bluuebunny/crossref_metadata_2025_split huggingface dataset:
Beyond the Digital Public Sphere: Towards a Political Ontology of Algorithmic Technologies
Authors: Viader Guerrero Jordi 
Published: August 2024

AbstractThe following paper offers a political and philosophical reading of ethically informed technological design practices to critically tackle the implicit regulative ideal in the design of social media as a means to digitally represent the liberal public sphere. The paper proposes that, when it comes to the case of social media platforms, understood along with the machine learning algorithms embedded in them as algorithmic technologies, ethically informed design has an implicit conception of democracy that parallels that of Jürgen Habermas’ procedural democracy (Habermas, J. (1994). THREE NORMATIVE MODELS OF DEMOCRACY.Jurgen Habermas,1(1).). That is, that democratic practices are encodable as procedures that produce valid discussion forums. Opposed to this, this paper suggests a turn to philosopher Jacques Rancière’s conception of politics as a guiding attitude towards technological design. This is done by, on the one side, using Rancière’s notions of “disagreement” and “distribution of the sensible” as the political starting point for the practice of design of algorithmic technologies. And, on the other, inspired by Karen Barad’s theories on agential realism (Barad, K. (2003). Posthumanist Performativity: Toward an Understanding of How Matter Comes to Matter.Signs: Journal of Women in Culture and Society,28(3), 801–831.https://doi.org/10.1086/345321), by putting forward a political ontology of algorithmic technologies that reconceptualizes them in terms of how they assemble open-ended practices between human bodies and technological devices.
Equity, curriculum form and state differences in Australian senior secondary education
Authors: O’Connor Kate , Roberts Philip , Di Gregorio Elisa 
Published: August 2024

AbstractThis article considers differences and similarities in curriculum form between the senior secondary certificates offered across Australia, drawing on three different understandings of curriculum form, one focused on the grid or map of the curriculum and its core categories and levels of specification, one on the cultural assumptions underpinning significant policy reforms, and one on the internal relations between curriculum contents and the divisions evident in the curriculum assigned to particular groups of students. It highlights differences between these perspectives and the value of engaging them collectively to understand the various senior secondary systems operating across Australia, how they have changed over time and their equity implications. It shows that the certificates continue to be different in multiple ways despite decades of standardising reform but that shifts have occurred within states once defined as progressive, with practices changing to align with larger states’ conservative agendas. The differences which do continue are also shown to be in some respects arbitrary, with common patterns evident in relation to the knowledges valued and the distinctions enforced between university and non-university pathways which are obfuscated by the highly complex rules and requirements evident in each jurisdiction. Further research and analysis considering the enactment of these requirements within schools is needed to better understand the equity implications of different requirements and approaches and to think about what kind of curriculum form might be needed to enable an equitable educational system in Australia.
Essential oil distillation residue as environmentally friendly feedstock in gasification: effect of dry air flow rate and temperature on gasification performance
Authors: Yılmaz Çinçin Roda Gökçe , Öngen Atakan , Ağdağ Osman Nuri 
Published: August 2024

AbstractDespite the growing use of distillation to extract essential oils from aromatic plants, their residues pose a challenge due to their high cellulose-lignin content and resistance to biodegradation, requiring thermochemical treatment for removal. This paper presents the effect of flow rate of agent and operation temperature on the gasification of Oregano (Origanum onites L.) and Lavender (Lavandula angustifolia) distillation residue in an updraft fixed bed reactor. The syngas composition, lower heating value of syngas, carbon conversion efficiency, cold gas efficiency, and amount of product are assessed during gasification process. In the experimental studies, a laboratory-scale upstream fixed-bed gasification reactor made of stainless steel heated with a ceramic heater resistant was used. The studies were carried out at temperatures of 700, 800, and 900 °C and a dry air flow rate of 0.05–0.4 L/min to find optimum conditions for gasification. Results showed that increasing the temperature and reducing the dry air flow rate led to higher syngas production and heating value. The maximum volume of H2 in the syngas was measured as 40%. The HHV varied between 5 and 13 MJ/Nm3. The optimum flow rate and temperature for gasification in the updraft fixed bed reactor were found to be 0.05–0.1 L/min and 900 °C, respectively.
Graphical Abstract
Interpretation of magnetic measurements of the CHAMP and Swarm-A satellites over the Pannonian Basin
Authors: Kis K I , Taylor P T , Puszta S , Toronyi B 
Published: August 2024

AbstractThe interpretation of the CHAMP and Swarm-A satellites magnetic anomalies is discussed. The vertical gradient of the Swarm-A anomalies is presented. The vertical gradient shows in detail the magnetic sources. The inversion of the CHAMP magnetic anomalies is also presented. The inversion shows the parameters of the selected forward model. The inversion is solved by numerical procedures: the nonlinear Simplex and Simulated Annealing methods. Possible origin of upper crust magnetization is summarized. The calculation of the error propagation is estimated.
Accuracy of lung ultrasound performed with handheld ultrasound device in internal medicine: an observational study
Authors: Lo Cricchio Anna , Storelli Andrea , Bertoletti Iacopo , Ciuti Gabriele , Fabbri Alessia , Martinelli Elisa , De Santis Maria Cristina , Mercatelli Paolo , El Aoufy Khadija , Bellando Randone Silvia , Moggi Pignone Alberto , Accogli Esterita , Bandini Giulia 
Published: August 2024

Abstract
Aims
Lung ultrasound (LUS) is increasingly used in Internal Medicine to complement medical examination, documenting pleural and lung conditions. This study aimed to compare the accuracy of handheld ultrasound device (HHUSD) with high-end ultrasound device (HEUSD) in patients with heart failure or pneumonia, also including the assessment of costs and time-savings.

Methods
In this observational study 72 patients (aged ≥ 18) admitted to Internal Medicine Unit for heart failure or pneumonia underwent LUS plus evaluation of inferior cava vein (ICV) when indicated, using both HHUSD and HEUSD. Each evaluation, independently performed by 2 different experienced operators, included B-lines number, pleural effusion, lung consolidations, ICV ectasia and its respiratory excursions.

Results
Concordance between HHUSD and HEUSD findings was 79.3% ± 17.7 (mean ± SD) for B-lines, 88.6% for pleural effusion, 82.3% for consolidations and 88.7% and 84.9% for ICV ectasia and its respiratory excursions respectively. BMI didn’t significantly influence concordance between the two methods. Moreover, examination time (as mean ± SD) was shorter with HHUSD (8 ± 1.5 min) compared to HEUSD (10 ± 2.5 min).

Conclusions
HHUSD demonstrated high accuracy in detecting B-lines, pleural effusions, lung consolidations and ICV evaluation when compared to HEUSD. Thus, HHUSD, not only is characterized by accessibility, portability, and easy handling due to its small size, but it also offers advantages in terms of saving costs and time, ultimately contributing to faster patient assessment compared to HEUSD.
Complex Trauma from Child Abuse and Neglect “I’m not Sure We’re even All Talking about the Same Thing and We’re Probably Not”:
Authors: Thain Eden , Cox Sarah , Paton Amanda , Shihata Sarah , Bromfield Leah 
Published: August 2024

Abstract
Rationale
Trauma from child abuse and neglect requires specialised assessment and intervention, especially for those experiencing complex trauma. Unfortunately, what constitutes complex trauma is contentious, alongside growing criticisms of diagnostic categories and labels. Recent literature critiques the symptom clusters and diagnostic categories/labels approach compared to focusing on the concrete impacts and functional nature of behavioural responses to trauma in context.

Aims
This research aimed to assess the conceptual maturity of complex trauma for children and young people who have experienced abuse and neglect by discussing the concept with Australian experts. The research aimed to conceptualise complex trauma through a dimensional lens and impacts-based approach. The overall aim was to increase understanding of the development and maintenance of complex trauma and its distinctiveness from other types of trauma.

Method
Group interviews were conducted, and reflexive thematic analysis was used to analyse the data. A member-checking survey helped review and improve the findings.

Results
Findings suggest a vast array of impacts from complex trauma, that diagnostic boxes may not be right for complex trauma, and that the potentially chaotic cycle of complex trauma perpetuates issues. Results from this pilot indicate that complex trauma may be an immature concept for expert clinicians and researchers alike.

Conclusions
Despite assessing complex trauma as an emerging or even immature concept, the discussion generates direction forward and suggests further research avenues. Associated ideas and emerging concepts begin a conceptual discussion of complex trauma.
Unraveling climate trends in the mediterranean: a hybrid machine learning and statistical approach
Authors: AlShafeey Mutaz 
Published: August 2024

AbstractThis study presents a comprehensive spatiotemporal analysis of sea surface temperatures (SST) and surface air temperatures (TAS) across 15 Mediterranean coastal stations, leveraging centennial-scale data to analyze regional climate dynamics. The modeling framework integrates three sequential phases: data preprocessing, statistical analysis, and advanced machine learning techniques, creating a robust analytical pipeline. The data preprocessing phase harmonizes diverse datasets, addresses missing values, and applies transformations to ensure analytical consistency. The statistical modeling employs the Pettitt test for change point detection and linear trend analysis to unveil underlying patterns. The machine learning phase utilizes K-means clustering for climate regime classification and implements tailored Convolutional Neural Networks (CNNs) for cluster-specific future climate anomaly projections. Results unveil a marked anthropogenic climate signal, with contemporary observations consistently surpassing historical baselines. Breakpoint analyses and linear trend assessments reveal heterogeneous climatic shifts, with pronounced warming in the northern Mediterranean. Notably, Nice and Ajaccio exhibit the highest SST increases (0.0119 and 0.0113 °C/decade, respectively), contrasting with more modest trends in Alexandria (0.0052 °C/decade) and Antalya (0.0047 °C/decade) in the eastern Mediterranean. The application of clustering and CNN projections provides granular insights into differential warming trajectories. By 2050, cooler northwestern Mediterranean zones are projected to experience dramatic SST anomalies of approximately 3 °C above the average, with corresponding TAS increases of 2.5 °C. In contrast, warmer eastern and southern regions display more subdued warming patterns, with projected SST and TAS increases of 1.5–2.5 °C by mid-century. This research’s importance is highlighted by its potential to inform tailored adaptation strategies and contribute to the theoretical understanding of climate dynamics, advancing climate modeling and analysis efforts.
Pyrometallurgical Reduction of Copper Slag with Biochar for Metal Recovery
Authors: Attah-Kyei Desmond , Sukhomlinov Dmitry , Klemettinen Lassi , Michallik Radoslaw , O’Brien Hugh , Taskinen Pekka , Lindberg Daniel 
Published: August 2024

AbstractLarge amounts of slag are generated during pyrometallurgical processing in copper production. Due to the presence of valuable elements, the improper disposal of huge quantities of copper slag produced, results in significant loss of resources as well as environmental issues. Analyses of the copper slag show that it contains valuable metals, particularly copper and nickel. In this work, four biochars were employed as fossil-free reducing agents to recover valuable metals from the slag. Reduction experiments were performed in a vertical furnace at temperatures 1250, 1300 and 1350 °C for 60 min in order to investigate the effect of temperature. Moreover, the effect of time on reduction progress was studied at 1250 °C and the concentrations of CO and CO2 in the off-gas were measured with a gas analyzer. Copper slag was reacted with metallurgical coke for comparison and the products were analyzed with EPMA and LA-ICPMS. The results revealed that reduction rapidly progresses to the formation of metal alloy within 10 min. Valuable metals like copper, nickel and arsenic were the first to be reduced to the metal phase. As reduction time increased, iron was also reduced and combined with the metal droplet. The use of biochar as reductant was shown to be more effective than coke especially at lower temperatures. In addition, thermodynamic modelling was performed with FactSage and HSC and compared with the experimental results. The simulations with HSC showed the sequence of reactions taking place and the calculations by FactSage were in agreement with the experiments.
Graphical Abstract
The Idea of a “Flawed Treaty” and its Influence on Students’ Perceptions of the New Zealand Wars
Authors: Burns Christopher , Hetaraka Maia , Jones Alison 
Published: August 2024

AbstractThis article reports on students’ accounts of te Tiriti o Waitangi as a flawed agreement that was a cause of subsequent conflict. We examine how the notion of a “flawed treaty” is developed in history and educational texts. We argue that when the cause of conflict is attributed to the failures of those engaged in the historical production of the treaty documents, Māori perspectives on the sacred significance of the treaty are obscured, as is the contemporary relevance of the agreement. As much as possible, throughout this article, the capitalised phrase te Tiriti o Waitangi (or te Tiriti) is used to refer especially to the te reo Māori text and the Treaty of Waitangi (or the Treaty) to the English language text of the treaty. ‘The treaty’ (in lower case) refers to an agreement to an ongoing relationship, and where a specific text is not defined.
Artificial Intelligence as a Tool for Diagnosis of Cardiac Amyloidosis: A Systematic Review
Authors: Ahmadi-Hadad Armia , De Rosa Egle , Di Serafino Luigi , Esposito Giovanni 
Published: August 2024

Abstract
Purpose
Cardiac amyloidosis (CA) is a highly underdiagnosed disease characterized by the accumulation of misfolded amyloid protein fragments in the heart, resulting in reduced heart functionality and myocardial stiffness. Artificial intelligence (AI) has garnered considerable interest as a potential tool for diagnosing cardiovascular diseases, including CA. This systematic review concentrates on the application of AI in the diagnosis of CA.

Methods
A comprehensive systematic search was performed on the databases of PubMed, Embase, and Medline, to identify relevant studies. The screening process was conducted in two stages, using predetermined inclusion and exclusion criteria, and was carried out in a blinded manner. In cases where discrepancies arose, the reviewers discussed and resolved the issue through consensus.

Results
Following the screening process, a total of 10 studies were deemed eligible for inclusion in this review. These investigations evaluated the potential utility of AI models that analyzed routine laboratory data, medical records, ECG, transthoracic echocardiography, CMR, and WBS in the diagnosis of CA.

Conclusion
AI models have demonstrated utility as a diagnostic tool for CA, with comparable or in one case superior efficacy to that of expert cardiologists.
Towards intelligent environments: human sensing through 3D point cloud
Authors: Yamaguchi Hirozumi , Rizk Hamada , Amano Tatsuya , Hiromori Akihito , Ukyo Riki , Yamada Shota , Ohno Masakazu 
Published: August 2024

AbstractTo realize the concept of “Society 5.0”, which seeks to enhance well-being by integrating the Internet of Things to connect people, objects, and environments, intelligent environments are essential. These environments focus on creating sensor-enhanced spaces capable of recognizing and interpreting human behaviors and needs. This paper explores how we achieve intelligent environment by highlighting current technologies and applications of human sensing and tracking that enables such intelligent environments. Specifically, it introduces the development and application of LiDAR-based human sensing and tracking technologies, including the Hitonavi and Hitonavi-$$\mu $$
μ
systems, designed for multi-person tracking in extensive areas and for enabling person detection and activity recognition on edge devices, respectively. Moreover, the paper explains the services and applications of these methodologies to smart buildings, shopping malls, and elderly care, showcasing their potential to enhance safety, convenience, and understanding of human behavior within intelligent environments. Throughout this paper, we present our vision for creating reliable intelligent environments, which are fundamentally supported by sophisticated human sensing technologies.
Transformer models for Land Cover Classification with Satellite Image Time Series
Authors: Voelsen Mirjana , Rottensteiner Franz , Heipke Christian 
Published: August 2024

AbstractIn this paper we address the task of pixel-wise land cover (LC) classification using satellite image time series (SITS). For that purpose, we use a supervised deep learning model and focus on combining spatial and temporal features. Our method is based on the Swin Transformer and captures global temporal features by using self-attention and local spatial features by convolutions. We extend the architecture to receive multi-temporal input to generate one output label map for every input image. In our experiments we focus on the application of pixel-wise LC classification from Sentinel‑2 SITS over the whole area of Lower Saxony (Germany). The experiments with our new model show that by using convolutions for spatial feature extraction or a temporal weighting module in the skip connections the performance improves and is more stable. The combined usage of both adaptations results in the overall best performance although this improvement is only minimal. Compared to a fully convolutional neural network without any self-attention layers our model improves the results by 2.1% in the mean F1-Score on a corrected test dataset. Additionally, we investigate different types of temporal position encoding, which do not have a significant impact on the performance.
An application-layer plausibly deniable encryption system for wearable devices
Authors: Chen Niusen , Chen Bo , Shi Weisong 
Published: August 2024

AbstractWearable devices especially smartwatches are widely used in our daily life. With their increased use, a large amount of sensitive data are collected, stored, and managed in those devices. To protect sensitive data, encryption is often used but, traditional encryption is vulnerable to a novel coercive attack in which the adversary can capture the device’s user and coerce the user to disclose the decryption key. To defend against the coercive attack, Plausibly Deniable Encryption (PDE) has been designed which can allow the victim user to deny the existence of hidden sensitive data. The PDE systems have been explored broadly for smartphones. However, the PDE systems which are suitable for wearable devices are still missing in the literature. In this work, we have designed MobiWear, the first PDE system specifically designed for wearable devices. By leveraging PDE, image steganography as well as watermarking, MobiWear ensures plausible deniability and can be easily deployed at the application layer. In addition, MobiWear relies on sensors equipped with the wearable devices to enter passwords, accommodating the wearable devices which have small-size screens and are inconvenient for entering plaintext. Security analysis and experimental evaluation using a real-world prototype (ported to an LG G smartwatch) show that MobiWear can ensure the deniability with a small computational overhead as well as a tiny degradation of the perceived quality of the image.
Discovery of a novel whitefly- and aphid-transmitted polerovirus on rice plants with dwarfing and fewer tillering symptoms
Authors: Yu Jiaping , Zeng Ming , Zhou Yali , Wang Jirui , Zhou Xueping , Wu Jianxiang 
Published: August 2024

AbstractRice is the most important cereal grain worldwide and is cultivated mainly in Asian countries. Rice viral disease epidemics caused by insect-borne viruses are a major threat to rice production. However, to date, how many unknown viruses naturally infect rice plants in the field remains vague. Here, we identified a novel polerovirus tentatively named rice dwarf polerovirus (RDPV) via RNA-seq technology in rice plants showing dwarfing and fewer tillering symptoms collected from paddy fields in Hainan Province, China. The RDPV genome consists of a positive-sense, single-stranded RNA molecule that is 5832 nt in size and is deduced to encode seven viral proteins. Phylogenetic analyses based on the full-length genome sequence and RNA-dependent RNA polymerase (RdRp) amino acid sequence revealed that RDPV is in an evolutionary branch with known viruses in the Polerovirus genus. Interestingly, virus transmission experiments demonstrated that RDPV can be transmitted by two completely different vectors, i.e., whiteflies and aphids, from diseased rice plants to healthy rice seedlings. Furthermore, we constructed an infectious cDNA clone of RDPV and found that it can infect Nicotiana benthamiana plants via Agrobacterium-infiltrated inoculation. Thus, we concluded that RDPV is a novel whitefly- and aphid-transmitted rice polerovirus. These findings contribute to expanding our knowledge of rice polerovirus diversity, and developing efficient strategies to manage this rice viral disease.