bluuebunny/crossref_metadata_2025_split huggingface dataset:
Corporate carbon footprint and market valuation of restructuring announcements
Authors: Adamolekun Gbenga , Kyiu Anthony 
Published: June 2024

Abstract
The call for greener and more sustainable corporate practices triggered a surge in corporate restructuring. In this study, we investigate the impact of carbon emissions on the market reaction to announcements of corporate restructuring activities. Using a sample of US firms, we find that investors discount the value of corporate restructuring announcements when firms have higher levels of carbon emissions. Our results indicate that emissions are negatively associated with cumulative abnormal returns (CAR), cumulative total returns (CTR), and buy and hold abnormal returns (BHAR) around announcements. This effect is more pronounced for firms with a lower risk of bankruptcy, those financially constrained, and those with lower growth opportunities. We also find that high emissions at announcements are negatively associated with post-restructuring financial and market performance. Overall, our results highlight the growing implications of firm-level carbon emissions for corporate market valuations, especially amongst firms undertaking restructuring.
On the Adhesive Interaction Between Metals in Atomistic Simulations of Friction and Wear
Authors: Aramfard Mohammad , Avanzi Luca , Nicola Lucia 
Published: June 2024

AbstractAtomistic simulations are performed to assess how the main characteristics of a pairwise interatomic potential function can affect the occurrence of wear. A Morse-like potential is tailored in its attractive part such as to vary independently the cut-off radius and the maximum value of the attractive (adhesive) force. An ideal numerical experiment is then performed where the interaction between a metal crystal and a probe changes, while their material properties are not affected, to isolate the behavior of the interface. Force functions with larger adhesive force can loosely be interpreted as describing dry contacts while those with smaller adhesive force can be interpreted as describing lubricated contacts. Results demonstrate that the occurrence of wear is strongly dependent on the shape of the interatomic force field, and more specifically on the combination of maximum adhesive force and effective length of the interatomic attraction. Wear can initiate also at small adhesive energy, provided that the maximum adhesive force between atoms is large. When the surface of the crystal is taken to be rough instead of flat, the effect of the interatomic potential function on friction and wear becomes smaller, as the atoms belonging to the roughness are weakly bound to the rest of the crystal and are easily dislodged with any of the force functions we used.
Collaborative Problem-Solving in Knowledge-Rich Domains: A Multi-Study Structural Equation Model
Authors: Brandl Laura , Stadler Matthias , Richters Constanze , Radkowitsch Anika , Fischer Martin R. , Schmidmaier Ralf , Fischer Frank 
Published: June 2024

AbstractCollaborative skills are crucial in knowledge-rich domains, such as medical diagnosing. The Collaborative Diagnostic Reasoning (CDR) model emphasizes the importance of high-quality collaborative diagnostic activities (CDAs; e.g., evidence elicitation and sharing), influenced by content and collaboration knowledge as well as more general social skills, to achieve accurate, justified, and efficient diagnostic outcomes (Radkowitsch et al., 2022). However, it has not yet been empirically tested, and the relationships between individual characteristics, CDAs, and diagnostic outcomes remain largely unexplored. The aim of this study was to test the CDR model by analyzing data from three studies in a simulation-based environment and to better understand the construct and the processes involved (N = 504 intermediate medical students) using a structural equation model including indirect effects. We found various stable relationships between individual characteristics and CDAs, and between CDAs and diagnostic outcome, highlighting the multidimensional nature of CDR. While both content and collaboration knowledge were important for CDAs, none of the individual characteristics directly related to diagnostic outcome. The study suggests that CDAs are important factors in achieving successful diagnoses in collaborative contexts, particularly in simulation-based settings. CDAs are influenced by content and collaboration knowledge, highlighting the importance of understanding collaboration partners’ knowledge. We propose revising the CDR model by assigning higher priority to collaboration knowledge compared with social skills, and dividing the CDAs into information elicitation and sharing, with sharing being more transactive. Training should focus on the development of CDAs to improve CDR skills.
Mediation role of work engagement in the effect of healthcare professionals’ perception of organizational trust and organizational support on perception of organizational cynicism
Authors: Filiz Mustafa , Karagöz Yalçın , Budak Olkan , Erdal Nurgül 
Published: June 2024

AbstractThe aim of this study is to investigate the mediating role of work engagement in the effect of healthcare workers’ perceptions of organizational trust and organizational support on organizational cynicism. A total of 306 healthcare workers participated in the research. Data was collected using scales for organizational trust, organizational support, organizational cynicism, and work engagement. Confirmatory factor analysis was conducted to validate the structure of the scales. The study employed PATH analysis to determine the mediating role of work engagement. The data were analyzed using SPSS and AMOS software. The findings established a negative relationship between perceptions of organizational trust and organizational support with organizational cynicism, which is partially mediated by the level of work engagement. Additionally, the study identified a negative relationship between the level of work engagement and organizational cynicism. Conversely, the study concluded that perceptions of organizational trust and support have a positive impact on work engagement levels. This research makes a significant contribution to understanding the effects of healthcare workers’ perceptions of organizational trust and support on organizational cynicism and work engagement. Furthermore, these results could provide a valuable foundation for developing effective strategies in the management and practice of health organizations.
Speed and contextual information of a crime-related video bias the responsibility judgments
Authors: Ribatti Raffaella Maria , Lanciano Tiziana , de’Sperati Claudio , Curci Antonietta 
Published: June 2024

AbstractCourts often rely on video evidence, assuming it accurately shows important legal details. Yet, studies suggest that video isn’t inherently “objective” and people, including legal professionals, might misinterpret its objectivity due to video quality or context. This study aimed to explore how video speed variations and contextual information affect judgments of responsibility in a video portraying a bus assault. The study employed a 5 × 3 mixed design, with video speed (Very Slow, 0.88x; Slow, 0.96x; Neutral, 1.00x; Fast, 1.04x; Very Fast, 1.12x) as a between-subject variable, contextual information (Hit, Harm, Kill) attributed to the perpetrator’s action as a within-subject factor, and dimensions of accountability, predictability, criminal intent, and severity as dependent variables. ANOVA results from a sample of 300 participants (60 per video speed condition) revealed that the highest levels of accountability, criminal intent, and predictability were attributed when the contextual information was “hit” as compared to the “harm” and “kill” actions. Furthermore, the greatest difference in accountability and criminal intent scores for the kill action was between the very fast and very slow conditions. These findings raise significant concerns about the use of video evidence in criminal proceedings, as video speed manipulation and contextual information can have a substantial impact on responsibility judgments.
Feeling blue? Arts attendance as a moderator of the effect of neuroticism on subjective well-being: evidence from two national panel studies
Authors: Manolika Maria , Wagner Valentin , Jacobsen Thomas 
Published: June 2024

AbstractNeuroticism has long been known as a risk factor for reduced happiness and impaired health. And yet, despite the growing evidence linking arts engagement to happiness, the question remains: Do people high in neuroticism benefit from arts engagement? Using data from two nationally representative panel studies from Germany (N = 874) and Switzerland (N = 6,336) we examined whether arts attendance moderates the relation between neuroticism and subjective well-being. Results showed that popular arts attendance moderated the effect of neuroticism on life satisfaction and positive affect in the German sample. Quite similar results were observed in the Swiss sample, where arts attendance acted as a protective factor but only for life satisfaction. Arts attendance, however, did not serve as a moderator of the relation between neuroticism and negative affect in both samples. Even so, taken together, these findings further confirm the contribution of arts engagement to subjective well-being and illustrate the importance of its promotion among people scoring high in neuroticism.
Hydrolytic-Assisted Fractionation of Textile Waste Containing Cotton and Polyester
Authors: Villar Lorena , Pita Marta , González Begoña , Sánchez Pablo B. 
Published: June 2024

AbstractResulting properties of cotton and polyester blends make polycotton the most common fabric in textile industry. Separation technologies are key for the chemical processing of the massive amount of polycotton waste produced worldwide. The very different chemical nature of cellulose and polyethylene terephthalate determines the fractionation strategies to obtain two valuable monomaterial streams. In this work, we propose separation pathways seeking the conversion both polymers. First, polyester was depolymerised into its monomeric units through catalytic alkaline hydrolysis. The combined effect of alkali concentration and the catalyst was analysed to overcome the hydrophobic nature of polyester and optimise its conversion rate minimising the damaged caused to the cellulose chains. Conversion rates up to 80% were reached in a single separation stage with a limited effect of the polymer chain distribution of cellulose which remains a fiber-grade feedstock. Alternatively, cellulose was fully removed by selective dissolution in ionic solvent and subsequent filtration resulting in a spinnable mixture. Finally, enzymatic treatments for the conversion of cellulose into fermentable sugars were studied. Single stage conversions of 65% were achieved after maximizing the enzymatic activity. Structural and spectroscopic analysis showed that crystalline domains of textile-grade cotton limit the enzymatic activity. Optimal fractionation process is, in our view, highly context dependent what conveys to seek a variety of alternatives seeking for chemical processes driven by the ulterior up-cycling of the monomaterial streams
The efficacy of hyaluronic acid fragments with amino acid in combating facial skin aging: an ultrasound and histological study
Authors: Scarano Antonio , Qorri E. , Sbarbati A. , Gehrke S. A. , Frisone Alessio , Amuso D. , Tari Sergio Rexhep 
Published: June 2024

Abstract
Background
Various techniques have been employed in aesthetic medicine to combat skin aging, in particular that of the facial region. Hyaluronic acid is utilized to enhance moisture levels and extracellular matrix molecules. This study aims to histologically assess the effects of low molecular weight hyaluronic acid fragments combined with amino acids (HAAM) on facial skin rejuvenation through intradermal microinjections.

Methods
A total of twenty women, with an average age of 45 and ranging from 35 to 64 years old, participated in the study, including 8 in menopause and 12 in the childbearing age group. Mesotherapy was used to administer HAAM to the patients. Prior to and three months after the treatment, each patient underwent small circular punch biopsies. Ultrasound examinations were conducted using B-mode, capturing 2D images in longitudinal or transverse orientations with frequencies ranging from 5 to 13 Mega-hertz (MY LAB X8, ESAOTE, Genova, Italy). A total of 60 ultrasound examinations were taken, with 30 collected before treatment and 30 after treatment.

Results
The histological analysis demonstrates an increase in fibroblast activity resulting in the production of Type III reticular collagen, as well as an increased number of blood vessels and epidermal thickness. However, the analysis of ultrasound data before and after treatment showed no statistical difference in skin thickness in malar area, chin and mandibular angle.

Conclusions
Histological assessments indicate that subcutaneous infiltration of HAAM has a substantial impact on the dermis of facial skin.
Shell stand: Stable thin shell models for 3D fabrication
Authors: Xing Yu , Wang Xiaoxuan , Lu Lin , Sharf Andrei , Cohen-Or Daniel , Tu Changhe 
Published: June 2024

AbstractA thin shell model refers to a surface or structure, where the object’s thickness is considered negligible. In the context of 3D printing, thin shell models are characterized by having lightweight, hollow structures, and reduced material usage. Their versatility and visual appeal make them popular in various fields, such as cloth simulation, character skinning, and for thin-walled structures like leaves, paper, or metal sheets. Nevertheless, optimization of thin shell models without external support remains a challenge due to their minimal interior operational space. For the same reasons, hollowing methods are also unsuitable for this task. In fact, thin shell modulation methods are required to preserve the visual appearance of a two-sided surface which further constrain the problem space. In this paper, we introduce a new visual disparity metric tailored for shell models, integrating local details and global shape attributes in terms of visual perception. Our method modulates thin shell models using global deformations and local thickening while accounting for visual saliency, stability, and structural integrity. Thereby, thin shell models such as bas-reliefs, hollow shapes, and cloth can be stabilized to stand in arbitrary orientations, making them ideal for 3D printing.
Association between social jetlag and weight and fat reduction in dieting
Authors: Minabe Kai , Shimura Akiyoshi , Sugiura Ko , Hino Hiroko , Akatsuka Yusaku , Seto Takeshi , Yanai Miho , Masuya Jiro , Tamada Yu , Inoue Takeshi 
Published: June 2024

AbstractObjectives: Social jetlag (SJL), the discrepancy between an individual’s inherent circadian rhythm and external social schedule, is associated with obesity. This study aimed to investigate whether SJL also influences body weight and body fat loss during dieting. Methods: This was an observational study from 2015 to 2018 with participants who had joined an exercise and nutrition program at a private personal training gym. Data from 11,829 individuals provided by the gym along with their sleep logs were analyzed. Differences in change in body mass index (BMI) and body fat percentage (%body fat) were compared by the degree of SJL. Regression was conducted for the change in BMI and %body fat on SJL, adjusted for gender, age, engagement duration in the program, initial BMI, initial %body fat, chronotype, and dietary intakes. Results: The subjects comprised 3,696 men and 8,133 women with a mean age of 40.4 years. Greater SJL was associated with a lower efficacy of BMI and %body fat reduction. The change in BMI (+ 0.56 / hour: SJL) and %body fat (+ 1.40 / hour: SJL) was associated with SJL after adjusting for each variable including dietary intake. Conclusion: SJL was associated with the effect of exercise and nutrition instruction on BMI and body fat reduction, even after adjustment for covariates related to dietary intake. Maintaining consistent sleep–wake rhythms may be crucial for enhancing the efficacy of weight loss programs.
Material Dissonances in the Post-Conflict City: Re-Presencing Social Injustice in Belfast, Northern Ireland
Authors: McAtackney Laura 
Published: June 2024

AbstractThe city of Belfast in Northern Ireland has been made and remade through cycles of violence during its 400-year “history.” The most recent manifestation of violent conflict associated with the city was a low-level civil war euphemistically known as “the Troubles” (ca. 1968–ca. 1998). Alongside the enduring markers of bombings, civil unrest, and attempts to police and disrupt them, presences and absences can also be assigned to forced and facilitated movements of communities, the “planned violence” (O’Neill 2018) of road-building schemes, and what were designated at the time as “slum clearances.” But there have been attempts to disrupt—and reinsert—attempted erasures of conflict when associated with enduring social injustices. This article will examine a site associated with the bombing of McGurk's Bar in 1971 to reveal how the material memory of the past has been “re-presenced” to disrupt attempts to disappear sectarian violence as a form of activism in the contemporary.
Hybrid Nonlinear Model Predictive Motion Control of a Heavy-duty Bionic Caterpillar-like Robot
Authors: Li Dongyi , Lu Kun , Cheng Yong , Wu Huapeng , Handroos Heikki , Yang Songzhu , Zhang Yu , Pan Hongtao 
Published: June 2024

AbstractThis paper investigates the motion control of the heavy-duty Bionic Caterpillar-like Robot (BCR) for the maintenance of the China Fusion Engineering Test Reactor (CFETR). Initially, a comprehensive nonlinear mathematical model for the BCR system is formulated using a physics-based approach. The nonlinear components of the model are compensated through nonlinear feedback linearization. Subsequently, a fuzzy-based regulator is employed to enhance the receding horizon optimization process for achieving optimal results. A Deep Neural Network (DNN) is trained to address disturbances. Consequently, a novel hybrid controller incorporating Nonlinear Model Predictive Control (NMPC), the Fuzzy Regulator (FR), and Deep Neural Network Feedforward (DNNF), named NMPC-FRDNNF is developed. Finally, the efficacy of the control system is validated through simulations and experiments. The results indicate that the Root Mean Square Error (RMSE) of the controller with FR and DNNF decreases by 33.2 and 48.9%, respectively, compared to the controller without these enhancements. This research provides a theoretical foundation and practical insights for ensuring the future highly stable, safe, and efficient maintenance of blankets.
The application for innovative methods and materials for greater sustainability in residential buildings in the UK: “a bibliometric review”
Authors: Turner Jordan , Daniel Emmanuel Itodo , Chinyio Ezekiel 
Published: June 2024

AbstractThe provision of sustainable housing should factor energy efficiency, the use of sustainable building methods and materials and address the current associated barriers. This consideration triggered an ongoing study in UK which has so far conducted a bibliometric analysis of 275 papers using the VOSviewer software. More papers have been published in the last 5 years compared to the previous 15, and the UK is less engaged in successful collaborations in comparison to other economically developed nations. The lesser use of innovation in the UK has been identified. Also, the uses of sustainable methods and materials in residential housing are not fully exploited for achieving energy efficiency. A future research direction emerging is the potential to study the combined impact of using innovative materials and methods to achieve greater energy efficiency in UK housing provision. Through technological innovations and the need to move from fossil fuels (for example, through the use of heat pumps) a new approach can move the UK closer to achieving net-zero in housing provision and operations.
A thermogravimetric analysis of residual char formation by gilsonite-filled, polyfurfuryl alcohol composites: acid treatment of gilsonite
Authors: Ghazi Shiva , Marefat Seyedlar Roghayyeh , Naderpour Navid , Imani Mohammad 
Published: June 2024

AbstractGilsonite (GLS), a natural bitumen containing a considerable amount of asphaltenes, is expected to leave heavy char after pyrolysis; however, its high potential as an efficient filler to enhance the thermal properties of composite materials is surprisingly neglected throughout the literature. On the other hand, polyfurfuryl alcohol (PFA) has attracted much attention as a thermosetting resin due to its excellent char-leaving characteristics, the renewable nature of the monomer(s), and high accessibility at an affordable cost. This study aimed to investigate the thermal stability and char-forming performance of composites made of a PFA resin matrix filled with chemically modified GLS. To modify the ash and sulfur contents of GLS, the nitric acid leaching process was performed according to a D-optimal experimental design approach. The nitric acid concentration (10, 20, and 30 wt.%), treatment time (30, 75, and 120 min), and reaction temperature (30 °C, 50 °C, and 70 °C) were set as the input variables. The morphology (SEM), chemical structure (FTIR), thermal stability (TGA), sulfur content, and ash content of the GLS particles were characterized before and after acid treatment. Thermogravimetric analysis revealed the lowest ash content for GLS after treatment with 10 wt.% acid conc. at 75 °C for 75 min. The nitric acid concentration, reaction temperature, and time were the most influential parameters for improving the ash content of GLS according to their order of appearance. In addition, the inorganic form of sulfur, pyrite, was separated through the acid leaching process. Then, the PFA resin matrix was filled with modified GLS particles at different weight percentages (5, 10, 15, and 20 wt.%) and cured in the presence of an acid catalyst. The thermal stability of the PFA resin was negatively affected by the presence of GLS, probably due to oxidation reactions and disruption of the integrity of the resin structure.
CFNAM-PG: Bridging Phonetic and Glyphic Information for Chinese Full Name and Abbreviation Matching Based on Simbert and DenseNet
Authors: Wang Dongsheng , Feng Yue , Li Jiawei , Liu Sha , Zhou Miaomiao , Zhang Diming , Li Huige 
Published: June 2024

AbstractMatching abbreviated names with their full names (full-abbr matching) plays a key role in data integration, address matching, information retrieval, and other fields. Traditional full-abbr matching technology often encounters issues related to near homophones and near homoglyphs. First, a near-homophone full-abbr matching model based on Simbert and VGG was first proposed, which integrates character and speech features, leveraging a speech recognition model and combining a brain-like cognitive learning dual-process mechanism which involves linguistic knowledge and neural network together. Second, to address the problem of near-homoglyph full-abbr matching in Chinese, a DenseNet-based model that fuses glyph structure and image features was proposed, in which statistical feature extractors are employed to extract feature vectors for glyphic features including stroke, Wubi and structural features separately. Lastly, the near-homophone model and the near-homoglyph model are coupled to work together in the full-abbr matching task, in which expert knowledge is used as a component of the feature optimizer. Experimental results showed that the integrated model significantly increased the matching accuracy to 87.5%, demonstrating a 12.3% improvement.