bluuebunny/crossref_metadata_2025_split huggingface dataset:
Where Did They Come From? On Global Mobility of Chinese Returnees
Authors: Peng Yingzhen , Lou Wen , He Jiangen , Larivière Vincent 
Published: October 2021

AbstractThis study investigates the scientific mobility of Chinese returnees. Based on an analysis of scientific affiliation data in the Web of Science between 2008 to 2019, the paper explores the distribution of Chinese returnees from temporal and regional perspectives. The results confirm that there is an increasing number of Chinese migrant researchers who return home, and that mainly come back from developed countries.
Makerspaces Designed for All: Creating Equitable and Inclusive Learning Environments in Libraries
Authors: Anderson Amelia , Phillips Abigail L. 
Published: October 2021

AbstractIn this Institute of Museum and Library Services (IMLS) funded study, the authors investigate ways in which to bring about more inclusive and equitable makerspaces in public libraries (Brady, Salas, Nuriddin, Rodgers, Subramaniam, 2014; Yi & Baumann, 2018). Public librarians, librarians with disabilities, and disability self‐advocates were interviewed and took part in focus groups. In doing so, researchers worked to hear directly from members of the disability community and to learn from librarians at the intersection of disability, through their work or through personal experiences. This work‐in‐progress study has completed the majority of its data collection and is beginning in‐depth data analysis. Although still developing themes and takeaways, there has been initial findings that can be of benefit to the larger library and information science (LIS) community. Individuals with different needs and abilities should be represented when designing and providing a makerspace. While this study focuses on public libraries, it has implications for makerspaces in all libraries and similar learning environments.
Preliminary Simulation for Obtaining Accurate Heart Rate Data Using Imputation Methods
Authors: Ramnarine‐Rieks Angela , Deshmukh Avin , Sang Yisi , Lugo Daniel , Xu Sichun 
Published: October 2021

AbstractIncreasingly data acquired from consumer activity trackers are being used by clinicians to monitor and treat patients. There are many reported cases where medical doctors leverage data retrieved from these devices to successfully treat and diagnose patients with heart conditions. In addition, hospitals are testing these devices in clinical trials to support telemedicine. One challenge is sensor susceptibility to distortions, resulting in missingness and impacting on validity. In this study we are exploring optimal methods of imputation through an experimental simulation using heart rate interval data. For this initial methodology we are utilizing Fitbit heart rate data to investigate performances of four imputation methods using 1,000 Monte Carlo runs. Normalized errors from simulated missingness experiments were determined by comparing observed and predicted values. Preliminary findings show that linear and Kalman imputation methods are most appropriate when imputing heart rate data.
A Conceptual Framework of Data (Info) Quality Revisited
Authors: Stewart Brenton , Ju Boryung 
Published: October 2021

AbstractThis study reports a critical assessment of whether the framework of data (information) quality identified by Wang and Strong's (1996) seminal article continues to hold true in a diverse 21st century information environment. Our study attempts to identify the salient changes that have taken place since Wang and Strong's analysis by exploring wiki contributors' perceived information quality on Wikipedia. An online qualitative survey was conducted with 197 respondents who are Wikipedia readers and/or contributors. Our preliminary results from the unidimensional data analysis reveal over 20 information quality dimensions including a new category, with multiple dimensions.
Collaborative Approach to Translating Online Learning Content: Research Data Management Librarian Academy (RDMLA) and National Taiwan University (NTU) Library Translation and Co‐Creation Partnership
Authors: Thomas Ashley , Hu Zhan , Tang Rong 
Published: October 2021

AbstractThe Research Data Management Librarian Academy (RDMLA) is a global professional development online program for librarians and other professionals working in research‐intensive environments. To reach a broader learner community, the RDMLA team established a Chinese translation partnership with the National Taiwan University (NTU) Library in early 2020. Through collaborative problem solving, positive participation, inclusive coordination, and leveraging of teams' strengths, the project has succeeded in its mission, with the translated course due to launch in October 2021. Featuring team workflow illustrations and contributions, this poster covers collaborative translation processes and lessons learned, hoping to inspire similar international partnership projects.
Reddit as a Forum for Social Service Workers
Authors: Tracey Pelle , Rayburn Alexandria 
Published: October 2021

AbstractSocial work professions are increasingly studied as key sites for understanding precarity, affective labor, and the future of care work. However, little research has explored social workers' recordkeeping practices. This study expands on existing research on records and documentation through engaging with users of “R/Socialwork,” a subforum on the internet forum Reddit.com. Utilizing a multimodal approach drawing on participant observation, in‐depth interviewing, and discourse analysis, this research sought to answer the following research question: How do social workers understand their use of and interaction with records? Findings indicated widespread frustration with documentation paradigms in the profession, with variation based on sub‐field and proximity to clinical practice. Users expressed this frustration in a variety of ways, with some utilizing the forum to support entrepreneurial approaches to problems in the field, while others used the site as an alternative form of recordkeeping, documenting their emotional responses.
Moving Past Metadata: Improving Digital Libraries with Content‐Based Methods
Authors: VandenBosch Adrienne , Schmidt Benjamin M. , Matusiak Krystyna K. , Organisciak Peter 
Published: October 2021

AbstractThe growth of text mining and corpus analytic scholarship over large digital libraries brings to light the issues created by text duplication and variation within collections that are not adequately addressed in metadata practices. The SaDDL project was a study examining text duplication and similarity in massive digital library collections. Using the HathiTrust Digital Library, this project aims to reduce the bias that duplication gives rise to. We present the content‐based methods of the project, employing a convolutional neural network classification approach, as well as SaDDL's outcomes. The datasets provided by the project will assist in improving cataloging practice and aid scholars in using large text corpora in research.
Extracting the Implicit Search States from Explicit Behavioral Signals in Complex Search Tasks
Authors: Wang Ben , Liu Jiqun 
Published: October 2021

AbstractIn a complex search task, users often go through different search states during search interactions under complex search tasks. Automatically identify these search states from observable behavioral measures will enhance our understanding of users' cognitive variations and serve as the basis for state‐aware adaptive search recommendations and evaluations. To achieve this goal, this state seeks to extract implicit search states from explicit behavioral signals and explore the possible connection between automatically clustered search states and the existing state typologies developed based on user labeling and expert annotations. The results from our preliminary work indicate that search states and the associated behavioral patterns can be extracted through clustering analysis in multiple datasets, and that the identified clusters/states can be mapped to the states identified via qualitative coding. Our study demonstrates the feasibility of automatically extracting search states and pave the path towards state‐aware adaptive search systems.
Digital Humanities in the Job Market
Authors: Wang Yahan , Zuo Zhiya , Wang Xi 
Published: October 2021

AbstractThis study identifies the degree requirements which employers are looking for and analyzes the common positions in digital humanities job advertisements. Using data from the Digital Humanities Now website from 2012 to 2019, we investigate a total of 933 jobs opening related to the digital humanities field. Total job market demand has been relatively stable, having fallen in the last two years. Our study provides a concrete blueprint for the work needs of digital humanities. We find that internal demand structures of industry and academia is changing over time. Job demands from academia account for about 75%. Most of them needs academic staff and librarians. Data shows that 68% of jobs want PhDs. Digital humanities practitioners should pay close attention to changes in market demand and adjust their professional ability in time. Only in this way can they be well prepared to apply for the job they want.
Understanding New Yorkers' Everyday Life Information Seeking Behavior in the Context of Coping with COVID‐19
Authors: Wu Shuheng 
Published: October 2021

AbstractThis poster presents preliminary findings of a study which examines New Yorkers' everyday life information seeking (ELIS) behavior in the context of coping with COVID‐19. Based on semi‐structured interviews with 10 New Yorkers, this study identified 15 major categories of everyday life information needs, and developed a typology of New Yorkers' preferred ELIS sources. These typologies show New Yorkers' specific ELIS behavior during the pandemic, such as actively seeking information regarding grocery shopping and delivery, health safety guidelines, and current events. Social media became a popular source for immediate, local, and relevant information in New Yorkers' daily lives. These findings could form a knowledge base to inform the development of information services to assist residents of large urban areas in coping with public health crises.
Data Mining on COVID‐19 Vaccines: Side Effects
Authors: You Jing , Shaik Nagma , Chen Haihua 
Published: October 2021

AbstractCOVID‐19 is a pandemic disease affecting billions of people worldwide. Taking vaccines is a most effective approach to gain fully control. Thanks to the coordinated efforts from all over the world, several brands of vaccines targeting COVID‐19 have passed through clinical trials and been brought to the public. Growing numbers of people are taking vaccines and share their feedback on social media, mostly on Twitter. In this study, we used Twitter data to analyze the side effects on each individual and quantify these side effects in a brand‐wise and country‐wise manner. Based on Twitter data, we found that the United States has the largest number of people getting vaccinated, Pfizer is the most widely used vaccine brand around the world and the most frequent side effect is cold. From our analysis, the side effects of vaccines are under controllable and are acceptable, and everyone can join the vaccinated camping without hesitation.
Health Information Seeking on Social Apps among Older Adults Living with Chronic Conditions
Authors: Zhao Mengyuan , Song Shijie , Zhao Yuxiang (Chris) 
Published: October 2021

ABSTRACTOlder adults living with chronic conditions are assumed to have health information needs which further trigger their health information seeking behaviors. Recently, various social apps are increasingly becoming popular among older adults. However, it remains unclear how these older adults seek and evaluate health information in social apps and how the apps support these users’ health information behaviors. By conducting semi‐structured interviews, we explore users’ health information seeking and evaluation behaviors on a popular social app WeChat among Chinese older adults living with chronic conditions.
Tryptophan‐cardanol fluorescent nanoparticles inhibit α‐synuclein aggregation and disrupt amyloid fibrils
Authors: Sunny Lisni P. , Srikanth Priya , Sunitha Anju Kunhiraman , Tembulkar Niyoti , Abraham Jancy Nixon 
Published: October 2021

Protein misfolding and aggregation play a vital role in several human diseases such as Parkinson's, Alzheimer's, and prion diseases. The development of nanoparticles that modulate aggregation could be potential drug candidates for these neurodegenerative disorders. Parkinson's disease pathogenesis is closely associated with the accumulation of α‐synuclein oligomers and fibrils in the substantia nigra of the brain. This report discusses the interactions of novel tryptophan‐cardanol nanoparticles with α‐synuclein protein monomers and fibrils. These nanoparticles could effectively disrupt α‐synuclein fibrils and inhibit fibril formation at low concentrations such as 5 μM. The tryptophan‐cardanol nanoparticles inhibit fibril formation from unstructured protein resulting in spherical nanostructures. These nanoparticles could also disassemble amyloid fibrils; the complete disappearance of fibrils was evident after 48 h of incubation with tryptophan‐cardanol. The transmission electron microscopy (TEM) micrographs after the incubation did not show any remnants of the peptide aggregates or oligomers. The thioflavin T fluorescence after the disassembly was diminished compared with that of fibrils also supports the inhibitory effect of the nanoparticles. Also, these nanoparticles did not reduce the viability of the SH‐SY5Y cells. These findings suggest that the tryptophan‐cardanol nanoparticles showed sufficiently high inhibitory activity and may have therapeutic potential for synucleinopathies.
Examining pathways linking rural labour outflows to the abandonment of arable land in China
Authors: Chen Lili , Meadows Michael E. , Liu Ye , Lin Yanliu 
Published: October 2021

AbstractAgainst the backdrop of increasing rural labour outflow in China, the marginalisation of agriculture and arable land abandonment has become prevalent. Previous studies have examined the linkages between rural labour outflow and arable land at the national scale but have largely ignored regional differences. Moreover, mechanisms linking rural labour outflow to abandonment have not been analysed systematically. This study uses 2016 China Labour‐force Dynamics Survey data (CLDS) and structural equation models (SEMs) to examine the means by which rural labour outflows affect arable land abandonment regionally. The analysis focuses on the mediating role and the moderating role of land tenure approval (LTA), nonagricultural income (NAI), agricultural mechanisation (AMC), and agricultural production efficiency (APE). There are three major findings. Firstly, in the main grain‐producing areas (MGPA), part‐time labour outflow alone is positively associated with arable land abandonment, while in the main grain‐consuming areas (MGCA), only off‐farm labour is directly related; there is no significant relationship between labour outflow and arable land abandonment in grain production and marketing balance areas (GPMBA). Secondly, part‐time labour does not necessarily lead to reduced levels of mechanisation, although lower APE emerges as an important factor in promoting arable land abandonment. Thirdly, the relationships between off‐farm labour/part‐time labour and arable land abandonment are moderated by LTA in both MGPA and GPMBA, while the moderation effect exists only in the case of part‐time labour in MGCA and GPMBA. We conclude that policies and measures in relation to agriculture and abandonment should be formulated differently for different regions.
How families affect aspirational migration amidst political insecurity: The case of Hong Kong
Authors: Lui Lake , Sun Ken Chih‐Yan , Hsiao Yuan 
Published: October 2021

AbstractThe migration literature has examined migrants' political motivations separately from their family's mobility strategies in the face of macro‐political uncertainties. Bridging the two bodies of literature, this study analyses how parental status moderates the relationship between individual political considerations and migration intentions in an increasingly tense political climate. Based on the quantitative data on political protests in Hong Kong, we find that migration intention increases both with mobilisation by protestors and repression by the government. While more active protestors are less likely to migrate, parents who have participated in the protests tend to have a stronger intention to migrate. Our qualitative data explain that despite parent protestors' commitment to the pro‐democratic protests, their encounters with law enforcement create a strong migration intention to ensure their children's political freedom and physical safety. While pro‐government citizens have less intention to migrate than pro‐democracy citizens, both are likely to migrate if they have children. Interviews show that pro‐government citizens' migration hopes for their children's future are de‐politicised. Finally, future‐oriented characteristics of migration motivates parents to prioritise their children's prospects over their obligations to their ageing parents. This study therefore contributes to the understanding of the relationship among migration, politics, and family life.
Sustainable development in nature‐based destinations. The social dilemma of an environmental policy
Authors: González‐Rodríguez M. Rosario , Tussyadiah Iis 
Published: October 2021

AbstractDrawing on value‐belief‐norm theory and the perspective‐taking approach, this paper aims to explain the attitude‐behaviour dilemma facing the implementation a pro‐environmental action in a nature‐based tourist destination. This research seeks to provide a better understanding of the patterns behind a behaviour intention, by focusing on value orientations and awareness of the adverse environmental consequences. Based on a specific pro‐environmental policy to foster tourism in the Gili Islands, Indonesia, participants were randomly exposed to three scenarios that might affect their behaviour intention with the destination. The findings revealed that differences can be found in their environmental concern and awareness of adverse environmental consequences as well as in their behaviour intentions subsequent to exposure to different scenarios. The study contributes to the extant literature on identifying cognitive and affective mechanisms that affect behaviour intentions and provides relevant insights for governments and Destination Marketing Organisations to promote a tourist destination implementing a pro‐environmental action for a sustainable tourism.
Investigating the effects of food production on sustainable development: The case of the upper middle‐income countries
Authors: Erdogan Seyfettin 
Published: October 2021

AbstractDeveloping effective policy measures for sustainable development is possible by determining the health and environmental impact of durable goods production as well as non‐durable goods production. The findings obtained from researching the effects of each sector where nondurable goods are produced on the environment and health can be evaluated in policy making processes. The food industry mainly produces non‐durable goods and it is constantly growing. It is almost impossible to reduce production in this sector below a certain threshold. Therefore, the environmental and health effects of the food industry should not be neglected. The aim of this study is to investigate the impact of food production on the sustainable development in 23 upper middle‐income countries (Argentina, Armenia, Azerbaijan, Belarus, Brazil, Bulgaria, China, Colombia, Costa Rica, Ecuador, Georgia, Guatemala, Indonesia, Iran, Jamaica, Kazakhstan, Malaysia, Mexico, Peru, Russia, South Africa, Thailand, and Turkey) for the period 1995–2018. CO2 emissions and life expectancy at birth have been selected as indicators of sustainable development. The preferred method is the Panel ARDL. The long‐run analysis results show that while food production increases carbon emissions, there is a positive and significant relationship between food production and life expectancy at birth and these findings are consistent with empirical findings in the literature. The statistically significant relationship between food production and carbon emissions, and life expectancy at birth indicates that food production is an important determinant of sustainable development.
Substitutionally Doped MoSe2 for High‐Performance Electronics and Optoelectronics
Authors: Zhong Fang , Ye Jiafu , He Ting , Zhang Lili , Wang Zhen , Li Qing , Han Bo , Wang Peng , Wu Peisong , Yu Yiye , Guo Jiaxiang , Zhang Zhenhan , Peng Meng , Xu Tengfei , Ge Xun , Wang Yang , Wang Hailu , Zubair Muhammad , Zhou Xiaohao , Gao Peng , Fan Zhiyong , Hu Weida 
Published: October 2021

Abstract2D materials, of which the carrier type and concentration are easily tuned, show tremendous superiority in electronic and optoelectronic applications. However, the achievements are still quite far away from practical applications. Much more effort should be made to further improve their performance. Here, p‐type MoSe2 is successfully achieved via substitutional doping of Ta atoms, which is confirmed experimentally and theoretically, and outstanding homojunction photodetectors and inverters are fabricated. MoSe2 p–n homojunction device with a low reverse current (300 pA) exhibits a high rectification ratio (104). The analysis of dark current reveals the domination of the Shockley–Read–Hall (SRH) and band‐to‐band tunneling (BTB) current. The homojunction photodetector exhibits a large open‐circuit voltage (0.68 V) and short‐circuit currents (1 µA), which is suitable for micro‐solar cells. Furthermore, it possesses outstanding responsivity (0.28 A W−1), large external quantum efficiency (42%), and a high signal‐to‐noise ratio (≈107). Benefiting from the continuous energy band of homojunction, the response speed reaches up to 20 µs. Besides, the Ta‐doped MoSe2 inverter exhibits a high voltage gain (34) and low power consumption (127 nW). This work lays a foundation for the practical application of 2D material devices.
Ultrasensitive Temperature Sensing Based on Ligand‐Free Alloyed CsPbClxBr3−x Perovskite Nanocrystals Confined in Hollow Mesoporous Silica with High Density of Halide Vacancies
Authors: Huang Yipeng , Lai Zhiwei , Jin Jingwen , Lin Fangyuan , Li Feiming , Lin Longhui , Tian Dongjie , Wang Yiru , Xie Rongjun , Chen Xi 
Published: October 2021

AbstractTemperature sensing based on fluorescent semiconductor nanocrystals has recently received immense attention. Enhancing the trap‐facilitated thermal quenching of the fluorescence should be an effective approach to achieve high sensitivity for temperature sensing. Compared with conventional semiconductor nanocrystals, the defect‐tolerant feature of lead halide perovskite nanocrystals (LHP NCs) endows them with high density of defects. Here, hollow mesoporous silica (h‐SiO2) template‐assisted ligand‐free synthesis and halogen manipulation (chloride‐importing) are proposed to fabricate highly defective yet fluorescent CsPbCl1.2Br1.8 NCs confined in h‐SiO2 (CsPbCl1.2Br1.8 NCs@h‐SiO2) for ultrasensitive temperature sensing. The trap barrier heights, exciton–phonon scattering, and trap state filling process in the CsPbCl1.2Br1.8 NCs@h‐SiO2 and CsPbBr3 NCs@h‐SiO2 are studied to illustrate the higher temperature sensitivity of CsPbCl1.2Br1.8 NCs@h‐SiO2 at physiological temperature range. By integrating the thermal‐sensitive CsPbCl1.2Br1.8 NCs@h‐SiO2 and thermal‐insensitive K2SiF6:Mn4+ phosphor into the flexible ethylene–vinyl acetate polymer matrix, ratiometric temperature sensing from 30.0 °C to 45.0 °C is demonstrated with a relative temperature sensitivity up to 13.44% °C−1 at 37.0 °C. The composite film shows high potential as a thermometer for monitoring the body temperature. This work demonstrates the unparalleled temperature sensing performance of LHP NCs and provides new inspiration on switching the defects into advantages in sensing applications.