bluuebunny/crossref_metadata_2025_split huggingface dataset:
Appearance Satisfaction Among Adolescent Girls in Australia, China, India, and Iran: The Role of Perceived Actual-Ideal Discrepancies in Facial and Bodily Attributes
Authors: Kakar Vani , Fardouly Jasmine , Rapee Ronald M. , Guo Mingchun , Arman Soroor , Niazi Elham 
Published: June 2023

AbstractThe current study examined the associations between perceived actual-ideal discrepancies in facial and bodily attributes and adolescent girls’ appearance satisfaction and whether these relationships were moderated by the importance associated with the attributes and/or the country of the participants. A multilingual survey was completed by 900 girls aged 12–18 years old living in Australia, China, India, and Iran. Girls in India and Iran were most satisfied with their appearance followed by girls in China and Australia. Iranian girls had the highest perceived actual-ideal discrepancies in facial and bodily attributes. Chinese and Indian girls perceived their facial attributes to be more important to their overall sense of appearance than their bodily attributes, whereas Australian and Iranian girls valued them equally. Higher perceived actual-ideal facial discrepancies were related to lower appearance satisfaction only for Iranian girls and higher perceived bodily discrepancies were linked to lower appearance satisfaction only for Australian girls. The importance associated with physical attributes and/or the country of participants did not moderate the relationship between perceived discrepancies and appearance satisfaction for facial or bodily attributes. Findings underscore the critical role of cultural nuances in understanding body image among adolescent girls and determinants of appearance satisfaction.
Mechanisms involved in alien maples (Acer sp.) invasion process in the Central Europe. Testing hypotheses associated with species fitness
Authors: Ferus Peter 
Published: June 2023

AbstractMaples (Acer sp.) are trees/shrubs of extraordinary aesthetic value, what favours them for wide utilisation in urban greenery. However, some of the non-native species became invasive in the new range and represent a threat to natural ecosystems. Therefore, after the definition of their frequency and planting history in Slovak cities and reinvestigation of ecological status, based on analysis of growth, reproduction biology, fruit dispersal, phenotypic plasticity and allelopathic potential, invasion hypotheses related to the species fitness were tested in non-invasive alien species, in respect of invasive box elder (A. negundo L.). Parks and residential areas from the socialistic era were dominated by silver maple (A. saccharinum L.) and private gardens by palm maple (A. palmatum Thunb.) cultivars. A shift to ´locally naturalised´ was confirmed in the former, and palm maple was taken into consideration in the alien flora list (as casual). The fastest growth was found in silver maple and box elder. The latter showed also extraordinary reproduction earliness, largest fruit production, flight range and seed viability. Specific leaf area mostly decreased in box elder towards summer, indicating its large phenotypic plasticity. However, the largest allelopathic effect was observed in silver maple. Hence, ´limiting similarity hypothesis´, ´ideal weed hypothesis´, ´propagule pressure hypothesis´ and ´phenotypic plasticity hypothesis´ were essential for box elder invasion success. On the other hand, ´ideal weed hypothesis´ and ´novel weapon hypothesis´ seem to be crucial for silver maple naturalisation. Palm maple failed in all studied aspects, indicating colonisation stage of the invasion process.
Transformer-Based Context Condensation for Boosting Feature Pyramids in Object Detection
Authors: Chen Zhe , Zhang Jing , Xu Yufei , Tao Dacheng 
Published: June 2023

AbstractCurrent object detectors typically have a feature pyramid (FP) module for multi-level feature fusion (MFF) which aims to mitigate the gap between features from different levels and form a comprehensive object representation to achieve better detection performance. However, they usually require heavy cross-level connections or iterative refinement to obtain better MFF result, making them complicated in structure and inefficient in computation. To address these issues, we propose a novel and efficient context modeling mechanism that can help existing FPs deliver better MFF results while reducing the computational costs effectively. In particular, we introduce a novel insight that comprehensive contexts can be decomposed and condensed into two types of representations for higher efficiency. The two representations include a locally concentrated representation and a globally summarized representation, where the former focuses on extracting context cues from nearby areas while the latter extracts general contextual representations of the whole image scene as global context cues. By collecting the condensed contexts, we employ a Transformer decoder to investigate the relations between them and each local feature from the FP and then refine the MFF results accordingly. As a result, we obtain a simple and light-weight Transformer-based Context Condensation (TCC) module, which can boost various FPs and lower their computational costs simultaneously. Extensive experimental results on the challenging MS COCO dataset show that TCC is compatible to four representative FPs and consistently improves their detection accuracy by up to 7.8% in terms of average precision and reduce their complexities by up to around 20% in terms of GFLOPs, helping them achieve state-of-the-art performance more efficiently. Code will be released at https://github.com/zhechen/TCC.
Examining the Pathways from General Trust Through Social Connectedness to Subjective Wellbeing
Authors: Adedeji Adekunle , Olawa Babatola Dominic , Hanft-Robert Saskia , Olonisakin Tosin Tunrayo , Akintunde Tosin Yinka , Buchcik Johanna , Boehnke Klaus 
Published: June 2023

AbstractThe broad conceptualisation of wellbeing has allowed researchers to establish subjective wellbeing as a valid indicator of social development. However, changing social patterns, norms, and values suggest changes in how social determinants may predict subjective wellbeing. The current analysis tests a serial mediation hypothesis in which social participation and social resources mediate the effect of general trust on subjective wellbeing.Data from 8725 participants were pooled from the German part of the European Social Survey (ESS) Wave 10. Structural models were estimated to access the path from general trust to subjective wellbeing (SWB). Three separate mediation analyses were performed to test (1) the indirect effect of general trust on SWB through social participation, (2) through social resources and (3) through social participation and social resources. A full-mediation model reveals the direct and indirect paths predicting SWB through general trust, social participation, and social resources. Gender, age, education, and household size were included as control variables.The full-mediation model suggests significant results for direct paths from general trust to social participation, social resources, and SWB. Direct paths from social participation to social resources and SWB were also significant. However, the path from social resources to SWB became non-significant.Results highlight general trust as a critical predictor of SWB. The finding that social participation is significant while social resources are not significant in a mediation model suggests that social participation directly affects wellbeing, independent of the effect of social resources. This highlights the importance of social participation in promoting wellbeing.
Trocar localisation for robot-assisted vitreoretinal surgery
Authors: Birch Jeremy , Da Cruz Lyndon , Rhode Kawal , Bergeles Christos 
Published: June 2023

Abstract
Purpose
Robot-assisted vitreoretinal surgery provides precise and consistent operations on the back of the eye. To perform this safely, knowledge of the surgical instrument’s remote centre of motion (RCM) and the location of the insertion point into the eye (trocar) is required. This enables the robot to align both positions to pivot the instrument about the trocar, thus preventing any damaging lateral forces from being exerted.

Methods
Building on a system developed in previous work, this study presents a trocar localisation method that uses a micro-camera mounted on a vitreoretinal surgical forceps, to track two ArUco markers attached on either side of a trocar. The trocar position is the estimated midpoint between the markers.

Results
Experimental evaluation of the trocar localisation was conducted. Results showed an RMSE of 1.82 mm for the localisation of the markers and an RMSE of 1.24 mm for the trocar localisation.

Conclusions
The proposed camera-based trocar localisation presents reasonable consistency and accuracy and shows improved results compared to other current methods. Optimum accuracy for this application would necessitate a 1.4 mm absolute error margin, which corresponds to the trocar’s radius. The trocar localisation results are successfully found within this margin, yet the marker localisation would require further refinement to ensure consistency of localisation within the error margin. Further work will refine these position estimates and ensure the error stays consistently within this boundary.
Transforming universities
Authors: Loorbach Derk A. , Wittmayer Julia 
Published: June 2023

AbstractThe dominant model of universities, especially in the social sciences, is often based upon academic disciplines, objectivity, and a linear knowledge-transfer model. It facilitates competition between academics, educating students for specific professions from an objective, descriptive, and neutral position. This paper argues that this institutional model of universities is inadequate to contribute effectively to societal transitions towards just and sustainable futures. Taking the Erasmus University Rotterdam (EUR), the Netherlands, as an example, this paper illustrates the problems with the dominant (twentieth century) model of universities in the social sciences and explores what strategies universities can develop to transform. It introduces the notions of transformative research and transformative education: transdisciplinary, collaborative, and action-oriented academic work that explicitly aims to support societal transitions. It presents the design impact transition (DIT) platform as an ‘institutional experiment’ at the EUR and a concerted and strategic effort that lays bare current lock-ins of the dominant university model and the kind of institutional work needed to transform universities.
Numerical Approaches to Pedestrian Impact Simulation with Human Body Models: A Review
Authors: Wdowicz Daniel , Ptak Mariusz 
Published: June 2023

AbstractThe review paper discusses numerical human body models of pedestrians. The background of current trends in physical and mathematical pedestrian research is presented. Development, validation and areas of application of pedestrian body models are described. The differences between multibody models and finite element models are presented. Accident-based and experimental approaches to validation of the models are discussed. As a novelty, this paper presents an overview of multibody models used in forensic investigations, discusses their usefulness, and differences between their design and the design of more advanced multibody and finite element models. Finally, the most recent trends in human body modelling are discussed, including open-source approaches to model distribution and replacement of physical tests by digital simulations.
Irish general practitioner (GP) perspectives on impact of direct access radiology on patient care in the community: results from a mixed-methods study
Authors: O’Callaghan Michael Edmund , Fawsitt Ronan , Gao Jiaran , Broughan John , McCombe Geoff , Phelan Amy , Quinlan Diarmuid , Collins Claire , Stanley Fintan , Cullen Walter 
Published: June 2023

Abstract
Background
Since winter 2020/21, general practitioners (GPs) in the Republic of Ireland (RoI) have been granted access to diagnostic imaging studies on a new publicly funded pathway, expediting access to services previously obtained via hospital-based doctors.

Aims
Outline GP perspectives on imaging studies obtained via the new “GP Access to Community Diagnostics” initiative.

Methods
A mixed-methods design was employed. Referrals over the first six months of 2019 and 2021 were collated by a private imaging provider, and a randomly selected subset of 2021 studies (maximum 30 referrals per GP) was returned to participating GPs to provide detail on the impact on each patient’s care. In-depth qualitative interviews were also conducted with participating GPs.

Results
Eleven GPs supplied detailed information on 81 studies organized through the new initiative. GPs reported that the initiative had led to a large proportion of cases being managed solely in general practice, with an 81% reduction in referrals to acute hospital settings and a 58% reduction in referrals to secondary care clinics. GPs felt imaging studies improved patient care in 86% of cases and increased GP workload in 58% of cases. GP qualitative interviews revealed four key themes: improved patient care, increased GP workload, reduction in hospital referrals, and opinions on ongoing management of such initiatives, including guidelines.

Conclusions
GPs felt enhancing access to diagnostics improved patient care by expediting diagnosis, decision-making, and treatment and by reducing hospital referrals. GPs were generally positive about the initiative and made some suggestions on future management of the initiative.
Le projet husserlien de réforme de la logique et ses prolongements chez Gian-Carlo Rota
Authors: Lobo Carlos 
Published: June 2023

Résumé
Gian-Carlo Rota est l’un des rares grands mathématiciens de la deuxième moitié du xxe siècle dont l’intérêt pour la logique formelle soit aussi ouvertement déclaré et ne se soit jamais démenti, depuis sa formation d’étudiant à Princeton jusqu’à ses derniers écrits. Plus exceptionnel encore, il fait partie des rares lecteurs assidus de Husserl à s’être aperçu que la phé-noménologie poursuivait un projet de réforme de la logique formelle. L’article propose d’attester l’existence d’un tel projet chez Husserl ; d’en examiner la réappropriation et les prolongements chez Rota.
La Fundierung selon Gian-Carlo Rota. Une option dynamique pour la phénoménologie
Authors: Lanciani Albino Attilio 
Published: June 2023

Résumé
Le concept de Fundierung est introduit dans la IIIe Recherche Logique de Husserl et, malgré sa fonctionnalité apparente, il n’est pratiquement plus utilisé dans la suite de son oeuvre. En revanche, ce concept manifeste une puissance latente que le travail de Gian-Carlo Rota permet d’exalter. Entre les mains du mathématicienphilosophe, la Fundierung devient l’un des piliers fondamentaux d’une logique phénoménologique encore in fieri. Une logique qui voudrait prendre ses distances tant avec la « logique philosophique » traditionnelle qu’avec la « logique mathématique » qui s’est désormais imposée en tant que standard de la rigueur et fascine souvent les philosophes. Cet article se propose de décrire comment l’interprétation de Rota enrichit le concept originel de Husserl et de quelle manière sa démarche ouvre la possibilité d’une évolution.
« Quels sont vos grands auteurs ? » Réflexions sur l’écriture et le style en mathématique
Authors: André Yves 
Published: June 2023

Résumé
Ce texte est la transposition d’un exposé de l’auteur à l’IRCAM dans le cadre du séminaire MaMuPhi où dialoguent mathématiciens, musiciens (compositeurs, interprètes, théoriciens) et philosophes. Ni glose sur les théories du style en mathématique, ni prolégomènes à une stylistique future, encore moins galerie de portraits d’auteurs, il s’agit d’un essai plutôt que d’une étude : un court essai, catalysé en partie par les caustiques « décalogues » de Gian-Carlo Rota, où l’on évalue la place de l’auteur et essaie de dégager les enjeux, essentiels plutôt que décoratifs, des questions d’écriture et de style dans la mathématique d’aujourd’hui.
Artificial Intelligence for Cognitive Health Assessment: State-of-the-Art, Open Challenges and Future Directions
Authors: Javed Abdul Rehman , Saadia Ayesha , Mughal Huma , Gadekallu Thippa Reddy , Rizwan Muhammad , Maddikunta Praveen Kumar Reddy , Mahmud Mufti , Liyanage Madhusanka , Hussain Amir 
Published: June 2023

AbstractThe subjectivity and inaccuracy of in-clinic Cognitive Health Assessments (CHA) have led many researchers to explore ways to automate the process to make it more objective and to facilitate the needs of the healthcare industry. Artificial Intelligence (AI) and machine learning (ML) have emerged as the most promising approaches to automate the CHA process. In this paper, we explore the background of CHA and delve into the extensive research recently undertaken in this domain to provide a comprehensive survey of the state-of-the-art. In particular, a careful selection of significant works published in the literature is reviewed to elaborate a range of enabling technologies and AI/ML techniques used for CHA, including conventional supervised and unsupervised machine learning, deep learning, reinforcement learning, natural language processing, and image processing techniques. Furthermore, we provide an overview of various means of data acquisition and the benchmark datasets. Finally, we discuss open issues and challenges in using AI and ML for CHA along with some possible solutions. In summary, this paper presents CHA tools, lists various data acquisition methods for CHA, provides technological advancements, presents the usage of AI for CHA, and open issues, challenges in the CHA domain. We hope this first-of-its-kind survey paper will significantly contribute to identifying research gaps in the complex and rapidly evolving interdisciplinary mental health field.
Isolation and Characterization of Lactic Acid Bacteria With Probiotic Attributes From Different Parts of the Gastrointestinal Tract of Free-living Wild Boars in Hungary
Authors: Keresztény Tibor , Libisch Balázs , Orbe Stephanya Corral , Nagy Tibor , Kerényi Zoltán , Kocsis Róbert , Posta Katalin , Papp Péter P. , Olasz Ferenc 
Published: June 2023

AbstractLactic acid bacteria (LAB) in the microbiota play an important role in human and animal health and, when used as probiotics, can contribute to an increased growth performance in livestock management. Animals living in their native habitat can serve as natural sources of microorganisms, so isolation of LAB strains from wild boars could provide the opportunity to develop effective probiotics to improve production in swine industry. In this study, the probiotic potential of 56 LAB isolates, originated from the ileum, colon, caecum and faeces of 5 wild boars, were assessed in vitro in details. Their taxonomic identity at species level and their antibacterial activity against four representative strains of potentially pathogenic bacteria were determined. The ability to tolerate low pH and bile salt, antibiotic susceptibility, bile salt hydrolase activity and lack of hemolysis were tested. Draft genome sequences of ten Limosilactobacillus mucosae and three Leuconostoc suionicum strains were determined. Bioinformatic analysis excluded the presence of any known acquired antibiotic resistance genes. Three genes, encoding mesentericin B105 and two different bacteriocin-IIc class proteins, as well as two genes with possible involvement in mesentericin secretion (mesE) and transport (mesD) were identified in two L. suionicum strains. Lam29 protein, a component of an ABC transporter with proved function as mucin- and epithelial cell-adhesion factor, and a bile salt hydrolase gene were found in all ten L. mucosae genomes. Comprehensive reconsideration of all data helps to select candidate strains to assess their probiotic potential further in animal experiments.
Same-Sex Parenting in Italy: An Affective and Developmental Psychocultural Analysis
Authors: Carbone Agostino , Gennaro Alessandro , Valerio Paolo , Scandurra Cristiano 
Published: June 2023

Abstract
Introduction
The study focuses on the issue of same-sex parenting in Italy, one of the few Western countries where it is not legally permitted. The aim of the research is to collect the experience of parents who have had a child abroad through reproduction and/or gestation procedures not ratified and recognized by the national legal system.

Methods
The research involved 32 same-sex parents, specifically 22 mothers (Mage = 41.3; SD = 6.5) and 10 fathers (Mage = 43.8; SD = 7.4) of at least one child. Data were collected in the first part of 2022, using a narrative interview designed to collect parents’ representation of same-sex parenting in Italy. The interviews were analyzed using Emotional Textual Analysis, a text mining methodology for tracing the emotional dimensions of text.

Results
The factorial analysis generated four thematic clusters (1—loneliness; 2—denied rights; 3—starting a family; and 4—future of LGBTQ+ liberation process) and two factors (1—minority stress; 2—conservatorism).

Conclusions
The results highlight a strong cultural backwardness in Italy on LGBTQ+ parental rights. Participants experience the desire and the practice of being parents within a cultural framework that, in the absence of legislative norms that protect these forms of generativity, emphasizes their sense of difference and isolation.

Policy Implications
Future policies should be concerned with the need for cultural and legislative advances, supported by progressive movements and associations, as well as the development of psychological-clinical settings capable of supporting an emotional position in the parents based on trust about the context and the future.
Burnout im Homeoffice: Auswirkungen von Arbeitsanforderungen und Arbeitsressourcen im Homeoffice auf Burnout und Schlafqualität
Authors: Bogodistov Yevgen , Moormann Jürgen , Schweigkofler Mirjam 
Published: June 2023

ZusammenfassungDie Zahl der Abwesenheiten von Mitarbeitenden aufgrund von Burnout steigt mit jedem Jahr weiter an. Gleichzeitig hat sich aufgrund der Corona-Pandemie der Trend zum Homeoffice als neue Arbeitsform massiv verstärkt. Für Unternehmen entsteht daraus die Notwendigkeit, ihre Mitarbeitenden darin zu unterstützen, mit diesen Veränderungen umzugehen. In dem vorliegenden Beitrag werden die Auswirkungen von Arbeitsanforderungen (Job Demands) und Arbeitsressourcen (Job Resources) im Homeoffice auf Burnout und Schlafqualität untersucht. Die empirischen Ergebnisse, die mittels einer Online-Umfrage erhoben wurden, zeigen, dass die Arbeitsanforderungen zum Auftreten von persönlichem und arbeitsbezogenem Burnout beitragen, während die Arbeitsressourcen keinen Effekt auf die Linderung von Burnout haben. Die Studie zeigt zudem, dass ein arbeitsbezogener Burnout das Risiko eines persönlichen Burnouts erhöht. Persönlicher Burnout erhöht die Schlaflosigkeit, während arbeitsbezogener Burnout die Schlaflosigkeit nur indirekt beeinflusst. Arbeitsanforderungen und Arbeitsressourcen erhöhen die Schlafprobleme nicht direkt; allerdings verschärfen die Arbeitsanforderungen indirekt (über Burnout) die Schlaflosigkeit. Die in dieser Arbeit gewonnenen Ergebnisse bilden den Grundstein für zukünftige Studien zum Themenbereich Neue Arbeitsformen, Burnout und Schlafqualität.Praktische Relevanz: Die Arbeit im Homeoffice ist inzwischen in vielen Branchen zur Selbstverständlichkeit geworden. In diesem Beitrag wird anhand des Job Demands-Resources Model untersucht, inwiefern sich Arbeitsanforderungen und Arbeitsressourcen im Homeoffice-Bereich auf Burnout und Schlafqualität auswirken.