraduates when entering the workplace and expected by employers, yet, in construction as in many disciplines, these skills often are not well developed. However, construction professionals frequently work in complex dynamic environments and employability skills may enhance undergraduates' practitioner effectiveness. Therefore it is important tutors exploit opportunities to help undergraduates develop their employability skills. This paper ...

  18. BioCreative V track 4: a shared task for the extraction of causal network information using the Biological Expression Language.

    Science.gov (United States)

    Rinaldi, Fabio; Ellendorff, Tilia Renate; Madan, Sumit; Clematide, Simon; van der Lek, Adrian; Mevissen, Theo; Fluck, Juliane

    2016-01-01

    Automatic extraction of biological network information is one of the most desired and most complex tasks in biological and medical text mining. Track 4 at BioCreative V attempts to approach this complexity using fragments of large-scale manually curated biological networks, represented in Biological Expression Language (BEL), as training and test data. BEL is an advanced knowledge representation format which has been designed to be both human readable and machine processable. The specific goal of track 4 was to evaluate text mining systems capable of automatically constructing BEL statements from given evidence text, and of retrieving evidence text for given BEL statements. Given the complexity of the task, we designed an evaluation methodology which gives credit to partially correct statements. We identified various levels of information expressed by BEL statements, such as entities, functions, relations, and introduced an evaluation framework which rewards systems capable of delivering useful BEL fragments at each of these levels. The aim of this evaluation method is to help identify the characteristics of the systems which, if combined, would be most useful for achieving the overall goal of automatically constructing causal biological networks from text. © The Author(s) 2016. Published by Oxford University Press.

  19. Potential of maize single-cross hybrids for extraction of inbred lines using the mean components and mixed models with microsatellite marker information.

    Science.gov (United States)

    Balestre, M; Von Pinho, R G; Souza, J C; Machado, J C

    2008-10-21

    The present study examined the importance of mean (m+a' and d) components in the performance of single-cross hybrids for the formation of new populations and determined the contribution of the mixed model (best linear unbiased predictor of random effects, BLUP) method associated with molecular markers for the choice of crosses to obtain interpopulation hybrids. Ten single-cross commercial hybrids of different companies were used for this purpose, producing all possible double-cross hybrids through a complete diallel. The hybrids were evaluated in 15 locations in the agricultural year 2005/2006, using randomized complete block design with three repetitions. In three of these locations, estimates of m+a' and d were obtained. DNA was extracted from the single-cross hybrids and 20 SSR primers were used, nine of which were linked to QTL for yield. There was no correlation between m+a' of the single-cross hybrids with general combining ability (r = -0.15) inferring that populations with lines with high means do not always produce good hybrids. Also, it was observed that the correlation between the genetic distances with specific combining ability varied from 0.31 to 0.80 in the inter-group hybrids, while in the intra-group hybrids these estimates were low and non-significant. The heritability value obtained by BLUP was high and greater than that obtained by ordinary least squares (h(2) = 0.95 and 0.86), confirming the greater selection accuracy by the BLUP method. There were no differences between the accuracy values obtained with microsatellite information and without this information, inferring that there was no advantage of progenitor information on balanced data. It can be concluded that the estimate m+a' should not be used as a deciding parameter about the potential for extracting lines from a given population. The heritability and accuracy values obtained by BLUP allow the inference that it is possible to predict success in the choice of progenitors to obtain

  20. Detection of the "cp4 epsps" Gene in Maize Line NK603 and Comparison of Related Protein Structures: An Advanced Undergraduate Experiment

    Science.gov (United States)

    Swope, Nicole K.; Fryfogle, Patrick J.; Sivy, Tami L.

    2015-01-01

    A flexible, rigorous laboratory experiment for upper-level biochemistry undergraduates is described that focuses on the Roundup Ready maize line. The work is appropriate for undergraduate laboratory courses that integrate biochemistry, molecular biology, or bioinformatics. In this experiment, DNA is extracted and purified from maize kernel and…

  1. Teaching Economic Forecasting to Undergraduates.

    Science.gov (United States)

    Donihue, Michael R.

    1995-01-01

    Contends that academic departments have come under increasing scrutiny in terms of the scope of curriculum and teaching methods. Describes a senior undergraduate economics course in which the primary objective was to give students opportunities to combine theoretical training with quantitative skills and apply them to real-world problems. (CFR)

  2. A conference experience for undergraduates

    International Nuclear Information System (INIS)

    Collins, L.A.; Magee, N.H.; Bryant, H.C.; Zeilik, M.

    1999-01-01

    Programs launched by many universities and the federal government expose many undergraduate students in the physical sciences to research early in their careers. However, in their research experiences, undergraduates are not usually introduced to the modes by which scientific knowledge, which they may have helped gather, is communicated and evaluated by working scientists. Nor is it always made clear where the research frontiers really lie. To this end, we guided a selected group of undergraduates through a national scientific conference, followed by a week of tutorials and discussions to help them better understand what had transpired. The program complemented the basic undergraduate research endeavors by emphasizing the importance of disseminating results both to other scientists and to society in general. Tutors and discussion leaders in the second week were experts in their fields and included some of the invited speakers from the main meeting. A considerable improvement in the understanding of the issues and prospects for a career in physics was discernible among the students after their two-week experience. copyright 1999 American Association of Physics Teachers

  3. Rethinking Undergraduate Physical Chemistry Curricula

    Science.gov (United States)

    Miller, Stephen R.

    2016-01-01

    A summary of fundamental changes made to the undergraduate physical chemistry curriculum in the Chemistry Department at Gustavus Adolphus College (beginning in the 2013-2014 academic year) is presented. The yearlong sequence now consists of an introductory semester covering both quantum mechanics and thermodynamics/kinetics, followed by a second…

  4. Undergraduate Students' Attitudes toward Biodiversity

    Science.gov (United States)

    Huang, Hui-Ju; Lin, Yu-Teh Kirk

    2014-01-01

    The study investigated American and Taiwan undergraduate students' attitudes toward biodiversity. The survey questionnaire consisted of statements prompted by the question "To what extent do you agree with the following statements about problems with the biodiversity issues." Students indicated strongly disagree, disagree, agree,…

  5. Undergraduate research: a case study

    NARCIS (Netherlands)

    Koppelman, Hermannus; van Dijk, Elisabeth M.A.G.; van der Hoeven, Gerrit

    This paper describes a one semester research course for undergraduates of computing programs. Students formulate a research proposal, conduct research and write a full paper. They present the results at a one-day student conference. On the one hand we offer the students a lot of structure and

  6. Undergraduates, Technology, and Social Connections

    Science.gov (United States)

    Palmer, Betsy; Boniek, Susan; Turner, Elena; Lovell, Elyse D'nn

    2014-01-01

    The purpose of this study was to examine the spectrum of undergraduate students' social interactions and related technological tools. Qualitative methods were used for this phenomenological study exploring 35 in-person interviews, with horizonalization in an open coding system secured by in-depth analysis which revealed nuanced themes and…

  7. Astrology Beliefs among Undergraduate Students

    Science.gov (United States)

    Sugarman, Hannah; Impey, Chris; Buxner, Sanlyn; Antonellis, Jessie

    2011-01-01

    A survey of the science knowledge and attitudes toward science of nearly 10000 undergraduates at a large public university over a 20-year period included several questions addressing student beliefs in astrology and other forms of pseudoscience. The results from our data reveal that a large majority of students (78%) considered astrology "very" or…

  8. A Review of Undergraduate Physics

    Science.gov (United States)

    Bayman, Benjamin F.; Hamermesh, Morton

    1986-02-01

    A study aid for senior and graduate level students needing a review of undergraduate physics. Covers a broad range of topics, with carefully worked examples illustrating important problem-solving methods. A collection of self-test problems helps students prepare for the College Entrance Advanced Physics Examination and the Qualifying Written Examination for the PhD.

  9. Automated extraction of road networks from satellite images for preparing and updating road location data for geographic information systems in transportation (GIS-t)

    Science.gov (United States)

    Gan, Cheng Tin

    Transportation agencies apply GIS (Geographic Information System) technology to better manage spatially distributed transportation facilities and services. However, due to high data conversion and update costs, GIS technology can be expensive. Remotely sensed images are widely recognized as a ready data source that might lower the cost of CIS considerably. One data object critical to transportation applications of GIS that can be extracted from remotely sensed images is the road network. This research presents a three-level (low, intermediate, and high) automated process capable of extracting road network location attributes from SPOT panchromatic images. Low-level operations extract road pixels from gray images. Intermediate-level operations convert road pixels into vectorized links which are usually fragmented. High-level operations defragment links via line-linking functions to construct road networks. This research focuses on improving the various existing techniques employed in each operation level. A comprehensive computer program was developed to implement all algorithms. For low-level operations, extensive testing was conducted to find a suitable line detector; an automated threshold selection strategy for the line detector was developed; a thinning algorithm was adapted to reduce lines to one pixel in width; and a noise removal algorithm was developed to remove pixels that form either short unconnected lines or strokes. Improvements to intermediate-level operations include developments of an adaptive binary image decomposition structure for the Hough transform, a heuristic algorithm to suppress redundant lines in the Hough output, and an adaptive thresholding scheme for the Hough transform based on both cell counts and line-length ratios. For high-level operations, a spatial-vector structure for efficient spatial search in line linking was developed. A best-neighbor finding function and four line-linking functions, each fully supported by the spatial

  10. Attitudes towards transferable skills in medical undergraduates.

    Science.gov (United States)

    Whittle, S R; Eaton, D G

    2001-02-01

    Changes to the style of medical teaching will place a greater responsibility on individual medical students to manage their own learning, highlighting the need for students to develop good so-called 'transferable' skills at an early stage in their undergraduate career. To assess the attitudes of first year undergraduates towards transferable skills, and investigate the gender difference in these attitudes. To assess the contribution of their first year course to skills development. First year students, enrolled on a traditional-style course. A questionnaire asking the students to consider: (a) the importance of named transferable skills for medicine; (b) their own ability in these areas; and (c) the influence of their first year course. All students, irrespective of gender, regarded transferable skills as very important to medicine, rating organizational skills and self-learning skills as most important. Overall, students have a high level of confidence in their own skills. Male students rated their overall level of skills more highly than women. In particular they rated their information handling, managing self-learning and technical skills more highly. Students feel that their first year course has enhanced their skills in most areas. Our results suggest that students will feel equipped to succeed in a learning system which places the onus on them to take responsibility for their own learning. They clearly believe that they have the necessary skills for independent learning. The study highlights the need to enhance students' self-evaluation skills.

  11. Advanced undergraduate quantum mechanics methods and applications

    CERN Document Server

    Deych, Lev I

    2018-01-01

    This introduction to quantum mechanics is intended for undergraduate students of physics, chemistry, and engineering with some previous exposure to quantum ideas. Following in Heisenberg’s and Dirac’s footsteps, this book is centered on the concept of the quantum state as an embodiment of all experimentally available information about a system, and its representation as a vector in an abstract Hilbert space. This conceptual framework and formalism are introduced immediately, and developed throughout the first four chapters, while the standard Schrödinger equation does not appear until Chapter 5. The book grew out of lecture notes developed by the author over fifteen years of teaching at the undergraduate level. In response to numerous requests by students, material is presented with an unprecedented level of detail in both derivation of technical results and discussion of their physical significance.  The book is written for students to enjoy reading it, rather than to use only as a source of formulas a...

  12. Choosing nuclear engineering: A survey of nuclear engineering undergraduates

    International Nuclear Information System (INIS)

    Shillenn, J.K.; Klevans, E.H.

    1988-01-01

    Maintaining a reliable pool of qualified nuclear engineering graduates depends on the ability of nuclear engineering undergraduate programs to recruit students. With the prospect of declining enrollments in nuclear engineering it is important for nuclear engineering programs to know what factors influence students to choose nuclear engineering as an undergraduate major and why they choose a particular undergraduate program. This type of information can be very important to nuclear engineering programs that develop recruiting strategies. To provide some insight into this area, a questionnaire was designed and given to undergraduate nuclear engineering students at Pennsylvania State University. The purpose of the survey was to provide information on the reasons that students picked nuclear engineering as a career and chose to attend Penn State. The questionnaire was given to 27 students in their junior year during the spring semester of 1987 and again to 35 junior students during the spring semester of 1988. There was little difference except as noted between the two groups on their responses to the questionnaire. A partial listing of the survey results is provided

  13. Undergraduate Students’ Initial Ability in Understanding Phylogenetic Tree

    Science.gov (United States)

    Sa'adah, S.; Hidayat, T.; Sudargo, Fransisca

    2017-04-01

    The Phylogenetic tree is a visual representation depicts a hypothesis about the evolutionary relationship among taxa. Evolutionary experts use this representation to evaluate the evidence for evolution. The phylogenetic tree is currently growing for many disciplines in biology. Consequently, learning about the phylogenetic tree has become an important part of biological education and an interesting area of biology education research. Skill to understanding and reasoning of the phylogenetic tree, (called tree thinking) is an important skill for biology students. However, research showed many students have difficulty in interpreting, constructing, and comparing among the phylogenetic tree, as well as experiencing a misconception in the understanding of the phylogenetic tree. Students are often not taught how to reason about evolutionary relationship depicted in the diagram. Students are also not provided with information about the underlying theory and process of phylogenetic. This study aims to investigate the initial ability of undergraduate students in understanding and reasoning of the phylogenetic tree. The research method is the descriptive method. Students are given multiple choice questions and an essay that representative by tree thinking elements. Each correct answer made percentages. Each student is also given questionnaires. The results showed that the undergraduate students’ initial ability in understanding and reasoning phylogenetic tree is low. Many students are not able to answer questions about the phylogenetic tree. Only 19 % undergraduate student who answered correctly on indicator evaluate the evolutionary relationship among taxa, 25% undergraduate student who answered correctly on indicator applying concepts of the clade, 17% undergraduate student who answered correctly on indicator determines the character evolution, and only a few undergraduate student who can construct the phylogenetic tree.

  14. TRANSFORMING NIGERIA UNDERGRADUATE TRAINING ...

    African Journals Online (AJOL)

    THROUGH INFORMATION COMPETENCY. By. S. N. Onwubiko. College of Medicine, Medical Library Enugu State University of. Science and Technology .... be added as a stand-alone course dealing with the topic or it could be added as a component in several or all of the courses including the General Studies. Curricular.

  15. Perceptions and intentions relating to seeking help for depression among medical undergraduates in Sri Lanka: a cross-sectional comparison with non-medical undergraduates.

    Science.gov (United States)

    Amarasuriya, Santushi D; Jorm, Anthony F; Reavley, Nicola J

    2015-09-29

    This study attempts to understand whether medical undergraduates in Sri Lanka would seek help for depression. This was done by examining their perceptions and intentions relating to seeking help for depression, using the responses of non-medical undergraduates as the baseline for comparison. Medical (n = 620) and non-medical undergraduates (n = 4050) at the University of Colombo responded to a questionnaire which included a vignette about a depressed undergraduate, a depression measure, an open-ended question examining their intentions to seek help if affected by the problem described in the vignette, and scales examining their perceptions about the helpfulness of various help-seeking options for dealing with the problem. The latter items were also administered among mental health professionals to assess expert opinion on dealing with depression. Logistic regression models were used to examine if medical undergraduates differed from non-medical undergraduates in their rates of depression, help-seeking perceptions and help-seeking intentions. These models were also used to examine if being depressed was associated with differences in the help-seeking perceptions and intentions of medical undergraduates. Medical and non-medical undergraduates did not differ in their odds of being depressed. Overall, the medical undergraduates were more likely to appraise professional help positively. However, they did not differ from non-medical undergraduates in relation to their intentions to seek such help if affected by the problem personally. They were also more likely to indicate their intentions to seek help from parents and family. Furthermore, medical undergraduates who screened positive for Major Depression were less likely to appraise some of the recommended professional and informal help-seeking options as being 'helpful', with only 50 % considering that it was 'unhelpful' to deal with the problem alone. There was also no difference in their help

  16. Organization of an undergraduate research group

    International Nuclear Information System (INIS)

    Hill, J.; Noteboom, E.

    1995-01-01

    Traditionally, research groups consist of senior physicists, staff members, and graduate students. The physics department at Creighton University has formed a Relativistic Heavy Ion physics research group consisting primarily of undergraduate students. Although senior staff and graduate students are actively involved, undergraduate research and the education of undergraduates is the focus of the group. The presentation, given by two undergraduate members of the group, will outline progress made in the group's organization, discuss the benefits to the undergraduate group members, and speak to the balance which must be struck between education concerns and research goals

  17. Image Understanding and Information Extraction

    Science.gov (United States)

    1976-09-01

    with respect to the computer analysis of Image data (and especially multlspectral image data) from high-flying aircraft and earth- orbiting satellites...REAL AXIS 500 1.00:1 l.fOO 2,000 78 Figure \\k BOEING 707-320 2.000- l.OOO- 1.000- .etij to k S •wo ft - . EDO - •l .0.10 -i.eno

  18. Information extraction from airborne cameras

    NARCIS (Netherlands)

    Dijk, J.; Elands, P.J.M.; Burghouts, G.; Van Eekeren, A.W.M.

    2015-01-01

    In this paper we evaluate the added value of image interpretation techniques for EO sensors mounted on a UAV for operators in an operational setting. We start with evaluating the support by technology for strategic and tactical purposes in a real-time scenario. We discuss different variations

  19. Mapping Robinia Pseudoacacia Forest Health Conditions by Using Combined Spectral, Spatial, and Textural Information Extracted from IKONOS Imagery and Random Forest Classifier

    Directory of Open Access Journals (Sweden)

    Hong Wang

    2015-07-01

    Full Text Available The textural and spatial information extracted from very high resolution (VHR remote sensing imagery provides complementary information for applications in which the spectral information is not sufficient for identification of spectrally similar landscape features. In this study grey-level co-occurrence matrix (GLCM textures and a local statistical analysis Getis statistic (Gi, computed from IKONOS multispectral (MS imagery acquired from the Yellow River Delta in China, along with a random forest (RF classifier, were used to discriminate Robina pseudoacacia tree health levels. Specifically, eight GLCM texture features (mean, variance, homogeneity, dissimilarity, contrast, entropy, angular second moment, and correlation were first calculated from IKONOS NIR band (Band 4 to determine an optimal window size (13 × 13 and an optimal direction (45°. Then, the optimal window size and direction were applied to the three other IKONOS MS bands (blue, green, and red for calculating the eight GLCM textures. Next, an optimal distance value (5 and an optimal neighborhood rule (Queen’s case were determined for calculating the four Gi features from the four IKONOS MS bands. Finally, different RF classification results of the three forest health conditions were created: (1 an overall accuracy (OA of 79.5% produced using the four MS band reflectances only; (2 an OA of 97.1% created with the eight GLCM features calculated from IKONOS Band 4 with the optimal window size of 13 × 13 and direction 45°; (3 an OA of 93.3% created with the all 32 GLCM features calculated from the four IKONOS MS bands with a window size of 13 × 13 and direction of 45°; (4 an OA of 94.0% created using the four Gi features calculated from the four IKONOS MS bands with the optimal distance value of 5 and Queen’s neighborhood rule; and (5 an OA of 96.9% created with the combined 16 spectral (four, spatial (four, and textural (eight features. The most important feature ranked by RF

  20. Quantum information

    CERN Document Server

    Barnett, Stephen M

    2009-01-01

    Quantum information- the subject- is a new and exciting area of science, which brings together physics, information theory, computer science and mathematics. "Quantum Information"- the book- is based on two successful lecture courses given to advanced undergraduate and beginning postgraduate students in physics. The intention is to introduce readers at this level to the fundamental, but offer rather simple, ideas behind ground-breaking developments including quantum cryptography,teleportation and quantum computing. The text is necessarily rather mathematical in style, but the mathema

  1. Impact of Undergraduate Research Mentorship Affects on Student Desire, Confidence and Motivation to Continue Work in Science

    Science.gov (United States)

    Salm, Ann E.

    2015-01-01

    The quantitative Undergraduate Research Questionnaire (URQ) is used to assess the impact of undergraduate research mentorship affects, such as informal conversations, supportive faculty and/or peer interactions, on student confidence and motivation to continue working, learning or researching in the sciences (Taraban & Logue, 2012). Research…

  2. Identification of "pathologs" (disease-related genes from the RIKEN mouse cDNA dataset using human curation plus FACTS, a new biological information extraction system

    Directory of Open Access Journals (Sweden)

    Socha Luis A

    2004-04-01

    Full Text Available Abstract Background A major goal in the post-genomic era is to identify and characterise disease susceptibility genes and to apply this knowledge to disease prevention and treatment. Rodents and humans have remarkably similar genomes and share closely related biochemical, physiological and pathological pathways. In this work we utilised the latest information on the mouse transcriptome as revealed by the RIKEN FANTOM2 project to identify novel human disease-related candidate genes. We define a new term "patholog" to mean a homolog of a human disease-related gene encoding a product (transcript, anti-sense or protein potentially relevant to disease. Rather than just focus on Mendelian inheritance, we applied the analysis to all potential pathologs regardless of their inheritance pattern. Results Bioinformatic analysis and human curation of 60,770 RIKEN full-length mouse cDNA clones produced 2,578 sequences that showed similarity (70–85% identity to known human-disease genes. Using a newly developed biological information extraction and annotation tool (FACTS in parallel with human expert analysis of 17,051 MEDLINE scientific abstracts we identified 182 novel potential pathologs. Of these, 36 were identified by computational tools only, 49 by human expert analysis only and 97 by both methods. These pathologs were related to neoplastic (53%, hereditary (24%, immunological (5%, cardio-vascular (4%, or other (14%, disorders. Conclusions Large scale genome projects continue to produce a vast amount of data with potential application to the study of human disease. For this potential to be realised we need intelligent strategies for data categorisation and the ability to link sequence data with relevant literature. This paper demonstrates the power of combining human expert annotation with FACTS, a newly developed bioinformatics tool, to identify novel pathologs from within large-scale mouse transcript datasets.

  3. Extraction of compositional and hydration information of sulfates from laser-induced plasma spectra recorded under Mars atmospheric conditions - Implications for ChemCam investigations on Curiosity rover

    Energy Technology Data Exchange (ETDEWEB)

    Sobron, Pablo, E-mail: pablo.sobron@asc-csa.gc.ca [Department of Earth and Planetary Sciences and McDonnell Center for the Space Sciences, Washington University, St. Louis, MO 63130 (United States); Wang, Alian [Department of Earth and Planetary Sciences and McDonnell Center for the Space Sciences, Washington University, St. Louis, MO 63130 (United States); Sobron, Francisco [Unidad Asociada UVa-CSIC a traves del Centro de Astrobiologia, Parque Tecnologico de Boecillo, Parcela 203, Boecillo (Valladolid), 47151 (Spain)

    2012-02-15

    Given the volume of spectral data required for providing accurate compositional information and thereby insight in mineralogy and petrology from laser-induced breakdown spectroscopy (LIBS) measurements, fast data processing tools are a must. This is particularly true during the tactical operations of rover-based planetary exploration missions such as the Mars Science Laboratory rover, Curiosity, which will carry a remote LIBS spectrometer in its science payload. We have developed: an automated fast pre-processing sequence of algorithms for converting a series of LIBS spectra (typically 125) recorded from a single target into a reliable SNR-enhanced spectrum; a dedicated routine to quantify its spectral features; and a set of calibration curves using standard hydrous and multi-cation sulfates. These calibration curves allow deriving the elemental compositions and the degrees of hydration of various hydrous sulfates, one of the two major types of secondary minerals found on Mars. Our quantitative tools are built upon calibration-curve modeling, through the correlation of the elemental concentrations and the peak areas of the atomic emission lines observed in the LIBS spectra of standard samples. At present, we can derive the elemental concentrations of K, Na, Ca, Mg, Fe, Al, S, O, and H in sulfates, as well as the hydration degrees of Ca- and Mg-sulfates, from LIBS spectra obtained in both Earth atmosphere and Mars atmospheric conditions in a Planetary Environment and Analysis Chamber (PEACh). In addition, structural information can be potentially obtained for various Fe-sulfates. - Highlights: Black-Right-Pointing-Pointer Routines for LIBS spectral data fast automated processing. Black-Right-Pointing-Pointer Identification of elements and determination of the elemental composition. Black-Right-Pointing-Pointer Calibration curves for sulfate samples in Earth and Mars atmospheric conditions. Black-Right-Pointing-Pointer Fe curves probably related to the crystalline

  4. Cultivated Land Information Extraction and Gradient Analysis for a North-South Transect in Northeast Asia between 2000 and 2010

    Directory of Open Access Journals (Sweden)

    Juanle Wang

    2014-11-01

    Full Text Available Cultivated land resources are an important basis of regional sustainability; thus, it is important to determine the distribution of the cultivated land in the Northeast Asia trans-boundary area of China, Russia and Mongolia, which has a continuous geographic and ecological environment and an uneven population distribution. Extracting information about the cultivated land and determining the spatial and temporal distribution of its features in this large trans-boundary area is a challenge. In this study, we derived information about the cultivated land of the North-South Transect in Northeast Asia by Linear Spectral Mixing Model, using time series data with MODerate resolution Imaging Spectroradiometer (MODIS in 2000 and 2010. The validation showed more than 98% pixels with a root mean square error less than 0.05. The overall accuracy and spatial consistency coefficients were 81.63% and 0.78 in 2000 and 72.81% and 0.75 in 2010, respectively. The transect analyses indicate the presence of a greater amount of cultivated land in the south and less in the north. China owns most of the cultivated land in the transect area, followed by Mongolia and then Russia. A gradient analysis revealed a decrease of 34.16% of the cultivated land between 2000 and 2010. The amount of cultivated land decreased 22.37%, 58.93%, and 64.73% in China, Russia, and Mongolia, respectively. An analysis shows that the amount of cultivated land is primarily influenced by the various land development and protection policies in the different counties in this trans-boundary area.

  5. Developpement d'une nouvelle approche basee objets pour l'extraction automatique de l'information geographique en milieu urbain a partir des images satellitaires a tres haute resolution spatiale

    Science.gov (United States)

    Sebari, Imane

    The importance of the geographical information is incontestable for efficient decision making in urban environment. But, it is not always available. The very high spatial resolution (VHSR) satellite images constitute an interesting source of this information. However, the extraction of the geographical information from these images is until now problematic. The goal of the present study is to develop a new object-based approach for automatic extraction of geographical information in urban environment from very high spatial resolution images. The proposed approach is object-based image analysis. There are two principal steps: passage of pixels to object primitives and passage of primitives to final objects. The first stage uses a new multispectrale cooperative segmentation approach. Cooperation between region and edge information is exploited. Segments are created with respect to their spectral homogeneity. The threshold is adaptive and its determination is automatic. The second passage leaves from object primitives created by segmentation. Fuzzy rule base is generated from the human knowledge used for image interpretation. Several kinds of object proprieties are integrated (spectral, textural, geometric, and contextual). The concerned classes are trees, grass, bare soil and water as natural classes and building, road, parking lot as man made classes. Fuzzy logic and possibilities theories are integrated in the process of extraction. They permitted to manage the complexity of the studied objects, to reason with imprecise knowledge and to inform on precision and certainty of the extracted objects. The approach has been applied with success on various subsets of Ikonos and Quickbird images. The global extraction accuracy was about 80%. The object-based approach was able to extract buildings, roads and parking lots in urban areas with of 81%, 75% and 60% extraction accuracies respectively. The results are interesting with regard to that the same rule base was used. The

  6. Undergraduate Organic Experiment: Tetrazole Formation by Microwave Heated (3 + 2) Cycloaddition in Aqueous Solution

    Science.gov (United States)

    DeFrancesco, Heather; Dudley, Joshua; Coca, Adiel

    2018-01-01

    An undergraduate experiment for the organic laboratory is described that utilizes microwave heating to prepare 5- substituted 1H-tetrazole derivatives through a (3 + 2) cycloaddition between aryl nitriles and sodium azide. The reaction mixture is analyzed by thin layer chromatography. The products are purified through an acid-base extraction and…

  7. Depression literacy of undergraduates in a non-western developing context: the case of Sri Lanka.

    Science.gov (United States)

    Amarasuriya, Santushi D; Jorm, Anthony F; Reavley, Nicola J

    2015-10-22

    Research examining the depression literacy of undergraduates in non-western developing countries is limited. This study explores this among undergraduates in Sri Lanka. A total of 4671 undergraduates responded to a survey presenting a vignette of a depressed undergraduate. They were asked to identify the problem, describe their intended help-seeking actions if affected by it and rate the helpfulness of a range of help-providers and interventions for dealing with it. Mental health experts also rated these options, providing a benchmark for assessing the undergraduates' responses. Only 17.4% of undergraduates recognised depression, but this was significantly lower among those responding in Sinhala compared to English (3.5 vs 36.8%). More undergraduates indicated intentions of seeking informal help, such as from friends and parents, than from professionals, such as psychiatrists and counsellors. However, a majority rated all these help-providers as 'helpful', aligning with expert opinion. Other options recommended by experts and rated as 'helpful' by a large proportion of undergraduates included counselling/psychological therapy and self-help strategies such as doing enjoyable activities and meditation/yoga/relaxation exercises. However, a low proportion of undergraduates rated "western medicine to improve mood" as 'helpful', deviating from expert opinion. Although not endorsed by experts, undergraduates indicated intentions of using religious strategies, highly endorsing these as 'helpful'. Labelling the problem as depression and using mental health-related labels were both associated with higher odds of endorsing professional help, with the label 'depression' associated with endorsing a wider range of professional options. The recognition rate of depression might be associated with the language used to label it. These undergraduates' knowledge about the use of medication for depression needs improvement. Health promotion interventions for depressed undergraduates

  8. [Art in undergraduate medical education].

    Science.gov (United States)

    Fjellstad, Kenneth; Isaksen, Tor Olav; Frich, Jan C

    2003-08-28

    During the last decades attempts have been made at integrating art in medical education. What should be the form, content and objectives of such teaching? We address this question on the basis of a review of articles in medical journals from 1990 until May 2001 about art and undergraduate medical education. A common reason for integrating art in undergraduate medical education is that art may act as a balance to the dominance of natural science. One pedagogical approach is to use art as a tool for training skills. Many articles emphasise that teaching art should also contribute to the personal and professional development of medical students. The majority of articles report on courses in literature and medicine. Art is often taught in small or medium-sized groups; courses may last from single lessons to programmes over years. The aim of art courses may be the development of skills, but also one of facilitating personal growth and professional development.

  9. Thermodynamics a complete undergraduate course

    CERN Document Server

    Steane, Andrew M

    2016-01-01

    This is an undergraduate textbook in thermodynamics—the science of heat, work, temperature, and entropy. The text presents thermodynamics in and of itself, as an elegant and powerful set of ideas and methods. These methods open the way to understanding a very wide range of phenomena in physics, chemistry, engineering, and biology. Starting out from an introduction of concepts at first year undergraduate level, the roles of temperature, internal energy, and entropy are explained via the laws of thermodynamics. The text employs a combination of examples, exercises, and careful discussion, with a view to conveying the feel of the subject as well as avoiding common misunderstandings. The Feynman–Smuluchowski ratchet, Szilard’s engine, and Maxwell’s daemon are used to elucidate entropy and the second law. Free energy and thermodynamic potentials are discussed at length, with applications to solids as well as fluids and flow processes. Thermal radiation is discussed, and the main ideas significant to global...

  10. Innovation of Undergraduate Medical Education

    OpenAIRE

    植村, 研一; Uemura, Kenichi

    1995-01-01

    Classical undergraduate medical education in Japan has largely based on didactic lectures, followed by protocol-guided laboratory experiments and clinical training of history taking and physical examination. Such education strategies are efficient for cramming facts and theories, which will soon become obsolete by the time when the students go into clinical practice and are not effective for education of effective clinical skills. In the cognitive domain, what students must learn are not fact...

  11. Food Fish Identification from DNA Extraction through Sequence Analysis

    Science.gov (United States)

    Hallen-Adams, Heather E.

    2015-01-01

    This experiment exposed 3rd and 4th y undergraduates and graduate students taking a course in advanced food analysis to DNA extraction, polymerase chain reaction (PCR), and DNA sequence analysis. Students provided their own fish sample, purchased from local grocery stores, and the class as a whole extracted DNA, which was then subjected to PCR,…

  12. Retention of first aid and basic life support skills in undergraduate medical students

    OpenAIRE

    Ruijter, P.A. de; Biersteker, H.A.; Biert, J.; Goor, H. van; Tan, E.C.T.H.

    2014-01-01

    Background: Undergraduate medical students follow a compulsory first aid (FA) and basic life support (BLS) course. Retention of BLS seems poor and only little information is provided on the retention of FA skills. This study aims at evaluating 1- and 2-year retention of FA and BLS training in undergraduate medical students.Methods: One hundred and twenty students were randomly selected from first year (n=349) medical students who successfully followed a compulsory FA and BLS course. From thes...

  13. Grape Seed Extract

    Science.gov (United States)

    ... R S T U V W X Y Z Grape Seed Extract Share: On This Page Background How ... Foster This fact sheet provides basic information about grape seed extract—common names, usefulness and safety, and ...

  14. Pattern of Smartphones Utilisation among Engineering Undergraduates

    OpenAIRE

    Muliati Sedek

    2014-01-01

    The smartphones ownership among the undergraduates in Malaysia was recorded as high. However, little was known about its utilization patterns, thus, the focus of this research was to determine the utilisation patterns of smartphones based on the National Education Technology Standard for Students (NETS.S) among engineering undergraduates in Malaysia. This study was based on a quantitative research and the population comprised undergraduates from four Malaysian Technical Universities. A total ...

  15. Undergraduate Breakfast, Career Workshop, and Awards

    Science.gov (United States)

    2017-01-01

    Undergraduate students can enjoy a hearty breakfast and learn about how to prepare for a wide variety of careers in physics outside of academia. Topics of this interactive workshop will include planning and self-assessment, inventorying transferable skills, finding out more about career opportunities, and successfully applying for jobs. Immediately following the workshop, top presenters from the Undergraduate Research/SPS sessions will be recognized. All presenters in the undergraduate sessions will receive certificates acknowledging their scientific accomplishments.

  16. Evaluation of use of e-Learning in undergraduate radiology education: a review.

    Science.gov (United States)

    Zafar, Saad; Safdar, Saima; Zafar, Aasma N

    2014-12-01

    The aim of this review is to investigate the evaluative outcomes present in the literature according to Kirkpatrick's learning model and to examine the nature and characteristics of the e-Learning interventions in radiology education at undergraduate level. Four databases (PubMed, MEDLINE, Embase, Eric) are searched for publications related to the application of e-Learning in undergraduate radiology education. The search strategy is a combination of e-Learning and Mesh and non Mesh radiology and undergraduate related terms. These search strategies are established in relation to experts of respective domains. The full text of thirty pertinent articles is reviewed. Author's country and study location data is extracted to identify the most active regions and year's are extracted to know the existing trend. Data regarding radiology subfields and undergraduate year of radiology education is extracted along with e-Learning technologies to identify the most prevalent or suitable technologies or tools with respect to radiology contents. Kirkpatricks learning evaluation model is used to categorize the evaluative outcomes reported in the identified studies. The results of this analysis reveal emergence of highly interactive games, audience response systems and designing of wide range of customized tools according to learner needs assessment in radiology education at undergraduate level. All these initiatives are leading toward highly interactive self directed learning environments to support the idea of life-long independent learners. Moreover, majority of the studies in literature regarding e-Learning in radiology at undergraduate level are based on participant satisfaction followed by participant results or outcomes either before or after an intervention or both. There was no research particularly demonstrating performance change in clinical practice or patient outcome as they may be difficult to measure in medical education. Thus clinical competences and performances are

  17. Integrating genomics into undergraduate nursing education.

    Science.gov (United States)

    Daack-Hirsch, Sandra; Dieter, Carla; Quinn Griffin, Mary T

    2011-09-01

    To prepare the next generation of nurses, faculty are now faced with the challenge of incorporating genomics into curricula. Here we discuss how to meet this challenge. Steps to initiate curricular changes to include genomics are presented along with a discussion on creating a genomic curriculum thread versus a standalone course. Ideas for use of print material and technology on genomic topics are also presented. Information is based on review of the literature and curriculum change efforts by the authors. In recognition of advances in genomics, the nursing profession is increasing an emphasis on the integration of genomics into professional practice and educational standards. Incorporating genomics into nurses' practices begins with changes in our undergraduate curricula. Information given in didactic courses should be reinforced in clinical practica, and Internet-based tools such as WebQuest, Second Life, and wikis offer attractive, up-to-date platforms to deliver this now crucial content. To provide information that may assist faculty to prepare the next generation of nurses to practice using genomics. © 2011 Sigma Theta Tau International.

  18. Factors Affecting Learning Among Undergraduate Nursing Students: Cross-Sectional Survey

    Directory of Open Access Journals (Sweden)

    Linu Sara George

    2017-11-01

    Full Text Available Introduction: Nursing education expects the students to be competent enough to render quality care for their patients in hospital as well as community setting. To reach the level of expected competency, the students must undergo vigorous training during their undergraduate education. The learning experience of the students is influenced by many factors. Aim: To identify the factors, affecting learning as perceived by the students. Materials and Methods: This descriptive survey was conducted among 414 undergraduate nursing students enrolled in selected Nursing Colleges. Background information was collected using Demographic Proforma and the factors affecting learning were identified using Likert Scale. Factors were identified by exploratory factor analysis using extraction method of principal component analysis with varimax rotation. Results: Majority (73.7% of the samples were between 22-25 years of age, 93.2% were females, most (38.9% were studying in the fourth year of nursing, 50% of the students enrolled in the study had chosen nursing as a career due to job security in future, 58.7% students did not spent time every day for their studies and majority (89.1% had English as their medium of instruction in Pre-university college. Factor analysis identified five factors (Learning environment, Supportive services, Teacher characteristics, Learner challenges and Personal factors that affect the student learning. Conclusion: From the present study it can be concluded that perception of students do have an influence on factors affecting learning. The study findings will help the faculty members to bring in changes for the best learning outcome.

  19. Feature extraction from high resolution satellite imagery as an input to the development and rapid update of a METRANS geographic information system (GIS).

    Science.gov (United States)

    2011-06-01

    This report describes an accuracy assessment of extracted features derived from three : subsets of Quickbird pan-sharpened high resolution satellite image for the area of the : Port of Los Angeles, CA. Visual Learning Systems Feature Analyst and D...

  20. Undergraduate topology a working textbook

    CERN Document Server

    McCluskey, Aisling

    2014-01-01

    This textbook offers an accessible, modern introduction at undergraduate level to an area known variously as general topology, point-set topology or analytic topology with a particular focus on helping students to build theory for themselves. It is the result of several years of the authors' combined university teaching experience stimulated by sustained interest in advanced mathematical thinking and learning, alongside established research careers in analytic topology. Point-set topology is a discipline that needs relatively little background knowledge, but sufficient determination to grasp i

  1. Teaching undergraduate astrophysics with PIRATE

    Science.gov (United States)

    Brodeur, M. S.; Kolb, U.; Minocha, S.; Braithwaite, N.

    2014-12-01

    PIRATE is a 0.43m semi-autonomous research and teaching observatory owned by The Open University, UK. Since 2010, it has been reserved for several months of each year for teaching astronomy in the OU's undergraduate programme. As students in these courses operate PIRATE remotely rather than travelling to the observatory itself, we chose to investigate whether effective learning was adversely affected by the absence of a more traditional `hands on' experience. We discuss student perspectives on the technologies employed (i.e., remote and virtual investigations), the impact these had on perceived course outcomes, and consider implications for future teaching and outreach.

  2. Medical informatics in an undergraduate curriculum: a qualitative study

    Science.gov (United States)

    Buckeridge, David L; Goel, Vivek

    2002-01-01

    Background There is strong support for educating physicians in medical informatics, and the benefits of such education have been clearly identified. Despite this, North American medical schools do not routinely provide education in medical informatics. Methods We conducted a qualitative study to identify issues facing the introduction of medical informatics into an undergraduate medical curriculum. Nine key informants at the University of Toronto medical school were interviewed, and their responses were transcribed and analyzed to identify consistent themes. Results The field of medical informatics was not clearly understood by participants. There was, however, strong support for medical informatics education, and the benefits of such education were consistently identified. In the curriculum we examined, medical informatics education was delivered informally and inconsistently through mainly optional activities. Issues facing the introduction of medical informatics education included: an unclear understanding of the discipline; faculty and administrative detractors and, the dense nature of the existing undergraduate medical curriculum. Conclusions The identified issues may present serious obstacles to the introduction of medical informatics education into an undergraduate medicine curriculum, and we present some possible strategies for addressing these issues. PMID:12207827

  3. Protein Extractability

    African Journals Online (AJOL)

    Results showed that protein extractability was dependent on pH, type of salt, salt concentrations and extraction time. Salts extracted more proteins from the moringa seed flour than water. Maximum extraction of protein was. 85.06% and 84.72% with 0.5 M CaCl and 0.75 M NaCl respectively. On varying the pH, maximum ...

  4. Promoting Undergraduate Research at Grand Valley State University

    Science.gov (United States)

    Riemersma, P.; Mekik, F. A.

    2003-12-01

    of undergraduate research. Students are more likely to tackle larger research projects if they have gained confidence and experience by successfully completing smaller research projects. Many upper level geology courses require that students complete a research project. Research projects can range from investigating the grain size variability of river sediment in sedimentology to analyzing a Superfund site in hydrogeology. The geology department is also committed to instructing all our majors in how to organize and communicate the results of their research. Students are required to complete a course in geology Information Literacy and a geology seminar course. The information literacy course instructs the students in how to search for articles, introduces common graphing and computing software and demonstrates how to design and produce a research poster. In seminar, the entire geology faculty participate and instruct and mentor the students as they prepare a research paper and professional talk. In conclusion, we have created a supportive undergraduate research atmosphere at GVSU by acquiring funding for their research, by training our students in how to conduct and present their research, and, perhaps most importantly, by celebrating their accomplishments.

  5. Undergraduate Research as Engaged Student Learning

    Science.gov (United States)

    Wolf, Lorraine W.

    2018-01-01

    This chapter discusses the impact of undergraduate research as a form of engaged student learning. It summarizes the gains reported in post-fellowship assessment essays acquired from students participating in the Auburn University Undergraduate Research Fellowship Program. The chapter also discusses the program's efforts to increase opportunities…

  6. Imitation in Undergraduate Teaching and Learning

    Science.gov (United States)

    Zhou, Jiangyuan; Guo, Wei

    2016-01-01

    Research in developmental psychology and neuroscience has demonstrated the critical role of imitation in human learning. Self-report questionnaires collected from 456 undergraduate students in two U.S. institutions and one Chinese institution demonstrated that undergraduate students from both U.S. and Chinese cultures used various imitations in…

  7. Early undergraduate research experience at Makerere University ...

    African Journals Online (AJOL)

    To remain relevant the Faculty of Medicine Makerere University needs to identify research enhancing opportunities like undergraduate research experiences. Methods: This was a cross sectional study involving 424 graduate and undergraduate students of Makerere University Medical School on the traditional curriculum.

  8. Undergraduate Women's Persistence in the Sciences

    Science.gov (United States)

    George-Jackson, Casey E.

    2014-01-01

    This study uses longitudinal data of undergraduate students from five public land-grant universities to better understand undergraduate students' persistence in and switching of majors, with particular attention given to women's participation in science, technology, engineering, and mathematics (STEM) fields. Specifically, the study examines…

  9. Internet Usage and Academic Performance of Undergraduate ...

    African Journals Online (AJOL)

    The study examined the influence of internet usage on academic performance of undergraduate students of the University ofIlorin, Nigeria.This study adopted descriptive survey method. Six faculties were randomly selected from the 13 faculties in the University while 200 undergraduate students were sampled across these ...

  10. Undergraduates Perspectives on Sex Education and Teenage ...

    African Journals Online (AJOL)

    This study examines undergraduates' perspective on sex education and teenage pregnancy in Covenant University, Ota, Ogun State, Nigeria. The study population was 250 undergraduates of Covenant University. Frequency tables, linear regression analysis and analysis of variance were used to analyze the data collected ...

  11. Students' perspectives of undergraduate research methods ...

    African Journals Online (AJOL)

    Introduction: in this study we used a model of adult learning to explore undergraduate students' views on how to improve the teaching of research methods and biostatistics. Methods: this was a secondary analysis of survey data of 600 undergraduate students from three medical schools in Uganda. The analysis looked at ...

  12. Lecturers' Views on Ghana's Undergraduate Mathematics Education

    Science.gov (United States)

    Assuah, Charles; Ayebo, Abraham

    2015-01-01

    This paper synthesizes the views of 6 university lecturers on Ghana's undergraduate mathematics education. These views were expressed during a mathematics workshop sensitization program on the "contribution of undergraduate mathematics education to the Ghanaian economy." The data consisting of open-ended questions followed by…

  13. Social Work Faculty and Undergraduate Research Mentorships

    Science.gov (United States)

    Horner, Pilar S.; Hughes, Anne K.; Vélez Ortiz, Daniel

    2016-01-01

    Social work faculty scholars lead the field as generators of knowledge that integrates investigative studies with practical social welfare outcomes. As such, the faculty potentially offers undergraduate researchers a different way of envisioning research that extends beyond traditional undergraduate research models. To date, however, no research…

  14. Applications of AViz in Undergraduate Education

    Science.gov (United States)

    Adler, J.; Rosen, S.

    Animated visualizations of physical systems can help undergraduate students understand and even enjoy their Physics classes. Preparing such visualizations provides interesting projects for senior undergraduate and graduate students, who learn basic techniques of computer simulation on systems that are relatively easy for them to understand.

  15. Agriculture Undergraduates Preference For Agriculture Disciplines ...

    African Journals Online (AJOL)

    The broad objective of this study research is to investigate the preferences for the different disciplines in agriculture by undergraduate students of Agriculture with a view to understanding the effect on future manpower needs in Nigerian agriculture. Data for the study were collected from 99 randomly selected undergraduate ...

  16. Undergraduate Research in the Dartmouth Economics Department

    Science.gov (United States)

    Feyrer, James

    2017-01-01

    One of the key components to the undergraduate research enterprise at Dartmouth is the recognition that learning to do research requires both directed instruction and learning by doing. The economics faculty have tailored a fruitful undergraduate research program based on this philosophy, and this article describes these efforts while also…

  17. An Undergraduate, Interdisciplinary Program in Gerontology.

    Science.gov (United States)

    Puglisi, J. Thomas

    The program development project described in this report was undertaken at the University of North Carolina at Charlotte to develop faculty expertise and experience in undergraduate teaching in gerontology and to lay the foundation for an interdisciplinary, undergraduate minor in gerontology. Three core courses for the minor in gerontology were…

  18. Research: Clinical undergraduate medical student training at ...

    African Journals Online (AJOL)

    To profile the clinicians at Kimberley Hospital Complex in terms of their knowledge of, skills in and perspectives on the added responsibility of clinical undergraduate medical student training prior to the launch of the proposed undergraduate student rotations. Methods. The study followed a qualitative research design using ...

  19. Joint hypermobility syndrome among undergraduate students | Didia ...

    African Journals Online (AJOL)

    Objective: To assess the prevalence of joint hypermobility syndrome among undergraduate students of the University of Port Harcourt, Nigeria using the Beighton's criteria. Design: Cross- sectional prospective study of 550 randomly selected undergraduate students . Setting: Departments of Anatomy and Human Physiology ...

  20. Prevalence and Severity of Depression among Undergraduate ...

    African Journals Online (AJOL)

    Purpose: To highlight the prevalence and severity of depression among undergraduate students in public and private ... mental health effect of university education on undergraduate students, especially female students. Keywords: Depression ..... Kim YS, Koh YJ, Leventhal B. School bullying and suicidal risk in Korean ...