bluuebunny/crossref_metadata_2025_split huggingface dataset:
Seismic site effects in Lisbon: the role of complex geological and morphological conditions
Authors: Oliveira Liliana , Gomes Rui Carrilho , Amoroso Sara , Pagliaroli Alessandro , Teves-Costa Paula 
Published: July 2024

AbstractLisbon’s historical seismicity, socioeconomic importance and population density contribute to a moderate to high seismic risk. The geological setting of the city includes cases of inclined layers, interbedding sedimentary rock layers in soil deposits, sand and clay layers in the same geological unit, leading to cases of shear wave velocity inversion and a large scatter of geotechnical properties within each geological unit. The morphological setting of the city is characterised by the existence of several hills and relatively shallow, stream-carved valleys filled with alluvial deposits. The seismic site effects in Lisbon were assessed through numerical simulation using the linear equivalent method and adopting the two types of seismic action defined in the Portuguese National Annex of Eurocode 8: (i) one-dimensional subsoil models covering the city, at sites where borehole data and geophysical data were available; (ii) two-dimensional subsoil models along three cross-sections representative of the geological settings and morphology. The distribution of amplification factors in the city revealed a pattern related to ground characteristics that impact seismic soil response, such as the presence of high-thickness cover deposits, significant shear-wave variations, alluvial valleys, a crest or significant slope variations and inclined layers. The 2D/1D spectral ratio highlighted the areas were 2D seismic effects are more important. The soil factor determined in the numerical analyses was consistently greater than the soil factor values indicated in Eurocode 8.
The impact of simulation applications on the problem-solving and decision-making skills of school administrators and prospective administrators: An experimental study
Authors: Atici Esra Kaya , Turhan Muhammed 
Published: July 2024

Abstract
Although the competencies expected from administrators have increased with the development of technology, it is seen that there are a limited number of studies on innovative approaches in training school administrators. The study aims investigate the impact of simulation applications on the problem-solving and decision-making abilities of school administrators and prospective administrators. To achieve this objective, a pretest and posttest quasi-experimental study was conducted, using experimental and control groups. The study employed a parallel mixed design, which combines quantitative and qualitative research approaches. The research group consisted of 61 school administrators and prospective administrators, with 30 participants in the experimental group and 31 in the control group. The Melbourne Decision Making Questionary I-II (MCDS I-II) and the Problem Solving Inventory (PSI) were utilized as data collection instruments before and after the 6-week experimental process. Furthermore, a semi-structured interview form was administered to the experimental group participants following the application. The results of the data analysis indicated that the simulation application effectively enhanced the decision-making and problem-solving skills of the experimental group participants, while reducing the use of approaches that hindered the positive effects of these skills.
Analyzing the environmental role of resource efficiency, economic globalization, and biomass usage in Malaysia: a time-varying causal approach
Authors: Awosusi Abraham Ayobamiji , Eweade Babatunde Sunday , Ojekemi Opeoluwa Seun 
Published: July 2024

AbstractMalaysia’s commitment towards sustainable environment requires implementing clean energy sources and less raw materials usage, which could have a significant impact on the nation’s biocapacity and ecological footprint. As a result, this study examined the environmental impact of resource efficiency, biomass energy, and economic growth in Malaysia, within the load capacity curve hypothesis framework, while controlling economic globalization, financial globalization and trade globalization. This research utilizes the ARDL estimator and the bootstrapped time-varying causality (TVC) approach to analyse the dataset from 1970 to 2018. The findings of the ARDL estimator reveals that biomass energy and resource efficiency increase load capacity factor (LF), while trade globalization reduces LF in Malaysia. Furthermore, the result uncovered the validity of the load capacity curve hypothesis, highlighting that the persistent economic activities will help to achieving ecological quality in Malaysia. The result of the bootstrapped TVC approach reveals a feedback causal association between LF and its predictors in Malaysia. These results emphasize the need for an effective circular economy, which involves maximizing resource use, reducing waste, and incorporating biomass energy into this framework.
Learning Analytics Dashboards for Assessing Remote Labs Users' Work: A Case Study with VISIR-DB
Authors: Serrano Vanessa , Cuadros Jordi , Fernández-Ruano Laura , García-Zubía Javier , Hernández-Jayo Unai , Lluch Francesc 
Published: July 2024

AbstractIn science and engineering education, remote laboratories are designed to bring ubiquity to experimental scenarios, by having real laboratories operated through the Internet. Despite that remote laboratories enable the collection of students' work data, the educational use of these data is still underdeveloped. Learning analytics dashboards are common tools to present and analyze educational data to provide indicators to understand learning processes. This paper presents how data from remote labs, such as Virtual Instruments Systems In Reality (VISIR), can be analyzed through a learning analytics dashboard to help instructors provide better feedback to their pupils. Visualizations to study the use of the VISIR, to assess students’ performance in a particular activity and to facilitate the assisted assessment of students are introduced to the VISIR dashboard (VISIR-DB). These visualizations include a new recodification of circuits that keeps the fragment being measured, in order to better identify student’s intention. VISIR-DB also incorporates functions to check a priori steps in the resolution process and/or potential errors (observation items), and logical combinations of them to grade students' performance according to the expected outcomes (assessment milestones). Both work indicators, observation items and assessment milestones, can be defined in activity-specific text files and allow for checking the circuit as coded by the interface, the conceptual circuit it represents, its components, parameters, and measurement result. Main results in the use of VISIR for learning DC circuits course show that students mainly use VISIR when indicated by instructors and a great variability regarding to time of use and number of experiments performed. For the particular assessment activity, VISIR-DB helps to easily detect that there is a significant number of students that did not achieved any of the expected tasks. Additionally, it helps to identify students that still make a huge number of errors at the end of the course. Appropriate interventions can be taken from here.
Stabilization of durable tetragonal phase and barrier regions in y-123 ceramic systems with partial substitution mechanism
Authors: Güdücü Gülnur , Safran Serap , Kurnaz Sedat , Tokeşer Elif Aşikuzun , Seydioğlu Turgay , Yildirim Gürcan , Öztürk Özgür 
Published: July 2024

AbstractThis study examines the impact of Tb and Zn doping on the Y-123 superconducting system by analyzing crack propagation mechanisms through Vickers microhardness measurements. The measurements are conducted at various application forces ranging from 0.245 N to 2.940 N. The microhardness measurements are used to determine the role of impurity addition on Vickers hardness, modulus of elasticity, brittleness index, fracture toughness, and yield strengths. It is found that impurity ions serving as strong barrier regions improve the surface residual compressive stress sites and interactivity between the adjacent layers. Similarly, the sensitivity to the external forces reduce significantly with the substitution mechanism due to the induced new slip systems and ionic bond formations. Accordingly, all the mechanical performance properties are recorded to increase significantly with the impurity ions. Especially, the replacement of Zn by Cu ions in the Y-123 matrix exhibits higher resistance to failure, mechanical strength, and stabilization of the durable tetragonal phase. Accordingly, Zn/Cu substitution in Y-123 ceramics paves the way for the applications of ceramic compounds in the fields of heavy-industrial technology and industrial power systems. All the ceramic materials also exhibit indentation size effect feature based on the recovery mechanism. Additionally, load-independent microhardness parameters are semi-empirically modeled by Meyer's law, Hays-Kendall, indentation-induced cracking, elastic–plastic deformation, and proportional sample resistance model for the first time. According to the comparisons, the IIC model is identified as the most suitable for interpreting the real microhardness results of newly produced Y-123 ceramic matrices.
Mixed effect estimation in deep compartment models: Variational methods outperform first-order approximations
Authors: Janssen Alexander , Bennis Frank C. , Cnossen Marjon H. , Mathôt Ron A. A. ,   for the OPTI-CLOT study group SYMPHONY consortium, Reitsma S. H. , Leebeek F. W. G. , Coppens M. , Fijnvandraat K. , Meijer K. , Schols S. E. M. , Eikenboom H. C. J. , Schutgens R. E. G. , Heubel-Moenen F. , Nieuwenhuizen L. , Ypma P. , Driessens M. H. E. , van Vliet I. , Kruip M. J. H. A. , Polinder S. , Brons P. , van der Meer F. J. M. , Fischer K. , van Galen K. , Collins P. W. , Mathias M. , Chowdary P. , Keeling D. , Lock J. , Hazendonk H. C. A. M. , Preijers T. , de Jager N. C. B. , Schutte L. , Bukkems L. H. , Goedhart M. C. H. J. , Heijdra J. M. , Romano L. , Al Arashi W. , Cloesmeijer M. E. , Koopman S. F. , Mussert C. 
Published: July 2024

AbstractThis work focusses on extending the deep compartment model (DCM) framework to the estimation of mixed-effects. By introducing random effects, model predictions can be personalized based on drug measurements, enabling the testing of different treatment schedules on an individual basis. The performance of classical first-order (FO and FOCE) and machine learning based variational inference (VI) algorithms were compared in a simulation study. In VI, posterior distributions of the random variables are approximated using variational distributions whose parameters can be directly optimized. We found that variational approximations estimated using the path derivative gradient estimator version of VI were highly accurate. Models fit on the simulated data set using the FO and VI objective functions gave similar results, with accurate predictions of both the population parameters and covariate effects. Contrastingly, models fit using FOCE depicted erratic behaviour during optimization, and resulting parameter estimates were inaccurate. Finally, we compared the performance of the methods on two real-world data sets of haemophilia A patients who received standard half-life factor VIII concentrates during prophylactic and perioperative settings. Again, models fit using FO and VI depicted similar results, although some models fit using FO presented divergent results. Again, models fit using FOCE were unstable. In conclusion, we show that mixed-effects estimation using the DCM is feasible. VI performs conditional estimation, which might lead to more accurate results in more complex models compared to the FO method.
Transition of the Simple Random Walk on the Ice Model Graph
Authors: Bressaud Xavier , Cohen Serge 
Published: July 2024

AbstractThe 6-vertex model holds significance in various mathematical and physical domains. The configurations of the 6-vertex model correspond to the paths in multigraphs. This article focuses on calculating the transition probability for the simple random walk on these multigraphs. An intriguing aspect of the findings is the utilization of continued fractions in the computation of the transition probability.
Do Adolescents Adopt the Prosocial Behaviors of the Classmates They Like? A Social Network Analysis on Prosocial Contagion
Authors: Chávez Daniela V. , Palacios Diego , Laninga-Wijnen Lydia , Salmivalli Christina , Garandeau Claire F. , Berger Christian , Luengo Kanacri Bernadette Paula 
Published: July 2024

Abstract
While the influence of high-status peers on maladaptive behaviors is well-documented, socialization processes of prosocial behavior through high-status peers remain understudied. This study examined whether adolescents’ prosocial behavior was influenced by the prosocial behavior of the peers they liked and whether this effect was stronger when the peers they liked were also well-liked by their classmates. Three waves of data, six months apart, were collected among Chilean early adolescents who completed peer nominations and ratings at Time 1 (n = 294, Mage = 13.29, SD = 0.62; 55.1% male), Time 2 (n = 282), and Time 3 (n = 275). Longitudinal social network analyses showed that adolescents adopted the prosocial behavior of the classmates they liked - especially if these classmates were well-liked by peers in general. In addition, adolescents low in likeability were more susceptible to this influence than adolescents high in likeability. The influence resulted both in increases and – especially – decreases in prosocial behavior, depending on the level of prosociality of the liked peer. Findings suggest that likeability represents an important aspect of peer status that may be crucial for understanding the significance of peer influence with respect to prosocial behaviors during adolescence. Pre-Registration: https://osf.io/u4pxm.
On the number of A-transversals in hypergraphs
Authors: Barát János , Gerbner Dániel , Halfpap Anastasia 
Published: July 2024

AbstractA set S of vertices in a hypergraph is strongly independent if every hyperedge shares at most one vertex with S. We prove a sharp result for the number of maximal strongly independent sets in a 3-uniform hypergraph analogous to the Moon-Moser theorem. Given an r-uniform hypergraph $${{\mathcal {H}}}$$
H
and a non-empty set A of non-negative integers, we say that a set S is an A-transversal of $${{\mathcal {H}}}$$
H
if for any hyperedge H of $${{\mathcal {H}}}$$
H
, we have $$|H\cap S| \in A$$

|
H
∩
S
|
∈
A

. Independent sets are $$\{0,1,\dots ,r{-}1\}$$

{
0
,
1
,
⋯
,
r
-
1
}

-transversals, while strongly independent sets are $$\{0,1\}$$

{
0
,
1
}

-transversals. Note that for some sets A, there may exist hypergraphs without any A-transversals. We study the maximum number of A-transversals for every A, but we focus on the more natural sets, $$A=\{a\}$$

A
=
{
a
}

, $$A=\{0,1,\dots ,a\}$$

A
=
{
0
,
1
,
⋯
,
a
}

or A being the set of odd integers or the set of even integers.
“Think on the Bludy Serk:” Allegory and Figura in Henryson’s Minor Poem
Authors: Babich Nicholas 
Published: July 2024

AbstractThis essay analyzes the allegorical mode of the previously understudied poem by Robert Henryson, The Bludy Serk. In Serk, a knight saves a lady whom he loves from an evil giant, dying in the process. This story is then compared to the story of Christ's Passion, and the poem concludes by identifying the two stories as, in some sense, the same story. This narrative mode is best described using the concept of figura as understood by Erich Auerbach in his essay on the subject. Serk is the only poem in Henryson's corpus which seems to employ this manner of constructing its narrative(s) and is relatively unique among lyrical poems about Christ's Passion in the later Middle Ages. In this regard, it seems to be innovative, and merits future study by Henryson scholars and students of allegory alike.
Living in the Aftermath: Spiritual Struggles of Hong Kong Christian Women Survivors of Sexual Violence
Authors: Yih Caroline 
Published: July 2024

AbstractSpiritual trauma is one of the common outcomes for Christian women trauma survivors together with other psychological challenges (McNulty & Wardle in Child Abuse & Neglect, 18, 549–555, 1994; Rudolfsson & Tidefors in Pastoral Psychology, 64, 453–467, 2015; Yih in "Business as usual": Are Hong Kong faith communities supportive to Christian women with sexual harassment trauma? under review). Victims frequently experience much disappointment with the pastoral or congregational support they receive in the aftermath of their disclosure, which critically exacerbates their primary traumatic overwhelm and causes various faith-related challenges collectively known as spiritual struggle (Doyle in Sexual abuse in the Catholic clergy: A decade of crisis, 2002–2012 (pp. 171–182). Praegar, 2011). In this paper, I critically examine the spiritual aspect within the complex processes of Hong Kong Christian women survivors of sexual violence trauma recovering from the impacts caused by the responses of the victims’ faith communities using the qualitative research methodology of interpretative phenomenological analysis (IPA). The paper contributes to the growing efforts to develop an integrated and holistic provision of theologically robust and trauma-informed pastoral care for those struggling on the complex and challenging journey in the aftermath of trauma caused by sexual violence.
Construction of Jacobi forms using adjoint of the Jacobi–Serre derivative
Authors: Charan Mrityunjoy , Vaishya Lalit 
Published: July 2024

AbstractIn the article, we study the Oberdieck derivative defined on the space of weak Jacobi forms. We prove that the Oberdieck derivative maps a Jacobi form to a Jacobi form. Moreover, we study the adjoint of the Oberdieck derivative of a Jacobi cusp form with respect to the Petersson scalar product defined on the space of Jacobi forms. As a consequence, we also obtain the adjoint of the Jacobi–Serre derivative (defined in an unpublished work of Oberdieck). As an application, we obtain certain relations among the Fourier coefficients of Jacobi forms.
Decentralized Finance (DeFi) assurance: early evidence
Authors: Bourveau Thomas , Brendel Janja , Schoenfeld Jordan 
Published: July 2024

AbstractDecentralized finance (DeFi) has emerged to offer traditional financial services such as lending, borrowing, and trading without intermediaries (e.g., banks). DeFi transactions are typically executed using a special digital class of contracts called smart contracts. These contracts are self-executing and hard-coded directly on a blockchain. We observe the emergence of a new class of voluntary audits that evaluate the integrity of these contracts. Using a hand-coded sample of about 8,500 smart contract audit reports, we provide some of the first evidence showing that (1) these audits are pervasive, (2) the audit firm market is composed of new technical audit firms, (3) the scope of these audits can span a variety of contract features, (4) the audit inputs and outputs differ substantively from those of conventional financial audits, and (5) the market reacts positively to the release of these audit reports, suggesting that these reports are value-relevant. These findings highlight the demand for novel assurance services driven by blockchain technology.
Complexity Heliophysics: A Lived and Living History of Systems and Complexity Science in Heliophysics
Authors: McGranaghan Ryan M. 
Published: July 2024

AbstractThis review examines complexity science in the context of Heliophysics, describing it not as a discipline, but as a paradigm. In the context of Heliophysics, complexity science is the study of a star, interplanetary environment, magnetosphere, upper and terrestrial atmospheres, and planetary surface as interacting subsystems. Complexity science studies entities in a system (e.g., electrons in an atom, planets in a solar system, individuals in a society) and their interactions, and is the nature of what emerges from these interactions. It is a paradigm that employs systems approaches and is inherently multi- and cross-scale. Heliophysics processes span at least 15 orders of magnitude in space and another 15 in time, and its reaches go well beyond our own solar system and Earth’s space environment to touch planetary, exoplanetary, and astrophysical domains. It is an uncommon domain within which to explore complexity science. After first outlining the dimensions of complexity science, the review proceeds in three epochal parts: 1) A pivotal year in the Complexity Heliophysics paradigm: 1996; 2) The transitional years that established foundations of the paradigm (1996-2010); and 3) The emergent literature largely beyond 2010. This review article excavates the lived and living history of complexity science in Heliophysics. It identifies five dimensions of complexity science, some enjoying much scholarship in Heliophysics, others that represent relative gaps in the existing research. The history reveals a grand challenge that confronts Heliophysics, as with most physical sciences, to understand the research intersection between fundamental science (e.g., complexity science) and applied science (e.g., artificial intelligence and machine learning (AI/ML)). A risk science framework is suggested as a way of formulating the grand scientific and societal challenges in a way that AI/ML and complexity science converge. The intention is to provide inspiration, help researchers think more coherently about ideas of complexity science in Heliophysics, and guide future research. It will be instructive to Heliophysics researchers, but also to any reader interested in or hoping to advance the frontier of systems and complexity science.
An all-purpose framework for affordances. Reconciling the behavioral and the neuroscientific stories
Authors: Ferretti Gabriele , Zipoli Caiani Silvano 
Published: July 2024

AbstractResearch on the concept of affordance generated different interpretations, which are due to different stories aimed at describing how this notion accounts for visually guided motor behaviors. On the one hand, dispositional accounts of affordances explain how affordances emerge from the encounter of the agent’s perceptual-motor skills, with an object offering possible interactions, as behavioral dispositional properties. On the other hand, cognitive neuroscience explains what neural mechanisms are required for agents to detect affordances, resulting from an internal processing. As the literature recognized, it would be beneficial to connect these two stories. We propose an important step into this connection, showing how a dispositional notion of affordance can be distinguished into two versions, the Dispositional Account of Nomological Affordance Response and the Dispositional Account of Probable Affordance Response, and how to complement different aspects of visuomotor processing for affordance extraction, discussed in neuroscience, with them. An important benefit of our proposal is that it suggests, for the first time, that we should not prefer one dispositional account at the expense of the other. Indeed, we show that different dispositional accounts can capture distinct aspects of the plethora of complex manifestations, at the neurocognitive level of visuomotor-processing, that affordances can display in humans, both in healthy and pathological subjects.