bluuebunny/crossref_metadata_2025_split huggingface dataset:
Measuring student and educator digital competence beyond self-assessment: Developing and validating two rubric-based frameworks
Authors: González-Mujico Flor de Lis 
Published: December 2023

AbstractOver the past decade, self-assessment tools have garnered significant attention in the interest of measuring the skillset required by educators and students to function productively and ethically in digitally mediated environments, particularly in relation to education policy implementation. Since stated beliefs do not always align with actual practice, gaps have been shown to occur between self-reporting and performance in practice. Having an external assessor can counteract this imbalance; however, both perspectives should be taken into consideration as both are equally important. Against this background, this study develops and validates two rubric-based frameworks that supplement self perceived student and educator digital competence with classroom observation and task performance analysis. The DigComp and DigCompEdu self-assessment frameworks were used as a starting point to develop a student rubric and an educator rubric, respectively, underpinned by criteria validated in previous frameworks. The expert technique, which is the base for the Delphi Method, was used to validate each rubric, after which the rubrics were implemented at a Spanish university to test their reliability. The results indicated that the force of agreement across raters was consistent and both rubrics had a high degree of internal consistency, therefore both instruments are reliable.
Language usage analysis for EMF metamodels on GitHub
Authors: Babur Önder , Constantinou Eleni , Serebrenik Alexander 
Published: December 2023

AbstractContextEMF metamodels lie at the heart of model-based approaches for a variety of tasks, notably for defining the abstract syntax of modeling languages. The language design of EMF metamodels itself is part of a design process, where the needs of its specific range of users should be satisfied. Studying how people actually use the language in the wild would enable empirical feedback for improving the design of the EMF metamodeling language.ObjectiveOur goal is to study the language usage of EMF metamodels in public engineered projects on GitHub. We aim to reveal information about the usage of specific language constructs, whether they match the language design. Based on our findings, we plan to suggest improvements in the EMF metamodelling language.MethodWe adopt a sample study research strategy and collect data from the EMF metamodels on GitHub. After a series of preprocessing steps including filtering out non-engineered projects and deduplication, we employ an analytics workflow on top of a graph database to formulate generalizing statements about the artifacts under study. Based on the results, we also give actionable suggestions for the EMF metamodeling language design.ResultsWe have conducted various analyses on metaclass, attribute, feature/relationship usage as well as specific parts of the language: annotations and generics. Our findings reveal that the most used metaclasses are not the main building blocks of the language, but rather auxiliary ones. Some of the metaclasses, metaclass features and relations are almost never used. There are a few attributes which are almost exclusively used with a single value or illegal values. Some of the language features such as special forms of generics are very rarely used. Based on our findings, we provide suggestions to improve the EMF language, e.g. removing a language element, restricting its values or refining the metaclass hierarchy.ConclusionsIn this paper, we present an extensive empirical study into the language usage of EMF metamodels on GitHub. We believe this study fills a gap in the literature of model analytics and will hopefully help future improvement of the EMF metamodeling language.
Brief Report: The Rise of Online Betting in Ontario
Authors: Turner Nigel E. , Sinclair Lindsay , Matheson Flora I. 
Published: December 2023

AbstractIn this paper we examine the nature of calls for the Ontario Problem Gambling Helpline from June 2021 to Jan 2023 to determine if the increased marketing of online and sports gambling has changed the nature of calls to the helpline. An interrupted time series model comparing the monthly calls before and after the expansion of online gambling and advertising (April 2023), found a significant effect. Calls related to the other games examined did not have a significant interrupted time series effect of from the expansion and advertising of online gambling. The results of this analysis clearly indicate an association between the expansion of legalized gambling and gambling advertising with the number of people who call the helpline for problem related to online gambling.
New insights on diagnosis and treatment of AVP deficiency
Authors: Refardt Julie , Atila Cihan , Christ-Crain Mirjam 
Published: December 2023

AbstractArginine vasopressin deficiency (AVP-D) is one of the main entities of the polyuria-polydipsia syndrome. Its correct diagnosis and differentiation from the other two causes - AVP resistance and primary polydipsia – is crucial as this determines the further management of these patients.Over the last years, several new diagnostic tests using copeptin, the stable surrogate marker of AVP, have been introduced. Among them, hypertonic saline stimulated copeptin was confirmed to reliably and safely improve the diagnostic accuracy to diagnose AVP-D. Due to its simplicity, arginine stimulated copeptin was put forward as alternative test procedure. Glucagon-stimulated copeptin also showed promising results, while the oral growth hormone secretagogue Macimorelin failed to provide a sufficient stimulus. Interestingly, an approach using machine learning techniques also showed promising results concerning diagnostic accuracy.Once AVP-D is diagnosed, further workup is needed to evaluate its etiology. This will partly define the further treatment and management. In general, treatment of AVP-D focuses on desmopressin substitution, with oral formulations currently showing the best tolerance and safety profile. However, in addition to desmopressin substitution, recent data also showed that psychopathological factors play an important role in managing AVP-D patients.
A Deep Multi-Tasking Approach Leveraging on Cited-Citing Paper Relationship For Citation Intent Classification
Authors: Ghosal Tirthankar , Varanasi Kamal Kaushik , Kordoni Valia 
Published: December 2023

AbstractCitations are crucial artifacts to provide additional information to the reader to comprehend the research under concern. There are different roles that citations play in scientific discourse. Correctly identifying the intent of the citations finds applications ranging from predicting scholarly impact, finding idea propagation, to text summarization. With the rapid growth in scientific literature, the need for automated methods to classify citations is now growing intense. However, we can only fully understand the intent of a citation if we look at the citation context in the citing paper and also the primary purpose of the cited article. In this work, we propose a neural multi-task learning framework that harnesses the structural information of the research papers and the cited paper’s information for the effective classification of citation intents. We analyze the impact of three auxiliary tasks on the performance of our approach for citation classification. Our experiments on three benchmark citation classification datasets show that incorporating cited paper information (title) shows that our deep neural model achieves a new state-of-the-art on the ACL-ARC dataset with an absolute increase of 5.3% in the F1 score over the previous best model. We also achieve comparable performance with respect to the best-performing systems in the SDP 2021 3C Shared task on Citation Context Classification. We make our codes available at https://github.com/Tirthankar-Ghosal/citationclassification-SCIM
New Technologies in International Arbitration: A Game-Changer in Dispute Resolution?
Authors: Łągiewska Magdalena 
Published: December 2023

AbstractInternational dispute resolution in general and international arbitration, in particular, is highly affected by the emergence and fast development of innovation-driven technologies. On the one hand, such technologies are cost and time-effective. To name a few, they allow online filing of a case, collecting of e-evidence and remote hearings, among others. On the other hand, they also may lead to some challenges that need to be addressed. The primary concerns comprise e-arbitration agreements and e-awards, as well as cybersecurity and data protection. Therefore, this begs the question of whether such new technologies will significantly impact the dispute resolution landscape and thus become a game-changer therein. This analysis leads to the conclusion that the emergence of new technologies provides an opportunity to establish a long-lasting new standard for international arbitration.
Decoding Mixed Identities in Hong Kong: A Clustering Analysis of Multiple Identity Indicators
Authors: Yang Shen 
Published: December 2023

AbstractGiven the multiplicity and fluidity of identities, measuring mixed identities is challenging. As an epicenter of identity conflicts, Hong Kong is an ideal place to study mixed identities. However, the conventional unidimensional measurement in Hong Kong surveys and statistical correlation analysis may not accurately estimate the prevalence of different combinations of identities. Therefore, this study reassesses the patterns of identity combinations from 2016 to 2022 through K-means clustering of multiple identity indicators. The clustering analysis identifies three clusters, namely dual identity, moderate hybrid identity, and predominant Hong Kong identity. The analysis suggests that the conventional single-item indicator underestimates the proportion of mixed identities in the population. Furthermore, this study documents the rise of a predominant Hong Kong identity, particularly among young people. The regression analyses illustrate that citizens who are older, non-supporters of the pan-democratic camp, and not born in Hong Kong are more likely to have dual identity. This study contributes to the literature on measuring mixed identities by arguing that multidimensional measurement is preferable to unidimensional measurement when the main research objective is to examine the proportion of various combinations of identities.
Causal Analysis of Influence of the Solar Cycle and Latitudinal Solar-Wind Structure on Co-Rotation Forecasts
Authors: Chakraborty Nachiketa , Turner Harriet , Owens Mathew , Lang Matthew 
Published: December 2023

AbstractStudying solar-wind conditions is central to forecasting the impact of space weather on Earth. Under the assumption that the structure of this wind is constant in time and co-rotates with the Sun, solar-wind and thereby space-weather forecasts have been made quite effectively. Such co-rotation forecasts are well studied with decades of observations from STEREO and near-Earth spacecraft. Forecast accuracy is primarily determined by three factors: i) the longitudinal separation of spacecraft from Earth determines the corotation time (and hence forecast lead time) [$\delta$
δ
t] over which the solar wind must be assumed to be constant, ii) the latitudinal separation (or offset) between Earth and spacecraft [$\delta\theta$
δ
θ
]] determines the degree to which the same solar wind is being encountered at both locations, and iii) the solar cycle, via the sunspot number (SSN), acts as a proxy for both how fast the solar-wind structure is evolving and how much it varies in latitude. However, the precise dependencies factoring in uncertainties are a mixture of influences from each of these factors. Furthermore, for high-precision forecasts, it is important to understand what drives the forecast accuracy and its uncertainty. Here we present a causal inference approach based on information-theoretic measures to do this. Our framework can compute not only the direct (linear and nonlinear) dependencies of the forecast mean absolute error (MAE) on SSN, $\Delta \theta $
Δ
θ
, and $\Delta t$
Δ
t
, but also how these individual variables combine to enhance or diminish the MAE. We provide an initial assessment of this with the potential of aiding data assimilation in the future.
In vitro rooting of Quercus robur, activated charcoal vs. exogenous auxin: a morphophysiological approach
Authors: Martins João Paulo Rodrigues , Wawrzyniak Mikołaj Krzysztof , Kalemba Ewa Marzena , Ley-López Juan Manuel , Lira Jean Marcel Sousa , Chmielarz Paweł 
Published: December 2023

AbstractIn plant cultivation, morphophysiological status of the plantlets is crucial. We aimed to assess how activated charcoal (AC) and synthetic auxins, separately and in combination, affect the biochemistry, anatomy, and physiology of Quercus robur plantlets. Two concurrent experiments were conducted using indole-3-acetic acid (IAA) and indole-3-butyric acid (IBA) as exogenous auxins, with or without AC. Plantlets grown without exogenous auxins and AC displayed weak root development, reduced functionality, lower photosynthetic pigments, and elevated starch and free IAA content. Incorporating IAA or IBA into the medium triggered positive morphophysiological changes, such as aerenchyma formation, increased hydrogen peroxide, and reduced free IAA levels in the in vitro-produced clones. Plantlets cultured with 2 g L−1 AC exhibited higher biomass and more photosynthetic pigments. AC also enhanced the photosynthetic apparatus, as indicated by higher total performance index (PI(TOTAL)) values. Importantly, AC improved rooting success and overall morphophysiological condition, regardless of exogenous auxin presence. These findings provide novel insights into in vitro rooting modulation with AC and exogenous auxins, promising advancements in the growth and performance of Q. robur plantlets.
Punishment by Process: The Development of Anti-SLAPP legislation in the European Union
Authors: Farrington Francesca , Zabrocka Magdalena 
Published: December 2023

AbstractStrategic litigation against public participation (‘SLAPPs’) are abusive lawsuits that seek to suppress communications on matters of public interest. This article analyses the proposed Anti-SLAPP Directive which aims to protect human rights defenders and journalists throughout the European Union. The article analyses the diverging positions adopted by the Council and Parliament in June resp. July 2023, addressing concerns that the final Anti-SLAPP Directive’s scope will be limited to such an extent as to render it largely ineffective to protect civil society actors against abusive court proceedings.
Ensuring Ecosystem Service Provision of Urban Water Nature-Based Solutions in Infill Areas: Comparing Green Factor for Districts and SWMM Modeling in Scenario Assessment
Authors: Lähde Elisa , Dahlberg Niklas , Piirainen Paula , Rehunen Antti 
Published: December 2023

Abstract
This study aims to explore the measurement of potential synergies between water management objectives and other ecosystem services generated by Nature-Based Solutions (NBS) in the context of urban planning. The research also investigates the comparative benefits of two analytical methods, Storm Water Management Model (SWMM) and green area factor for districts (GAFD). The study employs Malmi district in Helsinki, Finland, as a case study, examining five distinct NBS scenarios with varying degrees of integration. The results affirm that NBS can indeed enhance ecosystem services provision and stormwater management. The comparative analysis of the two methods, reveals that scenarios with high green factors exhibit effective flood risk reduction, while those with low green factors struggle to manage water, emphasizing the importance of balancing green and built elements in urban planning for optimal flood risk reduction. Furthermore, the study underscores the advantages of the two methods: GAFD offers simplicity and lower expertise requirements, generating valuable insights into ecosystem services, while SWMM provides precise stormwater management data. The findings emphasize the significance of diverse NBS combinations that harness the multifunctional aspects of green infrastructure, highlighting the need for integrated urban planning. The utilization of GAFD analysis provides a comprehensive districtwide perspective in a flexible manner, thereby improving the comprehension of the interconnected nature of urban green spaces.

Highlights

Nature-based solutions (NBS) support urban stormwater management in infill areas.

Green Area Factor for Districts (GAFD) is a practical tool to compare NBS options.

GAFD and SWMM modeling results on stormwaters are comparable for common rain events.

NBS size, quality and diversity reduce peak flows and enhance ecosystem services.

Assessment of scenarios with the GAFD tool helps to identify multiple benefits of NBS.
Bonuses, options, and bank strategies
Authors: Razul Alberto , Gomes Orlando , Gulamhussen Mohamed Azzim 
Published: December 2023

AbstractThis study focuses on the management financial incentives that banking institutions adopt, with the purpose of best serving their corporate strategies. Specifically, a comparative study is carried out between medium- and long-term incentives, under the form of option-based pay, and short-term incentives, which take the form of bonus-based pay. Banking institutions should seek for the best balance between the two types of compensation, weighing their pros and cons under the specific market conditions they face. The paper advocates in favor of including the options modality in incentive packages, given that it stimulates the alignment of interests between owners and managers, allowing these last ones to act in an independent but responsible manner. Bonuses, in turn, require additional shareholders’ supervision, which might be advantageous when the need to reverse harmful effects of poor performance arises. The developed theoretical model is complemented with two numerical exercises (one with simulated data and the other with real data) that corroborate the model’s conjectures.
Social sustainability in seafood systems: a rapid review
Authors: Alexander Karen A. , Kelling Ingrid 
Published: December 2023

Abstract
Sustainability and sustainable development are the buzzwords of our era. Nowhere is this clearer than in primary production/extraction industries, such as aquaculture and fisheries. Yet in the seafood sector (as with many others), the term continues to be used most commonly in relation to the environmental dimension; much less is known about social and economic sustainability. In this review, we explore what is known about social sustainability in the seafood sector. We identify seven key thematic areas: livelihoods and human development; human rights; social, psychological, and cultural needs; equitable access to resource and benefit sharing; a voice in public issues; flow-on benefits for local and regional economies and improved infrastructure and access. We reveal that while there has been a clear focus on developing social sustainability indicators, this has largely missed more relational and subjective aspects of social sustainability. We also show that some thematic areas of social sustainability also remain underdeveloped. Overall, we argue that it is imperative that we address the knowledge gaps and incorporate what we already know about social sustainability into existing industry and governance processes. If we do not, not only risk not achieving the Sustainable Development Goals, but we also risk moving closer towards environmental and societal collapse.
Ethics and Medical Aid in Dying: Physicians’ Perspectives on Disclosure, Presence, and Eligibility
Authors: DeCamp Matthew , Ressalam Julie , Lum Hillary D. , Kessler Elizabeth R. , Bolcic-Jankovic Dragana , Kini Vinay , Campbell Eric G. 
Published: December 2023

AbstractMedical aid in dying (MAiD), despite being legal in many jurisdictions, remains controversial ethically. Existing surveys of physicians’ perceptions of MAiD tend to focus on the legal or moral permissibility of MAiD in general. Using a novel sampling strategy, we surveyed physicians likely to have engaged in MAiD-related activities in Colorado to assess their attitudes toward contemporary ethical issues in MAiD.
The Current State of U.S. Regulation of Electronic Monitoring to Combat Elder Abuse and Its Future
Authors: Hoffman Laura C. 
Published: December 2023

AbstractThe incidence of elder abuse has led to a growing trend of states taking various methods to regulate the use of electronic monitoring in institutional settings through programs, guidelines, regulations, and laws. This article attempts evaluate how the regulation of electronic monitoring has evolved and may be advanced in the future with the anticipated increase of elder abuse.
The Reproductive Injustices of Abortion Bans for Disability
Authors: Francis Leslie 
Published: December 2023

AbstractThis article argues that state laws banning abortions for disability violate reproductive justice for parents with disabilities. These bans deprive people with disabilities of choices that may be important to their possibilities of becoming parents, including possibilities for abortion of pregnancies that have become risky to continue. Far from protecting disability civil rights, these state law bans restrict the abilities of people with disabilities to choose to have children and to parent.
Beyond Roe: Implications for End-of-Life Decision-Making During Pregnancy
Authors: Krause Joan H. 
Published: December 2023

AbstractThe end of Roe v. Wade has significant implications for the autonomy of pregnant patients at the end of life. At least thirty states restrict the choice to withhold/withdraw life-sustaining treatments from pregnant patients without decisional capacity, invalidating prior advance directives and prohibiting others from choosing these options for the patient. Many restrictions are based on the Roe framework, applying after “viability” or similar considerations of fetal development or prospect for live birth. Scholars have also relied on the abortion framework, arguing that the restrictions impose an undue burden. The end of Roe will free states from having to craft limited restrictions designed to work around prior abortion jurisprudence. Similarly, advocates will no longer be able to draw support from the abortion framework, forcing them to rely instead on cases supporting rights to autonomy/bodily integrity in medical decision-making.