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. 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…

  7. Scenario Customization for Information Extraction

    National Research Council Canada - National Science Library

    Yangarber, Roman

    2001-01-01

    Information Extraction (IE) is an emerging NLP technology, whose function is to process unstructured, natural language text, to locate specific pieces of information, or facts, in the text, and to use these facts to fill a database...

  8. 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 heter......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...

  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. 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

  11. Information Competencies for Chemistry Undergraduates and Related Collaborative Endeavors

    Science.gov (United States)

    Peters, Marion C.

    2014-01-01

    "Information Competencies for Chemistry Undergraduates: The Elements of Information Literacy", (2012-) now in its second edition and available as a Wikibook since 2012, resulted from collaboration by chemistry librarians participating in several professional organizations. Sections covering a) the library and scientific literature and b)…

  12. 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…

  13. Transforming Nigeria undergraduate training through information ...

    African Journals Online (AJOL)

    Information Impact: Journal of Information and Knowledge Management. Journal Home · ABOUT THIS JOURNAL · Advanced Search · Current Issue · Archives · Journal Home > Vol 2, No 2 (2011) >. Log in or Register to get access to full text downloads.

  14. 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...

  15. 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…

  16. Assessment of Student Outcomes in Undergraduate Health Information Administration Programs

    OpenAIRE

    Smith, Jody

    2006-01-01

    The purpose of this research was to a) determine what assessment methods are being used in undergraduate health information administration programs to assess student learning and the usefulness of those methods, b) determine to what extent programs have incorporated good student learning assessment practices. Programs use a variety of assessment tools to measure student learning; the most useful include assessments by the professional practice supervisor, course tests, assignments, presentati...

  17. 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

  18. 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.

  19. 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…

  20. 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.

  1. 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...

  2. Sequencing Genetics Information: Integrating Data into Information Literacy for Undergraduate Biology Students

    Science.gov (United States)

    MacMillan, Don

    2010-01-01

    This case study describes an information literacy lab for an undergraduate biology course that leads students through a range of resources to discover aspects of genetic information. The lab provides over 560 students per semester with the opportunity for hands-on exploration of resources in steps that simulate the pathways of higher-level…

  3. 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.

  4. An Analysis of Informal Reasoning Fallacy and Critical Thinking Dispositions among Malaysian Undergraduates

    Science.gov (United States)

    Ramasamy, Shamala

    2011-01-01

    In this information age, the amount of complex information available due to technological advancement would require undergraduates to be extremely competent in processing information systematically. Critical thinking ability of undergraduates has been the focal point among educators, employers and the public at large. One of the dimensions of…

  5. Information Extraction for Social Media

    NARCIS (Netherlands)

    Habib, M. B.; Keulen, M. van

    2014-01-01

    The rapid growth in IT in the last two decades has led to a growth in the amount of information available online. A new style for sharing information is social media. Social media is a continuously instantly updated source of information. In this position paper, we propose a framework for

  6. 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.

  7. 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 ...

  8. Information Extraction From Chemical Patents

    Directory of Open Access Journals (Sweden)

    Sandra Bergmann

    2012-01-01

    Full Text Available The development of new chemicals or pharmaceuticals is preceded by an indepth analysis of published patents in this field. This information retrieval is a costly and time inefficient step when done by a human reader, yet it is mandatory for potential success of an investment. The goal of the research project UIMA-HPC is to automate and hence speed-up the process of knowledge mining about patents. Multi-threaded analysis engines, developed according to UIMA (Unstructured Information Management Architecture standards, process texts and images in thousands of documents in parallel. UNICORE (UNiform Interface to COmputing Resources workflow control structures make it possible to dynamically allocate resources for every given task to gain best cpu-time/realtime ratios in an HPC environment.

  9. 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…

  10. 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.

  11. Extracting Information from Multimedia Meeting Collections

    OpenAIRE

    Gatica-Perez, Daniel; Zhang, Dong; Bengio, Samy

    2005-01-01

    Multimedia meeting collections, composed of unedited audio and video streams, handwritten notes, slides, and electronic documents that jointly constitute a raw record of complex human interaction processes in the workplace, have attracted interest due to the increasing feasibility of recording them in large quantities, by the opportunities for information access and retrieval applications derived from the automatic extraction of relevant meeting information, and by the challenges that the ext...

  12. 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...

  13. Graduate Students May Need Information Literacy Instruction as Much as Undergraduates

    Directory of Open Access Journals (Sweden)

    Robin Elizabeth Miller

    2014-09-01

    Full Text Available A Review of: Conway, Kate. (2011. How prepared are students for postgraduate study? A comparison of the information literacy skills of commencing undergraduate and postgraduate studies students at Curtin University. Australian Academic & Research Libraries, 42(2, 121-135. Abstract Objective – To determine whether there is a difference in the information literacy skills of postgraduate and undergraduate students beginning an information studies program, and to examine the influence of demographic characteristics on information literacy skills. Design – Online, multiple choice questionnaire to test basic information literacy skills. Setting – Information studies program at a large university in Western Australia. Subjects – 64 information studies students who responded to an email invitation to participate in an online questionnaire, a 44% response rate. Of those responding, 23 were undergraduates and 41 were postgraduates. Methods – Over the course of two semesters, an online survey was administered. In order to measure student performance against established standards, 25 test questions were aligned with the Australian and New Zealand Information Literacy Framework (ANZIIL (Bundy, 2004, an adapted version of the ACRL Information Literacy Standards for Higher Education (Association of College & Research Libraries, 2000. In the first semester that the survey was administered, 9 demographic questions were asked and 11 in the second semester. Participants were invited to respond voluntarily to the questionnaire via email. Results were presented as descriptive statistics, comparing undergraduate and postgraduate student performance. The results were not tested for statistical significance and the author did not control for confounding variables. Main Results – Postgraduate respondents scored an average of 77% on the test questionnaire, while undergraduates scored an average of 69%. The 25% of respondents who had previous work experience

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

    African Journals Online (AJOL)

    ... among the undergraduate students in academic libraries in a recessed economy. ... and simple percentages were used to analyze the data for the research question. ... it also promoted their learning abilities and enhanced the development of research ... It was recommended that the management should make available ...

  15. ICT Facilitated Access to Information and Undergraduates' Cheating Behaviours

    Science.gov (United States)

    Trushell, John; Byrne, Kevin; Hassan, Nasima

    2013-01-01

    This paper describes an illuminative small-scale study that featured a survey instrument, distributed to 66 undergraduate students of Education and social science. The investigation concerned students' use of ICT--including a virtual learning environment and the Internet--and students' engagement in lecturer impressing strategies and cheating…

  16. 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

  17. 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.

  18. 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…

  19. Information extraction from muon radiography data

    International Nuclear Information System (INIS)

    Borozdin, K.N.; Asaki, T.J.; Chartrand, R.; Hengartner, N.W.; Hogan, G.E.; Morris, C.L.; Priedhorsky, W.C.; Schirato, R.C.; Schultz, L.J.; Sottile, M.J.; Vixie, K.R.; Wohlberg, B.E.; Blanpied, G.

    2004-01-01

    Scattering muon radiography was proposed recently as a technique of detection and 3-d imaging for dense high-Z objects. High-energy cosmic ray muons are deflected in matter in the process of multiple Coulomb scattering. By measuring the deflection angles we are able to reconstruct the configuration of high-Z material in the object. We discuss the methods for information extraction from muon radiography data. Tomographic methods widely used in medical images have been applied to a specific muon radiography information source. Alternative simple technique based on the counting of high-scattered muons in the voxels seems to be efficient in many simulated scenes. SVM-based classifiers and clustering algorithms may allow detection of compact high-Z object without full image reconstruction. The efficiency of muon radiography can be increased using additional informational sources, such as momentum estimation, stopping power measurement, and detection of muonic atom emission.

  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. 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.

  3. 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

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

    African Journals Online (AJOL)

    Information Impact: Journal of Information and Knowledge Management ... goggle, print textbooks, library materials and social media as major research resources. ... in line with the findings of the study: Training of students on computers skills, ...

  5. Iranian undergraduate nursing student perceptions of informal learning: A qualitative research.

    Science.gov (United States)

    Seylani, Khatereh; Negarandeh, Reza; Mohammadi, Easa

    2012-11-01

    Nursing education is both formal and informal. Formal education represents only a small part of all the learning involved; and many students learn more effectively through informal processes. There is little information about nursing student informal education and how it affects their character and practice. This qualitative study explores undergraduate nursing student perceptions of informal learning during nursing studies. Data were gathered through semi-structured interviews with a sample of undergraduate nursing students (n = 14). Strauss and Corbin's constant comparison analysis approach was used for data analysis. The categories that emerged included personal maturity and emotional development, social development, closeness to God, alterations in value systems, and ethical and professional commitment. Findings reveal that nursing education could take advantage of informal learning opportunities to develop students' nontechnical skills and produce more competent students. Implications for nursing education are discussed.

  6. Chaotic spectra: How to extract dynamic information

    International Nuclear Information System (INIS)

    Taylor, H.S.; Gomez Llorente, J.M.; Zakrzewski, J.; Kulander, K.C.

    1988-10-01

    Nonlinear dynamics is applied to chaotic unassignable atomic and molecular spectra with the aim of extracting detailed information about regular dynamic motions that exist over short intervals of time. It is shown how this motion can be extracted from high resolution spectra by doing low resolution studies or by Fourier transforming limited regions of the spectrum. These motions mimic those of periodic orbits (PO) and are inserts into the dominant chaotic motion. Considering these inserts and the PO as a dynamically decoupled region of space, resonant scattering theory and stabilization methods enable us to compute ladders of resonant states which interact with the chaotic quasi-continuum computed in principle from basis sets placed off the PO. The interaction of the resonances with the quasicontinuum explains the low resolution spectra seen in such experiments. It also allows one to associate low resolution features with a particular PO. The motion on the PO thereby supplies the molecular movements whose quantization causes the low resolution spectra. Characteristic properties of the periodic orbit based resonances are discussed. The method is illustrated on the photoabsorption spectrum of the hydrogen atom in a strong magnetic field and on the photodissociation spectrum of H 3 + . Other molecular systems which are currently under investigation using this formalism are also mentioned. 53 refs., 10 figs., 2 tabs

  7. 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...

  8. Extraction of temporal information in functional MRI

    Science.gov (United States)

    Singh, M.; Sungkarat, W.; Jeong, Jeong-Won; Zhou, Yongxia

    2002-10-01

    The temporal resolution of functional MRI (fMRI) is limited by the shape of the haemodynamic response function (hrf) and the vascular architecture underlying the activated regions. Typically, the temporal resolution of fMRI is on the order of 1 s. We have developed a new data processing approach to extract temporal information on a pixel-by-pixel basis at the level of 100 ms from fMRI data. Instead of correlating or fitting the time-course of each pixel to a single reference function, which is the common practice in fMRI, we correlate each pixel's time-course to a series of reference functions that are shifted with respect to each other by 100 ms. The reference function yielding the highest correlation coefficient for a pixel is then used as a time marker for that pixel. A Monte Carlo simulation and experimental study of this approach were performed to estimate the temporal resolution as a function of signal-to-noise ratio (SNR) in the time-course of a pixel. Assuming a known and stationary hrf, the simulation and experimental studies suggest a lower limit in the temporal resolution of approximately 100 ms at an SNR of 3. The multireference function approach was also applied to extract timing information from an event-related motor movement study where the subjects flexed a finger on cue. The event was repeated 19 times with the event's presentation staggered to yield an approximately 100-ms temporal sampling of the haemodynamic response over the entire presentation cycle. The timing differences among different regions of the brain activated by the motor task were clearly visualized and quantified by this method. The results suggest that it is possible to achieve a temporal resolution of /spl sim/200 ms in practice with this approach.

  9. 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'…

  10. A 10-Year Assessment of Information and Communication Technology Tasks Required in Undergraduate Agriculture Courses

    Science.gov (United States)

    Edgar, Leslie D.; Johnson, Donald M.; Cox, Casandra

    2012-01-01

    This study sought to assess required information and communication technology (ICT) tasks in selected undergraduate agriculture courses in a land-grant university during a 10-year period. Selected agriculture faculty members in the fall 1999 (n = 63), 2004 (n = 55), and 2009 (n = 64) semesters were surveyed to determine the ICT tasks they required…

  11. 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,…

  12. Informal Reasoning Fallacy and Critical Thinking Dispositions: A Univariate Study of Demographic Characteristics among Malaysian Undergraduates

    Science.gov (United States)

    Ramasamy, Shamala

    2011-01-01

    A component in the study of critical thinking which needs to be addressed is informal reasoning fallacy. It is a type of mental trickery which is able to self-deceive undergraduates and public at large. In order to practice good critical thinking, one has to detect and get rid of these fallacies. However, students have to be disposed in detecting…

  13. 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…

  14. 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…

  15. 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…

  16. 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,…

  17. Optical Aperture Synthesis Object's Information Extracting Based on Wavelet Denoising

    International Nuclear Information System (INIS)

    Fan, W J; Lu, Y

    2006-01-01

    Wavelet denoising is studied to improve OAS(optical aperture synthesis) object's Fourier information extracting. Translation invariance wavelet denoising based on Donoho wavelet soft threshold denoising is researched to remove Pseudo-Gibbs in wavelet soft threshold image. OAS object's information extracting based on translation invariance wavelet denoising is studied. The study shows that wavelet threshold denoising can improve the precision and the repetition of object's information extracting from interferogram, and the translation invariance wavelet denoising information extracting is better than soft threshold wavelet denoising information extracting

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

    African Journals Online (AJOL)

    role in our daily professional and personal lives and we are constantly challenged to take ... and academic librarian deliver standard services which will improve the academic .... quality of content in selecting an information source or channel.

  19. 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…

  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. 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.

  2. 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…

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

    OpenAIRE

    Alice Schmidt Hanbidge; Nicole Sanderson; Tony Tin

    2015-01-01

    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 us...

  4. 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.

  5. 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

  6. 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.

  7. Use of Reproductive Health Information among University Undergraduates in Ogun State, Nigeria

    Directory of Open Access Journals (Sweden)

    Samuel Olu Adeyoyin

    2017-09-01

    Full Text Available Young adults bear a higher risk of reproductive health problems than adults. Cases of unwanted pregnancies and their attendant complications reportedly rank among the highest in Africa. This study therefore investigates reproductive health and use of health information among university undergraduates in Nigeria. Correlational research design was adopted using descriptive survey method. Questionnaire was designed and used as survey instrument. The study used 25% of 6,978 undergraduate students from government and private universities in Abeokuta, Ogun State between 16-24 years old from each of the 35 departments that made up 8 colleges in the two universities. A total number of 1,745 copies of questionnaire were administered to the respondents out of which 1,500 copies were filled completely and retrieved making the response rate to be 86.95%. The findings of this study show that friends, parents and relatives were the closest sources of health information the respondents have used for reproductive health purposes. Utilisation of health information through information resources was effective. The study also concludes that cultural value, level of education and unfriendly attitude of health officials were parts of the major problems confronting effective utilization of reproductive health information among young adults in Nigeria.

  8. 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.

  9. Information technology industry certification's impact on undergraduate student perception of instructor effectiveness

    Science.gov (United States)

    Andersson, David L.

    The field of Computer Information Systems (CIS) or Information Technology (IT) is experiencing rapid change. A 2003 study analyzing the IT degree programs and those of competing disciplines at 10 post-secondary institutions concluded that information technology programs are perceived differently from information systems and computer science programs and are significantly less focused on both math and pure science subjects. In Information Technology programs, voluntary professional certifications, generally known in the Information Technology field as "IT" certifications, are used as indicators of professional skill. A descriptive study noting one subject group's responses to items that were nearly identical except for IT certification information was done to investigate undergraduate CIS/IT student perceptions of IT industry certified instructors. The subject group was comprised of undergraduate CIS/IT students from a regionally accredited private institution and a public institution. The methodology was descriptive, based on a previous model by Dr. McKillip, Professor of Psychology, Southern Illinois University at Carbondale, utilizing a web-based survey instrument with a Likert scale, providing for voluntary anonymous responses outside the classroom over a ten day window. The results indicated that IT certification affected student perceptions of instructor effectiveness, teaching methodology, and student engagement in the class, and to a lesser degree, instructor technical qualifications. The implications suggest that additional research on this topic is merited. Although the study was not designed to examine the precise cause and effect, an important implication is that students may be motivated to attend classes taught by instructors they view as more confident and effective and that teachers with IT industry certification can better engage their students.

  10. 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.

  11. 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.

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

    Indian Academy of Sciences (India)

    Information extraction (IE); text mining; text repositories; knowledge discovery from .... general purpose English words. However ... of precision and recall, as extensive experimentation is required due to lack of public tagged corpora. 4. Mining ...

  13. 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.

  14. Undergraduate Student Nurses' Use of Information and Communication Technology in Their Education.

    Science.gov (United States)

    Honey, Michelle

    2018-01-01

    Students expect to use technology in their study just as they use technology in other aspects of their life. Technology is embedded in the day-to-day work of nursing, and therefore needs to be integrated in education to prepare students to assume professional roles and develop skills for lifelong learning. A quantitative descriptive study, using an anonymous survey, explored how undergraduate student nurses from one New Zealand school of nursing, access information and communication technologies for their learning. In total 226 completed questionnaires were returned (75%). Nearly all students (96%) have smart phones, all students have a computer and 99% use the university learning management system daily or several times a week. The search engine most commonly used to find information for assignments was Google Scholar (91%), with only 78% using subject specific academic databases. Implications from this study include the need for charging stations and further education on information searching.

  15. Integrating Information Extraction Agents into a Tourism Recommender System

    Science.gov (United States)

    Esparcia, Sergio; Sánchez-Anguix, Víctor; Argente, Estefanía; García-Fornes, Ana; Julián, Vicente

    Recommender systems face some problems. On the one hand information needs to be maintained updated, which can result in a costly task if it is not performed automatically. On the other hand, it may be interesting to include third party services in the recommendation since they improve its quality. In this paper, we present an add-on for the Social-Net Tourism Recommender System that uses information extraction and natural language processing techniques in order to automatically extract and classify information from the Web. Its goal is to maintain the system updated and obtain information about third party services that are not offered by service providers inside the system.

  16. 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…

  17. 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

  18. 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

  19. The role of tablets in accessing information throughout undergraduate medical education in Botswana.

    Science.gov (United States)

    Witt, Rachel E; Kebaetse, Masego B; Holmes, John H; Littman-Quinn, Ryan; Ketshogileng, Dineo; Antwi, Cynthia; Kovarik, Carrie; Nkomazana, Oathokwa

    2016-04-01

    Mobile learning (mLearning) uses wireless networks and mobile devices to expand physician trainees' and healthcare providers' access to and exchange of medical information. Opportunities to increase implementation and expand use of mobile devices to support health care information access and delivery in Africa are vast, but the rapid growth of mLearning has caused project implementation to outpace objective measurement of impact. This study makes a contribution to the existing body of literature regarding mLearning implementation in Africa through its focus on the use of smart devices (tablets) in undergraduate medical education and medical students' perceptions of the effects on their learning environment. The population of this prospective mixed-methods study consisted of 82 undergraduate medical students (45 third year and 37 fourth year) at the University of Botswana Faculty of Medicine. They received tablets in the earliest phase of the mLearning project implementation (between November 2012 and January 2013), when they were in the third and fourth year of their medical training. Usage of the tablets was assessed both quantitatively and qualitatively, through both application usage tracking and focus groups. Based on application usage data and coding and analysis of focus group discussions, undergraduate medical students indicated that tablets were useful in their medical education, allowing them continual access to information and opportunities for communication. Participants noted that the primary barrier to use of tablets was the lack of mobile cellular Internet beyond the Wi-Fi zones at the training sites. Moreover, participants offered suggestions for improvements to the implementation process. Even in resource-limited settings where Internet access can be unreliable and intermittent, the adoption of tablets can have benefits to medical education by providing consistent access to extensive and current medical information resources. This study highlights

  20. Extraction of Information of Audio-Visual Contents

    Directory of Open Access Journals (Sweden)

    Carlos Aguilar

    2011-10-01

    Full Text Available In this article we show how it is possible to use Channel Theory (Barwise and Seligman, 1997 for modeling the process of information extraction realized by audiences of audio-visual contents. To do this, we rely on the concepts pro- posed by Channel Theory and, especially, its treatment of representational systems. We then show how the information that an agent is capable of extracting from the content depends on the number of channels he is able to establish between the content and the set of classifications he is able to discriminate. The agent can endeavor the extraction of information through these channels from the totality of content; however, we discuss the advantages of extracting from its constituents in order to obtain a greater number of informational items that represent it. After showing how the extraction process is endeavored for each channel, we propose a method of representation of all the informative values an agent can obtain from a content using a matrix constituted by the channels the agent is able to establish on the content (source classifications, and the ones he can understand as individual (destination classifications. We finally show how this representation allows reflecting the evolution of the informative items through the evolution of audio-visual content.

  1. Semantic Information Extraction of Lanes Based on Onboard Camera Videos

    Science.gov (United States)

    Tang, L.; Deng, T.; Ren, C.

    2018-04-01

    In the field of autonomous driving, semantic information of lanes is very important. This paper proposes a method of automatic detection of lanes and extraction of semantic information from onboard camera videos. The proposed method firstly detects the edges of lanes by the grayscale gradient direction, and improves the Probabilistic Hough transform to fit them; then, it uses the vanishing point principle to calculate the lane geometrical position, and uses lane characteristics to extract lane semantic information by the classification of decision trees. In the experiment, 216 road video images captured by a camera mounted onboard a moving vehicle were used to detect lanes and extract lane semantic information. The results show that the proposed method can accurately identify lane semantics from video images.

  2. 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.

  3. 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%. 

  4. 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.

  5. 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.

  6. 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…

  7. The determination of vanillin in a vanilla extract : an analytical undergraduate experiment

    NARCIS (Netherlands)

    Beckers, J.L.

    2005-01-01

    Vanillin is an interesting compound, often used in educational chemistry. It can be synthesized from the plant extract eugenol and can be used for the preparation of diverse products. Less attention is paid, however, to the determination of vanillin, although it can be analyzed in a rather simple

  8. 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…

  9. 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.

  10. 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.

  11. 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.

  12. NAMED ENTITY RECOGNITION FROM BIOMEDICAL TEXT -AN INFORMATION EXTRACTION TASK

    Directory of Open Access Journals (Sweden)

    N. Kanya

    2016-07-01

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

  13. 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

  14. A Two-Step Resume Information Extraction Algorithm

    Directory of Open Access Journals (Sweden)

    Jie Chen

    2018-01-01

    Full Text Available With the rapid growth of Internet-based recruiting, there are a great number of personal resumes among recruiting systems. To gain more attention from the recruiters, most resumes are written in diverse formats, including varying font size, font colour, and table cells. However, the diversity of format is harmful to data mining, such as resume information extraction, automatic job matching, and candidates ranking. Supervised methods and rule-based methods have been proposed to extract facts from resumes, but they strongly rely on hierarchical structure information and large amounts of labelled data, which are hard to collect in reality. In this paper, we propose a two-step resume information extraction approach. In the first step, raw text of resume is identified as different resume blocks. To achieve the goal, we design a novel feature, Writing Style, to model sentence syntax information. Besides word index and punctuation index, word lexical attribute and prediction results of classifiers are included in Writing Style. In the second step, multiple classifiers are employed to identify different attributes of fact information in resumes. Experimental results on a real-world dataset show that the algorithm is feasible and effective.

  15. Optimum detection for extracting maximum information from symmetric qubit sets

    International Nuclear Information System (INIS)

    Mizuno, Jun; Fujiwara, Mikio; Sasaki, Masahide; Akiba, Makoto; Kawanishi, Tetsuya; Barnett, Stephen M.

    2002-01-01

    We demonstrate a class of optimum detection strategies for extracting the maximum information from sets of equiprobable real symmetric qubit states of a single photon. These optimum strategies have been predicted by Sasaki et al. [Phys. Rev. A 59, 3325 (1999)]. The peculiar aspect is that the detections with at least three outputs suffice for optimum extraction of information regardless of the number of signal elements. The cases of ternary (or trine), quinary, and septenary polarization signals are studied where a standard von Neumann detection (a projection onto a binary orthogonal basis) fails to access the maximum information. Our experiments demonstrate that it is possible with present technologies to attain about 96% of the theoretical limit

  16. 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.

  17. 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.

  18. 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

  19. 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)

  20. Robust Vehicle and Traffic Information Extraction for Highway Surveillance

    Directory of Open Access Journals (Sweden)

    Yeh Chia-Hung

    2005-01-01

    Full Text Available A robust vision-based traffic monitoring system for vehicle and traffic information extraction is developed in this research. It is challenging to maintain detection robustness at all time for a highway surveillance system. There are three major problems in detecting and tracking a vehicle: (1 the moving cast shadow effect, (2 the occlusion effect, and (3 nighttime detection. For moving cast shadow elimination, a 2D joint vehicle-shadow model is employed. For occlusion detection, a multiple-camera system is used to detect occlusion so as to extract the exact location of each vehicle. For vehicle nighttime detection, a rear-view monitoring technique is proposed to maintain tracking and detection accuracy. Furthermore, we propose a method to improve the accuracy of background extraction, which usually serves as the first step in any vehicle detection processing. Experimental results are given to demonstrate that the proposed techniques are effective and efficient for vision-based highway surveillance.

  1. 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...

  2. 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.

  3. Utilization of E-Counseling in Career Information Dissemination Among Undergraduates of Federal Universities in South East Nigeria

    Directory of Open Access Journals (Sweden)

    Joachim Chinweike Omeje

    2016-06-01

    Full Text Available This descriptive survey study was designed to find out the utilization of e-counseling in career information dissemination among the undergraduates of the federal universities in South East Nigeria. Three research questions and three null hypotheses guided the study. The population of the study consisted of 36 guidance counselors and 64,997 undergraduates of the federal universities in South East Nigeria. The sample consisted of 1,036 participants. This is made up of all the 36 guidance counselors in the federal universities in South East Nigeria, and 1,000 undergraduates randomly selected from the various universities. In each university, 200 undergraduates made up of 100 males and 100 females were randomly selected using balloting by replacement. All the guidance counselors were used due to smallness in number. The instrument for data collection was the E-Counselling Career Information Dissemination Questionnaire (E-CCIDQ. The reliability of the instrument was established using Cronbach’s alpha statistical analysis, and reliability indices of .91, .85, and .84 were obtained for the three clusters. Data for the research questions were answered using percentage, mean, and standard deviation, while the null hypotheses were analyzed using t test statistics tested at the .05 level of significance. The research findings revealed that the universities in South East of Nigeria have e-counseling facilities and the students are very aware of e-counseling opportunities in the universities. Also, the counselors and undergraduates to a high extent utilize e-counseling in career information dissemination. Based on findings, discussions and some recommendations were made.

  4. Improving information extraction using a probability-based approach

    DEFF Research Database (Denmark)

    Kim, S.; Ahmed, Saeema; Wallace, K.

    2007-01-01

    Information plays a crucial role during the entire life-cycle of a product. It has been shown that engineers frequently consult colleagues to obtain the information they require to solve problems. However, the industrial world is now more transient and key personnel move to other companies...... or retire. It is becoming essential to retrieve vital information from archived product documents, if it is available. There is, therefore, great interest in ways of extracting relevant and sharable information from documents. A keyword-based search is commonly used, but studies have shown...... the recall, while maintaining the high precision, a learning approach that makes identification decisions based on a probability model, rather than simply looking up the presence of the pre-defined variations, looks promising. This paper presents the results of developing such a probability-based entity...

  5. 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.

  6. 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.

  7. Information fluency for undergraduate biology majors: applications of inquiry-based learning in a developmental biology course.

    Science.gov (United States)

    Gehring, Kathleen M; Eastman, Deborah A

    2008-01-01

    Many initiatives for the improvement of undergraduate science education call for inquiry-based learning that emphasizes investigative projects and reading of the primary literature. These approaches give students an understanding of science as a process and help them integrate content presented in courses. At the same time, general initiatives to promote information fluency are being promoted on many college and university campuses. Information fluency refers to discipline-specific processing of information, and it involves integration of gathered information with specific ideas to form logical conclusions. We have implemented the use of inquiry-based learning to enhance and study discipline-specific information fluency skills in an upper-level undergraduate Developmental Biology course. In this study, an information literacy tutorial and a set of linked assignments using primary literature analysis were integrated with two inquiry-based laboratory research projects. Quantitative analysis of student responses suggests that the abilities of students to identify and apply valid sources of information were enhanced. Qualitative assessment revealed a set of patterns by which students gather and apply information. Self-assessment responses indicated that students recognized the impact of the assignments on their abilities to gather and apply information and that they were more confident about these abilities for future biology courses and beyond.

  8. 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

  9. 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

  10. 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.

  11. Recognition techniques for extracting information from semistructured documents

    Science.gov (United States)

    Della Ventura, Anna; Gagliardi, Isabella; Zonta, Bruna

    2000-12-01

    Archives of optical documents are more and more massively employed, the demand driven also by the new norms sanctioning the legal value of digital documents, provided they are stored on supports that are physically unalterable. On the supply side there is now a vast and technologically advanced market, where optical memories have solved the problem of the duration and permanence of data at costs comparable to those for magnetic memories. The remaining bottleneck in these systems is the indexing. The indexing of documents with a variable structure, while still not completely automated, can be machine supported to a large degree with evident advantages both in the organization of the work, and in extracting information, providing data that is much more detailed and potentially significant for the user. We present here a system for the automatic registration of correspondence to and from a public office. The system is based on a general methodology for the extraction, indexing, archiving, and retrieval of significant information from semi-structured documents. This information, in our prototype application, is distributed among the database fields of sender, addressee, subject, date, and body of the document.

  12. 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.

  13. 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

  14. 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…

  15. Exploring the Research Mindset and Information-Seeking Behaviors of Undergraduate Music Students

    Science.gov (United States)

    Clark, Joe C.; Johnstone, Jennifer

    2018-01-01

    This article examines the mindset and process of undergraduate music majors conducting research in their discipline. While working with students in a writing-intensive music history class, the authors conducted several surveys, focus groups, and task-based assessments. Results indicated that most were overconfident in their research abilities,…

  16. 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

  17. Undergraduate Students’ Research and Information Skills Continue to Change in their Second Year

    Directory of Open Access Journals (Sweden)

    Kimberly Miller

    2017-03-01

    Full Text Available Review of: Hulseberg, A., & Twait, M. (2016. Sophomores speaking: An exploratory study of student research practices. College & Undergraduate Libraries, 23(2, 130-150. http://dx.doi.org/10.1080/10691316.2014.981907 Objective – To understand sophomore undergraduate students’ research practices. Design – Mixed methods online survey and participant interviews. Setting – A small liberal arts college in the Midwestern United States of America. Subjects – The sample consisted of 660 second-year students; 139 students responded to the survey (21% response rate. In-depth interviews were conducted with 13 of the 139 survey respondents. Methods – A 13-item survey was emailed to sophomore students during October 2012. To analyze the results, the authors and a library student intern developed a coding scheme to apply to open-ended survey questions. Survey respondents could also volunteer for in-depth interviews. A total of 50 survey respondents volunteered, and 14 were invited for in-depth interviews between December 2012 and January 2013. The interview protocol included open-ended questions about students’ research experiences. Students were also asked to identify and discuss one recent research project. Interviews were audio and video recorded; data from one interview was lost due to technology failure, resulting in data analysis of 13 interviews. Interview transcripts were coded by an anthropology doctoral student, the study authors, and a library student assistant. Main Results – The survey found that students completed fewer research projects and used fewer library resources as sophomores than they did as first-year students. For example, only 4.9% (n=7 of students reported completing zero research assignments in their first year, compared with 34.5% (n=48 in their second year. When asked if there were library resources or skills they wanted to know about sooner in their academic career, students’ top reply was “Nothing” (34.5%, n

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

    Science.gov (United States)

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

    2009-01-01

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

  19. INFORMATION EXTRACTION IN TOMB PIT USING HYPERSPECTRAL DATA

    Directory of Open Access Journals (Sweden)

    X. Yang

    2018-04-01

    Full Text Available Hyperspectral data has characteristics of multiple bands and continuous, large amount of data, redundancy, and non-destructive. These characteristics make it possible to use hyperspectral data to study cultural relics. In this paper, the hyperspectral imaging technology is adopted to recognize the bottom images of an ancient tomb located in Shanxi province. There are many black remains on the bottom surface of the tomb, which are suspected to be some meaningful texts or paintings. Firstly, the hyperspectral data is preprocessing to get the reflectance of the region of interesting. For the convenient of compute and storage, the original reflectance value is multiplied by 10000. Secondly, this article uses three methods to extract the symbols at the bottom of the ancient tomb. Finally we tried to use morphology to connect the symbols and gave fifteen reference images. The results show that the extraction of information based on hyperspectral data can obtain a better visual experience, which is beneficial to the study of ancient tombs by researchers, and provides some references for archaeological research findings.

  20. Information Extraction in Tomb Pit Using Hyperspectral Data

    Science.gov (United States)

    Yang, X.; Hou, M.; Lyu, S.; Ma, S.; Gao, Z.; Bai, S.; Gu, M.; Liu, Y.

    2018-04-01

    Hyperspectral data has characteristics of multiple bands and continuous, large amount of data, redundancy, and non-destructive. These characteristics make it possible to use hyperspectral data to study cultural relics. In this paper, the hyperspectral imaging technology is adopted to recognize the bottom images of an ancient tomb located in Shanxi province. There are many black remains on the bottom surface of the tomb, which are suspected to be some meaningful texts or paintings. Firstly, the hyperspectral data is preprocessing to get the reflectance of the region of interesting. For the convenient of compute and storage, the original reflectance value is multiplied by 10000. Secondly, this article uses three methods to extract the symbols at the bottom of the ancient tomb. Finally we tried to use morphology to connect the symbols and gave fifteen reference images. The results show that the extraction of information based on hyperspectral data can obtain a better visual experience, which is beneficial to the study of ancient tombs by researchers, and provides some references for archaeological research findings.

  1. 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.

  2. 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.

  3. Extracting and Using Photon Polarization Information in Radiative B Decays

    Energy Technology Data Exchange (ETDEWEB)

    Grossman, Yuval

    2000-05-09

    The authors discuss the uses of conversion electron pairs for extracting photon polarization information in weak radiative B decays. Both cases of leptons produced through a virtual and real photon are considered. Measurements of the angular correlation between the (K-pi) and (e{sup +}e{sup {minus}}) decay planes in B --> K*(--> K-pi)gamma (*)(--> e{sup +}e{sup {minus}}) decays can be used to determine the helicity amplitudes in the radiative B --> K*gamma decays. A large right-handed helicity amplitude in B-bar decays is a signal of new physics. The time-dependent CP asymmetry in the B{sup 0} decay angular correlation is shown to measure sin 2-beta and cos 2-beta with little hadronic uncertainty.

  4. 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)

  5. 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...... analysis is primarily to identify paraphrases, thereby achieving a search functionality beyond mere keyword search with synsets. We further envisage use of the generative ontology as a phrase-based rather than word-based browser into text corpora....

  6. 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.

  7. 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 (PStudents continued to access nursing, medical, professional development, and study-related information away from the workplace. Undergraduate nurses limit their access to non-work or non-patient centered information while undertaking WIL. Work-related mobile 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.

  8. 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.…

  9. 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.

  10. 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.

  11. 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

  12. 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…

  13. 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)

  14. Causal Relationship Model of the Information and Communication Technology Skill Affect the Technology Acceptance Process in the 21ST Century for Undergraduate Students

    Directory of Open Access Journals (Sweden)

    Thanyatorn Amornkitpinyo

    2015-02-01

    Full Text Available The objective of this study is to design a framework for a causal relationship model of the Information and Communication Technology skills that affect the Technology Acceptance Process (TAP for undergraduate students in the 21ST Century. This research uses correlational analysis. A consideration of the research methodology is divided into two sections. The first section involves a synthesis concept framework for process acceptance of the causal relationship model of the Information and Communication Technology skills that affect the Technology Acceptance Process for undergraduate students in the 21ST Century. The second section proposes the design concept framework of the model. The research findings are as follows: 1 The exogenous latent variables included in the causal relationship model of the Information and Communication Technology skills that affect the Technology Acceptance Process for undergraduate students in the 21ST Century are basic ICT skills and self-efficacy. 2 The mediating latent variables of the causal relationship model of the Information and Communication Technology skills that affect the Technology Acceptance Process for undergraduate students in the 21ST Century are from the TAM Model, these includes three components: 1 perceived usefulness, 2 perceived ease of use and 3 attitudes. 3 The outcome latent variable of the causal relationship model of the Information and Communication Technology skills that affect the Technology Acceptance Process for undergraduate students in the 21ST Century is behavioural intention.

  15. 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

  16. Testing the reliability of information extracted from ancient zircon

    Science.gov (United States)

    Kielman, Ross; Whitehouse, Martin; Nemchin, Alexander

    2015-04-01

    Studies combining zircon U-Pb chronology, trace element distribution as well as O and Hf isotope systematics are a powerful way to gain understanding of the processes shaping Earth's evolution, especially in detrital populations where constraints from the original host are missing. Such studies of the Hadean detrital zircon population abundant in sedimentary rocks in Western Australia have involved analysis of an unusually large number of individual grains, but also highlighted potential problems with the approach, only apparent when multiple analyses are obtained from individual grains. A common feature of the Hadean as well as many early Archaean zircon populations is their apparent inhomogeneity, which reduces confidence in conclusions based on studies combining chemistry and isotopic characteristics of zircon. In order to test the reliability of information extracted from early Earth zircon, we report results from one of the first in-depth multi-method study of zircon from a relatively simple early Archean magmatic rock, used as an analogue to ancient detrital zircon. The approach involves making multiple SIMS analyses in individual grains in order to be comparable to the most advanced studies of detrital zircon populations. The investigated sample is a relatively undeformed, non-migmatitic ca. 3.8 Ga tonalite collected a few kms south of the Isua Greenstone Belt, southwest Greenland. Extracted zircon grains can be combined into three different groups based on the behavior of their U-Pb systems: (i) grains that show internally consistent and concordant ages and define an average age of 3805±15 Ma, taken to be the age of the rock, (ii) grains that are distributed close to the concordia line, but with significant variability between multiple analyses, suggesting an ancient Pb loss and (iii) grains that have multiple analyses distributed along a discordia pointing towards a zero intercept, indicating geologically recent Pb-loss. This overall behavior has

  17. Incorporation of Cross-Disciplinary Teaching and a Wiki Research Project to Engage Undergraduate Students' to Develop Information Literacy, Critical Thinking, and Communication Skills

    Science.gov (United States)

    Crist, Courtney A.; Duncan, Susan E.; Bianchi, Laurie M.

    2017-01-01

    A Wiki research project was created in the Functional Foods for Health (FST/HNFE 2544) as an instructional tool and assignment for improving undergraduate students' proficiency in evaluating appropriate information sources for rapidly evolving science and research. The project design targeted improving students' information literacy skills…

  18. 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…

  19. TRANSFORMING NIGERIA UNDERGRADUATE TRAINING ...

    African Journals Online (AJOL)

    communication skills for the development of information competencies amongst Nigerian undergraduates .... Determine the information requirement forthe research question. ... primary school postgraduate work, its methodology has been extensively ... skills through workbooks, computer tutorials classroom instructions, etc.

  20. Extraction of CT dose information from DICOM metadata: automated Matlab-based approach.

    Science.gov (United States)

    Dave, Jaydev K; Gingold, Eric L

    2013-01-01

    The purpose of this study was to extract exposure parameters and dose-relevant indexes of CT examinations from information embedded in DICOM metadata. DICOM dose report files were identified and retrieved from a PACS. An automated software program was used to extract from these files information from the structured elements in the DICOM metadata relevant to exposure. Extracting information from DICOM metadata eliminated potential errors inherent in techniques based on optical character recognition, yielding 100% accuracy.

  1. 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...

  2. 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…

  3. 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…

  4. 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...

  5. Semantics-based information extraction for detecting economic events

    NARCIS (Netherlands)

    A.C. Hogenboom (Alexander); F. Frasincar (Flavius); K. Schouten (Kim); O. van der Meer

    2013-01-01

    textabstractAs today's financial markets are sensitive to breaking news on economic events, accurate and timely automatic identification of events in news items is crucial. Unstructured news items originating from many heterogeneous sources have to be mined in order to extract knowledge useful for

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

    Science.gov (United States)

    Finch, Dezon Kile

    2012-01-01

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

  7. An Effective Approach to Biomedical Information Extraction with Limited Training Data

    Science.gov (United States)

    Jonnalagadda, Siddhartha

    2011-01-01

    In the current millennium, extensive use of computers and the internet caused an exponential increase in information. Few research areas are as important as information extraction, which primarily involves extracting concepts and the relations between them from free text. Limitations in the size of training data, lack of lexicons and lack of…

  8. 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…

  9. 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…

  10. A rapid extraction of landslide disaster information research based on GF-1 image

    Science.gov (United States)

    Wang, Sai; Xu, Suning; Peng, Ling; Wang, Zhiyi; Wang, Na

    2015-08-01

    In recent years, the landslide disasters occurred frequently because of the seismic activity. It brings great harm to people's life. It has caused high attention of the state and the extensive concern of society. In the field of geological disaster, landslide information extraction based on remote sensing has been controversial, but high resolution remote sensing image can improve the accuracy of information extraction effectively with its rich texture and geometry information. Therefore, it is feasible to extract the information of earthquake- triggered landslides with serious surface damage and large scale. Taking the Wenchuan county as the study area, this paper uses multi-scale segmentation method to extract the landslide image object through domestic GF-1 images and DEM data, which uses the estimation of scale parameter tool to determine the optimal segmentation scale; After analyzing the characteristics of landslide high-resolution image comprehensively and selecting spectrum feature, texture feature, geometric features and landform characteristics of the image, we can establish the extracting rules to extract landslide disaster information. The extraction results show that there are 20 landslide whose total area is 521279.31 .Compared with visual interpretation results, the extraction accuracy is 72.22%. This study indicates its efficient and feasible to extract earthquake landslide disaster information based on high resolution remote sensing and it provides important technical support for post-disaster emergency investigation and disaster assessment.

  11. 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…

  12. 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",…

  13. 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.

  14. 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

  15. 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.

  16. 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

  17. Need for Cognition and Electronic Health Literacy and Subsequent Information Seeking Behaviors Among University Undergraduate Students

    Directory of Open Access Journals (Sweden)

    Rebecca K. Britt

    2013-10-01

    Full Text Available eHealth literacy (eHEALS has yet to be examined with regard to need for cognition (NFC, as well as whether NFC moderates the relationship between eHealth literacy and seeking out online health information. Past research that has examined NFC as an interaction between whether interactivity on health web sites affected comprehension and attitudes, but no research to date has examined whether cognitive need interacts with eHEALS and subsequent information seeking behaviors. The present study tests eHEALS and its connection to need for cognition (NFC in the role of online health information seeking behaviors. Results showed that high eHEALS individuals were more likely to seek out online health information and were more likely to have higher NFC scores. NFC did not emerge as a moderator on the relationship between eHealth literacy and online health information seeking behaviors. Future directions are discussed, in particular, examining eHEALS as a construct of efficacy and further need to examine eHEALS with need for cognition in health communication research.

  18. 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

  19. 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.

  20. 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…

  1. Science Seeker: A New Model for Teaching Information Literacy to Entry-Level Biology Undergraduates

    Science.gov (United States)

    Petzold, Jacquelyn; Winterman, Brian; Montooth, Kristi

    2010-01-01

    In order to integrate library instruction seamlessly into an introductory biology course, two librarians collaborated with a biology faculty member to create a three-part series of instruction sessions known as the Science Seeker. The Science Seeker taught students about the structure of scientific information by tracing the path that discoveries…

  2. 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

  3. Information extraction from FN plots of tungsten microemitters

    Energy Technology Data Exchange (ETDEWEB)

    Mussa, Khalil O. [Department of Physics, Mu' tah University, Al-Karak (Jordan); Mousa, Marwan S., E-mail: mmousa@mutah.edu.jo [Department of Physics, Mu' tah University, Al-Karak (Jordan); Fischer, Andreas, E-mail: andreas.fischer@physik.tu-chemnitz.de [Institut für Physik, Technische Universität Chemnitz, Chemnitz (Germany)

    2013-09-15

    Tungsten based microemitter tips have been prepared both clean and coated with dielectric materials. For clean tungsten tips, apex radii have been varied ranging from 25 to 500 nm. These tips were manufactured by electrochemical etching a 0.1 mm diameter high purity (99.95%) tungsten wire at the meniscus of two molar NaOH solution. Composite micro-emitters considered here are consisting of a tungsten core coated with different dielectric materials—such as magnesium oxide (MgO), sodium hydroxide (NaOH), tetracyanoethylene (TCNE), and zinc oxide (ZnO). It is worthwhile noting here, that the rather unconventional NaOH coating has shown several interesting properties. Various properties of these emitters were measured including current–voltage (IV) characteristics and the physical shape of the tips. A conventional field emission microscope (FEM) with a tip (cathode)–screen (anode) separation standardized at 10 mm was used to electrically characterize the electron emitters. The system was evacuated down to a base pressure of ∼10{sup −8}mbar when baked at up to ∼180°C overnight. This allowed measurements of typical field electron emission (FE) characteristics, namely the IV characteristics and the emission images on a conductive phosphorus screen (the anode). Mechanical characterization has been performed through a FEI scanning electron microscope (SEM). Within this work, the mentioned experimental results are connected to the theory for analyzing Fowler–Nordheim (FN) plots. We compared and evaluated the data extracted from clean tungsten tips of different radii and determined deviations between the results of different extraction methods applied. In particular, we derived the apex radii of several clean and coated tungsten tips by both SEM imaging and analyzing FN plots. The aim of this analysis is to support the ongoing discussion on recently developed improvements of the theory for analyzing FN plots related to metal field electron emitters, which in

  4. Information extraction from FN plots of tungsten microemitters

    International Nuclear Information System (INIS)

    Mussa, Khalil O.; Mousa, Marwan S.; Fischer, Andreas

    2013-01-01

    Tungsten based microemitter tips have been prepared both clean and coated with dielectric materials. For clean tungsten tips, apex radii have been varied ranging from 25 to 500 nm. These tips were manufactured by electrochemical etching a 0.1 mm diameter high purity (99.95%) tungsten wire at the meniscus of two molar NaOH solution. Composite micro-emitters considered here are consisting of a tungsten core coated with different dielectric materials—such as magnesium oxide (MgO), sodium hydroxide (NaOH), tetracyanoethylene (TCNE), and zinc oxide (ZnO). It is worthwhile noting here, that the rather unconventional NaOH coating has shown several interesting properties. Various properties of these emitters were measured including current–voltage (IV) characteristics and the physical shape of the tips. A conventional field emission microscope (FEM) with a tip (cathode)–screen (anode) separation standardized at 10 mm was used to electrically characterize the electron emitters. The system was evacuated down to a base pressure of ∼10 −8 mbar when baked at up to ∼180°C overnight. This allowed measurements of typical field electron emission (FE) characteristics, namely the IV characteristics and the emission images on a conductive phosphorus screen (the anode). Mechanical characterization has been performed through a FEI scanning electron microscope (SEM). Within this work, the mentioned experimental results are connected to the theory for analyzing Fowler–Nordheim (FN) plots. We compared and evaluated the data extracted from clean tungsten tips of different radii and determined deviations between the results of different extraction methods applied. In particular, we derived the apex radii of several clean and coated tungsten tips by both SEM imaging and analyzing FN plots. The aim of this analysis is to support the ongoing discussion on recently developed improvements of the theory for analyzing FN plots related to metal field electron emitters, which in

  5. 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.

  6. Optimal Information Extraction of Laser Scanning Dataset by Scale-Adaptive Reduction

    Science.gov (United States)

    Zang, Y.; Yang, B.

    2018-04-01

    3D laser technology is widely used to collocate the surface information of object. For various applications, we need to extract a good perceptual quality point cloud from the scanned points. To solve the problem, most of existing methods extract important points based on a fixed scale. However, geometric features of 3D object come from various geometric scales. We propose a multi-scale construction method based on radial basis function. For each scale, important points are extracted from the point cloud based on their importance. We apply a perception metric Just-Noticeable-Difference to measure degradation of each geometric scale. Finally, scale-adaptive optimal information extraction is realized. Experiments are undertaken to evaluate the effective of the proposed method, suggesting a reliable solution for optimal information extraction of object.

  7. OPTIMAL INFORMATION EXTRACTION OF LASER SCANNING DATASET BY SCALE-ADAPTIVE REDUCTION

    Directory of Open Access Journals (Sweden)

    Y. Zang

    2018-04-01

    Full Text Available 3D laser technology is widely used to collocate the surface information of object. For various applications, we need to extract a good perceptual quality point cloud from the scanned points. To solve the problem, most of existing methods extract important points based on a fixed scale. However, geometric features of 3D object come from various geometric scales. We propose a multi-scale construction method based on radial basis function. For each scale, important points are extracted from the point cloud based on their importance. We apply a perception metric Just-Noticeable-Difference to measure degradation of each geometric scale. Finally, scale-adaptive optimal information extraction is realized. Experiments are undertaken to evaluate the effective of the proposed method, suggesting a reliable solution for optimal information extraction of object.

  8. INFORMATION TECHNOLOGY USERS´ ABILITIES: A CASE STUDY ON COMPUTING LEARNING IN AN UNDERGRADUATE COURSE

    Directory of Open Access Journals (Sweden)

    Valéria Maria Martins Judice

    2006-11-01

    Full Text Available Literature review shows minimum ability levels of Information Technology (IT resources in use are currently essential to administrators and to professionals overall. As effective as Internet may be, new milestones for economic competition and company survival are being created. It is thus required that individual IT abilities are continuously reformulated to be adequately and creatively used, and new information sources and tools actively generated, rather than passively adopted. In evaluating the evolution of the IT abilities’ acquisition in Brazil, students of Business & Administration from a university are investigated. By means of questionnaire and in-depth interview application, data were collected on students’ perceptions of acquired abilities and importance of IT competencies. Together, computing science teachers and a course coordinator views were assessed. Empirical results obtained revealed that students' IT abilities were concentrated on basic computing science functions. The integration of IT learning in classroom practices was deemed poor as compared to importance attributed. Students signalized self-sufficiency or knowledge attitudes which, as tested, have not been actually proved. Low learning results were observed on IT conceptual knowledge, indicating students’ impatience with learning without interaction, as in long-text readings or teacher-centered classes. Strong student resistance to electronic commerce was evidenced and associated to perceived risks on IT evolution.

  9. Information extraction from FN plots of tungsten microemitters.

    Science.gov (United States)

    Mussa, Khalil O; Mousa, Marwan S; Fischer, Andreas

    2013-09-01

    Tungsten based microemitter tips have been prepared both clean and coated with dielectric materials. For clean tungsten tips, apex radii have been varied ranging from 25 to 500 nm. These tips were manufactured by electrochemical etching a 0.1 mm diameter high purity (99.95%) tungsten wire at the meniscus of two molar NaOH solution. Composite micro-emitters considered here are consisting of a tungsten core coated with different dielectric materials-such as magnesium oxide (MgO), sodium hydroxide (NaOH), tetracyanoethylene (TCNE), and zinc oxide (ZnO). It is worthwhile noting here, that the rather unconventional NaOH coating has shown several interesting properties. Various properties of these emitters were measured including current-voltage (IV) characteristics and the physical shape of the tips. A conventional field emission microscope (FEM) with a tip (cathode)-screen (anode) separation standardized at 10 mm was used to electrically characterize the electron emitters. The system was evacuated down to a base pressure of ∼10(-8) mbar when baked at up to ∼180 °C overnight. This allowed measurements of typical field electron emission (FE) characteristics, namely the IV characteristics and the emission images on a conductive phosphorus screen (the anode). Mechanical characterization has been performed through a FEI scanning electron microscope (SEM). Within this work, the mentioned experimental results are connected to the theory for analyzing Fowler-Nordheim (FN) plots. We compared and evaluated the data extracted from clean tungsten tips of different radii and determined deviations between the results of different extraction methods applied. In particular, we derived the apex radii of several clean and coated tungsten tips by both SEM imaging and analyzing FN plots. The aim of this analysis is to support the ongoing discussion on recently developed improvements of the theory for analyzing FN plots related to metal field electron emitters, which in particular

  10. Study on methods and techniques of aeroradiometric weak information extraction for sandstone-hosted uranium deposits based on GIS

    International Nuclear Information System (INIS)

    Han Shaoyang; Ke Dan; Hou Huiqun

    2005-01-01

    The weak information extraction is one of the important research contents in the current sandstone-type uranium prospecting in China. This paper introduces the connotation of aeroradiometric weak information extraction, and discusses the formation theories of aeroradiometric weak information extraction, and discusses the formation theories of aeroradiometric weak information and establishes some effective mathematic models for weak information extraction. Models for weak information extraction are realized based on GIS software platform. Application tests of weak information extraction are realized based on GIS software platform. Application tests of weak information extraction are completed in known uranium mineralized areas. Research results prove that the prospective areas of sandstone-type uranium deposits can be rapidly delineated by extracting aeroradiometric weak information. (authors)

  11. 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…

  12. 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.

  13. A case-study of a socio-scientific issues curricular and pedagogical intervention in an undergraduate microbiology course: A focus on informal reasoning

    Science.gov (United States)

    Schalk, Kelly A.

    The purpose of this investigation was to measure specific ways a student interest SSI-based curricular and pedagogical affects undergraduates' ability informally reason. The delimited components of informal reasoning measured were undergraduates' Nature of Science conceptualizations and ability to evaluate scientific information. The socio-scientific issues (SSI) theoretical framework used in this case-study has been advocated as a means for improving students' functional scientific literacy. This investigation focused on the laboratory component of an undergraduate microbiology course in spring 2008. There were 26 participants. The instruments used in this study included: (1) Individual and Group research projects, (2) journals, (3) laboratory write-ups, (4) a laboratory quiz, (5) anonymous evaluations, and (6) a pre/post article exercise. All instruments yielded qualitative data, which were coded using the qualitative software NVivo7. Data analyses were subjected to instrumental triangulation, inter-rater reliability, and member-checking. It was determined that undergraduates' epistemological knowledge of scientific discovery, processes, and justification matured in response to the intervention. Specifically, students realized: (1) differences between facts, theories, and opinions; (2) testable questions are not definitively proven; (3) there is no stepwise scientific process; and (4) lack of data weakens a claim. It was determined that this knowledge influenced participants' beliefs and ability to informally reason. For instance, students exhibited more critical evaluations of scientific information. It was also found that undergraduates' prior opinions had changed over the semester. Further, the student interest aspect of this framework engaged learners by offering participants several opportunities to influentially examine microbiology issues that affected their life. The investigation provided empirically based insights into the ways undergraduates' interest

  14. Extracting Social Networks and Contact Information From Email and the Web

    National Research Council Canada - National Science Library

    Culotta, Aron; Bekkerman, Ron; McCallum, Andrew

    2005-01-01

    ...-suited for such information extraction tasks. By recursively calling itself on new people discovered on the Web, the system builds a social network with multiple degrees of separation from the user...

  15. 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.

  16. 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...

  17. Information Extraction of High Resolution Remote Sensing Images Based on the Calculation of Optimal Segmentation Parameters

    Science.gov (United States)

    Zhu, Hongchun; Cai, Lijie; Liu, Haiying; Huang, Wei

    2016-01-01

    Multi-scale image segmentation and the selection of optimal segmentation parameters are the key processes in the object-oriented information extraction of high-resolution remote sensing images. The accuracy of remote sensing special subject information depends on this extraction. On the basis of WorldView-2 high-resolution data, the optimal segmentation parameters methodof object-oriented image segmentation and high-resolution image information extraction, the following processes were conducted in this study. Firstly, the best combination of the bands and weights was determined for the information extraction of high-resolution remote sensing image. An improved weighted mean-variance method was proposed andused to calculatethe optimal segmentation scale. Thereafter, the best shape factor parameter and compact factor parameters were computed with the use of the control variables and the combination of the heterogeneity and homogeneity indexes. Different types of image segmentation parameters were obtained according to the surface features. The high-resolution remote sensing images were multi-scale segmented with the optimal segmentation parameters. Ahierarchical network structure was established by setting the information extraction rules to achieve object-oriented information extraction. This study presents an effective and practical method that can explain expert input judgment by reproducible quantitative measurements. Furthermore the results of this procedure may be incorporated into a classification scheme. PMID:27362762

  18. Overview of ImageCLEF 2017: information extraction from images

    OpenAIRE

    Ionescu, Bogdan; Müller, Henning; Villegas, Mauricio; Arenas, Helbert; Boato, Giulia; Dang Nguyen, Duc Tien; Dicente Cid, Yashin; Eickhoff, Carsten; Seco de Herrera, Alba G.; Gurrin, Cathal; Islam, Bayzidul; Kovalev, Vassili; Liauchuk, Vitali; Mothe, Josiane; Piras, Luca

    2017-01-01

    This paper presents an overview of the ImageCLEF 2017 evaluation campaign, an event that was organized as part of the CLEF (Conference and Labs of the Evaluation Forum) labs 2017. ImageCLEF is an ongoing initiative (started in 2003) that promotes the evaluation of technologies for annotation, indexing and retrieval for providing information access to collections of images in various usage scenarios and domains. In 2017, the 15th edition of ImageCLEF, three main tasks were proposed and one pil...

  19. 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.

  20. Preferred Source and Perceived Need of More Information about Dental Implants by the Undergraduate Dental Students of Nepal: All Nepal Survey

    OpenAIRE

    Sharma, Arati; Shrestha, Bidhan; Chaudhari, Bijay Kumar; Suwal, Pramita; Singh, Raj Kumar; Niraula, Surya Raj; Parajuli, Prakash Kumar

    2018-01-01

    Objectives. This study was conducted to know the preferred source and perceived need of more information about dental implants by the undergraduate students of Nepal and their association with academic levels and gender. Materials and Methods. It was conducted in all the dental colleges of Nepal from June 2016 to June 2017 after taking ethical clearance and approval from the research committee of BPKIHS. It included all those who were present at the time of survey. Data collection was done th...

  1. 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.

  2. [Extraction of management information from the national quality assurance program].

    Science.gov (United States)

    Stausberg, Jürgen; Bartels, Claus; Bobrowski, Christoph

    2007-07-15

    Starting with clinically motivated projects, the national quality assurance program has established a legislative obligatory framework. Annual feedback of results is an important means of quality control. The annual reports cover quality-related information with high granularity. A synopsis for corporate management is missing, however. Therefore, the results of the University Clinics in Greifswald, Germany, have been analyzed and aggregated to support hospital management. Strengths were identified by the ranking of results within the state for each quality indicator, weaknesses by the comparison with national reference values. The assessment was aggregated per clinical discipline and per category (indication, process, and outcome). A composition of quality indicators was claimed multiple times. A coherent concept is still missing. The method presented establishes a plausible summary of strengths and weaknesses of a hospital from the point of view of the national quality assurance program. Nevertheless, further adaptation of the program is needed to better assist corporate management.

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

    Directory of Open Access Journals (Sweden)

    Traikovskaya Natalya Petrovna

    2015-12-01

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

  4. Post-processing of Deep Web Information Extraction Based on Domain Ontology

    Directory of Open Access Journals (Sweden)

    PENG, T.

    2013-11-01

    Full Text Available Many methods are utilized to extract and process query results in deep Web, which rely on the different structures of Web pages and various designing modes of databases. However, some semantic meanings and relations are ignored. So, in this paper, we present an approach for post-processing deep Web query results based on domain ontology which can utilize the semantic meanings and relations. A block identification model (BIM based on node similarity is defined to extract data blocks that are relevant to specific domain after reducing noisy nodes. Feature vector of domain books is obtained by result set extraction model (RSEM based on vector space model (VSM. RSEM, in combination with BIM, builds the domain ontology on books which can not only remove the limit of Web page structures when extracting data information, but also make use of semantic meanings of domain ontology. After extracting basic information of Web pages, a ranking algorithm is adopted to offer an ordered list of data records to users. Experimental results show that BIM and RSEM extract data blocks and build domain ontology accurately. In addition, relevant data records and basic information are extracted and ranked. The performances precision and recall show that our proposed method is feasible and efficient.

  5. a Statistical Texture Feature for Building Collapse Information Extraction of SAR Image

    Science.gov (United States)

    Li, L.; Yang, H.; Chen, Q.; Liu, X.

    2018-04-01

    Synthetic Aperture Radar (SAR) has become one of the most important ways to extract post-disaster collapsed building information, due to its extreme versatility and almost all-weather, day-and-night working capability, etc. In view of the fact that the inherent statistical distribution of speckle in SAR images is not used to extract collapsed building information, this paper proposed a novel texture feature of statistical models of SAR images to extract the collapsed buildings. In the proposed feature, the texture parameter of G0 distribution from SAR images is used to reflect the uniformity of the target to extract the collapsed building. This feature not only considers the statistical distribution of SAR images, providing more accurate description of the object texture, but also is applied to extract collapsed building information of single-, dual- or full-polarization SAR data. The RADARSAT-2 data of Yushu earthquake which acquired on April 21, 2010 is used to present and analyze the performance of the proposed method. In addition, the applicability of this feature to SAR data with different polarizations is also analysed, which provides decision support for the data selection of collapsed building information extraction.

  6. A method for automating the extraction of specialized information from the web

    NARCIS (Netherlands)

    Lin, L.; Liotta, A.; Hippisley, A.; Hao, Y.; Liu, J.; Wang, Y.; Cheung, Y-M.; Yin, H.; Jiao, L.; Ma, j.; Jiao, Y-C.

    2005-01-01

    The World Wide Web can be viewed as a gigantic distributed database including millions of interconnected hosts some of which publish information via web servers or peer-to-peer systems. We present here a novel method for the extraction of semantically rich information from the web in a fully

  7. 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

  8. 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.

  9. Research of building information extraction and evaluation based on high-resolution remote-sensing imagery

    Science.gov (United States)

    Cao, Qiong; Gu, Lingjia; Ren, Ruizhi; Wang, Lang

    2016-09-01

    Building extraction currently is important in the application of high-resolution remote sensing imagery. At present, quite a few algorithms are available for detecting building information, however, most of them still have some obvious disadvantages, such as the ignorance of spectral information, the contradiction between extraction rate and extraction accuracy. The purpose of this research is to develop an effective method to detect building information for Chinese GF-1 data. Firstly, the image preprocessing technique is used to normalize the image and image enhancement is used to highlight the useful information in the image. Secondly, multi-spectral information is analyzed. Subsequently, an improved morphological building index (IMBI) based on remote sensing imagery is proposed to get the candidate building objects. Furthermore, in order to refine building objects and further remove false objects, the post-processing (e.g., the shape features, the vegetation index and the water index) is employed. To validate the effectiveness of the proposed algorithm, the omission errors (OE), commission errors (CE), the overall accuracy (OA) and Kappa are used at final. The proposed method can not only effectively use spectral information and other basic features, but also avoid extracting excessive interference details from high-resolution remote sensing images. Compared to the original MBI algorithm, the proposed method reduces the OE by 33.14% .At the same time, the Kappa increase by 16.09%. In experiments, IMBI achieved satisfactory results and outperformed other algorithms in terms of both accuracies and visual inspection

  10. 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.

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

    DEFF Research Database (Denmark)

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

    2017-01-01

    Most state-of-the-art information extraction approaches rely on token-level labels to find the areas of interest in text. Unfortunately, these labels are time-consuming and costly to create, and consequently, not available for many real-life IE tasks. To make matters worse, token-level labels...... 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...

  12. Extraction Method for Earthquake-Collapsed Building Information Based on High-Resolution Remote Sensing

    International Nuclear Information System (INIS)

    Chen, Peng; Wu, Jian; Liu, Yaolin; Wang, Jing

    2014-01-01

    At present, the extraction of earthquake disaster information from remote sensing data relies on visual interpretation. However, this technique cannot effectively and quickly obtain precise and efficient information for earthquake relief and emergency management. Collapsed buildings in the town of Zipingpu after the Wenchuan earthquake were used as a case study to validate two kinds of rapid extraction methods for earthquake-collapsed building information based on pixel-oriented and object-oriented theories. The pixel-oriented method is based on multi-layer regional segments that embody the core layers and segments of the object-oriented method. The key idea is to mask layer by layer all image information, including that on the collapsed buildings. Compared with traditional techniques, the pixel-oriented method is innovative because it allows considerably rapid computer processing. As for the object-oriented method, a multi-scale segment algorithm was applied to build a three-layer hierarchy. By analyzing the spectrum, texture, shape, location, and context of individual object classes in different layers, the fuzzy determined rule system was established for the extraction of earthquake-collapsed building information. We compared the two sets of results using three variables: precision assessment, visual effect, and principle. Both methods can extract earthquake-collapsed building information quickly and accurately. The object-oriented method successfully overcomes the pepper salt noise caused by the spectral diversity of high-resolution remote sensing data and solves the problem of same object, different spectrums and that of same spectrum, different objects. With an overall accuracy of 90.38%, the method achieves more scientific and accurate results compared with the pixel-oriented method (76.84%). The object-oriented image analysis method can be extensively applied in the extraction of earthquake disaster information based on high-resolution remote sensing

  13. 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

  14. Preferred Source and Perceived Need of More Information about Dental Implants by the Undergraduate Dental Students of Nepal: All Nepal Survey

    Directory of Open Access Journals (Sweden)

    Arati Sharma

    2018-01-01

    Full Text Available Objectives. This study was conducted to know the preferred source and perceived need of more information about dental implants by the undergraduate students of Nepal and their association with academic levels and gender. Materials and Methods. It was conducted in all the dental colleges of Nepal from June 2016 to June 2017 after taking ethical clearance and approval from the research committee of BPKIHS. It included all those who were present at the time of survey. Data collection was done through a cross-sectional questionnaire survey during the academic schedule of the colleges, supervised and monitored by the investigators themselves. The collected data were coded and entered in Microsoft excel 2013, and statistical analysis was done by SPSS 20 version. Result. A majority of the respondents agreed that they were not provided with sufficient information about implant treatment procedures during their BDS program (65.3%, would like more to be provided in the curriculum (95.1%, and would like to get additional reliable information from dental consultants and specialists (40.7% and training on it from fellowship programs conducted by universities (39.2%. Significant association was seen between the responses and academic levels. Conclusion. Undergraduate dental students of Nepal want more information about dental implants through various means.

  15. Preferred Source and Perceived Need of More Information about Dental Implants by the Undergraduate Dental Students of Nepal: All Nepal Survey.

    Science.gov (United States)

    Sharma, Arati; Shrestha, Bidhan; Chaudhari, Bijay Kumar; Suwal, Pramita; Singh, Raj Kumar; Niraula, Surya Raj; Parajuli, Prakash Kumar

    2018-01-01

    This study was conducted to know the preferred source and perceived need of more information about dental implants by the undergraduate students of Nepal and their association with academic levels and gender. It was conducted in all the dental colleges of Nepal from June 2016 to June 2017 after taking ethical clearance and approval from the research committee of BPKIHS. It included all those who were present at the time of survey. Data collection was done through a cross-sectional questionnaire survey during the academic schedule of the colleges, supervised and monitored by the investigators themselves. The collected data were coded and entered in Microsoft excel 2013, and statistical analysis was done by SPSS 20 version. A majority of the respondents agreed that they were not provided with sufficient information about implant treatment procedures during their BDS program (65.3%), would like more to be provided in the curriculum (95.1%), and would like to get additional reliable information from dental consultants and specialists (40.7%) and training on it from fellowship programs conducted by universities (39.2%). Significant association was seen between the responses and academic levels. Undergraduate dental students of Nepal want more information about dental implants through various means.

  16. Terrain Extraction by Integrating Terrestrial Laser Scanner Data and Spectral Information

    Science.gov (United States)

    Lau, C. L.; Halim, S.; Zulkepli, M.; Azwan, A. M.; Tang, W. L.; Chong, A. K.

    2015-10-01

    The extraction of true terrain points from unstructured laser point cloud data is an important process in order to produce an accurate digital terrain model (DTM). However, most of these spatial filtering methods just utilizing the geometrical data to discriminate the terrain points from nonterrain points. The point cloud filtering method also can be improved by using the spectral information available with some scanners. Therefore, the objective of this study is to investigate the effectiveness of using the three-channel (red, green and blue) of the colour image captured from built-in digital camera which is available in some Terrestrial Laser Scanner (TLS) for terrain extraction. In this study, the data acquisition was conducted at a mini replica landscape in Universiti Teknologi Malaysia (UTM), Skudai campus using Leica ScanStation C10. The spectral information of the coloured point clouds from selected sample classes are extracted for spectral analysis. The coloured point clouds which within the corresponding preset spectral threshold are identified as that specific feature point from the dataset. This process of terrain extraction is done through using developed Matlab coding. Result demonstrates that a higher spectral resolution passive image is required in order to improve the output. This is because low quality of the colour images captured by the sensor contributes to the low separability in spectral reflectance. In conclusion, this study shows that, spectral information is capable to be used as a parameter for terrain extraction.

  17. Information retrieval and terminology extraction in online resources for patients with diabetes.

    Science.gov (United States)

    Seljan, Sanja; Baretić, Maja; Kucis, Vlasta

    2014-06-01

    Terminology use, as a mean for information retrieval or document indexing, plays an important role in health literacy. Specific types of users, i.e. patients with diabetes need access to various online resources (on foreign and/or native language) searching for information on self-education of basic diabetic knowledge, on self-care activities regarding importance of dietetic food, medications, physical exercises and on self-management of insulin pumps. Automatic extraction of corpus-based terminology from online texts, manuals or professional papers, can help in building terminology lists or list of "browsing phrases" useful in information retrieval or in document indexing. Specific terminology lists represent an intermediate step between free text search and controlled vocabulary, between user's demands and existing online resources in native and foreign language. The research aiming to detect the role of terminology in online resources, is conducted on English and Croatian manuals and Croatian online texts, and divided into three interrelated parts: i) comparison of professional and popular terminology use ii) evaluation of automatic statistically-based terminology extraction on English and Croatian texts iii) comparison and evaluation of extracted terminology performed on English manual using statistical and hybrid approaches. Extracted terminology candidates are evaluated by comparison with three types of reference lists: list created by professional medical person, list of highly professional vocabulary contained in MeSH and list created by non-medical persons, made as intersection of 15 lists. Results report on use of popular and professional terminology in online diabetes resources, on evaluation of automatically extracted terminology candidates in English and Croatian texts and on comparison of statistical and hybrid extraction methods in English text. Evaluation of automatic and semi-automatic terminology extraction methods is performed by recall

  18. OpenCV-Based Nanomanipulation Information Extraction and the Probe Operation in SEM

    Directory of Open Access Journals (Sweden)

    Dongjie Li

    2015-02-01

    Full Text Available Aimed at the established telenanomanipulation system, the method of extracting location information and the strategies of probe operation were studied in this paper. First, the machine learning algorithm of OpenCV was used to extract location information from SEM images. Thus nanowires and probe in SEM images can be automatically tracked and the region of interest (ROI can be marked quickly. Then the location of nanowire and probe can be extracted from the ROI. To study the probe operation strategy, the Van der Waals force between probe and a nanowire was computed; thus relevant operating parameters can be obtained. With these operating parameters, the nanowire in 3D virtual environment can be preoperated and an optimal path of the probe can be obtained. The actual probe runs automatically under the telenanomanipulation system's control. Finally, experiments were carried out to verify the above methods, and results show the designed methods have achieved the expected effect.

  19. Methods to extract information on the atomic and molecular states from scientific abstracts

    International Nuclear Information System (INIS)

    Sasaki, Akira; Ueshima, Yutaka; Yamagiwa, Mitsuru; Murata, Masaki; Kanamaru, Toshiyuki; Shirado, Tamotsu; Isahara, Hitoshi

    2005-01-01

    We propose a new application of information technology to recognize and extract expressions of atomic and molecular states from electrical forms of scientific abstracts. Present results will help scientists to understand atomic states as well as the physics discussed in the articles. Combining with the internet search engines, it will make one possible to collect not only atomic and molecular data but broader scientific information over a wide range of research fields. (author)

  20. System and method for extracting physiological information from remotely detected electromagnetic radiation

    NARCIS (Netherlands)

    2016-01-01

    The present invention relates to a device and a method for extracting physiological information indicative of at least one health symptom from remotely detected electromagnetic radiation. The device comprises an interface (20) for receiving a data stream comprising remotely detected image data

  1. System and method for extracting physiological information from remotely detected electromagnetic radiation

    NARCIS (Netherlands)

    2015-01-01

    The present invention relates to a device and a method for extracting physiological information indicative of at least one health symptom from remotely detected electromagnetic radiation. The device comprises an interface (20) for receiving a data stream comprising remotely detected image data

  2. 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.

  3. 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.

  4. EXTRACT

    DEFF Research Database (Denmark)

    Pafilis, Evangelos; Buttigieg, Pier Luigi; Ferrell, Barbra

    2016-01-01

    The microbial and molecular ecology research communities have made substantial progress on developing standards for annotating samples with environment metadata. However, sample manual annotation is a highly labor intensive process and requires familiarity with the terminologies used. We have the...... and text-mining-assisted curation revealed that EXTRACT speeds up annotation by 15-25% and helps curators to detect terms that would otherwise have been missed.Database URL: https://extract.hcmr.gr/......., organism, tissue and disease terms. The evaluators in the BioCreative V Interactive Annotation Task found the system to be intuitive, useful, well documented and sufficiently accurate to be helpful in spotting relevant text passages and extracting organism and environment terms. Comparison of fully manual...

  5. Semi-automatic building extraction in informal settlements from high-resolution satellite imagery

    Science.gov (United States)

    Mayunga, Selassie David

    The extraction of man-made features from digital remotely sensed images is considered as an important step underpinning management of human settlements in any country. Man-made features and buildings in particular are required for varieties of applications such as urban planning, creation of geographical information systems (GIS) databases and Urban City models. The traditional man-made feature extraction methods are very expensive in terms of equipment, labour intensive, need well-trained personnel and cannot cope with changing environments, particularly in dense urban settlement areas. This research presents an approach for extracting buildings in dense informal settlement areas using high-resolution satellite imagery. The proposed system uses a novel strategy of extracting building by measuring a single point at the approximate centre of the building. The fine measurement of the building outlines is then effected using a modified snake model. The original snake model on which this framework is based, incorporates an external constraint energy term which is tailored to preserving the convergence properties of the snake model; its use to unstructured objects will negatively affect their actual shapes. The external constrained energy term was removed from the original snake model formulation, thereby, giving ability to cope with high variability of building shapes in informal settlement areas. The proposed building extraction system was tested on two areas, which have different situations. The first area was Tungi in Dar Es Salaam, Tanzania where three sites were tested. This area is characterized by informal settlements, which are illegally formulated within the city boundaries. The second area was Oromocto in New Brunswick, Canada where two sites were tested. Oromocto area is mostly flat and the buildings are constructed using similar materials. Qualitative and quantitative measures were employed to evaluate the accuracy of the results as well as the performance

  6. RESEARCH ON REMOTE SENSING GEOLOGICAL INFORMATION EXTRACTION BASED ON OBJECT ORIENTED CLASSIFICATION

    Directory of Open Access Journals (Sweden)

    H. Gao

    2018-04-01

    Full Text Available The northern Tibet belongs to the Sub cold arid climate zone in the plateau. It is rarely visited by people. The geological working conditions are very poor. However, the stratum exposures are good and human interference is very small. Therefore, the research on the automatic classification and extraction of remote sensing geological information has typical significance and good application prospect. Based on the object-oriented classification in Northern Tibet, using the Worldview2 high-resolution remote sensing data, combined with the tectonic information and image enhancement, the lithological spectral features, shape features, spatial locations and topological relations of various geological information are excavated. By setting the threshold, based on the hierarchical classification, eight kinds of geological information were classified and extracted. Compared with the existing geological maps, the accuracy analysis shows that the overall accuracy reached 87.8561 %, indicating that the classification-oriented method is effective and feasible for this study area and provides a new idea for the automatic extraction of remote sensing geological information.

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

    Science.gov (United States)

    Yang, Wei; Ai, Tinghua; Lu, Wei

    2018-04-19

    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.

  8. 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.

  9. YAdumper: extracting and translating large information volumes from relational databases to structured flat files.

    Science.gov (United States)

    Fernández, José M; Valencia, Alfonso

    2004-10-12

    Downloading the information stored in relational databases into XML and other flat formats is a common task in bioinformatics. This periodical dumping of information requires considerable CPU time, disk and memory resources. YAdumper has been developed as a purpose-specific tool to deal with the integral structured information download of relational databases. YAdumper is a Java application that organizes database extraction following an XML template based on an external Document Type Declaration. Compared with other non-native alternatives, YAdumper substantially reduces memory requirements and considerably improves writing performance.

  10. 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

    of all proteins/spots in the gels. In the present study it is demonstrated how information can be extracted by multivariate data analysis. The strategy is based on partial least squares regression followed by variable selection to find proteins that individually or in combination with other proteins vary......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...... or disappear depending on the experimental conditions. Such biomarkers are found by comparing the relative volumes of individual spots in the individual gels. Multivariate statistical analysis and modelling of 2-DE data for comparison and classification is an alternative approach utilising the combination...

  11. 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

  12. Addressing Risk Assessment for Patient Safety in Hospitals through Information Extraction in Medical Reports

    Science.gov (United States)

    Proux, Denys; Segond, Frédérique; Gerbier, Solweig; Metzger, Marie Hélène

    Hospital Acquired Infections (HAI) is a real burden for doctors and risk surveillance experts. The impact on patients' health and related healthcare cost is very significant and a major concern even for rich countries. Furthermore required data to evaluate the threat is generally not available to experts and that prevents from fast reaction. However, recent advances in Computational Intelligence Techniques such as Information Extraction, Risk Patterns Detection in documents and Decision Support Systems allow now to address this problem.

  13. From Specific Information Extraction to Inferences: A Hierarchical Framework of Graph Comprehension

    Science.gov (United States)

    2004-09-01

    The skill to interpret the information displayed in graphs is so important to have, the National Council of Teachers of Mathematics has created...guidelines to ensure that students learn these skills ( NCTM : Standards for Mathematics , 2003). These guidelines are based primarily on the extraction of...graphical perception. Human Computer Interaction, 8, 353-388. NCTM : Standards for Mathematics . (2003, 2003). Peebles, D., & Cheng, P. C.-H. (2002

  14. 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.

  15. Extraction of land cover change information from ENVISAT-ASAR data in Chengdu Plain

    Science.gov (United States)

    Xu, Wenbo; Fan, Jinlong; Huang, Jianxi; Tian, Yichen; Zhang, Yong

    2006-10-01

    Land cover data are essential to most global change research objectives, including the assessment of current environmental conditions and the simulation of future environmental scenarios that ultimately lead to public policy development. Chinese Academy of Sciences generated a nationwide land cover database in order to carry out the quantification and spatial characterization of land use/cover changes (LUCC) in 1990s. In order to improve the reliability of the database, we will update the database anytime. But it is difficult to obtain remote sensing data to extract land cover change information in large-scale. It is hard to acquire optical remote sensing data in Chengdu plain, so the objective of this research was to evaluate multitemporal ENVISAT advanced synthetic aperture radar (ASAR) data for extracting land cover change information. Based on the fieldwork and the nationwide 1:100000 land cover database, the paper assesses several land cover changes in Chengdu plain, for example: crop to buildings, forest to buildings, and forest to bare land. The results show that ENVISAT ASAR data have great potential for the applications of extracting land cover change information.

  16. 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

  17. 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.

  18. SAR matrices: automated extraction of information-rich SAR tables from large compound data sets.

    Science.gov (United States)

    Wassermann, Anne Mai; Haebel, Peter; Weskamp, Nils; Bajorath, Jürgen

    2012-07-23

    We introduce the SAR matrix data structure that is designed to elucidate SAR patterns produced by groups of structurally related active compounds, which are extracted from large data sets. SAR matrices are systematically generated and sorted on the basis of SAR information content. Matrix generation is computationally efficient and enables processing of large compound sets. The matrix format is reminiscent of SAR tables, and SAR patterns revealed by different categories of matrices are easily interpretable. The structural organization underlying matrix formation is more flexible than standard R-group decomposition schemes. Hence, the resulting matrices capture SAR information in a comprehensive manner.

  19. 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.

  20. 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...

  1. 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

    information. In particular, for feature extraction, we develop a new set of kernel descriptors−Context Kernel Descriptors (CKD), which enhance the original KDES by embedding the spatial context into the descriptors. Context cues contained in the context kernel enforce some degree of spatial consistency, thus...... improving the robustness of CKD. For feature learning and reduction, we propose a novel codebook learning method, based on a Rényi quadratic entropy based mutual information measure called Cauchy-Schwarz Quadratic Mutual Information (CSQMI), to learn a compact and discriminative CKD codebook. Projecting...... 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...

  2. Method of extracting significant trouble information of nuclear power plants using probabilistic analysis technique

    International Nuclear Information System (INIS)

    Shimada, Yoshio; Miyazaki, Takamasa

    2005-01-01

    In order to analyze and evaluate large amounts of trouble information of overseas nuclear power plants, it is necessary to select information that is significant in terms of both safety and reliability. In this research, a method of efficiently and simply classifying degrees of importance of components in terms of safety and reliability while paying attention to root-cause components appearing in the information was developed. Regarding safety, the reactor core damage frequency (CDF), which is used in the probabilistic analysis of a reactor, was used. Regarding reliability, the automatic plant trip probability (APTP), which is used in the probabilistic analysis of automatic reactor trips, was used. These two aspects were reflected in the development of criteria for classifying degrees of importance of components. By applying these criteria, a simple method of extracting significant trouble information of overseas nuclear power plants was developed. (author)

  3. Automated concept-level information extraction to reduce the need for custom software and rules development.

    Science.gov (United States)

    D'Avolio, Leonard W; Nguyen, Thien M; Goryachev, Sergey; Fiore, Louis D

    2011-01-01

    Despite at least 40 years of promising empirical performance, very few clinical natural language processing (NLP) or information extraction systems currently contribute to medical science or care. The authors address this gap by reducing the need for custom software and rules development with a graphical user interface-driven, highly generalizable approach to concept-level retrieval. A 'learn by example' approach combines features derived from open-source NLP pipelines with open-source machine learning classifiers to automatically and iteratively evaluate top-performing configurations. The Fourth i2b2/VA Shared Task Challenge's concept extraction task provided the data sets and metrics used to evaluate performance. Top F-measure scores for each of the tasks were medical problems (0.83), treatments (0.82), and tests (0.83). Recall lagged precision in all experiments. Precision was near or above 0.90 in all tasks. Discussion With no customization for the tasks and less than 5 min of end-user time to configure and launch each experiment, the average F-measure was 0.83, one point behind the mean F-measure of the 22 entrants in the competition. Strong precision scores indicate the potential of applying the approach for more specific clinical information extraction tasks. There was not one best configuration, supporting an iterative approach to model creation. Acceptable levels of performance can be achieved using fully automated and generalizable approaches to concept-level information extraction. The described implementation and related documentation is available for download.

  4. 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.

  5. 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.

  6. A cascade of classifiers for extracting medication information from discharge summaries

    Directory of Open Access Journals (Sweden)

    Halgrim Scott

    2011-07-01

    Full Text Available Abstract Background Extracting medication information from clinical records has many potential applications, and recently published research, systems, and competitions reflect an interest therein. Much of the early extraction work involved rules and lexicons, but more recently machine learning has been applied to the task. Methods We present a hybrid system consisting of two parts. The first part, field detection, uses a cascade of statistical classifiers to identify medication-related named entities. The second part uses simple heuristics to link those entities into medication events. Results The system achieved performance that is comparable to other approaches to the same task. This performance is further improved by adding features that reference external medication name lists. Conclusions This study demonstrates that our hybrid approach outperforms purely statistical or rule-based systems. The study also shows that a cascade of classifiers works better than a single classifier in extracting medication information. The system is available as is upon request from the first author.

  7. Three-dimensional information extraction from GaoFen-1 satellite images for landslide monitoring

    Science.gov (United States)

    Wang, Shixin; Yang, Baolin; Zhou, Yi; Wang, Futao; Zhang, Rui; Zhao, Qing

    2018-05-01

    To more efficiently use GaoFen-1 (GF-1) satellite images for landslide emergency monitoring, a Digital Surface Model (DSM) can be generated from GF-1 across-track stereo image pairs to build a terrain dataset. This study proposes a landslide 3D information extraction method based on the terrain changes of slope objects. The slope objects are mergences of segmented image objects which have similar aspects; and the terrain changes are calculated from the post-disaster Digital Elevation Model (DEM) from GF-1 and the pre-disaster DEM from GDEM V2. A high mountain landslide that occurred in Wenchuan County, Sichuan Province is used to conduct a 3D information extraction test. The extracted total area of the landslide is 22.58 ha; the displaced earth volume is 652,100 m3; and the average sliding direction is 263.83°. The accuracies of them are 0.89, 0.87 and 0.95, respectively. Thus, the proposed method expands the application of GF-1 satellite images to the field of landslide emergency monitoring.

  8. 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.

  9. Transforming Spatial Reasoning Skills in the Upper-Level Undergraduate Geoscience Classroom Through Curricular Materials Informed by Cognitive Science Research

    Science.gov (United States)

    Ormand, C. J.; Shipley, T. F.; Dutrow, B. L.; Goodwin, L. B.; Hickson, T. A.; Tikoff, B.; Atit, K.; Gagnier, K. M.; Resnick, I.

    2014-12-01

    Spatial visualization is an essential skill in the STEM disciplines, including the geosciences. Undergraduate students, including geoscience majors in upper-level courses, bring a wide range of spatial skill levels to the classroom. Students with weak spatial skills may be unable to understand fundamental concepts and to solve geological problems with a spatial component. However, spatial thinking skills are malleable. As a group of geoscience faculty members and cognitive psychologists, we have developed a set of curricular materials for Mineralogy, Sedimentology & Stratigraphy, and Structural Geology courses. These materials are designed to improve students' spatial skills, and in particular to improve students' abilities to reason about spatially complex 3D geological concepts and problems. Teaching spatial thinking in the context of discipline-based exercises has the potential to transform undergraduate STEM education by removing one significant barrier to success in the STEM disciplines. The curricular materials we have developed are based on several promising teaching strategies that have emerged from cognitive science research on spatial thinking. These strategies include predictive sketching, making visual comparisons, gesturing, and the use of analogy. We have conducted a three-year study of the efficacy of these materials in strengthening the spatial skills of students in upper-level geoscience courses at three universities. Our methodology relies on a pre- and post-test study design, with several tests of spatial thinking skills administered at the beginning and end of each semester. In 2011-2012, we used a "business as usual" approach to gather baseline data, measuring how much students' spatial thinking skills improved in response to the existing curricula. In the two subsequent years we have incorporated our new curricular materials, which can be found on the project website: http://serc.carleton.edu/spatialworkbook/activities.html Structural Geology

  10. 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....

  11. 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)

  12. 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.

  13. Methods from Information Extraction from LIDAR Intensity Data and Multispectral LIDAR Technology

    Science.gov (United States)

    Scaioni, M.; Höfle, B.; Baungarten Kersting, A. P.; Barazzetti, L.; Previtali, M.; Wujanz, D.

    2018-04-01

    LiDAR is a consolidated technology for topographic mapping and 3D reconstruction, which is implemented in several platforms On the other hand, the exploitation of the geometric information has been coupled by the use of laser intensity, which may provide additional data for multiple purposes. This option has been emphasized by the availability of sensors working on different wavelength, thus able to provide additional information for classification of surfaces and objects. Several applications ofmonochromatic and multi-spectral LiDAR data have been already developed in different fields: geosciences, agriculture, forestry, building and cultural heritage. The use of intensity data to extract measures of point cloud quality has been also developed. The paper would like to give an overview on the state-of-the-art of these techniques, and to present the modern technologies for the acquisition of multispectral LiDAR data. In addition, the ISPRS WG III/5 on `Information Extraction from LiDAR Intensity Data' has collected and made available a few open data sets to support scholars to do research on this field. This service is presented and data sets delivered so far as are described.

  14. The effect of informed consent on stress levels associated with extraction of impacted mandibular third molars.

    Science.gov (United States)

    Casap, Nardy; Alterman, Michael; Sharon, Guy; Samuni, Yuval

    2008-05-01

    To evaluate the effect of informed consent on stress levels associated with removal of impacted mandibular third molars. A total of 60 patients scheduled for extraction of impacted mandibular third molars participated in this study. The patients were unaware of the study's objectives. Data from 20 patients established the baseline levels of electrodermal activity (EDA). The remaining 40 patients were randomly assigned into 2 equal groups receiving either a detailed document of informed consent, disclosing the possible risks involved with the surgery, or a simplified version. Pulse, blood pressure, and EDA were monitored before, during, and after completion of the consent document. Changes in EDA, but not in blood pressure, were measured on completion of either version of the consent document. A greater increase in EDA was associated with the detailed version of the consent document (P = .004). A similar concomitant increase (although nonsignificant) in pulse values was monitored on completion of both versions. Completion of overdisclosed document of informed consent is associated with changes in physiological parameters. The results suggest that overdetailed listing and disclosure before extraction of impacted mandibular third molars can increase patient stress.

  15. METHODS FROM INFORMATION EXTRACTION FROM LIDAR INTENSITY DATA AND MULTISPECTRAL LIDAR TECHNOLOGY

    Directory of Open Access Journals (Sweden)

    M. Scaioni

    2018-04-01

    Full Text Available LiDAR is a consolidated technology for topographic mapping and 3D reconstruction, which is implemented in several platforms On the other hand, the exploitation of the geometric information has been coupled by the use of laser intensity, which may provide additional data for multiple purposes. This option has been emphasized by the availability of sensors working on different wavelength, thus able to provide additional information for classification of surfaces and objects. Several applications ofmonochromatic and multi-spectral LiDAR data have been already developed in different fields: geosciences, agriculture, forestry, building and cultural heritage. The use of intensity data to extract measures of point cloud quality has been also developed. The paper would like to give an overview on the state-of-the-art of these techniques, and to present the modern technologies for the acquisition of multispectral LiDAR data. In addition, the ISPRS WG III/5 on ‘Information Extraction from LiDAR Intensity Data’ has collected and made available a few open data sets to support scholars to do research on this field. This service is presented and data sets delivered so far as are described.

  16. About increasing informativity of diagnostic system of asynchronous electric motor by extracting additional information from values of consumed current parameter

    Science.gov (United States)

    Zhukovskiy, Y.; Korolev, N.; Koteleva, N.

    2018-05-01

    This article is devoted to expanding the possibilities of assessing the technical state of the current consumption of asynchronous electric drives, as well as increasing the information capacity of diagnostic methods, in conditions of limited access to equipment and incompleteness of information. The method of spectral analysis of the electric drive current can be supplemented by an analysis of the components of the current of the Park's vector. The research of the hodograph evolution in the moment of appearance and development of defects was carried out using the example of current asymmetry in the phases of an induction motor. The result of the study is the new diagnostic parameters of the asynchronous electric drive. During the research, it was proved that the proposed diagnostic parameters allow determining the type and level of the defect. At the same time, there is no need to stop the equipment and taky it out of service for repair. Modern digital control and monitoring systems can use the proposed parameters based on the stator current of an electrical machine to improve the accuracy and reliability of obtaining diagnostic patterns and predicting their changes in order to improve the equipment maintenance systems. This approach can also be used in systems and objects where there are significant parasitic vibrations and unsteady loads. The extraction of useful information can be carried out in electric drive systems in the structure of which there is a power electric converter.

  17. Multi-Paradigm and Multi-Lingual Information Extraction as Support for Medical Web Labelling Authorities

    Directory of Open Access Journals (Sweden)

    Martin Labsky

    2010-10-01

    Full Text Available Until recently, quality labelling of medical web content has been a pre-dominantly manual activity. However, the advances in automated text processing opened the way to computerised support of this activity. The core enabling technology is information extraction (IE. However, the heterogeneity of websites offering medical content imposes particular requirements on the IE techniques to be applied. In the paper we discuss these requirements and describe a multi-paradigm approach to IE addressing them. Experiments on multi-lingual data are reported. The research has been carried out within the EU MedIEQ project.

  18. Scholarly Information Extraction Is Going to Make a Quantum Leap with PubMed Central (PMC).

    Science.gov (United States)

    Matthies, Franz; Hahn, Udo

    2017-01-01

    With the increasing availability of complete full texts (journal articles), rather than their surrogates (titles, abstracts), as resources for text analytics, entirely new opportunities arise for information extraction and text mining from scholarly publications. Yet, we gathered evidence that a range of problems are encountered for full-text processing when biomedical text analytics simply reuse existing NLP pipelines which were developed on the basis of abstracts (rather than full texts). We conducted experiments with four different relation extraction engines all of which were top performers in previous BioNLP Event Extraction Challenges. We found that abstract-trained engines loose up to 6.6% F-score points when run on full-text data. Hence, the reuse of existing abstract-based NLP software in a full-text scenario is considered harmful because of heavy performance losses. Given the current lack of annotated full-text resources to train on, our study quantifies the price paid for this short cut.

  19. 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.

  20. Developing an Approach to Prioritize River Restoration using Data Extracted from Flood Risk Information System Databases.

    Science.gov (United States)

    Vimal, S.; Tarboton, D. G.; Band, L. E.; Duncan, J. M.; Lovette, J. P.; Corzo, G.; Miles, B.

    2015-12-01

    Prioritizing river restoration requires information on river geometry. In many states in the US detailed river geometry has been collected for floodplain mapping and is available in Flood Risk Information Systems (FRIS). In particular, North Carolina has, for its 100 Counties, developed a database of numerous HEC-RAS models which are available through its Flood Risk Information System (FRIS). These models that include over 260 variables were developed and updated by numerous contractors. They contain detailed surveyed or LiDAR derived cross-sections and modeled flood extents for different extreme event return periods. In this work, over 4700 HEC-RAS models' data was integrated and upscaled to utilize detailed cross-section information and 100-year modelled flood extent information to enable river restoration prioritization for the entire state of North Carolina. We developed procedures to extract geomorphic properties such as entrenchment ratio, incision ratio, etc. from these models. Entrenchment ratio quantifies the vertical containment of rivers and thereby their vulnerability to flooding and incision ratio quantifies the depth per unit width. A map of entrenchment ratio for the whole state was derived by linking these model results to a geodatabase. A ranking of highly entrenched counties enabling prioritization for flood allowance and mitigation was obtained. The results were shared through HydroShare and web maps developed for their visualization using Google Maps Engine API.

  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. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

    Background Although reproducibility in reading MRI images amongst radiologists and clinicians has been studied previously, no studies have examined the reproducibility of inexperienced clinicians in extracting pathoanatomic information from magnetic resonance imaging (MRI) narrative reports and t...

  7. [Extraction of buildings three-dimensional information from high-resolution satellite imagery based on Barista software].

    Science.gov (United States)

    Zhang, Pei-feng; Hu, Yuan-man; He, Hong-shi

    2010-05-01

    The demand for accurate and up-to-date spatial information of urban buildings is becoming more and more important for urban planning, environmental protection, and other vocations. Today's commercial high-resolution satellite imagery offers the potential to extract the three-dimensional information of urban buildings. This paper extracted the three-dimensional information of urban buildings from QuickBird imagery, and validated the precision of the extraction based on Barista software. It was shown that the extraction of three-dimensional information of the buildings from high-resolution satellite imagery based on Barista software had the advantages of low professional level demand, powerful universality, simple operation, and high precision. One pixel level of point positioning and height determination accuracy could be achieved if the digital elevation model (DEM) and sensor orientation model had higher precision and the off-Nadir View Angle was relatively perfect.

  8. Overview of image processing tools to extract physical information from JET videos

    Science.gov (United States)

    Craciunescu, T.; Murari, A.; Gelfusa, M.; Tiseanu, I.; Zoita, V.; EFDA Contributors, JET

    2014-11-01

    In magnetic confinement nuclear fusion devices such as JET, the last few years have witnessed a significant increase in the use of digital imagery, not only for the surveying and control of experiments, but also for the physical interpretation of results. More than 25 cameras are routinely used for imaging on JET in the infrared (IR) and visible spectral regions. These cameras can produce up to tens of Gbytes per shot and their information content can be very different, depending on the experimental conditions. However, the relevant information about the underlying physical processes is generally of much reduced dimensionality compared to the recorded data. The extraction of this information, which allows full exploitation of these diagnostics, is a challenging task. The image analysis consists, in most cases, of inverse problems which are typically ill-posed mathematically. The typology of objects to be analysed is very wide, and usually the images are affected by noise, low levels of contrast, low grey-level in-depth resolution, reshaping of moving objects, etc. Moreover, the plasma events have time constants of ms or tens of ms, which imposes tough conditions for real-time applications. On JET, in the last few years new tools and methods have been developed for physical information retrieval. The methodology of optical flow has allowed, under certain assumptions, the derivation of information about the dynamics of video objects associated with different physical phenomena, such as instabilities, pellets and filaments. The approach has been extended in order to approximate the optical flow within the MPEG compressed domain, allowing the manipulation of the large JET video databases and, in specific cases, even real-time data processing. The fast visible camera may provide new information that is potentially useful for disruption prediction. A set of methods, based on the extraction of structural information from the visual scene, have been developed for the

  9. Overview of image processing tools to extract physical information from JET videos

    International Nuclear Information System (INIS)

    Craciunescu, T; Tiseanu, I; Zoita, V; Murari, A; Gelfusa, M

    2014-01-01

    In magnetic confinement nuclear fusion devices such as JET, the last few years have witnessed a significant increase in the use of digital imagery, not only for the surveying and control of experiments, but also for the physical interpretation of results. More than 25 cameras are routinely used for imaging on JET in the infrared (IR) and visible spectral regions. These cameras can produce up to tens of Gbytes per shot and their information content can be very different, depending on the experimental conditions. However, the relevant information about the underlying physical processes is generally of much reduced dimensionality compared to the recorded data. The extraction of this information, which allows full exploitation of these diagnostics, is a challenging task. The image analysis consists, in most cases, of inverse problems which are typically ill-posed mathematically. The typology of objects to be analysed is very wide, and usually the images are affected by noise, low levels of contrast, low grey-level in-depth resolution, reshaping of moving objects, etc. Moreover, the plasma events have time constants of ms or tens of ms, which imposes tough conditions for real-time applications. On JET, in the last few years new tools and methods have been developed for physical information retrieval. The methodology of optical flow has allowed, under certain assumptions, the derivation of information about the dynamics of video objects associated with different physical phenomena, such as instabilities, pellets and filaments. The approach has been extended in order to approximate the optical flow within the MPEG compressed domain, allowing the manipulation of the large JET video databases and, in specific cases, even real-time data processing. The fast visible camera may provide new information that is potentially useful for disruption prediction. A set of methods, based on the extraction of structural information from the visual scene, have been developed for the

  10. Extraction and Analysis of Information Related to Research & Development Declared Under an Additional Protocol

    International Nuclear Information System (INIS)

    Idinger, J.; Labella, R.; Rialhe, A.; Teller, N.

    2015-01-01

    The additional protocol (AP) provides important tools to strengthen and improve the effectiveness and efficiency of the safeguards system. Safeguards are designed to verify that States comply with their international commitments not to use nuclear material or to engage in nuclear-related activities for the purpose of developing nuclear weapons or other nuclear explosive devices. Under an AP based on INFCIRC/540, a State must provide to the IAEA additional information about, and inspector access to, all parts of its nuclear fuel cycle. In addition, the State has to supply information about its nuclear fuel cycle-related research and development (R&D) activities. The majority of States declare their R&D activities under the AP Articles 2.a.(i), 2.a.(x), and 2.b.(i) as part of initial declarations and their annual updates under the AP. In order to verify consistency and completeness of information provided under the AP by States, the Agency has started to analyze declared R&D information by identifying interrelationships between States in different R&D areas relevant to safeguards. The paper outlines the quality of R&D information provided by States to the Agency, describes how the extraction and analysis of relevant declarations are currently carried out at the Agency and specifies what kinds of difficulties arise during evaluation in respect to cross-linking international projects and finding gaps in reporting. In addition, the paper tries to elaborate how the reporting quality of AP information with reference to R&D activities and the assessment process of R&D information could be improved. (author)

  11. Undergraduate Convexity

    DEFF Research Database (Denmark)

    Lauritzen, Niels

    -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......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...

  12. 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.

  13. 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.

  14. Extract the Relational Information of Static Features and Motion Features for Human Activities Recognition in Videos

    Directory of Open Access Journals (Sweden)

    Li Yao

    2016-01-01

    Full Text Available Both static features and motion features have shown promising performance in human activities recognition task. However, the information included in these features is insufficient for complex human activities. In this paper, we propose extracting relational information of static features and motion features for human activities recognition. The videos are represented by a classical Bag-of-Word (BoW model which is useful in many works. To get a compact and discriminative codebook with small dimension, we employ the divisive algorithm based on KL-divergence to reconstruct the codebook. After that, to further capture strong relational information, we construct a bipartite graph to model the relationship between words of different feature set. Then we use a k-way partition to create a new codebook in which similar words are getting together. With this new codebook, videos can be represented by a new BoW vector with strong relational information. Moreover, we propose a method to compute new clusters from the divisive algorithm’s projective function. We test our work on the several datasets and obtain very promising results.

  15. 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

  16. DESIGNING UNDERGRADUATE CURRICULUM FOR MANAGEMENT INFORMATION SYSTEMS (MIS EDUCATION: A COMPARISON OF THE MIS PROGRAMS OF TURKISH UNIVERSITIES WITH THOSE OF GLOBAL UNIVERSITIES

    Directory of Open Access Journals (Sweden)

    Eyüp AKÇETİN

    2017-05-01

    Full Text Available Competition in the global environment takes place among multinational corporations, which is directly linked to human resources and the quality of training and education they have. The competitive advantage of the businesses is associated with the excellence of human resources, which is measured by the education quality of the employees. Information systems have become an essential requirement for the businesses of today’s digital age. Therefore, with this study, curricula of 90 universities’ Management Information Systems (MIS Undergraduate Programs, 57 of which are foreign and 33 are Turkish, were compared. The study methods include data mining approaches namely random clustering and making a text mining analysis. As the number and importance of the MIS programs are rapidly increasing, it is aimed with these approaches to contribute developing a world-class curriculum model to improve the quality of education of them. On that ground, the main purpose of this study is creating a framework that defines a world-class MIS curriculum model by presenting the current situation in Turkey.

  17. Designing Undergraduate Curriculum for Management Information Systems (MIS Education: A Comparison of the MIS Programs of Turkish Universities with those of Global Universities

    Directory of Open Access Journals (Sweden)

    Eyüp AKÇETİN

    2017-05-01

    Full Text Available Competition in the global environment takes place among multinational corporations, which is directly linked to human resources and the quality of training and education they have. The competitive advantage of the businesses is associated with the excellence of human resources, which is measured by the education quality of the employees. Information systems have become an essential requirement for the businesses of today’s digital age. Therefore, with this study, curricula of 90 universities’ Management Information Systems (MIS Undergraduate Programs, 57 of which are foreign and 33 are Turkish, were compared. The study methods include data mining approaches namely random clustering and making a text mining analysis. As the number and importance of the MIS programs are rapidly increasing, it is aimed with these approaches to contribute developing a world-class curriculum model to improve the quality of education of them. On that ground, the main purpose of this study is creating a framework that defines a world-class MIS curriculum model by presenting the current situation in Turkey.

  18. 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.

  19. 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…

  20. MedEx: a medication information extraction system for clinical narratives

    Science.gov (United States)

    Stenner, Shane P; Doan, Son; Johnson, Kevin B; Waitman, Lemuel R; Denny, Joshua C

    2010-01-01

    Medication information is one of the most important types of clinical data in electronic medical records. It is critical for healthcare safety and quality, as well as for clinical research that uses electronic medical record data. However, medication data are often recorded in clinical notes as free-text. As such, they are not accessible to other computerized applications that rely on coded data. We describe a new natural language processing system (MedEx), which extracts medication information from clinical notes. MedEx was initially developed using discharge summaries. An evaluation using a data set of 50 discharge summaries showed it performed well on identifying not only drug names (F-measure 93.2%), but also signature information, such as strength, route, and frequency, with F-measures of 94.5%, 93.9%, and 96.0% respectively. We then applied MedEx unchanged to outpatient clinic visit notes. It performed similarly with F-measures over 90% on a set of 25 clinic visit notes. PMID:20064797

  1. 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

  2. 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.

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

    Science.gov (United States)

    Abraham, Paul E; Giannone, Richard J; Xiong, Weili; Hettich, Robert L

    2014-06-17

    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. Copyright © 2014 John Wiley & Sons, Inc.

  4. 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.

  5. An innovative method for extracting isotopic information from low-resolution gamma spectra

    International Nuclear Information System (INIS)

    Miko, D.; Estep, R.J.; Rawool-Sullivan, M.W.

    1998-01-01

    A method is described for the extraction of isotopic information from attenuated gamma ray spectra using the gross-count material basis set (GC-MBS) model. This method solves for the isotopic composition of an unknown mixture of isotopes attenuated through an absorber of unknown material. For binary isotopic combinations the problem is nonlinear in only one variable and is easily solved using standard line optimization techniques. Results are presented for NaI spectrum analyses of various binary combinations of enriched uranium, depleted uranium, low burnup Pu, 137 Cs, and 133 Ba attenuated through a suite of absorbers ranging in Z from polyethylene through lead. The GC-MBS method results are compared to those computed using ordinary response function fitting and with a simple net peak area method. The GC-MBS method was found to be significantly more accurate than the other methods over the range of absorbers and isotopic blends studied

  6. 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

  7. Extraction of prospecting information of uranium deposit based on high spatial resolution satellite data. Taking bashibulake region as an example

    International Nuclear Information System (INIS)

    Yang Xu; Liu Dechang; Zhang Jielin

    2008-01-01

    In this study, the signification and content of prospecting information of uranium deposit are expounded. Quickbird high spatial resolution satellite data are used to extract the prospecting information of uranium deposit in Bashibulake area in the north of Tarim Basin. By using the pertinent methods of image processing, the information of ore-bearing bed, ore-control structure and mineralized alteration have been extracted. The results show a high consistency with the field survey. The aim of this study is to explore practicability of high spatial resolution satellite data for prospecting minerals, and to broaden the thinking of prospectation at similar area. (authors)

  8. Defining Quality in Undergraduate Education

    Directory of Open Access Journals (Sweden)

    Alison W. Bowers

    2018-01-01

    Full Text Available Objectives: This research brief explores the literature addressing quality in undergraduate education to identify what previous research has said about quality and to offer future directions for research on quality in undergraduate education. Method: We conducted a scoping review to provide a broad overview of existing research. Using targeted search terms in academic databases, we identified and reviewed relevant academic literature to develop emergent themes and implications for future research. Results: The exploratory review of the literature revealed a range of thoughtful discussions and empirical studies attempting to define quality in undergraduate education. Many publications highlighted the importance of including different stakeholder perspectives and presented some of the varying perceptions of quality among different stakeholders. Conclusions: While a number of researchers have explored and written about how to define quality in undergraduate education, there is not a general consensus regarding a definition of quality in undergraduate education. Past research offers a range of insights, models, and data to inform future research. Implication for Theory and/or Practice: We provide four recommendations for future research to contribute to a high quality undergraduate educational experience. We suggest more comprehensive systematic reviews of the literature as a next step.

  9. 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.

  10. Signal information available for plume source tracking with and without surface waves and learning by undergraduates assisting with the research

    Science.gov (United States)

    Wiley, Megan Beth

    Autonomous vehicles have had limited success in locating point sources of pollutants, chemicals, and other passive scalars. However, animals such as stomatopods, a mantis shrimp, track odor plumes easily for food, mates, and habitat. Laboratory experiments using Planar Laser Induced Fluorescence measured odor concentration downstream of a diffusive source with and without live stomatopods to investigate their source-tracking strategies in unidirectional and "wave-affected" (surface waves with a mean current) flows. Despite the dearth of signal, extreme temporal variation, and meandering plume centerline, the stomatopods were able to locate the source, especially in the wave-affected flow. Differences in the two plumes far from the source (>160 cm) appeared to help the animals in the wave-affected flow position themselves closer to the source (fluid mechanics, and there was little evidence of learning by participation in the RAship. One RA's conceptions of turbulence did change, but a group workshop seemed to support this learning more than the RAship. The documented conceptions could aid in curriculum design, since situating new information within current knowledge seems to deepen learning outcomes. The RAs' conceptions varied widely with some overlap of ideas. The interviews also showed that most RAs did not discuss molecular diffusion as part of the mixing process and some remembered information from course demonstrations, but applied them inappropriately to the interview questions.

  11. 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.

  12. Extracting chemical information from high-resolution Kβ X-ray emission spectroscopy

    Science.gov (United States)

    Limandri, S.; Robledo, J.; Tirao, G.

    2018-06-01

    High-resolution X-ray emission spectroscopy allows studying the chemical environment of a wide variety of materials. Chemical information can be obtained by fitting the X-ray spectra and observing the behavior of some spectral features. Spectral changes can also be quantified by means of statistical parameters calculated by considering the spectrum as a probability distribution. Another possibility is to perform statistical multivariate analysis, such as principal component analysis. In this work the performance of these procedures for extracting chemical information in X-ray emission spectroscopy spectra for mixtures of Mn2+ and Mn4+ oxides are studied. A detail analysis of the parameters obtained, as well as the associated uncertainties is shown. The methodologies are also applied for Mn oxidation state characterization of double perovskite oxides Ba1+xLa1-xMnSbO6 (with 0 ≤ x ≤ 0.7). The results show that statistical parameters and multivariate analysis are the most suitable for the analysis of this kind of spectra.

  13. Information Extraction of Tourist Geological Resources Based on 3d Visualization Remote Sensing Image

    Science.gov (United States)

    Wang, X.

    2018-04-01

    Tourism geological resources are of high value in admiration, scientific research and universal education, which need to be protected and rationally utilized. In the past, most of the remote sensing investigations of tourism geological resources used two-dimensional remote sensing interpretation method, which made it difficult for some geological heritages to be interpreted and led to the omission of some information. This aim of this paper is to assess the value of a method using the three-dimensional visual remote sensing image to extract information of geological heritages. skyline software system is applied to fuse the 0.36 m aerial images and 5m interval DEM to establish the digital earth model. Based on the three-dimensional shape, color tone, shadow, texture and other image features, the distribution of tourism geological resources in Shandong Province and the location of geological heritage sites were obtained, such as geological structure, DaiGu landform, granite landform, Volcanic landform, sandy landform, Waterscapes, etc. The results show that using this method for remote sensing interpretation is highly recognizable, making the interpretation more accurate and comprehensive.

  14. Information Management Processes for Extraction of Student Dropout Indicators in Courses in Distance Mode

    Directory of Open Access Journals (Sweden)

    Renata Maria Abrantes Baracho

    2016-04-01

    Full Text Available This research addresses the use of information management processes in order to extract student dropout indicators in distance mode courses. Distance education in Brazil aims to facilitate access to information. The MEC (Ministry of Education announced, in the second semester of 2013, that the main obstacles faced by institutions offering courses in this mode were students dropping out and the resistance of both educators and students to this mode. The research used a mixed methodology, qualitative and quantitative, to obtain student dropout indicators. The factors found and validated in this research were: the lack of interest from students, insufficient training in the use of the virtual learning environment for students, structural problems in the schools that were chosen to offer the course, students without e-mail, incoherent answers to activities to the course, lack of knowledge on the part of the student when using the computer tool. The scenario considered was a course offered in distance mode called Aluno Integrado (Integrated Student

  15. 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.

  16. 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.

  17. A methodology for the extraction of quantitative information from electron microscopy images at the atomic level

    International Nuclear Information System (INIS)

    Galindo, P L; Pizarro, J; Guerrero, E; Guerrero-Lebrero, M P; Scavello, G; Yáñez, A; Sales, D L; Herrera, M; Molina, S I; Núñez-Moraleda, B M; Maestre, J M

    2014-01-01

    In this paper we describe a methodology developed at the University of Cadiz (Spain) in the past few years for the extraction of quantitative information from electron microscopy images at the atomic level. This work is based on a coordinated and synergic activity of several research groups that have been working together over the last decade in two different and complementary fields: Materials Science and Computer Science. The aim of our joint research has been to develop innovative high-performance computing techniques and simulation methods in order to address computationally challenging problems in the analysis, modelling and simulation of materials at the atomic scale, providing significant advances with respect to existing techniques. The methodology involves several fundamental areas of research including the analysis of high resolution electron microscopy images, materials modelling, image simulation and 3D reconstruction using quantitative information from experimental images. These techniques for the analysis, modelling and simulation allow optimizing the control and functionality of devices developed using materials under study, and have been tested using data obtained from experimental samples

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

    International Nuclear Information System (INIS)

    Higgins, R.; Hogg, P.; Robinson, L.

    2017-01-01

    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. 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 using constructive alignment. Results and Discussion: 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. Conclusion: 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). - Highlights: • Constructive alignment helped to ensure that the learning outcomes were appropriately aligned with level 5 descriptors. • Reflection identified outcomes that required further improvement to focus on higher-order thinking and application skills. • This article also illustrates how this process could be used to develop a level 6 RiT activity.

  19. 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.

  20. 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

  1. 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

  2. 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.

  3. 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

  4. 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)

  5. Quantum measurement information as a key to energy extraction from local vacuums

    International Nuclear Information System (INIS)

    Hotta, Masahiro

    2008-01-01

    In this paper, a protocol is proposed in which energy extraction from local vacuum states is possible by using quantum measurement information for the vacuum state of quantum fields. In the protocol, Alice, who stays at a spatial point, excites the ground state of the fields by a local measurement. Consequently, wave packets generated by Alice's measurement propagate the vacuum to spatial infinity. Let us assume that Bob stays away from Alice and fails to catch the excitation energy when the wave packets pass in front of him. Next Alice announces her local measurement result to Bob by classical communication. Bob performs a local unitary operation depending on the measurement result. In this process, positive energy is released from the fields to Bob's apparatus of the unitary operation. In the field systems, wave packets are generated with negative energy around Bob's location. Soon afterwards, the negative-energy wave packets begin to chase after the positive-energy wave packets generated by Alice and form loosely bound states.

  6. Oxygen octahedra picker: A software tool to extract quantitative information from STEM images

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Yi, E-mail: y.wang@fkf.mpg.de; Salzberger, Ute; Sigle, Wilfried; Eren Suyolcu, Y.; Aken, Peter A. van

    2016-09-15

    In perovskite oxide based materials and hetero-structures there are often strong correlations between oxygen octahedral distortions and functionality. Thus, atomistic understanding of the octahedral distortion, which requires accurate measurements of atomic column positions, will greatly help to engineer their properties. Here, we report the development of a software tool to extract quantitative information of the lattice and of BO{sub 6} octahedral distortions from STEM images. Center-of-mass and 2D Gaussian fitting methods are implemented to locate positions of individual atom columns. The precision of atomic column distance measurements is evaluated on both simulated and experimental images. The application of the software tool is demonstrated using practical examples. - Highlights: • We report a software tool for mapping atomic positions from HAADF and ABF images. • It enables quantification of both crystal lattice and oxygen octahedral distortions. • We test the measurement accuracy and precision on simulated and experimental images. • It works well for different orientations of perovskite structures and interfaces.

  7. 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 FOR FAST EXTRACTION OF GLOBAL IMAGE INFORMATION. B.J van Wyk* M.A. van Wyk* and F. van den Bergh** * c29c55c48c51c46c4bc03 c36c52c58c57c4bc03 c24c49c55c4cc46c44c51c03 c37c48c46c4bc51c4cc46c44c4fc03 c2cc51c56c57c4cc57c58c57c48c03 c4cc51c03 c28c4fc48c...46c57c55c52c51c4cc46c56c03 c0bc29cb6c36c24c37c2cc28c0cc03 c44c57c03 c57c4bc48c03 c37c56c4bc5ac44c51c48c03 c38c51c4cc59c48c55c56c4cc57c5cc03 c52c49c03 Technology, Private Bag X680, Pretoria 0001. ** Remote Sensing Research Group, Meraka Institute...

  8. 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

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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…

  14. 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

    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......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....... Spatio-temporal visualization tools built on top of these methods enable planners to inspect and explore extracted information to inform facility-planning activities. To evaluate the methods, we present results for a large hospital complex covering more than 10 hectares. The evaluation is based on Wi...

  15. 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

  16. Validation and extraction of molecular-geometry information from small-molecule databases.

    Science.gov (United States)

    Long, Fei; Nicholls, Robert A; Emsley, Paul; Graǽulis, Saulius; Merkys, Andrius; Vaitkus, Antanas; Murshudov, Garib N

    2017-02-01

    A freely available small-molecule structure database, the Crystallography Open Database (COD), is used for the extraction of molecular-geometry information on small-molecule compounds. The results are used for the generation of new ligand descriptions, which are subsequently used by macromolecular model-building and structure-refinement software. To increase the reliability of the derived data, and therefore the new ligand descriptions, the entries from this database were subjected to very strict validation. The selection criteria made sure that the crystal structures used to derive atom types, bond and angle classes are of sufficiently high quality. Any suspicious entries at a crystal or molecular level were removed from further consideration. The selection criteria included (i) the resolution of the data used for refinement (entries solved at 0.84 Å resolution or higher) and (ii) the structure-solution method (structures must be from a single-crystal experiment and all atoms of generated molecules must have full occupancies), as well as basic sanity checks such as (iii) consistency between the valences and the number of connections between atoms, (iv) acceptable bond-length deviations from the expected values and (v) detection of atomic collisions. The derived atom types and bond classes were then validated using high-order moment-based statistical techniques. The results of the statistical analyses were fed back to fine-tune the atom typing. The developed procedure was repeated four times, resulting in fine-grained atom typing, bond and angle classes. The procedure will be repeated in the future as and when new entries are deposited in the COD. The whole procedure can also be applied to any source of small-molecule structures, including the Cambridge Structural Database and the ZINC database.

  17. Extracting respiratory information from seismocardiogram signals acquired on the chest using a miniature accelerometer

    International Nuclear Information System (INIS)

    Pandia, Keya; Inan, Omer T; Kovacs, Gregory T A; Giovangrandi, Laurent

    2012-01-01

    Seismocardiography (SCG) is a non-invasive measurement of the vibrations of the chest caused by the heartbeat. SCG signals can be measured using a miniature accelerometer attached to the chest, and are thus well-suited for unobtrusive and long-term patient monitoring. Additionally, SCG contains information relating to both cardiovascular and respiratory systems. In this work, algorithms were developed for extracting three respiration-dependent features of the SCG signal: intensity modulation, timing interval changes within each heartbeat, and timing interval changes between successive heartbeats. Simultaneously with a reference respiration belt, SCG signals were measured from 20 healthy subjects and a respiration rate was estimated using each of the three SCG features and the reference signal. The agreement between each of the three accelerometer-derived respiration rate measurements was computed with respect to the respiration rate derived from the reference respiration belt. The respiration rate obtained from the intensity modulation in the SCG signal was found to be in closest agreement with the respiration rate obtained from the reference respiration belt: the bias was found to be 0.06 breaths per minute with a 95% confidence interval of −0.99 to 1.11 breaths per minute. The limits of agreement between the respiration rates estimated using SCG (intensity modulation) and the reference were within the clinically relevant ranges given in existing literature, demonstrating that SCG could be used for both cardiovascular and respiratory monitoring. Furthermore, phases of each of the three SCG parameters were investigated at four instances of a respiration cycle—start inspiration, peak inspiration, start expiration, and peak expiration—and during breath hold (apnea). The phases of the three SCG parameters observed during the respiration cycle were congruent with existing literature and physiologically expected trends. (paper)

  18. Extracting key information from historical data to quantify the transmission dynamics of smallpox

    Directory of Open Access Journals (Sweden)

    Brockmann Stefan O

    2008-08-01

    Full Text Available Abstract Background Quantification of the transmission dynamics of smallpox is crucial for optimizing intervention strategies in the event of a bioterrorist attack. This article reviews basic methods and findings in mathematical and statistical studies of smallpox which estimate key transmission parameters from historical data. Main findings First, critically important aspects in extracting key information from historical data are briefly summarized. We mention different sources of heterogeneity and potential pitfalls in utilizing historical records. Second, we discuss how smallpox spreads in the absence of interventions and how the optimal timing of quarantine and isolation measures can be determined. Case studies demonstrate the following. (1 The upper confidence limit of the 99th percentile of the incubation period is 22.2 days, suggesting that quarantine should last 23 days. (2 The highest frequency (61.8% of secondary transmissions occurs 3–5 days after onset of fever so that infected individuals should be isolated before the appearance of rash. (3 The U-shaped age-specific case fatality implies a vulnerability of infants and elderly among non-immune individuals. Estimates of the transmission potential are subsequently reviewed, followed by an assessment of vaccination effects and of the expected effectiveness of interventions. Conclusion Current debates on bio-terrorism preparedness indicate that public health decision making must account for the complex interplay and balance between vaccination strategies and other public health measures (e.g. case isolation and contact tracing taking into account the frequency of adverse events to vaccination. In this review, we summarize what has already been clarified and point out needs to analyze previous smallpox outbreaks systematically.

  19. 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.

  20. 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…

  1. What's Happening in "Their Space"? Exploring the Borders of Formal and Informal Learning with Undergraduate Students of Education in the Age of Mobile Technologies

    Science.gov (United States)

    Andrews, Jane; Jones, Mark

    2015-01-01

    The changing nature of teaching and learning in an age of accessible technologies provides challenges and opportunities for the design of learning events. Working with a sample of undergraduate students of education in one UK higher education institution we use an exploratory, qualitative approach to investigate students' spontaneous uses of their…

  2. Evaluation of needle trap micro-extraction and solid-phase micro-extraction: Obtaining comprehensive information on volatile emissions from in vitro cultures.

    Science.gov (United States)

    Oertel, Peter; Bergmann, Andreas; Fischer, Sina; Trefz, Phillip; Küntzel, Anne; Reinhold, Petra; Köhler, Heike; Schubert, Jochen K; Miekisch, Wolfram

    2018-05-14

    Volatile organic compounds (VOCs) emitted from in vitro cultures may reveal information on species and metabolism. Owing to low nmol L -1 concentration ranges, pre-concentration techniques are required for gas chromatography-mass spectrometry (GC-MS) based analyses. This study was intended to compare the efficiency of established micro-extraction techniques - solid-phase micro-extraction (SPME) and needle-trap micro-extraction (NTME) - for the analysis of complex VOC patterns. For SPME, a 75 μm Carboxen®/polydimethylsiloxane fiber was used. The NTME needle was packed with divinylbenzene, Carbopack X and Carboxen 1000. The headspace was sampled bi-directionally. Seventy-two VOCs were calibrated by reference standard mixtures in the range of 0.041-62.24 nmol L -1 by means of GC-MS. Both pre-concentration methods were applied to profile VOCs from cultures of Mycobacterium avium ssp. paratuberculosis. Limits of detection ranged from 0.004 to 3.93 nmol L -1 (median = 0.030 nmol L -1 ) for NTME and from 0.001 to 5.684 nmol L -1 (median = 0.043 nmol L -1 ) for SPME. NTME showed advantages in assessing polar compounds such as alcohols. SPME showed advantages in reproducibility but disadvantages in sensitivity for N-containing compounds. Micro-extraction techniques such as SPME and NTME are well suited for trace VOC profiling over cultures if the limitations of each technique is taken into account. Copyright © 2018 John Wiley & Sons, Ltd.

  3. 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…

  4. 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

  5. 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

  6. Synthesis of High-Frequency Ground Motion Using Information Extracted from Low-Frequency Ground Motion

    Science.gov (United States)

    Iwaki, A.; Fujiwara, H.

    2012-12-01

    Broadband ground motion computations of scenario earthquakes are often based on hybrid methods that are the combinations of deterministic approach in lower frequency band and stochastic approach in higher frequency band. Typical computation methods for low-frequency and high-frequency (LF and HF, respectively) ground motions are the numerical simulations, such as finite-difference and finite-element methods based on three-dimensional velocity structure model, and the stochastic Green's function method, respectively. In such hybrid methods, LF and HF wave fields are generated through two different methods that are completely independent of each other, and are combined at the matching frequency. However, LF and HF wave fields are essentially not independent as long as they are from the same event. In this study, we focus on the relation among acceleration envelopes at different frequency bands, and attempt to synthesize HF ground motion using the information extracted from LF ground motion, aiming to propose a new method for broad-band strong motion prediction. Our study area is Kanto area, Japan. We use the K-NET and KiK-net surface acceleration data and compute RMS envelope at four frequency bands: 0.5-1.0 Hz, 1.0-2.0 Hz, 2.0-4.0 Hz, .0-8.0 Hz, and 8.0-16.0 Hz. Taking the ratio of the envelopes of adjacent bands, we find that the envelope ratios have stable shapes at each site. The empirical envelope-ratio characteristics are combined with low-frequency envelope of the target earthquake to synthesize HF ground motion. We have applied the method to M5-class earthquakes and a M7 target earthquake that occurred in the vicinity of Kanto area, and successfully reproduced the observed HF ground motion of the target earthquake. The method can be applied to a broad band ground motion simulation for a scenario earthquake by combining numerically-computed low-frequency (~1 Hz) ground motion with the empirical envelope ratio characteristics to generate broadband ground motion

  7. 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...

  8. BioSimplify: an open source sentence simplification engine to improve recall in automatic biomedical information extraction

    OpenAIRE

    Jonnalagadda, Siddhartha; Gonzalez, Graciela

    2011-01-01

    BioSimplify is an open source tool written in Java that introduces and facilitates the use of a novel model for sentence simplification tuned for automatic discourse analysis and information extraction (as opposed to sentence simplification for improving human readability). The model is based on a "shot-gun" approach that produces many different (simpler) versions of the original sentence by combining variants of its constituent elements. This tool is optimized for processing biomedical scien...

  9. 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...

  10. An Investigation of the Relationship Between Automated Machine Translation Evaluation Metrics and User Performance on an Information Extraction Task

    Science.gov (United States)

    2007-01-01

    more reliable than BLEU and that it is easier to understand in terms familiar to NLP researchers. 19 2.2.3 METEOR Researchers at Carnegie Mellon...essential elements of infor- mation from output generated by three types of Arabic -English MT engines. The information extraction experiment was one of three...reviewing the task hierarchy and examining the MT output of several engines. A small, prior pilot experiment to evaluate Arabic -English MT engines for

  11. 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.

  12. Extracting topographic structure from digital elevation data for geographic information-system analysis

    Science.gov (United States)

    Jenson, Susan K.; Domingue, Julia O.

    1988-01-01

    Software tools have been developed at the U.S. Geological Survey's EROS Data Center to extract topographic structure and to delineate watersheds and overland flow paths from digital elevation models. The tools are specialpurpose FORTRAN programs interfaced with general-purpose raster and vector spatial analysis and relational data base management packages.

  13. 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…

  14. Systematically extracting metal- and solvent-related occupational information from free-text responses to lifetime occupational history questionnaires.

    Science.gov (United States)

    Friesen, Melissa C; Locke, Sarah J; Tornow, Carina; Chen, Yu-Cheng; Koh, Dong-Hee; Stewart, Patricia A; Purdue, Mark; Colt, Joanne S

    2014-06-01

    Lifetime occupational history (OH) questionnaires often use open-ended questions to capture detailed information about study participants' jobs. Exposure assessors use this information, along with responses to job- and industry-specific questionnaires, to assign exposure estimates on a job-by-job basis. An alternative approach is to use information from the OH responses and the job- and industry-specific questionnaires to develop programmable decision rules for assigning exposures. As a first step in this process, we developed a systematic approach to extract the free-text OH responses and convert them into standardized variables that represented exposure scenarios. Our study population comprised 2408 subjects, reporting 11991 jobs, from a case-control study of renal cell carcinoma. Each subject completed a lifetime OH questionnaire that included verbatim responses, for each job, to open-ended questions including job title, main tasks and activities (task), tools and equipment used (tools), and chemicals and materials handled (chemicals). Based on a review of the literature, we identified exposure scenarios (occupations, industries, tasks/tools/chemicals) expected to involve possible exposure to chlorinated solvents, trichloroethylene (TCE) in particular, lead, and cadmium. We then used a SAS macro to review the information reported by study participants to identify jobs associated with each exposure scenario; this was done using previously coded standardized occupation and industry classification codes, and a priori lists of associated key words and phrases related to possibly exposed tasks, tools, and chemicals. Exposure variables representing the occupation, industry, and task/tool/chemicals exposure scenarios were added to the work history records of the study respondents. Our identification of possibly TCE-exposed scenarios in the OH responses was compared to an expert's independently assigned probability ratings to evaluate whether we missed identifying

  15. 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)

  16. 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.

  17. Point Cloud Classification of Tesserae from Terrestrial Laser Data Combined with Dense Image Matching for Archaeological Information Extraction

    Science.gov (United States)

    Poux, F.; Neuville, R.; Billen, R.

    2017-08-01

    Reasoning from information extraction given by point cloud data mining allows contextual adaptation and fast decision making. However, to achieve this perceptive level, a point cloud must be semantically rich, retaining relevant information for the end user. This paper presents an automatic knowledge-based method for pre-processing multi-sensory data and classifying a hybrid point cloud from both terrestrial laser scanning and dense image matching. Using 18 features including sensor's biased data, each tessera in the high-density point cloud from the 3D captured complex mosaics of Germigny-des-prés (France) is segmented via a colour multi-scale abstraction-based featuring extracting connectivity. A 2D surface and outline polygon of each tessera is generated by a RANSAC plane extraction and convex hull fitting. Knowledge is then used to classify every tesserae based on their size, surface, shape, material properties and their neighbour's class. The detection and semantic enrichment method shows promising results of 94% correct semantization, a first step toward the creation of an archaeological smart point cloud.

  18. 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)

  19. BioSimplify: an open source sentence simplification engine to improve recall in automatic biomedical information extraction.

    Science.gov (United States)

    Jonnalagadda, Siddhartha; Gonzalez, Graciela

    2010-11-13

    BioSimplify is an open source tool written in Java that introduces and facilitates the use of a novel model for sentence simplification tuned for automatic discourse analysis and information extraction (as opposed to sentence simplification for improving human readability). The model is based on a "shot-gun" approach that produces many different (simpler) versions of the original sentence by combining variants of its constituent elements. This tool is optimized for processing biomedical scientific literature such as the abstracts indexed in PubMed. We tested our tool on its impact to the task of PPI extraction and it improved the f-score of the PPI tool by around 7%, with an improvement in recall of around 20%. The BioSimplify tool and test corpus can be downloaded from https://biosimplify.sourceforge.net.

  20. 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

  1. 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…

  2. Extracting principles for information management adaptability during crisis response : A dynamic capability view

    NARCIS (Netherlands)

    Bharosa, N.; Janssen, M.F.W.H.A.

    2010-01-01

    During crises, relief agency commanders have to make decisions in a complex and uncertain environment, requiring them to continuously adapt to unforeseen environmental changes. In the process of adaptation, the commanders depend on information management systems for information. Yet there are still

  3. Extracting protein dynamics information from overlapped NMR signals using relaxation dispersion difference NMR spectroscopy.

    Science.gov (United States)

    Konuma, Tsuyoshi; Harada, Erisa; Sugase, Kenji

    2015-12-01

    Protein dynamics plays important roles in many biological events, such as ligand binding and enzyme reactions. NMR is mostly used for investigating such protein dynamics in a site-specific manner. Recently, NMR has been actively applied to large proteins and intrinsically disordered proteins, which are attractive research targets. However, signal overlap, which is often observed for such proteins, hampers accurate analysis of NMR data. In this study, we have developed a new methodology called relaxation dispersion difference that can extract conformational exchange parameters from overlapped NMR signals measured using relaxation dispersion spectroscopy. In relaxation dispersion measurements, the signal intensities of fluctuating residues vary according to the Carr-Purcell-Meiboon-Gill pulsing interval, whereas those of non-fluctuating residues are constant. Therefore, subtraction of each relaxation dispersion spectrum from that with the highest signal intensities, measured at the shortest pulsing interval, leaves only the signals of the fluctuating residues. This is the principle of the relaxation dispersion difference method. This new method enabled us to extract exchange parameters from overlapped signals of heme oxygenase-1, which is a relatively large protein. The results indicate that the structural flexibility of a kink in the heme-binding site is important for efficient heme binding. Relaxation dispersion difference requires neither selectively labeled samples nor modification of pulse programs; thus it will have wide applications in protein dynamics analysis.

  4. Extracting protein dynamics information from overlapped NMR signals using relaxation dispersion difference NMR spectroscopy

    Energy Technology Data Exchange (ETDEWEB)

    Konuma, Tsuyoshi [Icahn School of Medicine at Mount Sinai, Department of Structural and Chemical Biology (United States); Harada, Erisa [Suntory Foundation for Life Sciences, Bioorganic Research Institute (Japan); Sugase, Kenji, E-mail: sugase@sunbor.or.jp, E-mail: sugase@moleng.kyoto-u.ac.jp [Kyoto University, Department of Molecular Engineering, Graduate School of Engineering (Japan)

    2015-12-15

    Protein dynamics plays important roles in many biological events, such as ligand binding and enzyme reactions. NMR is mostly used for investigating such protein dynamics in a site-specific manner. Recently, NMR has been actively applied to large proteins and intrinsically disordered proteins, which are attractive research targets. However, signal overlap, which is often observed for such proteins, hampers accurate analysis of NMR data. In this study, we have developed a new methodology called relaxation dispersion difference that can extract conformational exchange parameters from overlapped NMR signals measured using relaxation dispersion spectroscopy. In relaxation dispersion measurements, the signal intensities of fluctuating residues vary according to the Carr-Purcell-Meiboon-Gill pulsing interval, whereas those of non-fluctuating residues are constant. Therefore, subtraction of each relaxation dispersion spectrum from that with the highest signal intensities, measured at the shortest pulsing interval, leaves only the signals of the fluctuating residues. This is the principle of the relaxation dispersion difference method. This new method enabled us to extract exchange parameters from overlapped signals of heme oxygenase-1, which is a relatively large protein. The results indicate that the structural flexibility of a kink in the heme-binding site is important for efficient heme binding. Relaxation dispersion difference requires neither selectively labeled samples nor modification of pulse programs; thus it will have wide applications in protein dynamics analysis.

  5. 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 (P<0·0001), were more likely to prepare for the seminar (P<0·0001) and significantly preferred using ARS (P<0·0001). ARS was found to significantly improve student concentration and participation in small group seminar teaching and significantly improved knowledge retention. ARS may be useful in facilitating orthodontic teaching in the future.

  6. 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

  7. Extracting information from an ensemble of GCMs to reliably assess future global runoff change

    NARCIS (Netherlands)

    Sperna Weiland, F.C.; Beek, L.P.H. van; Weerts, A.H.; Bierkens, M.F.P.

    2011-01-01

    Future runoff projections derived from different global climate models (GCMs) show large differences. Therefore, within this study the, information from multiple GCMs has been combined to better assess hydrological changes. For projections of precipitation and temperature the Reliability ensemble

  8. 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.

  9. Amplitude extraction in pseudoscalar-meson photoproduction: towards a situation of complete information

    International Nuclear Information System (INIS)

    Nys, Jannes; Vrancx, Tom; Ryckebusch, Jan

    2015-01-01

    A complete set for pseudoscalar-meson photoproduction is a minimum set of observables from which one can determine the underlying reaction amplitudes unambiguously. The complete sets considered in this work involve single- and double-polarization observables. It is argued that for extracting amplitudes from data, the transversity representation of the reaction amplitudes offers advantages over alternate representations. It is shown that with the available single-polarization data for the p(γ,K + )Λ reaction, the energy and angular dependence of the moduli of the normalized transversity amplitudes in the resonance region can be determined to a fair accuracy. Determining the relative phases of the amplitudes from double-polarization observables is far less evident. (paper)

  10. The Analysis of Tree Species Distribution Information Extraction and Landscape Pattern Based on Remote Sensing Images

    Directory of Open Access Journals (Sweden)

    Yi Zeng

    2017-08-01

    Full Text Available The forest ecosystem is the largest land vegetation type, which plays the role of unreplacement with its unique value. And in the landscape scale, the research on forest landscape pattern has become the current hot spot, wherein the study of forest canopy structure is very important. They determines the process and the strength of forests energy flow, which influences the adjustments of ecosystem for climate and species diversity to some extent. The extraction of influencing factors of canopy structure and the analysis of the vegetation distribution pattern are especially important. To solve the problems, remote sensing technology, which is superior to other technical means because of its fine timeliness and large-scale monitoring, is applied to the study. Taking Lingkong Mountain as the study area, the paper uses the remote sensing image to analyze the forest distribution pattern and obtains the spatial characteristics of canopy structure distribution, and DEM data are as the basic data to extract the influencing factors of canopy structure. In this paper, pattern of trees distribution is further analyzed by using terrain parameters, spatial analysis tools and surface processes quantitative simulation. The Hydrological Analysis tool is used to build distributed hydrological model, and corresponding algorithm is applied to determine surface water flow path, rivers network and basin boundary. Results show that forest vegetation distribution of dominant tree species present plaque on the landscape scale and their distribution have spatial heterogeneity which is related to terrain factors closely. After the overlay analysis of aspect, slope and forest distribution pattern respectively, the most suitable area for stand growth and the better living condition are obtained.

  11. 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

  12. Linking attentional processes and conceptual problem solving: visual cues facilitate the automaticity of extracting relevant information from diagrams.

    Science.gov (United States)

    Rouinfar, Amy; Agra, Elise; Larson, Adam M; Rebello, N Sanjay; Loschky, Lester C

    2014-01-01

    This study investigated links between visual attention processes and conceptual problem solving. This was done by overlaying visual cues on conceptual physics problem diagrams to direct participants' attention to relevant areas to facilitate problem solving. Participants (N = 80) individually worked through four problem sets, each containing a diagram, while their eye movements were recorded. Each diagram contained regions that were relevant to solving the problem correctly and separate regions related to common incorrect responses. Problem sets contained an initial problem, six isomorphic training problems, and a transfer problem. The cued condition saw visual cues overlaid on the training problems. Participants' verbal responses were used to determine their accuracy. This study produced two major findings. First, short duration visual cues which draw attention to solution-relevant information and aid in the organizing and integrating of it, facilitate both immediate problem solving and generalization of that ability to new problems. Thus, visual cues can facilitate re-representing a problem and overcoming impasse, enabling a correct solution. Importantly, these cueing effects on problem solving did not involve the solvers' attention necessarily embodying the solution to the problem, but were instead caused by solvers attending to and integrating relevant information in the problems into a solution path. Second, this study demonstrates that when such cues are used across multiple problems, solvers can automatize the extraction of problem-relevant information extraction. These results suggest that low-level attentional selection processes provide a necessary gateway for relevant information to be used in problem solving, but are generally not sufficient for correct problem solving. Instead, factors that lead a solver to an impasse and to organize and integrate problem information also greatly facilitate arriving at correct solutions.

  13. The Application of Chinese High-Spatial Remote Sensing Satellite Image in Land Law Enforcement Information Extraction

    Science.gov (United States)

    Wang, N.; Yang, R.

    2018-04-01

    Chinese high -resolution (HR) remote sensing satellites have made huge leap in the past decade. Commercial satellite datasets, such as GF-1, GF-2 and ZY-3 images, the panchromatic images (PAN) resolution of them are 2 m, 1 m and 2.1 m and the multispectral images (MS) resolution are 8 m, 4 m, 5.8 m respectively have been emerged in recent years. Chinese HR satellite imagery has been free downloaded for public welfare purposes using. Local government began to employ more professional technician to improve traditional land management technology. This paper focused on analysing the actual requirements of the applications in government land law enforcement in Guangxi Autonomous Region. 66 counties in Guangxi Autonomous Region were selected for illegal land utilization spot extraction with fusion Chinese HR images. The procedure contains: A. Defines illegal land utilization spot type. B. Data collection, GF-1, GF-2, and ZY-3 datasets were acquired in the first half year of 2016 and other auxiliary data were collected in 2015. C. Batch process, HR images were collected for batch preprocessing through ENVI/IDL tool. D. Illegal land utilization spot extraction by visual interpretation. E. Obtaining attribute data with ArcGIS Geoprocessor (GP) model. F. Thematic mapping and surveying. Through analysing 42 counties results, law enforcement officials found 1092 illegal land using spots and 16 suspicious illegal mining spots. The results show that Chinese HR satellite images have great potential for feature information extraction and the processing procedure appears robust.

  14. Implementation of generalized quantum measurements: Superadditive quantum coding, accessible information extraction, and classical capacity limit

    International Nuclear Information System (INIS)

    Takeoka, Masahiro; Fujiwara, Mikio; Mizuno, Jun; Sasaki, Masahide

    2004-01-01

    Quantum-information theory predicts that when the transmission resource is doubled in quantum channels, the amount of information transmitted can be increased more than twice by quantum-channel coding technique, whereas the increase is at most twice in classical information theory. This remarkable feature, the superadditive quantum-coding gain, can be implemented by appropriate choices of code words and corresponding quantum decoding which requires a collective quantum measurement. Recently, an experimental demonstration was reported [M. Fujiwara et al., Phys. Rev. Lett. 90, 167906 (2003)]. The purpose of this paper is to describe our experiment in detail. Particularly, a design strategy of quantum-collective decoding in physical quantum circuits is emphasized. We also address the practical implication of the gain on communication performance by introducing the quantum-classical hybrid coding scheme. We show how the superadditive quantum-coding gain, even in a small code length, can boost the communication performance of conventional coding techniques

  15. 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

  16. Extraction of basic roadway information for non-state roads in Florida : [summary].

    Science.gov (United States)

    2015-07-01

    The Florida Department of Transportation (FDOT) maintains a map of all the roads in Florida, : containing over one and a half million road links. For planning purposes, a wide variety : of information, such as stop lights, signage, lane number, and s...

  17. 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

  18. Synthetic aperture radar ship discrimination, generation and latent variable extraction using information maximizing generative adversarial networks

    CSIR Research Space (South Africa)

    Schwegmann, Colin P

    2017-07-01

    Full Text Available such as Synthetic Aperture Radar imagery. To aid in the creation of improved machine learning-based ship detection and discrimination methods this paper applies a type of neural network known as an Information Maximizing Generative Adversarial Network. Generative...

  19. 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…

  20. 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.

  1. 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.

  2. Use of social media tools among Nigerian undergraduates in three ...

    African Journals Online (AJOL)

    Use of social media tools among Nigerian undergraduates in three selected tertiary ... Information Impact: Journal of Information and Knowledge Management ... introduction of ICT literacy courses and subsidized internet access rate were ...

  3. Extracting 3d Semantic Information from Video Surveillance System Using Deep Learning

    Science.gov (United States)

    Zhang, J. S.; Cao, J.; Mao, B.; Shen, D. Q.

    2018-04-01

    At present, intelligent video analysis technology has been widely used in various fields. Object tracking is one of the important part of intelligent video surveillance, but the traditional target tracking technology based on the pixel coordinate system in images still exists some unavoidable problems. Target tracking based on pixel can't reflect the real position information of targets, and it is difficult to track objects across scenes. Based on the analysis of Zhengyou Zhang's camera calibration method, this paper presents a method of target tracking based on the target's space coordinate system after converting the 2-D coordinate of the target into 3-D coordinate. It can be seen from the experimental results: Our method can restore the real position change information of targets well, and can also accurately get the trajectory of the target in space.

  4. 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)

  5. Architecture and data processing alternatives for the TSE computer. Volume 2: Extraction of topological information from an image by the Tse computer

    Science.gov (United States)

    Jones, J. R.; Bodenheimer, R. E.

    1976-01-01

    A simple programmable Tse processor organization and arithmetic operations necessary for extraction of the desired topological information are described. Hardware additions to this organization are discussed along with trade-offs peculiar to the tse computing concept. An improved organization is presented along with the complementary software for the various arithmetic operations. The performance of the two organizations is compared in terms of speed, power, and cost. Software routines developed to extract the desired information from an image are included.

  6. 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).

  7. What do professional forecasters' stock market expectations tell us about herding, information extraction and beauty contests?

    DEFF Research Database (Denmark)

    Rangvid, Jesper; Schmeling, M.; Schrimpf, A.

    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...... their own forecast. We find strong evidence that the average of all forecasters' beliefs influences an individual's own forecast. This effect is stronger for young and less experienced forecasters as well as forecasters whose pay depends more on performance relative to a benchmark. Further tests indicate...

  8. 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.

  9. A method to extract quantitative information in analyzer-based x-ray phase contrast imaging

    International Nuclear Information System (INIS)

    Pagot, E.; Cloetens, P.; Fiedler, S.; Bravin, A.; Coan, P.; Baruchel, J.; Haertwig, J.; Thomlinson, W.

    2003-01-01

    Analyzer-based imaging is a powerful phase-sensitive technique that generates improved contrast compared to standard absorption radiography. Combining numerically two images taken on either side at ±1/2 of the full width at half-maximum (FWHM) of the rocking curve provides images of 'pure refraction' and of 'apparent absorption'. In this study, a similar approach is made by combining symmetrical images with respect to the peak of the analyzer rocking curve but at general positions, ±α·FWHM. These two approaches do not consider the ultrasmall angle scattering produced by the object independently, which can lead to inconsistent results. An accurate way to separately retrieve the quantitative information intrinsic to the object is proposed. It is based on a statistical analysis of the local rocking curve, and allows one to overcome the problems encountered using the previous approaches

  10. Breast cancer and quality of life: medical information extraction from health forums.

    Science.gov (United States)

    Opitz, Thomas; Aze, Jérome; Bringay, Sandra; Joutard, Cyrille; Lavergne, Christian; Mollevi, Caroline

    2014-01-01

    Internet health forums are a rich textual resource with content generated through free exchanges among patients and, in certain cases, health professionals. We tackle the problem of retrieving clinically relevant information from such forums, with relevant topics being defined from clinical auto-questionnaires. Texts in forums are largely unstructured and noisy, calling for adapted preprocessing and query methods. We minimize the number of false negatives in queries by using a synonym tool to achieve query expansion of initial topic keywords. To avoid false positives, we propose a new measure based on a statistical comparison of frequent co-occurrences in a large reference corpus (Web) to keep only relevant expansions. Our work is motivated by a study of breast cancer patients' health-related quality of life (QoL). We consider topics defined from a breast-cancer specific QoL-questionnaire. We quantify and structure occurrences in posts of a specialized French forum and outline important future developments.

  11. 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.

  12. Information Extraction and Interpretation Analysis of Mineral Potential Targets Based on ETM+ Data and GIS technology: A Case Study of Copper and Gold Mineralization in Burma

    International Nuclear Information System (INIS)

    Wenhui, Du; Yongqing, Chen; Nana, Guo; Yinglong, Hao; Pengfei, Zhao; Gongwen, Wang

    2014-01-01

    Mineralization-alteration and structure information extraction plays important roles in mineral resource prospecting and assessment using remote sensing data and the Geographical Information System (GIS) technology. Choosing copper and gold mines in Burma as example, the authors adopt band ratio, threshold segmentation and principal component analysis (PCA) to extract the hydroxyl alteration information using ETM+ remote sensing images. Digital elevation model (DEM) (30m spatial resolution) and ETM+ data was used to extract linear and circular faults that are associated with copper and gold mineralization. Combining geological data and the above information, the weights of evidence method and the C-A fractal model was used to integrate and identify the ore-forming favourable zones in this area. Research results show that the high grade potential targets are located with the known copper and gold deposits, and the integrated information can be used to the next exploration for the mineral resource decision-making

  13. 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/. © The Author(s) 2016. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  14. 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…

  15. Undergraduate Admissions | NSU

    Science.gov (United States)

    . Continuing Education Financial Aid Career Development Regional Campuses International Affairs Veterans Admissions Honors College Experiential Education Study Abroad Research Opportunities Career Preparation SharkLink California Disclosure International Affairs Undergraduate Advising Career Development Libraries at

  16. Citizen-Centric Urban Planning through Extracting Emotion Information from Twitter in an Interdisciplinary Space-Time-Linguistics Algorithm

    Directory of Open Access Journals (Sweden)

    Bernd Resch

    2016-07-01

    Full Text Available Traditional urban planning processes typically happen in offices and behind desks. Modern types of civic participation can enhance those processes by acquiring citizens’ ideas and feedback in participatory sensing approaches like “People as Sensors”. As such, citizen-centric planning can be achieved by analysing Volunteered Geographic Information (VGI data such as Twitter tweets and posts from other social media channels. These user-generated data comprise several information dimensions, such as spatial and temporal information, and textual content. However, in previous research, these dimensions were generally examined separately in single-disciplinary approaches, which does not allow for holistic conclusions in urban planning. This paper introduces TwEmLab, an interdisciplinary approach towards extracting citizens’ emotions in different locations within a city. More concretely, we analyse tweets in three dimensions (space, time, and linguistics, based on similarities between each pair of tweets as defined by a specific set of functional relationships in each dimension. We use a graph-based semi-supervised learning algorithm to classify the data into discrete emotions (happiness, sadness, fear, anger/disgust, none. Our proposed solution allows tweets to be classified into emotion classes in a multi-parametric approach. Additionally, we created a manually annotated gold standard that can be used to evaluate TwEmLab’s performance. Our experimental results show that we are able to identify tweets carrying emotions and that our approach bears extensive potential to reveal new insights into citizens’ perceptions of the city.

  17. 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…

  18. 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.

  19. A METHOD OF EXTRACTING SHORELINE BASED ON SEMANTIC INFORMATION USING DUAL-LENGTH LiDAR DATA

    Directory of Open Access Journals (Sweden)

    C. Yao

    2017-09-01

    Full Text Available Shoreline is a spatial varying separation between water and land. By utilizing dual-wavelength LiDAR point data together with semantic information that shoreline often appears beyond water surface profile and is observable on the beach, the paper generates the shoreline and the details are as follows: (1 Gain the water surface profile: first we obtain water surface by roughly selecting water points based on several features of water body, then apply least square fitting method to get the whole water trend surface. Then we get the ground surface connecting the under -water surface by both TIN progressive filtering method and surface interpolation method. After that, we have two fitting surfaces intersected to get water surface profile of the island. (2 Gain the sandy beach: we grid all points and select the water surface profile grids points as seeds, then extract sandy beach points based on eight-neighborhood method and features, then we get all sandy beaches. (3 Get the island shoreline: first we get the sandy beach shoreline based on intensity information, then we get a threshold value to distinguish wet area and dry area, therefore we get the shoreline of several sandy beaches. In some extent, the shoreline has the same height values within a small area, by using all the sandy shoreline points to fit a plane P, and the intersection line of the ground surface and the shoreline plane P can be regarded as the island shoreline. By comparing with the surveying shoreline, the results show that the proposed method can successfully extract shoreline.

  20. Can undergraduate students learn effectuation?

    DEFF Research Database (Denmark)

    Robinson, Sarah; Günzel-Jensen, Franziska

    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...

  1. 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

  2. An audit of the reliability of influenza vaccination and medical information extracted from eHealth records in general practice.

    Science.gov (United States)

    Regan, Annette K; Gibbs, Robyn A; Effler, Paul V

    2018-05-31

    To evaluate the reliability of information in general practice (GP) electronic health records (EHRs), 2100 adult patients were randomly selected for interview regarding the presence of specific medical conditions and recent influenza vaccination. Agreement between self-report and data extracted from EHRs was compared using Cohen's kappa coefficient (k) and interpreted in accordance with Altman's Kappa Benchmarking criteria; 377 (18%) patients declined participation, and 608 (29%) could not be contacted. Of 1115 (53%) remaining, 856 (77%) were active patients (≥3 visits to the GP practice in the last two years) who provided complete information for analysis. Although a higher proportion of patients self-reported being vaccinated or having a medical condition compared to the EHR (50.7% vs 36.9%, and 39.4% vs 30.3%, respectively), there was "good" agreement between self-report and EHR for both vaccination status (κ = 0.67) and medical conditions (κ = 0.66). These findings suggest EHR may be useful for public health surveillance. Crown Copyright © 2018. Published by Elsevier Ltd. All rights reserved.

  3. Undergraduate Seminars: The Poster Session Solution.

    Science.gov (United States)

    Chute, Douglas L.; Bank, Barry

    1983-01-01

    A good alternative to the undergraduate psychology seminar is the poster session. During the course each student wrote a review paper. For use in his/her class presentation, the student provided the following information on poster paper: title, author, abstract, a few graphs or illustrations from the literature, conclusions, and references. (RM)

  4. 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 ...

  5. 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…

  6. 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…

  7. 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

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

    Directory of Open Access Journals (Sweden)

    J. Braun

    2018-03-01

    Full Text Available 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

  9. 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.

  10. 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.

  11. Matrix groups for undergraduates

    CERN Document Server

    Tapp, Kristopher

    2005-01-01

    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 basic objects of Lie theory: Lie algebras, matrix exponentiation, Lie brackets, and maximal tori.

  12. 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.

  13. Profile of Undergraduate Students: Trends from Selected Years, 1995-96 to 2007-08. Web Tables. NCES 2010-220

    Science.gov (United States)

    Staklis, Sandra; Chen, Xianglei

    2010-01-01

    From 1995-96 to 2007-08, the number of students enrolled in undergraduate education in the United States grew from about 16.7 million to 21 million. These Web Tables provide information on undergraduates during the 1995-96, 1999-2000, 2003-04, and 2007-08 academic years. Estimates are presented for all undergraduates and for undergraduates who…

  14. 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…

  15. A Longitudinal Study of Undergraduate Students' Perceptions and Use Patterns of the University Libraries Web Portal: Does Information Literacy Instruction Play a Role?

    Science.gov (United States)

    Chen, Yu-Hui

    2012-01-01

    As the availability of digital resources increased exponentially over the last two decades, academic libraries have heavily invested in electronic resources and made them accessible via library Web portals. Yet, underutilization of library Web portals is a common concern among academic libraries. According to the information systems (IS)…

  16. Upgrading Undergraduate Biology Education

    Science.gov (United States)

    Musante, Susan

    2011-01-01

    On many campuses throughout the country, undergraduate biology education is in serious need of an upgrade. During the past few decades, the body of biological knowledge has grown exponentially, and as a research endeavor, the practice of biology has evolved. Education research has also made great strides, revealing many new insights into how…

  17. Designing Effective Undergraduate Research Experiences

    Science.gov (United States)

    Severson, S.

    2010-12-01

    I present a model for designing student research internships that is informed by the best practices of the Center for Adaptive Optics (CfAO) Professional Development Program. The dual strands of the CfAO education program include: the preparation of early-career scientists and engineers in effective teaching; and changing the learning experiences of students (e.g., undergraduate interns) through inquiry-based "teaching laboratories." This paper will focus on the carry-over of these ideas into the design of laboratory research internships such as the CfAO Mainland internship program as well as NSF REU (Research Experiences for Undergraduates) and senior-thesis or "capstone" research programs. Key ideas in maximizing student learning outcomes and generating productive research during internships include: defining explicit content, scientific process, and attitudinal goals for the project; assessment of student prior knowledge and experience, then following up with formative assessment throughout the project; setting reasonable goals with timetables and addressing motivation; and giving students ownership of the research by implementing aspects of the inquiry process within the internship.

  18. 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...

  19. 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.

  20. 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

  1. Undergraduate medical students' perspectives of skills, uses and preferences of information technology in medical education: A cross-sectional study in a Saudi Medical College.

    Science.gov (United States)

    Khamis, Nehal; Aljumaiah, Rawabi; Alhumaid, Alla; Alraheem, Hiba; Alkadi, Dalal; Koppel, Cristina; Abdulghani, Hamza Mohammad

    2018-05-07

    Information technology (IT) is widely used in medical education. However, there are not enough studies about IT uses and preferences among traditional and problem-based learning (PBL) medical students. To compare IT skills, uses and preferences for education between traditional and PBL medical students'. A cross-sectional study; a modified Educause Center for Analysis and Research online survey was sent to traditional curriculum 5th and PBL 4th year medical students of King Saud University. Most of the responding 176 students prefer mobile devices and moderate amount of IT in education. Fourth and fifth year students perceived high academic value of Google (94.2 vs. 86.7%, p = 0.34), YouTube (90.7 vs. 92.2%, p = 0.83) and PubMed (83.7 vs. 86.7%, p = 0.06). More 4th year than 5th year students rated themselves as skilled in learning management system (54.7 vs. 21.1%, p = 0.0001) and Smartboard use (40.7 vs. 23.3%, p = 0.04). Most students rated faculty IT skills as effective. Students agreed that technology helps working faster (95.5%) and make learning creative (85.9%). More integration of information literacy and IT training in medical curricula is needed to enhance better utilization of full features of IT resources available for learning and problem solving. National multi-institutional studies are recommended.

  2. Activity Coefficients of Acetone-Chloroform Solutions: An Undergraduate Experiment. Undergraduate Experiment.

    Science.gov (United States)

    Ozog, J. Z.; Morrison, J. A.

    1983-01-01

    Presents information, laboratory procedures, and results of an undergraduate experiment in which activity coefficients for a two-component liquid-vapor system are determined. Working in pairs, students can perform the experiment with 10 solutions in a given three-hour laboratory period. (Author/JN)

  3. 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.

  4. 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...

  5. Clinical reasoning in undergraduate nursing education: a scoping review

    OpenAIRE

    Menezes,Sáskia Sampaio Cipriano de; Corrêa,Consuelo Garcia; Silva,Rita de Cássia Gengo e; Cruz,Diná de Almeida Monteiro Lopes da

    2015-01-01

    Abstract OBJECTIVE This study aimed at analyzing the current state of knowledge on clinical reasoning in undergraduate nursing education. METHODS A systematic scoping review through a search strategy applied to the MEDLINE database, and an analysis of the material recovered by extracting data done by two independent reviewers. The extracted data were analyzed and synthesized in a narrative manner. RESULTS From the 1380 citations retrieved in the search, 23 were kept for review and their co...

  6. Gravitation, Symmetry and Undergraduates

    Science.gov (United States)

    Jorgensen, Jamie

    2001-04-01

    This talk will discuss "Project Petrov" Which is designed to investigate gravitational fields with symmetry. Project Petrov represents a collaboration involving physicists, mathematicians as well as graduate and undergraduate math and physics students. An overview of Project Petrov will be given, with an emphasis on students' contributions, including software to classify and generate Lie algebras, to classify isometry groups, and to compute the isometry group of a given metric.

  7. Frames for undergraduates

    CERN Document Server

    Han, Deguang; Larson, David; Weber, Eric

    2007-01-01

    Frames for Undergraduates is an undergraduate-level introduction to the theory of frames in a Hilbert space. This book can serve as a text for a special-topics course in frame theory, but it could also be used to teach a second semester of linear algebra, using frames as an application of the theoretical concepts. It can also provide a complete and helpful resource for students doing undergraduate research projects using frames. The early chapters contain the topics from linear algebra that students need to know in order to read the rest of the book. The later chapters are devoted to advanced topics, which allow students with more experience to study more intricate types of frames. Toward that end, a Student Presentation section gives detailed proofs of fairly technical results with the intention that a student could work out these proofs independently and prepare a presentation to a class or research group. The authors have also presented some stories in the Anecdotes section about how this material has moti...

  8. Teaching Epidemiology at the Undergraduate Level: Considerations and Approaches.

    Science.gov (United States)

    Goldmann, Emily; Stark, James H; Kapadia, Farzana; McQueen, Matthew B

    2018-06-01

    The rapid growth in undergraduate public health education has offered training in epidemiology to an increasing number of undergraduate students. Epidemiology courses introduce undergraduate students to a population health perspective and provide opportunities for these students to build essential skills and competencies such as ethical reasoning, teamwork, comprehension of scientific methods, critical thinking, quantitative and information literacy, ability to analyze public health information, and effective writing and oral communication. Taking a varied approach and incorporating active learning and assessment strategies can help engage students in the material, improve comprehension of key concepts, and further develop key competencies. In this commentary, we present examples of how epidemiology may be taught in the undergraduate setting. Evaluation of these approaches and others would be a valuable next step.

  9. Southern California Earthquake Center/Undergraduate Studies in Earthquake Information Technology (SCEC/UseIT): Towards the Next Generation of Internship

    Science.gov (United States)

    Perry, S.; Benthien, M.; Jordan, T. H.

    2005-12-01

    The SCEC/UseIT internship program is training the next generation of earthquake scientist, with methods that can be adapted to other disciplines. UseIT interns work collaboratively, in multi-disciplinary teams, conducting computer science research that is needed by earthquake scientists. Since 2002, the UseIT program has welcomed 64 students, in some two dozen majors, at all class levels, from schools around the nation. Each summer''s work is posed as a ``Grand Challenge.'' The students then organize themselves into project teams, decide how to proceed, and pool their diverse talents and backgrounds. They have traditional mentors, who provide advice and encouragement, but they also mentor one another, and this has proved to be a powerful relationship. Most begin with fear that their Grand Challenge is impossible, and end with excitement and pride about what they have accomplished. The 22 UseIT interns in summer, 2005, were primarily computer science and engineering majors, with others in geology, mathematics, English, digital media design, physics, history, and cinema. The 2005 Grand Challenge was to "build an earthquake monitoring system" to aid scientists who must visualize rapidly evolving earthquake sequences and convey information to emergency personnel and the public. Most UseIT interns were engaged in software engineering, bringing new datasets and functionality to SCEC-VDO (Virtual Display of Objects), a 3D visualization software that was prototyped by interns last year, using Java3D and an extensible, plug-in architecture based on the Eclipse Integrated Development Environment. Other UseIT interns used SCEC-VDO to make animated movies, and experimented with imagery in order to communicate concepts and events in earthquake science. One movie-making project included the creation of an assessment to test the effectiveness of the movie''s educational message. Finally, one intern created an interactive, multimedia presentation of the UseIT program.

  10. 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

  11. Motivation of first semester undergraduate students

    DEFF Research Database (Denmark)

    Schlichter, Bjarne; Sigvardsen, Kari; Jonsson, Sofia

    in the curriculum. Method - The study is based on interpretative research (Walsham, 2006; Yin, 2003) and the method chosen was a qualitative case study (Myers, 2009). The data for this study was collected through fieldwork and semi-structured interviews. The fieldwork was conducted during the autumn semester 2010...... of first semester undergraduate students. Keywords -Motivation; first year undergraduate students; Management Information Systems; teaching assistants. Paper type - Research paper....... to the processes in a company. 2) Methods for formal modeling of processes, data and occurrences. 3) An introduction to a company's information systems and the relationship of these to business strategies. In addition to the lectures and tutorials, the students have to hand in a prescribed group assignment...

  12. 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

  13. 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

  14. Extraction and analysis of reducing alteration information of oil-gas in Bashibulake uranium ore district based on ASTER remote sensing data

    International Nuclear Information System (INIS)

    Ye Fawang; Liu Dechang; Zhao Yingjun; Yang Xu

    2008-01-01

    Beginning with the analysis of the spectral characteristics of sandstone with reducing alteration of oil-gas in Bashibulake ore district, the extract technology of reducing alteration information based on ASTER data is presented. Several remote sensing anomaly zones of reducing alteration information similar with that in uranium deposit are interpreted in study area. On the basis of above study, these alteration anomaly information are further classified by using the advantage of ASTER data with multi-band in SWIR, the geological significance for alteration anomaly information is respectively discussed. As a result, alteration anomalies good for uranium prospecting are really selected, which provides some important information for uranium exploration in outland of Bashibulake uranium ore area. (authors)

  15. 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.

  16. 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

  17. Computerized extraction of information on the quality of diabetes care from free text in electronic patient records of general practitioners

    NARCIS (Netherlands)

    Voorham, Jaco; Denig, Petra

    2007-01-01

    Objective: This study evaluated a computerized method for extracting numeric clinical measurements related to diabetes care from free text in electronic patient records (EPR) of general practitioners. Design and Measurements: Accuracy of this number-oriented approach was compared to manual chart

  18. 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"

  19. 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.

  20. 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 ...

  1. 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…

  2. 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...

  3. Metacognitive awareness of learning strategies in undergraduates.

    Science.gov (United States)

    McCabe, Jennifer

    2011-04-01

    Two studies examined undergraduates' metacognitive awareness of six empirically-supported learning strategies. Study 1 results overall suggested an inability to predict the learning outcomes of educational scenarios describing the strategies of dual-coding, static-media presentations, low-interest extraneous details, testing, and spacing; there was, however, weak endorsement of the strategy of generating one's own study materials. In addition, an independent measure of metacognitive self-regulation was correlated with scenario performance. Study 2 demonstrated higher prediction accuracy for students who had received targeted instruction on applied memory topics in their psychology courses, and the best performance for those students directly exposed to the original empirical studies from which the scenarios were derived. In sum, this research suggests that undergraduates are largely unaware of several specific strategies that could benefit memory for course information; further, training in applied learning and memory topics has the potential to improve metacognitive judgments in these domains.

  4. Multineuronal vectorization is more efficient than time-segmental vectorization for information extraction from neuronal activities in the inferior temporal cortex.

    Science.gov (United States)

    Kaneko, Hidekazu; Tamura, Hiroshi; Tate, Shunta; Kawashima, Takahiro; Suzuki, Shinya S; Fujita, Ichiro

    2010-08-01

    In order for patients with disabilities to control assistive devices with their own neural activity, multineuronal spike trains must be efficiently decoded because only limited computational resources can be used to generate prosthetic control signals in portable real-time applications. In this study, we compare the abilities of two vectorizing procedures (multineuronal and time-segmental) to extract information from spike trains during the same total neuron-seconds. In the multineuronal vectorizing procedure, we defined a response vector whose components represented the spike counts of one to five neurons. In the time-segmental vectorizing procedure, a response vector consisted of components representing a neuron's spike counts for one to five time-segment(s) of a response period of 1 s. Spike trains were recorded from neurons in the inferior temporal cortex of monkeys presented with visual stimuli. We examined whether the amount of information of the visual stimuli carried by these neurons differed between the two vectorizing procedures. The amount of information calculated with the multineuronal vectorizing procedure, but not the time-segmental vectorizing procedure, significantly increased with the dimensions of the response vector. We conclude that the multineuronal vectorizing procedure is superior to the time-segmental vectorizing procedure in efficiently extracting information from neuronal signals. Copyright (c) 2010 Elsevier Ltd. All rights reserved.

  5. 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.

  6. 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

  7. 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.

  8. 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.

  9. 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

  10. Undergraduate paramedic students cannot do drug calculations.

    Science.gov (United States)

    Eastwood, Kathryn; Boyle, Malcolm J; Williams, Brett

    2012-01-01

    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. 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. 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%. 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.

  11. Undergraduate Students as Climate Communicators

    Science.gov (United States)

    Sharif, H. O.; Joseph, J.; Mullendore, G. L.

    2012-12-01

    The University of Texas at San Antonio (UTSA), San Antonio College (SAC), and the University of North Dakota (UND) are partnering with NASA to provide underrepresented undergraduates from UTSA, SAC, and other community colleges climate-related research and education experiences. The program aims to develop a robust response to climate change by providing K-16 climate change education; enhance the effectiveness of K-16 education particularly in engineering and other STEM disciplines by use of new instructional technologies; increase the enrollment in engineering programs and the number of engineering degrees awarded by showing engineering's usefulness in relation to the much-discussed contemporary issue of climate change; increase persistence in STEM degrees by providing student research opportunities; and increase the ethnic diversity of those receiving engineering degrees and help ensure an ethnically diverse response to climate change. Students will have the opportunity to participate in guided research experiences aligned with NASA Science Plan objectives for climate and Earth system science and the educational objectives of the three institutions. An integral part of the learning process will include training in modern media technology (webcasts), and in using this technology to communicate the information on climate change to others, especially high school students, culminating in production of a webcast about investigating aspects of climate change using NASA data. Content developed is leveraged by NASA Earth observation data and NASA Earth system models and tools. Several departments are involved in the educational program.

  12. Participatory Action Research Experiences for Undergraduates

    Science.gov (United States)

    Sample McMeeking, L. B.; Weinberg, A. E.

    2013-12-01

    Research experiences for undergraduates (REU) have been shown to be effective in improving undergraduate students' personal/professional development, ability to synthesize knowledge, improvement in research skills, professional advancement, and career choice. Adding to the literature on REU programs, a new conceptual model situating REU within a context of participatory action research (PAR) is presented and compared with data from a PAR-based coastal climate research experience that took place in Summer 2012. The purpose of the interdisciplinary Participatory Action Research Experiences for Undergraduates (PAREU) model is to act as an additional year to traditional, lab-based REU where undergraduate science students, social science experts, and community members collaborate to develop research with the goal of enacting change. The benefits to traditional REU's are well established and include increased content knowledge, better research skills, changes in attitudes, and greater career awareness gained by students. Additional positive outcomes are expected from undergraduate researchers (UR) who participate in PAREU, including the ability to better communicate with non-scientists. With highly politicized aspects of science, such as climate change, this becomes especially important for future scientists. Further, they will be able to articulate the relevance of science research to society, which is an important skill, especially given the funding climate where agencies require broader impacts statements. Making science relevant may also benefit URs who wish to apply their science research. Finally, URs will gain social science research skills by apprenticing in a research project that includes science and social science research components, which enables them to participate in future education and outreach. The model also positively impacts community members by elevating their voices within and outside the community, particularly in areas severely underserved

  13. 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…

  14. German Castles, Customs and Culture: Introducing a New Approach to the Undergraduate Culture Course

    Science.gov (United States)

    Lalande, John F., II

    2008-01-01

    Courses on the culture of the German-speaking world (GSW) have long dotted the landscape of undergraduate course offerings at North American colleges and universities. The primary purpose of this article is to share information about a new kind of undergraduate culture course that uses castles as a vehicle for introducing students to past and…

  15. Effects of Gender and Personality Differences on Twitter Addiction among Turkish Undergraduates

    Science.gov (United States)

    Kircaburun, Kagan

    2016-01-01

    In this study, it was aimed to examine the association between gender, personality traits and Twitter addiction (TA) among undergraduates. Study group consisted of 365 undergraduate students who are enrolled at the state university in western region of Black sea. Big Five Inventory, TA Scale and personal information form were used for data…

  16. 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…

  17. Patterns of Undergraduates' Use of Scholarly Databases in a Large Research University

    Science.gov (United States)

    Mbabu, Loyd Gitari; Bertram, Albert; Varnum, Ken

    2013-01-01

    Authentication data was utilized to explore undergraduate usage of subscription electronic databases. These usage patterns were linked to the information literacy curriculum of the library. The data showed that out of the 26,208 enrolled undergraduate students, 42% of them accessed a scholarly database at least once in the course of the entire…

  18. Integrated Factors Correlating Undergraduate Academic ...

    African Journals Online (AJOL)

    Integrated Factors Correlating Undergraduate Academic Achievement in Bayelsa State, Nigeria. ... AFRREV IJAH: An International Journal of Arts and Humanities ... Thus, it is study investigated the integrated factors determining academic performance of students in public secondary schools in Bayelsa State, Nigeria.

  19. 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.

  20. 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.

  1. Extracting Information about the Electronic Quality of Organic Solar-Cell Absorbers from Fill Factor and Thickness

    Science.gov (United States)

    Kaienburg, Pascal; Rau, Uwe; Kirchartz, Thomas

    2016-08-01

    Understanding the fill factor in organic solar cells remains challenging due to its complex dependence on a multitude of parameters. By means of drift-diffusion simulations, we thoroughly analyze the fill factor of such low-mobility systems and demonstrate its dependence on a collection coefficient defined in this work. We systematically discuss the effect of different recombination mechanisms, space-charge regions, and contact properties. Based on these findings, we are able to interpret the thickness dependence of the fill factor for different experimental studies from the literature. The presented model provides a facile method to extract the photoactive layer's electronic quality which is of particular importance for the fill factor. We illustrate that over the past 15 years, the electronic quality has not been continuously improved, although organic solar-cell efficiencies increased steadily over the same period of time. Only recent reports show the synthesis of polymers for semiconducting films of high electronic quality that are able to produce new efficiency records.

  2. Investigating the feasibility of using partial least squares as a method of extracting salient information for the evaluation of digital breast tomosynthesis

    Science.gov (United States)

    Zhang, George Z.; Myers, Kyle J.; Park, Subok

    2013-03-01

    Digital breast tomosynthesis (DBT) has shown promise for improving the detection of breast cancer, but it has not yet been fully optimized due to a large space of system parameters to explore. A task-based statistical approach1 is a rigorous method for evaluating and optimizing this promising imaging technique with the use of optimal observers such as the Hotelling observer (HO). However, the high data dimensionality found in DBT has been the bottleneck for the use of a task-based approach in DBT evaluation. To reduce data dimensionality while extracting salient information for performing a given task, efficient channels have to be used for the HO. In the past few years, 2D Laguerre-Gauss (LG) channels, which are a complete basis for stationary backgrounds and rotationally symmetric signals, have been utilized for DBT evaluation2, 3 . But since background and signal statistics from DBT data are neither stationary nor rotationally symmetric, LG channels may not be efficient in providing reliable performance trends as a function of system parameters. Recently, partial least squares (PLS) has been shown to generate efficient channels for the Hotelling observer in detection tasks involving random backgrounds and signals.4 In this study, we investigate the use of PLS as a method for extracting salient information from DBT in order to better evaluate such systems.

  3. 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.

  4. 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...

  5. 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.

  6. Extraction of information on macromolecular interactions from fluorescence micro-spectroscopy measurements in the presence and absence of FRET

    Science.gov (United States)

    Raicu, Valerică

    2018-06-01

    Investigations of static or dynamic interactions between proteins or other biological macromolecules in living cells often rely on the use of fluorescent tags with two different colors in conjunction with adequate theoretical descriptions of Förster Resonance Energy Transfer (FRET) and molecular-level micro-spectroscopic technology. One such method based on these general principles is FRET spectrometry, which allows determination of the quaternary structure of biomolecules from cell-level images of the distributions, or spectra of occurrence frequency of FRET efficiencies. Subsequent refinements allowed combining FRET frequency spectra with molecular concentration information, thereby providing the proportion of molecular complexes with various quaternary structures as well as their binding/dissociation energies. In this paper, we build on the mathematical principles underlying FRET spectrometry to propose two new spectrometric methods, which have distinct advantages compared to other methods. One of these methods relies on statistical analysis of color mixing in subpopulations of fluorescently tagged molecules to probe molecular association stoichiometry, while the other exploits the color shift induced by FRET to also derive geometric information in addition to stoichiometry. The appeal of the first method stems from its sheer simplicity, while the strength of the second consists in its ability to provide structural information.

  7. 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).

  8. 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

  9. 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.

  10. 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 detect peroxidase activity and furthermore, to analyze the total protein profile. After the assay, students may estimate the apparent molecular mass of the enzyme and discuss its structure. After the 4-h experiment, students gain knowledge concerning biological sample preparation, gel preparation, electrophoresis, and the importance of specific staining procedures for the detection of enzymatic activity. Copyright © 2014 The International Union of Biochemistry and Molecular Biology.

  11. 基于决策树的戈壁信息提取研究%Gobi information extraction based on decision tree classification method

    Institute of Scientific and Technical Information of China (English)

    冯益明; 智长贵; 姚爱冬

    2013-01-01

    Gobi is one of the main landscape types of earth' s surface in the arid region of northwestern parts of China, with the total area of 458 000-757 000 km2, accounting for the 4.8%-7.9% of China's total land area. The gobi holds abundant natural resources such as minerals, wind energy and solar power. Meanwhile, many modern cities and towns and some important traffic routes were also constructed on the gobi region. The gobi region plays an important role in the construction of western economy. Therefore, it is important to launch the gobi research under current social and economic conditions, and accurately revealing the distribution and area of gobi is the base and premise of launching the gobi research. At present, it is difficult to do fieldwork due to the execrable natural conditions and the sparse dweller in the gobi region, which leads to the scarcity of research documents on the situation, distribution, type classification, transformation and utilization of gobi. The studied region of this paper is a typical gobi distribution region, locating in Ejina County in Inner Mongolia, China, and its climatic characteristics include lack of rain, more evaporation, full sunshine, large temperature difference and frequent windy sand weather. Using Remote Sensing imageries Landsat TM5 and TM7 of plant growth season of 2005-2010, the DEM with 30 m spatial resolution, administrative map, present land use map, field investigation data and related documents as the basic data resource. Firstly, the non-gobi distribution regions were extracted in GIS software by analyzing DEM. Then, based on the analysis of spectral characteristics of difference typical ground objects, the information extraction model of Decision Tree based on knowledge was constructed to classify the remote sensing imageries, and eroded gobi and cumulated gobi were relatively accurately separated. The general accuracy of the extracted gobi information reached 91.57%. There were few materials in China on using

  12. 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 ...

  13. 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 ...

  14. Changing the Scholarly Sources Landscape with Geomorphology Undergraduate Students

    Science.gov (United States)

    Blackburn, Heidi; Dere, Ashlee

    2016-01-01

    Science is a core discipline in academia yet the focus of most undergraduate technical writing is generally on the data and results, not the literature review. The Science, Technology, Engineering, and Math (STEM) librarian and a new geology professor at the University of Nebraska at Omaha (UNO) collaborated to develop an information literacy…

  15. 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…

  16. 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…

  17. The Importance of Search as Intertextual Practice for Undergraduate Research

    Science.gov (United States)

    Bodemer, Brett B.

    2012-01-01

    By first reassessing the role of search in the literacy event of the lower division undergraduate paper, this article argues that searching is not a lower-order mental activity but a concurrent, integral component of the research-writing process. This conclusion has large implications for information literacy instructional design, and several…

  18. 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)

  19. 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)

  20. 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.

  1. Experiences of undergraduate nursing students in peer assisted learning in clinical practice: a qualitative systematic review.

    Science.gov (United States)

    Carey, Matthew C; Kent, Bridie; Latour, Jos M

    2018-05-01

    methodological quality independently by two reviewers, using the Joanna Briggs Institute Critical Appraisal Form for Interpretive and Critical Research. Qualitative data was extracted using the standardized JBI qualitative data extraction tool. Qualitative research findings were synthesized using JBI methodology. From the eight included studies, 37 findings were extracted. These findings were further aggregated into seven categories, and then into three synthesized findings. These three synthesized findings are: 1) Challenges of clinical practice are mitigated by peer support; 2) Peers are role models for enhancing clinical knowledge; and 3) Support and feedback develop competence and confidence, and reduce stress and anxiety. Peer-assisted learning exists in clinical practice in both formal and informal circumstances. Friendship and community are often expressed as occurring when peers work together. Support and feedback help students develop in their clinical role and enhance clinical knowledge. Outcomes include enhancing the competency and confidence of peers, and reducing stress and anxiety. Challenges of clinical practice are mitigated through PAL.

  2. 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.

  3. Comparing success levels of different neural network structures in extracting discriminative information from the response patterns of a temperature-modulated resistive gas sensor

    Science.gov (United States)

    Hosseini-Golgoo, S. M.; Bozorgi, H.; Saberkari, A.

    2015-06-01

    Performances of three neural networks, consisting of a multi-layer perceptron, a radial basis function, and a neuro-fuzzy network with local linear model tree training algorithm, in modeling and extracting discriminative features from the response patterns of a temperature-modulated resistive gas sensor are quantitatively compared. For response pattern recording, a voltage staircase containing five steps each with a 20 s plateau is applied to the micro-heater of the sensor, when 12 different target gases, each at 11 concentration levels, are present. In each test, the hidden layer neuron weights are taken as the discriminatory feature vector of the target gas. These vectors are then mapped to a 3D feature space using linear discriminant analysis. The discriminative information content of the feature vectors are determined by the calculation of the Fisher’s discriminant ratio, affording quantitative comparison among the success rates achieved by the different neural network structures. The results demonstrate a superior discrimination ratio for features extracted from local linear neuro-fuzzy and radial-basis-function networks with recognition rates of 96.27% and 90.74%, respectively.

  4. Comparing success levels of different neural network structures in extracting discriminative information from the response patterns of a temperature-modulated resistive gas sensor

    International Nuclear Information System (INIS)

    Hosseini-Golgoo, S M; Bozorgi, H; Saberkari, A

    2015-01-01

    Performances of three neural networks, consisting of a multi-layer perceptron, a radial basis function, and a neuro-fuzzy network with local linear model tree training algorithm, in modeling and extracting discriminative features from the response patterns of a temperature-modulated resistive gas sensor are quantitatively compared. For response pattern recording, a voltage staircase containing five steps each with a 20 s plateau is applied to the micro-heater of the sensor, when 12 different target gases, each at 11 concentration levels, are present. In each test, the hidden layer neuron weights are taken as the discriminatory feature vector of the target gas. These vectors are then mapped to a 3D feature space using linear discriminant analysis. The discriminative information content of the feature vectors are determined by the calculation of the Fisher’s discriminant ratio, affording quantitative comparison among the success rates achieved by the different neural network structures. The results demonstrate a superior discrimination ratio for features extracted from local linear neuro-fuzzy and radial-basis-function networks with recognition rates of 96.27% and 90.74%, respectively. (paper)

  5. 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)

  6. 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.

  7. 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

  8. The duality of gaze: Eyes extract and signal social information during sustained cooperative and competitive dyadic gaze

    Directory of Open Access Journals (Sweden)

    Michelle eJarick

    2015-09-01

    Full Text Available In contrast to nonhuman primate eyes, which have a dark sclera surrounding a dark iris, human eyes have a white sclera that surrounds a dark iris. This high contrast morphology allows humans to determine quickly and easily where others are looking and infer what they are attending to. In recent years an enormous body of work has used photos and schematic images of faces to study these aspects of social attention, e.g., the selection of the eyes of others and the shift of attention to where those eyes are directed. However, evolutionary theory holds that humans did not develop a high contrast morphology simply to use the eyes of others as attentional cues; rather they sacrificed camouflage for communication, that is, to signal their thoughts and intentions to others. In the present study we demonstrate the importance of this by taking as our starting point the hypothesis that a cornerstone of nonverbal communication is the eye contact between individuals and the time that it is held. In a single simple study we show experimentally that the effect of eye contact can be quickly and profoundly altered merely by having participants, who had never met before, play a game in a cooperative or competitive manner. After the game participants were asked to make eye contact for a prolonged period of time (10 minutes. Those who had played the game cooperatively found this terribly difficult to do, repeatedly talking and breaking gaze. In contrast, those who had played the game competitively were able to stare quietly at each other for a sustained period. Collectively these data demonstrate that when looking at the eyes of a real person one both acquires and signals information to the other person. This duality of gaze is critical to nonverbal communication, with the nature of that communication shaped by the relationship between individuals, e.g., cooperative or competitive.

  9. 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.

  10. Informe

    Directory of Open Access Journals (Sweden)

    Egon Lichetenberger

    1950-10-01

    Full Text Available Informe del doctor Egon Lichetenberger ante el Consejo Directivo de la Facultad, sobre el  curso de especialización en Anatomía Patológica patrocinado por la Kellogg Foundation (Departamento de Patología

  11. 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

  12. Using a Vaccine Proposal Assignment to Help Students Synthesize Topics Covered in an Undergraduate Immunology Course

    Directory of Open Access Journals (Sweden)

    Rebecca L. Sparks-Thissen

    2015-08-01

    Full Text Available Undergraduate students often have difficulty keeping track of all the pieces of the immune response and how they relate to each other.  To help students synthesize the information in an upper-level, undergraduate immunology course, the students in my course investigate the immune response to pathogen of their choosing and then use that information to design a vaccine to that pathogen.

  13. Undergraduate Chemistry Education: A Workshop Summary

    Science.gov (United States)

    Sawyer, Keegan; Alper, Joe

    2014-01-01

    "Undergraduate Chemistry Education" is the summary of a workshop convened in May 2013 by the Chemical Science Roundtable of the National Research Council to explore the current state of undergraduate chemistry education. Research and innovation in undergraduate chemistry education has been done for many years, and one goal of this…

  14. 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…

  15. 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.

  16. Undergraduate Training for Industrial Careers.

    Science.gov (United States)

    Stehney, Ann K.

    1983-01-01

    Forty-eight mathematicians in industry, business, and government replied to a questionnaire on the relative merits of the traditional undergraduate curriculum, advanced topics in pure mathematics, computer programing, additional computer science, and specialized or applied topics. They favored programing and applied mathematics, along with a…

  17. 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

  18. Sexual Values of 783 Undergraduates

    Science.gov (United States)

    Richey, Emily; Knox, David; Zusman, Marty

    2009-01-01

    The sexual values of absolutism (abstinence until marriage), relativism (sexual decisions made in reference to the nature of the relationship), and hedonism ("if it feels good, do it") were assessed in a convenience sample of 783 undergraduate students at a large southeastern university. Results revealed that relativism (62.1%) was the predominate…

  19. NSU Undergraduate Academic Advising Center

    Science.gov (United States)

    College of Psychology Dr. Kiran C. Patel College of Allopathic Medicine Dr. Kiran C. Patel College of , dentistry, law, and psychology. Certificate Receive a graduate level certificate to enhance your skills Institute Core Services & Equipment HPD Research Undergraduate Research Community Community Outreach

  20. Undergraduate Events | Nova Southeastern University

    Science.gov (United States)

    College of Psychology Dr. Kiran C. Patel College of Allopathic Medicine Dr. Kiran C. Patel College of , dentistry, law, and psychology. Certificate Receive a graduate level certificate to enhance your skills Institute Core Services & Equipment HPD Research Undergraduate Research Community Community Outreach

  1. 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,…

  2. 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…

  3. 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

  4. 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)

  5. 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.

  6. 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...

  7. 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

  8. 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

  9. 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.

  10. 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

  11. A hybrid approach for robust multilingual toponym extraction and disambiguation

    NARCIS (Netherlands)

    Habib, Mena Badieh; van Keulen, Maurice

    Toponym extraction and disambiguation are key topics recently addressed by fields of Information Extraction and Geographical Information Retrieval. Toponym extraction and disambiguation are highly dependent processes. Not only toponym extraction effectiveness affects disambiguation, but also

  12. 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

  13. 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,…

  14. 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…

  15. The Impact of Providing Web-Based PowerPoint Slides as Study Guides in Undergraduate Business Classes

    Science.gov (United States)

    Frank, Jonathan; Shaw, Lewis; Wilson, Elizabeth

    2009-01-01

    This study examines undergraduate business students' use of PowerPoint slides provided as a supplement to class attendance, textbook reading, and other traditional course resources. We survey students in 4 diverse (accounting, marketing, management, and information systems) lower-level undergraduate courses in which the instructor provided…

  16. 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.

  17. 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

  18. Mathematics Undergraduates' Responses to Semantic Abbreviations, 'Geometric' Images and Multi-Level Abstractions in Group Theory.

    Science.gov (United States)

    Nardi, Elena

    2000-01-01

    Identifies and explores the difficulties in the novice mathematician's encounter with mathematical abstraction. Observes 20 first-year mathematics undergraduates and extracts sets of episodes from the transcripts of the tutorials and interviews within five topics in pure mathematics. Discusses issues related to the learning of one mathematical…

  19. Microfluidic Gel Electrophoresis in the Undergraduate Laboratory Applied to Food Analysis

    Science.gov (United States)

    Chao, Tzu-Chiao; Bhattacharya, Sanchari; Ros, Alexandra

    2012-01-01

    A microfluidics-based laboratory experiment for the analysis of DNA fragments in an analytical undergraduate course is presented. The experiment is set within the context of food species identification via amplified DNA fragments. The students are provided with berry samples from which they extract DNA and perform polymerase chain reaction (PCR)…

  20. 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…

  1. [Smoking among undergraduate university students].

    Science.gov (United States)

    Barra C, Lisseth; Fernández P, Paola; Granada G, Felipe; Ávila C, Paula; Mallea M, Javier; Rodríguez M, Yeniffer

    2015-10-01

    Smoking is one of the major Public Health problems worldwide. To study the frequency of tobacco smoking among undergraduate students of a Chilean university. An opinion survey was sent by e-mail to all undergraduate students of a university, registering gender, age, study years, study area, smoking behavior, motivation (reason for smoking), intention to quit and tobacco law perception. 1,008 (57% females) out of 11,679 surveys were answered back. Prevalence of active smoking among respondents was 36%, without association with gender, age or years of study. However, students from scientific areas had a lower prevalence. Seventy seven percent of smokers manifested the intention to quit the habit or have started quitting already. Ninety six percent were acquainted with the tobacco law and by 73% agreed with it. Smoking is highly prevalent among university students. It is necessary to develop strategies for smoking cessation within universities that may prevent or reduce tobacco smoking among students.

  2. Enhancing undergraduate students’ communications skills

    DEFF Research Database (Denmark)

    Jørgensen, Merete; Witt, Klaus; Fridorff-Jens, Peter Kindt

    2014-01-01

    ,Monika Bullinger,Matthias Rose, Sylke Andreas.Enhancing medical students' communication skills: development and evaluation of an undergraduate training program.Published online 2012 March 24. doi: 10.1186/1472-6920-12-16 2.William T. Branch, Jr, MD; David Kern, MD; Paul Haidet, MD, MPH; Peter Weissmann, MD......19729 Abstract Title: Enhancing undergraduate students communications skills Abstract Authors: •Merete Jorgensen, Copenhagen University , Family Medicine , Copenhagen •Klaus Witt, Research Unit , Family Medicine , Copenhagen •Peter Kindt Fridorff-Jens, Copenhagen University , IT-unit , Copenhagen...... Abstract Presenter(s): •Merete Jorgensen, Copenhagen University , Family Medicine , Øster Farigmagsgade 5 , 1014 , K , Denmark , mejor@sund.ku.dk Abstract: Background Being teachers in Clinical Course of Family Medicine since 1995, we have developed two schemes for communication analysing purposes called...

  3. 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...

  4. Undergraduate Research Opportunities in OSS

    Science.gov (United States)

    Boldyreff, Cornelia; Capiluppi, Andrea; Knowles, Thomas; Munro, James

    Using Open Source Software (OSS) in undergraduate teaching in universities is now commonplace. Students use OSS applications and systems in their courses on programming, operating systems, DBMS, web development to name but a few. Studying OSS projects from both a product and a process view also forms part of the software engineering curriculum at various universities. Many students have taken part in OSS projects as well as developers.

  5. Burnout in premedical undergraduate students.

    Science.gov (United States)

    Fang, Daniel Z; Fang, Daniel; Young, Christina B; Young, Christina; Golshan, Shah; Moutier, Christine; Zisook, Sidney

    2012-01-01

    There has been growing recognition that medical students, interns, residents and practicing physicians across many specialties are prone to burnout, with recent studies linking high rates of burnout to adverse mental health issues. Little is known about the trajectory and origins of burnout or whether its roots may be traced to earlier in medical training, specifically, during undergraduate studies. Here, the authors surveyed undergraduates at UC San Diego (UCSD) to assess the relationship of burnout to premedical status while controlling for depression severity. Undergraduate students at UCSD were invited to participate in a web-based survey, consisting of demographic questions; the Maslach Burnout Inventory Student Survey (MBI-SS), which gauged the three dimensions of burnout; and the nine-item Patient Health Questionnaire (PHQ-9), to assess depression severity. A total of 618 premedical students and 1,441 non-premedical students completed the questionnaire. Premedical students had greater depression severity and emotional exhaustion than non-premedical students, but they also exhibited a greater sense of personal efficacy. The burnout differences were persistent even after adjusting for depression. Also, premedical women and Hispanic students had especially high levels of burnout, although differences between groups became nonsignificant after accounting for depression. Despite the limitations of using a burnout questionnaire not specifically normed for undergraduates, the unique ethnic characteristics of the sample, and the uncertain response rate, the findings highlight the importance of recognizing the unique strains and mental health disturbances that may be more common among premedical students than non-premedical students. Results also underscore the close relationship between depression and burnout, and point the way for subsequent longitudinal, multi-institutional studies that could help identify opportunities for prevention and intervention.

  6. Analysis of graphical representation among freshmen in undergraduate physics laboratory

    Science.gov (United States)

    Adam, A. S.; Anggrayni, S.; Kholiq, A.; Putri, N. P.; Suprapto, N.

    2018-03-01

    Physics concept understanding is the importance of the physics laboratory among freshmen in the undergraduate program. These include the ability to interpret the meaning of the graph to make an appropriate conclusion. This particular study analyses the graphical representation among freshmen in an undergraduate physics laboratory. This study uses empirical study with quantitative approach. The graphical representation covers 3 physics topics: velocity of sound, simple pendulum and spring system. The result of this study shows most of the freshmen (90% of the sample) make a graph based on the data from physics laboratory. It means the transferring process of raw data which illustrated in the table to physics graph can be categorised. Most of the Freshmen use the proportional principle of the variable in graph analysis. However, Freshmen can't make the graph in an appropriate variable to gain more information and can't analyse the graph to obtain the useful information from the slope.

  7. Retention of first aid and basic life support skills in undergraduate medical students

    OpenAIRE

    Pim A. de Ruijter; Heleen A. Biersteker; Jan Biert; Harry van Goor; Edward C. Tan

    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...

  8. The Curvelet Transform in the analysis of 2-D GPR data: Signal enhancement and extraction of orientation-and-scale-dependent information

    Science.gov (United States)

    Tzanis, Andreas

    2013-04-01

    wavelet transform: whereas discrete wavelets are designed to provide sparse representations of functions with point singularities, curvelets are designed to provide sparse representations of functions with singularities on curves. This work investigates the utility of the CT in processing noisy GPR data from geotechnical and archaeometric surveys. The analysis has been performed with the Fast Discrete CT (FDCT - Candès et al., 2006) available from http://www.curvelet.org/ and adapted for use by the matGPR software (Tzanis, 2010). The adaptation comprises a set of driver functions that compute and display the curvelet decomposition of the input GPR section and then allow for the interactive exclusion/inclusion of data (wavefront) components at different scales and angles by cancelation/restoration of the corresponding curvelet coefficients. In this way it is possible to selectively reconstruct the data so as to abstract/retain information of given scales and orientations. It is demonstrated that the CT can be used to: (a) Enhance the S/N ratio by cancelling directional noise wavefronts of any angle of emergence, with particular reference to clutter. (b) Extract geometric information for further scrutiny, e.g. distinguish signals from small and large aperture fractures, faults, bedding etc. (c) Investigate the characteristics of signal propagation (hence material properties), albeit indirectly. This is possible because signal attenuation and temporal localization are closely associated, so that scale and spatio-temporal localization are also closely related. Thus, interfaces embedded in low attenuation domains will tend to produce sharp reflections rich in high frequencies and fine-scale localization. Conversely, interfaces in high attenuation domains will tend to produce dull reflections rich in low frequencies and broad localization. At a single scale and with respect to points (a) and (b) above, the results of the CT processor are comparable to those of the tuneable

  9. 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 ...

  10. What do medical students understand by research and research skills? Identifying research opportunities within undergraduate projects.

    Science.gov (United States)

    Murdoch-Eaton, Deborah; Drewery, Sarah; Elton, Sarah; Emmerson, Catherine; Marshall, Michelle; Smith, John A; Stark, Patsy; Whittle, Sue

    2010-01-01

    Undergraduate research exposure leads to increased recruitment into academic medicine, enhanced employability and improved postgraduate research productivity. Uptake of undergraduate research opportunities is reported to be disappointing, and little is known about how students perceive research. To investigate opportunities for undergraduate participation in research, recognition of such opportunities, and associated skills development. A mixed method approach, incorporating student focus and study groups, and documentary analysis at five UK medical schools. Undergraduates recognised the benefits of acquiring research skills, but identified practical difficulties and disadvantages of participating. Analysis of 905 projects in four main research skill areas - (1) research methods; (2) information gathering; (3) critical analysis and review; (4) data processing - indicated 52% of projects provided opportunities for students to develop one or more skills, only 13% offered development in all areas. In 17%, project descriptions provided insufficient information to determine opportunities. Supplied with information from a representative sample of projects (n = 80), there was little consensus in identifying skills among students or between students and researchers. Consensus improved dramatically following guidance on how to identify skills. Undergraduates recognise the benefits of research experience but need a realistic understanding of the research process. Opportunities for research skill development may not be obvious. Undergraduates require training to recognise the skills required for research and enhanced transparency in potential project outcomes.

  11. 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

  12. The Effects of Using Multimedia Presentations and Modular Worked-Out Examples as Instructional Methodologies to Manage the Cognitive Processing Associated with Information Literacy Instruction at the Graduate and Undergraduate Levels of Nursing Education

    Science.gov (United States)

    Calhoun, Shawn P.

    2012-01-01

    Information literacy is a complex knowledge domain. Cognitive processing theory describes the effects an instructional subject and the learning environment have on working memory. Essential processing is one component of cognitive processing theory that explains the inherent complexity of knowledge domains such as information literacy. Prior…

  13. 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.

  14. 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.

  15. 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

  16. 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.

  17. 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...

  18. Extraction process

    International Nuclear Information System (INIS)

    Rendall, J.S.; Cahalan, M.J.

    1979-01-01

    A process is described for extracting at least two desired constituents from a mineral, using a liquid reagent which produces the constituents, or compounds thereof, in separable form and independently extracting those constituents, or compounds. The process is especially valuable for the extraction of phosphoric acid and metal values from acidulated phosphate rock, the slurry being contacted with selective extractants for phosphoric acid and metal (e.g. uranium) values. In an example, uranium values are oxidized to uranyl form and extracted using an ion exchange resin. (U.K.)

  19. Solvent extraction

    Energy Technology Data Exchange (ETDEWEB)

    Coombs, D.M.; Latimer, E.G.

    1988-01-05

    It is an object of this invention to provide for the demetallization and general upgrading of heavy oil via a solvent extracton process, and to improve the efficiency of solvent extraction operations. The yield and demetallization of product oil form heavy high-metal content oil is maximized by solvent extractions which employ either or all of the following techniques: premixing of a minor amount of the solvent with feed and using countercurrent flow for the remaining solvent; use of certain solvent/free ratios; use of segmental baffle tray extraction column internals and the proper extraction column residence time. The solvent premix/countercurrent flow feature of the invention substantially improves extractions where temperatures and pressures above the critical point of the solvent are used. By using this technique, a greater yield of extract oil can be obtained at the same metals content or a lower metals-containing extract oil product can be obtained at the same yield. Furthermore, the premixing of part of the solvent with the feed before countercurrent extraction gives high extract oil yields and high quality demetallization. The solvent/feed ratio features of the invention substanially lower the captial and operating costs for such processes while not suffering a loss in selectivity for metals rejection. The column internals and rsidence time features of the invention further improve the extractor metals rejection at a constant yield or allow for an increase in extract oil yield at a constant extract oil metals content. 13 figs., 3 tabs.

  20. [Study on the influencing factors related to suicide ideation among undergraduates in Anhui province].

    Science.gov (United States)

    Fan, Yin-Guang; Xiao, Qin; Wang, Qian; Li, Wen-Xian; Dong, Ma-Xia; Ye, Dong-Qing

    2008-03-01

    To explore the relationships between quality of life, negative life events, social support and suicide ideation among undergraduates in colleges. 3517 undergraduates in colleges were recruited by multistage stratified random clustered sampling method. Factors associated with suicide ideation were analyzed with logistic regression by scores of Beck Scale for Suicide Ideation(BSSI), Generic Quality of Life Inventory (GQOLI), Adolescent Self-rate Life Events Checklist (ASLEC), Social Support Rating Scale (SSRS) and a questionnaire on background information. The rate of suicide ideation within 7 days was 14.1%, especially in females (15.96%), with single parent (23.79%) and disabled undergraduates (25.00%). The primary risk factors for suicide ideation were with low psychological function, material life, family/social support, lower availability of support and more negative life events. The prevalence of suicide ideation among these undergraduates was high, appropriate measures focusing on these risk factors should be implemented.