bluuebunny/crossref_metadata_2025_split huggingface dataset:
My museum: A study of pre-service social studies teachers’ experience in designing virtual museums
Authors: Kayaalp Fatih , Namlı Zeynep Başcı , Meral Elif 
Published: June 2024

AbstractThis study aims to reveal pre-service teachers’ experience in virtual museum design that they can use in social studies teaching, and their opinions on virtual museum applications. In line with this purpose, phenomenology design was used as one of the qualitative research approaches. Selected by the criterion sampling method, the study sample consisted of a total of 15 pre-service social studies teachers (9 female, 6 male) who were studying in year 4 at the Department of Social Studies Education of a State University in the 2021/22 academic year. During the 9-week virtual museum design process, virtual museums on “epidemics, women’s rights, population, environmental problems, climate, human rights, and migration” were designed through the Artsteps application. The study was executed in a dynamic manner in co-operation and interaction with pre-service teachers based on the principles of design, implementation and evaluation. A semi-structured interview form was used as a data collection tool to determine the opinions of pre-service teachers about virtual museums and the use of virtual museums in social studies teaching. The data was analysed by content analysis. The results revealed that the virtual museum design process positively affected the views of pre-service teachers and that virtual museums are very effective and applicable tools in social studies teaching. This study suggests that virtual museums be used in social studies courses since they offer rich content to achieve meaningful learning in social studies courses owing to easy accessibility, and that future studies focus on examining the effects of popularizing virtual museums designed with gamification and guided content.
Distraction, multitasking and self-regulation inside university classroom
Authors: Deng Liping , Zhou Yujie , Broadbent Jaclyn 
Published: June 2024

AbstractAs digital devices become ubiquitous in learning contexts, they have become the main source of distraction that leads to distractive multitasking. This underscores the growing importance of self-regulated learning as a means of combating distraction and persisting in learning. This study aims to bridge the perspectives of self-regulation and distractive multitasking in academic settings to gain a comprehensive understanding of how distractions from various sources induce multitasking and how students employ self-regulation strategies to manage distractions during class time. A framework was constructed to explore internal and external distractions that account for distractive multitasking and self-regulation strategies for coping with distractions. A mixed-method design was adopted to collect data from three Chinese universities. The results show that distractive multitasking can be induced by cognitive, emotional, and behavioral conditions and external factors concerning physical, social, and technological contexts. Further, students’ multitasking behaviors and implementation of self-regulated learning strategies are changeable depending on their motivation and the perceived value of the ongoing course. Our study also illuminates a range of self-regulated learning strategies that involve minimizing distractions during the planning phase and monitoring and combating distractions during class.
Soil organic carbon exchange due to the change in land use
Authors: Başaran Nermin , Akdogan Cinal Gamze , Eroglu Engin 
Published: June 2024

AbstractThis study analyses the decrease in soil organic carbon (SOC) stocks due to changes in land use following the earthquake in Düzce, Turkey, 1999. The primary objective of the study is to determine the changes in land use within Düzce and to provide a multi-dimensional approach to the spatial and quantitative distributions of SOC losses. Corine Land Use- Land Cover (LULC) within the study is used to determine the change in land use. The loss of LULC and carbon stocks were identified by means of LULC with transfer matrix method and GIS-based analysis. The study of land-use change caused by urbanisation and agricultural activity shows that the limited green spaces around the urban core created by degrading natural areas do not compensate for the loss of SOC. SOC stocks decline after the land use changes from agricultural regions to artificial areas (− 5%), Natural- Semi-natural (N-SN) regions to artificial areas (− 15%), N-SN areas to agricultural areas (− 20.9%) and agricultural areas to water bodies (− 9%), and SOC stocks increase after land use changes from artificial areas to N-SN areas (+ 29.6%), artificial areas to agricultural areas (+ 8%), agricultural areas to N-SN areas (+ 25%). However, in some agricultural areas, SOC stocks are similar to semi-natural and natural areas. For instance, in sparsely vegetated areas, SOC stocks from fruit and berry plantations may be poor. Although it is generally assumed that SOC loss can occur on land transformed from natural areas, this rule of thumb may be revised in some particular circumstances. Therefore, local ecological restoration decisions should not be based on land cover generalisations.
Heavy metal and metalloid concentrations in red deer (Cervus elaphus) and their human health implications from One Health perspective
Authors: Jota Baptista Catarina , Seixas Fernanda , Gonzalo-Orden José M. , Patinha Carla , Pato Pedro , Ferreira da Silva Eduardo , Fernandes Gilberto , Oliveira Paula A. 
Published: June 2024

AbstractThe red deer is an ungulate and large game species. The contamination of the ecosystems by metal(loid)s may lead to the exposure of animals (as well as humans) through water and food resources. The direct contact of hunters and wild animal meat consumers with deer carcasses may be a potential contaminant source. This study aimed to determine the metal(loid)s’ concentrations in the liver and kidney of red deer from two regions of Portugal (Idanha-a-Nova and Lousã), and to relate these with histopathologic lesions. Thirteen young male deer were submitted to metal(loid) determination (As, Cd, Co, Cr, Cu, Pb, and Zn) by inductively coupled plasma mass spectrophotometry (ICP-MS) and histopathology examination. Renal Cd (8.072 ± 5.766 mg/kg dw) and hepatic Pb (3.824 ± 6.098 mg/kg dw) mean values were high, considering the maximum values for consumption established by the European Commission. The hepatic mean value of Cu was significantly higher in Idanha-a-Nova (150.059 ± 33.321 mg/kg dw), and it is at the Cu toxicity limit considered for ruminants (150 mg/kg). The pollution induced by Panasqueira mines (Castelo Branco) may be a possible explanation for some of the findings, especially the higher values of hepatic Cu and Pb found in Idanha-a-Nova deer. These results have high importance under a One Health perspective, since they have implications in public health, and pose at risk the imbalance of animal populations and ecosystems.
Natural peloids originating from subsea depths of 200 m in the hupo basin, South Korea: physicochemical properties for potential pelotherapy applications
Authors: Park Changyun , Kim Jae-Hwan , Choi Woohyun , Kim Daeyoung , No Sang-Gun , Chung Donghoon , Lee Hae-in , Seo Seungbin , Seo Sung Man 
Published: June 2024

AbstractThe present study firstly reports surface sediment from the subsea depth of 200 m as a potential natural peloid. The fine-silt sediment exhibited a consistent clay mineral composition dominated by illite, chlorite, kaolinite, and diatomite. The most abundant clay mineral was illite/mica, with other minerals loosely packed in a face-to-face orientation. The thermal conductivity, specific heat capacity, and cation-exchange capacity of the sediment were in the range 0.855–0.885 W/m K, 2.718–2.821 J/g °C, and 23.06–32.96 cmol/kg, respectively. The concentrations of most toxic elements in the sediment were considerably lower than the limits set by domestic cosmetic regulations and other international standards. The analyzed samples exhibited similar properties to those of previously reported peloids, thus making them suitable for use in the field of pelotherapy; furthermore, the consistency in data across a wide peloid-distribution area is expected to enable economically viable mining. Future investigations should aim to to evaluate the long-term effects on the skin, the bioavailability of potentially hazardous substances, and the therapeutic efficacy for various skin conditions.
Exploring Rare Earth Element behavior in the Mount Etna volcanic aquifers (Sicily)
Authors: Dominech Salvatore , Federico Cinzia , Brusca Lorenzo , Fornasaro Silvia , Bellomo Sergio , D’Alessandro Walter 
Published: June 2024

AbstractThis study presents the first data on REY (Rare Earth Elements plus Yttrium) in the aquifer of Mount Etna (Sicily, Italy). Patterns normalized to chondrites indicate strong water–rock interaction, facilitated by a slightly acidic pH resulting from the dissolution of magma-derived CO2. REY patterns provide insights into the processes of both mineral dissolution and the formation of secondary phases. The relative abundance of light to heavy rare earth elements is compatible with the prevailing dissolution of ferromagnesian minerals (e.g., olivine or clinopyroxenes), reinforced by its strong correlation with other proxies of mineral dissolution (e.g., Mg contents). Pronounced negative Ce anomalies and positive Y anomalies demonstrate an oxidizing environment with continuous formation of secondary iron and/or manganese oxides and hydroxides. The Y/Ho fractionation is strongly influenced by metal complexation with bicarbonate complexes, a common process in C-rich waters. In the studied system, the measured REY contents are always below the limits proposed by Sneller et al. (2000, RIVM report, Issue 601,501, p. 66) for surface water and ensure a very low daily intake from drinking water.
Challenges, adaptations, and fringe benefits of conducting software engineering research with human participants during the COVID-19 pandemic
Authors: Madugalla Anuradha , Kanij Tanjila , Hoda Rashina , Hidellaarachchi Dulaji , Pant Aastha , Ferdousi Samia , Grundy John 
Published: June 2024

AbstractThe COVID-19 pandemic changed the way we live, work and the way we conduct research. With the restrictions of lockdowns and social distancing, various impacts were experienced by many software engineering researchers, especially whose studies depend on human participants. We conducted a mixed methods study to understand the extent of this impact. Through a detailed survey with 89 software engineering researchers working with human participants around the world and a further nine follow-up interviews, we identified the key challenges faced, the adaptations made, and the surprising fringe benefits of conducting research involving human participants during the pandemic. Our findings also revealed that in retrospect, many researchers did not wish to revert to the old ways of conducting human-orienfted research. Based on our analysis and insights, we share recommendations on how to conduct remote studies with human participants effectively in an increasingly hybrid world when face-to-face engagement is not possible or where remote participation is preferred.
MMFG: Multimodal-based Mutual Feature Gating 3D Object Detection
Authors: Xu Wanpeng , Fu Zhipeng 
Published: June 2024

AbstractTo address the problem that image and point cloud features are fused in a coarse fusion way and cannot achieve deep fusion, this paper proposes a multimodal 3D object detection architecture based on a mutual feature gating mechanism. First, since the feature aggregation approach based on the set abstraction layer cannot obtain fine-grained features, a point-based self-attention mechanism module is designed. This module is added to the extraction branch of point cloud features to achieve fine-grained feature aggregation while maintaining accurate location information. Second, a new gating mechanism is designed for the deep fusion of image and point cloud. Deep fusion is achieved by mutual feature weighting between the image and the point cloud. The newly fused features are then fed into a feature refinement network to extract classification confidence and 3D target bounding boxes. Finally, a multi-scale detection architecture is proposed to obtain a more complete object shape. The location-based encoding feature algorithm is also designed to focus the interest points in the region of interest adaptively. The whole architecture shows outstanding performance on the KITTI3D and nuSenece datasets, especially at the difficult level. It shows that the framework solves the problem of low detection rates in LiDAR mode due to the low number of surface points obtained from distant objects.
A Bayesian approach to data-driven multi-stage stochastic optimization
Authors: Chen Zhiping , Ma Wentao 
Published: June 2024

AbstractAimed at sufficiently utilizing available data and prior distribution information, we introduce a data-driven Bayesian-type approach to solve multi-stage convex stochastic optimization, which can easily cope with the uncertainty about data process’s distributions and their inter-stage dependence. To unravel the properties of the proposed multi-stage Bayesian expectation optimization (BEO) problem, we establish the consistency of optimal value functions and solutions. Two kinds of algorithms are designed for the numerical solution of single-stage and multi-stage BEO problems, respectively. A queuing system and a multi-stage inventory problem are adopted to numerically demonstrate the advantages and practicality of the new framework and corresponding solution methods, compared with the usual formulations and solution methods for stochastic optimization problems.
High Energy X-Ray Source Characterization at 0.450, 3, 6, 9, and 15 MVp
Authors: Hellmann David , Liesenfelt Michael , Hayward Jason P. 
Published: June 2024

AbstractAs the availability and importance of high energy X-ray sources grows, accurate source characterizations provide critical information for field flatness corrections, beam hardening corrections, detector response corrections, and radiation shielding assessments. This study uses MCNP6.2 to create accurate high definition angular and energy dependent X-ray source definitions for the most common high energy industrial X-ray sources at 450 kVp, 3 MVp, 6 MVp, 9 MVp, and 15 MVp.
Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks
Authors: Rus Janez , Fleury Romain 
Published: June 2024

AbstractThe performance of machine learning algorithms is conditioned by the availability of training datasets, which is especially true for the field of nondestructive evaluation. Here we propose one reconfigurable specimen instead of numerous reference specimens with known, unchangeable defect properties, which are usually complicated to fabricate. It consist of a shape memory polymer foil with temperature-dependent Young’s modulus and ultrasound attenuation. This open a possibility to generate a reconfigurable defect by projecting a heating laser in the form of a short line on the specimen surface. Ultrasound is generated by a laser pulse at one fixed position and detected by a laser vibrometer at another fixed position for 64 different defect positions and 3 different configurations of the specimen. The obtained diversified datasets are used to optimize the neural network architecture for the interpretation of ultrasound signals. We study the performance of the model in cases of reduced and dissimilar training datasets. In our first study, we classify the specimen configurations with the defect position being the disturbing parameter. The model shows high performance on a dataset of signals obtained at all the defect positions, even if trained on a completely different dataset containing signals obtained at only few defect positions. In our second study, we perform precise defect localization. The model becomes robust to the changes in the specimen configuration when a reduced dataset, containing signals obtained at two different specimen configurations, is used for the training process. This work highlights the potential of the demonstrated machine learning algorithm for industrial quality control. High-volume products (simulated by a reconfigurable specimen in our work) can be rapidly tested on the production line using this single-point and contact-free laser ultrasonic method.
Modal Knowledge for Expressivists
Authors: Hawke Peter 
Published: June 2024

AbstractWhat does ‘Smith knows that it might be raining’ mean? Expressivism here faces a challenge, as its basic forms entail a pernicious type of transparency, according to which ‘Smith knows that it might be raining’ is equivalent to ‘it is consistent with everything that Smith knows that it is raining’ or ‘Smith doesn’t know that it isn’t raining’. Pernicious transparency has direct counterexamples and undermines vanilla principles of epistemic logic, such as that knowledge entails true belief and that something can be true without one knowing it might be. I re-frame the challenge in precise terms and propose a novel expressivist formal semantics that meets it by exploiting (i) the topic-sensitivity and fragmentation of knowledge and belief states and (ii) the apparent context-sensitivity of epistemic modality. The resulting form of assertibility semantics advances the state of the art for state-based bilateral semantics by combining attitude reports with context-sensitive modal claims, while evading various objectionable features. In appendices, I compare the proposed system to Beddor and Goldstein’s ‘safety semantics’ and discuss its analysis of a modal Gettier case due to Moss.
Non-local relativistic $$\delta $$-shell interactions
Authors: Heriban Lukáš , Tušek Matěj 
Published: June 2024

AbstractIn this paper, new self-adjoint realizations of the Dirac operator in dimension two and three are introduced. It is shown that they may be associated with the formal expression $$\mathcal {D}_0+|F\delta _\Sigma \rangle \langle G\delta _\Sigma |$$

D
0

+
|
F

δ
Σ

⟩
⟨
G

δ
Σ

|

, where $$\mathcal {D}_0$$

D
0

is the free Dirac operator, F and G are matrix valued coefficients, and $$\delta _\Sigma $$

δ
Σ

stands for the single layer distribution supported on a hypersurface $$\Sigma $$
Σ
, and that they can be understood as limits of the Dirac operators with scaled non-local potentials. Furthermore, their spectral properties are analysed.
The problem of sentience
Authors: Candiotto Laura 
Published: June 2024

Abstract
Sentience, as the capacity to feel pleasure and pain, is often understood as a property of an organism, and the main problem is to determine whether an organism possesses this property or not. This is not just an armchair worry. Sentient ethics grounds its normative prescriptions on sentience, so assessing if an organism possesses sentience is crucial for ethical reasoning and behaviour. Assessing if it is the case is far from simple and there is no stable agreement about it. This is the problem of sentience. In this paper, I argue that there is a problem intrinsic to the problem of sentience. I call it the “metaproblem of sentience”. I claim that the assumptions that underlie the concept of sentience are what create the “problem of sentience”. In the first part of the paper, I list and describe these assumptions and show how they create the problem of sentience in sentient ethics. In the second part, I offer enactive and pragmatist tools, namely real doubt (Peirce, In: Kloesel C (ed) Writings of Charles S. Peirce: A Chronological Edition, vol. 3. Bloomington: Indiana University Press, 1986) and loving epistemology (De jaegher, Phenomenol Cogn Sci 20:847–870. https://doi.org/10.1007/s11097-019-09634-5, 2019), for tackling the problem of sentience. I advance a participatory account of sentience and show of relevance of the transcendental argument (Weber and Varela, Phenomenol Cogn Sci, 1:97–125, 2002; Weber, Natur als Bedeutung: Versuch Einer Semiotischen Ästhetik Des Lebendigen. Königshausen & Neumann, 2003; Thompson, Mind in life: Biology, Phenomenology, and the sciences of mind. Harvard University Press, 2007) in ethical discourse. My own contribution is that the transcendental argument should be understood in a relational manner, from the experience of participatory sentience. So it is not just that life can be known only by life. Life can be cared for only by life. So, as in sentient ethics, it is out of my concern for sentient begins that I need to care for them. But, distinct from sentient ethics, may approach to participatory sentience would push to known sentience from how I care for sentient begins, from how I engage with them, from how I take part in their life. I conclude by stressing the significance of a participatory ethics of sentience.
The spectrum of cardiac abnormalities in patients with acromegaly: results from a case-control cardiac magnetic resonance study
Authors: De Alcubierre Dario , Feola Tiziana , Cozzolino Alessia , Pofi Riccardo , Galea Nicola , Catalano Carlo , Auriemma Renata Simona , Pirchio Rosa , Pivonello Rosario , Isidori Andrea M. , Giannetta Elisa 
Published: June 2024

Abstract
Purpose
Cardiac abnormalities are common in patients with acromegaly, contributing to the increased morbidity and mortality. Cardiac magnetic resonance (CMR) is the gold standard for measuring cardiac morpho-functional changes. This study aims to detect cardiac alterations in acromegaly through CMR, even when the disease is adequately controlled.

Methods
In this, multicentre, case-control study, we compared consecutive patients with acromegaly, cured after surgery or requiring medical treatment, with matched controls recruited among patients harbouring non-functioning adrenal incidentalomas.

Results
We included 20 patients with acromegaly (7 females, mean age 50 years) and 17 controls. Indexed left ventricular-end-diastolic volume (LV-EDVi) and LV-end-systolic volume (LV-ESVi) were higher in patients than in controls (p < 0.001), as were left ventricular mass (LVMi) (p = 0.001) and LV-stroke volume (LV-SVi) (p = 0.028). Right ventricle (RV) EDVi and ESVi were higher, whereas RV-ejection fraction (RV-EF) was lower (p = 0.002) in patients than in controls (p < 0.001). No significant differences were observed in the prevalence of cardiometabolic comorbidities, including hypertension, glucose and lipid metabolism impairment, obstructive sleep apnoea syndrome, and obesity. IGF1 x upper limit of normal significantly predicted LVMi (b = 0.575; p = 0.008). Subgroup analysis showed higher LVMi (p = 0.025) and interventricular septum thickness (p = 0.003) in male than female patients, even after adjusting cardiac parameters for confounding factors.

Conclusions
The CMR analysis reveals a cluster of biventricular structural and functional impairment in acromegaly, even when the biochemical control if achieved. These findings appear specifically triggered by the exposure to GH-IGF1 excess and show sex-related differences advocating a possible interaction with sex hormones in cardiac disease progression.