bluuebunny/crossref_metadata_2025_split huggingface dataset:
Narrating Loneliness: Isolation, Disaffection, and the Contemporary Novel
Authors: Rotger Neus 
Published: June 2024

AbstractThis article focuses on the ways in which narrative accounts of loneliness in literature problematize current definitions of this important and yet underexplored determinant of health. I argue that the prevailing conceptualization of loneliness in health research, with a general emphasis on social prescribing, obscures other dimensions of loneliness beyond social connectedness that also need to be accounted for in its definition. Drawing on narrative approaches to health and care and taking as a case study Santiago Lorenzo’s Spanish novel Los asquerosos (2018), the article gestures toward a more political—rather than exclusively subjective and relational—reading of loneliness. It shows how the novel’s exploration of loneliness as an ambivalent experience of tranquility and disaffection questions whether there is any direct causation between loneliness and aloneness or social isolation, presenting loneliness not so much as a problem or a social pain in need of curing, but as a symptom of a larger structural crisis. The article also reflects on the ability of literary narratives to illuminate, discuss, and ultimately challenge the underlying dynamics of loneliness, raising questions about how we understand these narratives and the type of agency we attribute to them.
Cooperative learning before and during the COVID-19 pandemic: the predictive power of teacher expertise
Authors: Ries Nora , Wolf Kristin , Baier-Mosch Franziska , Roth Annika , Kunter Mareike 
Published: June 2024

AbstractThe present study aimed to investigate the relative predictive power of teachers’ beliefs about cooperative learning, their participation in professional development courses on cooperative learning, emotional exhaustion, and the frequency of cooperative learning implementation before the outbreak of the COVID-19 pandemic for the frequency of cooperative learning implementation during the COVID-19 pandemic. Two hundred and sixty-eight German teachers participated in an online survey in the spring of 2021 (retrospective self-reports, cross-sectional). The study revealed three key findings: first, teachers used cooperative learning significantly less often in face-to-face teaching during the pandemic than before the pandemic. Second, teachers’ positive beliefs about cooperative learning and their participation in professional development courses predicted the frequency of cooperative learning implementation before the pandemic. But, third, neither of these aspects of teachers’ expertise predicted the implementation of cooperative learning in face-to-face teaching during the pandemic. Only the frequency of implementation before the pandemic predicted implementation during the pandemic which may point to the value of routine in times of crisis. Our findings suggest that the predictive power of aspects of teacher expertise (such as their beliefs) varies with contextual conditions.
Same and different are additive presupposition triggers
Authors: Mikkelsen Line , Hardt Daniel 
Published: June 2024

AbstractWe propose an account of interpretive effects involving same and different, relying on two claims: the first is that same and different are able to take scope, and the second is that they are presuppositional. On this account, same and different are decomposed into two parts: an additive operator TOO and a (non-)identity predicate. We argue that this account provides a more parsimonious account of well-known properties of same and different, such as the distinction between internal and external readings, as well as the parallelism effects discovered by Hardt and Mikkelsen (Linguist Philos 38:289–314, 2015). We also present a solution to a previously unexplained puzzle involving comparatives.
Growing on patch boundaries of heterogeneous soils promotes root growth but not the total biomass of naturalized alien and native plants
Authors: Wei Guan-Wen , van Kleunen Mark 
Published: June 2024

Abstract
Background and aims
Soil heterogeneity has been found to promote plant invasion, as many naturalized alien species benefit more from nutrient-rich patches than native species do. However, it remains unclear whether naturalized alien species also benefit more from growing on patch boundaries than from growing in the patch centres of heterogeneous soils.

Methods
We experimentally tested whether the planting position changes the effect of soil heterogeneity on the growth of native and naturalized alien plants. We created pots with heterogeneous soils consisting of patches of sand, peat-based potting substrate (peat) and a 1:1 sand-peat mixture, and homogenous soils consisting of the mixture only. In each pot, we planted three plants of one of five native or five naturalized alien species, either on the boundaries between or in the centres of the soil patches.

Results
Individual plant growth increased when the plant had direct access to the peat patches. This positive effect of peat on plant growth tended to be more pronounced for the naturalized alien species than for the natives. The populations of naturalized alien species also tended to benefit more, in terms of total biomass, from soil heterogeneity than the natives did. Belowground biomass of the plant populations, was not significantly affected by soil heterogeneity, but was larger when plants grew on the patch boundaries instead of in the centres.

Conclusion
Our study suggests that soil heterogeneity promotes the growth of naturalized alien plants over native plants. Moreover, being positioned on the boundary of strongly contrasting patches might provide benefits to plant growth.
Evaluating Effects of Multilevel Interventions on Disparity in Health and Healthcare Decisions
Authors: Jackson John W. , Hsu Yea-Jen , Zalla Lauren C. , Carson Kathryn A. , Marsteller Jill A. , Cooper Lisa A. , Investigators the RICH LIFE Project 
Published: June 2024

AbstractIn this paper, we introduce an analytic approach for assessing effects of multilevel interventions on disparity in health outcomes and health-related decision outcomes (i.e., a treatment decision made by a healthcare provider). We outline common challenges that are encountered in interventional health disparity research, including issues of effect scale and interpretation, choice of covariates for adjustment and its impact on effect magnitude, and the methodological challenges involved with studying decision-based outcomes. To address these challenges, we introduce total effects of interventions on disparity for the entire sample and the treated sample, and corresponding direct effects that are relevant for decision-based outcomes. We provide weighting and g-computation estimators in the presence of study attrition and sketch a simulation-based procedure for sample size determinations based on precision (e.g., confidence interval width). We validate our proposed methods through a brief simulation study and apply our approach to evaluate the RICH LIFE intervention, a multilevel healthcare intervention designed to reduce racial and ethnic disparities in hypertension control.
Dual-Earner Couples’ Gender Role Attitudes and Their Parental Leave Decisions: A Longitudinal Study of Partner Influences
Authors: Stertz Anna M. , Wiese Bettina S. 
Published: June 2024

AbstractThis study examines how men and women in heterosexual partnerships influence each other’s parental leave decisions through their gender role attitudes. We differentiate between attitudes toward women’s parental role, women’s worker role, men’s parental role, and men’s worker role, and consider the role of traditional gender ideology denoting an attitude of negatively evaluating mothers’ employment when children are young. We investigated communal traits as a potential moderator to better understand partner effects, i.e., one partner’s role attitudes affecting the other partner’s leave decision. We analyzed longitudinal data from N = 365 heterosexual, mainly German dual-earner couples, collected between pregnancy and about 18 months after the birth of their first child, using the actor-partner interdependence model. We examined mothers’ and fathers’ attitudes toward all five types of gender roles and found that both mothers and fathers were influenced in their leave decisions by their partners’ attitudes toward early maternal employment. Mothers whose partners were more traditional in this regard took longer leaves; fathers whose partners were more traditional took shorter leaves. Fathers’ leave length was also influenced by their partners’ attitudes toward men’s worker role, with more traditional attitudes resulting in shorter leaves. The latter relationship was moderated by fathers’ communal traits, such that more communal fathers were more strongly influenced by their female partners’ attitudes. Overall, this research extends the understanding of mutual influences and decision-making dynamics in dual-earner couples in the early family phase.
Egalitarian gender role attitudes give girls the edge: Exploring the role of students’ gender role attitudes in reading and math
Authors: Taraszow Tatjana , Gentrup Sarah , Heppt Birgit 
Published: June 2024

AbstractGender differences in reading and math have been reported for many years. Girls outperform boys in reading (representing a school domain stereotyped as female); boys often perform slightly better in math (a stereotypical male domain). Research has so far investigated the contribution of domain-specific academic self-concepts and interests as well as gender stereotypes to these gender differences. Students’ gender role attitudes (GRAs) and their relation with gender disparities in school performance, however, have been studied little. This study examines if students’ GRAs contribute to explaining boys’ higher math achievement and girls’ higher reading achievement. Using PISA-2009 data from Germany, the sample included 9,460 grade nine students (49.70% girls; Mage = 15.61 years). Regression analyses revealed that egalitarian GRAs are beneficial for all students. Still more so for girls, egalitarian GRAs help girls perform particularly well in reading and compensate for possible disadvantages in math. In reading, girls with egalitarian GRAs reached higher performance scores than boys with egalitarian GRAs. In math, girls with egalitarian GRAs scored nearly as high as boys with egalitarian GRAs. Boys also benefited from egalitarian GRAs, although not as much as girls. Although gender disparities in reading and math achievement were explained only partly by students’ GRAs, supporting boys and girls in endorsing egalitarian GRAs is worthwhile as they may help to increase societal gender equality more broadly.
Linguistics-based dialogue simulations to evaluate argumentative conversational recommender systems
Authors: Di Bratto Martina , Origlia Antonio , Di Maro Maria , Mennella Sabrina 
Published: June 2024

AbstractConversational recommender systems aim at recommending the most relevant information for users based on textual or spoken dialogues, through which users can communicate their preferences to the system more efficiently. Argumentative conversational recommender systems represent a kind of deliberation dialogue in which participants share their specific beliefs in the respective representations of the common ground, to act towards a common goal. The goal of such systems is to present appropriate supporting arguments to their recommendations to show the interlocutor that a specific item corresponds to their manifested interests. Here, we present a cross-disciplinary argumentation-based conversational recommender model based on cognitive pragmatics. We also present a dialogue simulator to investigate the quality of the theoretical background. We produced a set of synthetic dialogues based on a computational model implementing the linguistic theory and we collected human evaluations about the plausibility and efficiency of these dialogues. Our results show that the synthetic dialogues obtain high scores concerning their naturalness and the selection of the supporting arguments.
Domain Generalization via Ensemble Stacking for Face Presentation Attack Detection
Authors: Muhammad Usman , Laaksonen Jorma , Romaissa Beddiar Djamila , Oussalah Mourad 
Published: June 2024

AbstractFace presentation attack detection (PAD) plays a pivotal role in securing face recognition systems against spoofing attacks. Although great progress has been made in designing face PAD methods, developing a model that can generalize well to unseen test domains remains a significant challenge. Moreover, due to the different types of spoofing attacks, creating a dataset with a sufficient number of samples for training deep neural networks is a laborious task. This work proposes a comprehensive solution that combines synthetic data generation and deep ensemble learning to enhance the generalization capabilities of face PAD. Specifically, synthetic data is generated by blending a static image with spatiotemporal-encoded images using alpha composition and video distillation. In this way, we simulate motion blur with varying alpha values, thereby generating diverse subsets of synthetic data that contribute to a more enriched training set. Furthermore, multiple base models are trained on each subset of synthetic data using stacked ensemble learning. This allows the models to learn complementary features and representations from different synthetic subsets. The meta-features generated by the base models are used as input for a new model called the meta-model. The latter combines the predictions from the base models, leveraging their complementary information to better handle unseen target domains and enhance overall performance. Experimental results from seven datasets—WMCA, CASIA-SURF, OULU-NPU, CASIA-MFSD, Replay-Attack, MSU-MFSD, and SiW-Mv2—highlight the potential to enhance presentation attack detection by using large-scale synthetic data and a stacking-based ensemble approach.
In their Ideal Future, Are Preservice Teachers Willing to Integrate Technology in Their Teaching and why?
Authors: Duan Suzhen , Exter Marisa , Li Qing 
Published: June 2024

AbstractPreservice teachers’ beliefs regarding technology integration significantly influence their future teaching practices. This qualitative study examines the beliefs and intentions of 51 preservice teachers within the context of technology integration in their envisioned teaching scenarios. Thematic analysis identified three primary themes. Firstly, participants expressed their intentions to integrate technology into teaching, with 74% exhibiting a high intention, 22% moderate, and 4% low. Secondly, value beliefs encompassed positive perceptions supported by interest and usefulness, including eight roles of technology (e.g., facilitators, quality enhancers) and four concerns (e.g., equity, safety). Negative beliefs such as distraction were also identified. Thirdly, pedagogical beliefs varied, with 49% holding student-centered views, 37% being teacher-centered, and 14% balanced perspectives. Crosstab analysis explored relationships between technology integration intention levels, value beliefs, and pedagogical beliefs. These findings offer insights into preservice teachers’ beliefs on technology integration, informing teacher education programs and strategies to enhance technology integration in classrooms.
A Systematic Review of Vegetation Indices for Potato Growth Monitoring and Tuber Yield Prediction from Remote Sensing
Authors: Mukiibi A. , Machakaire A. T. B. , Franke A. C. , Steyn J. M. 
Published: June 2024

AbstractCrop intelligence and yield prediction of potato (Solanum tuberosum L.) are important to farmers and the processing industry. Remote sensing can provide timely information on growth status and accurate yield predictions during the growing season. However, there is limited documentation on the most suitable vegetation indices (VIs) and optimal growth stages for acquiring remote sensing imagery of potato. To address this knowledge gap, a systematic review was conducted. Original scientific manuscripts published between 2000 and 2022 were identified using various databases. The findings indicate that satellite imagery is the most widely used source of remote sensing data for tuber yield prediction, whereas unmanned aerial vehicle systems (UAVs) and handheld sensors are more frequently applied for growth monitoring. The normalized difference vegetation index (NDVI), red-edge chlorophyll index (CIred-edge), green chlorophyll index (CIgreen), and optimized soil-adjusted vegetation index (OSAVI) are the most frequently used VIs for the growth and yield estimation of potato. The tuber initiation stage was found to be the most appropriate stage for remote sensing data acquisition. This review will assist potato farmers, agronomists and researchers in selecting the most suitable VIs for monitoring specific growth variables and selecting the optimal timing during the growing season to obtain remote sensing images.
Interactive analysis of the results of NET-VISA, a Bayesian inference system, in CTBTO’s International Data Centre bulletin production
Authors: Ali Sherif Mohamed , Qorbani Ehsan , Le Bras Ronan , Rambolamanana Gérard 
Published: June 2024

Abstract
The Global Association model is a crucial tool in seismic data analysis at the International Data Centre (IDC) of the Comprehensive Nuclear-Test-Ban Treaty Organization. However, it faces challenges due to its limitations in accurately associating seismic events on a global scale. Over the past years, attempts have been undertaken to tackle these issues by introducing the Network Processing Vertically Integrated Seismic Analysis (NET-VISA) algorithm, specifically designed to enhance seismic event association across the globe. NET-VISA uses a machine learning Bayesian approach to solve the automatic association problem. NET-VISA has been implemented in operation as an additional automatic event scanner tool since January 2018. In this study, we assess the effect of the NET-VISA automatic scanner on the IDC output REB and LEB bulletins. We used three distinct time periods to evaluate the NET-VISA performance. The results show a 4.6% increase in the number of LEB events after including the NET-VISA scanner in operation, with an average of 7 additional events per day, and an increase of 17.90% in the number of scanned events. A comparison between the different bulletins in distinct periods shows NET-VISA is beneficial to build more valid events, providing opportunities to improve nuclear-test-ban monitoring. However, NET-VISA exhibits slightly reduced performance for events occurring at depths exceeding 300 km.
Was ist der Gegenstand der Fiskalsoziologie? Ein Plädoyer für die Kategorie des Steuerstaats
Authors: Döpking Lars 
Published: June 2024

ZusammenfassungDie makroskopische Fiskalsoziologie plagt ein Kategorienproblem: Sie lässt offen, ob es sich bei der Einheit ihres Vergleichs um Welten, Familien, Systeme, Regime oder Strukturen von Besteuerung handelt. Diese kategoriale Unbestimmtheit verweist auf theoretische Probleme. Denn indem die Literatur ihr Erkenntnisobjekt – Steuern – primär als Ausdruck von Ideen, Mentalitäten, innenpolitischen Konflikten oder ökonomischen Faktoren begreift, übergeht sie ihre soziologische Qualität als fiskalische Beziehung. Fasst man diese dagegen ins Auge, lassen sich steuerliche Gebilde nicht nur adäquater beschreiben. Vielmehr sorgt dies auch dafür, dass Steuern selbst eine erklärende Rolle zukommt: Welche fiskalischen Beziehungen wie gestiftet werden, zeitigt in dieser Perspektive je unterschiedliche politische und soziale Effekte. Um dies einzuholen schlägt der Beitrag vor, die Kategorie des Steuerstaats zu revitalisieren. In Abgrenzung zu überlieferten Ansätzen wird darunter das Zentrum eines Netzes fiskalischer Beziehungen verstanden, in denen die Geltung und der Inhalt von Steuerordnungen verhandelt werden und deren Wandel sich in vier Prozessbegriffen – Professionalisierung, Durchstaatlichung, Politisierung, Geofiskalisierung – abbilden lässt. Die Vorteile des Begriffs werden anhand eines kurzen Vergleichs des italienischen und deutschen Steuerstaats demonstriert, bevor abschließend für eine komparative Steuerstaatsforschung plädiert wird.
Honey bee protein and lipid nutrition in avocado and blueberry agroecosystems with conventional and organic management
Authors: Diaz Tsiri , del-Val Ek , Vega Ernesto , Contreras-Garduño Jorge , Larsen John 
Published: June 2024

AbstractHoney bees play a crucial role in agricultural production. Farmers rely on commercial bee pollination to obtain optimal yields, and beekeepers on the income from pollination fees. However, commercial pollination confronts honey bees with pests and pathogens, pesticides, and low-quality food, which in many cases do not fulfill the minimal nutritional requirements of honey bees. In this work, we evaluated honey bee nutrition in avocado and blueberry plantations under organic and conventional management, by assessing the nutritional quality of pollen and bee bread based on their protein, fatty acid, and microbial content, and by analyzing honey bee health through the examination of abdominal fatty acid profiles and head protein content. Low protein content in honey bee hemolymph was evident under conventional management. Regardless of management, avocado pollen showed higher protein levels, which were translated into higher honey bee head protein levels being 60% higher in avocado under conventional management when compared to blueberry under the same management. However, higher protein levels in avocado pollen were also translated into lower amounts of fatty acids in bee bread and in honey bee fat. In particular, the total amount of fatty acids in bee bread from conventional management was 50% lower than that from organic management. Additionally, the saturated fatty acids in conventional blueberries were lower compared to that of organic blueberries. Crop system and bee bread microbial composition altered the plant-honey bee nutrition cascades transforming pollen to bee bread with increased amount of saturated, unsaturated, and total fatty acids. In conclusion, both crop species and crop systems determine honey bee nutrition through alterations in the pollen transformation, affecting protein and fatty acid assimilation.