bluuebunny/crossref_metadata_2025_split huggingface dataset:
Physical activity attenuates the effect of the FTO genotype on obesity traits in European adults: The Food4Me study
Authors: Celis‐Morales Carlos , Marsaux Cyril F.M. , Livingstone Katherine M. , Navas‐Carretero Santiago , San‐Cristobal Rodrigo , O'donovan Clare B. , Forster Hannah , Woolhead Clara , Fallaize Rosalind , Macready Anna L. , Kolossa Silvia , Hallmann Jacqueline , Tsirigoti Lydia , Lambrinou Christina P. , Moschonis George , Godlewska Magdalena , Surwiłło Agnieszka , Grimaldi Keith , Bouwman Jildau , Manios Yannis , Traczyk Iwona , Drevon Christian A. , Parnell Laurence D. , Daniel Hannelore , Gibney Eileen R. , Brennan Lorraine , Walsh Marianne C. , Gibney Mike , Lovegrove Julie A. , Martinez J. Alfredo , Saris Wim H.M. , Mathers John C. ,   on behalf of the Food4Me Study
Published: February 2016

ObjectiveTo examine whether the effect of FTO loci on obesity‐related traits could be modified by physical activity (PA) levels in European adults.MethodsOf 1,607 Food4Me participants randomized, 1,280 were genotyped for FTO (rs9939609) and had available PA data. PA was measured objectively using accelerometers (TracmorD, Philips), whereas anthropometric measures [BMI and waist circumference (WC)] were self‐reported via the Internet.ResultsFTO genotype was associated with a higher body weight [β: 1.09 kg per risk allele, (95% CI: 0.14‐2.04), P = 0.024], BMI [β: 0.54 kg m−2, (0.23‐0.83), P < 0.0001], and WC [β: 1.07 cm, (0.24‐1.90), P = 0.011]. Moderate‐equivalent PA attenuated the effect of FTO on BMI (P[interaction] = 0.020). Among inactive individuals, FTO increased BMI by 1.06 kg m−2 per allele (P = 0.024), whereas the increase in BMI was substantially attenuated among active individuals (0.16 kg m−2, P = 0.388). We observed similar effects for WC (P[interaction] = 0.005): the FTO risk allele increased WC by 2.72 cm per allele among inactive individuals but by only 0.49 cm in active individuals.ConclusionsPA attenuates the effect of FTO genotype on BMI and WC. This may have important public health implications because genetic susceptibility to obesity in the presence of FTO variants may be reduced by adopting a physically active lifestyle.
CNV analysis and mutation screening indicate an important role for the NPY4R gene in human obesity
Authors: Aerts Evi , Beckers Sigri , Zegers Doreen , Van Hoorenbeeck Kim , Massa Guy , Verrijken An , Verhulst Stijn L. , Van Gaal Luc F. , Van Hul Wim 
Published: February 2016

ObjectiveGenome‐wide copy number variation (CNV) analyses have associated the 10q11.22 CNV with obesity. As the NPY4R gene is the most interesting candidate gene in this region, it was hypothesized that both genetic and structural variation in NPY4R might be implicated in the pathogenesis of obesity.MethodsIn the first part of this study, 326 children and adolescents with obesity and 298 healthy lean individuals were screened for CNV in the NPY4R‐containing chr.10q11.22 region. In the second part of this study, a mutation screen for variants in the NPY4R coding region was performed in 356 children and adolescents with obesity and 337 healthy lean adults.ResultsOur CNV analysis demonstrated a significantly higher frequency of NPY4R containing 10q11.22 CNV loss in the patient population (P = 0.0003), while CNV gain in this region was more prevalent in the control population (P = 0.031). Mutation analysis resulted in the identification of 15 rare non‐synonymous heterozygous variants. For two variants that could only be identified in the patient population, receptor dysfunction and thus a pathogenic effect were demonstrated.ConclusionsIn conclusion, these data support an essential role for genetic and structural variation within the NPY4R gene in the pathogenesis of obesity.
Quantitative exploration into the diffusion process of creative ideas in economics: Nobel prize laureates
Authors: Kim Meen Chul , Feng Yuanyuan , Zhu Yongjun , Ping Qing 
Published: February 2016

ABSTRACTIn this study, we aim to keep track of how creative ideas in economic sciences have been created and diffused into successive research. Toward that end, we investigate the intellectual landscapes of the Nobel Prize awardees’ research and the articles citing the literature. Our study is based on two sets of bibliographic records retrieved from the Web of Science. The “Creation” dataset, obtained through an author search, contains 1,745 original research and review articles of the laureates. The “Diffusion” dataset, consisting of 134,866 records, was collected by citation expansion. We identified bursting keywords and intellectual landscapes of the domain in creation and diffusion perspectives. We found that the dominant research themes that had influenced the laureates’ research from 1980 till 1999 were macroeconomic tests and economic analysis in time series. Then, the creative ideas have diverged into a variety of issues such as labor market, economic governance, market design, asset pricing, and economic decision making. We identified that these ideas have been diffused into successive research topics such as intertemporal general equilibrium model, reciprocity in economics, estimating profitable asset pricing, and socio‐ecological economics. Finally, it is argued that economic research around the laureates has become divergent over time.
Which VIVO harvester queries best populate the VIVO database with accurate faculty member publications?
Authors: Eldredge Jonathan , Garbin Eric , Kroth Philip J. 
Published: February 2016

ABSTRACTThe National Institutes of Health encourages its research partners to use VIVO™ software to enhance research investigator collaboration. VIVO provides a dynamic online directory to facilitate professional networking opportunities for investigators who share similar or complementary research interests (VIVO, 2015). VIVO Harvester performs author searches in PubMed™ to populate VIVO profiles with article citations. Harvester only provides 65% of the total number of references (Eldredge et al., 2015), however. This study describes how the VIVO Harvester query design impacts Harvester's ability to populate the VIVO database with the correct citations to investigator publications. This action research project analyzed elements critical to optimizing Harvester's accuracy, thereby informing the development of similar queries for other institutions. Institution‐specific knowledge coupled to expert PubMed search skills are essential to optimizing the accuracy of VIVO. This development fosters discovery and enhances translational research capable of benefitting society.
Does author affiliation reputation affect uncitedness?
Authors: Lou Wen , He Jiangen 
Published: February 2016

ABSTRACTThis study analyzes the relation between author affiliation reputation and uncitedness. We use 2015 U.S. News Best Global University Subject rankings as representative of affiliation reputation and collect uncited papers from 24 journals in six subjects from WoS. Preliminary correlation analysis results indicate that: (1) there is a significant correlation between affiliation reputation and uncitedness. (2) their relation is negatively and weakly correlated. And secondary data collection and correlation analysis proved that relation between affiliation reputation and uncitedness vary in different subjects. The findings of this study would attract scientists’ attention to avoid Matthew Effect and focus more on research papers rather than reputation when citing references.
Hypotheses of information‐seeking satisfaction gaps: Demographics, sources usage, and person‐source fit
Authors: Sin Sei‐Ching Joanna , Lee Chei Sian 
Published: February 2016

ABSTRACTInformed by the knowledge gap theory, this study explored possible hypotheses on information‐seeking satisfaction gaps. Using a survey of 1,000 Singapore Internet users and an ANOVA test, this research tested whether individuals’ satisfaction with everyday information seeking varies by demographics and by the frequency of information sources usage. Interaction effects were also tested. Significant differences were found in the satisfaction level based on the income level and on the frequency of using all four sources tested. Three interactions were significant, two of which suggest lower satisfaction among lower socioeconomic status individuals who used the Internet or social media with moderate frequency. Five propositions were introduced for further testing.
Envisioning how fair use and fair dealing might best facilitate scholarship
Authors: Caidi Nadia , Centivany Alissa , Samuelson Pam , Wolfe Michael 
Published: February 2016

ABSTRACTCopyright law grants exclusive rights to authors of original works of authorship, but those rights are subject to numerous exceptions and limitations, including fair use in the United States and fair dealing in Canada. These exceptions have traditionally worked to ensure that the rights of copyright owners are adequately balanced with the interests of subsequent authors, researchers, and consumers of copyrighted works. Moreover, fair use has emerged as the most promising legal mechanism for the digitization, preservation, and study of large collections of copyrighted work. Fair use and fair dealing provide much of the flexibility needed to ensure that copyright protection serves to facilitate scholarship rather than threaten it. Scholars encounter copyright law both as authors and as users of copyrighted works.With an eye toward the future, this panel will examine the extent to which the discourses and practices of the past decade have contributed to shaping and reshaping our scholarly environment, how the information field has responded, and why and how information scholars, researchers and professionals ought to remain engaged in these matters in the future.
Using syntagmatic relations to examine semantic communities in user generated book reviews
Authors: Yoon Kyunghye , Bezdicek Adam 
Published: February 2016

ABSTRACTWhile several studies have suggested that implicit semantic communities can be identified within user generated content, the majority have focused on identifying these communities via networks of “tags” within folksonomies. This method can be problematic due to the lack of linguistic context inherent in tags as collections of discrete terms. This study attempted a different approach to this problem by analyzing a corpus of user generated reviews for popular science books taken from Amazon. It searched the reviews for patterns of shared core semantic meanings as constituted by syntagmatic relations between “topic” and “comment.” Preliminary results showed that (1) core semantic meanings expressed via “topic” and “comment” relations were salient across reviews for a given book and across books within the genre and (2) specific patterns of core semantic meanings suggested the presence of different user communities constituted through similar manners of commenting on the books. The results provide insight into the social ways that readers accumulate shared meaning around books through repetition, interpretation, annotation.
Health information use: Preliminary results from a systematic review
Authors: Fry Laura , Santos Yleana E. , Zhang Yan 
Published: February 2016

ABSTRACTSearching for health information online is a popular behavior, yet little is known about how people use the information they find. As an initial step towards understanding this important aspect of consumer health information behavior, we conducted a systematic review. We searched three major health‐related databases, CINAHL, Medline, and PsycINFO and identified 31 articles that report consumers’ use of health information found online. Thematic analysis of these articles revealed that the most common uses of online health information were to make health decisions and lifestyle changes, and to discuss the information with healthcare professionals.
Streamlining metadata for economic time series data: A project report
Authors: Podleski Genevieve 
Published: February 2016

ABSTRACTThe macroeconomic data domain is complex, and the plethora of metadata practices and standards makes using and harmonizing datasets more difficult for researchers. This poster explains the impetus behind and the progress made in the first year of a cooperative project to improve and streamline metadata for economic time series data.
Feature selection on heterogeneous graph
Authors: Guo Chun , Liu Xiaozhong 
Published: February 2016

ABSTRACTHeterogeneous graph based information recommendation have been proved useful in recent studies. Given a heterogeneous graph scheme, there are many possible meta paths between the query node and the result node, and each meta path addresses a hypothesis‐based ranking function. In prior researches, meta paths are manually selected by domain experts. However, when the graph scheme becomes complex, this method can be inefficient. In this study, we propose feature generation tree, a novel feature selection method for heterogeneous graph mining based recommendation algorithms, which adds graph structure information into the original “feature selection for ranking” algorithm and saves a fair amount of time for feature computation. In our preliminary experiment, the proposed method outperforms the original “feature selection for ranking” algorithm in both efficiency and effectiveness.
Expanding an oil spill semantic relations taxonomy with a foreign policy semantic relations taxonomy
Authors: Wu Yejun , Yang Li 
Published: February 2016

ABSTRACTThis paper presents the significance, method and findings of expanding an oil spill semantic relations taxonomy with the CAMEO foreign policy semantic relations taxonomy for supporting knowledge discovery. The oil spill relations taxonomy is enriched by integrating the CAMEO relations taxonomy. Context scope notes may need to be added to CAMEO relation terms (especially the polysemous terms) when they are merged into the oil spill relations taxonomy. A term may be classified into different categories due to different context.
Agnotology and information
Authors: Frazier T. Zachary 
Published: February 2016

ABSTRACTAgnotology was coined in an effort to create a title for a project to build an understanding of ignorance. The poster proposed seeks to re‐introduce ignorance to information science through the comparison of the construction of ignorance in agnotology and the construction of information in information science. Looking at the way that models of ignorance parallel models of information, a greater understanding of the epistemic landscape is revealed. This conversation around the theoretical foundations of information science posed by this proposal may have a direct impact on both individuals and information contexts by reducing entropy and uncertainty in information science research. This poster is a step towards starting a conversation about connections and overlaps between information science and agnotology.
Qualitative analysis of user experience in a 3D virtual environment
Authors: Geszten Dalma , Hámornik Balázs Péter , Komlodi Anita , Hercegfi Károly , Szabó Bálint , Young Alyson 
Published: February 2016

ABSTRACTThis paper describes elements of user experience of a collaborative 3D immersive virtual information management environment. We detail those elements that are seen to both improve and deteriorate user experience, and provide design guidance for researchers and designers. We designed the 3D virtual environment in the Virtual Collaboration Arena (VirCA) collaborative space specifically to study the collaborative information retrieval and management behaviors of users. We conducted 117 interviews and then analyzed the data using a qualitative content analysis to identify the main elements of user experience. While participants generally reacted positively to the environment, they also mentioned a few distracting usability problems. Applying the results in the further development of VirCA can create a higher level of user experience and more effective collaboration.
Query‐centric scientific topic evolution extraction
Authors: Jensen Scott , Yu Yingying , Liu Hans B. , Liu Xiaozhong 
Published: February 2016

ABSTRACTResearchers in academia and industry face a deluge of data in our digital world. In this paper, we investigate a novel problem, query‐centric scientific topic evolution. Using heterogeneous graph mining techniques we construct a topic evolution tree (TET) from massive collections of scientific publications, enabling students and researchers to explore the foundation of research topics outside their specialization. Prior research has focused mainly on citation relationships; in this study we employed multiple types of relationships, including authorship, citation, publishing venue, and the contributions authors, papers, and venues have made to a specific topic. We examine multiple restricted meta‐paths in constructing a TET covering topics from the MeSH vocabulary for biomedical research.
Human values and personal health records
Authors: Fleischmann Kenneth R. , Zhang Yan , Xie Bo 
Published: February 2016

ABSTRACTPersonal health records (PHRs) are on the rise in recent years. To understand why and how people use (or not use) PHRs, it is critical to understand what they value. This paper reports preliminary findings from a thematic analysis of journal articles related to PHRs. Our analysis identified six values with ethical import as being particularly salient to the use of personally identifiable information in this literature: privacy, confidentiality, security, transparency, trust, and human agency.
Authorship, Patents, Citations, Acknowledgments, Tweets, Reader Counts and the Multifaceted Reward System of Science
Authors: Desrochers Nadine , Bowman Timothy D. , Haustein Stefanie , Mongeon Philippe , Quan‐Haase Anabel , Paul‐Hus Adèle , Costas Rodrigo , Larivière Vincent , Pecoskie Jen , Tsou Andrew 
Published: February 2016

ABSTRACTBuilding upon well‐established paradigms brought forth by such theorists as Robert K. Merton, Pierre Bourdieu, and Blaise Cronin, the panel will span the full cycle of academic production to show, through various bibliometric measures and other quantitative and qualitative analyses, how the reward system of science is evolving. While there is strong evidence to suggest that such forms of dissemination as social media output and blogging are being incorporated into scientific practices, scientific impact still remains principally assessed using measures such as authorship and citations, whilst other elements, such as acknowledgements, have received varying levels of regard at various times. Disciplinary considerations also arise. Using a wide range of approaches, measures, and datasets, the panelists will establish links between their individual research to create an empirically driven picture of the reward system of science and its indicators. Through the use of the Polldaddy application, audience members will answer questions and create an overview of their perception of the reward system of science.
Needs analysis on the development of evidence‐based practice in an undergraduate problem‐based learning context
Authors: Allen Carla M. , Saparova Dinara 
Published: February 2016

ABSTRACTEvidence‐based practice (EBP) is a formal information behavior recently imposed on healthcare providers, which emphasizes the incorporation of the best research evidence into the delivery of patient care. Internationally, policies that require both healthcare practice and the educational environment under which health science students are educated to be evidence based are on the rise. In medical and health sciences curricula, EBP and problem‐based learning (PBL) are often seen as synonymous, as traditional medical PBL requires students to seek out research evidence related to posed clinical problems. However, students in an undergraduate radiography program exhibit difficulties in implementing EBP, despite successful completion of a PBL course. This study describes the findings of a needs analysis undertaken to better understand the issues hindering the development of effective evidence‐based decision making skills in the PBL context.
The nature of government tweets for conveying a message to the public
Authors: Bachstein Frances Nichols 
Published: February 2016

ABSTRACTGovernments wish to keep certain types of information concealed from the public due to a variety of different reasons. Government agencies that protect secrecy often have a difficult time connecting to the public (WGPC, 2014). Secretive, or perceived secretive government organizations often fall into the nebulous realm of uncertainty for the information consumer. This results in a great deal of misinformation and disinformation being thought of as correct (Hernon,). These types of wrong information are ubiquitous on the internet and even more so on social media, where rumors are often passed as truth. Since 2008, the US government is moving toward a more transparent, open, and easily accessed information base through social media (Lathrop & Ruma,). Agencies across the government are adopting types of social media communication. However, bureaus that primarily focus on security and safeguarding secrets struggle with how much to share and which platforms of social media are the ‘best’ for their message, and how to inure trust from their audience. This study is a content analysis of parent tweets from government agencies of the Central Intelligence Agency, Federal Bureau of Investigation, Department of Homeland Security, International Atomic Energy Agency, and National Security Agency (CIA, FBI, DHS, IAEA, and NSA) and the responses of the tweets from the public to assess the tone of message and response.
The guided tour technique in information science: Explained and illustrated
Authors: Thomson Leslie 
Published: February 2016

ABSTRACTThis poster elaborates a research technique—that of the guided tour—that has previously been used in qualitative research, including in some studies carried out by information scientists. The guided tour technique hybridizes visual and aural methods; it involves a researcher's relatively shortened, planned entry into a field site, a participant then leading him or her through a personally meaningful location therein while describing and explaining its features, thinking‐aloud the ideas, thoughts, and feelings to which it gives rise, and responding to gentle, conversational inquiries (Thomson, 2015). In prior information science work, the technique has offered up‐close, in‐depth perspectives on information‐rich settings, be these home collections, workplace archives, or public spaces like museums. After the technique is introduced, the second portion of this poster is devoted to a comparison of use of the guided tour technique in two research scenarios. The first of these involves guided tours during an in‐person study, following the example laid out by prior researchers. The second involves examining data unobtrusively gathered online as a further guided tour adaptation. From these scenarios, it is possible for researchers to see how the guided tour technique can best be applied, its shortcomings, and ways in which it may accommodate research contingencies. The poster concludes by reiterating the value that guided tours can bring to information science work.