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1
Boss, Stephen C., and Michael L. Nelson. "Federated Search Tools." Reference Librarian 44, no. 91-92 (October 26, 2005): 139–60. http://dx.doi.org/10.1300/j120v44n91_10.
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Glusker, Ann. "PubMed’s Native Interface Remains the Best Tool for Systematic Searching of its Biomedical Citations." Evidence Based Library and Information Practice 12, no. 2 (June 29, 2017): 166. http://dx.doi.org/10.18438/b88s9k.
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A Review of:
Wildgaard, L. E., & Lund, H. (2016). Advancing PubMed? A comparison of third-party PubMed/Medline tools. Library Hi Tech, 34 (4), 669-684. http://dx.doi.org/doi: 10.1108/LHT-06-2016-0066
Abstract
Objective – To compare the functionality of third-party PubMed tools for searching biomedical citations in PubMed, in the specific context of systematic searching.
Design – Comparative analysis of software functionality.
Setting – Online, freely accessible search software.
Subjects – Sixteen third-party tools for searching and managing the full range of PubMed citations (tools which focused on specific disciplines were not included).
Methods – Tools for analysis were identified in two ways; those discussed in two published articles were used, and a supplementary PubMed search was performed. The initial list of 76 possibilities was assessed for study inclusion on 4 criteria: covering the entire range of PubMed content; being freely available; not limiting to a particular bio-medical discipline; and incorporating online PubMed/MEDLINE content. After assessment, 16 tools were chosen for further analysis (the authors provide a list and description of the tools in their Table I). Each was examined in relation to 11 crucial operational aspects. Result sets were tested against a control (a literature search result set on a particular clinical question which was determined by physicians to yield relevant results, details of which are provided by the authors in an online appendix).
Main Results – The 11 identified aspects related to tool functionality were examined for each tool selected, with results grouped into three sets of factors: 1) supporting the search (field codes, filters, limits and Boolean operators); 2) managing the search (output, related articles, links to articles, number of results, exporting); and 3) documenting the search (saving the search and search history). In some cases, the tests had to be adjusted to accommodate the tool's specifications. In Table II the authors present a grid with the results of the testing, on each of the 11 aspects, for each tool.
The authors found that with many tools it was not straightforward, if even possible, to filter and limit in order to get more specific result sets. Few tools were effective at suggesting related articles within the tool itself, instead linking the user out to PubMed, and only two tools provided the same number of citation results as the comparison PubMed search. In addition, the display of results often made it difficult to assess result sets; and only two tools provided the option to save searches and see search history. Furthermore, due to unexpected tool limitations, it was not possible to assess the relevance of citation result sets delivered by the third-party tools, as compared with the control PubMed search.
Conclusion – Close analysis of the tools studied indicated that they were not created in order to support systematic searches. They lack support for filtering/limiting, saving or exporting searches, which are central functionalities to the work of performing such searches. While some of the tools studied may still be in the early phases of development, and while several of them, in enhancing PubMed searches in particular ways, may suggest additional profitable strategies for performing a systematic search, not one of them can replace the functionalities of the native PubMed interface. It remains the best tool for searching and managing the full range of PubMed citations, for the purposes of performing systematic searches.
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Goodsett, Mandi. "Discovery search tools: a comparative study." Reference Reviews 28, no. 6 (August 12, 2014): 2–8. http://dx.doi.org/10.1108/rr-12-2013-0312.
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Purpose – This review allows librarians to compare three of the major discovery services – EBSCO Discovery Service, Ex Libris’ Primo and Serials Solutions’ Summon – on the basis of price, content, user experience, features and functionality and back-end configuration to make informed decisions about the best tool for their institutions. Design/methodology/approach – The comparisons were made through a literature review, study of the vendors’ websites, several interviews and personal usability testing of each tool. Findings – The tools each have their strengths and weaknesses, and a decision of which tool is most appropriate for an institution varies depending on the institution’s needs and current situation. Originality/value – A literature review shows that no study has yet been conducted comparing these three discovery tools, and few comparative studies of discovery tools have been published recently.
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MUMINOV, BAHODIR, and Ulugbek Bekmurodov. "FVS-TECHNOLOGY: INTELLECTUAL SEARCH TOOLS." IIUM Engineering Journal 22, no. 1 (January 4, 2021): 118–28. http://dx.doi.org/10.31436/iiumej.v22i1.1389.
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It is enough to have 3 basic stages of the modules in the SPD of a diversified corporate network: (F) - the method of submitting the request, i.e. the method of forming the expression of the information needs of the system user (S) - the function of the correspondence of the electronic resource to the request degree of compliance with the request and the found electronic resource; (V) - method of presenting electronic resources. Combining these three stages for models, methods, and software modules of the AML, is referred to as FSV technology (FSV platform, FSV Framework). FSV technology is an instrumental software platform based on a client-server architecture, integration and modification of models, and methods and algorithms of AML in the information environment of corporate networks. The following architecture has been developed for the FSV technology proposed for the search index in data retrieval systems. ABSTRAK: Tiga peringkat asas modul adalah cukup dalam pelbagai rangkaian korporat SPD iaitu: (F) - kaedah penyerahan permintaan, kaedah membentuk ungkapan keperluan maklumat pengguna sistem (S) - fungsi surat-menyurat sumber elektronik bagi permintaan tahap pematuhan permintaan dan sumber elektronik yang dijumpai; (V) - kaedah penyampaian sumber elektronik. Gabungan tiga peringkat model, kaedah dan modul perisian AML, dipanggil teknologi FSV (platform FSV, rangka FSV). Teknologi FSV adalah platform perisian instrumen berdasarkan seni bina pelanggan-pelayan, integrasi dan pengubah suaian model, kaedah-kaedah dan algoritma AML dalam persekitaran maklumat dalam rangkaian korporat. Seni bina ini telah di bina bagi teknologi FSV yang dicadangkan bagi indeks carian dalam sistem dapatan data.
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Sparks, Susan. "Connecting to Internet -Search Tools." International Nursing Review 45, no. 6 (November 1998): 192. http://dx.doi.org/10.1046/j.1466-7657.45.no.6issue342.9.x.
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Sparks, Susan. "Connecting to Internet-Search Tools." International Nursing Review 46, no. 2 (March 1999): 64. http://dx.doi.org/10.1046/j.1466-7657.45.no.6issue342.9.x-i2.
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Sparks, Susan. "Connecting to Internet-Search Tools." International Nursing Review 46, no. 5 (January 31, 2003): 160. http://dx.doi.org/10.1111/j.1600-0668.1996.00012.x-i1.
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Kimmel, Stacey. "WWW Search Tools in Reference Services." Reference Librarian 27, no. 57 (September 29, 1997): 5–20. http://dx.doi.org/10.1300/j120v27n57_02.
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Boykin, Priscilla. "Excellent Article on Web Search Tools." Image: the Journal of Nursing Scholarship 31, no. 1 (March 1999): 10. http://dx.doi.org/10.1111/j.1547-5069.1999.tb00409.x.
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LeBeau, Brandon. "pdfsearch: Search Tools for PDF Files." Journal of Open Source Software 3, no. 27 (July 8, 2018): 668. http://dx.doi.org/10.21105/joss.00668.
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Ebnehoseini, Zahra. "HEALTH INFORMATION SEARCH ENGINE THE NEW TOOLS OF HEALTH LITERACY." Medical Technologies Journal 1, no. 4 (November 29, 2017): 107. http://dx.doi.org/10.26415/2572-004x-vol1iss4p107-107.
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Introduction:
Access to Health Information is very essential for promoting health literacy, self-care, shared decision making, medication adherence. The Internet is one of the main resources of health information. Many studies showed the main gateway for seeking health information was search engines. But finding qualified health information is a challenge. Therefore, this study aimed to introduce top health Searches engines and review their features.
Methods:
According to the literature review, 10 health Searches engines were selected. Common features of each search engine, such as the ability to create profiles, the type of health information provided, target users, health information sources contained in the search engine, and the unique feature and other features, were reviewed and the comparison table was provided. A common search scenario was also tested on all search engines and the result of the data retrieval was reported by the search engine.
Results:
health Searches engine like that PubMed، Med scape، McGraw-Hill Medical، iMediSearch، medicin.net, Hardin.Md، Health line ، EMedicine، Merck and Ovid were chosen and reported.
Conclusion:
The results of this study can help users such as patient to choose a valid health searches engine and also help them to find health searches engine appropriate for their health problem and know what features in health website is important.
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Charalambous, Anna Pavlina, Annie Pye, Wai Kent Yeung, Iracema Leroi, Malcolm Neil, Chryssoula Thodi, and Piers Dawes. "Tools for App- and Web-Based Self-Testing of Cognitive Impairment: Systematic Search and Evaluation." Journal of Medical Internet Research 22, no. 1 (January 17, 2020): e14551. http://dx.doi.org/10.2196/14551.
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Background Tools for app- and Web-based self-testing for identification of cognitive impairment are widely available but are of uncertain quality. Objective The objective of this study was to undertake a scoping review of app- and Web-based self-tests for cognitive impairment and determine the validity of these tests. Methods We conducted systematic searches in electronic databases, including Google search, Google Play Store, and iPhone Operating System App Store, using the search terms “Online OR Internet-based AND Memory OR Brain OR Dementia OR mild cognitive impairment OR MCI AND Test OR Screen OR Check.” Results We identified 3057 tools, of which 25 were included in the review. Most tools meeting the inclusion criteria assessed multiple cognitive domains. The most frequently assessed domains were memory, attention, and executive function. We then conducted an electronic survey with the developers of the tools to identify data relating to development and validation of each tool. If no response to the survey was received, Google (to identify gray literature), Google Scholar, and Medical Literature Analysis and Retrieval System Online were searched using key terms “(name of developer, if available)” AND “(the name of the tool)” to identify any additional data. Only 7 tools had any information concerning psychometric quality, and only 1 tool reported data on performance norms, reliability, validity, sensitivity, and specificity for the detection of cognitive impairment. Conclusions The number of cognitive self-assessment electronic health tools for cognitive impairment is increasing, but most are of uncertain quality. There is a need for well-validated tools and guidance for users concerning which tools provide reliable information about possible cognitive impairment that could warrant further investigation.
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Deiss, Kathryn. "Databases: artful reference tools or convenient alibis?" Art Libraries Journal 13, no. 2 (1988): 24–26. http://dx.doi.org/10.1017/s0307472200005654.
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As compared to card catalogs, the content and extent of the online database is not apparent; parts of it become visible only in response to appropriate search strategies. When searches are conducted by librarians on behalf of researchers, the researcher is dependent on the librarian’s expertise and on his or her interpretation of the researcher’s requirements. Remote from the data, and at a remove from the search process, the researcher cannot be certain that the results (if any) are the product of an adequate search. Only first class performance, enabled by subject knowledge as well as technical proficiency, involving imagination and serendipity, and facilitated and sustained by sympathetic management, will inspire confidence in online reference services.
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Bussert, Leslie. "Millennial Students’ Online Search Strategies are Associated With Their Mental Models of Search." Evidence Based Library and Information Practice 6, no. 3 (September 14, 2011): 77. http://dx.doi.org/10.18438/b8wp7c.
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Objective – To examine first-year college students’ information seeking behaviours and determine whether their mental models of the search process influence their ability to effectively search for and find scholarly materials.
Design – Mixed methods including contextual inquiry, concept mapping, observation, and interviews.
Setting – University of Baltimore, a public institution in Maryland, United States of America, offering undergraduate, graduate, and professional degrees.
Subjects – A total of 21 first-year undergraduate students, ages 16 to 19 years, undertaking research assignments for which they chose to use online resources.
Methods – First-year students were recruited in the fall of 2008 and met with the researcher in a university usability lab for about one hour over a three week period. The researcher observed and videotaped the students as they conducted research in their chosen search engines or article databases. The searches were captured using software, and students were encouraged to think aloud about their research process, search strategies, and anticipated search results. Observation sessions concluded with a 10-question interview incorporating a review of the keywords the student used, the student’s reflection on the success of his or her searches, and possible alternate keywords. The interview also offered prompts to help the researcher learn about students’ conceptualizations of search tools’ utilization of keywords to generate results. The researcher then asked the students to provide a visual diagram of the relationship between their search terms and the items retrieved in the search tool.
Data were analyzed by identifying the 21 different search tools used by the students and categorizing all 210 searches and student diagrams for further analysis. A scheme similar to Guinee, Eagleton, and Hall’s (2003) characterized the student searches into four categories: simple single-term searches, topic plus focus searches, phrase searches, and advanced searches employing multiple Boolean operators. Students’ diagrams were put into three different groups: process view, hierarchical view, and network view. The researcher then analyzed the relationships between the students’ search behaviours and their mental models to develop further conclusions.
Main Results – Analysis revealed that this population of students had a limited mental model of the search process and used narrow sets of fairly simple search strategies for retrieving information online.
Search engines were used for the majority (61.9%) of total searches and 72.3% of those conducted in search engines were in Google. The majority of students (76%) began their search process with a search engine while other students began searching in online encyclopedias (10%) or online databases (14%). Academic Search Premiere was used for 73.8% of the database searches. Some students (5%) also performed searches in individual websites (6.3%), for an overall total of 224 searches conducted.
Students performed four varieties of searches: simple searches using short phrases conveying a single concept (34% of total searches); topic plus focus searches using a single Boolean AND (30%); phrase searches consisting of multiple-word descriptive phrases or sentence fragments (17.4%); and advanced Boolean searches combining two or more distinct concepts (13.8%). Generally, students used the same search terms and structure whether they were in a search engine or database, particularly with phrase searches. Nearly 71% of the advanced Boolean searches were inappropriately formed, particularly when used in the databases. Of the few students employing Boolean logic beyond a single AND, only two used it correctly, and only one with successful results.
Students were unable to recognize or explain why a search failed or why they got the results they did. They made frequent incorrect use of punctuation, spelling, and syntax, leading to limited or no search results. Students assumed that obtaining few results indicated a problem of keyword choices rather than search query structure. When faced with no results in the databases, they assumed there were no articles on their topics and did not re-evaluate their search queries. Those with unsuccessful Boolean searches did not recognize that their errors were due to logic, and instead changed their keywords or began a new search altogether.
Several students understood keywords as concepts versus literal strings of letters, yet thought the search tools determined search results based solely on what was typed into the search box. Of those employing phrase searches, some believed that each word was queried, while others thought only the “primary terms” were queried. Most students (61%) offered analogies to print resources to explain how search engines process queries, and all the students’ descriptions included their ideas about what a search tool contained, rather than how the search tools organized information.
Attempts to expand or narrow searches were haphazard. While most students (57%) employed the strategy of adding keywords to narrow searches, only a few (11%) recognized the function of this technique and used it regularly, while others tended to return to their original broad searches in a different tool. Some had a limited understanding that adding terms narrows and reducing terms broadens the search, but their Boolean errors negated the use of synonyms or alternative terms for those purposes. Other strategies included using the search tool’s “advanced search” features or quotes, although all who used the latter did so incorrectly and some mistakenly thought parentheses served the same purpose.
All subjects drew representations of their views of the relationship between keywords used and search results retrieved, though few were able to clearly visualize how a search engine processes a query, or address ideas such as expanding or narrowing searches or synonym use. Three categories of diagrams emerged: the process view, hierarchical view, and network view. The process view displayed a task flow diagram. These students demonstrated the least formed mental models and experienced the search tool as a “black box” that gives results, showing little understanding of how they are generated. They performed the fewest overall searches (11.6%), the majority (79%) of which were simple or phrase searches with no use of Boolean operators. The hierarchical view displayed a broad subject with subtopics, or results highlighting specific aspects of the subject. These students performed nearly 30% of the total searches, 17% of which included the use of Boolean logic. The network view displayed models of interconnected terms. These students performed the majority of the searches (58.7%), and also constructed the most sophisticated queries. Many of their searches employed Boolean logic (83%), and 65% were either Boolean or topic plus focus searches. Students with this mental model tended to focus more on the queries themselves than the results received.
Students indicated feelings of success in their searching and were comfortable relying on simple searches retrieving large results sets. While not central to the research design or driving questions, students’ evaluation of search results was observed and found to be weak. Students displayed rapid searching, scanning, and evaluation processes which may have played a role in many of their mistakes when repeating or attempting to correct faulty searches.
Conclusion – The results show students did not have strong conceptual models of the search process or how search queries impacted results, and were often unable to recognize or troubleshoot problems with searches in order to improve results. Students displaying stronger mental models used more complex search strategies, but still performed unsuccessful searches and demonstrated challenges in remedying defective searches. Students skimmed search results quickly, rarely looking beyond the first two pages, and did not take time to evaluate them for topic relevance. The findings suggest that librarians should rethink how Millennial students are taught search strategies and evaluation, to focus more on problem solving or critical thinking. They also suggest that database developers should continue developing search algorithms and tools, considering this population’s conceptualizations of search. Further research on Millennials’ information processing, critical thinking, and evaluation skills in the context of academic work is needed.
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Bourke, Dick. "Search …and find." Mechanical Engineering 135, no. 09 (September 1, 2013): 46–49. http://dx.doi.org/10.1115/1.2013-sep-3.
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This article focuses on different software tools that give engineers a quick access to product information. Software tools help access data generated during the product development process. Known as a search-based application or as unified information access, these tools use elements of semantic technology—machine-based recognition of meanings and relationships in text—to find information stored throughout a company’s multiple sources of data, including computer-aided design files and product lifecycle management systems. These software tools perform three functions: search, discover, and analyze. Search applications reduce the risks of using incomplete information when making product development decisions. Another type of search technology to consider is geometric-based search that pinpoints relevant parts based on shape. A company’s software selection criteria must encompass the informational needs of all product development activities throughout the enterprise. These activities include design engineering, manufacturing process planning, and quality control.
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Curtin, Patrick, Alexandra Conway, Liu Martin, Eugenia Lin, Prakash Jayakumar, and Eric Swart. "Compilation and Analysis of Web-Based Orthopedic Personalized Predictive Tools: A Scoping Review." Journal of Personalized Medicine 10, no. 4 (November 12, 2020): 223. http://dx.doi.org/10.3390/jpm10040223.
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Web-based personalized predictive tools in orthopedic surgery are becoming more widely available. Despite rising numbers of these tools, many orthopedic surgeons may not know what tools are available, how these tools were developed, and how they can be utilized. The aim of this scoping review is to compile and synthesize the profile of existing web-based orthopedic tools. We conducted two separate PubMed searches—one a broad search and the second a more targeted one involving high impact journals—with the aim of comprehensively identifying all existing tools. These articles were then screened for functional tool URLs, methods regarding the tool’s creation, and general inputs and outputs required for the tool to function. We identified 57 articles, which yielded 31 unique web-based tools. These tools involved various orthopedic conditions (e.g., fractures, osteoarthritis, musculoskeletal neoplasias); interventions (e.g., fracture fixation, total joint arthroplasty); outcomes (e.g., mortality, clinical outcomes). This scoping review highlights the availability and utility of a vast array of web-based personalized predictive tools for orthopedic surgeons. Increased awareness and access to these tools may allow for better decision support, surgical planning, post-operative expectation management, and improved shared decision-making.
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Mohamed, Khaled A., and Ahmed Hassan. "Evaluating Federated Search Tools : A Comparative Study." المجلة الدولية لعلوم المكتبات و المعلومات 1, no. 1 (June 2014): 145–75. http://dx.doi.org/10.12816/0010470.
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Machles, David. "Using Basic Search Tools on the Internet." AAOHN Journal 46, no. 11 (November 1998): 557–58. http://dx.doi.org/10.1177/216507999804601107.
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MacHles, David. "Using Basic Search Tools on the Internet." AAOHN Journal 46, no. 11 (November 1998): 557–58. http://dx.doi.org/10.1177/216507999804601109.
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Efthimiadis, Efthimis N., Allison Druin, Efthimis N. Efthimiadis, and Andrew Large. "Understanding visual search tools through users' reactions." Proceedings of the American Society for Information Science and Technology 45, no. 1 (2008): 1–4. http://dx.doi.org/10.1002/meet.2008.1450450125.
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Schoenfeld, Adam J., and Robert M. Wachter. "The Search for Better Patient Handoff Tools." JAMA Internal Medicine 176, no. 9 (September 1, 2016): 1402. http://dx.doi.org/10.1001/jamainternmed.2016.4263.
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Kremer and Gerrit. "Search for tools using the mobile application." Glavnyj mekhanik (Chief Mechanic), no. 12 (December 1, 2020): 39–41. http://dx.doi.org/10.33920/pro-2-2012-04.
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This article provides information about the program released by Seco Tools. The Seco Assistant mobile app provides all the necessary data about the products and tools without having to search the catalog, even without an Internet access. The application with a simple interface is designed with an emphasis on maximum usability and takes up a small amount of phone memory. The presented program will be useful for the chief mechanic's services and will reduce the search for the necessary tools.
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Mahdi, Mohammed Najah, Abdul Rahim Ahmad, and Roslan Ismail. "Evaluating Search Results in Exploratory Search." International Journal of Engineering & Technology 7, no. 4.35 (November 30, 2018): 276. http://dx.doi.org/10.14419/ijet.v7i4.35.22746.
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The volume of information available on the World Wide Web is quite significant. This plethora of information has, to a large extent constantly challenged researchers in seeking for ways of making the information easily accessible to end users in as convenient ways as possible. Characteristically, ensuring the accessibility of this large amount of information involves three all-encompassing processes of retrieval, organization and presentation. The World Wide Web offers a platform for sharing information from large database repositories globally. However, information needs to be searched with specialized tools commonly referred to as search engines. While a number of search engines does presently exist, most of these search engines are noted for their inability to retrieve information usable to the end user. It is therefore critical for the results generated from search engines to be intelligently organized for the optimal usefulness of the information to the searcher. Exploratory web technologies is capable of filing this gap. Therefore, this paper reviews exploratory search as a mechanism for conducting result-oriented search. It also reviews the ways of evaluating the search results obtained from an exploratory search.
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UREN, VICTORIA, YUANGUI LEI, VANESSA LOPEZ, HAIMING LIU, ENRICO MOTTA, and MARINA GIORDANINO. "The usability of semantic search tools: a review." Knowledge Engineering Review 22, no. 4 (December 2007): 361–77. http://dx.doi.org/10.1017/s0269888907001233.
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AbstractThe goal of semantic search is to improve on traditional search methods by exploiting the semantic metadata. In this paper, we argue that supporting iterative and exploratory search modes is important to the usability of all search systems. We also identify the types of semantic queries the users need to make, the issues concerning the search environment and the problems that are intrinsic to semantic search in particular. We then review the four modes of user interaction in existing semantic search systems, namely keyword-based, form-based, view-based and natural language-based systems. Future development should focus on multimodal search systems, which exploit the advantages of more than one mode of interaction, and on developing the search systems that can search heterogeneous semantic metadata on the open semantic Web.
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Joint, Nicholas. "Managing the implementation of a federated search tool in an academic library." Library Review 58, no. 1 (February 6, 2009): 11–16. http://dx.doi.org/10.1108/00242530910928898.
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PurposeThe purpose of this paper is to look at some of the broader design and management issues that occur during the implementation of a federated search tool in a modern academic library, and tries to tease out some of the background concepts that librarians should consider.Design/methodology/approachAn overview of the main advantages and disadvantages of federated search tools in comparison with existing library tools and internet search engines such as Google.FindingsA successful implementation of a federated search engine was found to depend on a radical approach which subordinates other existing library search tools to the new one‐stop search engine. This new search interface must in turn be designed for simplicity, and not to mimic existing, overly complex library information retrieval devices.Research limitations/implicationsThe emphasis is on the softer, general aspects of managing search tool implementation, rather than the hard, technical side. So, this paper may be best read in tandem with a specific description of a search tool implementation, which describes some of the technical “back office” aspects of federated search. Research developments in these technical areas may well soon lead to the elimination of some of the negative aspects which this paper presents to the non‐technical library manager simply as a “given”.Practical implicationsThis paper outlines many of the practical challenges in search tool implementation which librarians might otherwise not anticipate.Originality/valueThe approach in this investigation is to present the broader implications of search tool implementation in a way that is stripped of technical complexity, in order to show the larger management issues as clearly as possible.
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Matt, Holland, Dutton Michelle, and Glover Steve. "Tools, techniques and sources: searching major bibliographic databases." Journal of Paramedic Practice 13, no. 8 (August 2, 2021): 1–8. http://dx.doi.org/10.12968/jpar.2021.13.8.cpd2.
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This three-part module covers the tools and techniques of searching and sources for research in paramedicine. Part I covers basic search tools and techniques that are widely used in bibliographic databases such as MEDLINE and CINAHL. Part II looks at sources of research and provides you with an approach to searching that are most likely to lead to a successful outcome for your search. Part III takes you through sources of research you might consider after you have searched established sources. There is guidance on how to approach sources critically to avoid junk or predatory publications.
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Shelar, Vaibhav, Selamani Subramani, and Jebaseelan Davidson. "R-tree data structure implementation for Computer Aided Engineering (CAE) tools." International Journal for Simulation and Multidisciplinary Design Optimization 12 (2021): 6. http://dx.doi.org/10.1051/smdo/2021005.
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Searching and handling geometric data are basic requirements of any Computer Aided Engineering application (CAE). Spatial search and local search has greater importance in CAD and CAE applications for reducing the model preparation time. There are many efficient algorithms being made to search geometrical data. Current neighbour search strategy is limited and not efficient in different CAE platforms. R-tree is tree data structure used for spatial access methods. This paper presents a review of R-tree data structure with its implementation in one of the CAE tool for neighbour search and local search. It satisfies current neighbour search requirements in CAE tools. Results shows considerable amount of time saving compared to the conventional approach. This work concludes that R-tree implementation can be helpful in identifying neighbour part and reducing model preparation time in CAD and CAE tools.
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Sulima, Igor I. "Social philosophy of science in search of tools." Epistemology & Philosophy of Science 54, no. 4 (2017): 30–33. http://dx.doi.org/10.5840/eps201754463.
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Savina, Olga Yu. "INTEGRATION OF LINGUISTIC SEARCH TOOLS FOR DIDACTIC PURPOSES." Voprosy leksikografii, no. 10(2) (December 1, 2016): 55–66. http://dx.doi.org/10.17223/22274200/10/4.
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Maksimov, Nikolay, Olga Golitsina, Kirill Monankov, and Anastasia Gavrilkina. "Knowledge Representation Models and Cognitive Search Support Tools." Procedia Computer Science 169 (2020): 81–89. http://dx.doi.org/10.1016/j.procs.2020.02.118.
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Kline, Vickie. "Missing links: the quest for better search tools." Online Information Review 26, no. 4 (August 2002): 252–55. http://dx.doi.org/10.1108/14684520210438723.
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Lee, Iris J., and Michael P. Madaio. "Search for useful tools: biomarkers in lupus nephritis." Future Rheumatology 3, no. 1 (February 2008): 1–6. http://dx.doi.org/10.2217/17460816.3.1.1.
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Mohamed, Khaled A., and Ahmed Hassan. "Evaluating federated search tools: usability and retrievability framework." Electronic Library 33, no. 6 (November 2, 2015): 1079–99. http://dx.doi.org/10.1108/el-12-2013-0211.
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Fang, Xiaowen, and Gavriel Salvendy. "Templates for Search Queries: A User-Centered Feature for Improving Web Search Tools." International Journal of Human–Computer Interaction 11, no. 4 (December 1999): 301–15. http://dx.doi.org/10.1207/s15327590ijhc1104_2.
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Takemoto, Michelle, Suneeta Godbole, Dori E. Rosenberg, Camille Nebeker, Loki Natarajan, Hala Madanat, Jeanne Nichols, and Jacqueline Kerr. "The search for the ejecting chair: a mixed-methods analysis of tool use in a sedentary behavior intervention." Translational Behavioral Medicine 10, no. 1 (November 25, 2018): 186–94. http://dx.doi.org/10.1093/tbm/iby106.
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Abstract Research is needed on interventions targeting sedentary behavior with appropriate behavior-change tools. The current study used convergent sequential mixed methods (QUAN + qual) to explore tool use during a edentary behavior intervention. Data came from a two-arm randomized sedentary behavior pilot intervention. Participants used a number of intervention tools (e.g., prompts and standing desks). Separate mixed-effects regression models explored associations between change in number of tools and frequency of tool use with two intervention targets: change in sitting time and number of sit-to-stand transitions overtime. Qualitative data explored participants’ attitudes towards intervention tools. There was a significant relationship between change in total tool use and sitting time after adjusting for number of tools (β = −12.86, p = .02), demonstrating that a one-unit increase in tool use was associated with an almost 13 min reduction in sitting time. In contrast, there was a significant positive association between change in number of tools and sitting time after adjusting for frequency of tool use (β = 63.70, p = .001), indicating that increasing the number of tools without increasing frequency of tool use was associated with more sitting time. Twenty-four semistructured interviews were coded and a thematic analysis revealed four themes related to tool use: (a) prompts to disrupt behavior; (b) tools matching the goal; (c) tools for sit-to-stand were ineffective; and (d) tool use evolved over time. Participants who honed in on effective tools were more successful in reducing sitting time. Tools for participants to increase sit-to-stand transitions were largely ineffective. This study is registered at clincialtrials.gov. Identifier: NCT02544867
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Takabatake, Kazuki, Kazuki Izawa, Motohiro Akikawa, Keisuke Yanagisawa, Masahito Ohue, and Yutaka Akiyama. "Improved Large-Scale Homology Search by Two-Step Seed Search Using Multiple Reduced Amino Acid Alphabets." Genes 12, no. 9 (September 21, 2021): 1455. http://dx.doi.org/10.3390/genes12091455.
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Metagenomic analysis, a technique used to comprehensively analyze microorganisms present in the environment, requires performing high-precision homology searches on large amounts of sequencing data, the size of which has increased dramatically with the development of next-generation sequencing. NCBI BLAST is the most widely used software for performing homology searches, but its speed is insufficient for the throughput of current DNA sequencers. In this paper, we propose a new, high-performance homology search algorithm that employs a two-step seed search strategy using multiple reduced amino acid alphabets to identify highly similar subsequences. Additionally, we evaluated the validity of the proposed method against several existing tools. Our method was faster than any other existing program for ≤120,000 queries, while DIAMOND, an existing tool, was the fastest method for >120,000 queries.
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Shahzad, Asim, Deden Witarsyah Jacob, Nazri Mohd Nawi, Hairulnizam Mahdin, and Marheni Eka Saputri. "The new trend for search engine optimization, tools and techniques." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 3 (June 1, 2020): 1568. http://dx.doi.org/10.11591/ijeecs.v18.i3.pp1568-1583.
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<span>Search Engines are used to search any information on the internet. <br /> The primary objective of any website owner is to list their website at the top of all the results in Search Engine Results Pages (SERPs). Search Engine Optimization is the art of increasing visibility of a website in Search Engine Result Pages. This art of improving the visibility of website requires the tools and techniques; This paper is a comprehensive survey of how a Search Engine (SE) works, types and parts of Search Engine and different techniques and tools used for Search Engine Optimization (SEO.) In this paper, we will discuss the current tools and techniques in practice for Search Engine Optimization.</span>
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Key, Julie. "How to undertake a literature search: enhancing your search." British Journal of Nursing 29, no. 8 (April 23, 2020): 481–83. http://dx.doi.org/10.12968/bjon.2020.29.8.481.
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This article follows on from a previous article on how to carry out a literature search ( Watson, 2020 ) and looks at how you can enhance your search by going beyond journal databases to using search engines, websites and grey literature sources. Ways to evaluate the resources you find, the use of critical appraisal tools and factors to consider when presenting your results are also discussed.
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Shivakumar, Shailesh Kumar. "A Survey and Taxonomy of Intent-Based Code Search." International Journal of Software Innovation 9, no. 1 (January 2021): 69–110. http://dx.doi.org/10.4018/ijsi.2021010106.
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In this paper, the authors introduce the novel concept of intent-based code search that categorizes code search goals into a hierarchy. They will explore state-of-the-art techniques in source code search covering various tools, techniques, and algorithms related to source code search. They will survey the code search field through the core use cases of code search such as code reusability, code understanding, and code repair. They propose a user intent-based taxonomy based on the code search goals. The code search goal taxonomy is derived based on deep analysis of literature survey of code search, and the taxonomy is validated based on their exclusive developer survey conducted as part of this paper. The code search goal taxonomy is based on logical categorization of code search goals and shared characteristics (query type, expected response, and such) for each of the categories in the taxonomy. The paper also details the latest trends and surveys the code search tools and the implications on tool design.
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Arndt, Theresa. "Residents and Medical Students Correctly Answer Clinical Questions More Often with Google and UpToDate than With PubMed or Ovid MEDLINE." Evidence Based Library and Information Practice 6, no. 2 (June 24, 2011): 39. http://dx.doi.org/10.18438/b8bw4b.
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Objective – To determine which search tool (Google, UpToDate, PubMed or Ovid-MEDLINE) produces more accurate answers for residents, medical students, and attending physicians searching on clinical questions in anesthesiology and critical care. Searcher confidence in the answers and speed with which answers were found were also examined.
Design – Randomized study without a control group.
Setting – Large university medical center.
Subjects –Subjects included 15 fourth year medical students (third and fourth year), 35 residents, and 4 attending physicians volunteered and completed the study. One additional attending withdrew halfway through the study. The authors were unsuccessful in recruiting an equal number of subjects from each group.
Methods – A set of eight anesthesia and critical care questions was developed, based on their commonality and importance in clinical practice and their answerability. Four search tools were employed: Google, UpToDate, PubMed, and Ovid MEDLINE. In part I, subjects were given a random set of four of the questions to answer with the search tool(s) of their choice, but could use only one search tool per question. In part II, several weeks later, the same subjects were randomly assigned a search tool with which to answer all 8 questions. The authors state that “for data analysis, PubMed was arbitrarily chosen to be the “reference standard.”” Statistical analysis was used to identify significant differences between PubMed and the other search tools.
Main Results – Part I: Subjects choosing a search tool were more likely to find a correct answer with Google or UpToDate. There were no statistically significant differences in confidence with answers between any of the search tools and PubMed.
Part II: Though subjects were assigned a search tool, some questions were repeated from part I. For repeated questions, Ovid users (compared to PubMed users) were significantly less likely to find the correct answer for repeated questions. Otherwise, there was no statistically significant difference in questions answered correctly. Confidence did not differ. When asked to answer new questions, subjects using Google and UpToDate were significantly more likely to find a correct answer than PubMed users. UpToDate users were more confident. There was no statistical difference in primary outcome (correct answer with high confidence) between Google, Ovid, and PubMed.
Pooled data from parts I and II, removing repeated questions: Subjects using Google and UpToDate were more likely to find correct answers. Confidence was highest among UpToDate users. Average search time per question (limited to 5 minutes per question) in ascending order of time spent was: UpToDate, Google, PubMed, and Ovid.
Conclusion – While the number of participants is small, the results suggest that the popular search engine Google and the commercially produced secondary online source UpToDate are more useful and efficient for finding answers to questions arising in anesthesiology and critical care practice than tools focused exclusively on indexing the primary literature.
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Parker, Robin MN, and Maggie J. Neilson. "Lost in Translation: Supporting learners to search comprehensively across databases." Journal of the Canadian Health Libraries Association / Journal de l'Association des bibliothèques de la santé du Canada 36, no. 2 (August 1, 2015): 54. http://dx.doi.org/10.5596/c15-014.
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<strong>Abstract: Introduction:</strong> Health sciences librarians play the key role of expert searcher for knowledge synthesis research projects. When students and trainees conduct systematic reviews as academic assignments, academic librarians train learners to search comprehensively for evidence in multiple sources. <strong>Description:</strong> The authors created an electronic toolkit with handouts and a video tutorial to support instruction on translating search strategies to various databases. <strong>Outcomes:</strong> The toolkit was well received by users, who provided constructive feedback and reported an increase in comfort with translating searches. Refinements based on the assessment results will improve the tools and supplemental resources will address some gaps in coverage. Most users still expressed the need to consult with a librarian for further training and review of their searches. <strong>Discussion:</strong> Trainees who need to conduct their own comprehensive searches for academic work will benefit from a variety of training tools to suit different levels of experience and learning styles. Electronic instructional resources such as handouts and videos can effectively supplement hands-on training and feedback from a health sciences librarian.
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Engelen, Annelies, Joke Vanderhaegen, Hendrik Van Poppel, and Chantal Van Audenhove. "Patients’ views on using decision support tools: a systematic review." European Journal for Person Centered Healthcare 4, no. 1 (June 24, 2016): 61. http://dx.doi.org/10.5750/ejpch.v4i1.1064.
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Background, aims and scope: Decision support tools assist patients in medical decision-making. However, implementing these tools in practice is challenging. We systematically reviewed barriers and facilitators to using decision support tools, as perceived by patients. Methods: A systematic search of scientific articles was performed in MEDLINE, CENTRAL, EMBASE and CINHAL databases. Search strategies combined pre-defined free-text words and MeSH, or database equivalent, derived from the following broad topic areas: decision support tools, barriers and facilitators, use or implementation and user perceptions. Eligible studies qualitatively presented patients’ views on using tools. These views were thematically analyzed, starting from an existing taxonomy of barriers to and facilitators of the implementation of healthcare innovations. Results: Electronic searches yielded a total of 7067 unique references; 365 full-text articles were retrieved, of which 33 publications met the inclusion criteria. Seven additional publications were included after reference searching. Key descriptive themes were classified in three broad categories of tool-, user- and environment-related barriers and facilitators. The most commonly identified themes were perceived usefulness, ease of use, the health professional-patient relationship, quality and quantity of information and need as motivation to use tools.Conclusions: Patients express a need for decision support, but experience obstacles to using tools. The two most common, attitude-related, barriers to tool use were the perceived difficulty of using a tool and its dubious efficacy. The results of this review can support researchers in the design of development and evaluation strategies that specifically address the identified barriers and facilitators and thus further the implementation of decision support tools.
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Chen, Ying, Weicai Ye, Yongdong Zhang, and Yuesheng Xu. "High speed BLASTN: an accelerated MegaBLAST search tool." Nucleic Acids Research 43, no. 16 (2015): 7762–68. http://dx.doi.org/10.1093/nar/gkv784.
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Abstract Sequence alignment is a long standing problem in bioinformatics. The Basic Local Alignment Search Tool (BLAST) is one of the most popular and fundamental alignment tools. The explosive growth of biological sequences calls for speedup of sequence alignment tools such as BLAST. To this end, we develop high speed BLASTN (HS-BLASTN), a parallel and fast nucleotide database search tool that accelerates MegaBLAST—the default module of NCBI-BLASTN. HS-BLASTN builds a new lookup table using the FMD-index of the database and employs an accurate and effective seeding method to find short stretches of identities (called seeds) between the query and the database. HS-BLASTN produces the same alignment results as MegaBLAST and its computational speed is much faster than MegaBLAST. Specifically, our experiments conducted on a 12-core server show that HS-BLASTN can be 22 times faster than MegaBLAST and exhibits better parallel performance than MegaBLAST. HS-BLASTN is written in C++ and the related source code is available at https://github.com/chenying2016/queries under the GPLv3 license.
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Newman, John, Jingxia Lin, Terry Butler, and Eric Zhang. "The Wenzhou Spoken Corpus." Corpora 2, no. 1 (May 2007): 97–109. http://dx.doi.org/10.3366/cor.2007.2.1.97.
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The creation of the Wenzhou Spoken Corpus, an online searchable corpus of a modern Chinese dialect, presents a number of challenges that are of interest to the corpus linguistic community. We review issues involved with collection of spoken data, its transcription and markup, as well as the functionality of the search tools. The transcription makes use of Chinese characters as well as IPA symbols for Wenzhou colloquial forms not conventionally represented by characters. XML was adopted as the standard for the basic format of files, with file searches expressed in XPath form. The search tools provide the usual options of restricting searches by age, gender, etc., and yield concordances and tables of collocates. Though the collection of data for the corpus was ‘opportunistic’ in some ways, and so not ideally balanced or representative, it is nevertheless proving to be a valuable tool for corpus-based research on Wenzhou.
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Holland, Matt, Michelle Dutton, and Steve Glover. "How it's done: search tools and techniques for major bibliographic databases." Journal of Paramedic Practice 13, no. 5 (May 2, 2021): 210–13. http://dx.doi.org/10.12968/jpar.2021.13.5.210.
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This article explains how to write an effective search plan using simple steps. The article takes you through the tools and techniques that are widely used in major bibliographic databases such as MEDLINE and CINAHL to conduct searches. These include Boolean logic, truncation and wildcards, in-field searching, proximity operators, limits and subject thesauri. Each process is illustrated with an example to help you apply them to your own searches. The process of using these tools and techniques to either narrow (find fewer results) or broaden (find more results) is described and summarised in an easy-to-use table.
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Carlson, Randal D., and Judi Repman. "Mining Hidden Gems beneath the Surface: A Look at the Invisible Web." Journal of Educational Technology Systems 30, no. 2 (December 2001): 125–35. http://dx.doi.org/10.2190/eqcv-d0ed-3m1f-01km.
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The future of the information landscape is being shaped by new technologies that store and retrieve information. For many computer users, the Web is their first and last stop in information searching. Searches produce an overwhelming amount of returns, but may have few that are “on target.” Finding general information may be easy, but depth of information is frequently lacking. This article focuses on describing resources for researchers, called the Invisible Web, that are hidden from usual search tools and contrasting them with those resources available in the surface Web. It then identifies search tools and strategies that can be used to dig beneath the surface of the Web to locate credible, in-depth information. These resources must be accessed using specialized search tools and databases.
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HOGG, TAD, CARLOS MOCHON, WOLFGANG POLAK, and ELEANOR RIEFFEL. "TOOLS FOR QUANTUM ALGORITHMS." International Journal of Modern Physics C 10, no. 07 (October 1999): 1347–61. http://dx.doi.org/10.1142/s0129183199001108.
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We present efficient implementations of a number of operations for quantum computers. These include controlled phase adjustments of the amplitudes in a superposition, permutations, approximations of transformations and generalizations of the phase adjustments to block matrix transformations. These operations generalize those used in proposed quantum search algorithms.
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Zinn, Claus. "The Language Resource Switchboard." Computational Linguistics 44, no. 4 (December 2018): 631–39. http://dx.doi.org/10.1162/coli_a_00329.
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The CLARIN research infrastructure gives users access to an increasingly rich and diverse set of language-related resources and tools. Whereas there is ample support for searching resources using metadata-based search, or full-text search, or for aggregating resources into virtual collections, there is little support for users to help them process resources in one way or another. In spite of the large number of tools that process texts in many different languages, there is no single point of access where users can find tools to fit their needs and the resources they have. In this squib, we present the Language Resource Switchboard (LRS), which helps users to discover tools that can process their resources. For this, the LRS identifies all applicable tools for a given resource, lists the tasks the tools can achieve, and invokes the selected tool in such a way so that processing can start immediately with little or no prior tool parameterization.
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Najah Mahdi, Mohammed, Roslan Ismail, Abdul Rahim Ahmad, Kavintheran Thambiratnam, and Mohammed Abdulameer Mohammed. "A Design of Faceted Search Engine – a Review." International Journal of Engineering & Technology 7, no. 3.20 (September 1, 2018): 489. http://dx.doi.org/10.14419/ijet.v7i3.20.20595.
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The World Wide Web (WWW) allows the people to share information and data from large database repositories globally. The amount of information is already in the billions of databases. We need to search the information with specialize tools known generically as search engine (SE). With the huge data that needs to be handled, search engines need to retrieve meaningful information intelligently, whereby only information of interest to the searcher needs to be returned. Facets (the particular aspect or feature of something being searched) can play an important role in helping the user understand an information space better. Queries techniques within faceted search will make the search results immediate and the interaction between searcher and search engine uninterrupted and focused. They can contribute to the user’s understanding of the researched terms or topics. Furthermore, they are more fun and interesting to use because users directly manipulate the search controls and the results can be displayed through choices of presentation such as text displays, transition animations, graphs etc. which bring the process closer to an experience in game playing. This paper review the design of faceted search engine.
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Gandomkar, Ziba, and Claudia Mello-Thoms. "Visual search in breast imaging." British Journal of Radiology 92, no. 1102 (October 2019): 20190057. http://dx.doi.org/10.1259/bjr.20190057.
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Breast cancer is the most common cancer among females worldwide and large volumes of breast images are produced and interpreted annually. As long as radiologists interpret these images, the diagnostic accuracy will be limited by human factors and both false-positive and false-negative errors might occur. By understanding visual search in breast images, we may be able to identify causes of diagnostic errors, find ways to reduce them, and also provide a better education to radiology residents. Many visual search studies in breast radiology have been devoted to mammography. These studies showed that 70% of missed lesions on mammograms attract radiologists’ visual attention and that a plethora of different reasons, such as satisfaction of search, incorrect background sampling, and incorrect first impression can cause diagnostic errors in the interpretation of mammograms. Recently, highly accurate tools, which rely on both eye-tracking data and the content of the mammogram, have been proposed to provide feedback to the radiologists. Improving these tools and determining the optimal pathway to integrate them in the radiology workflow could be a possible line of future research. Moreover, in the past few years deep learning has led to improving diagnostic accuracy of computerized diagnostic tools and visual search studies will be required to understand how radiologists interact with the prompts from these tools, and to identify the best way to utilize them. Visual search in other breast imaging modalities, such as breast ultrasound and digital breast tomosynthesis, have so far received less attention, probably due to associated complexities of eye-tracking monitoring and analysing the data. For example, in digital breast tomosynthesis, scrolling through the image results in longer trials, adds a new factor to the study’s complexity and makes calculation of gaze parameters more difficult. However, considering the wide utilization of three-dimensional imaging modalities, more visual search studies involving reading stack-view examinations are required in the future. To conclude, in the past few decades visual search studies provided extensive understanding about underlying reasons for diagnostic errors in breast radiology and characterized differences between experts’ and novices’ visual search patterns. Further visual search studies are required to investigate radiologists’ interaction with relatively newer imaging modalities and artificial intelligence tools.