bluuebunny/crossref_metadata_2025_split huggingface dataset:
Is moral status done with words?
Authors: Gorr Miriam 
Published: February 2024

AbstractThis paper critically examines Coeckelbergh’s (2023) performative view of moral status. Drawing parallels to Searle’s social ontology, two key claims of the performative view are identified: (1) Making a moral status claim is equivalent to making a moral status declaration. (2) A successful declaration establishes the institutional fact that the entity has moral status. Closer examination, however, reveals flaws in both claims. The second claim faces a dilemma: individual instances of moral status declaration are likely to fail because they do not conform to established moral discourse conventions, and reliance on declarations becomes both unnecessary and implausible for explaining widespread collective recognition of moral status. As for the first claim, accepting it undermines the potential for meaningful moral disagreement. As a remedy, this paper proposed a shift in perspective: interpreting moral status claims as assertions rather than declarations. This refined perspective provides a more plausible framework for understanding moral status and avoids the pitfalls associated with the performative view.
Combinatoriality and Compositionality in Everyday Primate Skills
Authors: Gontier Nathalie 
Published: February 2024

AbstractHuman language, hominin tool production modes, and multimodal communications systems of primates and other animals are currently well-studied for how they display compositionality or combinatoriality. In all cases, the former is defined as a kind of hierarchical nesting and the latter as a lack thereof. In this article, I extend research on combinatoriality and compositionality further to investigations of everyday primate skills. Daily locomotion modes as well as behaviors associated with subsistence practices, hygiene, or body modification rely on the hierarchical nesting of different behavioral and cognitive actions into complex skills. I introduce a scheme which uses hierarchical organization to differentiate combinatorial from compositional skills. Combinatorial skills are defined either as aggregational or linearly hierarchical depending on whether the skill occurs momentarily in space or unfolds sequentially over time. Compositional skills are defined either as nested or interactionally hierarchical depending on whether the skill results in new constructs or in new interactions between existing constructs. The methodology I propose combines epistemological hierarchy theory with data from primatological field research and experimental and comparative psychological research and provides a means to integrate current constructionist and extended views on cognition and action with older research on behavioral logics in psychology and operational chain thinking in anthropology. The approach furthermore synchronizes with ongoing research on teleonomy, intentionality, and creativity.
Calibration of Static Errors and Compensation of Dynamic Errors for Cable-driven Parallel 3D Printer
Authors: Qian Sen , Jiang Xiao , Qian Pengfei , Zi Bin , Zhu Weidong 
Published: February 2024

AbstractAs rigid robots suffer from the higher inertia of their rigid links, cable-driven parallel robots (CDPRs) are more suitable for large-scale three-dimensional (3D) printing tasks due to their outstanding reconfigurability, high load-to-weight ratio, and extensive workspace. In this paper, a parallel 3D printing robot is proposed, comprising three pairs of driving cables to control the platform motion and three pairs of redundant cables to adjust the cable tension. To improve the motion accuracy of the moving platform, the static kinematic error model is established, and the error sensitivity coefficient is determined to reduce the dimensionality of the optimization function. Subsequently, the self-calibration positions are determined based on the maximum cable length error in the reachable workspace. A self-calibration method is proposed based on the genetic algorithm to solve the kinematic parameter deviations. Additionally, the dynamic errors are effectively reduced by compensating for the elastic deformation errors of the cable lengths. Furthermore, an experimental prototype is developed. The results of dynamic error compensation after the self-calibration indicate a 67.4% reduction in terms of the maximum error along the Z-axis direction. Finally, the developed prototype and proposed calibration and compensation methods are validated through the printing experiment.
Experimental investigation of compressive behavior and vibration properties of layered hybrid foam formed by aluminum foam/EPS-filled syntactic foam
Authors: Çıbıkçı Kübra Çağla , Yaman Mustafa 
Published: February 2024

AbstractHybrid foams are a type of composite material created by combining two foam materials. They are preferred in many applications due to their lightweight, high strength, and ability to absorb more energy. In this research, a new hybrid foam was designed for use in sandwich cores of structural materials. The hybrid foam was formed by combining closed-cell aluminum foam and expanded polystyrene (EPS)-filled syntactic foam. The EPS-filled syntactic foams were produced with the conventional mold casting technique. Uniaxial compressive behaviors (0.5 mm/min) of layered hybrid foams consisting of EPS-filled syntactic foam with three different densities and closed-cell aluminum foam were investigated experimentally and compared with conventional single-foamed materials. These results exhibited that in general, layered hybrid foams outperform conventional single-foamed materials in terms of compressive strength. Moreover, the natural frequency and damping ratio of the layered hybrid foams were investigated by vibration tests under clamped-free and free-free boundary conditions and compared to conventional single-foamed materials. It was established that the vibration damping capacity of the layered hybrid foams improved compared to the closed-cell aluminum foam. Additionally, the microstructure of the conventional single-foamed materials was examined by SEM. In the outcome of the research, the experimental results showed that layered hybrid foam provides an opportunity to design lightweight cellular materials with effective mechanical properties.
Savouring the Present to Better Recall the Past
Authors: Colombo Desirée , Pavani Jean-Baptiste , Quoidbach Jordi , Baños Rosa M. , Folgado-Alufre María , Botella Cristina 
Published: February 2024

AbstractSo far, there is evidence showing that the use of specific emotion regulation strategies in response to negatively-valenced stimuli shapes the way people subsequently remember them. However, still little is known about the potential effects of savouring positive events on the associated memories. The aim of the current study was to test whether upregulating positive emotions in response to daily positive events could make participants’ memories more salient and positively-valenced over time. To do so, we conducted an ecological momentary assessment study in order to identify the occurrence of positive events and provide participants with different emotion regulation strategies in real-time. To explore memory phenomenology, a surprise recall task for each event was performed one week after. Compared to the control condition, the manipulation of savouring led to recall the events with greater salience (i.e., more vivid, coherent, accessible, full of sensory details, first-person recalled memories) which, in turn, led to retrieve the memory more positively. Furthermore, the findings indicated that each strategy uniquely affected different phenomenological dimensions of memory. Together, we suggest that differences in the use of savouring strategies might impact memory, leading to the recall of events with higher salience and to the maintenance of their positivity over time.
Prompt gamma rays of terbium induced by inelastic scattering of fission neutrons
Authors: Ophoven Niklas , Ilic Zeljko , Mauerhofer Eric , Randriamalala Tsitohaina H. , Vezhlev Egor , Stieghorst Christian , Révay Zsolt , Jolie Jan , Strub Erik 
Published: February 2024

AbstractPrompt gamma rays of terbium emitted after (n,nʹγ) inelastic scattering reactions induced by irradiation of a terbium(III) hexahydrate (TbCl3·6H2O) sample with a beam of fission neutrons were investigated with the instrument FaNGaS (Fast Neutron-induced Gamma-ray Spectrometry) at an angle of 90° between neutron beam and detector. At sample position, the fast-neutron flux was 1.13 × 108 cm−2 s−1and the neutron beam has an average energy of 2.30 MeV. We identified 124 prompt gamma lines from the159Tb(n,nʹγ)159Tb reaction. Presence of prompt gamma rays from oxygen and chlorine was used for a concise verification of recently published results. Relative gamma-ray intensities, effective cross sections and fast-neutron spectrum-averaged partial production cross sections of the gamma lines are given including comparisons with available literature data. We found a reasonable agreement and the multitude of unreported lines adds decisive value to nuclear spectroscopy. Additionally, we estimated the detection limit of terbium as 1 mg for a counting time of 12 h.
Gated Fusion Adaptive Graph Neural Network for Urban Road Traffic Flow Prediction
Authors: Xiong Liyan , Yuan Xinhua , Hu Zhuyi , Huang Xiaohui , Huang Peng 
Published: February 2024

AbstractAccurate prediction of traffic flow plays an important role in maintaining traffic order and traffic safety, which is a key task in the application of intelligent transportation systems (ITS). However, the urban road network has complex dynamic spatial correlation and nonlinear temporal correlation, and achieving accurate traffic flow prediction is a highly challenging task. Traditional methods use sensors deployed on roads to construct the spatial structure of the road network and capture spatial information by graph convolution. However, they ignore that the spatial correlation between nodes is dynamically changing, and using a fixed adjacency matrix cannot reflect the real road spatial structure. To overcome these limitations, this paper proposes a new spatial-temporal deep learning model: gated fusion adaptive graph neural network (GFAGNN). GFAGNN first extracts long-term dependencies on raw data through stacking expansion causal convolution, Then the spatial features of the dynamics are learned by adaptive graph attention network and adaptive graph convolutional network respectively, Finally the fused information is passed through a lightweight channel attention to extract temporal features. The experimental results on two public data sets show that our model can effectively capture the spatiotemporal correlation in traffic flow prediction. Compared with GWNET-conv model on METR-LA dataset, the three indexes in the 60-minute task prediction improved by 2.27%,2.06% and 2.13%, respectively.
Subsurface characterization by active and passive source geophysical methods after the 06 February 2023 earthquakes in Turkey
Authors: Karslı Hakan , Babacan Ali Erden , Akın Özgenç 
Published: February 2024

AbstractTwo large earthquakes (Mw = 7.7 and Mw = 7.6) that occurred in Turkey on February 6, 2023, affected a very extent region and caused a lot of loss of life and property. This paper presents preliminary results from geophysical measurements (Seismic Refraction Tomography-SRT, Multi-Channel Surface Wave Analysis-MASW and Microtremor-MT) on eight profiles in four provinces (Kahramanmaraş, Hatay, Malatya, Gaziantep) to understand the relationship between subsurface properties and the destruction that occurs immediately after earthquakes. By analyzing the geophysical data, the dynamic-elastic properties of ground and the soil classification according to Vs30 were determined. It is generally understood that the near-surface (< ~ 10–15 m) units in the measurement areas are very loose, and the deeper ones (≥ ~ 15–20 m) have a very porous/fractured structure. Soil classes were defined as ZD (Malatya-1, Hatay-1 and Kahramanmaraş-1) and ZC (Malatya-2, Hatay-2, Gaziantep-1,2 and Kahramanmaraş-2). In addition, by evaluating the information of strong ground motion station closest to the measurement profiles, it is observed that the PGA values versus epicenter distances are higher at stations in the zone parallel to the direction of both faults than those in the perpendicular zones. This leads directivity effect in the propagation of earthquake waves. The results indicate that one of the basic reasons for the damages is that the earthquake-ground-structure relationship has not been fully and accurately reflected in building designs. Therefore, future researches involving more geophysical data and PGA values will provide more information about the structural, physical and geotechnical properties of subsurface and definitive results.
Exploring the impact of climate change on lodging establishments: a systematic literature review
Authors: Mota Luís , Leite Eduardo , Ghasemi Vahid 
Published: February 2024

Abstract
Purpose
This study aimed to identify scientific research concentrating on climate change impacts on accommodation services and examine the most relevant outputs related to management strategies due to exposure to climate change.

Methodology
It used a systematic review of the literature of scientific articles published in the Web of Science and SCOPUS. The search strings were validated by academics, who suggested adding more keywords for studying the relationship between accommodation settings and climate change. As a result, four search strings were established and identified 39 articles for qualitative analysis with MAXQDA.

Findings
Some studies asserted that corporate social responsibility is important for mitigating climate change issues. hotels work together with local businesses, enforcing the community’s adaptive capacity to climate change and supporting the need for education and training programs to understand climate change risks better. Moreover, green human resources management directly relates to the level of environmental awareness in local communities. Using air conditioning for combating heat waves consumes high amounts of energy. One option lies in energy-efficient buildings such as passive houses, using compact designs for reducing the cost of operation. Currently, hotel operations rely more on being more transparent regarding informing guests and influencing eco-friendly choices. On the other hand, there is an investment in training employees regarding good practices for energy use and management. Such action leads to accountable energy savings. Nevertheless, hotels still struggling to adapt because of their elevated energy consumption for heating, hot water, lightning, or cooling aggregates.
A case for animal reference: beyond functional reference and meaning attribution
Authors: Palazzolo Giulia 
Published: February 2024

AbstractReference is a basic feature of human language. A much debated question in the scholarship on animal communication and language evolution is whether traces of the human capacity for reference can be found in animals too. Do animals refer to things with their signals in the manner that humans do? Or is reference something that is unique to human communication? Answers to these questions have shifted significantly over the years and remain contentious. In this paper, I start by reconstructing and critically analysing three influential discussions of the ways in which animal signals refer: the theory of functional reference (Marler, Evans and Hauser, 1992), Wheeler and Fischer (2012)’s meaning attribution framework, and Scarantino (2013)’s revised definition of functional reference. I show that functional reference, both in its traditional and revised version, as well as the meaning attribution framework, fail to adequately characterise animal reference as an evolutionary precursor of linguistic reference. This is because they all overlook at least some aspects of the psychology of signal production. Nonetheless, drawing on Crockford et al. (2012, 2017), I show that we can plausibly interpret chimpanzees’ alert hoos as a case of intentional, human-like animal reference.
Seed-specific expression of porcine verotoxigenic Escherichia coli antigens in tobacco plants as a potential model of edible vaccines
Authors: Reggi Serena , Dell’Anno Matteo , Baldi Antonella , Rossi Luciana 
Published: February 2024

AbstractVaccines can reduce the use of antibiotics by preventing specific infective diseases in pigs. Plant-based edible vaccines are particularly attractive because, upon oral ingestion via feed, they can elicit the local immune system against a foreign disease-causing organism. The aim of this study was to engineer two different independent lines of tobacco plants for the seed-specific expression of immunogenic proteins of VTEC as a model of an edible vaccine. For each antigen, fifty Nicotiana tabacum L. cv Xanthi leaf disks were transformed by agroinfection for the seed-specific expression of the structural parts of the fimbrial subunit FedF of F18 and the B-subunit of Vt2e genes. The synthetic genes, optimized by the codon adaptation index for their expression in tobacco, were inserted into expression cassettes under the control of β-conglycinin promoter. Regenerated tobacco plants (T0) were characterized by molecular and immunoenzymatic techniques. Our results showed that both FedF and Vt2eB genes were integrated into tobacco genome efficiently (> 80%) and they are also maintained in the second generation (T1). Western blotting analyses carried out on the positive producing lines, showed the tissue-specific expression in seeds and the temporal protein accumulation in the mid-late maturation phases. The enzyme-linked immunosorbent assay showed seed expression levels of 0.09 to 0.29% (from 138 to 444 µg/g of seeds) and 0.21 to 0.43% (from 321 to 658 µg/g of seeds) of total soluble protein for the FedF and Vt2eB antigens, respectively. This study confirmed the seed-specific expression of the selected antigens in plant seeds. The expression level is suitable for seed-based edible vaccination systems, which could represent a cost-effective way to prevent VTEC infection. Our findings encourage further in vivo studies focused on the activation of the local immune response.
Assessment and comparison of thermochemical pathways for the rice residues valorization: pyrolysis and gasification
Authors: Quintero-Naucil Myriam , Salcedo-Mendoza Jairo , Solarte-Toro Juan Camilo , Aristizábal-Marulanda Valentina 
Published: February 2024

AbstractLignocellulosic biomass conversion applying thermochemical routes has been postulated as an alternative for generating renewable energy. This research compares energy-driven biorefineries based on two thermochemical routes addressed to upgrade rice husk and rice straw produced in the Department of Sucre-Colombia. Initially, this research analyzes the physico-chemical and structural characterization of the rice residues. Four different scenarios were proposed to compare the energy-driven biorefineries based on fast pyrolysis and gasification considering technical, economic, and environmental metrics. These biorefineries were simulated using the Aspen Plus V.14.0 software. The novelty of this research is focused on the identification of the biorefinery with the best techno-economic, energetic, and environmental performance in the Colombian context. Economic and environmental analyses were done by using economic metrics and emissions. From an economic perspective, the stand-alone gasification process did not have a positive economic margin. In contrast, the fast pyrolysis process has the best economic performance since this process has a positive profit margin. Indeed, scenario 1 (fast pyrolysis of both rice residues) presented an economic margin of 13.75% and emissions of 2170.92 kgCO2eq/kg for 10 years. However, this scenario was not energetically the best, holding second place due to the feedstock requirements, compared to gasification. The biorefinery scenario 1 has the best performance.
Polymer Metallization by Cold Spray Deposition of Polyamide-Copper Composite Coatings
Authors: Aghasibeig Maniya , Benhalima Abdelkader , Yu Kintak Raymond 
Published: February 2024

AbstractCold spray metallization of polymers is a promising surface engineering technique that enables the deposition of metal coatings onto polymer substrates at low process temperatures, resulting in improved surface properties, thus enhanced functionality of the polymeric material. However, deposition of well-adhering metallic coatings without causing surface damage to the polymer substrate is still a challenge. In this work, copper-polyamide composite coatings with different copper concentrations between 30 and 75 vol.% in the starting powders were deposited on polyamide substrates using a low-pressure cold spray system with two nozzle geometries of short and long diverging sections. The spray parameters were first developed for the deposition of polyamide powder (at gas temperature of 260 °C and gas pressures ranging from 0.41 to 1.37 MPa), and then used to spray the composite powder mixtures where the polyamide particles were acting as a binder for copper particles. Inflight and impact particle characteristics (velocity and temperature) of the polyamide powder were simulated to better understand the deposition properties. Considering that the selected conditions were suboptimal for the deposition of copper particles, no surface damage was caused as no penetration of the copper particles into the polymer substrate occurred. The results show that increasing the copper content in the powder mixtures significantly improved the resulting coating uniformity and the retained copper content. In addition, the coating deposited by spraying the powder mixture with a higher copper content of 75 vol.% and using the longer nozzle yielded the highest cohesion strength. To further improve coatings cohesion, two post-spray processing methods of furnace heating and hot pressing were used, and the effect of each process on coatings properties was investigated.Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). Given name: [Kintak Raymond] Last name [Yu]. Also, kindly confirm the details in the metadata are correct.The author names are now correct: Kintak Raymond given name and Yu last name
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Understanding corporate entrepreneurship in the digital age: a review and research agenda
Authors: D’Angelo Stefano , Cavallo Angelo , Ghezzi Antonio , Di Lorenzo Francesco 
Published: February 2024

AbstractIn a digital world increasingly characterized by new business opportunities and challenges driven by the proliferation of pervasive digital technologies, companies are more than ever called to act entrepreneurially. This scenario has raised important questions at the intersection of corporate entrepreneurship (CE) and digital technologies, as we currently lack a comprehensive understanding on the implications of digital technologies in CE strategy, related antecedents, processes, and outcomes. To fill this gap, our study takes stock of the extant literature on CE in the digital age. Through a review of 54 studies, we craft an integrative framework of CE in the digital age, articulated across six building blocks. Building on the proposed framework, we elaborate a research agenda for future research.