bluuebunny/crossref_metadata_2025_split huggingface dataset:
Virtual thoracoscopic imaging for accurate pulmonary nodule localization: clinical experience
Authors: Kadomatsu Yuka , Nakao Megumi , Okado Shoji , Ueno Harushi , Kato Taketo , Nakamura Shota , Chen-Yoshikawa Toyofumi Fengshi 
Published: October 2024

AbstractThe increasing detection of small pulmonary nodules on computed tomography (CT) warrants simple and effective nodule localization methods. We describe our clinical experience using an experimental computer that displays virtual thoracoscopic images. This device constructs three-dimensional images from preoperative CT scans and simulates the deflated lung parenchyma in the lateral decubitus position. Five patients underwent lung resection using this technology. The device provided images that closely resembled actual thoracoscopic images in all cases. This method addresses the limitations of other localization techniques such as allergic reactions and mechanical marker-related complications. The method only requires preoperative CT images, and the process is semi-automatically performed by specifying the nodule location, thoracoscopic camera insertion site, and camera angle. This study is still in the preliminary phase and has several limitations. However, this method has the potential to accurately predict nodule locations and eliminate the many risks associated with other techniques.
Investigating the Effect of Blurring and Focusing Current in Cochlear Implant Users with the Panoramic ECAP Method
Authors: Garcia Charlotte , Morse-Fortier Charlotte , Guérit François , Hislop Scott , Goehring Tobias , Carlyon Robert P. , Arenberg Julie G. 
Published: October 2024

Abstract
Purpose
For some cochlear implants (CIs), it is possible to focus electrical stimulation by partially returning current from the active electrode to nearby, intra-cochlear electrodes (partial tripolar (pTP) stimulation). Another method achieves the opposite: “blurring” by stimulating multiple electrodes simultaneously. The Panoramic ECAP (PECAP) method provides a platform to investigate their effects in detail by measuring electrically evoked compound action potentials and estimating current spread and neural responsiveness along the length of the CI electrode array. We investigate how sharpening and broadening the electrical current spread are reflected in PECAP estimates.

Methods
PECAP measurements were recorded at most comfortable level in 12 ears of Advanced Bionics CI users. Focused thresholds were also determined. For the electrodes with the highest and lowest focused thresholds, additional PECAP measurements were recorded while stimulating in pTP mode and in “blurred” mode with 3 or 5 adjacent electrodes simultaneously stimulated. Current spread and neural responsiveness were then estimated along the electrode array using PECAP.

Results
PECAP revealed increased current spread estimates across participants for blurred stimulation of the targeted electrodes towards the apex of the cochlea. Variable results for pTP stimulation were found, with two of eight ears appearing to drive a small group-level effect of increased current spread.

Conclusion
When stimulating multiple electrodes simultaneously, PECAP detected localized increases in current spread towards the apex (but not the base) of the cochlea. pTP stimulation showed mixed effects on PECAP current spread estimates. These findings are in line with behavioral speech perception studies and have implications for cochlear implant optimization.
Sweet mama: affiliative interactions are related to the reproductive success of dominant female Alpine marmots (Marmota marmota)
Authors: Matteo Panaccio , von Hardenberg Achaz , Ferrari Caterina 
Published: October 2024

AbstractSociality is a complex phenomenon, able to influence multiple traits of an individual life history. In group-living mammals, sociality is likely to play a major role in the reproductive success of individuals. Here we investigate how sociality traits are associated to reproductive success in female Alpine marmots (Marmota marmota), a highly social and cooperative breeding ground squirrel distributed in the European Alps. We used social network analysis to calculate sociality metrics and hurdle generalized linear mixed models (hurdle GLMMs) to model the relationship between sociality metrics and reproductive success of individually tagged female Alpine marmots. Our results showed that centrality of a reproductive female within her social group and the number of social partners are positively related to reproductive success, while agonistic behavior was not related with reproduction. Our results highlight the importance of affiliative interactions with other group members in cooperative breeders, suggesting that in such systems female fitness could be more related to social cohesion than to costs of agonistic behaviors to maintain dominance status.
The stigma of underperformance in assessment and remediation
Authors: Castanelli Damian J. , Molloy Elizabeth , Bearman Margaret 
Published: October 2024

AbstractThe stigma of underperformance is widely acknowledged but seldom explored. ‘Failure to fail’ is a perennial problem in health professions education, and learner remediation continues to tax supervisors. In this study, we draw on Goffman’s seminal work on stigma to explore supervisors’ accounts of judging performance and managing remediation in specialty anesthesia training in Australia and New Zealand. In doing so, we focus on what Goffman calls a “stigma theory” to explain the supervisors’ reported practices. We performed a secondary analysis of nineteen interviews originally gathered using purposive sampling to explore how assessment decisions were made. We conducted a theory-informed thematic analysis of the supervisors’ accounts to identify signifiers of stigma and underlying structures and beliefs. From both deductive and inductive analysis, we developed themes that demonstrate how the stigma of underperformance influences and is induced by supervisors’ reticence to discuss underperformance, their desire to conceal remediation, and their differential treatment of trainees. We also found that accounts of trainees ‘lacking insight’ resembled stigma-induced stereotyping. We argue from our data that our cultural expectations of perfectionism propagate a stigma that undermines our efforts to remediate underperformance and that our remediation practices inadvertently induce stigma. We suggest that a multifaceted approach using both individual and collective action is necessary to change both culture and practice and encourage the normalisation of remediation.
Taking what you get or Getting what you Need: A Qualitative Study on Experiences with Mental Health and Welfare Services in Long-Term Recovery in First-Episode Psychosis
Authors: Åsbø Gina , Haavind Hanne , Kruse Sindre Hembre , Wold Kristin Fjelnseth , Hegelstad Wenche ten Velden , Romm Kristin Lie , Slade Mike , Ueland Torill , Melle Ingrid , Simonsen Carmen 
Published: October 2024

Abstract
How people in long-term recovery (clinical and personal) in first-episode psychosis (schizophrenia and bipolar spectrum disorders) experience the mental health and welfare services they interact with is not frequently studied but has significant implications. We therefore aimed to explore which aspects of these services people with FEP evaluate as important for their long-term recovery. Twenty participants in clinical and/or personal recovery from two Norwegian long-term follow-up studies after FEP (TOP 10-year and TIPS 20-year) were sampled for this interview-based qualitative study. The research-team included service user experience. A deductive analysis based on personal accounts of recovery generated five service aspects. Few specific types of interventions were reported to promote recovery although medications, psychotherapy and employment support were mentioned. Participants valued services based in collaboration and that focused on their resources rather than limitations. The importance of long-term follow-up with a consistent aim was highlighted, as was the inclusion of caregivers and peers. Welfare services contributed to recovery by supporting basic needs and safety, but some experienced social exclusion when not participating in the labor market. This study is unique in exploring the role of services, including welfare, in long-term FEP recovery from service user perspectives. Participants evaluated that services played a more indirect role in long-term recovery by supporting their personal resources, although what they needed from services had frequently not been offered. Their expertise by experience contributes valuable knowledge. Better service coordination and consistent implementation of this knowledge are crucial to support recovery in FEP.
Conjunctive hierarchical secret sharing by finite geometry
Authors: Gyarmati Máté , Ligeti Péter , Sziklai Peter , Takáts Marcella 
Published: October 2024

Abstract
Secret sharing is a general method for distributing sensitive data among the participants of a system such that only a collection of predefined qualified coalitions can recover the secret data. One of the most widely used special cases is threshold secret sharing, where every subset of participants of size above a given number is qualified. In this short note, we propose a general construction for a generalized threshold scheme, called conjunctive hierarchical secret sharing, where the participants are divided into disjoint levels of hierarchy, and there are different thresholds for all levels, all of which must be satisfied by qualified sets. The construction is the first method for arbitrary parameters based on finite geometry arguments and yields an improvement in the size of the underlying finite field in contrast with the existing results using polynomials.
Emotions Represent Evaluative Properties Unconsciously
Authors: Bonard Constant 
Published: October 2024

AbstractDrawing on affective sciences, I argue that normally elicited emotions involve a component—the appraisal process—that represents evaluative properties unconsciously. More specifically, I argue that, given a substantial agreement in affective sciences about what emotions are, given broadly shared definitions of representation, evaluative properties, and unconsciousness, given how appraisals are conceptualized by most (neuro)psychological theories of emotion, and given empirical evidence about affective states elicited by stimuli perceived unconsciously, we are led to conclude that normally elicited emotions involve a component that represents evaluative properties unconsciously. In the last section, I assess which philosophical theories of emotions are in contradiction with my conclusion, ask whether it implies that emotions represent evaluative properties consciously as well, and discuss how it relates to the debate on unconscious emotions.
Modeling extreme events: Univariate and multivariate data-driven approaches
Authors: Buriticá Gloria , Hentschel Manuel , Pasche Olivier C. , Röttger Frank , Zhang Zhongwei 
Published: October 2024

AbstractThis article summarizes the contribution of team genEVA to the EVA (2023) Conference Data Challenge. The challenge comprises four individual tasks, with two focused on univariate extremes and two related to multivariate extremes. In the first univariate assignment, we estimate a conditional extremal quantile using a quantile regression approach with neural networks. For the second, we develop a fine-tuning procedure for improved extremal quantile estimation with a given conservative loss function. In the first multivariate sub-challenge, we approximate the data-generating process with a copula model. In the remaining task, we use clustering to separate a high-dimensional problem into approximately independent components. Overall, competitive results were achieved for all challenges, and our approaches for the univariate tasks yielded the most accurate quantile estimates in the competition.
Learning Strategies in Mathematics for Related Study Programs Focusing on Cooperative Education in Germany – Viewed from the Perspectives of the Academic Disciplines, Economics and Engineering, as well as Gender
Authors: Wild Steffen , Neef Christoph 
Published: October 2024

AbstractCognitive learning strategies are seen as a central element for successful learning. Acquiring knowledge about its worth, can support persons in sophisticated groups in attaining academic success. Consequently, the authors are interested in domain-specific learning strategies for mathematics in the academic disciplines of economics and engineering in cooperative tertiary education, in addition to determining gender-specific preferences for particular learning strategies. Data from a cross-sectional design with N = 565 cooperative students from Germany are used. A 2 × 2 analysis of variance, with one repeated measure, show the impact of academic disciplines and gender on seven specific cognitive learning strategies in mathematics. Taken together, these results show the complexity of cognitive learning strategies in higher education learning.
A transformer-based approach to Nigerian Pidgin text generation
Authors: Garba Kabir , Kolajo Taiwo , Agbogun Joshua B. 
Published: October 2024

AbstractThis paper describes the development of a transformer-based text generation model for Nigerian Pidgin also known as Naijá, a popular language in West Africa. Despite its wide use, Nigerian Pidgin remains under-resourced, particularly in areas related to text generation and natural language processing. These difficulties are primarily due to technological constraints rather than the language’s fundamental attributes. There is currently a demand for Nigerian Pidgin-specific solutions because it is used in everyday communication and has a unique linguistic blend. This paper aims to close this gap by exploring the application of state-of-the-art transformer technology to develop a text generation model for Nigerian Pidgin. This work uses the public Afriberta-corpus dataset to optimize the Generative Pre-trained Transformer (GPT-2) model across a sizeable dataset. The performance evaluators, BLEU and Perplexity metrics provide a detailed breakdown of the model’s text quality and predictive accuracy. Despite the difficulties caused by a limited amount of training data, preliminary evaluations show that the model can generate coherent Nigerian Pidgin text. The performance evaluation yielded perplexity scores of 43.56 for variable target reference length and 43.26 for fixed text length. BLEU scores of 0.15 for fixed max length and 0.56 for variable reference target length. This highlights the quality of generated text and the significant improvement when the generated text length is aligned with the reference target. Our work was benchmarked against African American Vernacular (AAVE) revealing that BLEU scores for AAVE are significantly lower than those for Standard American English, with BLEU given as 0.26. Our Nigerian Pidgin model, with a BLEU score of 0.56, shows a better performance. However, both results suggest that both dialects are challenging for language models. Leveraging the pre-trained transformer-based language model and evaluation metrics, we showcase the model’s capacity for coherent Nigerian Pidgin text generation. For future research, the research work can serve as a good foundation for advancement and progress in the Nigerian Pidgin language generation and other low-resource languages.
Robustness of generative AI detection: adversarial attacks on black-box neural text detectors
Authors: Fishchuk Vitalii , Braun Daniel 
Published: October 2024

AbstractThe increased quality and human-likeness of AI generated texts has resulted in a rising demand for neural text detectors, i.e. software that is able to detect whether a text was written by a human or generated by an AI. Such tools are often used in contexts where the use of AI is restricted or completely prohibited, e.g. in educational contexts. It is, therefore, important for the effectiveness of such tools that they are robust towards deliberate attempts to hide the fact that a text was generated by an AI. In this article, we investigate a broad range of adversarial attacks in English texts with six different neural text detectors, including commercial and research tools. While the results show that no detector is completely invulnerable to adversarial attacks, the latest generation of commercial detectors proved to be very robust and not significantly influenced by most of the evaluated attack strategies.
Def2Vec: you shall know a word by its definition
Authors: Morazzoni Irene , Scotti Vincenzo , Tedesco Roberto 
Published: October 2024

AbstractDef2Vec introduces a new perspective on building words embeddings by using dictionary definitions. By leveraging term-document matrices derived from dictionary definitions and employing Latent Semantic Analysis (LSA), our method, Def2Vec, yields embeddings characterized by robust performance and adaptability. Through comprehensive evaluations encompassing token classification, sequence classification and semantic similarity, we show empirically how Def2Vec consistently demonstrates competitiveness with established models like Word2Vec, GloVe, and FastText. Notably, our model’s utilization of all the matrices resulting from LSA factorisation facilitates efficient prediction of embeddings for out-of-vocabulary words, given their definition. By effectively integrating the benefits of dictionary definitions with LSA-based embeddings, Def2Vec builds informative semantic representations, all while minimizing data requirements. In this paper, we run different experiment to assess the quality of our embedding model at word level and at sequence level. Our findings contribute to the ongoing evolution of word embedding methodologies by incorporating structured lexical information and enabling efficient embedding prediction.
Preparation and characterization of low loss polyvinyl butyral/barium titanate nanocomposite films for energy storage applications
Authors: Awadallah-F Ahmed , Ali Hussein E. , Zaghlool R. A. , Moghny A. S. Abdel 
Published: October 2024

AbstractFor energy storage applications, attaining high dielectric permittivity as well as low loss factor is the foremost target. This could be accomplished via filling polymer matrices with inorganic filler which is characterized by relatively high dielectric permittivity. In the present study, polyvinyl butyral (PVB) was used as a matrix material for preparing nanocomposite films filled with different weight fractions (2, 5, 10, and 15%) of barium titanate (BaTiO3) using the casting approach. The results show that BaTiO3 (BT) is well incorporated inside the PVB matrix. Although the dielectric permittivity has been decreased from 3.61 to 2.41 at 1 kHz upon filling the PVB matrix with 5 wt. % of BT, the PVB-BT-NPs-5 nanocomposite film shows the lowest loss factor ~ 0.0049, nearly half that for PVB, 0.0092, which implies the increased film ability to keep its stored energy. The PVB-BT-NPs-5 has been irradiated with gamma radiation to investigate its impact on the structure beside its dielectric and thermal properties. The crystallite size of BT has been decreased from 20.64 to 17.77 nm as PVB-BT-NPs-5 nanocomposite film has been irradiated at a dose of 0.5 kGy. The dielectric permittivity has been decreased from 2.41 to 2.37 at 1 kHz, whereas an increase from 0.0049 to 0.0073 in the loss factor is observed. Furthermore, the thermal stability has been decreased due to the deformation induced by gamma rays inside the nanocomposite films. Therefore, these nanocomposite films could be better exploited in energy storage applications in its un-irradiated form.
Enhancing Learning Through Animated Video: An Eye-Tracking Methodology Approach
Authors: Beautemps Jacob , Bresges André , Becker-Genschow Sebastian 
Published: October 2024

Abstract
This study investigates the impact of different animation styles on learning outcomes in physics, with a focus on explanations of the seasons. Using a combination of pre-post performance tests and eye tracking, we compared animations featuring a presenter with pure animations without a person in the frame. The sample consisted of students from a seminar for prospective physics teachers (N = 32, mean age = 23.9, SD = 5.7). The results indicate that while both formats achieved high learning success, the pure animation significantly outperformed the presenter-inclusive format in terms of effect size and in attracting gaze to the key areas of interest (AOIs) essential for understanding the physics of seasons. Intriguingly, specific hand gestures in the animation with a presenter were shown to reverse this effect, substantially increasing gaze attention on relevant AOIs. These findings suggest that specific animation elements can enhance educational efficacy in physics. This understanding has the potential to improve educational animations in media but also traditional teaching in school or university.
Qualitative critical phenomenology
Authors: de Boer Marjolein , Zeiler Kristin 
Published: October 2024

AbstractSince its inception, phenomenological philosophy has engaged with empirical data of lived experiences. Recently, phenomenological philosophy itself has branched out into performing systematic qualitative research, resulting in a heterogeneous field of qualitative phenomenological philosophy. By introducing and outlining the research approach of ‘Qualitative Critical Phenomenology’ (QCP), this paper shows how one may conduct systemic qualitative research to lived experiences with an explicit phenomenological philosophical aim. In building on insights from various approaches within critical phenomenology, we not only give a stepwise explication of how to do QCP, we also discuss how we reflectively engage with lived experience as a research object and how key phenomenological themes – i.e. varieties of pre-/reflectivity and the phenomenological reduction – matter for designing and conducting a QCP inquiry. As such, we contribute to discussions on critical phenomenology – i.e. why it matters – but also to debates on how qualitative critical phenomenology may provide a critical lens to prevailing socio-cultural norms and their constitutive force in co-shaping perception and experience.
Digital Divide in the European Union: A Typology of EU Citizens
Authors: Gomes Ana , Dias José G. 
Published: October 2024

Abstract
This paper addresses the heterogeneity of the digital divide and internet use among citizens in the 28 European Union (EU) countries (at the time of the survey). Drawing from the Eurobarometer Surveys, three indicators of the digital divide are used to define the groups: frequency of internet access, means of internet access, and online activities. The categorical clustering algorithm identifies six groups of internet users: Non-Users, Basic Users, Information Exchangers, Instrumental Users, Socializers, and Advanced Users, each with distinct socio-demographic profiles. The study reveals significant socio-economic and demographic profiling variables characterizing these patterns, including age, education, gender, occupation, type of community and geographic location. A major digital divide is detected in many countries; Notably, Romania, Greece, and Bulgaria have the largest proportion of Non-Users, emphasizing the need for targeted policy interventions. These results provide crucial insights for the European Commission’s digitization strategy, suggesting that more nuanced and targeted measures are needed to ensure equitable digital access across the EU.
Formal models and justifications of democracy
Authors: Genta Benjamin Santos 
Published: October 2024

AbstractRecently, some epistemic democrats have taken a result from Hong and Page (Proc Natl Acad Sci 101(46):16385–16389, 2004) to help justify the virtues of deliberative democracy. In this paper, I present novel computational models and show that the result fails to be robust in ways that undermine it as evidence for justifying the virtues of deliberative democracy. In particular, the same model lauded by epistemic deliberative democrats can also be used to support certain kinds of epistocracy.