bluuebunny/crossref_metadata_2025_split huggingface dataset:
Towards zero-emission urban mobility: Leveraging AI and LCA for targeted interventions
Authors: Wang Qi R. 
Published: October 2024

AbstractUrban mobility is a critical contributor to greenhouse gas emissions, accounting for over 30% of urban carbon emissions in the United States in 2021. Addressing this challenge requires a comprehensive and data-driven approach to transform transportation systems into sustainable networks. This paper presents an integrated framework that leverages artificial intelligence (AI), machine learning (ML), and life cycle assessment (LCA) to analyze, model, and optimize urban mobility. The framework consists of four key components: AI-powered analysis and models, synthetic urban mobility data generation, LCA for environmental footprint analysis, and data-driven policy interventions. By combining these elements, the framework not only deciphers complex mobility patterns but also quantifies their environmental impacts, providing actionable insights for policy decisions aimed at reducing carbon emissions and promoting sustainable urban transportation. The implications of this approach extend beyond individual cities, offering a blueprint for global sustainable urban mobility.
Co-Creating with a Robot Facilitator: Robot Expressions Cause Mood Contagion Enhancing Collaboration, Satisfaction, and Performance
Authors: de Rooij Alwin , Broek Simone van den , Bouw Michelle , de Wit Jan 
Published: October 2024

AbstractSocial robots can be designed to facilitate co-creation. The impact of mood expressions displayed by human facilitators can elicit similar moods in others, fostering collaboration, process satisfaction, and co-creation performance. However, the extent to which robot mood expressions can influence such group dynamics to the same effect remains an open question. To address this, we conducted an experiment (N = 110) in which small groups engaged in a co-creation session facilitated by a social robot that displayed positive, neutral, or negative mood expressions. The results showed that robot mood expressions evoked corresponding mood contagion among human group members. The influence of robot expressions on mood valence significantly enhanced group collaboration and process satisfaction. Additionally, participants’ ability to contribute insights during the session and ensure these are represented in session outcomes, an index of co-creation performance, significantly improved when positive robot mood expressions increased mood contagion valence. By establishing the influence of robot mood expressions on mood contagion, group collaboration, process satisfaction, and co-creation performance, we shed light on the potential of social robots for facilitating and enhancing co-creation. Understanding the mechanisms underlying these effects adds to a growing body of work in the field of human-robot interaction and offers valuable insights for developing innovative future robotic systems.
Über sozioökonomische Einflüsse und Sportausübung von Jugendlichen
Authors: Klöcker Julian Alexander , Schurade Malte , Daumann Frank 
Published: October 2024

Zusammenfassung
In der vorliegende Studie wird auf Grundlage von Bourdieus Kapitaltheorie empirisch mit Daten des SOEPs analysiert, welche Determinanten die Wahl der Sportart von Jugendlichen beeinflussen. Die Studie hebt sich von vorherigen in der Weise ab, dass keine binäre Aussage über favorisierte Sportarten untersucht, sondern die Wahl einer relevanten Alternative in das Modell aufgenommen wird. So werden die jeweils für Jungen und Mädchen populärsten Sportarten Fußball und Tanzen als Referenzkategorien in die Schätzungen miteinbezogen. Es zeigt sich, dass insbesondere das kulturelle Kapital sowohl der Jugendlichen selbst als auch der Eltern die Wahl der Sportart erheblich beeinflusst. Zudem verändert auch das ökonomische Kapital das Chancenverhältnis, eine andere Sportart als die Referenzsportart auszuüben, erheblich. Die Kovariaten werden dann in einem zweiten Schritt nicht allein aus Plausibilitätsgründen den Bourdieu’schen Kapitalarten zugeordnet, sondern diese Zuordnung wird mittels eines statistischen Verfahren, der multiplen Korrespondenzanalyse, unterstützt. Nach Korrespondenzanalyse erfolgt mit den neugewonnen Dimensionen eine weitere Schätzung des Einflusses der Kapitalarten auf die Wahl der Sportarten, wobei sich die Ergebnisse von der ersten Schätzung in der Form unterscheiden, dass dem sozialen Kapital nun eine wesentlich höhere Bedeutung bei der Wahl der Sportart zugeschrieben wird. Mithilfe der Zuordnung der Kovariate mittels dieses statistischen Verfahrens konnte demnach gezeigt werden, dass die isolierte Betrachtung der Kapitalarten zu unpräzisen Rückschlüssen führen kann. Dieser Beitrag liefert damit auch einen ersten Ansatz, Wechselwirkungen zwischen einzelnen Kovariaten und zwischen den Kapitalarten selbst aufzuzeigen.
A Study on Xenon Estimation During Load-Follow Operation Using Sliding Mode Observer in APR1400 for A Predictive Soluble Boron Control
Authors: Khalefih Husam , Kim Yonghee 
Published: October 2024

AbstractDuring daily load-follow operations (DLFOs) in nuclear reactors, xenon concentration varies with power level, necessitating adjustments to the soluble boron concentration via dilution or boration. Since xenon cannot be directly measured within the reactor, this study introduces the use of a sliding mode observer (SMO) to estimate xenon concentration on the fly during the DLFO. Based on these estimates, the necessary boron concentration adjustments are calculated using a control algorithm (Mode-K +) that integrates data on the reactor’s chemical control system, xenon, and boron worth. This study focuses on the APR1400 reactor’s initial cycle and demonstrates a high degree of accuracy between the estimated xenon concentrations and reference values derived from KANT’s in-house 3D time-dependent xenon model. The integration of the SMO with the load-follow operation control algorithm represents a significant advancement by providing reactor operators with precise boron adjustment information. This precision minimizes unnecessary control rod movements, thereby reducing the risk of axial or radial power peaking, a critical factor for maintaining reactor stability and safety. Additionally, this approach optimizes the boron dilution process by accurately timing and controlling the volume of demineralized water introduced into the system. This not only ensures the effective execution of load-follow operations but also significantly reduces the volume of liquid radioactive waste produced. The analysis was conducted using a two-step procedure: cross-sectional evaluation via the Serpent 2.2.0 continuous energy Monte Carlo code, followed by whole-core calculations to generate lumped parameters using KANT. This methodology offers a robust and novel solution for enhancing the safety and efficiency of nuclear reactor operations during load-follow scenarios.
Mathematical tasks: a review of classification systems
Authors: Scheja Bruno , Rott Benjamin 
Published: October 2024

AbstractClassification of mathematics tasks has long been an important part of classroom assessment. The classification systems used in this context are based on different approaches and often make use of different categories of analysis. Comprehensive studies that examine these aspects in terms of their interrelationships, and thus shed light on the contribution of classification systems to research and practice, are of great benefit. The present study provides a systematic overview of classification systems for mathematics tasks (search period: 1956–2023; worldwide distribution). It includes 17 such classification systems developed between 1963 and 2019. These systems are analyzed with the help of a model developed here. On the one hand, this model focuses on the aspects of the use of the classification systems; on the other hand, it considers the theoretical basis and the components of the classification systems. The results show that early attempts to classify mathematics tasks were largely based on Bloom’s work. These classification systems were used to analyze test items from large-scale studies and were related to mathematical content. Since the 1990s, there has been a shift in emphasis in the use of classification systems, with a greater focus on tasks used in learning processes on the one hand, and on mathematical activities on the other. At the same time, there has been an increasing differentiation of the classification systems, allowing different aspects of mathematics learning to be captured.
Transformation of CO2 into value-added green hydrocarbon components through a modified catalytic route using biomass-generated graphene-based structures
Authors: Moniem Mohamed A. , Shalaby Nasser H. , Amdeha Enas , El Naggar Ahmed M. A. , El Sayed Hussien A. , Abd El-sattar Nour E. A. , Hashem Ahmed I. 
Published: October 2024

AbstractCarbon dioxide gas is considered one of the major contributors to the global warming phenomena and acid rains which have serious impacts on both the environment and living creatures. However, carbon dioxide can be of high benefit if introduced in some chemical processes to produce valuable products. In agreement with this goal, this research study presents the catalytic conversion of CO2 gas to hydrocarbon structures that can be highly advantageous in the energy sector. Three novel catalysts made of graphene as a support layer and active sites of transition metals (Ni, Cu, and Zn) nanoparticles were utilized during the conversion process. The preparation of these catalysts launched by producing graphene from rice straw through thermochemical treatment followed by the direct loading of metals nanoparticles on an individual basis. The structural and surface characteristics of the prepared catalytic structures were determined via Fourier Transform Infrared (FTIR), Raman Spectroscopy, X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), and N2 adsorption–desorption surface area analysis. The catalytic performances of these three structures toward the conversion of carbon dioxide into valuable hydrocarbons were then investigated at different operating temperatures and reaction residence time (as a modified pathway imitating the Fischer–Tropsch reaction). The three structures could show significant activity in terms of attaining high levels of CO2 conversions which were detected as approximately 99, 95, and 82% for Ni, Zn, and Cu-containing catalysts respectively. Nevertheless, the catalysts which were made of Ni and Cu nanoparticles revealed high selectivity (nearly 55%) toward the production of liquefied petroleum gas (LPG) fractions while Zn-based catalysts could display a complete tendency to reduce carbon dioxide into CO. On the other hand, Ni-catalysts could also exhibit increased selectivity to produce the components of natural gas (NG) fraction.
Sleep Characteristics Among Children with a Parental History of Alcohol Use Disorder
Authors: Wong Maria M. , Hillebrant-Openshaw Madisen 
Published: October 2024

Abstract
Purpose of Review
The purpose of the review was to examine findings on sleep characteristics among children with a parental history of alcohol use disorder (CPHAUDs) in different age groups. We identified unanswered questions and discussed directions for future research. We also discussed the implications of these current findings on alcohol prevention and intervention programs.

Recent Findings
Parental ratings and youth report of sleep difficulties have been longitudinally associated with the emergence of alcohol use and alcohol-related problems among both CPHAUDsand non-CPHAUDs. There were inconsistent findings comparing sleep characteristics in these two groups. Studies that used self-report and parental ratings reported no or minimal differences while studies that used actigraphy and polysomnography found significant, albeit moderate but meaningful differences.

Summary
Current research shows that CPHAUDs and non-CPHAUDs are similar on most objective and subjective sleep measures. There are a few significant differences between the two groups that may have implications for the development of behavioral problems, substance use and other risk behaviors.
High-speed grinding: from mechanism to machine tool
Authors: Wang Yu-Long , Zhang Yan-Bin , Cui Xin , Liang Xiao-Liang , Li Run-Ze , Wang Ruo-Xin , Sharma Shubham , Liu Ming-Zheng , Gao Teng , Zhou Zong-Ming , Wang Xiao-Ming , Dambatta Yusuf Suleiman , Li Chang-He 
Published: October 2024

Abstract
High-speed grinding (HSG) is an advanced technology for precision machining of difficult-to-cut materials in aerospace and other fields, which could solve surface burns, defects and improve surface integrity by increasing the linear speed of the grinding wheel. The advantages of HSG have been preliminarily confirmed and the equipment has been built for experimental research, which can achieve a high grinding speed of more than 300 m/s. However, it is not yet widely used in manufacturing due to the insufficient understanding on material removal mechanism and characteristics of HSG machine tool. To fill this gap, this paper provides a comprehensive overview of HSG technologies. A new direction for adding auxiliary process in HSG is proposed. Firstly, the combined influence law of strain hardening, strain rate intensification, and thermal softening effects on material removal mechanism was revealed, and models of material removal strain rate, grinding force and grinding temperature were summarized. Secondly, the constitutive models under high strain rate boundaries were summarized by considering various properties of material and grinding parameters. Thirdly, the change law of material removal mechanism of HSG was revealed when the thermodynamic boundary conditions changed, by introducing lubrication conditions such as minimum quantity lubrication (MQL), nano-lubricant minimum quantity lubrication (NMQL) and cryogenic air (CA). Finally, the mechanical and dynamic characteristics of the key components of HSG machine tool were summarized, including main body, grinding wheel, spindle and dynamic balance system. Based on the content summarized in this paper, the prospect of HSG is put forward. This study establishes a solid foundation for future developments in the field and points to promising directions for further exploration.
The negative association between sodium-driven nutrient pattern and telomere length: the chain mediating role of diastolic pressure and waist circumference
Authors: Xing Baodi , Yu Jie , Liu Yiwen , He Shuli , Gao Qi , Chen Xinyue , Ping Fan , Xu Lingling , Li Wei , Zhang Huabing , Li Yuxiu 
Published: October 2024

Abstract
Background
Numerous single nutrients have been suggested to be linked with leukocyte telomere length (LTL). However, data on nutrient patterns (NPs), particularly in Chinese population, are scarce. This study aimed to examine the relationship between nutrient-based dietary patterns and LTL, and the potential role of metabolic factors.

Methods
Dietary data was obtained via 24-hour food recalls, and principal component analysis (PCA) was used to identify NPs. LTL was assessed using a real-time PCR assay. Multiple linear regression was conducted to determine the association between NPs and LTL. The potential role of metabolism among them was analyzed using mediation models.

Results
A total of 779 individuals from northern China were included in this cross-sectional analysis. Five main nutrient patterns were identified. Adjusted linear regression showed that the “high sodium” pattern was inversely associated with LTL (B=-0.481(-0.549, -0.413), P < 0.05). The “high vitamin E-fat” pattern exhibited a positive correlation (B = 0.099(0.029, 0.170), P < 0.05), whereas the “high vitamin A-vitamin B2” pattern was negatively correlated with LTL (B=-0.120(-0.183, -0.057), P < 0.05), respectively. No significant associations were observed for the remaining nutrient patterns. The mediation model demonstrated that diastolic blood pressure and waist circumference could individually and collectively mediate the negative impact of the “high sodium” pattern on LTL (BDBP=-0.0173(-0.0333, -0.0041), BWC=-0.0075(-0.0186, -0.0004), Bjoint=-0.0033 (-0.0072, -0.0006), all P < 0.05). Moreover, glycosylated hemoglobin and non-high-density lipoprotein cholesterol mediate the relationship between the “high vitamin E-fat” pattern and LTL (BHbA1c=0.0170(0.0010,0.0347), Bnon-HDL-C= 0.0335 (0.0067, 0.0626), all P < 0.05), respectively.

Conclusions
The “high sodium” and “high vitamin E-fat” nutrient patterns demonstrated negative and positive associations with LTL and metabolic indicators may play complex mediating roles in these relationships.
A systematic review and network meta-analysis on the optimal wavelength of low-level light therapy (LLLT) in treating knee osteoarthritis symptoms
Authors: Fan Tianxiang , Li Yang , Wong Arnold Y. L. , Liang Xiao , Yuan Yarou , Xia Peng , Yao Zhi , Wang Deli , Pang Marco Y. C. , Ding Changhai , Zhu Zhaohua , Li Ye , Fu Siu Ngor 
Published: October 2024

Abstract
Objectives
To compare the efficacy of the various wavelengths of low-level light therapy (LLLT) in alleviating knee pain, dysfunction, and stiffness in patients with knee osteoarthritis (KOA), and to compare the effectiveness of LLLT versus sham treatment in reducing knee pain, dysfunction, and stiffness.

Methods
PubMed, Web of Science, EMBASE, and Cochrane Library were searched from inception to 12 December 2023. Randomized controlled trials that assessed the effects of different wavelengths of LLLT on alleviating pain of patients with KOA were included. A conventional meta-analysis and network meta-analysis were preformed, and standardized mean differences (SMD) with 95% confidence interval (CI) were calculated.

Results
Thirteen studies involving 673 participants with KOA met inclusion criteria. Overall, LLLT was superior to sham LLLT for relieving pain (SMD = 0.96, 95% CI 0.31–1.61) but not for improving function (SMD = 0.21, 95% CI − 0.11 to 0.53) or stiffness (SMD = 0.07, 95% CI − 0.25 to 0.39). Surface under the cumulative ranking curve (SUCRA) value ranking showed the most effective wavelength of LLLT in reducing KOA pain was 904–905 nm (SUCRA, 86.90%), followed by multi-wavelengths (MWL) (SUCRA, 56.43%) and 785–850 nm (SUCRA, 54.97%). Compared to sham LLLT, L2 (SMD = 1.42, 95% CI = 0.31–2.53) and L1 (SMD = 0.82; 95% CI = 0.11–1.50) showed a significant reduction in KOA pain. However, MWL (SMD = 0.83; 95% CI = − 0.06 to 1.72) showed similar KOA pain reduction compared to sham LLLT. The certainty of evidence showed that the quality of evidence regarding the effectiveness of overall LLLT versus sham, and 904–905 nm versus sham were low, while the quality of evidence for MWL versus sham, and 785–850 nm versus sham was very low.

Conclusion
While the 904–905 nm wavelength showed potential benefits in reducing KOA pain, the overall quality of the evidence was low. LLLT with 904–905 nm or 785–850 nm wavelengths yielded significantly better reduction in KOA pain compared to sham LLLT, but further high-quality research is warranted to validate these findings.
Iron-oxide-nanoparticle-tagged Mesenchymal Stem Cell Exosomes in Therapeutics
Authors: Mehta Kosha J. 
Published: October 2024

Abstract
Purpose of Review
Mesenchymal Stromal/Stem Cells (MSCs) include a population of cells that are predominantly stromal cells with a small fraction of mesenchymal stem cells that demonstrate stem-cell like properties. MSCs have great therapeutic potential but are not used frequently in clinical settings because of methodological challenges posed at pre-transplantation stages, issues during post-transplantation detection, and the accompanying risks of tumorigenicity, immunogenicity and toxicity. Labelling MSCs with iron-oxide nanoparticles (IONPs) has shown promising results but it is not problem-free. This article highlights the utility of IONP-tagged MSC-derived exosomes in facilitating MSC therapeutics.

Recent Findings
To circumvent the issues associated with cell-based therapy, researchers have contemplated using a cell-free approach. MSC-derived exosomes are nanovesicles that contain beneficial biomolecules, and transplantation with these exosomes offers several procedural and physiological advantages over transplantation with parent MSCs. Notably, tagging these MSC-exosomes with IONPs leads to better guidance of these exosomes, and therefore, their therapeutic factors towards target cells, increased ability of exosomes to carry large amounts of therapeutic biomolecules, increased accumulation of exosomes at target site, increased expression of endogenous growth factors and increased therapeutic efficacy. Administration of IONP-tagged MSC-exosomes into animal models of spinal cord injury, ischemic stroke, myocardial infarction, and cancer has shown promising results such as enhanced angiogenesis, and reduction in inflammation, cell apoptosis, fibrosis, toxicity and/or tumour growth.

Summary
IONP-tagged MSC-derived exosomes show potential for disease amelioration. Further investigation is needed to address the challenges posed by this approach, including hemocompatibility issues to ensure patient safety and treatment efficacy.
Social Justice Imaginaries and Education Policy in Aotearoa New Zealand (2017–2024)
Authors: Estellés Marta , O’Neill John 
Published: October 2024

AbstractIn this article, we continue Martin Thrupp’s critical work in education policy in Aotearoa New Zealand by examining the policies of the Sixth Labour-led Government (2017–2023) and the Sixth National-led Government (2023-present). We consider their attempts to mitigate social injustice via education policy and the social imaginaries that underpin such efforts. Our conceptual framework draws on Nancy Fraser’s tripartite analysis (redistribution, recognition, participation), the contributions of education policy scholars who have built upon her work, and others who offer alternative framings of social justice. To contextualise our analysis, we provide a historical account of the discursive shift from equality to equity in New Zealand education policy and the recent transition by the Left from the ‘Third Way’ (Giddens, The third way: The renewal of social democracy, Polity Press, 1999) to ‘progressive neoliberalism’ (Fraser, American Affairs 1:46–64, 2017, Fraser, The old is dying and the new cannot be born: From progressive neoliberalism to Trump and beyond, Verso, 2019). Examination of selected education policies by the most recent Labour and National governments reveals that, despite equity infusing the rhetoric of both governments, their actual policies have consistently adopted affirmative responses aimed only at ameliorating inequality’s most visible effects. We conclude with a call for more intentionally transformative efforts in education based on holistic conceptions of social justice.