Thesaurus-enhanced Search Moves: An Evaluation of Search Term and Search Result Satisfaction

2013 ◽  
Author(s):  
Ali Shiri
Keyword(s):  
Search Process ◽  
Search Term ◽  
Search Result ◽  
Process Characteristics ◽  
Search Terms ◽  
The Relationship

This paper reports on a user-centred evaluation of search process characteristics within a thesaurus-enhanced search environment and the ways in which these characteristics affect users’ judgment of search terms and results. The study has addressed the questions relating to the types of search moves and the relationship between search moves and search terms and results.Cet article présente une évaluation orientée-utilisateur des caractéristiques du processus de recherche à l’intérieur d’un environnement de recherche enrichi d’un thésaurus et les manières dont ces caractéristiques ont un impact sur le jugement des utilisateurs sur les termes de recherche et les résultats. Cette étude examine les problèmes reliés aux types de procédures de recherche et la relation entre ces procédures, les termes de recherche et les résultats. 

scholarly journals Using NLP in openEHR archetypes retrieval to promote interoperability: a feasibility study in China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Bo Sun ◽  
Fei Zhang ◽  
Jing Li ◽  
Yicheng Yang ◽  
Xiaolin Diao ◽  
...  
Keyword(s):  
Information Sharing ◽  
Language Processing ◽  
Medical Information ◽  
Medical Professional ◽  
Semantic Interoperability ◽  
Medical Information System ◽  
Search Term ◽  
Search Terms ◽  
Novel Approach ◽  
Test Sets

Abstract Background With the development and application of medical information system, semantic interoperability is essential for accurate and advanced health-related computing and electronic health record (EHR) information sharing. The openEHR approach can improve semantic interoperability. One key improvement of openEHR is that it allows for the use of existing archetypes. The crucial problem is how to improve the precision and resolve ambiguity in the archetype retrieval. Method Based on the query expansion technology and Word2Vec model in Nature Language Processing (NLP), we propose to find synonyms as substitutes for original search terms in archetype retrieval. Test sets in different medical professional level are used to verify the feasibility. Result Applying the approach to each original search term (n = 120) in test sets, a total of 69,348 substitutes were constructed. Precision at 5 (P@5) was improved by 0.767, on average. For the best result, the P@5 was up to 0.975. Conclusions We introduce a novel approach that using NLP technology and corpus to find synonyms as substitutes for original search terms. Compared to simply mapping the element contained in openEHR to an external dictionary, this approach could greatly improve precision and resolve ambiguity in retrieval tasks. This is helpful to promote the application of openEHR and advance EHR information sharing.

scholarly journals Infodemiology of systemic lupus erythematous using Google Trends

Lupus ◽  
2017 ◽  
Vol 26 (8) ◽  
pp. 886-889 ◽  
Author(s):  
M Radin ◽  
S Sciascia
Keyword(s):  
Big Data ◽  
Northern Hemisphere ◽  
Lupus Erythematosus ◽  
Kendall Test ◽  
Google Trends ◽  
Data Monitoring ◽  
Search Term ◽  
Systemic Lupus ◽  
Search Terms ◽  
Google Search

Objective People affected by chronic rheumatic conditions, such as systemic lupus erythematosus (SLE), frequently rely on the Internet and search engines to look for terms related to their disease and its possible causes, symptoms and treatments. ‘Infodemiology’ and ‘infoveillance’ are two recent terms created to describe a new developing approach for public health, based on Big Data monitoring and data mining. In this study, we aim to investigate trends of Internet research linked to SLE and symptoms associated with the disease, applying a Big Data monitoring approach. Methods We analysed the large amount of data generated by Google Trends, considering ‘lupus’, ‘relapse’ and ‘fatigue’ in a 10-year web-based research. Google Trends automatically normalized data for the overall number of searches, and presented them as relative search volumes, in order to compare variations of different search terms across regions and periods. The Menn–Kendall test was used to evaluate the overall seasonal trend of each search term and possible correlation between search terms. Results We observed a seasonality for Google search volumes for lupus-related terms. In the Northern hemisphere, relative search volumes for ‘lupus’ were correlated with ‘relapse’ (τ = 0.85; p = 0.019) and with fatigue (τ = 0.82; p = 0.003), whereas in the Southern hemisphere we observed a significant correlation between ‘fatigue’ and ‘relapse’ (τ = 0.85; p = 0.018). Similarly, a significant correlation between ‘fatigue’ and ‘relapse’ (τ = 0.70; p < 0.001) was seen also in the Northern hemisphere. Conclusion Despite the intrinsic limitations of this approach, Internet-acquired data might represent a real-time surveillance tool and an alert for healthcare systems in order to plan the most appropriate resources in specific moments with higher disease burden.

scholarly journals Specificity of Future Thinking in Depression: A Meta-Analysis

2018 ◽  
Author(s):  
Beau Gamble ◽  
David Moreau ◽  
Lynette J. Tippett ◽  
Donna Rose Addis
Keyword(s):  
Random Effects ◽  
Meta Analysis ◽  
Emotional Valence ◽  
Effect Sizes ◽  
Current Evidence ◽  
Future Research ◽  
Future Thinking ◽  
Moderator Variables ◽  
Search Terms ◽  
The Relationship

Reduced specificity of autobiographical memory has been well established in depression, but whether this ‘overgenerality’ extends to future thinking has not been the focus of a meta-analysis. Following a preregistered protocol, we searched six electronic databases, Google Scholar, personal libraries, and contacted authors in the field for studies matching search terms related to depression, future thinking, and specificity. We reduced an initial 7,332 results to 46 included studies, with 89 effect sizes and 4,813 total participants. Random effects meta-analytic modelling revealed a small but robust correlation between reduced future specificity and higher levels of depression (r = .13, p &lt; .001). Of the 11 moderator variables examined, the most striking effects related to the emotional valence of future thinking (p &lt; .001) and the sex of participants (p = .025). Namely, depression was linked to reduced specificity for positive (but not negative or neutral) future thinking, and the relationship was stronger in samples with a higher proportion of males. This meta-analysis contributes to our understanding of how prospection is altered in depression and dysphoria and, by revealing areas where current evidence is inconclusive, highlights key avenues for future research.

Tweeting on dementia: A snapshot of the content and sentiment of tweets associated with dementia

First Monday ◽  
2021 ◽  
Author(s):  
David Robertshaw ◽  
Ivana Babicova
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Lewy Body Dementia ◽  
Future Research ◽  
Search Term ◽  
Word Count ◽  
Emotional Tone ◽  
Search Terms ◽  
Linguistic Inquiry ◽  
World List

This study aimed to record and characterise tweets related to dementia, to investigate their content and sentiment. Data were extracted from Twitter over a period of six weeks during February and March 2019 and then analysed using Linguistic Inquiry and Word Count (LIWC) and AntWordProfiler. Using five search terms related to dementia, this study collected 860,383 tweets (more than 27 million words). Results have shown that out of all the collected tweets, 48.63 percent of tweets related to the search term ‘dementia’, 49.95 percent to ‘Alzheimer’s disease’ and the remainder related to frontotemporal dementia, Lewy Body dementia and vascular dementia. People wrote more positively and personally about the term ‘dementia’ than the other terms, and more technically regarding the term ‘Alzheimer’s disease’. All search terms had a negative emotional tone overall. Dementia and related terms are commonly discussed on Twitter. The overall negative emotional tone associated with all dementia related search terms suggests that dementia is still largely stigmatised and talked about negatively. Recommendations for future research include the development of a health world list or a dementia world list, and to consider how the results of this research inform social change interventions going forwards.

Bibliometric Analysis of Lean, Agile, and Leagile Supply Chains in Automobile Industry (1990 - 2017)

2020 ◽  
pp. 1746-1770
Author(s):  
Venkatesh Iyengar ◽  
S. Vijayakumar Bharathi
Keyword(s):  
Supply Chains ◽  
Bibliometric Analysis ◽  
Automobile Industry ◽  
Search Term ◽  
Search Results ◽  
Search Terms ◽  
Efficient Performance ◽  
Academic Publications ◽  
Data Statistics ◽  
Legal Strategies

This article describes how organizations embrace various supply chain strategies aiming at effective and efficient performance outcomes for gaining competitive advantage. The authors conducted an extensive search for academic publications on lean, agile, and leagile (hybrid) supply chains in context with automobile industries, published since year 1990 in reliable repositories such as Google Scholar, Scopus and ResearchGate. None of these papers used bibliometric analysis on the topic. This paper systematically maps, publications on lean, agile, and legal strategies in automobile industry published during 1990–2017. A five-step process is followed, namely (i) defining appropriate search terms, (ii) initial search results, (iii) refinement of search results, (iv) initial data, statistics, and (v) data analysis; adopted for inclusion of relevant documents for publication and citation analysis. Selected documents include primary search term ‘automobile' along with associated secondary terms such as ‘lean', ‘agile', ‘lean and agile', and ‘leagile' as part of the title, abstract, or keywords. The analysis finds several documents on lean or agile strategies, but only one document exists on ‘leagile' paradigm. Maximum articles are contributed on engineering subjects followed by business, management and accounting and computer sciences. Large publication and high citation counts were observed for lean from United States and Chinese authors, whereas Indian authors contributed in agile studies. This article identifies areas of current research interests discussing crucial contributions by several authors' and provides potential directions for further research investigations in the field.

Precarious Manhood Predicts Support for Aggressive Policies and Politicians

2020 ◽  
pp. 014616722096357
Author(s):  
Sarah H. DiMuccio ◽  
Eric D. Knowles
Keyword(s):  
Death Penalty ◽  
Real World ◽  
Signal Strength ◽  
Congressional Elections ◽  
Electoral Behavior ◽  
Election Study ◽  
Search Terms ◽  
Potential Sources ◽  
Sources Of Variation ◽  
The Relationship

Precarious manhood (PM) theory posits that males are expected to actively maintain their reputations as “real men.” We propose that men’s concern about failing to meet masculine standards leads them to embrace policies and politicians that signal strength and toughness—or what we term political aggression. Three correlational studies support this claim. In Study 1, men’s fear of failing to meet masculine expectations predicted their support for aggressive policies (e.g., the death penalty), but not policies lacking aggressive features (e.g., affirmative action). Studies 2 and 3 utilized Google searches to assess the relationship between regional levels of PM and real-world electoral behavior. The use of search terms related to masculine anxieties correlated with Donald Trump’s vote share in the 2016 general election (Study 2) and, confirming preregistered predictions, with Republican candidates’ vote shares in 2018 congressional elections (Study 3). We close by discussing potential sources of variation in PM.

Acoustic Emission During Athermal Martensitic Transformation in Steels

1990 ◽  
Vol 112 (1) ◽  
pp. 84-91 ◽  
Author(s):  
Xiangying Liu ◽  
Elijah Kannatey-Asibu
Keyword(s):  
Free Energy ◽  
Acoustic Emission ◽  
Martensitic Transformation ◽  
Signal Intensity ◽  
Temperature Derivative ◽  
Process Characteristics ◽  
Ae Signal ◽  
The Relationship ◽  
Ae Signals ◽  
Start Temperature

A relationship developed earlier between acoustic emission signals and the process of athermal martensitic transformation based on the free energy associated with the process is extended and verified experimentally. The relationship is found to model the process characteristics very well. The intensity of AE signal generated during transformation was found to be proportional to the temperature derivative of the fraction of martensite, the cooling rate, and volume of specimen. The AE signal was also found to be related to the carbon content of the steel. During transformation, the signal intensity was found to increase to a peak, and then tail off near the end of the transformation. Values of the martensite start temperature obtained from plots of the total RMS squared AE signals were also found to correlate well with values from the literature.

scholarly journals Maternal Obesity and Occurrence of Fetal Macrosomia: A Systematic Review and Meta-Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-22 ◽  
Author(s):  
Laura Gaudet ◽  
Zachary M. Ferraro ◽  
Shi Wu Wen ◽  
Mark Walker
Keyword(s):  
Birth Weight ◽  
Maternal Obesity ◽  
Meta Analysis ◽  
Fetal Macrosomia ◽  
Ovid Medline ◽  
Search Terms ◽  
Prepregnancy Weight ◽  
Study Selection ◽  
Health Initiatives ◽  
The Relationship

Objective. To determine a precise estimate for the contribution of maternal obesity to macrosomia.Data Sources. The search strategy included database searches in 2011 of PubMed, Medline (In-Process & Other Non-Indexed Citations and Ovid Medline, 1950–2011), and EMBASE Classic + EMBASE. Appropriate search terms were used for each database. Reference lists of retrieved articles and review articles were cross-referenced.Methods of Study Selection. All studies that examined the relationship between maternal obesity (BMI ≥30 kg/m2) (pregravid or at 1st prenatal visit) and fetal macrosomia (birth weight ≥4000 g, ≥4500 g, or ≥90th percentile) were considered for inclusion.Tabulation, Integration, and Results. Data regarding the outcomes of interest and study quality were independently extracted by two reviewers. Results from the meta-analysis showed that maternal obesity is associated with fetal overgrowth, defined as birth weight ≥ 4000 g (OR 2.17, 95% CI 1.92, 2.45), birth weight ≥4500 g (OR 2.77,95% CI 2.22, 3.45), and birth weight ≥90% ile for gestational age (OR 2.42, 95% CI 2.16, 2.72).Conclusion. Maternal obesity appears to play a significant role in the development of fetal overgrowth. There is a critical need for effective personal and public health initiatives designed to decrease prepregnancy weight and optimize gestational weight gain.

Predicting Public Interest in Nonsurgical Cosmetic Procedures Using Google Trends

2019 ◽  
Vol 40 (11) ◽  
pp. 1253-1262 ◽  
Author(s):  
Jonathan D Tijerina ◽  
Shane D Morrison ◽  
Ian T Nolan ◽  
Matthew J Parham ◽  
Rahim Nazerali
Keyword(s):  
Hyaluronic Acid ◽  
Public Interest ◽  
The United States ◽  
Google Trends ◽  
Search Term ◽  
Data Set ◽  
Fat Transfer ◽  
Laser Hair Removal ◽  
Search Terms ◽  
Search Volume

Abstract Background Google Trends (GT) provides cost-free, customizable analyses of search traffic for specified terms entered into Google’s search engine. GT may inform plastic surgery marketing decisions and resource allocation. Objectives The aim of this study was to determine GT’s utility in tracking and predicting public interest in nonsurgical cosmetic procedures and to examine trends over time of public interest in nonsurgical procedures. Methods GT search volume for terms in 6 ASPS and ASAPS nonsurgical procedure categories (Botox injections, chemical peel, laser hair removal, laser skin resurfacing, microdermabrasion and soft tissue fillers [subcategories: collagen, fat, and hyaluronic acid]) were compared with ASPS and ASAPS case volumes for available dates between January 2004 and March 2019 with the use of univariate linear regression, taking P &lt; 0.01 as the cutoff for significance. Results Total search volume varied by search term within the United States and internationally. Significant positive correlations were demonstrated for 17 GT terms in all 6 ASPS and ASAPS categories: “Botox®,” “collagen injections,” “collagen lip injections” with both databases; and “chemical skin peel,” “skin peel,” “acne scar treatment,” “CO2 laser treatment,” “dermabrasion,” “collagen injections,” “collagen lip injections,” “fat transfer,” “hyaluronic acid fillers,” “hyaluronic acid injection,” “hyaluronic acid injections,” “Juvederm®,” and “fat transfer” with just 1 database. Many search terms were not significant, emphasizing the need for careful selection of search terms. Conclusions Our analysis further elaborates on recent characterization of GT as a powerful and intuitive data set for plastic surgeons, with the potential to accurately gauge global and national interest in topics and procedures related to nonsurgical cosmetic procedures.

scholarly journals Enhanced Public Interest in Response to the Refugee and Healthcare Crises in Greece

2020 ◽  
Vol 17 (7) ◽  
pp. 2272 ◽  
Author(s):  
Ourania S. Kotsiou ◽  
Vaios S. Kotsios ◽  
Konstantinos I. Gourgoulianis
Keyword(s):  
Economic Crisis ◽  
Public Interest ◽  
Public Awareness ◽  
National Health System ◽  
Search Term ◽  
The Public ◽  
Search Terms ◽  
Search Volume ◽  
Aegean Islands ◽  
Relative Search Volume

Background: The Greek National Health System (NHS) has been profoundly affected by the synergy of the economic and refugee crises. We aimed at evaluating the public interest regarding refugee and healthcare issues in Greece. Methods: Google Trends was employed to normalize traffic data on a scale from 0 to 100, presented as monthly relative search volume (RSV) for the search term queries: “refugees”, “health”, “diseases”, “hospital”, and “economic crisis” in Greece, from the period 2008 to 2020. Cross-country comparisons in selected European countries were made. Results: The analysis of RSV data showed an upward trend for the keyword “refugee”, in Greece, in the last five years, with two remarkable peaks from 2015 to 2016 and from 2019 to the present. Interest regarding refugees was more prevalent in the Aegean islands compared to the mainland. The mass influx of refugees has been linked to disease-related concerns. The search terms “hospital” and “health” have been the most popular and constantly quested topics since the beginning of the economic crisis in Greece, in 2009. Similar trends existed across Europe. Conclusion: There is an urgent need for effective public awareness of current politico-ethical and social-economic conditions. The patterns of public interest can formulate public policy.

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