bluuebunny/crossref_metadata_2025_split huggingface dataset:
Non-metallic decorative inlays in La Tène jewellery - contribution of archaeometry to the understanding of production technologies
Authors: Zlámalová Cílová Zuzana , Čisťakova Viktoria , Brychová Veronika , Lapčák Ladislav , Březinová Gertruda , Kmječ Tomáš , Matoušková Šárka , Čižmářová Hana 
Published: March 2024

AbstractThe study provides a detailed investigation into several representatives of La Tène jewellery. Primarily, it deals with non-metallic decorative inlays from the Late La Tène period, particularly with their application on a metal base. Unique artefacts have been selected for the study, all coming from the Czech Republic and Slovakia. A prime representative of the finds is a torc coming from a La Tène burial site in Prague (Czech Republic, Central Europe). In this geographical context, such finds are rather exceptional. The torc examined is remarkable both in terms of its origin and the production technology utilised, namely the application of decorative inlays made of red opaque glass. Available literature classifies this decorative element as an enamel technique. The highly specific type of red soda high-lead glass applied there was examined using LA-ICP-MS. Based on the trace elements detected, it can be established that the glass is most likely related to contemporary Egyptian production. Other items of the artefact set consist of two Münsingen brooches from Moravia and an exceptional brooch from Slovakia. The latter find was found to be decorated with coral (as confirmed by Raman spectroscopy). Besides identifying the materials of the decorations, we were also able to characterize the binder between individual decorative inlays and their metal base. The analysis of the binder has revealed the presence of birch tar (determined by FTIR and GC/MS). The results obtained expand the knowledge about the production technologies applied to the jewellery from the La Tène period.
The technology of polychrome glazed ceramics in Ifriqiya: new data from the site of Chimtou
Authors: Occari V. , Möller H. , Fenwick C. , Quinn P. , Freestone I. C. , Chaouali M. , von Rummel P. 
Published: March 2024

AbstractIfriqiya (roughly Tunisia and eastern Algeria) is believed to have played a significant role in the diffusion of ceramic glazed technologies into other regions of the Western Mediterranean. However, due to limited analysis on North African glazed ceramics, its role in technology transfer remains poorly understood. This paper uses SEM–EDS and petrographic analyses to understand the technology employed in the production of Tunisian ceramics through the study of 30 polychrome glazed ceramics from a medieval settlement at the site of Chimtou (ancient Simitthus), Tunisia, dated to the late ninth-twelfth century. The results show that these are lead-rich glazes with varying contents of alkalis, coloured with copper, iron and manganese oxide and applied over a calcareous body. Opaque glazes were obtained using cassiterite crystals as opacifier or by adding crushed quartz. The use of lead stannate as a colourant and opacifier in one light yellow glaze raises questions about the mechanisms of introduction of tin opacification technology in North Africa. Scrap metal seems to have been used as a source of lead for the glazes; while iron slag was probably used as a source of iron to colour the glaze in one sample, pointing to a cross-craft interaction between glazemaking and metallurgy.
Developing a Soil Salinity Model from Landsat 8 Satellite Bands Based on Advanced Machine Learning Algorithms
Authors: Elshewy Mohamed A. , Mohamed Mostafa H. A. , Refaat Mervat 
Published: March 2024

AbstractSoil salinity is a significant challenge in numerous regions across the globe, including Egypt. The potential consequences encompass negative impacts on crop yield, human well-being, and eco-logical systems. The utilization of remote sensing and machine learning techniques is increasingly becoming recognized as cost-effective methodologies for the cartographic representation of soil salinity. The present work employed Landsat 8 satellite imaging data and sophisticated machine learning techniques to delineate and assess soil salinity levels in Sharkia Governorate, Egypt. In this work, several machine learning techniques were employed to forecast the salinity values of Total Dissolved Solids (TDS) in the designated geographical region. These algorithms encompassed support vector machines (SVM), regression trees, Gaussian linear regression, and tree-based ensemble in addition to linear regression analysis. A variety of instances were generated to develop an optimal model that accurately characterizes the salinity TDS values within the study area. This was achieved by utilizing the band values extracted from the Landsat 8 satellite imagery. The approach that demonstrated the highest performance was observed when employing the Blue, Red, and shortwave infrared bands in conjunction with the SVM-Quadratic SVM model. This particular configuration yielded an R2 value of 0.86 and an RMSE value of 175.98. The findings of this work demonstrate the feasibility of precisely mapping soil salinity through the utilization of Landsat 8 satellite imaging data and machine learning techniques. The provided data can be utilized to identify regions characterized by elevated levels of soil salinity, as well as for the formulation of effective approaches aimed at addressing this issue.
Can AnatomicalTerms.info with its synonyms and succinct open definitions be a solution to address variations in usage of anatomical terminology?
Authors: Gobée O. Paul , Sulaiman Sara , Boaz Noel T. , Mork Amy Lovejoy , Whitmore Ian 
Published: March 2024

AbstractAnatomy, the study of human structure, is foundational to medicine. Its language has a long history, with contributions from authors hailing from diverse cultures and countries, adhering to various scientific traditions, speaking different languages, and practicing medicine across a wide gamut of specialties. The resultant disparity in terms provides challenges both for students in learning and for interdisciplinary communication. We report here on a user-friendly look-up web site, “AnatomicalTerms.info” that links aTerminologica Anatomicaterm to alternative terms in usage: synonyms, polysemes, eponyms, homonyms, and terms in other languages. Accompanying open-source definitions are generated with the help of “Definition Machine” software, that supports creating the most concise and accessible definitions for anatomical terms, eschewing superfluous description, thus reducing cognitive load of learners of anatomy looking up terms. AnatomicalTerms.info is a readily accessible online source for both the authoritative and alternatively used terms that can accurately cross-reference and/or disambiguate anatomical structures across disciplinary and cultural divides. As such, it can serve as a useful educational and clinical resource that is also flexibly open to additions and expansion as anatomical and clinical needs dictate.
Positioning theory as a framework for understanding the facilitation of professional development for educational leaders
Authors: Martin Jenny , Nuttall Joce , Wood Elizabeth , Henderson Linda 
Published: March 2024

Abstract
The article addresses the problem of providing in-service education within government-led reform initiatives yet enhancing professionalism in the Early Childhood Education and Care sector. The study was conducted during policy-mandated reform in Australia to investigate effective ways to support educational leaders in centres rated as not meeting the national quality standard. Data were derived from a larger project designed as a formative intervention and funded by the Australian Research Council. In this article, we focus on the positioning of the educational leaders over the course of the intervention as they endeavoured to develop workplace practices. We found that the participants’ status as leaders of low-rated centres was featured in the way they positioned themselves initially. How the researchers responded has been highlighted in our analysis and, we argue, repositioning these participants as professionally capable and responsible was essential to the success of the intervention for them. This article contributes an original methodological approach to researching individual learning within the collective processes of workplace practice development and provides an understanding of the reform process from the perspective of ‘working-towards’ educational leaders.
Helicoidal minimal surfaces in the 3-sphere: an approach via spherical curves
Authors: Castro Ildefonso , Castro-Infantes Ildefonso , Castro-Infantes Jesús 
Published: March 2024

AbstractWe prove an existence and uniqueness theorem about spherical helicoidal (in particular, rotational) surfaces with prescribed mean or Gaussian curvature in terms of a continuous function depending on the distance to its axis. As an application in the case of vanishing mean curvature, it is shown that the well-known conjugation between the belicoid and the catenoid in Euclidean three-space extends naturally to the 3-sphere to their spherical versions and determine in a quite explicit way their associated surfaces in the sense of Lawson. As a key tool, we use the notion of spherical angular momentum of the spherical curves that play the role of profile curves of the minimal helicoidal surfaces in the 3-sphere.
A deep multi-branch attention model for histopathological breast cancer image classification
Authors: Ding Rui , Zhou Xiaoping , Tan Dayu , Su Yansen , Jiang Chao , Yu Guo , Zheng Chunhou 
Published: March 2024

AbstractSince the impressive superior performance demonstrated by deep learning methods is widely used in histopathological image analysis and diagnosis, existing work cannot fully extract the information in the breast cancer images due to the limited high resolution of histopathological images. In this study, we construct a novel intermediate layer structure that fully extracts feature information and name it DMBANet, which can extract as much feature information as possible from the input image by up-dimensioning the intermediate convolutional layers to improve the performance of the network. Furthermore, we employ the depth-separable convolution method on the Spindle Structure by decoupling the intermediate convolutional layers and convolving them separately, to significantly reduce the number of parameters and computation of the Spindle Structure and improve the overall network operation speed. We also design the Spindle Structure as a multi-branch model and add different attention mechanisms to different branches. Spindle Structure can effectively improve the performance of the network, the branches with added attention can extract richer and more focused feature information, and the branch with residual connections can minimize the degradation phenomenon in our network and speed up network optimization. The comprehensive experiment shows the superior performance of DMBANet compared to the state-of-the-art method, achieving about 98% classification accuracy, which is better than existing methods. The code is available at https://github.com/Nagi-Dr/DMBANet-main.
The Optimization of Split Demand Route Planning Under Metro-Truck Collaborative Distribution
Authors: Li Jin , Wang Yaqiu , Liu Huasheng 
Published: March 2024

AbstractWith the evolution of people's consumption habits and the rapid growth of urban logistics, the number of trucks and delivery frequency has increased significantly, exacerbating urban traffic congestion and environmental pollution. Consequently, there is an urgent need to improve the current inefficient and highly polluted distribution mode. Currently, in most cities in China, the metro passenger flow is insufficient, and the capacity is excessive during off-peak hours, resulting in underutilized carriage capacity. The integration of surface and underground transport resources can effectively address these issues and facilitate complementary advantages and win–win cooperation between express companies and metro enterprises. This study proposes an innovative problem of split demand route planning in the cooperative distribution system involving express companies and subways. A cooperative distribution model is developed to minimize the total cost, and solved by the Cuckoo Search algorithm to obtain the optimized solution. The model is applied to the urban rail transit network in Changchun, and the results demonstrate that it is effective in reducing truck mileage and distribution costs. Compared to the single delivery pattern by trucks, the cooperative distribution approach proves to be more cost-effective and environmentally friendly.
A Test of Dublin Anti-bullying Self-Efficacy Scale for Teachers (DABSE-T)
Authors: Feijóo Sandra , Kuldas Seffetullah , Sargioti Aikaterini , Kinahan Angela , Heaney Darran , Gorman Alan , O’Higgins Norman James 
Published: March 2024

AbstractEmerging evidence suggests that anti-bullying programmes should have a particular focus on teacher self-efficacy for peer bullying prevention and intervention at schools. To address this suggestion, a theoretical framework and a measurement scale are needed to evaluate teacher anti-bullying self-efficacy and determine its role in the effectiveness of these anti-bullying programmes. The present research aims to adapt the Anti-Bullying Self-Efficacy Theory and test the psychometric properties of the Dublin Anti-Bullying Self-Efficacy Scale (DABSE) for teachers. A convenience sample of 221 teachers (38.9% from primary and 61.1% from post-primary schools) responded to the DABSE-T following participation in FUSE, a school anti-bullying programme in Ireland. The factorial structure of the scale was assessed using Exploratory Factor Analysis (EFA), Principal Axis Factoring with Promax Oblique rotation. Construct validity (convergent and divergent validity) was assessed using the criteria of Average Variance Extracted (AVE > .50) and the heterotrait-monotrait ratio of correlations (HTMT). Composite reliability was estimated as an indicator of internal consistency. The DABSE-T demonstrated satisfactory psychometric properties, suggesting that it is a valid and reliable measure of teacher self-efficacy beliefs, which encompass recognition of bullying behaviour, comprehension of the need for immediate intervention, acceptance of responsibility, knowledge of appropriate actions, and intervention implementation. The scale can be used to evaluate the effectiveness of anti-bullying interventions and identify teachers who may require additional support in addressing bullying incidents.
Security assessment and improvement of building ethernet KNXnet/IP protocol
Authors: Feng Tao , Zhang Bugang , Liu Chunyan , Zheng Lu 
Published: March 2024

AbstractKNXnet/IP is a KNX-building automation protocol that communicates through an IP network. It is mainly used in the field of smart home and building automation control, allowing remote access to KNX devices through an IP network, so that building functions can be managed and controlled anywhere through an Internet connection. However, with the development of smart homes and building automation, such physical devices based on IP communication are more and more frequently in contact with the Internet, resulting in more and more security issues for home devices and buildings exposed to the Internet. This paper uses the formal analysis method-colored Petri net (CPN) combined with the CPN Tools to model the KNXnet/IP protocol and analyze the protocol interaction process. Based on the Dolev-Yao attacker model, the security of the KNXnet/IP protocol is evaluated and tested, and it is verified whether there are three types of attackable vulnerabilities in the protocol: replay, tampering, and spoofing. After CPN modeling analysis and verification, it is found that tampering and replay vulnerabilities in the original protocol. Therefore, we introduce timestamp and hash to strengthen the security mechanism of the protocol, which ensures the integrity, confidentiality, and freshness of the security mechanism of the protocol. After the final analysis and verification, the improvement scheme proposed in this paper can effectively improve the security performance of the protocol.
Mint species (Mentha longifolia and Mentha spicata L) growth, essential oil generation and chemical components are impacted by turmeric curcumin applications
Authors: Zaki Faten S. A. , Khalid Khalid A. , Ahmed Aisha M. A. 
Published: March 2024

AbstractMint essential oil has several applications in pharmacy and food industries. As mint species multiplied, active chemicals evolved, resulting in changes in their biological effects. Mint growth in Egypt’s sandy soils is hampered by abiotic stress. Phenols like turmeric curcumin reduce abiotic stress which plant suffers. Finding active chemicals in various aromatic plant species to substitute synthetic ones is an enticing approach to developing a new pharmaceutical regimen; these plants need to be studied to locate active components. Therefore, this study aimed to reduce the potential negative effects of abiotic stress in sand soil on horsemint (Mentha longifolia) and spearmint (Mentha spicata L) by applying turmeric curcumin (as organic elicitor), to assess if growing them in the new reclamation zones is a viable option in order to obtain essential oil naturally. Both species received 0, 30, 60, 90, and 120 mg L−1 turmeric curcumin. Horsemint exposed to 30 mg L−1 turmeric curcumin produced the maximum values of plant length (93 cm), fresh herb (114.73 g plant−1) and dry herb (33.81 g plant−1); spearmint × 30 mg L−1 turmeric curcumin resulted in the greatest amounts of chlorophyll a, chlorophyll b and carotenoids with values of 5.38, 1.83 and 1.45 mg g−1, respectively. The maximum values of eucalyptol (65.44%), camphor (23.81%), carvone (65.95%) and limonene (15.9%) were recorded under 90 mg L−1 turmeric curcumin. Horsemint plants subjected to 60 mg L−1 turmeric curcumin gave the highest essential oil yield (1.52 g plant−1), sesquiterpenes (31.4%), soluble sugars (102.19 mg g−1), free amino acids (8.73 mg g−1), phenols (3.71 mg g−1), flavonoids (5.28 mg g−1), free radical's inhibition (64.35%), protein (17.09%) and nitrogen (1.27 g plant−1); spearmint × 60 mg L−1 turmeric curcumin resulted in the greatest values of monoterpenes (98.76%), nitrogen (2.74%), phosphorous (0.54% or 0.17 g plant−1) and potassium (0.56% or 0.18 g plant−1). Control × spearmint gave the maximum value of sodium (0.17% or 0.04 g plant−1). To mitigate the detrimental effects of stress-related factors on sandy soil, turmeric curcumin can be applied to mint species; additionally, it could broaden the sources of natural products. On the other hand, this work provides as a guide for choosing mint species for usage in industries connected to essential oils based on pertinent components.
India’s Conception of Community Data and Addressing Concerns for Access to Justice
Authors: de Souza Siddharth Peter , Bhardwaj Kritika 
Published: March 2024

AbstractThis paper discusses the idea of community data that was introduced in the Non-Personal Data framework in India. Our interest is to engage with existing commentaries on the definitional challenges around who is a community, how it is constituted, who it represents, as well as propose a framework to be able to explore how to address concerns of access to justice. In our attempt to offer a model to operationalise community data, we argue that such community data includes three crucial aspects, that is, the identification of belonging with a community, the capacity to participate within a community, and finally opportunity to exit the community. Consequently, justice in terms of access to, and use of community data inherently includes an analysis of the individual’s standing in the community.
Signatures of Open Magnetic Flux in Jupiter's Dawnside Magnetotail
Authors: Delamere P. A. , Wilson R. J. , Wing S. , Smith A. R. , Mino B. , Spitler C. , Damiano P. , Sorathia K. , Sciola A. , Caggiano J. , Johnson J. R. , Ma X. , Bagenal F. , Zhang B. , Allegrini F. , Ebert R. , Clark G. , Brambles O. 
Published: March 2024

AbstractJupiter's magnetosphere exhibits notable distinctions from the terrestrial magnetosphere. The structure and dynamics of Jupiter's dawnside magnetosphere can be characterized as a competition between internally driven sunward flow and solar wind‐driven tailward flow. During the prime mission, Juno acquired extensive data from dawn to midnight, sampling the magnetodisc and higher latitude regions. Numerical moments from the Jovian Auroral Distributions Experiment (JADE‐I) plasma (ion) instrument revealed a mid‐latitude region of anticorotational (−vϕ) flow. While the magnitude of the flow is subject to uncertainty due to low count rates in these rarefied regions, we demonstrate in the raw JADE‐I data that the sign of vϕ is a robust measurement. Global Grid Agnostic Magnetohydrodyamics for Extended Research Applications simulations show a similar region of strongly reduced flow in proximity to open field lines. Additionally, we use Jupiter Energetic‐particle Detector Instrument integral moments to determine the Hen+/H+ ratio (where n refers to He+ or He++) and show that a transition to solar wind‐like composition occurs in the same region as the anticorotational flow. We conclude that the global simulations are consistent with the Juno data, where the simulations show a crescent of open magnetic flux that is bounded by the magnetodisc and a closed high‐latitude polar region (nominally the polar cap), which is never observed in the terrestrial magnetosphere. The distinct distribution of open flux in Jupiter's dawnside magnetosphere suggests the significance of planetary rotation and may represent a characteristic feature of rotating giant magnetospheres for future exploration.
High‐ and Low‐Frequency Waveform Analysis the Marsquake of Sol 1222: Focal Mechanism, Centroid Moment Tensor Inversion and Source Time Function
Authors: Malytskyy D. , Křížová D. , Lognonné P. , Kawamura T. , Perrin C. , Plasman M. , Xu Z. , Maguire R. 
Published: March 2024

AbstractThe seismometer onboard InSight NASA Mars mission discovered a seismically active planet. We focused on the strongest event named S1222a (4 May 2022, Mw ∼ 4.7), which was recorded by the Very Broad Band sensors and associated channel ELYSE and is located 37.2° away from InSight. We use two different methods based on a point source approach for an elastic, horizontally layered medium to retrieve source parameters of S1222a. In the first case, the seismic moment tensor inversion of high‐frequency seismogram data is calculated using a matrix method for the direct waves. The process includes the generation of records in displacement using the frequency‐wavenumber integration technique. A method of inversion of the moment tensor of direct P‐ and S‐waves, less sensitive to path effects than reflected and transformed waves, is presented, which significantly increases the accuracy and reliability of the method. In the second case, tensors were calculated using common low‐frequency full‐waveform inversion and the tests to verify the plausibility of this solution obtained from the single station calculation were performed and the uncertainty estimations for inversions can be useful in future research.