bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lay individuals' perceptions of artificial intelligence (AI)‐empowered healthcare systems
Authors: Zhang Zhan , Genc Yegin , Xing Aiwen , Wang Dakuo , Fan Xiangmin , Citardi Daniel 
Published: October 2020

AbstractWith the recent advances in Artificial Intelligence (AI) technology, patient‐facing applications have started embodying this novel technology to deliver timely healthcare information and services to the patient. However, little is known about lay individuals' perceptions and acceptance of AI‐driven, patient‐facing health systems. In this study, we conducted a survey with 203 participants to investigate their perceptions about using AI to consult information related to their diagnostic results and what factors influence their perceptions. Our results showed that despite the awareness and experience of patient‐facing AI systems being low amongst our participants, people had a generally positive attitude towards such systems. A majority of participants indicated a high level of comfortability and willingness to use health AI systems, and agreed AI could help them comprehend diagnostic results. Several intrinsic factors, such as education background and technology literacy, play an important role in people's perceptions of using AI to comprehend diagnostic results. In particular, people with high technology and health literacy, and education levels had more experiences with using AI and tended to trust AI outputs. We conclude this paper by discussing the implications of this work, with an emphasis on enhancing the trustworthiness of AI and bridging the digital divide.
Success factors affecting digital literacy training initiatives led by local community organizations
Authors: Detlor Brian , Julien Heidi 
Published: October 2020

AbstractThis paper describes an in‐progress research study investigating the factors affecting the success of digital literacy training initiatives led by local community organizations, including public libraries. Data were collected from two public libraries and five community organizations in two cities in Canada. Data collection comprised interviews with 14 administrators, six training instructors, 20 clients of training programs, the analysis of training documents, observations of six training sessions, and a survey administered to 20 clients. The study involved two rounds of data analysis. The first round is complete. The second round is currently underway and its results, in addition to those from the first round, will be disseminated at the ASIS&T Annual Meeting. Goals of the study are to identify factors affecting the success of digital literacy training opportunities led by local community organizations, and to elicit recommendations for practice for local community organizations to follow.
Technology footprints in scientific discovery: Citation contexts of paper‐to‐patent citations
Authors: Hsiao Tzu‐Kun , Torvik Vetle I. 
Published: October 2020

AbstractCitations between papers and patents indicate knowledge transfer between science and technology. This study discusses the function of paper‐to‐patent citations through citation contexts. 7,223 articles having at least one paper‐to‐patent citation are identified from a collection of 2.4 million PubMed Central open access articles. Within 429,698 references cited by the 7,223 articles, 11,165 (2.6%) are paper‐to‐patent citations, while 418,533 (97.4%) are paper‐to‐paper citations. In comparison to paper‐to‐paper citations, paper‐to‐patent citations were more concentrated at the beginning of articles. Higher proportions of patents are cited in the introduction and methods sections and are only cited once. The results indicate that patents are likely to be cited for providing background knowledge. The appearance of paper‐to‐patent citations in the method sections implies that patents might also contribute to the development of research methods.
Integrating motives and usability to examine community crowdsourcing
Authors: Lee Chei Sian , Goh Dion Hoe‐Lian , Zhou Quan , Sin Sei‐Ching Joanna , Theng Yin Leng 
Published: October 2020

AbstractIntegrating the notions of public service and intrinsic motivations with usability factors, this study examined the motivational and usability factors influencing intention to help via a community crowdsourcing app. Hierarchical linear regression analysis indicated that creating an engaging and useful app that appeals to needs for commitment, and intrinsic needs to participate in valuable acts motivated users to use the community crowdsourcing app to help others.
A preliminary investigation of COVID‐19 transmission in the United States by incorporating social media sentiments
Authors: Tan Tianyi , Huang Teng , Wang Xi , Zuo Zhiya 
Published: October 2020

AbstractCOVID‐19 has now become a global pandemic. During the widespread of COVID‐19, Twitter, as an online social media platform, has been a preferred channel for interaction and communication. As a result, it provides huge amount of information from which latent signals such as sentiments can be mined for a better understanding of COVID‐19 transmission patterns. As a preliminary attempt, we reveal a strongly positive zero‐order correlation between sentiments of tweets and COVID‐19 confirmed cases in U.S. Considering the unique hierarchical structure of the U.S. government, state governments exert their own power to issue public health policies. Indeed, there are different patterns of correlations between sentiments and COVID‐19 confirmed cases, affirming that country‐level characteristics suppress that of state‐level. Diving deeper into the textual content of COVID‐19 related tweets, there manifests a diverse set of topics which in turn lead to dispersed sentiments. Our preliminary investigation paves the way for a finer‐grained analysis of the COVID‐19 transmission and social media activities by considering varying situations across states and topics.
An exploratory study using mindfulness meditation apps to buffer workplace technostress and information overload
Authors: Houli Daniel , Radford Marie 
Published: October 2020

AbstractInformation and Communication Technologies (ICTs) have revolutionized the effectiveness and productivity of business and employees. However, ICTs engender stress, including Technostress and Information Overload (IO), which has negative effects on employees' mental and physical well‐being. Companies increasingly are moving toward further integration of ICTs, expedited greatly by the global effects of the COVID‐19 pandemic. To buffer the effects of workplace stress, the authors propose to investigate how app‐based Mindfulness Meditation (MM) can effectively assist individuals dealing with ICTs' negative effects. A preliminary study, involving one IT employee and the popular app “Calm” was conducted to determine the design of a larger, more robust study.
LGBTQ+ individuals seeking information and support from online communities to navigate unpleasant emotions
Authors: Jia Romy Menghao , Du Jia Tina , Zhao Yuxiang (Chris) , Velasquez Diane 
Published: October 2020

AbstractAs part of an ongoing project, this paper investigates the LGBTQ+ individual's emotions they expressed when seeking information and support in online communities by analyzing online user generated posts in LGBT Chats & Forums. Sixty‐one posts that contained emotional texts were coded using content analysis. Seven categories of emotions emerged from the analysis: fear, uncertainty, sadness, anger, shame, joy and others. The results show that emotions LGBTQ+ individuals expressed in their online requests are often unpleasant and evoked their needs of informational and emotional supports. The findings contribute to the existing knowledge of how LGBTQ+ individuals cope with unpleasant emotions and how online communities can better support sexual and gender minority people.
Analysis of topics in storytime books based on text mining: Preliminary findings
Authors: Joo Soohyung , Cahill Maria , Ingram Erin 
Published: October 2020

AbstractThis poster presents some preliminary findings from an on‐going study that explores the content of storytime books using text mining procedures. We analyzed 429 books recommended for public library storytime programs. For each, we collected two sources of text from the WorldCat database: abstracts and subject terms. Multiple textual analysis methods were employed, including term frequency, bi‐grams, term co‐occurrences, LDA topic modeling, and sentiment analysis. The preliminary findings identified different topics and genres covered in storytime books. The study found educational elements in storytime books, such as alphabet, numbers, and colors. In addition, books in storytimes involve various aspects of sentiment.
Implementing standardized rights statements in a digitized community archive
Authors: Matusiak Krystyna K. , Werling Sarah 
Published: October 2020

AbstractDigitization offers an opportunity to expand access to unique historical materials in community archives but requires determining the copyright of items shared in digital collections. The copyright status of cultural heritage materials in community archives is difficult to evaluate because of limited documentation on authorship and creation date. This poster presents the findings from the study that analyzed the distribution of standardized rights statements assigned to the digitized objects in the Park County Local History Digital Archive. The process involved evaluating copyright status of published and unpublished materials and assigning standardized rights statements from RightsStatements.org. The types of applied rights statements and their frequency were analyzed using a Python script. The findings indicate the implementation of six different standardized rights statements and frequent use of the statements “Copyright not evaluated,” “Copyright undetermined,” and “In copyright—rights‐holder(s) unlocatable or unidentifiable.” Relatively few items were identified as being in public domain.
Online information grounds by urban newcomers in China
Authors: Sun Honglei Lia , Wang Meng , Zheng Jianming , Li Yang 
Published: October 2020

AbstractNowadays, many Chinese cities have experienced “population inversion,” migrants have become the majority population of some Chinese cities. To gain insights into the urban newcomers' online information ground (OIG) in China, we interviewed 10 urban newcomers in China though Wechat (an instant messaging service) and employed content analysis to analyze what are the characteristics of Chinese urban newcomers' OIG. The preliminary findings show that the online task‐forced group is an extension of information ground; OIG becomes the main information resource for urban newcomers and helps them settle down quickly; OIG is relatively temporary.
Grounding practice in theory: Exploring the education angle
Authors: VanScoy Amy , Julien Heidi , Harding Alison 
Published: October 2020

AbstractPreparing future information professionals includes educating them about relevant theories and models. This study explores the extent to which education for information services draws on information behavior theories, models, and concepts, particularly how instructors' choices influence the integration of information behavior into their basic reference course. Building on previous research that analyzed the syllabi and readings for basic reference courses, this study used semi‐structured interviews to explore how information behavior may be integrated into courses in ways that are not visible in the syllabus and why certain theories were more likely to be presented in the course. The 17 instructors interviewed included tenure‐track faculty, lecturers, and adjuncts who integrated information behavior theories, models, and concepts to varying degrees in their courses. By showing how choices are made to integrate theories, models, and concepts in LIS courses, the study results may inform both researchers and instructors who week to bridge the theory/practice gap.
Examining social media communication about childhood vaccination: An analysis using question‐answer data from Quora
Authors: Lee Kijung 
Published: October 2020

AbstractIn this project, we conducted a quasi‐experimental study to demonstrate the effects of “answerer's profession (IV1)” and “factual arguments in the answer (IV2) on the “user's promotion for healthcare answers (DV)”. The data was collected from Quora based on a question about childhood vaccination. Findings suggest that the number of upvotes given to answers by healthcare professional versus those provided by lay users depends upon whether their answers contain factual arguments or not, F(1, 96) = 5.229, p < .05. Generally, answers provided by healthcare professionals received higher upvotes than those provided by answerers who are not healthcare professionals. Also, when there were factual arguments in the answers, they received more upvotes than answers without them.
Protecting participant privacy while maintaining content and context: Challenges in qualitative data De‐identification and sharing
Authors: Myers Claire A. , Long Shelby E. , Polasek Faye O. 
Published: October 2020

AbstractThe Library Assessment for Research and Scholarship Lab investigates qualitative research support across disciplines. In 2018–2019, the lab conducted 29 interviews with faculty, librarians, and doctoral students who engaged in qualitative research to understand their needs during the research lifecycle. At the conclusion of this project, the qualitative data will be deposited in a repository where it can be made available for future secondary use. The deposited data will include de‐identified versions of the complete interview transcripts. This poster supplements existing de‐identification standards, details drafting and revising protocol for de‐identification of our data, and discusses the de‐identification process we used for the qualitative data. Existing de‐identification literature and standards are limited and not widely uniform in qualitative research. In developing de‐identification protocol, our lab recognized several potential challenges in the process and created procedures to ensure future data usability. There is inherent tension between keeping privacy intact and sharing undistorted qualitative data. We aim to address some of the hazards with de‐identification best practices, demonstrating methodology for producing high quality de‐identified qualitative data. In offering up a test case with suggested methods to better protect participants' identities, this work will lend itself to sustainable qualitative data sharing and reuse.
Right this way: Exploring the use of mobile maps in Street‐Level wayfinding
Authors: Noone Rebecca 
Published: October 2020

AbstractThe poster explores practices of street‐level wayfinding mediated through the mobile digital map. To study everyday wayfinding, I approached people in the streets of Toronto, New York, Amsterdam and London, and asked for directions, requesting they draw their instructions. In total, I collected 220 drawings and corresponding observational fieldnotes, along with 20 supplemental interviews. Following collection, I used visual grounded theory (Konecki, Revija Za Socilologiju, 2011, 41, 131–160) and situational analysis (Clarke, Situational analysis: Grounded theory after the postmodern turn, 2005) to analyze the data, concentrating on encounters in which informants used a mobile mapping platform. The poster showcases a selection of the visual dataset and presents a theoretical framework for assessing the everyday applications of mobile mapping platforms such as Google Maps in relation to presumptions of reliability, seamlessness, and claims to space.
Librarians' attitude toward providing environmental literacy services in the states of California, Florida, and Georgia
Authors: Ren Xiaoai 
Published: October 2020

AbstractIn 2018, American Library Association identified sustainability as a major national trend and sustainability was added into the list of the core values of librarianship. The core values are the foundations of modern librarianship. Based on this value, libraries play an important and unique role in promoting community awareness about resilience, climate change and a sustainable future. They are also leading by example by taking steps to reduce their environmental footprint. The goal of this study is to understand librarians' perceptions of their roles and responsibilities in providing environmental literacy services in their communities, and to identify their current practices in providing educational literacy services, and the perceived challenges in doing so in the states of California, Florida, and Georgia. The findings will uncover the current environmental literacy services in libraries, librarian's perceptions of libraries' roles and responsibility for building sustainable and resilient communities in terms of climate change. It will also contribute to the discussions on grassroots community‐based activities on social changes amid the discussion of climate change.
A phase II randomized placebo‐controlled trial of pomegranate fruit extract in men with localized prostate cancer undergoing active surveillance
Authors: Jarrard David , Filon Mikolaj , Huang Wei , Havighurst Tom , DeShong Katina , Kim KyungMann , Konety Badrinath R. , Saltzstein Daniel , Mukhtar Hasan , Wollmer Barbara , Suen Chen , House Margaret G. , Parnes Howard L. , Bailey Howard H. 
Published: October 2020

AbstractIntroduction or ObjectiveMen with favorable‐risk prostate cancer (PCa) on active surveillance may benefit from intervention strategies to slow or prevent disease progression and the need for definitive treatment. Pomegranate and its extracts have shown antiproliferative and proapoptotic effects in cell lines and animal models, but its effect on human prostate cancer as a target tissue remain unclear. Objectives of this trial include pomegranate's ability to alter serum and prostate tissue biomarkers and the ability of an active surveillance cohort to adhere to a chemoprevention trial for 1 year.MethodsMen with organ‐confined, favorable‐risk PCa on AS were randomly assigned to receive pomegranate fruit extract (PFE) 1000 mg (n = 15) or placebo (n = 15) once daily for twelve months. Prostate biopsies were performed at study entry and upon completion of the 1‐year intervention. Plasma and urinary biomarkers were analyzed utilizing immunoassays and HPLC. Tissue proteins were assessed by immunohistochemistry (IHC) and measured by automated quantitation.ResultsPFE was well‐tolerated with no significant toxicities. One patient withdrew before study initiation and 29 completed the 1‐year intervention. No differences in plasma insulin‐like growth factor‐1 (IGF‐1) levels, prostate‐specific antigen doubling time, or biopsy kinetics were observed. Metabolites including urolithin A and urolithin A‐gluc were detected more frequently in the PFE arm in both urine and plasma (p < .001 and p = .006, respectively). IHC analyses revealed reductions from baseline in 8‐OHdG (a DNA damage marker) (p = .01) and androgen receptor expression (p = .04) in prostate tumor associated with PFE treatment.ConclusionPFE administration for 12‐month was well‐tolerated and the protocol followed in an active surveillance population. Analyses suggest that PFE contains bioactive compounds capable of altering biomarkers involving oxidative stress and androgen signaling in prostate tumor and normal‐appearing adjacent tissue. No alterations in the IGF axis were noted. This finding of study adherence and target activity provides a rationale for the further investigation of PFE in the active surveillance population.
Higher moments matter! Cross‐sectional (higher) moments and the predictability of stock returns
Authors: Stöckl Sebastian , Kaiser Lars 
Published: October 2020

AbstractIn this paper, we investigate the predictive power of signals imputed from the cross‐section of stock returns—namely cross‐sectional volatility, skewness, and kurtosis—to forecast the time series. Adding to the existing literature, which documents cross‐sectional volatility to forecast a decline in the equity premium with high in‐ and out‐of‐sample predictive power, we highlight the additional role of cross‐sectional skewness and cross‐sectional kurtosis. Applying a principal component approach, we show that cross‐sectional higher moments add statistically and economically significant to the predictive quality of cross‐sectional volatility by stabilizing its predictive performance and yielding a positive trend in in‐sample and out‐of‐sample predictive quality for the equity premium. Additionally, we show that cross‐sectional skewness and cross‐sectional kurtosis span the predictive power of cross‐sectional volatility for disaggregated returns with respect to size and value.
Traffic noise exposure, cognitive decline, and amyloid‐beta pathology in an AD mouse model
Authors: Karem Hadil , Mehla Jogender , Kolb Bryan E. , Mohajerani Majid H. 
Published: October 2020

AbstractConcerns are growing that exposure to environmental pollutants, such as traffic noise, might cause cognitive impairments and predispose individuals toward the development of Alzheimer's disease (AD) dementia. In this study in a knock‐in mouse model of AD, we investigated how chronic traffic noise exposure (CTNE) impacts cognitive performance and amyloid‐beta (Aβ) pathology. A group of APPNL‐G‐F/NL‐G‐F mice was exposed to CTNE (70 dBA, 8 hr/day for 1 month) and compared with nonexposed counterparts. Following CTNE, an increase in hypothalamic–pituitary–adrenal (HPA) axis responsivity was observed by corticosterone assay of the blood. One month after CTNE, the CTNE group demonstrated impairments in cognitive and motor functions, and indications of anxiety‐like behavior, relative to the control animals. The noise‐exposed group also showed elevated Aβ aggregation, as inferred by a greater number of plaques and larger average plaque size in various regions of the brain, including regions involved in stress regulation. The results support that noise‐associated dysregulation of the neuroendocrine system as a potential risk factor for developing cognitive impairment and Aβ pathology, which should be further investigated in human studies.