bluuebunny/crossref_metadata_2025_split huggingface dataset:
Film content analysis on FIAF cataloguing rules and CEN metadata standards
Authors: Domínguez‐Delgado Rubén , López Hernández María‐Ángeles 
Published: October 2017

ABSTRACTCataloguing manuals published by the International Federation of Film Archives (FIAF) and the film metadata standards EN 15744 and EN 15907 have proven to be really useful for film archives in the process of film cataloguing. However, beyond the technical or formal aspects of films contemplated on these rules, there are some important aspects about the film content analysis which have not been taken into consideration.We are showing with examples and analyzing all the references to the important task of content analysis on the historical evolution of these standards for film archives, discussing about the possibilities of adoption of more film content fields on them, what would suppose better possibilities of retrieval of film information by the users of film archives, adapting to their needs and to the new era.
Using cognitive dissonance theory to understand privacy behavior
Authors: Ghosh Isha , Singh Vivek 
Published: October 2017

ABSTRACTWhile individuals are keen to take advantage of the rewards (e.g., discounts) associated with using location‐based apps on smartphones, they also express concern over location information being disclosed. This imbalance between expressed attitudes and demonstrated behavior has been termed the “privacy paradox.” Current literature examines this phenomenon based on users' interactions with e‐commerce systems; however, given the sensitive nature of location information generated from smartphones, gaining an understanding of this phenomenon as it is demonstrated in daily smartphone usage is important. Based on information gathered from qualitative interviews, we find that evaluation of benefits associated with disclosure do not play as strong a role in motivating disclosure as has previously been suggested. Instead we find that using a behavior‐based approach rather than an investigation of attitudes governing disclosure provides newer insights and a more granular understanding of the privacy paradox. This nuanced understanding can be used to design apps more suited to user privacy needs as well as have implications for further research concerning this phenomenon.
NEURONE: oNlinE inqUiRy experimentatiON systEm
Authors: González‐Ibáñez Roberto , Gacitúa Daniel , Sormunen Eero , Kiili Carita 
Published: October 2017

ABSTRACTIn this poster we introduce NEURONE, an open source web‐based system for assessing online inquiry competences (OIC). NEURONE is a fully customizable solution that can be adapted to different research conditions through eight modules and a set of tools. To date, NEURONE has been successfully used to implement, deploy and run an online assessment contextualized in a pretest‐posttest study design, in which nearly 1400 sessions were conducted with 350 elementary school students in their early adolescence.
Seeking ways to our transgender bodies, by ourselves: Rationalizing transgender‐specific health information behaviors
Authors: Hawkins Blake , Gieseking Jen Jack 
Published: October 2017

ABSTRACTTransgender people have typically been pooled in studies on lesbian, gay, bisexual, transgender and queer (LGBTQ) health information behavior. We, however, argue that transgender people have unique health needs and context that differ from LGBQ people. To demonstrate our argument, we are using the transitioning process from male‐to‐female or female‐to‐male as a case study. We are using data currently being analyzed from Tumblr to demonstrate how their process of seeking health information differs from LGBQ and highlights why information science needs to better understand this population and their information needs.
Case studies on open innovation in libraries
Authors: Henkel Maria , Ilhan Aylin , Mainka Agnes , Stock Wolfgang G. 
Published: October 2017

ABSTRACTOpen innovation (sometimes also called design thinking, user participation or co‐creation) means the participation of an institution's stakeholders (customers, suppliers, competitors, etc.) in its innovation processes. Concerning libraries, open innovation integrates the views of users (as customers), software houses or design companies (as suppliers) as well as other libraries (as competitors) into the development strategy of a library. Innovation processes include information inflows (application of external knowledge in the innovating library) and information outflows (dissemination of internal knowledge for reuse in other institutions). Innovations happen on a large scale (for instance, planning new library buildings) as well as on a small scale (e.g., modifying an existing library service). The poster will present the open innovation framework, methods used, results of a questionnaire and will introduce paradigmatic case studies of open innovation in libraries. In addition, we will use the poster to invite conference attendees to share their own experiences and opinions.
Linking scholarly literature to research data and software ‐ lessons learned in astronomy
Authors: Henneken Edwin A. 
Published: October 2017

ABSTRACTPublishing articles in scholarly journals is essential to furthering science. However, it is only one stage in the research cycle; one of the later stages, actually. After formulating a research goal, typically one or more proposals are written. When accepted, data is gathered, processed and compared to existing data and literature. Software plays an essential role in the data processing and comparison process. Often, before articles are published, papers and posters are presented at conferences. In short, there is a plethora of “products” associated with the entire research lifecycle. An essential ingredient in this cycle is the ability to find literature and associated products that were used to create it. Reproducibility of and the ability to add to existing results should be the norm, not the exception, for robust scientific research. Discoverability of data products and software needs an infrastructure and a culture. Astronomy has a long tradition of sharing data, but there is still a lot of work to do. Having this infrastructure will not only support discoverability, it will also enable measurement of impact and proper attribution. Both elements will help in getting funding for future research, which completes the cycle.
Exploiting graph‐based data to realize new functionalities for scholar‐built worksets
Authors: Jett Jacob , Cole Timothy W. , Downie J. Stephen 
Published: October 2017

ABSTRACTIn this poster, we describe how the HathiTrust Research Center (HTRC) is developing a graph‐based approach to representing scholar‐built worksets in the HTRC's research workflows. The use of named graphs to express relationships among worksets, workset items (volumes and pages) and relevant external resources and to manage ownership, version control and access to worksets aligns well with HTRC's non‐consumptive research architecture. In addition to managing scholars' research collections, HTRC workset graphs also provide a means to link individual workset items to descriptive metadata and allows scholars to annotate their worksets and the items in them.
Perceived usefulness of social media features/elements: Effects of coping style, purpose and system
Authors: Kim Kyung‐Sun , Sin Sei‐Ching Joanna 
Published: October 2017

ABSTRACTDrawing from coping and uses and gratifications theories, the study investigates how individuals' coping style, purposes and features/elements of social media interact and influence the perceived usefulness of social media elements. Over 1,000 undergraduate students in the United States participated in the study. Data are collected through an online survey. Findings and implications are discussed.
Does collaboration bring high‐impact studies? A preliminary study
Authors: Lu Chao , Bu Yi , Zhang Chenwei , Ding Ying , Torvik Vetle I. , Zhang Chengzhi 
Published: October 2017

ABSTRACTTeam formation becomes important when scientific collaborations become common and important to scholars. This study initially tries to understand how research team size may influence the impact of a study measured by number of citations. Thus, publications in the biology domain are specifically investigated by correlation analysis between team size and scientific impact. The weak correlation suggests that larger team size can positively increase the impact of scientific publications on average; however, it cannot literally bring more highly cited articles.
Using visual analytics to combat cyberbullying in New Jersey schools
Authors: Ryan Lindy , Gratale Sierra 
Published: October 2017

ABSTRACTThe rising and rapid adoption of social media has affected numerous digital behavior changes over the past several years, particularly among adolescent users. Among these, cyberbullying has become an increasingly disruptive and dangerous problem, with effects ranging from increased online aggression to psychological distress and negative effects on academic performance. This study explores the impact of school‐level environmental factors such as demographics and unique student populations on cyberbullying behaviors. Specifically, this study utilized a survey and visual analytics to examine cyberbullying among 882 middle and high‐school students (380 boys and 502 girls) in two New Jersey districts. Findings revealed that broad cyberbullying statistics might not be applicable at individual school level behaviors. Specifically, boys may experience more cyberbullying than girls, victimization may occur predictively in peak grades and both genders may underreport, especially in higher grades.
Illuminating human‐rare historic book interaction
Authors: Sonnenwald Diane H. , McElligott Jason 
Published: October 2017

ABSTRACTThis presentation showcases research that is investigating human‐rare historic book interaction in order to develop a theoretical framework that takes into account the materiality of rare books and will form a foundation for technology requirements that will allow individuals to more fully experience rare historic books through the use of virtual or augmented reality technology.
The data sharing practices and challenges in Uganda
Authors: Tomusange Isaac , Yoon Ayoung , Mukasa Norman 
Published: October 2017

ABSTRACTWith the rapid development and increased use of information and communication technology (ICT), the demand for data sharing and reuse is growing even in developing countries. This study aims to contribute to the recently emerging discussions on data sharing in developing countries with a focus on the case of Uganda. The goal of this study is to uncover the current practices of and efforts for data sharing in the public sector in Uganda and to understand the relevant stakeholders' perceptions of data sharing and reuse practices/services.
Data ecosystem in self‐tracking health and wellness apps
Authors: Trace Ciaran B. , Cruz Katherine , Yonemaru Daiki , Zhang Yan 
Published: October 2017

ABSTRACTTo understand information behavior associated with self‐tracking and to facilitate exploration of various issues associated with quantified‐self data, such as data quality and data sharing, to name a few, we logged the data in self‐tracking health and wellness apps. Specifically, we selected 10 of the most popular health and wellness self‐tracking apps for both iOS and Android platforms, used these apps for a period of time, and logged data input into, generated by and exported out of the apps. The data were then grouped into categories and mapped to form a data ecosystem that can be queried to reveal latent research opportunities.
Analyzing patterns of contribution to user‐generated tag hierarchies based on core user types
Authors: Yang Yuyu , Zhang Pengyi 
Published: October 2017

ABSTRACTWidely applied social tagging systems with semantic relations created by users have not been fully explored. This study aims to explore user types and their contribution during construction of the tag hierarchy of Zhihu.com, a social Q&A website in China. We conducted log analysis on 284,018 log records crawled from the website, conducted statistical analysis, social network and temporal analysis. Results show that there are four user types based on user editing preference: concept creator, concept reviser, relation editor and extensive contributor. Results suggest that there are plenty of differences between the four types, including the amount of contribution, the influence on collaboration and the temporal pattern. It was learned that relation editors play a most important role during the construction and extensive contributors contributed most on average. Besides, concept creators' activity level decreased from the beginning and concept revisers have a relatively stable activity pattern. These findings shed light on user contribution patterns during the collaborative construction of tag hierarchies.
Research collaboration prediction and recommendation based on network embedding in co‐authorship networks
Authors: Zhang Jinzhu 
Published: October 2017

ABSTRACTIn large‐scale datasets, the researchers' multiple features need to be learned automatically instead of manually defined and enumerated, to improve the efficiency and effect of research collaboration prediction and recommendation. This paper applies the network embedding method to learn the context of each researcher by which the semantic similarities among researchers are calculated. Firstly, the co‐authorship network is built in a large‐scale dataset where research collaborations are denoted by co‐authorships. Then the researchers' semantic contexts in the network are learned by the network embedding method based on deep learning, and each researcher's dense, low‐dimensional vector is formed. Finally, the semantic similarities among researchers are calculated through vector similarity indices and quantitatively compared by link prediction. Experiments in the field of library and information science (LIS) verify that the method can improve the accuracy and effectiveness of research collaboration prediction and recommendation.
Feasibility of infrared tracking of beating heart motion for robotic assisted beating heart surgery
Authors: Mansouri Saeed , Farahmand Farzam , Vossoughi Gholamreza , Ghavidel Alireza Alizadeh , Rezayat Mostafa 
Published: October 2017

AbstractBackgroundAccurate tracking of the heart surface motion is a major requirement for robot assisted beating heart surgery.MethodThe feasibility of a stereo infrared tracking system for measuring the free beating heart motion was investigated by experiments on a heart motion simulator, as well as model surgery on a dog.ResultsSimulator experiments revealed a high tracking accuracy (81 μm root mean square error) when the capturing times were synchronized and the tracker pointed at the target from a 100 cm distance. The animal experiment revealed the applicability of the infrared tracker with passive markers in practical heart surgery conditions.ConclusionWith the current technology, infrared tracking with passive markers might be the optimal solution for accurate, fast, and reliable tracking of heart motion during robot assisted beating heart surgery.
The Effects of Platelet-Derived Growth Factor-BB on Human Dental Pulp Stem Cells Mediated Dentin-Pulp Complex Regeneration
Authors: Zhang Maolin , Jiang Fei , Zhang Xiaochen , Wang Shaoyi , Jin Yuqin , Zhang Wenjie , Jiang Xinquan 
Published: October 2017

Abstract
Dentin-pulp complex regeneration is a promising alternative treatment for the irreversible pulpitis caused by tooth trauma or dental caries. This process mainly relies on the recruitment of endogenous or the transplanted dental pulp stem cells (DPSCs) to guide dentin-pulp tissue formation. Platelet-derived growth factor (PDGF), a well-known potent mitogenic, angiogenic, and chemoattractive agent, has been widely used in tissue regeneration. However, the mechanisms underlying the therapeutic effects of PDGF on dentin-pulp complex regeneration are still unclear. In this study, we tested the effect of PDGF-BB on dentin-pulp tissue regeneration by establishing PDGF-BB gene-modified human dental pulp stem cells (hDPSCs) using a lentivirus. Our results showed that PDGF-BB can significantly enhance hDPSC proliferation and odontoblastic differentiation. Furthermore, PDGF-BB and vascular endothelial growth factor (VEGF) secreted by hDPSCs enhanced angiogenesis. The chemoattractive effect of PDGF-BB on hDPSCs was also confirmed using a Transwell chemotactic migration model. We further determined that PDGF-BB facilitates hDPSCs migration via the activation of the phosphatidylinositol 3 kinase (PI3K)/Akt signaling pathway. In vivo, CM-DiI-labeled hDPSCs were injected subcutaneously into mice, and our results showed that more labeled cells were recruited to the sites implanted with calcium phosphate cement scaffolds containing PDGF-BB gene-modified hDPSCs. Finally, the tissue-engineered complexes were implanted subcutaneously in mice for 12 weeks, the Lenti-PDGF group generated more dentin-like mineralized tissue which showed positive staining for the DSPP protein, similar to tooth dentin tissue, and was surrounded by highly vascularized dental pulp-like connective tissue. Taken together, our data demonstrated that the PDGF-BB possesses a powerful function in prompting stem cell-based dentin-pulp tissue regeneration.
Assessing students' disciplinary and interdisciplinary understanding of global carbon cycling
Authors: You Hye Sun , Marshall Jill A. , Delgado Cesar 
Published: October 2017

AbstractGlobal carbon cycling describes the movement of carbon through atmosphere, biosphere, geosphere, and hydrosphere; it lies at the heart of climate change and sustainability. To understand the global carbon cycle, students will require interdisciplinary knowledge. While standards documents in science education have long promoted interdisciplinary understanding, our current science education system is still oriented toward single‐discipline‐based learning. Furthermore, there is limited work on interdisciplinary assessment. This article presents the validated Interdisciplinary Science Assessment of Carbon Cycling (ISACC), and reports empirical results of a study of high school and undergraduate students, including an analysis of the relationship between interdisciplinary items and disciplinary items. Many‐faceted Rasch analysis produced detailed information about the relative difficulty of items and estimates of ability levels of students. One‐way ANCOVA was used to analyze differences among three grade levels: high school, college Freshman–Sophomore, college Junior–Senior, with number of science courses as a covariate. Findings indicated significantly higher levels of interdisciplinary understanding among the Freshman–Sophomore group compared to high school students. There was no statistically significant difference between Freshman–Sophomore group and Junior–Senior group. Items assessing interdisciplinary understanding were more difficult than items assessing disciplinary understanding of global carbon cycling; however, interdisciplinary and disciplinary understanding were strongly correlated. This study highlights the importance of interdisciplinary understanding in learning carbon cycling and discusses its potential impacts on science curriculum and teaching practices.
Electronic Waste Generation and Management in the Middle East and North Africa (MENA) Region: Algeria as a Case Study
Authors: Hamouda Karima , Adjroudi Rachid 
Published: October 2017

AbstractElectronic waste (e‐waste) is one of the fastest growing waste streams in the world. Notwithstanding increasing concern worldwide, e‐waste has not yet been discussed in depth in the Middle East and North Africa (MENA) region. This study first reviews the literature regarding the estimation of e‐waste in the MENA region. It then gives an estimate of the past and future trends in the generation of obsolete computers in Algeria. For this purpose, the study combines two models: the Carnegie Mellon model and the market supply (distribution delay) model. The Carnegie Mellon model offers the following options for obsolete computers and monitors: the device could be reused, stored, or discarded. The amounts of devices falling into each category were determined based on these options. The outcomes from the market supply (distribution delay) model show that high amounts of computer and monitor waste were registered for the period from 2014 to 2016.
Temporal‐spatial variations of air pollutants in Lanzhou, Gansu Province, China, during the spring–summer periods, 2014–2016
Authors: Filonchyk Mikalai , Yan Haowen , Hurynovich Volha 
Published: October 2017

AbstractIn this article, we analyzed the mass concentrations of particulate matter 2.5 micrometers (µm) or less in size (PM2.5), particulate matter 10 µm or less in size (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3) in Lanzhou, the capital of Gansu province, China. We analyzed monitoring data collected from five air quality monitoring stations during the spring–summer period from 2014 to 2016. Our comparison of contaminant concentrations and average diurnal, daily, monthly, and annual concentrations revealed that the average concentrations of PM2.5and PM10amounted to 128.57 and 46.4 micrograms per cubic meters (µg/m3), respectively, exceeding the Chinese National Ambient Air Quality Standard (NAAQS). We used the Pearson correlation coefficient to establish connections between particulate matter and gaseous pollutants. The results show significant differences in the concentration levels of airborne pollutants. The Pearson correlation coefficient between PM2.5and PM10had the highest coefficient ofr= 0.842. A correlation between the two particulate matter sizes (PM2.5and PM10) and SO2was PM2.5and SO2r= 0.313; PM10and SO2r= 0.279; and CO and the two particulate matter sizes, PM2.5and COr= 0.304; and PM10and COr= 0.203. The average monthly ratio for the study months of PM2.5to PM10was 0.361. In addition, we used the hybrid single particle Lagrangian integrated trajectory model for tracking sources and pathways of the air pollutants in Lanzhou.
Mainstreaming environmental impact assessment as a tool for environmental management in Ethiopia: Current challenges and directions for future improvements
Authors: Worku Hailu 
Published: October 2017

AbstractThe Environmental Impact Assessment (EIA) was first entered into force in the United States of America in 1969 through the National Environmental Policy Act. Since then, the EIA was implemented in many other countries. In Ethiopia, EIA was formally introduced in 2002 by Proclamation No. 299/2002 after the establishment of the Environmental Protection Authority (EPA) in 1995 and the formulation of the Environmental Policy of Ethiopia (EPE) in 1997. This study, which is based on a document review, interviews, and the application of a survey questionnaire, analyzes the procedures and practices of the Ethiopian EIA system, seeks to clarify fundamental information regarding the EIA system and characteristics of the key elements of EIA processes, and finally, offers suggestions that could improve EIA practices in the country. The overall result of this study shows that Ethiopia adopted EIA procedures that are similar to western models; however, despite approximately 15 years of experience, its implementation is still poor to the point that the use of EIA as an instrument of environmental management could be questioned. The challenges identified by this study include institutional, organizational, and professional capacity gaps, which, in turn, have resulted in constraints ranging from improper screening, scoping, and production of EIA reports to ineffective review, monitoring, and post‐project evaluation. Additional challenges to the system include poor governance and corruption, rapid economic growth, and the mushrooming of micro‐ and small‐scale enterprises that cause pollution and environmental degradation. This article also provides comprehensive suggestions to improve EIA practices in Ethiopia.