bluuebunny/crossref_metadata_2025_split huggingface dataset:
Children’s perspectives on self-regulated learning: A co-design study on children’s expectations towards educational technology
Authors: Amaefule Chimezie O. , Britzwein Jan , Yip Jason C. , Brod Garvin 
Published: September 2024

AbstractSelf-regulated learning (SRL) involves processes by which learners purposefully direct their cognitions, emotions, and behaviors towards the achievement of personal learning goals. Research has shown that young learners often struggle with SRL. Educational technology could be useful to support their SRL. However, it remains unclear how support mechanisms can be best adapted to the needs of children. Adopting a participatory design (PD) approach involving an intergenerational design team of six children (ages 10–12) and three adult facilitators, we explored children’s perspectives on factors that facilitate or hinder their SRL, and what kinds of support they desire. The study consisted of three in-person co-design sessions (one per week) lasting about 90 min each over three weeks. The sessions centered on brainstorming needs, evaluating existing technology, ideating and designing paper prototypes of study-planner apps. Our findings indicate that children primarily voice the need for support to better organize their study and to keep focused on the learning task at hand. They also make it clear that SRL support systems must be designed to be attractive and fun. Children’s subsequent evaluation of app features and the prototypes which they designed were consistent with these needs. Taken together, our study indicates that children can voice clear and consistent preferences for SRL support with educational technology. By including children in the design process, we can ensure that educational technologies effectively meet their needs, enhance their learning experiences, and promote self-regulation and academic success.
Moderating Factors in the Relationship Between Home Literacy Environment and Early Word Reading Skills: Results from Cantonese–English Bilinguals
Authors: Zhang Anna Jia-Jun , Wong Kelly Chik Wa , Lee Cherry Sze Wing , Inoue Tomohiro 
Published: September 2024

AbstractWe examined the associations between home literacy environment (HLE) and children’s word reading in L1 Cantonese and L2 English and whether the associations were moderated by other child- and family-related factors (children’s grade level, reading interest, and family socioeconomic status [SES]) in Hong Kong Chinese families. Participants were 190 children (Mage = 86.05 months; 54.7% female) in Grades 1 and 2, and they were tested on their word reading skills (accuracy and fluency) in L1 Cantonese and L2 English. One corresponding parent of each child responded to a questionnaire assessing two aspects of HLE (parent teaching and access to literacy resources), family SES, and their child’s reading interest. Results showed that access to literacy resources was associated with L2 English reading but not L1 Cantonese reading, regardless of grade level, parent-rated reading interest, or SES. In addition, whereas parent teaching was positively associated with L2 English reading in Grade 1, it was negatively associated with L2 English reading in Grade 2. These results suggest that whereas access to literacy resources may be positively associated with L2 English reading across different family contexts, the role of parent teaching in L2 English reading may change during this developmental period.
The endogeneity of optimum currency areas in light of pan-European intra-industry trade patterns and business cycle synchronicity
Authors: Steinert Frank Niklas , Althammer Wilhelm 
Published: September 2024

Abstract
The creation of a common European currency has been scrutinized in the context of optimum currency area theory since its origin in Mundell (1961). The debate gained particular prominence in light of the endogeneity hypothesis (Frankel and Rose 1998), which argues that once two countries establish a common currency, their economic structures and cycles increasingly align due to strengthening intra-industry trade. By contrast, the specialization hypothesis (Eichengreen 1992; Krugman and Venables 1996) argues that the creation of a currency union will predominantly increase inter-industry trade, ultimately lowering business cycle correlation. To test these views, we establish several indices of bilateral trade intensity across EU members using input–output data, measuring gross and so-called value-added trade, which also considers the contribution of intermediary goods in the production of final exports. The results of the fixed effect panel data framework indicate a strong and robust empirical relationship between growth correlations and intra-industry trade, much in line with both Mundell’s and Frankel and Rose’s theories. However, we cannot establish a similarly robust relationship between total trade intensity and growth correlations. We reconcile these results by identifying a statistically significant relationship between economic alignment and trade when only considering industrial production, highlighting the importance of pan-European industrial supply chains for European economic integration. Rerunning our regression framework on the subsample of the eurozone indicates that the common currency area displayed even stronger properties of an optimum currency area than the entire European Union.
A data-centric approach for ethical and trustworthy AI in journalism
Authors: Dierickx Laurence , Opdahl Andreas Lothe , Khan Sohail Ahmed , Lindén Carl-Gustav , Guerrero Rojas Diana Carolina 
Published: September 2024

AbstractAI-driven journalism refers to various methods and tools for gathering, verifying, producing, and distributing news information. Their potential is to extend human capabilities and create new forms of augmented journalism. Although scholars agreed on the necessity to embed journalistic values in these systems to make AI systems accountable, less attention was paid to data quality, while the results’ accuracy and efficiency depend on high-quality data in any machine learning task. Assessing data quality in the context of AI-driven journalism requires a broader and interdisciplinary approach, relying on the challenges of data quality in machine learning and the ethical challenges of using machine learning in journalism. To better identify these, we propose a data quality assessment framework to support the collection and pre-processing stages in machine learning. It relies on three of the core principles of ethical journalism—accuracy, fairness, and transparency—and participates in the shift from model-centric to data-centric AI, by focusing on data quality to reduce reliance on large datasets with errors, making data labelling consistent, and better integrating journalistic knowledge.
Crucible-less Processing of Ti with TiC Heterogeneous Nucleation Site Particles by Electrostatic Levitation
Authors: Watanabe Yoshimi , Takahashi Goro , Saguchi Ryosei , Sato Hisashi , Aoki Hirokazu , Suzuki Shinsuke , Nakano Shizuka , Watanabe Yuki , Koyama Chihiro , Oda Hirohisa , Ishikawa Takehiko 
Published: September 2024

AbstractIn this study, the microstructure, hardness, density, viscosity, and surface tension of molten pure Ti with TiC particles were studied via electrostatic levitation experiments, where the electrostatic levitation experiment involved container-less processing, which can suppress heterogeneous nucleation via crucibles. Microstructural observation revealed long needle-shaped α-grains across the whole area in the pure Ti sample. On the other hand, smaller needle-shaped α-grains were found in the samples with TiC particles. However, the detailed microstructural analysis of Ti + 0.7vo l%TiC sample revealed that the fine α-grains observed in the Ti + 0.7vo l%TiC are transformed from single grain of prior β phase. This is because the TiC particles dissolve into the molten Ti during the electrostatic levitation experiment. Instead, Ti–rich TiC precipitates formed by cooling can act as pinning sites rather than heterogeneous nucleation sites, which results in a finer microstructure for the samples with TiC particles during the electrostatic levitation experiment. The density of the samples is linearly related to the temperature, and it decreases with increasing temperature. In addition, a higher density is observed for the samples with TiC particles. Although linear relationships between the surface tension and temperature were found, the addition of TiC particles had no notable effect on the viscosity of the molten pure Ti.
Family Financial Socialisation and its Impact on Financial Confidence, Intentions, and Behaviours among New Zealand Adolescents
Authors: Agnew Steve , Sotardi Valerie A. 
Published: September 2024

AbstractThis study investigated the impact of family financial socialisation on the financial perceptions and behaviours of adolescents. Drawing from social learning theory, Gudmunson and Danes’ model of family financial socialisation, and the theory of planned behaviour, we examined the influence of family affluence and family financial openness on adolescents’ financial confidence, intentions, and behaviours. The research also explores gender differences and the distinct effects of family socialisation in banking and budgeting contexts. With a large sample of adolescents in New Zealand (n = 5,370), results using structural equation modelling reveal that family affluence corresponds with a higher perception of family financial openness, which influences their confidence in specific financial domains such as banking and budgeting. Our results also highlight a gap between confidence, intentions, and action in financial behaviours, with gender differences also impacting this dynamic. The findings offer insights for parents, policymakers, and financial institutions, emphasising the importance of family financial socialisation in fostering responsible financial practices among young people.
The Association of the Low-Income Housing Tax Credit Program and Intimate Partner Violence Related Emergency Department Visits
Authors: Shanahan Meghan E. , Austin Anna E. , Durrance Christine P. , Martin Sandra L. , Runyan Desmond K. , Runyan Carol W. 
Published: September 2024

Abstract
Purpose
To examine the association of increasing access to affordable housing through the Low-income Housing Tax Credit Program with non-fatal intimate partner violence (IPV) among women.

Methods
We used 2005–2014 data from the State Emergency Department Database (SEDD) and the low-income housing tax credit (LIHTC) program, a federal program providing tax incentives to support the construction of affordable housing units, to examine the association between the number of LIHTC units available and rates of IPV-related emergency department visits. We conducted generalized linear regression comparing state-years with above the median number of LIHTC units (> 28 units per 100,000 population) to those with below the median number of units (≤ 28 LIHTC units per 100,000 population). We adjusted the analyses for time-varying indicators of state median household income, percent population by race/ethnicity, percent population unemployed, violent crime rate, refundable Earned Income Tax Credits, maximum Temporary Assistance for Needy Families benefit for family of 3, and minimum wage.

Results
We found that greater availability of LIHTC units (> 28 vs. ≤ 28 LIHTC units per 100,000 population) was associated with decreased rates of IPV-related emergency department visits among women (RR 0.90; 95% CI 0.84, 0.97).

Conclusions
Increasing access to affordable housing, an important social determinant of health, through the LIHTC program may be an important component of strategies to prevent IPV severe enough to warrant an ED visit.
Integrating philosophy and psychology to enhance creativity and innovation in entrepreneurship: the W.O.M.B. model
Authors: de Almeida Leite Eduardo Manuel , Audretsch David , Leite Ana 
Published: September 2024

AbstractThis study explores the intersection between philosophy, psychology, and entrepreneurship to promote creativity and innovation through the W.O.M.B. model (Well-being, Open-mindedness, Mindfulness, and Brilliance). Utilizing insights from Plato, Spinoza, Schopenhauer, and Winnicott, the model integrates classical theories with contemporary practices. The methodology includes an extensive literature review and the practical application of the model in educational and organizational contexts. The results indicate that the W.O.M.B. model can enhance the generation of innovative ideas and employee satisfaction. Practical implications include creating work environments that foster creativity, implementing mindfulness practices, and providing continuous emotional support to employees.
Impact of rainfall on smoke dynamics in longitudinally ventilated tunnels: model-scale fire test study
Authors: Luan Dia , Bielawski Jakub , Fan Chuangang , Węgrzyńsk Wojciech , Huang Xinyan 
Published: September 2024

AbstractThis study investigates the impact of rainfall on smoke dynamics and critical velocity in longitudinally ventilated tunnels through model-scale fire tests. The results show that the maximum ceiling excess temperature decreases as ventilation velocity increases. When rainfall is present, the maximum ceiling excess temperature initially increases and then decreases with higher rainfall intensity. A prediction model has been developed to evaluate the impact of rainfall on the maximum ceiling temperature. The temperature distribution on the side where rainfall occurs is not affected by rainfall itself but is determined solely by ventilation velocity. Additionally, a model has been proposed to predict the decay of the ceiling temperature on the rainfall side. The decay of ceiling temperature on the ventilation side is not influenced by rainfall parameters or fire power when tunnel airflow is primarily driven by either rainfall-induced airflow or ventilation airflow. The presence of rainfall requires a higher critical velocity, and a model for predicting critical velocity has been proposed considering rainfall intensity. This study contributes to our understanding of smoke dynamics in tunnel fires under rainfall conditions and provides valuable insights into smoke control during adverse weather.
Therapeutic applications and challenges in myostatin inhibition for enhanced skeletal muscle mass and functions
Authors: Wetzlich Brock , Nyakundi Benard B. , Yang Jinzeng 
Published: September 2024

Abstract
Myostatin, a potent negative regulator of skeletal muscle mass, has garnered significant attention as a therapeutic target for muscle dystrophies. Despite extensive research and promising preclinical results, clinical trials targeting myostatin inhibition in muscle dystrophies have failed to yield substantial improvements in muscle function or fitness in patients. This review details the mechanisms behind myostatin’s function and the various inhibitors that have been tested preclinically and clinically. It also examines the challenges encountered in clinical translation, including issues with drug specificity, differences in serum myostatin concentrations between animal models and humans, and the necessity of neural input for functional improvements. Additionally, we explore promising avenues of research beyond muscle dystrophies, particularly in the treatment of metabolic syndromes and orthopedic disorders. Insights from these alternative applications suggest that myostatin inhibition may hold the potential for addressing a broader range of pathologies, providing new directions for therapeutic development.
Enhancing Spatial Analysis through Reference Multi-Criteria Methods: A Study Evaluating EU Countries in terms of Sustainable Cities and Communities
Authors: Górecka Dorota , Roszkowska Ewa 
Published: September 2024

AbstractMultidimensional regional socio-economic analyses should take into account the complexity and spatial diversity of the European Union (EU). Using reference multi-criteria methods, this paper proposes a comprehensive framework to facilitate spatial analyses. The methodology is based on two modified multi-criteria techniques, namely TOPSIS and BIPOLAR, which include reference points for evaluation and rank-ordering objects. In TOPSIS objects are ordered directly concerning distances from the ideal and the anti-ideal points, whereas in BIPOLAR they are compared indirectly utilising two sets of reference objects: desirable (“good”) and undesirable (“bad”). Furthermore, the distinction between internal and external reference points is examined. The motivation behind this study lies in monitoring progress towards achieving Sustainable Development Goals (SDGs) in different areas while considering objectives set out in the Agenda 2030—a complex plan of transformation for people, planet, peace, and prosperity adopted by United Nations Member States and focused on realizing 17 SDGs and 169 targets integrated into the economic, social, and environmental dimensions. To prove the usability of the proposed framework, we applied it to measure the spatial diversity of EU countries in terms of implementing SDG 11: Sustainable Cities and Communities. The analysis is conducted for the years 2015 and 2019 and is based on eight EU sustainable development indicators. The findings are showcased as rankings and depicted via maps for identifying analogous regions in the EU. The research indicates varying levels of achievement in meeting the SDG 11 objective among EU countries, with northern countries performing significantly better than southern ones.
Dynamics of rain-triggered lahars and destructive power inferred from seismo-acoustic arrays and time-lapse camera correlation at Volcán de Fuego, Guatemala
Authors: Bosa Ashley R. , Bejar Gustavo , Waite Gregory P. , Mock Jerry C. , Pineda Armando , Anderson Jacob F. 
Published: September 2024

Abstract
Lahars, or volcanic mudflows, are one of the most devastating natural, volcanic hazards. Deadly lahars, such as the one that occurred after the Nevado del Ruiz, Columbia eruption in 1985, in which at least 23,000 people tragically lost their lives, threaten the safety and well-being of humans, the economy, and the infrastructure of many of the communities living in the vicinity of volcanoes. Due to their complex flow behaviors, lahars remain a major challenge to those studying them. We present an analysis of several rain-triggered lahar events at Volcán Fuego in Guatemala using both seismic and infrasound monitoring to quantify both ground vibrations and low-frequency atmospheric sound waves associated with these mudflows. Geophysical data collected over this field campaign quantifies flow parameters such as velocities, stage and the frequency of these rain-triggered lahars. Time-lapse imagery of lahar flows is compared with filtered seismo-acoustic signal characteristics to ascertain stage predictions and relationship to stage fluxes. Using random forest regression models, we establish moderate correlations (correlation coefficient modes 0.48–0.53) with statistical significance (p value = 0.01–0.02) between signal energetics and respective stage. Compiling a catalog of rain-triggered lahar events in Volcán de Fuego’s drainages over a season permits a dataset amenable to statistical analysis. Our goal is the development of new-generation geophysical monitoring tools that will be capable of remote and real-time estimation of flow parameters.
Significant individual change should be used as a lower bound for anchor based estimates of meaningful change on patient-reported outcome scores
Authors: Peipert John Devin , Cella David , Hays Ron D. 
Published: September 2024

AbstractInterpretation of patient-reported outcome (PRO) scores has been supported by identifying score thresholds or ranges that indicate clinical importance. There has been a recent focus on the estimation of meaningful within patient change (MWPC). While much attention has been focused on anchor-based methods, some researchers prefer that a lower bound to these estimates should exceed a change score that could be observed due to measurement error alone as a safeguard against misclassifying individual patients as changed when they have not. The standard error of measurement (SEM) is often used as the lower bound of anchor estimates. Here, we argue that the SEM is not an the best lower bound for MWPCs. Instead, statistically significant individual change as calculated by the reliable change index (RCI) should be used as the lower bound. Our argument is based on two points. First, conceptually, the SEM does not provide specific enough information to serve as a lower bound for MWPCs, which should be based on the level of observed score change that is unlikely to be due to chance alone. Second, the SEM is not appropriate for direct application to observed scores, and requires a multiplier when examining observed change instead of true change. We conclude with recommendations for using the RCI with a thoughtful range of p-values in combination with anchor estimates.
The OpenCitations Index: description of a database providing open citation data
Authors: Heibi Ivan , Moretti Arianna , Peroni Silvio , Soricetti Marta 
Published: September 2024

AbstractThis article presents the OpenCitations Index, a collection of open citation data maintained by OpenCitations, an independent, not-for-profit infrastructure organisation for open scholarship dedicated to publishing open bibliographic and citation data using Semantic Web and Linked Open Data technologies. The collection involves citation data harvested from multiple sources. To address the possibility of different sources providing citation data for bibliographic entities represented with different identifiers, therefore potentially representing same citation, a deduplication mechanism has been implemented. This ensures that citations integrated into OpenCitations Index are accurately identified uniquely, even when different identifiers are used. This mechanism follows a specific workflow, which encompasses a preprocessing of the original source data, a management of the provided bibliographic metadata, and the generation of new citation data to be integrated into the OpenCitations Index. The process relies on another data collection—OpenCitations Meta, and on the use of a new globally persistent identifier, namely OMID (OpenCitations Meta Identifier). As of July 2024, OpenCitations Index stores over 2 billion unique citation links, harvest from Crossref, the National Institute of Heath Open Citation Collection (NIH-OCC), DataCite, OpenAIRE, and the Japan Link Center (JaLC). OpenCitations Index can be systematically accessed and queried through several services, including SPARQL endpoint, REST APIs, and web interfaces. Additionally, dataset dumps are available for free download and reuse (under CC0 waiver) in various formats (CSV, N-Triples, and Scholix), including provenance and change tracking information.