Relevant bibliographies by topics / Literature Search

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Literature Search'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Literature Search"

1

Schumann, Holger, Axel Berres, Tilman Stehr, and Dominik Engelhardt. "Effective Selection of Quality Literature During a Systematic Literature Review." Informing Science: The International Journal of an Emerging Transdiscipline 23 (2020): 077–87. http://dx.doi.org/10.28945/4551.

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Aim/Purpose: Although a literature review is the fundamental base for any research, it is often considered tedious and conducted with a lack of methodology and rigor. The paper presents a method for systematically searching and screening literature using modern search technologies. The method focuses on minimizing the amount of manual screening by employing the references among papers. Background: A method to select quality literature effectively using modern search technologies is presented and evaluated. Methodology: The method starts with a keywords search in which the most suitable keywords are identified. In the backward search, promising resources are collected based on the keywords and their reference sections are searched for duplicates to find often cited basic literature. Then, the forward search identifies current literature that cites the basic sources. Contribution: Modern search technologies have the potential to improve the effectiveness of the use of information channels significantly and thus of traditional literature searches. Findings: The selection method was applied to the field of literature review itself and to the field of functional modelling. In both cases, relevant literature was identified within a surprisingly short time. Recommendation for Researchers: Literature reviews should be done systematically by using modern search technologies. Future Research: The presented method may be adapted according to the evolution of search technologies. The tool support for the automated extraction of references should be improved and a quantitative evaluation of the method in comparison to traditional reviews may foster the findings.
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Patsakos, George. "Search the literature!" American Journal of Physics 58, no. 1 (January 1990): 12. http://dx.doi.org/10.1119/1.16312.

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Hug, Gina Puente. "Literature Search Improvement Project." Medical Reference Services Quarterly 20, no. 4 (December 2001): 39–46. http://dx.doi.org/10.1300/j115v20n04_03.

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Glickman, J. Fraser, and Doug Auld. "Literature Search and Review." ASSAY and Drug Development Technologies 2, no. 4 (August 2004): 443–48. http://dx.doi.org/10.1089/adt.2004.2.443.

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Fraser Glickman, J., and Doug Auld. "Literature Search and Review." ASSAY and Drug Development Technologies 2, no. 5 (October 2004): 579–85. http://dx.doi.org/10.1089/adt.2004.2.579.

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Glickman, J. Fraser, and Doug Auld. "Literature Search and Review." ASSAY and Drug Development Technologies 2, no. 6 (December 2004): 703–18. http://dx.doi.org/10.1089/adt.2004.2.703.

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Glickman, J. Fraser, and Doug Auld. "Literature Search and Review." ASSAY and Drug Development Technologies 3, no. 2 (April 2005): 227–40. http://dx.doi.org/10.1089/adt.2005.3.227.

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Glickman, J. Fraser, and Doug Auld. "Literature Search and Review." ASSAY and Drug Development Technologies 3, no. 3 (June 2005): 339–50. http://dx.doi.org/10.1089/adt.2005.3.339.

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Auld, Doug, and Anton Simeonov. "Literature Search and Review." ASSAY and Drug Development Technologies 3, no. 4 (August 2005): 439–53. http://dx.doi.org/10.1089/adt.2005.3.439.

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Auld, Doug, and Anton Simeonov. "Literature Search and Review." ASSAY and Drug Development Technologies 3, no. 5 (October 2005): 581–93. http://dx.doi.org/10.1089/adt.2005.3.581.

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Dissertations / Theses on the topic "Literature Search"

1

Schatz, Bruce R., William Mischo, Timothy Cole, Ann Peterson Bishop, Susan Harum, Eric H. Johnson, Laura Neumann, Hsinchun Chen, and Tobun Dorbin Ng. "Federated Search of Scientific Literature." IEEE, 1999. http://hdl.handle.net/10150/105326.

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Artificial Intelligence Lab, Department of MIS, University of Arizona
The Digital Libraries Initiative (DLI) project at the University of Illinois at Urbana-Champaign (UIUC) was one of six sponsored by the NSF, DARPA, and NASA from 1994 through 1998. Our goal was to develop widely usable Web technology to effectively search technical documents on the Internet. We concentrated on building the experimental Illinois DLI Testbed with tens of thousands of full-text journal articles from physics, engineering, and computer science, and on making these articles available over the Internet before they are available in print. Our DLI Testbed used document structure to provide federated search across publisher collections, by merging diverse tags from multiple publishers into a single uniform collection. Our sociology research evaluated the usage of the DLI Testbed by more than a thousand UIUC faculty and students. Our technology research moved beyond document structure to document semantics, testing contextual indexing of document content on millions of documents.
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Lait, Angela. "The search for solace in late capitalist literature." Thesis, University of Manchester, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.495046.

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This thesis argues that the technology-accelerated pace of living and working driven by market conditions of 'flexible accumulation' (Harvey) makes meaningful existence and fulfilment at work ever more difficult. It addresses how the ideals of the new economy influence the individual and the difficulties this poses in relation to identity-making in a late-capitalist context.
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Doms, Andreas. "GoPubMed: Ontology-based literature search for the life sciences." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1232454035091-47450.

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Background: Most of our biomedical knowledge is only accessible through texts. The biomedical literature grows exponentially and PubMed comprises over 18.000.000 literature abstracts. Recently much effort has been put into the creation of biomedical ontologies which capture biomedical facts. The exploitation of ontologies to explore the scientific literature is a new area of research. Motivation: When people search, they have questions in mind. Answering questions in a domain requires the knowledge of the terminology of that domain. Classical search engines do not provide background knowledge for the presentation of search results. Ontology annotated structured databases allow for data-mining. The hypothesis is that ontology annotated literature databases allow for text-mining. The central problem is to associate scientific publications with ontological concepts. This is a prerequisite for ontology-based literature search. The question then is how to answer biomedical questions using ontologies and a literature corpus. Finally the task is to automate bibliometric analyses on an corpus of scientific publications. Approach: Recent joint efforts on automatically extracting information from free text showed that the applied methods are complementary. The idea is to employ the rich terminological and relational information stored in biomedical ontologies to markup biomedical text documents. Based on established semantic links between documents and ontology concepts the goal is to answer biomedical question on a corpus of documents. The entirely annotated literature corpus allows for the first time to automatically generate bibliometric analyses for ontological concepts, authors and institutions. Results: This work includes a novel annotation framework for free texts with ontological concepts. The framework allows to generate recognition patterns rules from the terminological and relational information in an ontology. Maximum entropy models can be trained to distinguish the meaning of ambiguous concept labels. The framework was used to develop a annotation pipeline for PubMed abstracts with 27,863 Gene Ontology concepts. The evaluation of the recognition performance yielded a precision of 79.9% and a recall of 72.7% improving the previously used algorithm by 25,7% f-measure. The evaluation was done on a manually created (by the original authors) curation corpus of 689 PubMed abstracts with 18,356 curations of concepts. Methods to reason over large amounts of documents with ontologies were developed. The ability to answer questions with the online system was shown on a set of biomedical question of the TREC Genomics Track 2006 benchmark. This work includes the first ontology-based, large scale, online available, up-to-date bibliometric analysis for topics in molecular biology represented by GO concepts. The automatic bibliometric analysis is in line with existing, but often out-dated, manual analyses. Outlook: A number of promising continuations starting from this work have been spun off. A freely available online search engine has a growing user community. A spin-off company was funded by the High-Tech Gründerfonds which commercializes the new ontology-based search paradigm. Several off-springs of GoPubMed including GoWeb (general web search), Go3R (search in replacement, reduction, refinement methods for animal experiments), GoGene (search in gene/protein databases) are developed.
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Doms, Andreas. "GoPubMed: Ontology-based literature search for the life sciences." Doctoral thesis, Technische Universität Dresden, 2008. https://tud.qucosa.de/id/qucosa%3A23835.

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Background: Most of our biomedical knowledge is only accessible through texts. The biomedical literature grows exponentially and PubMed comprises over 18.000.000 literature abstracts. Recently much effort has been put into the creation of biomedical ontologies which capture biomedical facts. The exploitation of ontologies to explore the scientific literature is a new area of research. Motivation: When people search, they have questions in mind. Answering questions in a domain requires the knowledge of the terminology of that domain. Classical search engines do not provide background knowledge for the presentation of search results. Ontology annotated structured databases allow for data-mining. The hypothesis is that ontology annotated literature databases allow for text-mining. The central problem is to associate scientific publications with ontological concepts. This is a prerequisite for ontology-based literature search. The question then is how to answer biomedical questions using ontologies and a literature corpus. Finally the task is to automate bibliometric analyses on an corpus of scientific publications. Approach: Recent joint efforts on automatically extracting information from free text showed that the applied methods are complementary. The idea is to employ the rich terminological and relational information stored in biomedical ontologies to markup biomedical text documents. Based on established semantic links between documents and ontology concepts the goal is to answer biomedical question on a corpus of documents. The entirely annotated literature corpus allows for the first time to automatically generate bibliometric analyses for ontological concepts, authors and institutions. Results: This work includes a novel annotation framework for free texts with ontological concepts. The framework allows to generate recognition patterns rules from the terminological and relational information in an ontology. Maximum entropy models can be trained to distinguish the meaning of ambiguous concept labels. The framework was used to develop a annotation pipeline for PubMed abstracts with 27,863 Gene Ontology concepts. The evaluation of the recognition performance yielded a precision of 79.9% and a recall of 72.7% improving the previously used algorithm by 25,7% f-measure. The evaluation was done on a manually created (by the original authors) curation corpus of 689 PubMed abstracts with 18,356 curations of concepts. Methods to reason over large amounts of documents with ontologies were developed. The ability to answer questions with the online system was shown on a set of biomedical question of the TREC Genomics Track 2006 benchmark. This work includes the first ontology-based, large scale, online available, up-to-date bibliometric analysis for topics in molecular biology represented by GO concepts. The automatic bibliometric analysis is in line with existing, but often out-dated, manual analyses. Outlook: A number of promising continuations starting from this work have been spun off. A freely available online search engine has a growing user community. A spin-off company was funded by the High-Tech Gründerfonds which commercializes the new ontology-based search paradigm. Several off-springs of GoPubMed including GoWeb (general web search), Go3R (search in replacement, reduction, refinement methods for animal experiments), GoGene (search in gene/protein databases) are developed.
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Ward, Natalia, and Amber Warren. "“In Search of Peace”: Refugee Experiences in Children’s Literature." Digital Commons @ East Tennessee State University, 2019. https://doi.org/10.1002/trtr.1849.

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The authors closely analyzed 45 children's books featuring characters with refugee backgrounds that had been published since 2013. With the concept of culturally sustaining pedagogy underpinning the review, analysis revealed that these texts are rich and detailed, providing a starting point for discussing the global refugee crisis with students, but they occasionally fall short in providing complex, multidimensional representations of characters’ lives and experiences. A majority of the texts analyzed focus on the journey in search of a safe place to live, whereas very few focus on the complexity of making a life in a new place. The findings highlight the importance of identifying texts that provide complexity, dimension, and specificity in depicting experiences of refugee‐background characters across settings. Opening classrooms to texts about the diversity of refugee experiences invites teachers and their students to critically explore the important global issues of migration, equity, and ways of being human.
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Ratprasartporn, Nattakarn. "CONTEXT-BASED PUBLICATION SEARCH PARADIGM IN LITERATURE DIGITAL LIBRARIES." Case Western Reserve University School of Graduate Studies / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=case1193158452.

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Jacobson, Melvin. "Lillian Hellman's search for truth." Thesis, California State University, Dominguez Hills, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10020189.

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Although Lillian Hellman was obsessed with truth, in her memoirs she often exaggerates, confabulates, and lies. So pervasive was Heliman's penchant for making things up that her reputation as a memoirist has suffered under a deluge of criticism. Hellman personified a era of many societal changes: greater sexual freedom for women, more opportunities for women to work, and television's growing impact on creating celebrities. Foremost, however, central to .Hellman's life was-the advent of McCarthyism, a period she describes in Scoundrel Time Scoundrel Time has drawn more criticism--actually vitriol--than any of her works, possibly because it tells many unwanted truths about that era. Despite her proclivity for fabulation:, Hellman's "stories"--her works of fiction presented as fact--often engage those underlying truths essentially "truer" than her surface fictions.

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Do, Mimi H. "The Search for Modernity: Literature and Vietnamese Nationalism, 1900-1939." Thesis, University of Hawaii at Manoa, 2002. http://hdl.handle.net/10125/7068.

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Karlquist, David Roy. "The Book Look Nook: An informational system literature search program." CSUSB ScholarWorks, 1997. https://scholarworks.lib.csusb.edu/etd-project/1432.

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NcNeer, Elizabeth Bowler. "The Search for Completion in Toni Morrison's "Sula"." W&M ScholarWorks, 1996. https://scholarworks.wm.edu/etd/1539626056.

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Books on the topic "Literature Search"

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Isaac, K. A. Literature search. New Delhi: Concept Pub. House, 1990.

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Finlay, Tom. Motorcycle gangs: A literature search. Toronto: Centre of Criminology, University of Toronto, 1996.

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Tallarico, Tony. Search & find. [New York]: Kidsbooks, 2006.

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Search & find. Chicago, IL: Kidsbooks, 2009.

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Bradshaw, Catherine. Origin and destination studies literature search results. [Olympia]: Washington State Dept. of Transportation, 1999.

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The search for selfhood in modern literature. Houndmills, Basingstoke, Hampshire: Palgrave, 2001.

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Roston, Murray. The Search for Selfhood in Modern Literature. London: Palgrave Macmillan UK, 2001. http://dx.doi.org/10.1057/9780230597174.

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Green, Sara. Wilderness search dogs. Minneapolis, MN: Bellwether Media, 2014.

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Paolo, Ceserani Gian, ed. In search of Pompeii. London: Macdonald, 1985.

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Search for shapes! New York: Sterling, 2009.

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Book chapters on the topic "Literature Search"

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Wong, Tuck Seng, and Kang Lan Tee. "Literature Search." In A Practical Guide to Protein Engineering, 1–10. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-56898-6_1.

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Agger, Peter, Robert S. Stephenson, and J. Michael Hasenkam. "Advanced Literature Search." In A Practical Guide to Biomedical Research, 47–53. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63582-8_6.

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Ehrenbrink, Patrick. "Literature Search—Reactance in Literature." In The Role of Psychological Reactance in Human–Computer Interaction, 37–43. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30310-5_4.

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Frank, Ian. "Planning Literature." In Search and Planning Under Incomplete Information, 27–43. London: Springer London, 1998. http://dx.doi.org/10.1007/978-1-4471-1594-6_3.

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Cottrell, Stella. "Literature search and review." In Dissertations and Project Reports, 77–88. London: Macmillan Education UK, 2014. http://dx.doi.org/10.1007/978-1-137-36427-2_10.

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Dobrkovic, Andrej, Daniel A. Döppner, Maria-Eugenia Iacob, and Jos van Hillegersberg. "Collaborative Literature Search System: An Intelligence Amplification Method for Systematic Literature Search." In Designing for a Digital and Globalized World, 169–83. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91800-6_12.

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Siebert, Daniel K. "Conducting a Timely Literature Search." In Research in Mathematics Education, 17–30. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23505-5_2.

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Rao, Shripada, and Kwi Moon. "Literature Search for Systematic Reviews." In Principles and Practice of Systematic Reviews and Meta-Analysis, 11–31. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71921-0_2.

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Edelheit, Abraham J., and Hershel Edelheit. "The Search for Justice." In Bibliography on Holocaust Literature: Supplement, 334–64. New York: Routledge, 2021. http://dx.doi.org/10.4324/9780429033353-16.

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Fister, Iztok, Xin-She Yang, Dušan Fister, and Iztok Fister. "Cuckoo Search: A Brief Literature Review." In Cuckoo Search and Firefly Algorithm, 49–62. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02141-6_3.

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Conference papers on the topic "Literature Search"

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Ackerman, Michael J. "InfoRAD literature search area." In Medical Imaging 1993, edited by R. Gilbert Jost. SPIE, 1993. http://dx.doi.org/10.1117/12.152864.

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Novacek, Vit, Tudor Groza, and Siegfried Handschuh. "Knowledge-based search for oncological literature." In 2009 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2009. http://dx.doi.org/10.1109/cbms.2009.5255357.

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Jiang, Tianwen, Zhihan Zhang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, and Meng Jiang. "CTGA: Graph-based Biomedical Literature Search." In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2019. http://dx.doi.org/10.1109/bibm47256.2019.8983173.

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Pandey, S., M. D. Kane, and J. A. Springer. "GLASS: Genomic Literature Area Sequence Search." In 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW). IEEE, 2011. http://dx.doi.org/10.1109/bibmw.2011.6112436.

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Chang, Jeffrey T., Soumya Raychaudhuri, and Russ B. Altman. "Including Biological Literature Improves Homology Search." In Proceedings of the Pacific Symposium. WORLD SCIENTIFIC, 2000. http://dx.doi.org/10.1142/9789814447362_0037.

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Shen, Jiaming, Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha, and Jiawei Han. "Entity Set Search of Scientific Literature." In SIGIR '18: The 41st International ACM SIGIR conference on research and development in Information Retrieval. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3209978.3210055.

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Eisenberg, Joshua D., Deya Banisakher, Maria Presa, Kalli Unthank, Mark A. Finlayson, Rene Price, and Shu-Ching Chen. "Toward Semantic Search for the Biogeochemical Literature." In 2017 IEEE International Conference on Information Reuse and Integration (IRI). IEEE, 2017. http://dx.doi.org/10.1109/iri.2017.49.

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Jérmai, Károly. "Publications and Modern Search of the Literature." In MultiScience - XXX. microCAD International Multidisciplinary Scientific Conference. University of Miskolc, 2016. http://dx.doi.org/10.26649/musci.2016.104.

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Si, Zhuyue, Gaokun Dai, and Zhendong Niu. "Literature search framework by analyzing key aspects." In 2016 18th International Conference on Advanced Communication Technology (ICACT). IEEE, 2016. http://dx.doi.org/10.1109/icact.2016.7423479.

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Si, Zhuyue, Gaokun Dai, and Zhendong Niu. "Literature search framework by analyzing key aspects." In 2016 18th International Conference on Advanced Communication Technology (ICACT). IEEE, 2016. http://dx.doi.org/10.1109/icact.2016.7423480.

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Reports on the topic "Literature Search"

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Burcham, Patricia M. Motion Sickness Literature Search. Fort Belvoir, VA: Defense Technical Information Center, May 2002. http://dx.doi.org/10.21236/ada402963.

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Chambers, D., and S. Lehman. Model-based Tomographic Reconstruction Literature Search. Office of Scientific and Technical Information (OSTI), November 2005. http://dx.doi.org/10.2172/900447.

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Burcham, Patricia M. Inadvertent Activation of Controls Literature Search. Fort Belvoir, VA: Defense Technical Information Center, October 1996. http://dx.doi.org/10.21236/ada320277.

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Bunting, Bruce G., Michael Bunce, Teresa L. Barone, and John Morse Storey. FUNGIBLE AND COMPATIBLE BIOFUELS: LITERATURE SEARCH, SUMMARY, AND RECOMMENDATIONS. Office of Scientific and Technical Information (OSTI), April 2011. http://dx.doi.org/10.2172/1081663.

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Brennan, T., and M. Ivanovich. Search of medical literature for indoor carbon monoxide exposure. Office of Scientific and Technical Information (OSTI), December 1995. http://dx.doi.org/10.2172/197823.

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Rench, Michael E. Auditory Workload Assessment. Volume II: Non-Copyrighted Literature Search Results. Fort Belvoir, VA: Defense Technical Information Center, October 2000. http://dx.doi.org/10.21236/ada421309.

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Witting, Peter R., and H. J. Sneck. A Literature Search and Evaluation of Angled Wall Jet Deflection. Fort Belvoir, VA: Defense Technical Information Center, June 1991. http://dx.doi.org/10.21236/ada238938.

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Shapiro, Leonard. Literature Search for New Physical Methods of Biological Aerosol Detection. Fort Belvoir, VA: Defense Technical Information Center, April 1985. http://dx.doi.org/10.21236/ada155883.

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MARTINEZ - GURIDI, G., and P. SAMANTA. LITERATURE SEARCH FOR METHODS FOR HAZARD ANALYSES OF AIR CARRIER OPERATIONS. Office of Scientific and Technical Information (OSTI), July 2002. http://dx.doi.org/10.2172/799475.

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McGee, William W. Chemical Hazards Associated with the Handling of Urethanes: A Literature Search. Fort Belvoir, VA: Defense Technical Information Center, April 1993. http://dx.doi.org/10.21236/ada265904.

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