bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gendering Narcissism: Different Roots and Different Routes to Intimate Partner Violence
Authors: Green Ava , Hart Claire M. , Day Nicholas , MacLean Rory , Charles Kathy 
Published: May 2024

AbstractResearch has only recently begun to explore narcissism in women using gender-inclusive assessments that move beyond traditional male-centric frameworks associated with grandiosity. Such work indicates gender differences in the onset and expression of narcissism, and risk factors of partner violence perpetration. The pathways to offending in narcissism may therefore be gendered but have yet to be tested. In this study, we investigated the mediating role of grandiose and vulnerable narcissism in the association between childhood exposure to maltreatment and later partner violence perpetration in adulthood, and the moderating role of gender in these associations. Participants (N = 328) completed scales of grandiose and vulnerable narcissism, perceived parenting styles, and physical/sexual and psychological abuse perpetration. Results indicated gender differences in grandiose (men higher) and vulnerable (women higher) narcissism. Retrospective reports of having mothers who were caring was negatively related to grandiose narcissism for men and vulnerable narcissism for women. Father overprotectiveness was positively related to grandiose narcissism in men. Self-reported vulnerable narcissism was related to greater perpetration of physical/sexual and psychological IPV in women, whereas grandiose narcissism was associated with greater perpetration of psychological IPV in men. For women, but not men, mother care was associated with reduced psychological IPV via lower vulnerable narcissism levels. These findings inform gendered risk markers of narcissism and perpetration of violence for intervention efforts.
Spectral and Imaging Observations of a C2.3 White-Light Flare from the Advanced Space-Based Solar Observatory (ASO-S) and the Chinese H$\alpha $ Solar Explorer (CHASE)
Authors: Li Qiao , Li Ying , Su Yang , Song Dechao , Li Hui , Feng Li , Huang Yu , Li Youping , Li Jingwei , Zhao Jie , Lu Lei , Ying Beili , Xue Jianchao , Zhang Ping , Tian Jun , Liu Xiaofeng , Li Gen , Jing Zhichen , Li Shuting , Shi Guanglu , Tian Zhengyuan , Chen Wei , Su Yingna , Zhang Qingmin , Li Dong , Ge Yunyi , Shan Jiahui , Zhou Yue , Lei Shijun , Gan Weiqun 
Published: May 2024

AbstractSolar white-light flares are characterized by an enhancement in the optical continuum, which are usually large flares (X- and M-class flares). Here, we report a small C2.3 white-light flare (SOL2022-12-20T04:10) observed by the Advanced Space-based Solar Observatory and the Chinese H$\alpha $
α
Solar Explorer (CHASE). This flare exhibits an increase of ≈ 6.4% in the photospheric Fe i line at 6569.2 Å and ≈ 3.2% in the nearby continuum. The continuum at 3600 Å also shows an enhancement of ≈ 4.7%. The white-light bright kernels are mainly located at the flare ribbons and co-spatial with nonthermal hard X-ray sources, which implies that the enhanced white-light emissions are related to nonthermal electron-beam heating. At the bright kernels, the Fe i line displays an absorption profile that has a good Gaussian shape, with a redshift up to ≈ 1.7 km s−1, while the H$\alpha $
α
line shows an emission profile having a central reversal. The H$\alpha $
α
line profile also shows a red or blue asymmetry caused by plasma flows with a velocity of several to tens of km s−1. It is interesting to find that the H$\alpha $
α
asymmetry is opposite at the conjugate footpoints. It is also found that the CHASE continuum increase seems to be related to the change in the photospheric magnetic field. Our study provides comprehensive characteristics of a small white-light flare that help understand the energy release process of white-light flares.
How values relate to student achievement in upper secondary education: Integrating interdisciplinary perspectives on value beliefs in the school context
Authors: Meyer Jennifer , Scharf Jan , Daumiller Martin , Hübner Nicolas 
Published: May 2024

AbstractEducational research often refers to the subjective values assigned to aspects of education. Theoretical frameworks from the related disciplines of psychology and sociology applied to the context of education aim to better describe why some students are more motivated in school than others to understand differences in academic outcomes. In the current study, we followed an interdisciplinary approach that aimed to integrate psychological views regarding domain-specific value beliefs (i.e., intrinsic, attainment, utility, cost) and sociological views regarding domain-general values of education (i.e., stimulation, comfort, status, behavioral confirmation) and to investigate how they relate to academic success in upper secondary education. In a sample of 3,775 upper secondary school students in Germany, we found evidence that combining the two perspectives had incremental effects when predicting domain-specific achievement and GPA. We discuss how integrating interdisciplinary theoretical perspectives could foster communication between scientific disciplines and benefit future research in the field of motivation.
A modified EM-type algorithm to estimate semi-parametric mixtures of non-parametric regressions
Authors: Skhosana Sphiwe B. , Millard Salomon M. , Kanfer Frans H. J. 
Published: May 2024

AbstractSemi-parametric Gaussian mixtures of non-parametric regressions (SPGMNRs) are a flexible extension of Gaussian mixtures of linear regressions (GMLRs). The model assumes that the component regression functions (CRFs) are non-parametric functions of the covariate(s) whereas the component mixing proportions and variances are constants. Unfortunately, the model cannot be reliably estimated using traditional methods. A local-likelihood approach for estimating the CRFs requires that we maximize a set of local-likelihood functions. Using the Expectation-Maximization (EM) algorithm to separately maximize each local-likelihood function may lead to label-switching. This is because the posterior probabilities calculated at the local E-step are not guaranteed to be aligned. The consequence of this label-switching is wiggly and non-smooth estimates of the CRFs. In this paper, we propose a unified approach to address label-switching and obtain sensible estimates. The proposed approach has two stages. In the first stage, we propose a model-based approach to address the label-switching problem. We first note that each local-likelihood function is a likelihood function of a Gaussian mixture model (GMM). Next, we reformulate the SPGMNRs model as a mixture of these GMMs. Lastly, using a modified version of the Expectation Conditional Maximization (ECM) algorithm, we estimate the mixture of GMMs. In addition, using the mixing weights of the local GMMs, we can automatically choose the local points where local-likelihood estimation takes place. In the second stage, we propose one-step backfitting estimates of the parametric and non-parametric terms. The effectiveness of the proposed approach is demonstrated on simulated data and real data analysis.
Recent advances in the relationships between biofilms and microplastics in natural environments
Authors: Ventura Eva , Marín Anna , Gámez-Pérez José , Cabedo Luis 
Published: May 2024

AbstractPlastic pollution in the form of microplastics (MPs), poses a significant threat to natural ecosystems, with detrimental ecological, social, and economic impacts. This review paper aims to provide an overview of the existing research on the interaction between microbial biofilms and MPs in natural environments. The review begins by outlining the sources and types of MPs, emphasizing their widespread presence in marine, freshwater, and terrestrial ecosystems. It then discusses the formation and characteristics of microbial biofilms on MPs surfaces, highlighting their role in altering the physicochemical properties of MPs and facilitating processes such as vertical transport, biodegradation, dispersion of microorganisms, and gene transfer. Different methods used to assess these interactions are discussed, including microbiological and physicochemical characterization. Current gaps and challenges in understanding the complex relationships between biofilms and MPs are identified, highlighting the need for further research to elucidate the mechanisms underlying these complex interactions and to develop effective mitigation strategies. Innovative solutions, including bioremediation techniques and their combination with other strategies, such as nanotechnology, advanced filtration technologies, and public awareness campaigns, are proposed as promising approaches to address the issue of MPs pollution. Overall, this review underscores the urgent need for a multidisciplinary approach to combating MPs pollution, combining scientific research, technological innovation, and public engagement to safeguard the health and integrity of natural ecosystems.
Micro-robotic percutaneous targeting of type II endoleaks in the angio-suite
Authors: Widmann Gerlig , Deeg Johannes , Frech Andreas , Klocker Josef , Feuchtner Gudrun , Freund Martin 
Published: May 2024

Abstract
Purpose
Endovascular aneurysm repair has emerged as the standard therapy for abdominal aortic aneurysms. In 9–30% of cases, retrograde filling of the aneurysm sac through patent branch arteries may result in persistence of blood flow outside the graft and within the aneurysm sac. This condition is called an endoleak type II, which may be treated by catheter-based embolization in case of continued sac enlargement. If an endovascular access is not possible, percutaneous targeting of the perfused nidus remains the only option. However, this can be very challenging due to the difficult access and deep puncture with risk of organ perforation and bleeding. Innovative targeting techniques such as robotics may provide a promising option for safe and successful targeting.

Methods
In nine consecutive patients, percutaneous embolization of type II endoleaks was performed using a table-mounted micro-robotic targeting platform. The needle path from the skin entry to the perfused nidus was planned based on the C-arm CT image data in the angio-suite. Entry point and path angle were aligned using the joystick-operated micro-robotic system under fluoroscopic control, and the coaxial needle was introduced until the target point within the perfused nidus was reached.

Results
All punctures were successful, and there were no puncture-related complications. The pre-operative C-arm CT was executed in 11–15 s, and pathway planning required 2–3 min. The robotic setup and sterile draping were performed in 1–2 min, and the alignment to the surgical plan took no longer than 30 s.

Conclusion
Due to the small size, the micro-robotic platform seamlessly integrated into the routine clinical workflow in the angio-suite. It offered significant benefits to the planning and safe execution of double-angulated deeply localized targets, such as type II endoleaks.
Shaping organizations sustainably: Insights and perspectives
Authors: Hofer Annabelle , Kortsch Timo , Kauffeld Simone 
Published: May 2024

AbstractThis editorial is published in the journal Gruppe. Interaction. Organization. (GIO), in the special issue “Shaping organizations sustainably.” It briefly introduces the topic of sustainability, sustainable development, and sustainability perspectives in the organization, such as the Sustainable Development Goals (SDGs) and CSR/ESG criteria. It provides insights into previous research on sustainability in organizations and the additional knowledge gained through the contributions contained in the special issue. Moreover, it discusses possible future developments in research to contribute to organizations’ sustainable development actively.
Zur querschnittlichen Beziehung von Leistungsdruck, Leistungsorientierungen und dem Erleben von Angst und Stress in der Schule
Authors: Becker Saskia , Börnert-Ringleb Moritz 
Published: May 2024

ZusammenfassungSchulbezogener Stress und einhergehende Ängste nehmen einen bedeutsamen Einfluss auf die Leistungsentwicklung und das Wohlbefinden von Lernenden. Stress und Angst in der Schule scheinen dabei mit schulischen Leistungsanforderungen zusammenzuhängen, welche in bisherigen Studien insbesondere external, in Form von Anforderungen im Unterricht und resultierendem Leistungsdruck, operationalisiert wurden. Motivationale Dispositionen als personeninterne Merkmale, zum Beispiel die eigene Leistungsorientierung, können jedoch weiteren Einfluss auf das Erleben externaler Anforderungen sowie die Entwicklung von Stress und Angst nehmen. Das Zusammenspiel dieser Dimensionen wurde bisher nur in geringem Maße adressiert. Das Ziel der vorliegenden Studie ist es daher, den Zusammenhang zwischen Schulleistungen, Leistungsdruck und Leistungsorientierungen sowie Schulstress und Leistungsangst zu untersuchen. Hierzu wurden Daten von N = 583 Schüler*innen der sechsten und siebten Jahrgangsstufe im Rahmen einer Fragebogenerhebung erfasst. Mithilfe einer Strukturgleichungsmodellierung kann aufgezeigt werden, dass Schulleistung einen signifikanten statistischen Prädiktor für das Angst- und Stresserleben sowie die Bewertung externaler Anforderungen als Leistungsdruck und das Ausmaß der eigenen Leistungsorientierung darstellt. Der Zusammenhang zwischen der Schulleistung und Angst bzw. Stress kann dabei in unterschiedlichen Teilen über den Leistungsdruck und die Leistungsorientierung mediiert werden.
The Microstructure, Surface Topography and Wear Resistance of Cold-Sprayed (Cr3C2-25(Ni20Cr))-(Ni-graphite) Composite Coatings Modified by Diode Laser Treatment
Authors: Trelka-Druzic Anna , Żórawski Wojciech , Lityńska-Dobrzyńska Lidia , Maj Łukasz , Kot Marcin , Wiązania Grzegorz , Góral Anna 
Published: May 2024

AbstractCold-sprayed composite coatings have several advantages; however, some properties, such as hardness and abrasion resistance, are lower than those in plasma- or HVOF-sprayed deposits. This work showed that the use of surface diode laser processing allowed the development of (Cr3C2-25(Ni20Cr))-(Ni-graphite) cermet coatings with good adhesion to the steel substrate, and increased properties in the near-surface zone, below which the properties of cold-sprayed coatings were retained. Studies of the microstructure in the micro/nanoscale of the laser-treated coatings showed strong grain refinement after surface treatment. Cr7C3 carbide of various shapes and sizes was formed in the structure; while, a several hundred nanometre layer of Cr2O3 oxide appeared on the coating surface. The changes occurring in the microstructure have resulted in increased mechanical and tribological properties of the laser-treated zone of deposits.
What is the Optimal Treatment Strategy after Sarcoma R2 Surgery?
Authors: Chmiel Paulina , Rutkowski Piotr , Spałek Mateusz , Szumera-Ciećkiewicz Anna , Czarnecka Anna M. 
Published: May 2024

Opinion statementSoft tissue sarcomas (STS) are rare tumours of mesenchymal origin, most commonly occurring in the extremity but also in the retroperitoneum. The curative treatment for STS is radical surgery with wide margins, in some cases in combination with perioperative radiotherapy and chemotherapy. Nonradical resection (R2) of STS has been an emerging issue in recent decades, as optimal subsequent management remains debatable. Similarly, there is still no consensus on optimal surgical margins. Combining multiple treatment modalities in adjuvant therapy can achieve local and distant control in patients following surgery with positive margins. Patients who have undergone nonradical resection therefore require additional surgical interventions, and adjuvant radiotherapy resulting in a better prognosis but a higher number of complications. Following non-radical treatment, patients with limb and trunk wall sarcomas and retroperitoneal sarcomas should also undergo increased oncological surveillance. Given the potential issues that may emerge in such clinical situations, it is crucial to up-date the current guidelines to enhance the long-term prognosis of these patients.
Protecting the rights of judges: the judgments of the European Court of Human Rights in Juszczyszyn v Poland and Tuleya v. Poland
Authors: Szwed Marcin 
Published: May 2024

AbstractThis article examines two rulings of the European Court of Human Rights on the rights of independent Polish judges in Juszczyszyn v. Poland and Tuleya v. Poland, focusing on two key aspects. First, it addresses the Court’s finding that the Polish authorities aimed to undermine judicial independence and deter the applicants from questioning the Government’s controversial judicial reforms. Secondly, it explores the potential evolution of the case law of the European Court of Human Rights regarding recognising the subjective right of judges under Article 6 of the European Convention on Human Rights to have their independence protected and respected by the State. The article also discusses problems concerning implementation of the two judgments.
Res Cogitans – The Evolution of Thinking
Authors: Lindenfors Patrik 
Published: May 2024

AbstractA somewhat prominent view in the literature is that language provides opportunity to program the brain with ‘cognitive gadgets’, or ‘virtual machines’. Here, I explore the possibility that thinking itself – internal symbolic responses to stimuli that are either intrinsic or extrinsic, and computational procedures that operate on these internal symbolic representations – is such a software product rather than just an emergent phenomenon of the brain’s hardware being ‘complex enough’, or the brain processing information in a manner that is ‘integrated enough’. I also present a testable hypothesis that would indicate the presence of such a thought-gadget, and briefly overview some evolutionary pre-requisites for its existence. Further, I explore some consequences the existence of such a gadget would entail for our understanding of consciousness. The nature of the gadget is left unspecified as the article is not a blueprint for the thinking gadget, but an argument in favor of its existence.
Social media-based implosion of Silicon Valley Bank and its domino effect on bank stock indices: evidence from advanced machine and deep learning algorithms
Authors: Khan Mushtaq Hussain , Hasan Affan Bin , Anupam Angesh 
Published: May 2024

Abstract
Social media-driven speculations play a crucial role in triggering the collapse of the banking system and stock markets. In this paper, we investigate the effect of Twitter-based investor sentiment on the collapse of Silicon Valley Bank (SVB), the 16th largest bank in the US. Additionally, we examine the spillover effect of the social media-based investor sentiment and SVB collapse on the bank stock indices from twelve countries where Global Systemically Important Banks (G-SIBs) operate. Advanced machine and deep learning models are employed to model the social media-based investors’ sentiment regarding SVB implosion and its spillover effect on the G-SIBs’ bank stock indices. Our results reveal that social media-based negative investors’ sentiment played an important role in SVB implosion. Our results further show that the negative investors’ sentiment persisted, and its systemic shock was transmitted to the G-SIBs bank stock indices. Importantly, our results provide a lead and lag relationship between investors’ sentiment and returns of G-SIBs bank stock indices. The findings of this study offer crucial insights for policymakers to consider the external shocks associated with social media-based investors’ sentiment when devising policies related to bank runs, thus helping to prevent future financial crises and cross-border contagion.
Temporal vectorized visibility for direct illumination of animated models
Authors: Wang Zhenni , Ho Tze Yui , Xiao Yi , Leung Chi Sing 
Published: May 2024

AbstractDirect illumination rendering is an important technique in computer graphics. Precomputed radiance transfer algorithms can provide high quality rendering results in real time, but they can only support rigid models. On the other hand, ray tracing algorithms are flexible and can gracefully handle animated models. With NVIDIA RTX and the AI denoiser, we can use ray tracing algorithms to render visually appealing results in real time. Visually appealing though, they can deviate from the actual one considerably. We propose a visibility-boundary edge oriented infinite triangle bounding volume hierarchy (BVH) traversal algorithm to dynamically generate visibility in vector form. Our algorithm utilizes the properties of visibility-boundary edges and infinite triangle BVH traversal to maximize the efficiency of the vector form visibility generation. A novel data structure, temporal vectorized visibility, is proposed, which allows visibility in vector form to be shared across time and further increases the generation efficiency. Our algorithm can efficiently render close-to-reference direct illumination results. With the similar processing time, it provides a visual quality improvement around 10 dB in terms of peak signal-to-noise ratio (PSNR) w.r.t. the ray tracing algorithm reservoir-based spatiotemporal importance resampling (ReSTIR).
Comparison of two different experimental environments for resistance screenings for the leafhopper-transmitted wheat dwarf virus in wheat
Authors: Pfrieme Anne-Kathrin , Stahl Andreas , Pillen Klaus , Will Torsten 
Published: May 2024

AbstractWheat dwarf virus (WDV) causes high yield losses in wheat and other cereals and is therefore an important pathogen transmitted by the leafhopper Psammotettix alienus. Climate change will increase infections by insect-transmitted viruses due to the increasing spread of vectors. In the context of integrated pest management, the cultivation of WDV-resistant/tolerant varieties is an effective way of controlling WDV. Evaluation of tolerant/resistant genotypes is based on inoculation with viruliferous leafhoppers and subsequent phenotyping in gauze houses under semi-field conditions. For successful screening, it is important to ensure the uniform and reproducible inoculation of plants. Abiotic conditions, particularly temperature, have a critical influence on inoculation success, and thus, variations in infection rates were observed within and between previous replicates in the field. Furthermore, the leafhopper population reared in the greenhouse has to be reestablished after each infection, which delays the screening process. We addressed these issues by developing an improved inoculation assay in which plants are inoculated in small infection hoods in the greenhouse before being planted out in gauze houses. This procedure allows optimal environmental conditions for WDV infection of test plants and allows the plants with WDV infection to develop under natural environmental conditions for symptom scoring. In addition, the viruliferous leafhoppers were recollected from the test plants after infection, allowing a sustainable use of the insects. The method thus enables more reliable phenotyping by increasing infection success and testing a greater number of genotypes in a shorter time.