bluuebunny/crossref_metadata_2025_split huggingface dataset:
Surface modification of reduced graphene oxide‐polyaniline nanotubes nanocomposites for improved supercapacitor electrodes
Authors: Devi Madhabi , Kumar Ashok 
Published: October 2019

AbstractIn the present work, irradiation with high energetic ions has been used for surface, structural, and morphological modifications of reduced graphene oxide (RGO) and polyaniline nanotubes (PAniNTs) nanocomposites with a view to enhance their electrochemical performance as supercapacitor electrode. High‐resolution transmission electron microscope micrographs depict defect induced fragmented morphology with stable inner hollow tubes up to a fluence of 2.2 × 1012 ions cm−2, above which drastic degradation of PAniNTs is observed. Irradiation induced annealing effects and structural disorder at varied irradiation fluences have been investigated by micro‐Raman spectroscopy. Formation of shorter PAniNTs of higher surface area due to generation of ion irradiation induced defects and their reorganization results in increased Brunauer‐Emmett‐Teller specific surface area and porosity. Surface energy and wettability of the electrodes increase upon ion irradiation, which improves electrode‐electrolyte interaction at the interface. Surface free energy calculations indicate increased concentration of polar groups on the nanocomposite electrode surface upon irradiation. Electrochemical performance studies indicate enhancement in specific capacitance and cyclic stability from 448 F g−1 and 89% for unirradiated nanocomposite to 482 F g−1 and 92%,, respectively, for the nanocomposite irradiated at 2.2 × 1012 ions cm−2 fluence, which is attributed to the increased surface energy and porosity upon irradiation giving rise to increased electrochemically active sites for charge storage in the electrode.
Development and usability testing of the e‐EXCELS tool to guide cancer survivorship follow‐up care
Authors: O'Malley Denalee M. , Davis Stacy N. , Devine Katie A. , Sullivan Brittany , Bator Alicja , Clemow Lynn , Ferrante Jeanne M. , Findley Patricia A. , Miller Suzanne M. , Hudson Shawna V. 
Published: October 2019

AbstractObjectiveThe aim of this study is to describe a user‐centered (e.g., cancer survivors and clinicians) development process of an eHealth tool designed to facilitate self‐management of cancer survivorship follow‐up care.MethodsGuided by Cognitive‐Social Health Information Processing (C‐SHIP) model and informed by core self‐management skills, we engaged in a user‐centered design process. In phase I, we conducted in‐depth interviews with survivors of breast (n = 33), prostate (n = 4), and colorectal (n = 6) cancers, and (n = 9) primary care providers to develop content and design of the web tool. Phase II utilized iterative user testing interviews (n = 9) to test the web‐based tool prototype. Data from both phases were independently coded using a template/content analytic approach.ResultsThe top 5 functions identified in phase I for the web‐based platform included: (a) educational materials to learn and prepare for health encounters (80%); (b) questions for health providers (74%); (c) ability to track contact information of providers (67%); (d) provide general information (64%); and, (e) support information (62%). Users of the prototype reported patient burden, tool fatigue, introduction timing of the tool, relevance, and security/privacy as concerns in phase II.ConclusionsThis study demonstrates the value of using a theoretically informed and user‐centered design process to develop relevant and patient‐centered eHealth resources to support cancer survivorship. A larger study is needed to establish the efficacy of this eHealth tool as an intervention to improve adherence to follow‐up care guidelines.
Prehospital management of pediatric asthma patients in a large emergency medical services system
Authors: Ramgopal Sriram , Mazzarini Angelica , Martin‐Gill Christian , Owusu‐Ansah Sylvia 
Published: October 2019

AbstractBackgroundAsthma is a common pediatric diagnosis for emergency medical services (EMS) transports, however there is a paucity of data on prehospital asthma management. The purpose of this study was to describe prehospital management of pediatric patients with suspected asthma exacerbation.MethodsWe conducted a retrospective review of electronic medical records from 24 ground EMS agencies in Southwestern Pennsylvania between 1 January 2014 to 31 December 2017. We identified patients 2 to 17 years with documented wheezing, excluding those with suspected anaphylaxis. Patients with documented respiratory distress were classified as severe asthma. We report descriptive statistics of demographics, vital signs, and management including administration of medications and performance of procedures.ResultsOf 19 246 pediatric transports, 1078 (5.6%) patients had wheezing. Of these, 532 (49%) met criteria for severe asthma. Patients with severe asthma were more likely to be adolescents compared to those with nonsevere asthma (49.6% vs 6%; P < .001). While rates of intravenous methylprednisolone administration were higher in patients with severe asthma (68/532, 12.8%) compared to those with nonsevere asthma (13/546, 2.4%; P < .001), overall use of steroids was low (7.5%). Other therapies provided included albuterol (n = 699, 64.8%), ipratropium bromide (n = 271, 25.1%), and oxygen (n = 280, 26.0%). One hundred eighty patients (16.7%) received a peripheral IV line. Two patients (0.4%) were given continuous positive airway pressure.ConclusionApproximately 6% of pediatric EMS transports are for asthma. Steroid usage was low in even those with severe asthma, representing an area of process improvement. These data provide a baseline to future research to identify interventions that may improve outcomes.
Investigating the productive uses of uncertainty in knowledge co‐creation practices
Authors: Archambeault Jean 
Published: October 2019

ABSTRACTThis poster presents results from an ongoing exploratory research study, which uses a participant observation methodology to investigate the productive uses of uncertainty in fostering knowledge emergence. Recent research suggests that introducing uncertainty can be a productive resource to facilitate the emergence of knowledge in co‐creation practices. While recognizing productive traits to uncertainty is not new in information science, how uncertainty can be deliberately introduced, as a productive resource, remains generally unnoticed. This study extends previous research in this area by further detailing the use of uncertainty and by constituting a foray into investigating information practices in collective knowledge creation environments. Findings suggest that introducing uncertainty aims at inducing a state of unknowability to erode certainty, disrupt entrained thinking and processual constraints, and decompartmentalize disciplinary boundaries that inhibit knowledge emergence. The experiences of relational engagement, joint advantage and mutual transformation arose as conditions conducive to using uncertainty for knowledge emergence.
Everyday health information seeking among millennials
Authors: Bartlett Joan C. , Bowen‐Ziecheck Aaron , Kumah Cynthia , Beheshti Jamshid 
Published: October 2019

ABSTRACTThis research investigates the information behavior of millennial students in the context of everyday‐life health information. Data was collected using a mixed‐methods approach of a survey (3565 responses) followed by interviews. Results‐to‐date show that while the students make good judgements regarding the credibility of resources, that judgment is not always reflected in the resources they actually choose to use.
Examination of online information search stopping behaviors and stopping rules by task type
Authors: Dedema  , Liu Chang 
Published: October 2019

ABSTRACTThis poster aims to understand how task type could influence when people would stop searching and what stopping rules people would use in the following three stopping behaviors: query stopping, read stopping, and task stopping during online information search. We conducted a pilot user experiment with four participants; each performed two different types of search tasks. The results show two different patterns of stopping behavior on well‐structured and decomposable tasks and poorly structured and indecomposable tasks: sequential mode, and simultaneous mode; and people use different stopping rules in three stopping behaviors.
The efficacy of digital literacy training initiatives led by local community organizations
Authors: Detlor Brian , Nasery Mona , Julien Heidi 
Published: October 2019

ABSTRACTThis paper describes an in‐progress research study investigating the efficacy of digital literacy training initiatives led by local community organizations, including public libraries. The goal is to generate a theoretical model of factors affecting the efficacy of digital literacy training opportunities led by local community organizations, and to produce recommendations for practice for local community organizations to follow. The study adopts a constructivist grounded theory approach. Data collection is currently underway and involves interviews with administrators of local digital literacy training initiatives and users who participate in the training. As well, observations of the training and a review of documentation regarding the roll‐out of the training are being conducted. Preliminary results will be communicated at the ASIS&T Annual Meeting in Melbourne.
When the world ends: Study of #fakewesteros twitter fan community during the final season of game of thrones
Authors: Forcier Eric 
Published: October 2019

ABSTRACT#FakeWesteros is an online fan community that originated on Twitter when the worldwide blockbuster television series Game of Thrones (GoT) aired its first season in 2011. Fans from around the world live‐tweeted episodes as a role‐playing activity, assuming the identity of a character from the series in their tweets. This poster will present an analysis of this practice during the 2019 airing of the final season of GoT. Preliminary results reveal how fans responded to the controversial last episodes, demonstrating how Twitter was used to express their thoughts and feelings regarding the characters, the narrative and its creators. Findings indicate how this innovative use of the digital space represents evolving forms of information sharing. Findings inform ongoing research into the information‐based practices of fans and provides new insights into the evolution of online communities, particularly how loyalty to a shared identity can extend bonds beyond fandom.
Investigating the impacts of family restriction strategy on Chinese children's smartphone use behaviors
Authors: Han Leiqian , Yan Hui 
Published: October 2019

ABSTRACTThis study explores the attitudes, restriction strategies of parents toward children's smartphone use behaviors and their influencing factors in Chinese culture. Through the qualitative analysis from fifteen Chinese parents, the results show that Chinese family strategies with diversified restrictions are significantly influenced by children's behaviors and social environments. The findings of this study pave way for future large‐scale quantitative studies.
Retrieval system enhanced by fine‐grained knowledge entities
Authors: Jiang Chuan , Wang Dongbo , Shen Si 
Published: October 2019

ABSTRACTAlong with the massive increase of academic full texts, users now have a growing need for fine‐grained academic literature retrieval. However, few studies have attempted to build domain knowledge retrieval system for academic literature in information science. Compared with other disciplines, information science pays more attention to the domain knowledge entities sequence including data resources, models and software. To fill the gap, this paper use academic full texts from JASIST. Using SVM, Text‐CNN, Bi‐LSTM and BERT to extract the knowledge entities sequence including data resource, model, software. The highest Precision, Recall and F1 are 92.45%, 93.86% and 93.14%, respectively. And the knowledge entity sequence indexing system is built based on the extracted knowledge entities sequences. It was found that the MRR score of the knowledge entities sequence retrieval system was higher by 13% as compared with the full text retrieval system.
Virtual zenana: Reimagining small world
Authors: Kizhakkethil Priya , Burnett Gary 
Published: October 2019

ABSTRACTThe concept of small world was used to study socio‐economically and informationally poor communities, marked by norms and social types constraining information access. This poster presents a preliminary model of a reconceptualized small world designed to consider a world which is not information poor nor are its inhabitants purposively seeking information. The early stage research study looks at a diaspora small world, a gendered online community that coalesces around a shared interest in reading and writing fan fiction.
Disciplinarity of software papers: A preliminary analysis
Authors: Li Kai , Chen Pei‐Ying , Fang Zhichao 
Published: October 2019

ABSTRACTThe present study investigates the disciplinarity of papers describing scientific software (i.e., “software papers”) as the first step to gain a deeper understanding of how science is operated in its material and practice bases. The preliminary analysis mapped 768 software papers in the Journal of Statistical Software and about 57,000 papers that cited them to the five knowledge domains in the CWTS classification system and traced how these papers are cited within and across disciplinary boundaries.
Does citation content of references from different disciplines demonstrate same distribution pattern?
Authors: Liu Lifan , Wang Yuzhuo , Zhang Chengzhi 
Published: October 2019

ABSTRACTCitation in academic articles is an important expression of knowledge flow between different disciplines. Analysis of citation content of references from different disciplines can help scholars to understand the role of various disciplines in knowledge flow. This study identifies the discipline of references in academic articles, and then explores the distribution pattern, including cited frequency and cited position (different type of section), of citation content of these references from different disciplines. Finally, we conclude that distribution patterns of different disciplines are different in knowledge flow. Although most references come from natural science, the humanities and social sciences still play an important role in the introduction and background. Basic disciplines like Mathematics are the main providers of methods, and some disciplines relevant to the research topic, like Nursing and Medicine in PLOS, provide more support for the results part of articles.
Mining knowledge entities in mHealth literature
Authors: Park Min Sook , Park Hyejin 
Published: October 2019

ABSTRACTThis study introduces a work in progress project that demonstrates how research trends can be captured by mining domain knowledge entities in scholarly articles. From Web of Science, 5,600 mHealth related journal articles published between 2008 and 2018 were downloaded and analyzed. The preliminary results demonstrate how text mining techniques facilitate capturing knowledge transit in mHealth.
What will influence users' knowledge sharing behavior in the social Q&A community?
Authors: Song Zhijun , Dong Qingxing , Cao Gaohui , Chen Ye 
Published: October 2019

ABSTRACTThe social Q&A community, as one of the most popular platforms of knowledge sharing, now faces user churn and slower growth in new active user numbers. To some extent, the main problem concealing in the decrease of growth is the lack of knowledge contribution from the users, which is the most attractive function of the social Q&A community. Thus the key point of tackling this problem is to explore which factors influence users' knowledge sharing behavior. Based on social capital theory and social exchange theory, this study constructs a regression model and collects empirical data to investigate the influencing factors of users' knowledge sharing behavior. It is found that the increment of users' centrality, harvest and users' trust toward the community lead to more and better shared‐knowledge. However, the increase in users' reputation has a significant negative impact on the quantity and quality of their behavior. The theoretical and practical implications derived from the findings are further discussed.
An initial study of information behavior in Pokemon Go
Authors: Srinivasan Krishna , Tan Marcus Lee Kiang , Peh Derrick Chin Kiat , Goh Dion Hoe‐Lian , Lee Chei Sian 
Published: October 2019

ABSTRACTThis paper presents a preliminary study of issues pertaining to the information needs, sources and behaviors of Pokemon Go players. Participants were found to be passive in the fulfillment of their information needs and they expressed a willingness to share information with others.
Moving from assumptions to evidence: Assessing quality in online courses in a master of information program
Authors: Stoerger Sharon , Pavlovsky Lilia 
Published: October 2019

ABSTRACTCreating opportunities that encourage and support student learning is at the heart of what instructors do. At the same time, LIS programs are attempting to keep up with and navigate a rapidly changing educational landscape. The types of students who enroll in and graduate from our programs are becoming more diverse, as are their needs. This also is true of the employers who are hiring our graduates. Further, concerns have been raised about student debt and the value of the degree. Linking these issues to the quality of the program and more specifically the courses themselves is key. This poster discusses an attempt to develop a proactive structure to formally assess the quality of the online courses in the Master of Information program at Rutgers, The State University of New Jersey.
Professional and institutional support for RDM: A case of the National Institutes of Health (NIH)
Authors: Syn Sue Yeon , Kim Soojung 
Published: October 2019

ABSTRACTThis study explored biomedical researchers' Research Data Management (RDM) practices and investigated how institute and professional services support their practices through the RDM processes with a case of NIH. It was found that institutional information technology (IT) and library services are focused on certain stages of RDM processes. Also, it was found that having a close collaboration among service units within an institute is important to maximize their resources for services, reduce duplicated services, and publicize their services to a wider range of users.
#Cyberbullying in the digital age: Exploring people's opinions with text mining
Authors: Tahamtan Iman , Huang Li‐Min 
Published: October 2019

ABSTRACTThis study used text mining to investigate people's insights about cyberbullying. English‐language tweets were collected and analyzed by R software. Our analysis demonstrated three major themes: (a) the major actions that needed to be taken into consideration (e.g. guiding parents and teachers to cyberbullying prevention, funding schools to cope with cyberbullying), (b) certain events that were important to people (e.g. the Michigan cyberbullying law), and (c) people's major concerns in this regard (e.g. mental health issues among students). Parents and teachers have an important role in educating, informing, warning, preventing, and protecting against cyberbullying behaviors. The frequency of negative sentiments was almost 2.45 times more than positive sentiments.
Repurposing: Another R to prioritize in data curation
Authors: Twidale Michael , Blake Catherine , Souden Maria , Stelmack Jenifer , Kim Jenna 
Published: October 2019

ABSTRACTData repurposing has great potential for innovative research. But there are distinct risks of researchers outside the group who originally collected the data misunderstanding the actual meaning of particular fields and values. These meanings may not be sufficiently well documented, as those within the collecting group know what is really meant in the context of the original purposes of collection.
Assessing the informativeness of user reviews on mobile health applications for chronic diseases
Authors: Wang Shengang , Lee Hyun Seung , Choi Wonchan 
Published: October 2019

ABSTRACTWith advances in mobile health (mHealth) technology and growing ownership of smartphones, mHealth applications have great potential to support patients' self‐management of chronic diseases such as diabetes and hypertension. Informative consumer reviews on app stores (e.g., Google Play) are a useful source of information for app developers to understand users' needs and for users to select a pertinent app over similar alternatives. This poster reports preliminary findings of a study that explores factors affecting the informativeness of consumer reviews using a feature‐centered rating scale. The results show that consumer ratings and the length of consumer reviews are both correlated with informativeness. These findings will contribute to filtering informative reviews for future in‐depth analyses of app features.
Order effect on relevance judgment: An exploratory study on the detection of quantum interference
Authors: Wang Zhihong , Cao Shujin 
Published: October 2019

ABSTRACTThis poster explores the existence of order effect on relevance judgment, especially the interference of one document on the other while evaluating the relevance. A between‐subject experiment with 78 undergraduate students was reported. The results demonstrated the statistically significant existence of order effect for some topics and spotted quantum interference while evaluating the relevance of documents. This preliminary study provides insights into how documents' evaluation is contextualized and interdependent with each other. It has some implications for future theoretical and practical research on the human cognitive aspect of relevance judgment in information retrieval.
Mapping the state of community libraries: An empirical study in Hubei Province
Authors: Wang Chunying , Yuan Zhenzhen , Huang Ruhua , Chen Jiangping 
Published: October 2019

ABSTRACTThis study aims to improve understanding of the state of the community library, to identify challenges in development, and to propose corresponding solutions. This paper uses questionnaires and semi‐structured interviews to investigate the development status of 164 community libraries in Hubei Province. The survey results show that community libraries in Hubei province grow rapidly in recent years. And some them have established close interactions with residents. However, they still face a number of challenges, such as shortage of collections, lack of funding, Lack of qualified library staff, limited programs, insufficient rules and regulations, and poor infrastructure.
Vulnerability and meeting the needs of people experiencing homelessness in public libraries
Authors: Williams Rachel D. 
Published: October 2019

ABSTRACTThis study examines how public library workers navigate professional boundaries when providing information services to people experiencing homelessness. Relying on interviews with twenty‐four library staff at three public library systems in the Midwest United States and Gieryn's (1983) boundary work theory, this project focuses on the information public librarians provide to people experiencing homelessness. It also argues that public librarians navigate tensions in professional and personal boundaries, and that some of these tensions can be attributed to perceptions of vulnerability in both themselves and in the patrons they assist. The paper concludes by making arguments to consider the importance of self‐care and building resilience in the profession of public librarianship. It also suggests the value of partnerships that enable public library staff to re‐conceptualize what their professional roles entail.