bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancing Personalized Learning Through Process Mining
Authors: Wambsganss Thiemo , Schmitt Anuschka 
Published: October 2024

AbstractTechnology-mediated learning offers new possibilities for individualizing learning processes in order to discover, monitor, and enhance students’ learning activities. However, leveraging such possibilities automatically and at scale with novel technologies raises questions about the design and the analysis of digital learning processes. Process mining hereby becomes a relevant tool to leverage these theorized opportunities. The paper classifies recent literature on individualizing technology-mediated learning and educational process mining into four major concepts (purpose, user, data, and analysis). By clustering and empirically evaluating the use of learner data in expert interviews, the study presents three design patterns for discovering, monitoring, and enhancing students’ learning activities by means of process mining. The paper explains the characteristics of these patterns, analyzes opportunities for digital learning processes, and illustrates the potential value the patterns can create for relevant educational stakeholders. Information systems researchers can use the taxonomy to develop theoretical models to study the effectiveness of process mining and thus enhance the individualization of learning processes. The patterns, in combination with the taxonomy for designing and analyzing digital learning processes, serve as a personal guide to studying, designing, and evaluating the individualization of digital learning at scale.
Bacterial cellulose production through the valorization of waste apple pulp and stale bread
Authors: Esmail Asiyah , Morais Maria , Yilmazer Ugur D. , Neves Luísa A. , Freitas Filomena 
Published: October 2024

AbstractIn this work, stale bread and waste apple pulp were used as feedstocks for the production of bacterial cellulose (BC). A glucose-rich solution was prepared from stale bread by dilute acid hydrolysis, while an extract comprising fructose and glucose was obtained from the waste apple pulp, which was used for cultivating Komagataeibacter xylinus DSM 2004, either as sole feedstocks or supplemented with Hestrin-Schramm medium. Supplementation significantly improved BC production: 3.38 ± 0.09 g/L for waste apple pulp extract and 2.07 ± 0.22 g/L for stale bread hydrolysate. There was no significant impact on BC chemical structure or fiber diameter, but the biopolymer produced from waste apple pulp extract had slightly higher crystallinity (CI = 59–69%) and lower thermal degradation temperature (Tdeg = 341–350 ℃) than that of the stale bread hydrolysate (CI = 55%; Tdeg = 316–320 ℃). Moreover, supplementation of the waste apple pulp extract led to the preparation of thicker membranes, with higher Young’s modulus, tension, and deformation at break but lower water uptake capacity and lower permeability to O2 and CO2. These results show that waste apple pulp and stale bread are suitable feedstocks for BC production and the cultivation conditions can be adjusted for tailoring the biopolymer’s mechanical and barrier properties to suit different applications.
An infinite family of chiral, non-slice, non-alternating hyperbolic knots with vanishing Upsilon invariants
Authors: Teragaito Masakazu 
Published: October 2024

AbstractFor a knot in the 3-sphere, its Upsilon invariant is a continuous, piecewise linear function defined on the interval [0,2]. It is a concordance invariant, so vanishes for slice knots. Since it only changes the sign for the mirror image with reversed orientation, it also vanishes for amphicheiral knots. For alternating knots, more generally, quasi-alternating knots, the Upsilon invariant is determined only by the signature. In particular, it vanishes if such a knot has zero signature. On the other hand, it is known that the Upsilon invariant is a non-zero convex function for L-space knots. In this paper, we construct an infinite family of hyperbolic knots, each of which has zero Upsilon invariant, but is chiral, non-slice, non-alternating. To confirm that the Upsilon invariant vanishes, we calculate the full knot Floer complex.
Reshaping Educational Leadership Learning: Adding Politics to Practice
Authors: Morrison Michele 
Published: October 2024

AbstractDuring a distinguished academic career, Professor Martin Thrupp alerted diverse audiences to the politics shaping educational practice in Aotearoa New Zealand and beyond. The focus of this commemorative article is on Martin’s teaching legacy, in particular, the re-design and enduring impact of a compulsory postgraduate leadership paper at Te Kura Toi Tangata, University of Waikato. Key themes include the three neoliberal policy technologies of markets, managerialism and performativity, and the contested notion of context. Qualitative data from this year’s online student cohort illustrate in representative ways the profound influence that adding politics to practice has had on their educational leadership thinking and practice. This attests to the ongoing importance of sociopolitical insight in informed, responsive and successful leadership praxis.
A Strategy for Predicting the Performance of Supervised and Unsupervised Tabular Data Classifiers
Authors: Zoppi Tommaso , Ceccarelli Andrea , Bondavalli Andrea 
Published: October 2024

AbstractMachine Learning algorithms that perform classification are increasingly been adopted in Information and Communication Technology (ICT) systems and infrastructures due to their capability to profile their expected behavior and detect anomalies due to ongoing errors or intrusions. Deploying a classifier for a given system requires conducting comparison and sensitivity analyses that are time-consuming, require domain expertise, and may even not achieve satisfactory classification performance, resulting in a waste of money and time for practitioners and stakeholders. This paper predicts the expected performance of classifiers without needing to select, craft, exercise, or compare them, requiring minimal expertise and machinery. Should classification performance be predicted worse than expectations, the users could focus on improving data quality and monitoring systems instead of wasting time in exercising classifiers, saving key time and money. The prediction strategy uses scores of feature rankers, which are processed by regressors to predict metrics such as Matthews Correlation Coefficient (MCC) and Area Under ROC-Curve (AUC) for quantifying classification performance. We validate our prediction strategy through a massive experimental analysis using up to 12 feature rankers that process features from 23 public datasets, creating additional variants in the process and exercising supervised and unsupervised classifiers. Our findings show that it is possible to predict the value of performance metrics for supervised or unsupervised classifiers with a mean average error (MAE) of residuals lower than 0.1 for many classification tasks. The predictors are publicly available in a Python library whose usage is straightforward and does not require domain-specific skill or expertise.
Unmasking teachers’ proficiency in harnessing Artificial Intelligence (AI) for transformative education
Authors: Bohara Dipak Kumar , Rana Karna 
Published: October 2024

Abstract
This paper examines the awareness of artificial intelligence (AI) among school teachers in Nepal. We interviewed twenty teachers from ten urban schools in Nepal over four weeks using a semi-structured interview tool. The analysis of interview data reveals the teachers’ mixed perception of AI, including their understanding of innovative technologies in education, the potential challenges for new-generation teachers, and the opportunities for pedagogical transformations. The findings suggest that although the teachers have limited awareness of how AI can be used in teaching and learning, they possess some level of understanding that has opened up new opportunities for exploring innovative ways of teaching and learning. Notably, participants discussed tools, such as Education Management Information System (EMIS) for record keeping and automated grading and AI-driven chatbots for student tutoring. However, teachers also expressed concerns about the possibility of AI replacing human teachers. These insights provide valuable implications for policymakers and educators regarding the integration of AI into classroom instructions to promote innovative and equitable learning opportunities.
Quantifiable Cross-cultural Research on Medical Mistrust is Necessary for Effective and Equitable Vaccination in Low- and Middle-income Countries
Authors: Prall Sean P. 
Published: October 2024

AbstractPerceptions of healthcare personnel and institutions substantially impact healthcare behaviors. In the US, minority experiences with racist events like the Tuskegee study, alongside everyday experiences of marginalization and discrimination, drive medical mistrust in populations that are already burdened with health inequalities. However, the concept of medical mistrust is rarely applied outside of industrialized contexts. Histories of colonialism, underfunded healthcare institutions, and the enormous cultural and ethnolinguistic diversity present in low- and middle-income countries (LMICs) make medical mistrust a likely contributor to health behavior in these contexts. In the era of COVID-19 and emergent malaria vaccines, there is an urgent need to mitigate factors leading to medical mistrust, which impedes interest in novel vaccines. Doing so requires substantial investment in research that examines the causes of medical mistrust across diverse communities, develops methodological tools that can effectively measure medical mistrust across diverse cultural and ethno-linguistic contexts, and applies this data to policy and public health messaging. This commentary highlights the role of medical mistrust in vaccination and argues for its utility in addressing vaccine decision-making in LMICs.
University teachers' perspectives on synchronous in-person and distance teaching and learning (SynPaD hybrid)
Authors: Shephard Kerry , Luong Hoa , Connelly Sean , Tewari Vidusha 
Published: October 2024

AbstractAlthough most teaching in higher education may still involve either in-person teaching or online distance teaching, various forms of hybrid teaching are becoming more common. Maturity of hybrid teaching has been limited by the lack of research-based development and poor definition of teaching practices in the literature. This article is about a particular variant of hybrid teaching (SynPaD hybrid) involving learners in the physical presence of one or more teachers with other learners attending synchronously via videoconferencing, in situations where all participants can, or should be able to, interact both verbally and visually with all other participants. The article applies a recognised qualitative research approach to gather potentially important insights into the perspectives of university teachers in capacities as teachers and as learners about SynPaD hybrid teaching, and interprets its findings using self-determination theory. Notable insights from this research suggest that university teachers in the role of learners are able to appreciate SynPaD hybrid and may insist that university teachers tasked with supporting learning in this context should rise to the challenges of teaching in this way. University teachers, acting in the role of teacher, may question the practicality of teaching in SynPaD hybrid and their motivation to teach in this way. This article describes and comments on the difficult decisions faced by higher education institutions as SynPaD hybrid emerges as an alternative to more orthodox in-person and online teaching situations.
Back to basics: the coagulation pathway
Authors: Park Seonyang , Park Joo Kyung 
Published: October 2024

AbstractThe classic coagulation cascade model of intrinsic and extrinsic coagulation pathways, i.e. contact activation pathway and tissue factor pathway, has been widely modified. The cascade can be categorized as follows: 1) initiation by tissue factor (TF), 2) amplification by the intrinsic tenase complex, and 3) propagation on activated platelets. TF-FVIIa forms an extrinsic tenase complex and activates FX to FXa and FIX to FIXa. FXa-FVa forms a prothrombinase complex that converts prothrombin into thrombin. At this initial stage of coagulation, only small amounts of thrombin are generated owing to the low circulating levels of FVa. The generated thrombin, although in minor quantities, is sufficient to prime the subsequent coagulation reactions. Platelets and in turn FV, FVIII, and FXI are activated. Subsequently, FVIIIa binds to FIXa to form the intrinsic tenase complex, which is aided by a cofactor, FVIIIa, and activates FX at a rate 50-times higher than that of the extrinsic tenase complex, thereby amplifying thrombin generation. Thrombin cleaves fibrinogen into one fibrin monomer and two fibrinopeptides. Fibrin monomers aggregate, crosslink, and branch into an insoluble fibrin network structure. The contact activation system is initiated by FXII, which is activated upon exposure to negatively charged surfaces. Coagulation is driven by FXIIa-mediated FXI cleavage. FXIa activates FIX, which forms an intrinsic tenase complex, eventually leading to thrombin formation. The contact activation system is considered to contribute to thrombosis but is not required for hemostasis in vivo.
Towards a Politics of Transgression in Environmental Education Research: Meta-review of a T-Learning Research ‘Archive’
Authors: Lotz-Sisitka Heila 
Published: October 2024

AbstractThe need for more radical forms of learning-centred transformation is increasingly recognised in transformations to sustainability. Yet these approaches to learning remain under-developed and undertheorised especially from a politics and environmental education research perspective. This paper offers a review of an emerging politics of transgression in environmental education research, as developed through an extensive T-learning (transgressive learning in times of climate change) knowledge co-production research programme, spanning eight years, and continuing. The ongoing problem that the research programme seeks to address is how to do transgressive learning in/as environmental education research in times where the fall out of coloniality and fossil capital collide in an increasingly regressive political landscape which Akomolafe and Ladha (2017, pg. 820) describe as “the deadening ideology of late-stage capitalism and its corollaries of patriarchy, rationalism, white supremacy and anthropocentrism.” Through the paper, I seek to highlight a “low theory” (Wark, 2021) of transgressive politics in environmental education research, embodied in practices of transgressive politics as movement in co-engaged T-learning research, which I illuminate through a meta-reflective curational process from the ‘archive’ or T-learning knowledge commons collection.
Impact of waterborne E. coli outbreaks on local communities: evidence from housing transactions in Michigan
Authors: Graziano Marcello , Liu Pengfei , Meyer Kevin , Zhang Wendong 
Published: October 2024

AbstractWaterborne Escherichia coli (E. coli) represents a pervasive water quality problem across the United States. In Michigan, the presence of E. coli has become problematic for many areas where agricultural run-off and ineffective policies have made these outbreaks endemic. Combining the universe of housing transaction datasets from 2009 to 2017 with the State of Michigan water sampling dataset, we investigate and quantify the negative impacts of E. coli outbreaks on local housing prices. Our difference-in-differences model estimates an overall impact of −8.94% for houses in the treatment group relative to the control group. However, this effect is only short term, as sales prices recover after the outbreak has ended.
Advancing and strengthening the study of social networks in community-level dissemination and implementation research: A narrative review
Authors: Korn Ariella R. , Cruz Jennifer L. , Smith Natalie R. , Jacob Rebekah R. , Carney Megan , Slater Wallis , Ramanadhan Shoba 
Published: October 2024

Abstract
The dissemination and implementation (D&I) of evidence at the community level is critical to improve health and advance health equity. Social networks are considered essential to D&I efforts, but there lacks clarity regarding how best to study and leverage networks. We examined networks in community-level D&I frameworks to characterize the range of network actors, activities, and change approaches. We conducted a narrative review of 66 frameworks. Among frameworks that explicitly addressed networks – that is, elaborated on network characteristics, structure, and/or activities – we extracted and synthesized network concepts using descriptive statistics and narrative summaries. A total of 24 (36%) frameworks explicitly addressed networks. Commonly included actors were implementers, adopters/decision-makers, innovation developers, implementation support professionals, and innovation recipients. Network activities included the exchange of resources, knowledge, trust, and norms. Most network-explicit frameworks characterized ties within and across organizations and considered element(s) of network structure – for example, size, centrality, and density. The most common network change strategy was identifying individuals to champion D&I efforts. We discuss opportunities to expand network inquiry in D&I science, including understanding networks as implementation determinants, leveraging network change approaches as implementation strategies, and exploring network change as an implementation outcome.
The intersection of community engagement and team science research: A scoping review
Authors: Hohl Sarah D. , Abu-Rish Blakeney Erin , Carter-Edwards Lori , Ramirez Magaly , Wright Sarah Towner , Zierler Brenda K. , van Rensburg Dillon , Jewell Teresa , Ko Linda K. 
Published: October 2024

Abstract

Introduction:
Integrating community expertise into scientific teams and research endeavors can holistically address complex health challenges and grand societal problems. An in-depth understanding of the integration of team science and community engagement principles is needed. The purpose of this scoping review was to identify how and where team science and community engagement approaches are being used simultaneously in research.

Methods:
We followed Levac’s enhancement of Arksey and O’Malley’s Scoping Review Framework and systematically searched PubMed, CINAHL, Scopus, ERIC, and Embase for team science and community engagement terms through January 2024.

Results:
Sixty-seven articles were reviewed. Publications describing integrated team science and community-engaged research have increased exponentially since 2004. Over half were conducted outside of the U.S., utilized qualitative methods, included community-researcher co-development of research question and study design, and described team partnership goals, roles, and management. Fewer studies evaluated partnership, built community capacity, described financial compensation to communities, or described team dynamics facilitation.

Conclusion:
As researchers continue to integrate community engagement and team science, common criteria and strategies for integrating the approaches are needed. We provide 19 recommendations for research teams, research institutions, journals, and funding bodies in service of advancing the science and practice of this integration.
Treatment of the ice-shelf backpressure and buttressing in two horizontal dimensions
Authors: Sergienko Olga 
Published: October 2024

Abstract
The ice discharge from the grounded parts of marine ice sheets into the ocean is modulated by their floating extensions – ice shelves. The ice-shelf impact on the grounded ice is typically described as ‘backpressure’ or ‘buttressing’. Theoretical analyses of their effects have been restricted to one horizontal dimension. This study revisits the concepts of ‘backpressure’ introduced by Thomas (1977) and ‘buttressing’ numbers and ratios introduced by Gudmundsson (2013) and extends their theoretical analysis to two horizontal dimensions. Using the integral form of the momentum-balance formulation suitable for fast-flowing ice streams and ice shelves, our analysis provides a natural definition for the total backpressure force exerted by an ice shelf to the grounded ice upstream of its grounding line. The results of numerical analyses suggest that ice shelves whose second principal stress component is compressional over larger areas may provide more buttressing compared to ice shelves with smaller areas of compressional stresses or to ice shelves with both principal stresses being tensile.
The relationship between anxiety and diet quality in adolescent populations: a cross-sectional analysis
Authors: Campisi Susan C. , Savel Katarina A. , Korczak Daphne J. 
Published: October 2024

Abstract
Globally, more than 13 % of adolescents have clinically significant mental health problems, with anxiety and depression comprising over 40 % of cases. Despite the high prevalence of anxiety disorders among youth, dietary research has been focused on youth with depression, resulting in a significant knowledge gap regarding the impact of anxiety on adolescent diet quality. Adolescents with diagnosed anxiety disorders and healthy controls were included in this study. Anxiety symptoms were measured using the Screen for Child Anxiety-Related Disorders. Diagnosis of anxiety disorder was determined using the Kiddie Schedule for Affective Disorders and Schizophrenia interview. Five diet quality indices were scored from FFQ. Diet quality indices associated with anxiety symptoms in the correlation matrix were interrogated using multiple linear regression modelling. All models were adjusted for depression. One hundred and twenty-eight adolescents (mean age 14·8 years (sd: 2·1); 66·4 % female) were included in this cross-sectional analysis. Although healthy controls and outpatient participants had similar unhealthy dietary index subscale scores, outpatient participants had lower healthy index scores. Higher anxiety symptoms were associated with lower healthy dietary indices in univariate analysis; after adjusting for comorbid depression; however, anxiety symptoms were no longer associated with dietary indices following adjustment for multiple testing (P = 0·038 to P = 0·077). The association between anxiety symptoms and a poor diet is attenuated by depression. The results of this study support the need for an integrated approach to the assessment of mental and physical well-being and further research aimed at understanding the unique contribution of depression to healthy dietary patterns.