bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nutrition Support Therapies on the Medication Administration Record: Impacts on Staff Perception of Nutrition Care
Authors: Citty Sandra W. , Bjarnadottir Ragnhildur I. , Marlowe Belinda Lee , Jones Shannon , Lucero Robert J. , Garvan Cynthia Wilson , Kamel Amir Y. , Westhoff Lynn , Keenan Gail 
Published: October 2020

AbstractBackgroundIt has been reported that many hospitals in the United States have fragmented and ineffective ordering, administration, documentation, and evaluation/monitoring of nutrition therapies. This paper reports on a project to investigate if perceived hospital staff awareness and documentation of nutrition support therapies (NSTs) improves by including them as part of the medication administration record (MAR).MethodsSurveys were conducted with nursing staff, physicians, and dietitians before and after adding NSTs to the MAR to evaluate the perceived impact on the outcome of interest. The outcomes of interest include nurses’ perception of ease of finding information, awareness of an order, and ability to assess administration and documentation and dietitian, nurse, and physician staff perceptions of impact of intervention on aspects of the nutrition care process.ResultsAfter adding NST to the MAR, nursing staff perceived improvement in knowing that their patient had an oral nutritional supplement (ONS) order (P = .01), when and how much product was last administered (P = .01), and documentation of the type of product consumed (P = .01) and volume of product consumed (P = .01). The majority of dietitian and nurses surveyed reported perceived improvement in placing and finding ONS orders, in administration of ONS, in ability to evaluate patient nutrition status, and in ONS intake and a positive impact on clinical practice.ConclusionInclusion of NST in the MAR presents an innovative solution to enhance staff awareness of ordered therapies and perception of improved documentation of nutrition interventions for hospitalized patients.
Selected psychological predictors of medication adherence in the older adults with chronic diseases
Authors: Gruszczyńska Magdalena , Wyszomirska Julia , Daniel‐Sielańczyk Anna , Bąk‐Sosnowska Monika 
Published: October 2020

AbstractAimThe main goal of the study was to assess the significance of selected psychological factors related to the adherence to medication recommendations among the older adults with chronic diseases.DesignIt was designed as a cross‐sectional study, aimed at assessing the importance of selected psychological factors in complying with medication recommendations among older adults.MethodsThe study involved 345 older adults with chronic diseases, assessed the importance of selected psychological factors, such as: health locus of control, stress coping and mindfulness in adhering to medication recommendations older persons. To answer the research questions, we performed frequency analyses, basic descriptive statistics analyses together with the Kolmogorov–Smirnov test, Student's t tests for independent samples, monofactorial analysis of variance in the intergroup diagram, analysis correlation with the Pearson correlation coefficient, Spearman's rank correlation ρ analysis and stepwise linear regression analysis.ResultsThe study identified psychological predictors of medication adherence, which explained 12% of the variability. An emotion‐oriented coping proved to be the most important factor. Additionally, powerful other health locus of control and mindful attention were shown to have a positive effect.
An alternate energy‐conserved pathway for the Morita–Baylis–Hillman reaction
Authors: Yadav Veejendra K. 
Published: October 2020

AbstractAn new overall lower energy pathway for the amine‐catalyzed Morita–Baylis–Hillman reaction is proposed from computations at the M06‐2X/6‐311++G(d,p) level of theory. The pathway involves proton‐transfer from the ammonium ion to the alkoxide formed from the aldol reaction through a seven‐membered ring transition state structure followed by highly exothermic Hofmann elimination through a five‐membered ring transition state structure to form the product and also release the catalyst to carry on with the process all over again.
Generating collective online information sharing: The framing effect of questions on response network
Authors: Wu Qian , Goh Dion Hoe‐Lian , Lee Chei Sian 
Published: October 2020

AbstractCommunity Question‐Answering (CQA) sites are virtual communities where users participate in collective online information sharing. Questions in CQA sites serve as starting points for information sharing, eliciting a response network (RN), where nodes are the postings, while edges represent the responses between postings. This research employed framing theory to investigate how question frames affected their resulting RNs. Question frames were operationalized as conversational and informational. Social network analysis was conducted to explore the RNs of different question frames for both Science, Technology, Engineering and Mathematics (STEM) and non‐STEM communities. Results revealed that most RNs of STEM conversational questions were larger in size and had higher centrality, whereas RNs of informational questions comprised closer relationships between postings. However, no significant differences were found in the non‐STEM community. Our research suggests that community moderators and askers should appropriately utilize question frames to organize information sharing inside CQA communities.
Investigating the article processing charge of journals in the gold open access market: A game theory approach
Authors: Yuan Xiaoqun , Wang Qinggong , Jiang Ming , Liu Yeping , Yang Xin 
Published: October 2020

AbstractAs a promising solution for enhancing knowledge communication as well as alleviating financial pressure of institutional libraries, gold open access (gold OA) has attracted wide attention all over the world. But it is a hard work to fully disclose how the equilibrium article processing charge is established in the gold OA market. To deal with this challenge, this paper firstly formulates the competition among journals in this market as a three‐stage Hotelling duopoly game, which is able to reveal its dynamic and competitive features affected by academic reputation, publication delays and article processing charges of journals. Then backward induction is applied to derive the market equilibria. Finally, an empirical study with 1,346 journals is conducted to verify the credibility of the theoretical solutions. The results show that gold OA journal with relatively higher academic reputation and shorter publication delay could charge higher article processing charge. And the publication delays of gold OA journals tend to cluster together in a limited time interval.
An analysis on competency of human‐centered data science employment
Authors: Wu Dan , Lv Siyu , Xu Hao 
Published: October 2020

AbstractThe rapid rise of data science has brought about the problem of talent gaps and concerns about employment competency development. This paper performed a study on the analysis of data science employment market in the information science context with open data from online recruitment website. In addition to basic qualitative analysis and descriptive statistical summarization of advertisement characteristics, it mainly established a competency framework of data science workforce with the method of content analysis. The objective is through market needs to provide guidance for institutions planning for or revising a major in data science, help bridge the gap between the high demand and low supply of data scientists and enable existing data science teams to operate more efficiently. Our working results indicate that the market is looking for ways in which humans can integrate their roles into data science, and these methods depend on the spread of how to use human‐centered data science and its benefits, the operating mechanism of which is explained by our proposed model.
Bibliometric analysis of the Cibermov database on cyber‐activism (2007‐2018)
Authors: López‐Hernández María‐Ángeles , Domínguez‐Delgado Rubén , Tenorio‐Vázquez Irene 
Published: October 2020

AbstractWe carried out a bibliometric study on web activism, given their absence, for the period between 2007 and 2018, using as a source the Cibermov bibliographic database, created by the documentation service linked to the R&D project Cyber‐activism, digital citizenship and new urban movements, funded by the Government of Spain, as a tool for its members.
eHealth literacy, information sources, and health webpage reading patterns
Authors: Chang Yung‐Sheng , Gwizdka Jacek , Zhang Yan 
Published: October 2020

AbstractA lab‐based experiment was conducted to understand how eHealth literacy and information source affect reading vs. scanning behavior on health webpages. Participants read 15 webpages from commercial, government, and online forum sources while their eye movements were tracked. Negative binomial regression and Kruskal‐Wallis tests revealed that high eHealth literacy participants tend to scan webpages, while low literacy participants tend to read webpages. There were no differences in the tendencies to scan or read among different information sources. Our work shows that observable objective information behavior is attributable to eHealth literacy and may provide additional insights to the measurement of eHealth literacy.
Privacy considerations when predicting mental health using social media
Authors: Wang Tian , Bashir Masooda 
Published: October 2020

ABSTRACTIn recent years the number of individuals struggling with mental illness has increased, and traditional mental health services are now considered insufficient under the current circumstances which has prompted researchers to develop new approaches for mental healthcare. Social media usage is growing, and it is been utilized to help provide additional insight on mental health by using the information shared by individuals, as well as data taken from their social media activity. While this approach may provide a unique and effective perspective for mental health services, it is critical that privacy risks and protections are considered in the process. Social media services collect, process, and stores a substantial amount of information about its users and how that information is shared as well as what type of predictions are made may pose serious privacy concerns. This study aims to understand how privacy is addressed and emphasized during the process of using social media data for mental healthcare by constructing a systematic review on previous scholarly papers related to the topic. Solove's taxonomy of privacy is used to evaluate these publications privacy considerations and to demonstrate the privacy risks that may arise when social media data is used for mental health.
Authorship analysis of English and Spanish tweets
Authors: AlRashdan Mohammed N. , Abdullah Malak , Al‐Ayyoub Mahmoud , Jararweh Yaser 
Published: October 2020

AbstractWith the countless advantages gained from the free, open, and ubiquitous nature of online social networks, they do come with their own set of problems and challenges. E.g., they represent a fertile ground for fake accounts and autonomous bots to spread fake news. Revealing whether some text content is written by a bot or a human would be of great value in the fight against the spreading of fake news and misinformation. In this paper, we address this problem using different Machine Learning (ML) techniques: conventional, Deep Learning (DL) based and Transfer Learning (TL) based. Using the dataset of the well‐known PAN 2019 Author Profiling Task, we show how relatively simple conventional ML methods can outperform DL and TL based ones for different languages (English and Spanish). In fact, our simplest model performs closely to the state‐of‐the‐art (SOTA) systems for the English language and even outperforms the SOTA systems for the Spanish language.
Purpose, completeness, and evidential source: Typological signposts in the collections landscape
Authors: Fenlon Katrina , Grimmer Jessica H. , Thurston Courtnie 
Published: October 2020

AbstractThe diversification of digital scholarship poses significant challenges to integrating non‐traditional products of humanities scholarship—ranging from digital editions and linked data aggregations to software and virtual environments—into established ecosystems for sustaining and preserving scholarly communication. Without a strong understanding of the variety of forms of digital scholarship, it is difficult to establish broadly useful or systematic (and therefore sustainable) approaches to managing diverse digital products throughout their lifecycles. This study illuminates one region of the landscape of digital humanities scholarship by identifying and characterizing different types of scholar‐generated digital collections which make different contributions to scholarship. Through formal typological analysis of approximately 200 scholar‐generated digital humanities research collections, this study offers conceptual handles for understanding the principal purposes and contributions of digital collections, and the implications for evaluation, sustainment, and preservation of digital scholarship.
Scientific data management in the federal government: A case study of NOAA and responsibility for preserving digital data
Authors: Kriesberg Adam , Kowall Jacob 
Published: October 2020

AbstractIn this paper, we examine the ways in which the evolution of federal and agency‐specific data management policies has affected and continues to affect the long‐term preservation of digital scientific data produced by the United States government. After reviewing the existing literature on the role of archival theory and practice in the preservation of scientific data, we present the case of the National Oceanic and Atmospheric Administration (NOAA) to analyze how data management activities at this agency are shaped by legislative mandates as well as both government‐wide and agency‐specific information‐management policies. Through the connected network of law, federal policy, agency policy, and the records schedules which govern recordkeeping practice in the federal government, we propose a number of further questions on how government agencies can effectively provide for the management of scientific data as federal records.
Opening up the black box of scholarly synthesis: Intermediate products, processes, and tools
Authors: Qian Xin , Fenlon Katrina , Lutters Wayne , Chan Joel 
Published: October 2020

AbstractSynthesis is a foundational scholarly product that generates new conceptual wholes from independent intellectual sources. But effective synthesis products—such as literature reviews—are rare, in part due to inadequate support from existing tools and information systems. A detailed, situated understanding of the work practices behind synthesis is necessary to inform the development of synthesis tools. Previous work in scholarly primitives, active reading, and sensemaking provide partial explanations of aspects of synthesis, but a detailed explanation of scholarly synthesis, specifically, is lacking. This paper presents a foundational empirical examination of the work practices behind synthesis to address the gap, focusing on unpacking the intermediate products, processes, and tools through in‐depth contextual interviews with scholars. Results shed light on the distinctive intermediate products generated during synthesis—including in‐source annotations, per‐source summaries, and cross‐source syntheses—as well as effortful processes for nonlinear progression of these intermediate products towards a final synthesis product. These products and practices were also embedded in a complex ecology of creative re‐appropriated tools. This work enriches understanding of the complex scholarly practices that produce synthesis and opens up a research agenda for understanding and supporting scholarly synthesis more generally.
Understanding users' accessing behaviors to local Open Government Data via transaction log analysis
Authors: Xiao Fanghui , Wang Zhendong , He Daqing 
Published: October 2020

AbstractThe rapid development of Open Government Data (OGD) and the increasing attention on data use/reuse have stimulated many studies on data‐related issues. However, the findability of OGD is still one of the major challenges. Aiming to ameliorate the situation that “data is hard to find”, this paper examines OGD users' needs and accessing behaviors when interacting with local OGD portals. Transaction log analysis and web content mining were used in order to obtain insights from large groups of OGD users in an unobtrusive manner. Through analyzing transaction log data from three local OGD portals, including Open Data Philly (opendataphilly.org), Western Pennsylvania Regional Data Center (wprdc.org) and Analyze Boston (data.boston.gov), our study shows that users relied on different channels to enter local OGD portals, and such channels have different impacts on user success in finding the sought‐after data. We also find that OGD users prefer browsing over searching when inside the portals, the utilization of different browsing entries, and users' data needs.
Evaluating the user experience in a digital library
Authors: Barifah Maram , Landoni Monica , Eddakrouri Ayman 
Published: October 2020

AbstractDigital libraries (DLs) have been evaluated implicitly by analyzing the query behavior extracted from the log files (LFs), and explicitly by conducting user studies and usability tests. Unfortunately, such approaches do not fully assess the quality of the user experience (UX). Recently, UX is gaining momentum as a critical success factor across all sectors and became the ultimate criterion to guide user‐centered design. This is why we describe how the Mahlke's interaction UX framework can be adapted to the DL. We conducted a laboratory user study with 65 undergraduate students. Three data collection tools were considered: questionnaires, screen recording, and pick‐a‐mode scale. The findings of the study indicate that considering the UX when evaluating the DL provides useful insights of different aspects of the user interactions, perceptions and affective variables. The need to improve the DL system and simplify its interface still persists. Revisiting interfaces by implementing visualizing techniques is a possible solution.
From way across the sea: Information overload and international students during the COVID‐19 pandemic
Authors: Chang Shanton , McKay Dana , Caidi Nadia , Mendoza Antonette , Gomes Catherine , Ekmekcioglu Cansu 
Published: October 2020

AbstractThis panel examines the interaction between being a transient migrant, using international students as a salient example, and information behaviors in a time of COVID‐19. We address issues such as information overload, selection of information sources, and social networking. The aim of this panel is to bring together interested researchers in the areas of information practices, higher education, and intercultural communication.
My favorite unreliable source? Information sharing and acquisition through informal networks
Authors: Willson Rebekah , Buchanan George , Burnett Gary , Ellison Nicole , Erdelez Sanda , Twidale Michael 
Published: October 2020

AbstractInformal information networks are the personal connections of friends, family and colleagues that people use to help them find information. Recently, a great deal of attention has been paid to social network sites, and other social media, as a key source of information and misinformation in contemporary society. This panel will probe deeper, to investigate the personal connections that underpin and lie behind the social connections visible on social network sites. This issue is of increasing importance as more of our everyday lives are moved online. We will debate what we actually know, and do not know, about how people find information through others, both on‐ and off‐line. From the panel we hope to create a network of scholars interested in creating a research agenda to make informal networks a focus of study going forward.
Open access in the age of a pandemic
Authors: Alemneh Daniel Gelaw , Hawamdeh Suliman , Chang Hsia‐Ching , Rorissa Abebe , Assefa Shimelis , Helge Kris 
Published: October 2020

AbstractThe COVID‐19 pandemic highlighted the importance of transparency, open, and timely access to information. Open Access (OA) has the potential to increase the exposure and use of not only published research but also authoritative and reliable information. The Coronavirus (COVID‐19) impacted the work of journalists, scientists, and doctors while ordinary citizens are seeking trusted information sources and the truth about the new virus. Government and private institutions worldwide are reacting to the new situation where researchers, educators, students, and staff are trying to adjust to remote teaching and learning as well as telecommuting. In March 2020, a message from the White House was sent to the Scholarly Publishing Community asking them to make all COVID‐19 papers openly available and machine readable. Considering the evolving and unresolved issues around OA and scholarly communications, together with the UN 2030 Agenda (a plan of action for sustainable, universal development), this panel brings together diverse perspectives to review the current landscape of OA and shed light on the role it plays in such crises. The panel will also discuss the future implications and impact of the pandemic in the overall advancement of scholarship in general.
Academic library's leadership and stakeholder involvement in research data services
Authors: Kim Jeonghyun 
Published: October 2020

AbstractIn the last decade, academic libraries have made progress in establishing themselves as hubs and leaders for research data services on campus. The importance of collaborating with a range of institutional stakeholders, such as the research or information technology office, as well as external partners in developing and delivering research data policy, services, and infrastructure, has been well‐documented. However, there is less evidence as to how libraries play a crucial role in leadership, whether other stakeholders’ involvement actually makes a difference and if so, how they make a difference. As such, the goal of this study is to explore the academic library's leadership role in research data services and how collaboration and partnership with stakeholders and interested parties might impact the maturity of the research data services the library provides. The secondary analysis of the existing survey data found that libraries offer more mature services when they take a primary responsibility in developing the services. It also found internal stakeholders’ and external partners’ involvement leads to more mature services in the selected activities.
An analysis framework of research frontiers based on the large‐scale open academic graph
Authors: Huang Han , Wang Hongyu , Wang Xiaoguang 
Published: October 2020

AbstractAs a high‐quality and well‐structured dataset, the large‐scale open academic graph formed under the influence of the open science movement has created new research conditions for research frontier analysis. Constructing the analysis framework of research frontiers based on the large‐scale open academic graph can effectively promote the realization of data‐driven knowledge discovery and the analysis and decision‐making of sci‐tech intelligence. The definition and analysis methods of research frontiers were summarized through related studies, and the data structure of the specific open academic graph was investigated. The thoughts and steps of research frontier analysis based on the open academic graph were put forward, and an available analysis framework of research frontiers based on the large‐scale open academic graph was constructed. The proposed framework can achieve deep, relevant and dynamic analysis of research frontiers in various disciplines based on the emerging large‐scale open academic graph. It will provide a novel perspective for performing dynamic analysis across time and space, multidimensional analysis under multiple factors, and multiscale evolution analysis of research frontiers.