bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automatisierte Textilsortierung – Status quo, Herausforderungen und Perspektiven
Authors: Tischberger-Aldrian Alexia , Stipanovic Hana , Kuhn Nikolai , Bäck Tanja , Schwartz Daniel , Koinig Gerald 
Published: November 2023

ZusammenfassungDie Textil- und Bekleidungsindustrie wird in Zukunft im Sinne einer Kreislaufwirtschaft zu gestalten sein. Für Textilien stehen bereits unterschiedliche Recyclingverfahren zur Verfügung, wenngleich die Kapazitäten in Europa derzeit noch gering sind. Für alle Recyclingverfahren sind jedoch textile Inputströme erforderlich, die bestimmte Spezifikationen (z. B. Zusammensetzung, Störstoffgehalt, Farbe) erfüllen müssen. Für die Sortierung von Alttextilien (Post Industrial, Pre Consumer, Post Consumer) ergeben sich daraus eine Reihe von Herausforderungen (z. B. Textilprodukte sind extrem vielseitig und individuell gestaltet, verfügen über mehrere Lagen, bestehen aus einem Gemisch verschiedenster Fasertypen und/oder enthalten eine Vielzahl von Störstoffen). Manuelle Sortierung allein kann dieser Aufgabe nicht gerecht werden, da die Recyclingindustrie Informationen benötigt, die über die Angaben auf Pflegeetiketten hinausgehen und diese Sortierung personal- und kostenintensiv ist. Zum jetzigen Zeitpunkt spielt die manuelle Sortierung eine tragende Rolle und wird – gemeinsam mit der Sammlung – in den nächsten Jahren eine wichtige Unterstützungsfunktion der automatisierten Sortierung übernehmen (müssen). Sensorgestützte – und damit automatisierte – Sortierung kann Merkmale und Eigenschaften erfassen, die sortierendem Personal aus unterschiedlichsten Gründen nicht zugänglich sind. Einige wenige automatisierte Sortieranlagen auf Basis von NIR wurden in Europa bereits umgesetzt. Technologien wie RFID, NFC, Fluoreszenzmarker oder Digitale Wasserzeichen erfordern stets auch die flächendeckende Einbindung der textilherstellenden Unternehmen und können – wenn überhaupt – erst in Zukunft eine Rolle spielen. Auch die Objekterkennung mithilfe von Künstlicher Intelligenz getriebenen Algorithmen und Modellen stellt noch eine Zukunftstechnologie der automatisierten Sortierung dar. Die Verwendung einer einzigen Technologie zur Sortierung von Textilien wird und kann in Zukunft nicht ausreichend sein, um den vielfältigen Sortieraufgabenstellungen in diesem Bereich zu begegnen.
Longstanding Auditory Sensory and Semantic Differences in Preterm Born Children
Authors: Retsa Chrysa , Turpin Hélène , Geiser Eveline , Ansermet François , Müller-Nix Carole , Murray Micah M. 
Published: November 2023

AbstractMore than 10% of births are preterm, and the long-term consequences on sensory and semantic processing of non-linguistic information remain poorly understood. 17 very preterm-born children (born at < 33 weeks gestational age) and 15 full-term controls were tested at 10 years old with an auditory object recognition task, while 64-channel auditory evoked potentials (AEPs) were recorded. Sounds consisted of living (animal and human vocalizations) and manmade objects (e.g. household objects, instruments, and tools). Despite similar recognition behavior, AEPs strikingly differed between full-term and preterm children. Starting at 50ms post-stimulus onset, AEPs from preterm children differed topographically from their full-term counterparts. Over the 108-224ms post-stimulus period, full-term children showed stronger AEPs in response to living objects, whereas preterm born children showed the reverse pattern; i.e. stronger AEPs in response to manmade objects. Differential brain activity between semantic categories could reliably classify children according to their preterm status. Moreover, this opposing pattern of differential responses to semantic categories of sounds was also observed in source estimations within a network of occipital, temporal and frontal regions. This study highlights how early life experience in terms of preterm birth shapes sensory and object processing later on in life.
Assessing carbon cycle projections from complex and simple models under SSP scenarios
Authors: Melnikova Irina , Ciais Philippe , Boucher Olivier , Tanaka Katsumasa 
Published: November 2023

AbstractBoth full-fledged Earth system models (ESMs) and simple climate models (SCMs) have been used to investigate climate change for future representative CO2 concentration pathways under the sixth phase of the Coupled Model Intercomparison Project. Here, we explore to what extent complex and simple models are consistent in their carbon cycle response in concentration-driven simulations. Although ESMs and SCMs exhibit similar compatible fossil fuel CO2 emissions, ESMs systematically estimate a lower ocean carbon uptake than SCMs in the historical period and future scenarios. The ESM and SCM differences are especially large under low-concentration and overshoot scenarios. Furthermore, ESMs and SCMs deviate in their land carbon uptake estimates, but the differences are scenario-dependent. These differences are partly driven by a few model outliers (ESMs and SCMs) and the procedure of observational constraining that is present in the majority of SCMs but not applied in ESMs. The differences in land uptake arise from the difference in the way land-use change (LUC) emissions are calculated and different assumptions on how the carbon cycle feedbacks are defined, possibly reflecting the treatment of nitrogen limitation of biomass growth and historical calibration of SCMs. The differences in ocean uptake, which are especially large in overshoot scenarios, may arise from the faster mixing of carbon from the surface to the deep ocean in SCMs than in ESMs. We also discuss the inconsistencies that arise when converting CO2 emissions from integrated assessment models (IAMs) to CO2 concentrations inputs for ESMs, which typically rely on a single SCM. We further highlight the discrepancies in LUC emission estimates between models of different complexity, particularly ESMs and IAMs, and encourage climate modeling groups to address these potential areas for model improvement.
Unlocking Local Union Meeting Attendance for Employees Identified by Gender, Minority Status, and Language of Origin: Psychological Safety and Meeting Effectiveness
Authors: Mellor Steven 
Published: November 2023

AbstractViewing the problem of chronic low local union meeting attendance through a psychological lens, we sampled employees from 22 unions and 64 locals who attended meetings in the last 12 months (N = 130) to replicate a mediation model presented in Mellor (Employee Responsibilities and Rights Journal,35, 189–208, 2023), in which psychological safety at meetings is linked to meeting attendance through rated meeting effectiveness. Support for replication was shown, in which employees who experienced more safety at meetings were more likely to rate meetings as effective, and in turn were more likely to indicate meeting attendance in the next 12 months. Because gender, minority status, and language of origin were linked to model variables in the Mellor study, and because discussions with local officers (“local reps”) about the problem of low attendance indicated interest in these demographics, the demographics were positioned as moderators in the mediation model. Test results for the expanded model indicated support, in which mediation was stronger for minority employees and for employees for which English is a Second Language, specifically links between safety and effectiveness ratings and between safety and attendance through effectiveness ratings. Model relationships are discussed in relation to future sampling, modeling, and intervention.
Operationalising the concept of recontextualisation: leveraging pedagogy and learning strategies in higher education practical courses
Authors: Hockham David , Wallis Jillian 
Published: November 2023

AbstractThis interdisciplinary paper brings together scholarship from the fields of education, psychology, sociology and performance to shed light on three pedagogy and learning strategies to support learners recontextualise knowledge between higher education and work contexts. These strategies include offering multiple different types of performance activities and modes of engagement with different types of people (learners/experts, different cultures, ages, etc.). Secondly, it provides spaces to fail and enables testing of personal strategies with limited risk. Finally, it supports students in connecting ideas and experiences from the past, across educational experiences of different performance practices and into wider contexts such as professional work.The research, which is a pilot, recognises the ways in which these strategies align with and operationalise Guile’s (2010) concept of recontextualisation, offering pedagogues tools to support learning in a similar way in which the concept of scaffolding might be seen to operationalise Vygotsky’s notion of the Zone of Proximal Development (ZPD).This pilot study uses semi-structured interviews and a thematic analysis approach with five graduates from an undergraduate drama degree programme in London. We recognise drama as a practical degree subject and as such consider our findings as generalisable to wider practical fields and disciplines, such as engineering and nursing education, and as having international relevance. The work offers a novel approach to conceptualising and evaluating the ways in which students deploy taught knowledge beyond the classroom, in work. It offers and augments arguments around the ways in which students bridge practice and learning from within the HEI and beyond it.
Modeling Thermodynamic Properties of Mixtures of CO2 + O2 in the Allam Cycle by Equations of State
Authors: Staubach Jens , Schwarz Gerhard , Möbius Stephan , Hasse Hans , Stephan Simon 
Published: November 2023

AbstractDifferent equations of state (EOS) were applied for describing thermodynamic properties of the system $$\text {CO}_{2} + \text {O}_{2},$$

CO
2

+

O
2

,

which is important for the Allam cycle: cubic EOS (Soave–Redlich–Kwong, Peng–Robinson), molecular-based EOS (PC-SAFT, PCP-SAFT, SAFT-VR Mie, polar soft-SAFT, BACKONE, sCPA), and multiparameter EOS (GERG-2008, EOS-CG). The pure component models were taken from the literature. The results for the mixture were compared to experimental data from the literature for two cases: (i) the thermodynamic properties of the mixture were modeled using predictive mixing and combination rules; (ii) additional binary interaction parameters were fitted to experimental data for improving the performance. In the predictive mode (i), the best results were obtained with molecular-based EOS. In the adjusted mode (ii) the best results were obtained with the multi-parameter GERG-2008 EOS and EOS-CG.
Tweet acts and quote-tweetable acts
Authors: Cousens Chris 
Published: November 2023

AbstractOnline communication can often seem different to offline talk. Structural features of social media sites can shape the things we do with words. In this paper, I argue that the practice of ‘quote-tweeting’ can cause a single utterance that originally performed just one speech act to later perform several different speech acts. This describes a new type of illocutionary pluralism—the view that a single utterance can perform multiple illocutionary acts. Not only is this type more plural than others (if one utterance can acquire many kinds of illocutionary force), but it also shows how illocutionary forces can be accumulated over time. This is not limited to online utterances—some offline contexts are similarly structured, and so offline utterances can also come to perform many different speech acts.
Polymorphisms in LRP2 and CUBN genes and their association with serum vitamin D levels and sleep apnea
Authors: Anatolou Dimitra , Steiropoulos Paschalis , Zissimopoulos Athanasios , Chadia Konstantina , Archontogeorgis Kostas , Kolios George , Manolopoulos Vangelis G. , Ragia Georgia 
Published: November 2023

Abstract
Purpose
Vitamin D deficiency has been associated with the occurrence of obstructive sleep apnea syndrome (OSAS). Megalin (LRP2) and cubilin (CUBN) are implicated in vitamin D metabolism, whereas LRP2 and CUBN polymorphisms have been previously associated with variable serum vitamin D levels. The present study aimed to evaluate the role of LRP2 rs2228171 c.8614C > T and CUBN rs1801222 c.758A > G polymorphisms in OSAS susceptibility, independently or in synergy with vitamin D levels.

Methods
Vitamin D serum concentration of consecutive individuals was measured. PCR–RFLP was used for LRP2 rs2228171 and CUBN rs1801222 genotyping.

Results
A total of 176 individuals was enrolled, including 144 patients with OSAS and 32 controls. Frequency of LRP2 rs2228171 c.8614 T and CUBN rs1801222 c.758G alleles was estimated at 22.4% and 79.8%, respectively. LRP2 and CUBN polymorphisms were not associated with OSAS occurrence (rs2228171Τ allele: 22.9% in OSAS group vs. 20.3% in controls, p = 0.651; rs1801222A allele 19.4% in OSAS group vs. 23.4% in controls, p = 0.471). Frequency of CUBN rs1801222A allele carriers was increased in patients with moderate or severe OSAS compared to mild OSAS (p = 0.028). Patients with OSAS homozygous for LRP2 CC and CUBN GG genotypes had lower vitamin D serum concentration compared to controls carrying the same genotype (18.0 vs 27.0 ng/mL, p = 0.006 and 19.0 vs 27.5 ng/mL, p = 0.007, respectively).

Conclusion
CUBN rs1801222 polymorphism may affect OSAS severity. Among other factors, low vitamin D concentration is associated with OSAS occurrence, irrespectively of LRP2 and CUBN polymorphisms.
Human health risk assessment of PM10-bound heavy metals and PAHs around the Latin America’s Largest opencast coal mine
Authors: Arregocés Heli A. , Bonivento Guillermo J. , Ladino Luis A. , Beristain-Montiel Erick , Restrepo Gloria , Miranda Javier , Alvarez-Ospina Harry , Rojano Roberto 
Published: November 2023

AbstractAir pollution in opencast coal mine areas is a critical issue, resulting in harmful severe effects on human health. Therefore, it is essential to understand the air pollution factors and to assess the risks to humans. This study evaluated the potential risks (carcinogen and non-carcinogen) of inhalation exposure to PM10-bound heavy metals and Polycyclic Aromatic Hydrocarbons (PAHs) in an open pit mine in northern Colombia. During February-May 2022, PM10 samples were collected at eight sites. Heavy metals (i.e., Al, Cr(VI), Mn, Cu, Zn, As, Pb) and PAHs (thirteen priority PAHs, and one non-priority PAH) levels linked to PM10 were analyzed by X-ray fluorescence and gas chromatography–mass spectrometry, respectively. PM10 concentrations were found to range between 4.70 and 59.90 µg m−3. Out of the three different zones of the study area (i.e., North Zone, South Zone, and Populated Zone), the North Zone recorded the highest daily average concentrations of Cr(VI) (104.16 ng m−3), Mn (28.39 ng m−3), Cu (33.75 ng m−3), Zn (57.99 ng m−3), As (44.92 ng m−3), and Pb (27.13 ng m−3). The fraction of the analyzed heavy metals at all monitoring sites was 82%–89% for Al, followed by Cr(VI) with 3%–6%. Cr(VI) was the major contributor to the carcinogenic risk values, while Cu, Cr(VI), and As were the main drivers for the non-carcinogenic risk. The average cancer risk range for heavy metals was 3.30 × 10–04 –5.47 × 10–04. On the other hand, the cancer risk for PAHs exposure was acceptable. The average incremental lifetime cancer risk (ILCR) values varied between 2.87 × 10–07 and 4.21 × 10–07. Benzo[a]pyrene contributed to 54%–56% of the total risk from inhalation of PM10-bound PAHs, while Indeno[1,2,3-cd]pyrene contributed to 16%–19%. Based on the Monte Carlo sensitivity analysis, exposure to Cr(VI) was the main factor affecting cancer risk in the North, South, and Populated Zones. A suitable risk assessment and management plan requires understanding PM10-bound heavy metals and PAHs concentration levels as well as their potential health risks, mainly in open-cast coal mine zones. Our study found that people living near open-pit mines face potential health risks, so it is crucial to establish policies and regulations to control emission sources.
Microbial consortia degrade several widely used organic UV filters, but a number of hydrophobic filters remain recalcitrant to biodegradation
Authors: Fagervold Sonja K. , Rohée Clémence , Lebaron Philippe 
Published: November 2023

AbstractOrganic UV filters are important ingredients in many personal care products, including sunscreens. Evaluating the biodegradability of organic UV filters is key to estimate their recalcitrance and environmental fate and thus central to their overall environmental risk assessment. In order to further understand the degradation process, the aim was to investigate whether specific consortia could degrade certain UV filters. Several bacterial strains were isolated from enrichment cultures actively degrading octocrylene (OC), butyl methoxydibenzoylmethane (BM), homosalate (HS), and 2-ethylhexyl salicylate (ES) and were utilized to construct an in-house consortium. This synthetic consortium contained 27 bacterial strains and degraded OC, BM, HS, and ES 60–80% after 12 days, but not benzophenone-3 (BP3), methoxyphenyl triazine (BEMT), methylene bis-benzotriazolyl tetramethylbutylphenol (MBBT), diethylhexyl butamido triazone (DBT), ethylhexyl triazone (EHT), or diethylamino hydroxybenzoyl hexyl benzoate (DHHB). Furthermore, several commercial microbial mixtures from Greencell were tested to assess their degradation activity toward the same organic UV filters. ES and HS were degraded by some of the commercial consortia, but to a lesser extent. The rest of the tested UV filters were not degraded by any of the commercial bacterial mixes. These results confirm that some organic UV filters are recalcitrant to biodegradation, while others are degraded by a specific set of microorganisms.
Understanding the educators’ practices in makerspaces for the design of education tools
Authors: Turakhia Dishita , Ludgin David , Mueller Stefanie , Desportes Kayla 
Published: November 2023

AbstractMakerspaces persist as formal and informal spaces of learning for youth, promoting continued interest in studying how design can support the variety of learning opportunities within these spaces. However, much of the current research examining learning in makerspaces neglects the perspectives of educators. This not only hinders our understanding of educators’ goals and how educators navigate makerspaces but also constrains how we frame the design space of the learning experiences and environments. To address this, we engaged in a set of semi-structured interviews to examine the contexts, goals, values, and practices of seven educators across five makerspaces. A thematic analysis of the data identified six key categories of competencies that these educators prioritize including a range of skills, practices, and knowledge, such as technical proficiency, communication, and contextual reflection. The analysis also identified five categories of strategies to accomplish certain goals, such as scaffolding, collaboration, and relationship building. Last, it also shed light on three categories of challenges faced at the student-level, teacher-level, and institutional level. We conclude with a discussion on our insights into how we can broaden the problem space in the design of educational technologies to support learning in makerspaces.
A Network Approach of Gambling Disorder Profile with and Without Related Illegal Acts
Authors: Granero Roser , Fernández-Aranda Fernando , Ayala-Rojas Rocío-Elena , Tapia Javier , Nadal Roser , Vinet-Valdebenito Gastón , Rosinska Magda , Jiménez-Murcia Susana 
Published: November 2023

AbstractGambling disorder (GD) is a complex mental health condition that can cause many severe psychological, physical, and social impairment. Illegal acts have been recognized in quite a few cases because of the debts related with the gambling activity. This study used network methodology to visualize the relationships among patients seeking treatment for gambling related problems, separately for the patients with and without illegal behaviors. The aim is to identify the diverse and differentiate mechanisms, as well as the central nodes, that occur within GD patients depending on the presence/absence of illegal acts. The sample included N = 401 patients (age range 18 to 80 years). Network analysis was performed considering the nodes that measure gambling features (the core symptoms based on the DSM-5 taxonomy, global symptom severity, and forms of gambling), psychopathology distress, substance use (tobacco, alcohol, and illegal drugs), and personality traits. Two separate networks were adjusted for patients with illegal acts (n = 105) and without these behaviors (n = 296). The most relevant nodes among patients with GD plus illegal acts were self-transcendence and the GD DSM-5 symptom “A7-lies to conceal the extent of gambling” (these variables were also identified as the bridge nodes, those with the highest linkage capacity). Among the patients with GD without illegal acts, the node with the greatest authority was the GD DSM-5 symptom “A5-often gambles when feeling distressed” (this was also the variable with the highest linkage capacity). The study provides empirical evidence of the most relevant features and the linkage capacity among patients seeking treatment for problematic gambling, which can support the development of precise plans for treatment and prevention of the risk of GDRIA.
Multinational Corporations’ Interactions with Host Institutions: Taking Stock and Moving Forward
Authors: Svystunova Liudmyla , Muratova Yulia , Fortwengel Johann , Edwards Tony 
Published: November 2023

AbstractOver more than 30 years, research on the interactions between multinational corporations (MNCs) and their institutional host environments has produced rich but scattered insights, which this review organises and integrates. We map the current state of knowledge and build an integrative model involving motivation and host context as antecedents; interaction strategy and actors as the phenomenon; and consequences, especially at the organisational level, as outcomes. By reviewing 176 articles published in leading journals, we reveal previously hidden relationships between host-country institutional context, proactive and reactive strategies, and positive and negative outcomes for the focal organisation. We also identify three future research frontiers focused on understudied aspects of interactions between MNCs and institutions: dynamics of strategies, dynamics of impact, and microfoundational dynamics. We suggest that combining organisational institutionalism and comparative institutionalism offers a pathway to push the outlined research frontiers.