bluuebunny/crossref_metadata_2025_split huggingface dataset:
What makes a simulation-based learning environment for preservice teachers authentic? The role of individual learning characteristics and context-related features
Authors: Stürmer Kathleen , Fütterer Tim , Kron Stephanie , Sommerhoff Daniel , Ufer Stefan 
Published: May 2024

AbstractTo support professional competence development in teacher education, learning environments should allow learners to engage with professional tasks. It is crucial for knowledge and skill transfer in such learning environments to real-life context that preservice teachers perceive the task as authentic. However, due to a lack of prior knowledge, novices may have difficulties in recognizing relevant elements of practice. It is thus assumed that different factors may guide their perception of task authenticity independently of the task that has to be mastered. Such factors could be, for example, overt design features of the learning environments on a physical level or the familiarity with the learning context and learning prerequisites, which act as important links for knowledge acquisition. In this study, preservice teachers’ perception of task authenticity is contrasted between two implementation types (video vs. role-play) of the same simulation aiming to foster diagnostic competence. The two types differ in approximating real-life practice concerning the professional task that has to be mastered. In an experimental, longitudinal study, N = 119 mathematics preservice teachers participated online in one type of the simulation four times during one semester (n = 66 video, n = 53 role-play). Perceived task authenticity was higher for the video simulation type and increased with repeated participation in the simulation independently of the implementation type. Further, preservice teachers’ task utility value positively influenced their perception of task authenticity. The results illustrate the role of learning prerequisites as well as familiarity with the task for novices’ perception. Also, they could be an initial indication that, depending on the level of learners’ professional development, the way of approximating real-life practice in simulations might influence the perception of task authenticity.
Robust Automated Tumour Segmentation Network Using 3D Direction-Wise Convolution and Transformer
Authors: Chu Ziping , Singh Sonit , Sowmya Arcot 
Published: May 2024

AbstractSemantic segmentation of tumours plays a crucial role in fundamental medical image analysis and has a significant impact on cancer diagnosis and treatment planning. UNet and its variants have achieved state-of-the-art results on various 2D and 3D medical image segmentation tasks involving different imaging modalities. Recently, researchers have tried to merge the multi-head self-attention mechanism, as introduced by the Transformer, into U-shaped network structures to enhance the segmentation performance. However, both suffer from limitations that make networks under-perform on voxel-level classification tasks, the Transformer is unable to encode positional information and translation equivariance, while the Convolutional Neural Network lacks global features and dynamic attention. In this work, a new architecture named TCTNet Tumour Segmentation with 3D Direction-Wise Convolution and Transformer) is introduced, which comprises an encoder utilising a hybrid Transformer-Convolutional Neural Network (CNN) structure and a decoder that incorporates 3D Direction-Wise Convolution. Experimental results show that the proposed hybrid Transformer-CNN network structure obtains better performance than other 3D segmentation networks on the Brain Tumour Segmentation 2021 (BraTS21) dataset. Two more tumour datasets from Medical Segmentation Decathlon are also utilised to test the generalisation ability of the proposed network architecture. In addition, an ablation study was conducted to verify the effectiveness of the designed decoder for the tumour segmentation tasks. The proposed method maintains a competitive segmentation performance while reducing computational effort by 10% in terms of floating-point operations.
Estimating kill intervals for a specific prey species using location clusters from GPS-collared Eurasian lynx (Lynx lynx)
Authors: Vogt Kristina , Roth Tobias , Signer Sven , Willisch Christian Simon , Amrhein Valentin 
Published: May 2024

AbstractAn increasing number of GPS telemetry studies have helped to gain important insights into predator-prey relationships in recent years. However, considerable time and effort is needed to evaluate whether GPS location clusters (GLCs) reflect predation events. To reduce field effort, predictive models are being developed to calculate predator kill intervals, but few studies have attempted to do this for a specific species of prey. Between 2013 and 2018, we studied predation by 13 GPS-collared Eurasian lynx (Lynx lynx) on Alpine chamois (Rupicapra rupicapra) in the northwestern Swiss Alps. Our objectives were to predict the total number of killed chamois, including potential kills in unchecked GLCs, and to evaluate if model predictions were sufficiently accurate. We built a set of generalized linear models (GLM) predicting the occurrence of GLCs containing lynx-killed chamois (1) versus GLCs containing other prey types or no prey (0) and compared their predictive performance by means of k-fold cross-validation. We found that model performance was very similar for all candidate models, with the full model yielding the best cross-validation result (accuracy = 0.83, sensitivity = 0.43, specificity = 0.94). Female lynx killed on average one chamois every 11.9 days (10.6–13.0 days, 95% CI); male lynx killed one chamois every 7.2 days (6.7–7.6 days, 95% CI). Our model showed high specificity for detecting non-chamois GLCs, but sensitivity for detection of GLCs with actual chamois kills was low. We conclude that the sensitivity of the models should be further improved, but the results can be sufficient for practical application. Predictive modelling approaches do not replace extensive fieldwork but require large sets of field data, high individual variability and thorough knowledge of a predator’s ecology and prey community. Our approach may provide useful results for binary classifications in rather simple predator-prey systems, but extrapolations from one study system to another might be difficult.
Fermatean fuzzy sets and its extensions: a systematic literature review
Authors: Büyüközkan Gülçin , Uztürk Deniz , Ilıcak Öykü 
Published: May 2024

AbstractThe Fermatean Fuzzy Set (FFS) theory emerges as a crucial and prevalent tool in addressing uncertainty across diverse domains. Despite its recognized utility in managing ambiguous information, recent research lacks a comprehensive analysis of key FFS areas, applications, research gaps, and outcomes. This study, conducted through the Scientific Procedures and Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol, delves into an exploration of the FFS literature, reviewing 135 relevant articles. The documents are meticulously analyzed based on their integrated methodologies, Aggregation Operators (AOs), linguistic sets, and extensions. Additionally, a thematic analysis, facilitated by the Bibliometrix tool, is presented to provide nuanced insights into future research directions and crucial areas within the literature. The study unveils valuable findings, including the integration of linguistic variables with interval-valued FFS, fostering robust environments for dynamic decision-making—a mere glimpse of the potential directions for future research. The gaps and future directions section further articulates recommendations, offering a structured foundation for researchers to enhance their understanding of FFS and chart future studies confidently.
Long-term prospective outcome data using EndoPredict as risk stratification and chemotherapy decision biomarker in hormone receptor-positive, HER2-negative early breast cancer
Authors: Klein Evelyn , Kiechle Marion , Josipovic Adriana , Anders Sophie-Isabelle , Noske Aurelia , Mogler Carolin , Hapfelmeier Alexander , Ettl Johannes 
Published: May 2024

Abstract
Purpose
To report the prospective long-term outcome data of patients whose chemotherapy decision was guided by the EndoPredict test.

Methods
Patients with hormone receptor-positive HER2-negative early breast cancer with 0–3 positive lymph nodes were enrolled. The EndoPredict test was carried out on all tumor samples. Treatment compliance, local recurrence, distant metastases, and survival were evaluated. Associations of EPclin risk stratification with 5-year disease-free survival and distant metastasis-free survival were evaluated by time-to-event analysis.

Results
368 consecutive patients were included in the analysis. Median follow-up was 8.2 years. EndoPredict allocated 238 (65%) in the low-risk and 130 (35%) patients in the high-risk group. Risk for disease recurrence or death in EPclin high-risk patients was twofold higher than in EPclin low-risk patients (hazard ratio [HR] 2.08; 95% CI 1.26–3.44; p = 0.004). EPclin low-risk patients had a 5-year disease-free survival of 95.3% (95% CI 92.6–98.0%). EPclin high-risk patients were at higher risk of developing distant metastases or death (HR 2.21; 95% CI 1.27–3.88; p = 0.005). EPclin high-risk patients who underwent chemotherapy had a 5-year DFS of 89.1% (95% CI 82.7–96.1%) in contrast to high-risk patients without chemotherapy (68.9%; 95% CI 56.2–84.5%; HR 0.46; 95% CI 0.23–0.95; p = 0.036). EPclin high-risk patients were at higher risk of experiencing distant metastases or death than EPclin low-risk patients regardless of menopausal status (premenopausal: HR 3.55; 95% CI 1.17–12.32; p = 0.025; postmenopausal: HR 1.92; 95% CI 0.99–3.7; p = 0.054).

Conclusion
EndoPredict can guide decisions on adjuvant chemotherapy in early luminal breast cancer. EndoPredict risk stratification is also applicable in premenopausal women.
Liquid penetration in hydrophobised cellulose based sheets
Authors: Nicasy R. J. K. , Waldner C. , Erich S. J. F. , Adan O. C. G. , Hirn U. , Huinink H. P. 
Published: May 2024

AbstractControlling the liquid transport within cellulose-based materials is crucial for numerous applications, including printing, bio-assays, packaging, and cleaning. To control liquid transport and quality, post-processes such as calendering, a way of compressing and smoothen the paper using hard pressure rollers, and hydrophobisation, are commonly employed. To understand how these processes influence liquid uptake, this study uses an Ultra-Fast Imaging (UFI) NMR method to analyse moisture profiles during liquid uptake in various cellulose-based paper sheets with diverse levels of hydrophobisation and calendering. It is demonstrated that calendering decreases penetration speed and increases swelling. The reduction in penetration speed could be linked to a decrease in permeability upon calendering, as measured by the Gurley air permeance. Additionally, it is observed that hydrophobisation delayed and slowed down liquid uptake in the paper samples, and, in extreme cases, completely altered the liquid uptake phenomena. With substantial hydrophobisation, liquid penetration no longer proceeded with a well-defined liquid front but exhibited huge levels of fingering. Furthermore, is was observed that within highly hydrophobised paper, fibres were first prewetted, initiating a first swelling, before the pores between fibres could be filled. Subsequently, water could enter the pores between, allowing fibre bonds to be broken, leading to a second swelling of the paper sheet. The improved understanding will contribute to better control of the flow within cellulose-based materials, benefiting applications such as printing, packaging and microfluidics.
Parental Stress and Quality of Life in Parents of Young Children with Autism
Authors: Dijkstra-de Neijs Leanne , Boeke Daphne B. , van Berckelaer-Onnes Ina A. , Swaab Hanna , Ester Wietske A. 
Published: May 2024

AbstractParents of children with ASD are at risk for chronic stress due to challenging parenting. It is unknown whether stress is already present in early parenthood, similar for mothers and fathers and if this impacts quality of life (QoL). Parental stress and QoL were assessed in 56 mothers and 51 fathers of young children (aged 3 to 7) with autism. Associations between parental stress (OBVL) and QoL (WHOQoL-BREF) were examined. Parents of young children with ASD appear to have high parental stress from conflicting feelings towards their child and from difficulties with parenting. Mothers have higher stress from feeling confined in their motherly role than fathers compared to the OBVL norm population. Both mothers and fathers have a low QoL. Increased maternal conflicting feelings towards the child associated with lower psychological QoL, while high maternal feelings of role confinement associated with low physical QoL. Increased paternal conflicting feelings towards their child related to lower physical and social QoL, while fathers with more parenting difficulties reported less satisfaction with their psychological and environmental wellbeing. Thus, already at young age, parenting children with ASD is a major challenge for both mothers and fathers.
Occupational Therapy in Psychiatric Short-Term Hospitalization Units: Scoping Review
Authors: García-Gestal Uxia , Talavera-Valverde Miguel-Ángel , Souto-Gómez Ana-Isabel 
Published: May 2024

AbstractGiven the context, the overarching aim is to identify scientific publications on occupational therapy in Psychiatric-Short-Term-Hospitalization-Units. Specific objectives include: (a) Analyzing the historical development of this research area; (b) Synthesizing existing evidence on the nature of documentary sources on occupational therapy in in Psychiatric-Short-Term-Hospitalization-Units; (c) Detailing the volume of scientific literature on occupational therapy in these units; (e) Evaluating available evidence on occupational therapy interventions to improve functionality, quality of life, and recovery in individuals admitted to in Psychiatric-Short-Term-Hospitalization-Units. A scoping review method was employed to conduct a historical mapping of research on in Psychiatric-Short-Term-Hospitalization-Units. The review proceeded in five stages following PRISMA guidelines. After applying selection criteria, the search identified 446 references. Findings are presented under three headings: (a) Historical trends in the scientific literature on occupational therapy and in Psychiatric-Short-Term-Hospitalization-Units; (b) Nature and volume of articles included in the occupational therapy synthesis in Psychiatric Short-Term Hospitalization Units; (c) Data extraction on methodological variables in the research of occupational therapy articles in in Psychiatric-Short-Term-Hospitalization-Units; and (d) Data extraction on research outcome variables of occupational therapy articles in Psychiatric Short-Term Hospitalization Units. The growth of occupational therapy in in Psychiatric-Short-Term-Hospitalization-Units is emphasized, with an increase in qualitative studies. Occupational therapy is underscored as an integral part of care, supporting the diversity and effectiveness of interventions. Common diagnoses include schizophrenia and depressive disorders. Group interventions and the spiritual dimension positively influence the quality of care and meaningful routines for recovery in in Psychiatric-Short-Term-Hospitalization-Units.
Effects of Low Emission Zones on Air Quality, New Vehicle Registrations, and Birthweights: Evidence from Japan
Authors: Nishitateno Shuhei , Burke Paul J. 
Published: May 2024

AbstractIn October 2003 four contiguous prefectures in Greater Tokyo introduced Low Emission Zones (LEZs) from which diesel trucks and buses without particulate filters have been banned from entering. This paper analyzes the effects of this large-scale intervention on air quality, new vehicle registrations, and birthweights. We use a matching approach to construct a control group comparable to the designated areas in terms of propensity scores based on municipality characteristics during the pre-intervention period and apply a difference-in-differences design. We find evidence that the intervention led to reductions in hourly particulate matter concentrations and the incidence of low birthweights in the Greater Tokyo LEZ relative to the control group. We also find that the LEZs led to increases in registrations of new trucks and buses. This is not the case for passenger cars, which were exempt from the regulations. Our paper provides the first evidence of a significant link between LEZs and reduced incidence of low birthweights.
There’s power in the community: a sociomaterial analysis of university learning spaces
Authors: Griffiths Teri-Lisa , Dickinson Jill 
Published: May 2024

Abstract
Internationally, the significance of the relationship between the university environment and the student experience is well-documented. In response, UK university leaders have driven forward policies that focus on estates’ expansion and regeneration. The restrictions necessitated by the COVID-19 pandemic presented an opportunity to explore questions around the importance of the materiality of campus and its impact on the student experience. This case study examines students’ experiences over time within a post-1992 UK university during the 2020/2021 academic year and makes a tri-fold contribution. First, it explores how restrictions placed on learning spaces can foreground the relationship(s) between space and learning practice. Second, through adopting a sociomateriality perspective, the paper examines students’ reactions to the top-down approach taken to Higher Education (HE) policymaking, and the potential for exposing manifestations of power within the student experience. Third, the paper illustrates how photovoice methodology can encourage reflections on the impact of materiality on the student experience. The findings reveal two principal themes: power dynamics and community participation. The authors make recommendations for university leaders to adopt a community-first, co-creation approach towards future policymaking that enables meaningful dialogue with students and educators and drives forward sustainable, inclusive change.
Environment, intraspecific lineages and geographic range jointly shape the high morphological variability of Dikerogammarus villosus (Sowinsky, 1894) (Crustacea, Amphipoda): a successful aquatic invader across Europe
Authors: Podwysocki Krzysztof , Bącela-Spychalska Karolina , Desiderato Andrea , Rewicz Tomasz , Copilaş-Ciocianu Denis 
Published: May 2024

AbstractPhenotypic variability is a key factor promoting the establishment and spread of invasive populations in new environments. The Ponto-Caspian region contains a diverse endemic fauna known for its exceptional environmental plasticity, with many species invading European waters. However, the extent to which the environment shapes the phenotypic variability of these successful invaders remains poorly understood. We test to what extent the environment, intraspecific lineage affinity and geographic range interact and shape the variability of ecologically relevant functional morphological traits of the amphipod, Dikerogammarus villosus. Our results show the highest differentiation among environments, with an enhancement of predation-related traits in brackish waters relative to freshwaters. Differentiation among lineages and ranges (native/invaded) was smaller, occurring in traits related to locomotion and food processing. Although we uncovered an overall increase in variability outside the native range, the dynamics of morphological change were lineage-specific: the Western Lineage (invading via the River Danube) underwent a shift towards increased appendage length, while the Eastern Lineage (invading via the River Dnieper) underwent a significant overall morphospace expansion. We conclude that D. villosus exhibits a remarkable morphological variability across Europe that is influenced by the interplay between the environment as well as its evolutionary and invasion history.
Exploring Digital Competencies: Validation and Reliability of an Instrument for the Educational Community and for all Educational Stages
Authors: Soriano-Alcantara Jesús Manuel , Guillén-Gámez Francisco D. , Ruiz-Palmero Julio 
Published: May 2024

AbstractDigital competencies are very significant in terms of integrating digital resources into educational processes. This study presents the validity and reliability of an instrument created by Carrera et al. (2011), in order to evaluate the basic digital competence of the three main educational agents of the educational community (teachers, students, and parents) for all educational stages (Early Childhood Education, Primary Education, Secondary Education and Higher Education), making use of digital resources to (1) Skills in management and transfer of technological data, (2) Software and hardware skills, (3) Web navigation skills, (4) Skills in using word processors, (5) Data processing and management skills, y (6) Multimedia presentation design skills. The application of the instrument was carried out with a sample of 1,149 participants from all educational stages, coming from the entire territory of the Dominican Republic. Reliability was assessed using various measures, including Cronbach’s Alpha, Spearman-Brown Coefficient, Guttman’s Two Halves, McDonald’s Omega, and composite reliability. To validate the instrument, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were carried out with the purpose of understanding the validity and dimensionality of the scale (comprehension validity, construct validity, convergent, discriminant and invariance validity). The results demonstrated highly satisfactory reliability, and in terms of construct validity, a good fit of the model was observed, valid for any educational agent and for any educational stage. The final version of the instrument consists of 20 items classified into six latent factors.
Potential factors-embedding group recommendation for online education
Authors: Yang Qing , Wang Yifeng , Wu Zezheng , Zhang Jingai , Liu Lianhai , Zhang Jingwei 
Published: May 2024

AbstractOnline education platform urgently needs recommendation methods to service learning groups. The existing group recommendation methods rely on member preference aggregation. However, potential factors such as teachers and schools have an important impact on the decision-making of learning groups. Due to the different ways in which potential factors operate, it is very challenging to model the impact these potential factors have on groups. In this paper, we propose a group recommendation method for online education (GEMst) that innovatively designs two modules to capture different types of potential factor embedding. In the subjective guidance module, we construct a heterogeneous information network based on the relationship between guiders (teacher, leader, etc.) and groups, analyze the influence of the guider on the group, and obtain the group representation from this perspective. In the objective environment hypergraph module, we consider the influence mode of the environment (school, platform, etc.) on the group, and propose the objective relationship hypergraph convolution. Compared with hypergraph convolution, it directly learns the influence between groups in the same environment. We provide information fusion strategies that GEMst can collaboratively consider group members’ opinions and the impact of potential factors. In addition, to enhance the learning effect of the model, we design a pre-training strategy based on the user grouping relationship that obtains more accurate user embedding representations. We test GEMst on two real-world datasets, and the results show that GEMst outperforms the current baseline group recommendation method.