bluuebunny/crossref_metadata_2025_split huggingface dataset:
Online health information on sinonasal inverted papillomas: An assessment on readability and quality
Authors: Nicholls Benjamin , Acharya Vikas , Slim Mohd Afiq Mohd , Haywood Matthew , Sharma Rishi 
Published: October 2023

AbstractBackground/ObjectivesSinonasal inverted papilloma (IP) is a rare but serious diagnosis, with a paucity of patient‐centred information regarding this condition. As more patients are seeking healthcare information online, the quality and comprehensibility of this information becomes ever more important. The aim of the study was to investigate the readability and quality of websites on inverted papilloma.MethodsThe term IP and seven of its synonyms were inputted into the three of the most commonly used search engines in the English‐speaking world (Google, Yahoo and Bing). The first 20 results returned for each search term were then screened with our exclusion criteria. The remaining websites were assessed for their readability using the using the Flesch Reading Ease Score (FRES) and average grade level (AGL). Quality was assessed using the DISCERN questionnaire.ResultsOf the 480 websites returned using our search strategy, 410 were excluded using our screening criteria. Removal of duplicates from the remaining 70 websites left 14 for inclusion in the final analysis. The mean FRES score of the remaining websites was 30.5 ± 10 and the mean AGL was 15.2 ± 1.1, corresponding to a reading age of a 21‐year‐old. The median DISCERN score was 33.5 (30.5–36.5), a score which falls within the ‘poor quality’ range.ConclusionThe readability and quality of online patient information on IP is far below the expected standard. Healthcare providers have a responsibility to direct patients to appropriate sources of information or consider producing new material should a lack of appropriate sources exist.
Bayesian Surprise Predicts Human Event Segmentation in Story Listening
Authors: Kumar Manoj , Goldstein Ariel , Michelmann Sebastian , Zacks Jeffrey M. , Hasson Uri , Norman Kenneth A. 
Published: October 2023

AbstractEvent segmentation theory posits that people segment continuous experience into discrete events and that event boundaries occur when there are large transient increases in prediction error. Here, we set out to test this theory in the context of story listening, by using a deep learning language model (GPT‐2) to compute the predicted probability distribution of the next word, at each point in the story. For three stories, we used the probability distributions generated by GPT‐2 to compute the time series of prediction error. We also asked participants to listen to these stories while marking event boundaries. We used regression models to relate the GPT‐2 measures to the human segmentation data. We found that event boundaries are associated with transient increases in Bayesian surprise but not with a simpler measure of prediction error (surprisal) that tracks, for each word in the story, how strongly that word was predicted at the previous time point. These results support the hypothesis that prediction error serves as a control mechanism governing event segmentation and point to important differences between operational definitions of prediction error.
Questions About Quantifiers: Symbolic and Nonsymbolic Quantity Processing by the Brain
Authors: Szymanik Jakub , Kochari Arnold , Bremnes Heming Strømholt 
Published: October 2023

AbstractOne approach to understanding how the human cognitive system stores and operates with quantifiers such as “some,” “many,” and “all” is to investigate their interaction with the cognitive mechanisms for estimating and comparing quantities from perceptual input (i.e., nonsymbolic quantities). While a potential link between quantifier processing and nonsymbolic quantity processing has been considered in the past, it has never been discussed extensively. Simultaneously, there is a long line of research within the field of numerical cognition on the relationship between processing exact number symbols (such as “3” or “three”) and nonsymbolic quantity. This accumulated knowledge can potentially be harvested for research on quantifiers since quantifiers and number symbols are two different ways of referring to quantity information symbolically. The goal of the present review is to survey the research on the relationship between quantifiers and nonsymbolic quantity processing mechanisms and provide a set of research directions and specific questions for the investigation of quantifier processing.
When Native Speakers Are Not “Native‐Like:” Chunking Ability Predicts (Lack of) Sensitivity to Gender Agreement During Online Processing
Authors: Pulido Manuel F. , López‐Beltrán Priscila 
Published: October 2023

AbstractPrevious work on individual differences has revealed limitations in the ability of existing measures (e.g., working memory) to predict language processing. Recent evidence suggests that an individual's sensitivity to detect the statistical regularities present in language (i.e., “chunk sensitivity”) may significantly modulate online sentence processing. We investigated whether individual chunk sensitivity predicted the online processing of gender cues, a core linguistic feature of Spanish. In a self‐paced reading task, we examined native speakers’ processing of relative clauses in which gender cues were variably exploited to induce processing costs. Even after considering the effect of working memory and cognitive control, the results revealed a significant effect of chunking ability in modulating online sentence processing. Critically, higher‐chunking ability speakers’ reading times showed online sensitivity to core linguistic cues online; while low‐chunking ability readers showed no sensitivity to manipulations, indicating shallow real‐time processing of their native language.
Surface and Contextual Linguistic Cues in Dialog Act Classification: A Cognitive Science View
Authors: Linders Guido M. , Louwerse Max M. 
Published: October 2023

AbstractWhat role do linguistic cues on a surface and contextual level have in identifying the intention behind an utterance? Drawing on the wealth of studies and corpora from the computational task of dialog act classification, we studied this question from a cognitive science perspective. We first reviewed the role of linguistic cues in dialog act classification studies that evaluated model performance on three of the most commonly used English dialog act corpora. Findings show that frequency‐based, machine learning, and deep learning methods all yield similar performance. Classification accuracies, moreover, generally do not explain which specific cues yield high performance. Using a cognitive science approach, in two analyses, we systematically investigated the role of cues in the surface structure of the utterance and cues of the surrounding context individually and combined. By comparing the explained variance, rather than the prediction accuracy of these cues in a logistic regression model, we found that (1) while surface and contextual linguistic cues can complement each other, surface linguistic cues form the backbone in human dialog act identification, (2) with word frequency statistics being particularly important for the dialog act, and (3) the similar trends across corpora, despite differences in the type of dialog, corpus setup, and dialog act tagset. The importance of surface linguistic cues in dialog act classification sheds light on how both computers and humans take advantage of these cues in speech act recognition.
5‐Year simulation of diabetes‐related complications in people treated with tirzepatide or semaglutide versus insulin glargine
Authors: Niu Shu , Alkhuzam Khalid A. , Guan Dawei , Jiao Tianze , Shi Lizheng , Fonseca Vivian , Laiteerapong Neda , Ali Mohammed K. , Schatz Desmond A. , Guo Jingchuan , Shao Hui 
Published: October 2023

AbstractAimThis study compared the 5‐year incidence rate of macrovascular and microvascular complications for tirzepatide, semaglutide and insulin glargine in individuals with type 2 diabetes, using the Building, Relating, Assessing, and Validating Outcomes (BRAVO) diabetes simulation model.Research Design and MethodsThis study was a 5‐year SURPASS‐2 trial extrapolation, with an insulin glargine arm added as an additional comparator. The 1‐year treatment effects of tirzepatide (5, 10 or 15 mg), semaglutide (1 mg) and insulin glargine on glycated haemoglobin, systolic blood pressure, low‐density lipoprotein and body weights were obtained from the SUSTAIN‐4 and SURPASS‐2 trials. We used the BRAVO model to predict 5‐year complications for each study arm under two scenarios: the 1‐year treatment effects persisted (optimistic) or diminished to none in 5 years (conservative).ResultsWhen compared with insulin glargine, we projected a 5‐year risk reduction in cardiovascular adverse events [rate ratio (RR) 0.64, 95% confidence interval (CI) 0.61‐0.67] and microvascular composite (RR 0.67, 95% CI 0.64‐0.70) with 15 mg tirzepatide, and 5‐year risk reduction in cardiovascular adverse events (RR 0.75, 95% CI 0.72‐0.79) and microvascular composite (RR 0.79, 95% CI 0.76‐0.82) with semaglutide (1 mg) under an optimistic scenario. Lower doses of tirzepatide also had similar, albeit smaller benefits. Treatment effects for tirzepatide and semaglutide were smaller but still significantly higher than insulin glargine under a conservative scenario. The 5‐year risk reduction in diabetes‐related complication events and mortality for the 15 mg tirzepatide compared with insulin glargine ranged from 49% to 10% under an optimistic scenario, which was reduced by 17%‐33% when a conservative scenario was assumed.ConclusionWith the use of the BRAVO diabetes model, tirzepatide and semaglutide exhibited potential to reduce the risk of macrovascular and microvascular complications among individuals with type 2 diabetes, compared with insulin glargine in a 5‐year window. Based on the current modelling assumptions, tirzepatide (15 mg) may potentially outperform semaglutide (1 mg). While the BRAVO model offered insights, the long‐term cardiovascular benefit of tirzepatide should be further validated in a prospective clinical trial.
“Want to help someone? Shut up and listen”: Foreign aid, maladaptation, and community development practices in the Pacific
Authors: Vunibola Suliasi 
Published: October 2023

AbstractMotivationThrough a Fiji case analysis, this article elaborates on how well‐intentioned foreign aid initiatives can result in maladaptation for local communities. When most well‐intentioned foreign aid institutions become aware of development problems in the Pacific Island Countries, they start planning development interventions. However, maladaptation can occur where there is insufficient community input, creating conditions that worsen situations and make communities more vulnerable.PurposeThe study highlights a way to improve the sustainability and effectiveness of development projects with local communities by analysing two case studies. One is a community project driven by a civil society organization (CSO) and the other is community‐driven development (CDD) project in Fiji.Approach and methodsThe researcher engaged in community field studies while working as a civil servant in Fiji for 12 years and has continued these studies as a researcher for five years. The data used in this article are both experiential and research‐based. Action research took place when the author supported CDD programmes based on traditional farming. This study provides a longitudinal view that includes critical auto‐ethnography and talanoa.FindingsThis study finds that the CSO did not appreciate community aspirations and local knowledge, leading to community maladaptation in response to their programme intervention. By contrast, CDD in the same locale saw community members take control of strategizing, carrying out development activities, and monitoring. This directly contributed to community resilience and collective well‐being, in addition to making the CDD activities more sustainable than those dependent on donor funding.Policy implicationsThis article showcases the value of CDD for Pacific communities and the importance of accounting for local aspirations and worldviews. Thus, policies in Pacific Island Countries should ensure that any community development programmes respect people's culture and understand their notions of well‐being and resilience, and so contribute to more self‐determined development.
Ceremonial expenditures, informal networks and economic consequences: Evidence from Kyrgyzstan
Authors: Aldashev Alisher 
Published: October 2023

AbstractWe estimate the effect of spending on festivities on various economic outcomes in an IV framework. The estimates show that ceremonial spending causes reduction in food expenditure. Households with higher spending on festivities are more likely to borrow money. Moreover, children are more likely to miss school in such households. One possible explanation for ceremonial expenditure despite its high economic cost is reliance on informal networks. Using the control function approach, we show that ceremonial spending is the means to maintain these networks. Moreover, ceremonial spending reduces the household's income variation. This suggests that these networks may serve the role of informal insurance. We also distinguish between events that are intertemporarily flexible (such as weddings) and intertemporarily inflexible (such as funerals). Intertemporarily inflexible ceremonial spending is less income elastic and thus may present the biggest financial stress to households.
Mathematical analysis and dynamical transmission of monkeypox virus model with fractional operator
Authors: Farman Muhammad , Akgül Ali , Garg Harish , Baleanu Dumitru , Hincal Evren , Shahzeen Sundas 
Published: October 2023

AbstractMonkeypox virus is one of the major causes of both smallpox and cowpox infection in our society. It is typically located next to tropical rain forests in remote villages in Central and West Africa. The disease is brought on by the monkeypox virus, a member of the Orthopoxvirus genus and the Poxviridae family. For analysis and the dynamical behaviour of the monkeypox virus infection, we developed a fractional order model with the Mittag‐Leffler kernel. The uniqueness, positivity, and boundedness of the model are treated with fixed point theory results. A Lyapunov function is used to construct both local and global asymptotic stability of the system for both endemic and disease‐free equilibrium points. Finally, numerical simulations are carried out using the effective numerical scheme with an extended Mittag‐Leffler function to demonstrate the accuracy of the suggested approaches.
Divide and conquer: Coparenting and parent involvement in families with young children
Authors: DeMartini Sarah E. , Hazen Nancy L. 
Published: October 2023

AbstractBackgroundDespite average‐sized U.S. families having more than one child, coparenting in families with two children is understudied.ObjectiveThe main aim of this exploratory study was to provide the first steps toward investigating the construct of divide‐and‐conquer coparenting, a coparenting strategy that emerges in families consisting of two parents and two children in which each parent focuses their attention on one child at a time. Specifically, the aim of the study was to provide preliminary evidence for the validity of a new observational rating scale to assess divide‐and‐conquer coparenting and to examine its relation to coparenting quality.MethodObservations of whole‐family interactions (N = 52 families) were coded for overall use of divide‐and‐conquer coparenting, each parents' involvement with each child, and quality of coparenting (i.e., cooperative and competitive). Parents were also asked to write responses to an open‐ended question concerning how their coparenting had changed since having a second child.ResultsDivide‐and‐conquer coparenting was positively associated with parent involvement patterns in which each parent mainly focuses on one child at a time, with parents' endorsement of use of divide‐and‐conquer coparenting in the open‐ended question, and with cooperative coparenting. It was negatively associated with competitive coparenting.ConclusionsResults provide support for the existence of a divide‐and‐conquer coparenting strategy in families with two young children and preliminary validation of our divide‐and‐conquer coparenting rating scale, as well as suggesting that this strategy is related to high‐quality coparenting.ImplicationsImplications for family intervention and future empirical work in this area are discussed.
Returns to scale in cost, revenue, and profit for European banks: New results from nonparametric local linear methods
Authors: Wu Ji , Zhao Shirong 
Published: October 2023

AbstractThe continuously increasing bank sizes have received much attention from both policymakers and researchers. We present new estimates of returns to scale in cost, revenue, and profit for European banks over 2000–2020 based on nonparametric, local‐linear methods. We find that most banks faced increasing returns to scale in cost and decreasing returns to scale in revenue and profit across years, across European countries, and across bank size quartiles. Our results suggest that restricting the size of banks may not bring too much loss of revenue and profit, but could prevent European banks from exploiting increasing returns to scale in cost.
Career trajectory and cross‐system mobility: Career planning of doctoral students in Macao
Authors: Ge Yun 
Published: October 2023

AbstractThis study investigates career trajectory and work locations of doctoral students trained in Macao and analyses how their career paths are shaped by perceived macro‐level factors. Respondents from four applied disciplinary areas were selected for semi‐structured in‐depth interviews. Research results show that doctoral students who graduated from Macao higher education institutions enjoy good career prospects in Mainland China. Their competitiveness in the research‐related job market benefits from having a multi‐level support system and a training mode that promotes government–university–industry collaboration. Policies and demand from industrial sectors are involved in students' learning experience through channels such as financial support, project collaboration and networks. Doctoral students in Macao are strategic planners and actors in leveraging their human capital. As Macao becomes an emerging destination for cultivating high‐level research labour, findings from this study capture a model of human capital formation in China's cross‐system context.
Criminal disenfranchisement: Developments in, and lessons from, Scotland
Authors: Hunter Cara L. C. , McNeill Fergus , Tripkovic Milena 
Published: October 2023

AbstractThis article explores both the reasons for, and the potential impact of, the current level of disenfranchisement in Scotland. First, we scrutinise Scottish legal provisions for their compatibility with the European Court of Human Rights (ECtHR)’s jurisprudence, which require disenfranchisement's aims to be clarified and delimited. Second, we examine where disenfranchisement sits within the wider context of Scottish penal values, and what principles underlie its imposition. Finally, we turn to a discussion of whether and how dis/enfranchisement aligns with the Scottish Government's commitments to the rehabilitation and reintegration of people who have been in prison, and to related empirical evidence about desistance from crime. The limited enfranchisement of prisoners established by the Scottish Government in 2020 avoided these core questions and this article aims to help address this neglect and to open up dialogue on these issues.
The efficacy of written corrective feedback: Searching for the best predictors
Authors: Wang Weiqing 
Published: October 2023

AbstractThe efficacy of written corrective feedback (WCF) is affected by a variety of variables. To maximize the effect of WCF, it is necessary to find out what variables are more predictive of learning. The present study explored the best predictors of learning among six facets of WCF: explicitness, intensiveness, error type, complexity, languaging, and mode of languaging. Seventy‐five first‐year university students wrote an essay and received WCF on their errors. Then the essays with WCF were returned to learners, who were assigned to five conditions: languaging about WCF in written form prompted, languaging about WCF in written form unprompted, languaging in oral form prompted, languaging in oral form unprompted, and no languaging. The languaging groups languaged about the WCF they received and the non‐languaging group only looked through the corrections on their essays. One day after the languaging activity, all groups took an immediate test, and 4 weeks later, a delayed test. It was found that learning in the immediate test was best predicted by error type, complexity, and languaging, and learning in the delayed test was best predicted by error type and mode of languaging. Based on these findings, the pedagogical implications of the study are discussed.
Tournament schedules and incentives in a double round‐robin tournament with four teams
Authors: Csató László , Molontay Roland , Pintér József 
Published: October 2023

AbstractIn a round‐robin tournament, a team may lack the incentive to win if its final rank does not depend on the outcome of the matches still to be played. This paper introduces a classification scheme to determine these weakly (where one team is indifferent) or strongly (where both teams are indifferent) stakeless matches in a double round‐robin contest with four teams. The probability that such matches arise can serve as a novel fairness criterion to compare and evaluate match schedules. Our approach is illustrated by the UEFA Champions League group stage. A simulation model is built to compare the 12 valid schedules for the group matches. Some schedules are shown to be dominated by other schedules. It is found that the strongest team should play at home in the last round against one of the middle teams, depending on the preferences of the tournament organiser. Choosing an optimal sequence of matches with respect to the proposed metric can help to avoid uninteresting matches.
Learning analytics driven improvements in learning design in higher education: A systematic literature review
Authors: Drugova Elena , Zhuravleva Irina , Zakharova Ulyana , Latipov Adel 
Published: October 2023

AbstractBackgroundDriven by the ongoing need to provide high‐quality learning and teaching, universities recently have shown an increased interest in using learning analytics (LA) for improving learning design (LD). However, the evidence of such improvements is scarce, and the maturity of such research is unclear.ObjectivesThis study is aimed to evaluate the maturity of research discussing LA‐driven LD improvements in higher education.MethodsThe systematic review analyses 49 empirical papers, assesses their quality and suggests further research directions. The review elaborates on methodological (research questions, strategy and methods, LA‐LD integration theoretical backgrounds) and substantial (LA‐driven LD improvements, types of data used, LA software development) features of the papers.Results and ConclusionsThe findings demonstrated the lack of theoretical alignment between LA and LD, with research tending towards user experience studies. The most frequently used research strategy was a case study; experiments were very rare. Researchers predominantly used parsing for collecting data and AI methods for analysing it; mostly used data types related to registering learners' engagement with learning activities as well as resources and tools provided in digital learning environments.TakeawaysThe research area discussing LA‐driven LD improvements still has a way to go before attaining the level of full maturity. Only a third of the papers reported actual LA‐driven LD improvements; moreover, only three papers measured their effectiveness. The presented LA software was mostly at the beta or implementation stages and did not assess the impact of using this software.