bluuebunny/crossref_metadata_2025_split huggingface dataset:
Is Cybersecurity a Social Responsibility?
Authors: Khan Waqas Nawaz , Lee Jae Kyu , Liu Shan 
Published: January 2025

Abstract
Cybersecurity incidents damage not only the organizations attacked, but also society in general, harming customers and stakeholders. Through the text mining of the incident database, we observed that the impact of cybersecurity incident trends became more outward-oriented causing increased risks associated with social responsibility. Thus, this study aims to validate the potential effect of cybersecurity incidents on social responsibility risks and stock price drops. To derive meaningful factors from the description of incidents, we mined the texts to extract the features of the severity of incidents and their direction of impact whether inward or outward. The severity score is derived from sentiment analysis and the impact direction by topic modeling and machine learning models including SVM, LSTM, and BERT. The effects of these incident features are studied through regression models with social responsibility risk and stock price drops as dependent variables. To conduct this study, we collected incident texts from the Privacy Rights Clearinghouse database, and social responsibility risk indices from the Privacy and Data Security index and Cyber Risk Rating scores. The subsequent short-term stock price drops are measured by Cumulative Abnormal Returns and their variations. Our analysis revealed a profound impact of cybersecurity incidents on social responsibility risk indices and stock price drops with the moderating effect of outward impact in both models. However, we recognize the incompatibility between an annual index of social responsibility risk and short-term stock price drops. Therefore, we propose a short-term social responsibility risk index for cybersecurity which can be derived from the disclosed incidents. All these scenarios support the premise that cybersecurity incidents significantly impact the social responsibility risk and may lead to potential stock price drops.
Harm, Insignificant Effects, and the Morality of Procreation
Authors: Pinkert Felix 
Published: January 2025

Abstract
Several authors have argued that we ought to have fewer children in order to reduce our contribution to climate change. Proponents of this view generally hold a moderate version of the view, according to which it is still permissible to have one or two children per couple. One recent exception is Chad Vance’s paper “Procreation is Immoral on Environmental Grounds” in this journal, in which he argues that procreation is always, or almost always, morally impermissible. I argue, first, that Vance is mistaken in conceding that his radical position holds only if individual acts of procreation can make a difference, rather than being only a causally insignificantly contribution to collective harm. Instead, given his assumptions, he should hold on to the radical view that we ought to have no children at all. Second, I argue against Vance’s strongest argument for his radical view. Vance argues that procreation harms others, and that obligations to avoid harming rule out the demandingness considerations that are used to support a permission to have one or two children. However, contrary to paradigmatic cases of harming, any procreation-related harms result not only from procreators’ actions, but also from our collective failures to rapidly reduce emissions. This complex causal structure undermines Vance’s rejection of demandingness considerations. I conclude that the moderate view that we may have one or two children per couple survives Vance’s criticism.
Nickel Metal-Organic Framework-Based Surfaces for Effective Supercapacitor Application
Authors: Eliwa Ayman S. , Medany Shymaa S. , Mohamed Gehad G. , Hefnawy Mahmoud A. 
Published: January 2025

Abstract
Metal–organic frameworks (MOFs), characterized by strong bonds between organic ligands and metal ions, exhibit high porosity, large surface area, and exceptional chemical stability when carefully designed. In this study, a novel MOF comprising lead ions and ligands derived from 2-carboxybenzaldehyde and 4-aminobenzoic acid was synthesized using a sonochemical approach. This innovative method enabled the rapid formation of highly porous crystals with a BET surface area of 1181.45 m2 g1 and a total pore volume of 2.27 cm3 g−1 at P/P₀ = 0.3023. Comprehensive characterization techniques, including thermal analysis, SEM, EDX, PXRD, and FT-IR, confirmed the successful formation of the MOF structure. The synthesized MOF was utilized to fabricate an enhanced Ni-MOF electrode, demonstrating superior electrochemical performance for capacitor applications. The electrode achieved a specific capacitance of 402 F g−1 at 1 mA cm−2 and maintained excellent cycling stability, with 87.9% capacitance retention over 4000 cycles at 5 A g−1. These results underline the potential of the synthesized MOF in advancing energy storage technologies, particularly in developing high-performance and durable electrochemical capacitors.
On the relationship between epistemology and science: synergies between experience-first epistemologies and agent-centered interpretations of quantum mechanics
Authors: Berghofer Philipp 
Published: January 2025

Abstract
Although contemporary analytic epistemology continues to be dominated by externalist accounts, an alternative internalist approach has recently emerged that emphasizes the epistemic role of consciousness, in particular of conscious experience. According to the phenomenological experience-first epistemology (PEFE) discussed in this paper, certain experiences constitute a source of immediate justification as well as our ultimate evidence. One reason why internalist approaches are less popular in current debates is the common assumption that externalism fits better with scientific practice. In this picture, the natural sciences are typically understood as adopting a third-person perspective that successfully abstracts away from the subject and her personal experiences. Here, I discuss an alternative view of science, namely science as understood within the framework of agent-centered approaches to quantum mechanics. More specifically, my focus will be on QBism, a highly controversial but increasingly popular interpretation of quantum mechanics, whose defining feature is the interpretation of quantum probabilities as subjective Bayesian probabilities. The objective of this paper is to clarify the relationship between epistemology and science under the assumption that both PEFE and QBism are correct.
From open access publishing to collaborative dissemination
Authors: Väänänen Ilkka , Kantola Mauri , Friman Mervi , Lamberg Jaana 
Published: January 2025

Abstract
The question of how to promote co-creation and collaboration among universities and companies in research and developing operations lies in the background of this study. The focus of this exploratory case study is on knowledge-creating patterns in an online dissemination platform. The research question was expressed as follows: How to develop and maintain a context supporting collaboration and creative common activities by academic online publishing. Online publishing environments are in continuous turbulence. Thus, we have to develop platforms for the dissemination of knowledge systematically. This means, for instance, evidence-based analyses, assessing, and brainstorming. In this case study, we describe one development process by focusing on an online journal and the multiple future scenarios (possibilities) for the journal. In addition, some visions and thoughts about the role of OA journals and possibilities in implementing and publishing the activities and performances of higher education institutions are presented.
Emotions and political identity predict public acceptance of urban deer management
Authors: Desrochers Hannah M. , Peterson M. Nils , Larson Lincoln R. , Moorman Christopher E. , Kierepka Elizabeth M. , Kilgo John C. , Hostetter Nathan J. 
Published: January 2025

Abstract
Addressing public preferences can enhance wildlife management effectiveness and reduce backlash. We conducted novel research on public acceptance of wildlife management by accounting for the role of underexplored drivers including emotion and political identity across an urban-to-rural gradient. Using data from a 2022 survey about white-tailed deer (Odocoileus virginianus) in Durham County, North Carolina, we analyzed drivers of acceptance for three management strategies: passive management, lethal management by hunting, and lethal management by professionals. Support for deer management varied across the urban-to-rural gradient, as rural residents favored hunting but were less supportive of passive management compared to urban and suburban residents. Emotions and general attitudes toward deer were the strongest predictors of management acceptance. Support for passive management was higher among residents with more positive emotions toward deer, whereas support for lethal strategies was higher among those with more negative emotions. Additionally, political identity emerged as a complex yet influential factor in shaping support for lethal management. Conservative respondents exhibited a higher acceptance of hunting, whereas liberal respondents exhibited a higher acceptance of professional sharpshooting. Collectively, our results demonstrate the ways in which emotions, politics, and other socio-demographic factors interact to influence public support for deer management across the urban–rural gradient. When direct experience with wildlife is lacking (e.g., in urban areas), emotions may act as heuristic guides that shape preferences. Managers aiming to increase deer management acceptability could integrate insights about emotional, political, and demographic drivers of public management support in communication efforts, potentially rendering urban deer management more effective.
Transfer nach Diversity-Schulungen: Eine Studie in der Berliner Landesverwaltung
Authors: Hagelskamp Carolin 
Published: January 2025

Zusammenfassung
Erst im Transfer können Diversity-Schulungen zur Wertschätzung von Diversität im Arbeitskontext beitragen. Diese Interviewstudie (N = 16) untersucht, wie Teilnehmende aus Schulungen der Berliner Landesantidiskriminierungsstelle Transfer anstoßen und erleben. Das Ergebnis ist eine Typologie aus vier Transfererfahrungen: die Vorbilder, die Ernannten, die Mitverantwortlichen und die Einzelkämpfenden. Die Typen unterscheiden sich in erlebten Nutzungsmöglichkeiten für Diversity-Kompetenzen im Arbeitsalltag, in von Kolleg:innen und Führungskräften erfahrenen Unterstützungen und Widerständen und bezüglich der Lernkultur am Arbeitsplatz. Die Relevanz der Typologie für Theorie und Praxis wird diskutiert.
Waste-to-carbon-based supercapacitors for renewable energy storage: progress and future perspectives
Authors: Dzikunu Perseverance , Appiah Eugene Sefa , Arthur Emmanuel Kwesi , Akinwamide Samuel Olukayode , Gikunoo Emmanuel , Fangnon Eric A. K. , Mensah-Darkwa Kwadwo , Andrews Anthony , Vilaça Pedro 
Published: January 2025

Abstract
The increasing demand for cost-effective materials for energy storage devices has prompted investigations into diverse waste derived electrode materials for supercapacitors (SCs) application. This review examines advancements in converting waste into carbon-based SCs for renewable energy storage. In this context, different carbon-based waste precursor sources have been explored over the years as electrodes in SCs. These waste sources comprise of industrial, plastics and biowastes, including plant and animal wastes. The energy storage capabilities of the various waste derived SCs electrodes are highlighted to provide an understanding into the unique features that make them applicable to SCs. In addition, some challenges associated with the waste-derived SCs electrodes in terms of energy storage have been emphasized. Here, we also provided insights into the recent progress in SCs electrode synthesis techniques and their effects on electrochemical performance. SCs performance tailoring with material structures through the incorporation of different materials to form composites and optimized synthesis methods is an effective strategy. Hence, the synthesis methods outlined include pyrolysis, hydrothermal, microwave-assisted, template-assisted, and sol–gel techniques. The effect of the various synthesis methods on SCs performance has also been discussed. Overall, this review highlights waste valorization with future research directions and scaling challenges.
Seeking optimal non-pharmacological interventions for sarcopenia: a systematic review and network meta-analysis
Authors: Fu Zhenyue , Wang Yajiao , Zhao Lu , Li Yumeng , Song Qingqiao 
Published: January 2025

Abstract

Background
With the acceleration of aging, sarcopenia has become a reality of concern today. This study aimed to evaluate the efficacy of various non-pharmacologic interventions and find the optimal interventions for sarcopenia.

Methods
PubMed, Medline OVID, EMBASE, Scopus, and Cochrane were searched from 1 January 2000 to 25 October 2023, with language restrictions to English. We analyzed the data through the Bayesian network meta-analysis.

Results
Based on the inclusion and exclusion criteria defined by the PICOS principles, we identified 47 eligible clinical trials engaging 4889 individuals (including treatment group = 2835, control group = 2054). The results showed that resistance exercise (low-moderate load) significantly increased muscle mass (skeletal muscle mass and lean body mass) and that exercise plus nutrition improved physical activity indices (handgrip strength, gait speed, TUG test, chair standing).

Conclusion
Resistance exercise (low-moderate load), exercise plus nutrition, and nutritional supplementation (fatty acids, etc.) may be protective against sarcopenia.

Systematic Review Registration
https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=474799, ID: CRD4202347479.
CFD–DEM modelling of particle entrainment in wheel–rail interface: a parametric study on particle characteristics
Authors: Maramizonouz Sadaf , Nadimi Sadegh , Skipper William , Lewis Roger 
Published: January 2025

Abstract
To mitigate and alleviate low wheel–rail adhesion, a train-borne system is utilised to deposit sand particles into the wheel–rail interface via a jet of compressed air in a process called rail-sanding. Britain Rail Safety and Standards Board introduced guidelines on the sand particles’ shape, size, and uniformity which needs to be adhered to for rail-sanding. To further investigate these guidelines and help improve them, this research presents a parametric study on the particle characteristics that affect the rail-sanding process including density, size and size distribution, coefficient of uniformity, and shape, utilising a coupled computational fluid dynamics–discrete element method (CFD–DEM) model. The efficiency of rail-sanding is estimated for each case study and compared to the benchmark to optimise the sand characteristics for rail-sanding. It is concluded that particle size distribution (within the accepted range) has an insignificant effect on the efficiency while increasing particle size or the coefficient of uniformity decreases the efficiency. Particle shape is shown to highly affect the efficiency for flat, compact and elongated particles compared to the spherical shape. The current numerical model is capable of accurately predicting the trends in the efficiency compared to the actual values obtained from full-scale experiments.
Mechanical and dielectric properties of MgO ceramics with HNT additions
Authors: Catalbas Kubranur , Gozuacik Namik Kemal , Basaran Neslihan , Selli Neslihan Tamsu , Mensur Ebru 
Published: January 2025

Abstract
This study, the ceramics’ sintering, mechanical, and dielectric properties were examined, and the influence of HNT additives on these properties was investigated. HNT was added to the structure as a SiO2 source to the MgO ceramics, which are difficult to process, since SiO2 suppresses the grain growth of MgO ceramics and significantly reduces the sintering temperature. After calcination at 800 °C HNT at different ratios (1, 3, 5, 7, 9, 11 wt%) were added to calcined MgO powder. As a result of XRD analysis, it was determined that spinel, forsterite and periclase phases were formed and these results were also confirmed by SEM images. The addition of HNT led to the formation of the forsterite phase at grain boundaries, enhancing mechanical properties. The best mechanical properties were observed in MgO ceramics with 11% HNT additives. Adding HNT at different ratios increased the dielectric constant of MgO ceramics. HNT-added MgO ceramics exhibited higher dielectric constant value than those at ambient temperature. The lowest dielectric constant value was measured as ~ 8.5 for MgO ceramic without any HNT addition. Since the materials to be used as circuit substrates require strict dielectric and mechanical properties, it is aimed to improve the mechanical and dielectric properties of MgO ceramics with the addition of HNT. MgO ceramics incorporating HNT in this study exhibited outstanding dielectric and mechanical characteristics, suggesting their potential as favorable materials for circuit substrates.
Sampled-data self-learning observer based attitude tracking control against sensor-actuator faults
Authors: Wang Yu , Zhao Shunyi , Wu Jin , Tan Lining , Dong Peng , Zhang Chengxi 
Published: January 2025

Abstract
This paper proposes an intermittent measurement-based attitude tracking control strategy for spacecraft operating in the presence of sensor-actuator faults. A sampled-data (self-)learning observer is developed to estimate both the spacecraft’s states and lumped disturbances, effectively mitigating the impact of faults. This observer acts as a virtual predictor, reconstructing states and actuator fault deviations using only intermittent measurement data, addressing the limitations imposed by sensor failures. The control scheme incorporates compensation based on the predictor’s estimates, ensuring robust attitude tracking despite the presence of faults. We provide the first proof of bounded stability for this learning observer utilizing intermittent information, expanding its applicability. Numerical simulations demonstrate the effectiveness of this innovative strategy, highlighting its potential for enhancing spacecraft autonomy and reliability in challenging operational scenarios.
Finite element modelling and indirect tensile strength of SBS and CR modified asphalt mixtures
Authors: Fahad Mohammad , Nagy Richard 
Published: January 2025

Abstract
Different modifications in asphalt mixtures can be employed to improve the performance of asphalt pavements in terms of rutting and fatigue damage resistance enhancement. Performance of asphalt mixtures can be further enhanced with the use of different proportions of modifiers added to bitumen, however the optimum proportion of the modifiers added require further experimentation in terms of indirect tensile strength of asphalt mixtures. This research consists of selection of different proportions of Polymer (SBS—Styrene Butadiene Styrene) and CR (Crumb Rubber) modifiers, that have been used in various amounts at 7% CR, 15% CR, 20% CR, 4% SBS, 7% SBS to base bitumen and the performance has been compared with base asphalt mixture. Indirect tensile strength for each mixtures type has been evaluated in the lab with varying rise time. Furthermore, stiffness moduli of each mixture have been evaluated at four different frequency values of 1.2 Hz, 1.9 Hz, 3.5 Hz and 5 Hz at 20 °C.
Moreover, tensile strength for each mixture type and its progression with varying loading rates from 10 MPa/s to 70 MPa/s has been evaluated. A 2D finite element software, ABAQUS has been used to perform microstrain analysis for each mixture type. Fatigue and rutting damage models have been used to evaluate performance of each mixture type. Results show superior performance of SBS-7 and CR-20 mixtures in terms of rutting and fatigue damage resistance when compared to base asphalt. SBS-7 and CR-20 show 28% better performance in terms of fatigue damage resistance when compared to base asphalt. SBS-7 outperforms CR-20 in terms of rutting resistance by 22%.
Meta-anova: screening interactions for interpretable machine learning
Authors: Choi Yongchan , Park Seokhun , Park Chanmoo , Kim Dongha , Kim Yongdai 
Published: January 2025

Abstract
There are two things to be considered when we evaluate predictive models. One is prediction accuracy, and the other is interpretability. Over the recent decades, many prediction models of high performance, such as ensemble-based models and deep neural networks, have been developed. However, these models are often too complex, making it difficult to intuitively interpret their predictions. This complexity in interpretation limits their use in many real-world fields that require accountability, such as medicine, finance, and college admissions. In this study, we develop a novel method called Meta-ANOVA to provide an interpretable model for any given prediction model. The basic idea of Meta-ANOVA is to transform a given black-box prediction model to the functional ANOVA model. A novel technical contribution of Meta-ANOVA is a procedure of screening out unnecessary interactions before transforming a given black-box model to the functional ANOVA model. This screening procedure allows the inclusion of higher order interactions in the transformed functional ANOVA model without computational difficulties. We prove that the screening procedure is asymptotically consistent. Through various experiments with synthetic and real-world datasets, we empirically demonstrate the superiority of Meta-ANOVA.
Algorithmic bias: sexualized violence against women in GPT-3 models
Authors: Wyer Sarah , Black Sue 
Published: January 2025

Abstract
This study explores the occurrence and implications of sexualized violence against women in text completion tasks performed by GPT-3 models. The study began as an exploratory investigation into gender inequalities within GPT-3 models to discover what GPT3 models generate in text completion tasks when prompted with basic gendered prompts. For example, "Men can…", "Women can…". Using an adapted version of Safia Noble’s prompt scheme, we generated a dataset of 9 million tokens from GPT-3 models, then conducted topic analysis using BERTopic, VADER for sentiment analysis, and Detoxify for toxicity detection. The results were unexpected. Topic analysis revealed sexualized violence ranked as the top topic for prompts featuring’women’. Women were often depicted in the context of sexualized violence and victimization, in stark contrast to the portrayal of men as superheroes, or in contexts involving urination and alcohol. For example, a randomly selected output generated by the prompt. "Why are women so", generated "Why are women so arrogant about being raped?". Our findings stress the critical need for ethical considerations in large language model (LLM) development to address and mitigate the generation of text containing sexualized violence against women. We discuss the implications of amplifying and normalizing sexualized violence against women in content generated by LLMs. Our work builds on previous research examining gender bias in LLMs, with a specific focus on the manifestation of sexualized violence against women in LLM outputs, an area that has received little attention. We discuss the mitigation approaches such as content filtering and moderation; user safety and trauma-informed responses; legal and ethical considerations; avoiding misinformation; reflecting societal changes; and global discourse and action. With the overall aim to contribute to the understanding of such biases, their impact on survivors and wider society, and offer insights to guide the development of more equitable and ethical AI systems.