bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thriving in vertical schools: aspirations for inclusion and capability from a salutogenic design perspective
Authors: Willis Jill , Gillett-Swan Jenna , Franz Jill , Farahnak Majd Narges , Carroli Linda , Gallagher Jeanine , Bray Elise 
Published: June 2024

AbstractSchool designs have far-reaching future impacts. Facilities often remain unchanged for decades influencing whether generations of young people feel included and can access educational entitlements, especially those identifying as someone from a marginalised or minority group. Student perspectives are therefore essential to understand inclusive school environments. Student perspectives about their experiences of thriving in three new Australian vertical high schools designed to be inclusive from the outset were analysed alongside aspirations from the adults involved in designing them. Inclusion was uniquely conceptualised through capability and salutogenic theories that informed the analysis of annotated maps from over 200 Year 8 students. Inclusive environments were more evident when they were meaningful, made sense, and were easy to manage. Students highlighted the importance of choice, comfort, and spaces for resetting. Aspects where students had to work harder to manage the learning or themselves in the environment point to challenges in achieving SDG4a, where facilities need to be inclusive for all. The new conceptual approach extends current theory on designing for inclusion with intentionality in a holistic way to guide greater realisation of inclusive aspirations in school environments.
Kink-and-Disconnection Failed Eruption in 3D
Authors: Mrozek Tomasz , Li Zhentong , Karlický Marian , Chrysaphi Nicolina , Su Yang , Chen Wei , Gan Weiqun 
Published: June 2024

AbstractWe present a case study of a failed eruption that accompanied an M1.5 GOES class solar flare. It was observed by STIX onboard Solar Orbiter, HXI onboard the Advanced Space-based Solar Observatory, AIA onboard Solar Dynamics Observatory, and WAVES onboard the STEREO-A. The important input is from stereoscopic hard X-ray (HXR) observations obtained by HXI and STIX, whose vantage points were separated by $31.5^{\circ }$

31.5
∘

, allowing us to unfold the 3D geometry of the event. The eruption was a two-phase event. First, it started with the rope helical kink and then was slowed down, but with the structure still unstable, it erupted two minutes later due to ongoing reconnection in the interacting legs of the kinked structure. A Type III burst was observed in association with the eruption, indicating the acceleration of semirelativistic electrons into the heliosphere. During the second phase, a hot cloud was disconnected and confined in the overlying magnetic field, where the overlying loops connected two adjacent active regions. The estimated and corrected for real geometry velocities are in the range of 385 – 400 km s−1, whereas acceleration reached 4.78 – 6.33 km s−2. These extreme values are much more demanding from a perspective of conditions that are needed to stop the eruption. Images obtained simultaneously by HXI and STIX located in different vantage points showed that flare-related sources are not lying along a normal to the solar surface. The understanding of the eruption analyzed here has been highly enriched thanks to the stereoscopic information about HXR source locations.
Mental causation, interventionism, and probabilistic supervenience
Authors: Gebharter Alexander , Sekatskaya Maria 
Published: June 2024

AbstractMental causation is notoriously threatened by the causal exclusion argument. A prominent strategy to save mental causation from causal exclusion consists in subscribing to an interventionist account of causation. This move has, however, recently been challenged by several authors. In this paper, we do two things: We (i) develop what we consider to be the strongest version of the interventionist causal exclusion argument currently on the market and (ii) propose a new way how it can in principle be overcome. In particular, we propose to replace strict supervenience in the assumption that the mental supervenes on the physical by probabilistic supervenience and show how this move has the potential to license the inference to mental causation. Finally, we argue that probabilistic supervenience captures some of the most important intuitions that strict supervenience captures and discuss possible objections to weakening strict supervenience in the way we suggest.
The Paradox of Elites in Civil Society: A Comparative Study on Civil Society Leaders’ Satisfaction with Democracy in the UK and Sweden
Authors: Baxter Megan K. , Lee Jayeon , Odai Minja , Scaramuzzino Roberto 
Published: June 2024

AbstractThe presence of an elite group in civil society elicits a discursive friction between the long-standing normative understanding of civil society, acting as a check on government overreach and autocratic tendencies, and elite theories. Robert Michels’s iron law of oligarchy posits that as individuals rise in the ranks to become organizational leaders, they begin to take on elite attributes, and their priorities align with those of other elites and away from those of their constituents. Michels’s argument echoes with today’s populist anti-elitist rhetoric and the way populism rejects any intermediary bodies between the people and the political leaders, including interest organizations in civil society. As an attempt to empirically probe this theoretical tension, this paper explores satisfaction with the way democracy is working among the top-level leaders of the most well-resourced national-level civil society organizations in Sweden and in the UK, drawing on a survey study conducted in 2020–21.
Achieving Sustainable Goals Using an Effective Budget-Allocation Multicriteria Mives Model: Case Study of a Spanish Water Utility Company
Authors: Roigé Núria , Pardo-Bosch Francesc , Pujadas Pablo 
Published: June 2024

AbstractWithin the global sustainability agenda, companies must align their operations with specific Sustainable Goals (SGs) and develop corresponding budgeting strategies. This paper presents a robust multicriteria decision-making model tailored for a Spanish utility company specializing in water services. The model ensures that financial allocations reflect the company's vision and its interpretation of sustainable development within its service areas. This approach aims to promote objectivity, traceability, and sustainability in decision-making, as a critical component in achieving SGs. The article emphasizes the importance of aligning water companies' budget allocations with SGs, highlighting key indicators for consideration. It provides a practical illustration of how the company's financial allocations were synchronized with SGs using a multicriteria decision-making model. A case study is included, involving a budget allocation of 40 million euros compared across four scenarios with the historical average of budgets from the Past Three Investment Plans (P3IP). The results reveal significant variations in budget allocation across different infrastructure categories, demonstrating the system's robustness, such as a 70% variation in production infrastructures, 27% in transportation, 25% in distribution, and 40% in the remaining areas, depending on the scenario.
Using knowledge graphs for audio retrieval: a case study on copyright infringement detection
Authors: Montanaro Marco , Rinaldi Antonio Maria , Russo Cristiano , Tommasino Cristian 
Published: June 2024

AbstractIdentifying cases of intellectual property violation in multimedia files poses significant challenges for the Internet infrastructure, especially when dealing with extensive document collections. Typically, techniques used to tackle such issues can be categorized into either of two groups: proactive and reactive approaches. This article introduces an approach combining both proactive and reactive solutions to remove illegal uploads on a platform while preventing legal uploads or modified versions of audio tracks, such as parodies, remixes or further types of edits. To achieve this, we have developed a rule-based focused crawler specifically designed to detect copyright infringement on audio files coupled with a visualization environment that maps the retrieved data on a knowledge graph to represent information extracted from audio files. Our system automatically scans multimedia files that are uploaded to a public collection when a user submits a search query, performing an audio information retrieval task only on files deemed legal. We present experimental results obtained from tests conducted by performing user queries on a large music collection, a subset of 25,000 songs and audio snippets obtained from the Free Music Archive library. The returned audio tracks have an associated Similarity Score, a metric we use to determine the quality of the adversarial searches executed by the system. We then proceed with discussing the effectiveness and efficiency of different settings of our proposed system.Graphical abstract
Synthesis of zeolite from industrial wastes: a review on characterization and heavy metal and dye removal
Authors: Eren Sena , Türk Feride N. , Arslanoğlu Hasan 
Published: June 2024

AbstractIncreasing world population, urbanization, and industrialization have led to an increase in demand in production and consumption, resulting in an increase in industrial solid wastes and pollutant levels in water. These two main consequences have become global problems. The high Si and Al content of solid wastes suggests that they can be used as raw materials for the synthesis of zeolites. In this context, when the literature studies conducted to obtain synthetic zeolites are evaluated, it is seen that hydrothermal synthesis method is generally used. In order to improve the performance of the hydrothermal synthesis method in terms of energy cost, synthesis time, and even product quality, additional methods such as alkaline fusion, ultrasonic effect, and microwave support have been developed. The zeolites synthesized by different techniques exhibit superior properties such as high surface area and well-defined pore sizes, thermal stability, high cation exchange capacity, high regeneration ability, and catalytic activity. Due to these specific properties, zeolites are recognized as one of the most effective methods for the removal of pollutants. The toxic properties of heavy metals and dyes in water and their carcinogenic effects in long-term exposure pose a serious risk to living organisms. Therefore, they should be treated at specified levels before discharge to the environment. In this review study, processes including different methods developed for the production of zeolites from industrial solid wastes were evaluated. Studies using synthetic zeolites for the removal of high levels of health and environmental risks such as heavy metals and dyes are reviewed. In addition, EPMA, SEM, EDX, FTIR, BET, AFM, and 29Si and 27Al NMR techniques, which are characterization methods of synthetic zeolites, are presented and the cation exchange capacity, thermodynamics of adsorption, effect of temperature, and pH are investigated. It is expected that energy consumption can be reduced by large-scale applications of alternative techniques developed for zeolite synthesis and their introduction into the industry. It is envisaged that zeolites synthesized by utilizing wastes will be effective in obtaining a green technology. The use of synthesized zeolites in a wide variety of applications, especially in environmental problems, holds great promise.
Graphical Abstract
A unified framework of response surface methodology and coalescing of Firefly with random forest algorithm for enhancing nano-phytoremediation efficiency of chromium via in vitro regenerated aquatic macrophyte coontail (Ceratophyllum demersum L.)
Authors: Ali Seyid Amjad , Gümüş Numan Emre , Aasim Muhammad 
Published: June 2024

AbstractNano-phytoremediation is a novel green technique to remove toxic pollutants from the environment. In vitro regenerated Ceratophyllum demersum (L.) plants were exposed to different concentrations of chromium (Cr) and exposure times in the presence of titania nanoparticles (TiO2NPs). Response surface methodology was used for multiple statistical analyses like regression analysis and optimizing plots. The supplementation of NPs significantly impacted Cr in water and Cr removal (%), whereas NP × exposure time (T) statistically regulated all output parameters. The Firefly metaheuristic algorithm and the random forest (Firefly-RF) machine learning algorithms were coalesced to optimize hyperparameters, aiming to achieve the highest level of accuracy in predicted models. The R2 scores were recorded as 0.956 for Cr in water, 0.987 for Cr in the plant, 0.992 for bioconcentration factor (BCF), and 0.957 for Cr removal through the Firefly-RF model. The findings illustrated superior prediction performance from the random forest models when compared to the response surface methodology. The conclusion is drawn that metal-based nanoparticles (NPs) can effectively be utilized for nano-phytoremediation of heavy metals. This study has uncovered a promising outlook for the utilization of nanoparticles in nano-phytoremediation. This study is expected to pave the way for future research on the topic, facilitating further exploration of various nanoparticles and a thorough evaluation of their potential in aquatic ecosystems.
Graphical Abstract
Neuroenhancement unter Studierenden im ländlichen Raum – eine Querschnittstudie zu Prävalenz, Genderunterschieden und Beweggründen
Authors: Engel Katharina Mathilde , Meissner Karin 
Published: June 2024

Zusammenfassung
Hintergrund
Leistungsbezogener Substanzkonsum wird weithin unter dem Begriff Neuroenhancement (NE) diskutiert. Ziel dieser Studie war es, einen ersten Überblick zu Prävalenz, Genderunterschieden und Beweggründen von NE an einer Hochschule für angewandte Wissenschaften (HAW) im ländlichen Raum zu geben. Hierbei wurden sowohl pharmakologisches NE (PN), also der Konsum verschreibungspflichtiger und illegaler Substanzen, als auch Soft-Enhancement (SE), d. h. die Einnahme freiverkäuflicher Substanzen, mit einbezogen.

Methodik
Mit Hilfe eines Online-Fragebogens wurde im Wintersemester 2019/2020 eine Querschnitterhebung durchgeführt, in der 503 Studierende aller Fakultäten der HAW Coburg. Angaben zu ihrem Konsum von NE sowie ihren Beweggründen machten. Zur statistischen Analyse wurden χ2-, Fisher’s exact und Mann-Whitney-U-Tests angewandt. Genderunterschiede wurden hinsichtlich PN und SE betrachtet.

Ergebnisse
Die Studienzeitprävalenz für SE betrug 91 % und für PN 28 %. Am häufigsten wurden Kaffee (70 %), Softdrinks (66 %) und Tees (60 %) für SE, sowie Cannabis (21 %), Methylphenidat (8 %) und illegale Amphetamine (7 %) für PN verwendet. Männer betrieben signifikant häufiger PN als Frauen (37 % vs. 24 %, p = 0,005; φ = 0,130). NE wurde insbesondere während der Prüfungsvorbereitungen und bei Stress angewandt. Als Beweggründe dominierten Müdigkeit und Verbesserung der Konzentration und Aufmerksamkeit.

Schlussfolgerung
Die Ergebnisse weisen darauf hin, dass NE an HAWs im ländlichen Raum ein ernstzunehmendes Phänomen ist, das es weiter zu erforschen gilt.
Inter-property Correlation of Al2O3-CaO-MgO-SiO2 Quaternary Slag System in Blast Furnace Ironmaking
Authors: Hazra Sujan , Biswajeet Devi Dutta , Pal Snehanshu , Sengupta Supratim , Nag Samik , Seetharaman Seshadri 
Published: June 2024

AbstractExploring the correlation between the density and the thermo-physical properties of the Al2O3-CaO-MgO-SiO2 quaternary slag system is a subject of great interest in the domain of high alumina slag systems. This work attempts to establish correlations between (a) molar volume/density with enthalpy of mixing and (b) molar volume/density with slag viscosity, for the quaternary slag systems. The former is targeted based on existing models to determine the slag density and enthalpy of mixing first and then to develop machine-learning models which can suitably extrapolate the enthalpy of mixing as a function of slag composition, temperature and density. The volume shrinkage and the exothermic enthalpy of mixing between the slag constituent components are correlated in the current work. The later part would involve the conjunction of two hybrid machine-learning models, one for predicting slag viscosity as a function of slag compositions and temperature, and the other which predicts slag viscosity with the incorporation of slag density. The work will facilitate the establishment of two novel quantitative relationships that could provide better insights into the blast furnace quaternary slag systems.
Conformal link prediction for false discovery rate control
Authors: Marandon Ariane 
Published: June 2024

Abstract
Most link prediction methods return estimates of the connection probability of missing edges in a graph. Such output can be used to rank the missing edges from most to least likely to be a true edge, but does not directly provide a classification into true and nonexistent. In this work, we consider the problem of identifying a set of true edges with a control of the false discovery rate (FDR). We propose a novel method based on high-level ideas from the literature on conformal inference. The graph structure induces intricate dependence in the data, which we carefully take into account, as this makes the setup different from the usual setup in conformal inference, where data exchangeability is assumed. The FDR control is empirically demonstrated for both simulated and real data.
Periodic second-order systems and coupled forced Van der Pol oscillators
Authors: Minhós Feliz , Perestrelo Sara 
Published: June 2024

AbstractWe present an existence and localization result for periodic solutions of second-order non-linear coupled planar systems, without requiring periodicity for the non-linearities. The arguments for the existence tool are based on a variation of the Nagumo condition and the Topological Degree Theory. The localization tool is based on a technique of orderless upper and lower solutions, that involves functions with translations. We apply our result to a system of two coupled Van der Pol oscillators with a forcing component.
Solving the Pervasive Problem of Protocol Non-Compliance in MRI using an Open-Source tool mrQA
Authors: Sinha Harsh , Raamana Pradeep Reddy 
Published: June 2024

AbstractPooling data across diverse sources acquired by multisite consortia requires compliance with a predefined reference protocol i.e., ensuring different sites and scanners for a given project have used identical or compatible MR physics parameter values. Traditionally, this has been an arduous and manual process due to difficulties in working with the complicated DICOM standard and lack of resources allocated towards protocol compliance. Moreover, issues of protocol compliance is often overlooked for lack of realization that parameter values are routinely improvised/modified locally at various sites. The inconsistencies in acquisition protocols can reduce SNR, statistical power, and in the worst case, may invalidate the results altogether. An open-source tool, mrQA was developed to automatically assess protocol compliance on standard dataset formats such as DICOM and BIDS, and to study the patterns of non-compliance in over 20 open neuroimaging datasets, including the large ABCD study. The results demonstrate that the lack of compliance is rather pervasive. The frequent sources of non-compliance include but are not limited to deviations in Repetition Time, Echo Time, Flip Angle, and Phase Encoding Direction. It was also observed that GE and Philips scanners exhibited higher rates of non-compliance relative to the Siemens scanners in the ABCD dataset. Continuous monitoring for protocol compliance is strongly recommended before any pre/post-processing, ideally right after the acquisition, to avoid the silent propagation of severe/subtle issues. Although, this study focuses on neuroimaging datasets, the proposed tool mrQA can work with any DICOM-based datasets.
Policy-makers and Population Ageing in Bangladesh: A Dearth of Attention
Authors: Khoda Md. Sher E , Kröger Teppo 
Published: June 2024

AbstractPolicy responses to population ageing have seldom been studied in Bangladesh. This article contributes to this research stream by asking to what extent policy-makers in Bangladesh are aware of the rapidly growing older population and care needs in the country and how this awareness is reflected in their policy initiatives. The concept of inattention is introduced to investigate phenomena from a public policy perspective. Data were collected via open-ended interviews with key policy-makers in Bangladesh’s government and other local stakeholders. Their responses were transcribed and coded for thematic content analysis. The findings show that policy-makers in Bangladesh have paid very little attention to the rapidly growing older population and their care needs. Without considering social, economic and demographic circumstances, the government has left full responsibility for old-age care to family members. No specific health or social care facilities have been built for older adults. Instead, limited coverage pension schemes for government employees and the Old Age Allowance (OAA) for financially vulnerable older adults remain the only measures taken thus far. However, these means-tested OAAs are very limited in terms of both their level and coverage. The lack of policy attention to older adults’ needs has led to a situation in which many older persons, especially in rural areas, are left without any support or care from their family, the government or third-sector organisations. More research is needed to guide the government and other organisations in developing adequate policies to support older adults in Bangladesh.
An Analysis of Consumer Sensory and Sensibility Factors for Planning Conductive Fabric Clothing
Authors: Park Sujin , Ha Jisoo 
Published: June 2024

AbstractThe ultimate purpose of this research is to analyze consumers’ complex sensory and sensibility factors, providing fundamental data to assist in suggesting the planning of clothing products with conductive fabric. For conductive fabric, “electrostatic” is the key factor, while “even,” “not crude,” “mature,” “modern,” “refined,” and “urbane” constitute the primary sensibility factors. Participants tended to perceive that knit-type silver-coated conductive fabric based on the nylon is more insulating and formal than the same fabric based solely on the silver fiber. According to the analysis of differences in sensory factors based on the composition, it was observed that conductive fabric made from 100% nylon exhibits high versatility in developing clothing products. The preference for clothing products made from conductive fabric revealed that blouses, shirts, dresses, and t-shirts were highly ranked. Especially, knit-type conductive fabric appears highly suitable for developing clothing, as it exhibits the highest preference for various clothing products. Thus, actively applying knit-type conductive fabric on a preferential basis is expected to be effective in introducing conductive fabric into the clothing market and stimulating product development. In conclusion, this result indicates that introducing conductive fabric into the clothing market is positive. Sensory and sensibility factors of the proposed fabric are believed to offer an important guideline for those who develop clothing products made of conductive fabric to satisfy consumer needs.