bluuebunny/crossref_metadata_2025_split huggingface dataset:
Aesthetic experiences with others: an enactive account
Authors: Drummond Harry 
Published: July 2024

AbstractWe can look at paintings, listen to music, dance, play instruments, and watch movies, on our own almost anytime, anywhere. That is, we have effortless, on-demand access to an abundance of private aesthetic experiences. Why, then, do we seek out aesthetic experiences together? Indeed, it is not controversial to claim that listening to music, dancing, and watching films are activities that we do together more so than we do on our own. While the significance of interpersonal aesthetic experiences, and what explains that significance, is not uncharted territory, I claim that more precision regarding the kinds of relations and interactions that modulate and enable different kinds of interpersonal aesthetic experiences is warranted than is offered in extant literature. As such, an enactive approach that not only foregrounds embodiment and intersubjectivity in cognition, but duly explains how variations in them cause variations in cognition, is paramount to my explanation. Here, then, I marshal three ‘varieties’ of interpersonal aesthetic experience that I term aggregative, synchronised, and shared aesthetic experiences. In doing so, I explain what makes them particularly worthwhile, while introducing terminological and explanatory clarity to the literature as a unifying base from which future research can unfold.
Insect herbivory on Acer rubrum varies across income and urbanization gradients in the D.C. metropolitan area
Authors: Blake Elizabeth , Bennett Shelley , Hruska Amy , Komatsu Kimberly J 
Published: July 2024

AbstractUrbanization has increased wealth disparity within the United States, impacting the urban landscape and species interactions. In particular, the interactions between street trees and the arthropod communities that live among them may be modified by both human population densities across urban to suburban locations, as well as income levels within these areas. We examined the effect of land use type (urban vs. suburban) and median household income on variation in leaf damage and arthropod abundance of red maples (Acer rubrum) in the District of Columbia metropolitan region. We compared these levels of leaf damage to rates observed in a nearby temperate deciduous forest. We predicted leaf damage would be positively correlated with urbanization (forested < suburban < urban) and negatively correlated with neighborhood income level (low > medium > high). Instead, we observed higher levels of leaf damage on trees in the forest environment compared to the urban and suburban areas. Leaves from urban medium and high-income areas were less likely to exhibit herbivore damage than those from suburban areas. Of the leaves with damage, those in urban high-income and suburban low-income areas exhibited the most leaf area missing. These trends may be related to specific factors associated with urbanization and income level, such as impervious surface coverage and tree coverage. This study highlights differences in biotic interactions across individual neighborhoods and the importance of including socio-economic variables when examining species interactions in urban environments.
Biological aging of different blood cell types
Authors: Marttila Saara , Rajić Sonja , Ciantar Joanna , Mak Jonathan K. L. , Junttila Ilkka S. , Kummola Laura , Hägg Sara , Raitoharju Emma , Kananen Laura 
Published: July 2024

AbstractBiological age (BA) captures detrimental age-related changes. The best-known and most-used BA indicators include DNA methylation–based epigenetic clocks and telomere length (TL). The most common biological sample material for epidemiological aging studies, whole blood, is composed of different cell types. We aimed to compare differences in BAs between blood cell types and assessed the BA indicators’ cell type-specific associations with chronological age (CA). An analysis of DNA methylation–based BA indicators, including TL, methylation level at cg16867657 in ELOVL2, as well as the Hannum, Horvath, DNAmPhenoAge, and DunedinPACE epigenetic clocks, was performed on 428 biological samples of 12 blood cell types. BA values were different in the majority of the pairwise comparisons between cell types, as well as in comparison to whole blood (p < 0.05). DNAmPhenoAge showed the largest cell type differences, up to 44.5 years and DNA methylation-based TL showed the lowest differences. T cells generally had the "youngest" BA values, with differences across subsets, whereas monocytes had the "oldest" values. All BA indicators, except DunedinPACE, strongly correlated with CA within a cell type. Some differences such as DNAmPhenoAge-difference between naïve CD4 + T cells and monocytes were constant regardless of the blood donor's CA (range 20–80 years), while for DunedinPACE they were not. In conclusion, DNA methylation–based indicators of BA exhibit cell type–specific characteristics. Our results have implications for understanding the molecular mechanisms underlying epigenetic clocks and underscore the importance of considering cell composition when utilizing them as indicators for the success of aging interventions.
Knowledge based interventions for sustainable development cooperation: insights from knowledge systems mapping in Zambia
Authors: Suchá L. , Dušková L. , Leventon J. , Seidlová A. , Bubák Š. , Harmáčková Z. V. 
Published: July 2024

AbstractKnowledge is an essential determinant and component of the international development cooperation agenda and projects. Therefore, it is vital to understand and reflect on how knowledge in international development cooperation is created, what knowledge counts, and how it influences the planning, implementation, and outcomes of international development cooperation projects. In this paper, we critically examine the knowledge system of the development cooperation of the Czech Republic, an emerging donor country, by applying system theory and utilizing system properties as an analytical tool. To this end, we carried out a multi-phase qualitative research with actors from the Czech Republic and Zambia. Subsequently, we analysed the knowledge system properties and identified those often overlooked by development actors, such as taboos, mistrust, and development burden, revealing how knowledge flows can be obstructed by these characteristics. In addition, we compiled a set of suitable interventions to tackle the overlooked system properties and foster knowledge cross-fertilisation. These interventions include, among others, active engagement of traditional leaders, active work with narratives of success, and introducing action-reflection-reaction cycle into the development practice. Furthermore, the proposed interventions clearly emphasize the need for more collaborative and transdisciplinary processes. Finally, we discuss that it is essential to uncover deep layers of the international development cooperation knowledge system to shift and leverage it towards more inclusive and just outcomes.
Effect of Citrate-Based Bath pH on Properties of Electrodeposited Cu–Zn Coating on an Aluminum Substrate
Authors: Özdemİr Rasİm , Ünal Ersİn , Karahan İsmaİl Hakkı 
Published: July 2024

AbstractIn this study, Cu–Zn alloys were deposited in citrate-based electrolytes on aluminum substrate by electrodeposition method. The effect of bath pH variation on the properties of the obtained Cu–Zn alloy coatings was investigated. The electrochemical behavior of the citrate-based baths and the crystalline structure, surface morphology and elemental content, electrical resistivity and thermal behavior of the alloy coatings were analyzed. According to the results of cyclic voltammetry (CV) analysis, increasing bath pH caused a negative shift in the cathodic deposition potential. In addition, the anodic dissolution peaks first shifted to the positive side with increasing pH and then shifted back to the negative direction. According to the results of XRD analysis, the phase structure of Cu–Zn alloys generally consists of α and β′ phases, but according to differential scanning calorimeter (DSC) analysis, it is possible that there is a γ phase in the structure in addition to these phases. In addition, pH increase (4.5 to 6.5) caused a relative increase in crystal grain size (~14 to ~ 25 nm). The Zn content of Cu–Zn coatings first increased (~pct 15 to ~ pct 55) with pH increase, then followed a horizontal trend (~pct 55 to ~ pct 59) with further pH increase and then exhibited a slight decreasing trend (~pct 59 to ~ pct 52). The pH increase significantly affected the surface morphology of the coatings and denser coatings were obtained with increasing pH. While the electrical resistivity of Cu–Zn coatings first increased (0.0408 to 0.0696 µΩcm for 297 K) with increasing pH, it tended to decrease (0.0696 to 0.0479 µΩcm for 297 K) again at higher pH values. In addition, the electrical resistivity of the coatings increased with increasing measurement temperature. According to DSC analysis of the coatings, endothermic peaks were obtained, possibly representing the transformation from γ to β′ phase.
Graphical Abstract
Toward a Cultural Psychology of Conspiracy Theories: A life-narrative analysis of Flat Earthers
Authors: Pahuus Kirstine , Jørgensen Maja Sødinge , Wagoner Brady 
Published: July 2024

AbstractWhile the idea of a flat earth may seem absurd in the twenty-first century, there is today a large and growing number of people who believe it. Who are these people and what animates their belief? In answering these questions, this article aims to articulate a cultural psychological approach to conspiracy theories. This is advanced through an in-depth narrative analysis of three individuals' life stories concerning before, during, and after the transition to the new belief. Thus, rather than starting from the typical look at what socio-demographic factors predict conspiracy beliefs, we start from a nuanced look at flat earth believers' own life worlds. We show how different individual motives (epistemological, social and existential) and knowledge systems (scientific, religious, societal) come together in individuals’ adoption and reconstruction of conspiracy theories so that they resonate with believers’ personal lives. Most importantly, flat earth theory offers people a comprehensive vision that places human beings at the center of the universe and provides arguments for how life is meaningful. However, we show that this is reached through different pathways in accordance with people's unique life histories and challenges.
Tubarial salivary glands show a low relative contribution to functional salivary gland tissue mass
Authors: Ling Sui wai , van der Veldt Astrid , Segbers Marcel , Luiting Henk , Brabander Tessa , Verburg Frederik 
Published: July 2024

Abstract
Background
In 2021, the tubarial salivary glands (TSGs) were newly identified on prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) as macroscopic glands in the nasopharyngeal wall. However, the relative contribution of the TSGs to the total salivary gland function, and consequently on the development of xerostomia after external beam radiotherapy (EBRT) or PSMA-targeted radionuclide therapy (RNT) is not known. Therefore, we aimed to determine the presence of the TSGs and to quantify uptake in the TSGs on PSMA PET.

Methods
Qualitative and quantitative analyses were performed on 68Ga-PSMA-11 PET/CT scans of 100 patients with prostate cancer. The mean and maximum standardized uptake value (SUVmean and SUVmax) in the TSGs were measured and compared to the parotid, submandibular and sublingual salivary glands (PSGs, SMSGs and SLSGs, respectively). Furthermore, proportional function of the TSGs was compared to the PSGs, SMSGs and SLSGs based on the total organ PSMA (TO-PSMA).

Results
The TSGs were visible on 95% of the 68Ga-PSMA-11 PET/CT scans. The normalized median SUVmean and SUVmax was significantly higher for the PSGs (p < 0.001) and SMSGs (p < 0.001) compared to the TSGs, but not for the SLSGs (p = 0.242 and p = 0.300, respectively). The normalized median TO-PSMA was significantly higher for the PSGs (p < 0.001) and SMSGs (p < 0.001), and significant lower for the SLSGs (p < 0.001) compared the TSGs.

Conclusions
The SUVmean, SUVmax and TO-PSMA of the TSGs were most comparable to the SLSGs. However, the measured PSMA uptake may be disproportional towards the saliva production. Therefore, future studies should focus on the relation between PSMA uptake and salivary function before and after PSMA therapy.
Die intersektionale Perspektive auf letale autonome Waffensysteme: Eine Analyse der Diskurse innerhalb der UN-Waffenkonvention
Authors: Gonsior Anja-Liisa 
Published: July 2024

ZusammenfassungDie UNCCW diskutiert die Regulierung autonomer Waffensysteme mit Fokus auf technische und rechtliche Fragen. Zivilgesellschaftliche Akteure und NGOs bringen zudem intersektionale Perspektiven ein. Der Beitrag untersucht, inwiefern diese Perspektiven in der UN-Debatte sichtbar werden. Innerhalb der intersektionalen Kategorien werden die Ankerbegriffe Gender und Race am meisten berücksichtigt. Die Relevanz von NGOs in der Gesamtdebatte zeigt sich daran, dass sie neue Themen einbringen, die an etablierte Diskurse anknüpfen.
Flow unit classification and characterization with emphasis on the clustering methods: a case study in a highly heterogeneous carbonate reservoir, eastern margin of Dezful Embayment, SW Iran
Authors: Homaie Mojtaba , Mahboubi Asadollah , Hartmann Dan J. , Kadkhodaie Ali , Moussavi Harami Reza 
Published: July 2024

AbstractPrevious attempts to classify flow units in Iranian carbonate reservoirs, based on porosity and permeability, have faced challenges in correlating the rock's pore size distribution with the capillary pressure profile. The innovation of this study highlights the role of clustering techniques, such as Discrete Rock Type, Probability, Global Hydraulic Element, and Winland's Standard Chart in enhancing the reservoir's rock categorization. These techniques are integrated with established flow unit classification methods. They include Lucia, FZI, FZI*, Winland R35, and the improved stratigraphic modified Lorenz plot. The research accurately links diverse pore geometries to characteristic capillary pressure profiles, addressing heterogeneity in intricate reservoirs. The findings indicate that clustering methods can identify specific flow units, but do not significantly improve their classification. The effectiveness of these techniques varies depending on the flow unit classification method employed. For instance, probability-based methods yield surpassing results for low-porosity rocks when utilizing the FZI* approach. The discrete technique generates the highest number of flow unit classes but provides the worst result. Not all clustering techniques reveal discernible advantages when integrated with the FZI method. In the second part, the study creatively suggests that rock classification can be achieved by concurrently clustering irreducible water saturation (SWIR) and porosity in unsuccessful flow unit delineation cases. The SWIR log was estimated by establishing a smart correlation between porosity and SWIR in the pay zone, where water saturation and SWIR match. Then, the estimated saturation was dispersed throughout the reservoir. Subsequently, the neural network technique was employed to cluster and propagate the three finalized flow units. This methodology is an effective recommendation when conventional flow unit methods fail. The study also investigates influential factors causing the failure of flow unit classification methods, including pore geometry, oil wettability, and saturation in heterogeneous reservoirs.
An internally and externally validated nomogram for predicting cancer-specific survival in octogenarians after radical resection for colorectal cancer
Authors: Zhu Junchang , Cen Wei , Zheng Xuzhi , Ye Chenqiao , Guo Feifan , Yan Xialin , Shi Hongying , Ye Lechi , Hu Tingting 
Published: July 2024

Abstract
Aims
We aimed to develop an elaborative nomogram that predicts cancer-specific survival (CSS) in American and Chinese octogenarians treated with radical resection for CRC.

Methods
The patient data of newly diagnosed patients aged 80 years or older who underwent radical resection for CRC from 2010 to 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database and then randomly divided into a training cohort and a validation cohort. The patients collected from our hospital were defined as the external validation cohort. Univariate and multivariate Cox regression was used to select independent predictive factors for the construction of a nomogram to predict 1-, 2- and 3-year CSS.

Results
The multivariate Cox regression model identified age, T stage, N stage, perineural invasion, chemotherapy, tumour deposits, carcinoembryonic antigen level, number of lymph node metastases, and number of solid organ metastases as independent predictors of survival. The C-index of the nomogram for 1-, 2- and 3-year CSS was 0.758, 0.762, and 0.727, respectively, demonstrating significant clinical value and substantial reliability compared to the TNM stage. The calibration curve and area under the curve also indicated considerable predictive accuracy. In addition, decision curve analysis demonstrated desirable net benefits in clinical application.

Conclusion
We constructed a nomogram for predicting the CSS of individual octogenarian patients with CRC who underwent radical resection. The nomogram performed better than the TNM staging system in this particular population and could guide clinicians in clinical follow-up and individual therapeutic plan formulation.
Pulse approach: a physics-guided machine learning model for thermal analysis in laser-based powder bed fusion of metals
Authors: Scheel Pooriya , Hosseini Ehsan 
Published: July 2024

Abstract
Fast and accurate representation of heat transfer in laser powder-bed fusion of metals (PBF-LB/M) is essential for thermo-mechanical analyses. As an example, it benefits the detection of thermal hotspots at the design stage. While traditional physics-based numerical approaches such as the finite element (FE) method are applicable to a wide variety of problems, they are computationally too expensive for PBF-LB/M due to the space- and time-discretization requirements. Alternatives are sought to lower the computational burden of modelling this process and make part-scale simulations feasible, with machine learning (ML) techniques leading these efforts due to their exceptional flexibility and efficiency. Recently, there has been a growing trend towards integrating physical insights of the studied phenomena in ML workflows to improve their effectiveness. For the presented work, we hypothesized that the moving laser heat source could be treated as a sequence of pulses such that the solution to various scan patterns could be determined based on the thermal response to a laser pulse. First, a base function represented by a feed-forward neural network (FFNN) was proposed to establish the solution for laser scanning over a wide solid block. Next, inspired by the perturbation theory, a second FFNN was introduced to consider the impact of geometrical features on the temperature profiles as a correction to the base solution. The feasibility of training the pair of FFNNs within the proposed ‘pulse approach’ framework based on a few inexpensive FE simulations, and generalization to larger simulation domains are demonstrated. For a scan pattern not encountered during training, the paired networks are capable of accurately replicating the temperature profiles or history predictions of FE simulations in under one second, showcasing a considerable acceleration by orders of magnitude. The models and scripts used in this study are openly available in https://github.com/HighTempIntegrity/PIAM_Pulse2024.
Tailored bond characteristics in additively manufactured resin bond grinding wheels: achieving optimal performance, high abrasive concentration, and cost efficiency
Authors: Barmouz Mohsen , Steinhäuser Felix , Azarhoushang Bahman 
Published: July 2024

AbstractThis research study addresses the issues with additive manufacturing of high abrasive concentration as well as highly affordable resin-bond grinding wheels. High-concentration resin bond grinding wheels are high-demand cutting tools that provide high-efficiency grinding operation for a broad range of ferrous and nonferrous metals. Adding a high concentration of abrasive grains into the blend while using high-temperature acrylic resins as a bond material has encountered some difficulties during digital light processing (DLP), such as insufficient flow of material resulting from the high inherent viscosity of the pure resin and less printability due to their dark color, which become worse by adding a high volume of abrasive grains. An engineered bond material achieved through the mechanical alloying of acrylate photopolymers with tailored properties has been discovered during this research study, taking advantage of reduced price, excellent grinding performance, and high grain concentration. The experimental grinding operations comprising medium and high material removal rates were carried out to prove the supreme properties of the SiC- and diamond-printed grinding wheels toward having high accuracy besides a high-quality finished surface. Mechanical characterization including tensile test and grinding performance examination comprising tool wear, cutting force, surface quality, and surface integrity were conducted on the printed and ground parts. The results showed that integrating 14.6 Wt% of Resin A (with higher thermal resistance and viscosity) into the wheel’s composition could contribute to the fabrication of a high-performance grinding wheel, besides having a reliable, fast, and feasible printing process. Furthermore, On-machine and out-of-machine measurements on the ground surface signified that the composition with the highest Resin B concentration (GW-H) offered up to 2 times higher mechanical properties, 33–50% lower grinding forces, 25–50% improved surface qualities, 2–3 times extended tool life span, and less interval dressing operation compared to the grinding wheel containing the lowest Resin B concentration (GW-L).
“But Never Do be Long Without Writing Us, for Altho' Many Miles Divide Us We Have Your Welfare at Heart”: An Analysis of Requests in Intimate Discourse in Irish Emigrants’ Letters (1700–1940)
Authors: Sotoca-Fernández David 
Published: July 2024

AbstractThis article concentrates on the analysis of requestive speech acts from the point of view of (im)politeness studies within the context of historical letter-writing. It draws its data from a sub-corpus of the Corpus of Irish English Correspondence (CORIECOR) containing letters written by Irish emigrants that settled in the United States and their intimates. The scope of this research is limited to intimate discourse to perform a cohesive study of the encoding of this speech act within a particular framework of usage in a particular genre. This study classifies a total of 254 requests extracted from this sub-corpus and observes the major tendencies that appear in this specific context. Results show a clear preference for the usage of impositive head act strategies (95.68% of the results). Imperatives (50.9%), want statements (27.8%), and performatives (9.8%) are the most recurrent head act strategies in this set of data. Conversely, indirect requests show a much lower number of hits (4.32%). Moreover, the data showed a preference for external modification or no modification at all. These results point towards the idea that directness might have been conventionalized as a sign of positive politeness between family members in the context of historical letter writing. Some reservations about generalizations with regards to the data are expressed and further research lines are proposed in order to establish a more solid understanding of the encoding of requestive speech acts in the context of historical letter writing.