bluuebunny/crossref_metadata_2025_split huggingface dataset:
Course map learning with graph convolutional network based on AuCM
Authors: Xia Jianing , Li Man , Tang Yifu , Yang Shuiqiao 
Published: July 2023

AbstractConcept map provides a concise structured representation of knowledge in the educational scenario. It consists of various concepts connected by prerequisite dependencies. With the abundance of educational resources available through MOOCs, encyclopedias, and electronic textbooks, extracting prerequisite dependencies and building concept maps becomes feasible. However, publicly accessible taxonomies or learning object information that can help identify prerequisites are rare. To address this, we have constructed a comprehensive dataset called the Australian Course Map data (AuCM), specifically tailored for training concept maps in the IT/CS field. The dataset comprises course descriptions from 14 different Australian universities. To identify prerequisite relationships between course concepts, we have employed an embedding-based approach that combines the Graph Convolutional Network (GCN) with pairwise features of concepts. We have evaluated the performance of our model with non-neural classifiers and neural networks for extracting these prerequisite relations.
Mechanism of bonding, surface property, electrical behaviour, and environmental friendliness of carbon/ceramic composites produced via the pyrolysis of coal waste with polysiloxane polymer
Authors: Eterigho-Ikelegbe Orevaoghene , Trammell Ryan , Ricohermoso Emmanuel , Bada Samson 
Published: July 2023

AbstractA simple mixing-pressing followed by thermal curing and pyrolysis process was used to upcycle coal waste into high-value composites. Three coal wastes of different physicochemical properties were investigated. The hypothetical mechanisms of bonding between the coal particles and the preceramic polymer are presented. The textural properties of the coals indicated that the lowest volatile coal waste (PCD) had a dense structure. This limited the diffusion and reaction of the preceramic polymer with the coal waste during pyrolysis, thereby leading to low-quality composites. The water contact angles of the composites up to 104° imply hydrophobic surfaces, hence, no external coating might be required. Analysis of the carbon phase confirmed that the amorphous carbon structure is prevalent in the composites compared to the coal wastes. The dc volume resistivity of the composites in the range of 22 to 82 Ω-cm infers that the composites are unlikely to suffer electrostatic discharge, which makes them useful in creating self-heating building parts. The leached concentrations of heavy metal elements from the composites based on the end-of-life scenario were below the Toxicity Characteristic Leaching Procedure regulatory limits. Additionally, the release potential or mobility of the metals from the composites was not influenced by the pH of the eluants used. On the basis of the reported results, these carbon/ceramic composites show tremendous prospects as building materials due to these properties.
Graphical Abstract
Sextus and the Nature of Suspension
Authors: Dunphy Robb 
Published: July 2023

AbstractThis article is an investigation of the nature of suspension of judgement as it is conceived by Sextus Empiricus. I carry out this investigation by examining what I take to be Sextus’ most pertinent remarks on the topic and by considering them in the context of contemporary philosophical work on the nature of suspension. Against the more frequently encountered idea that Sextus is operating with a privative conception of suspension, I argue that Sextus instead has a metacognitive account of suspension, whereby suspending constitutively involves acknowledging that one is not in a position to tell whether or not p.
The Reliability of Single-Step and Double-Step Quench and Partitioning Heat Treatments on an AISI 420A Low Carbon Martensitic Stainless Steel
Authors: Barella S. , Gruttadauria A. , Menezes J. T. O. , Castrodeza E. M. , Quaini S. E. , Pelligra C. , McNally E. A. 
Published: July 2023

AbstractThe microstructural and mechanical effects of various single-step (SS) and double-step (DS) quench and partition (Q&P) heat treatments applied to an AISI 420A low carbon martensitic stainless steel (MSS) has been studied. The goal with this work is to reach a total elongation (E pct) of 12 pct and an ultimate tensile strength (UTS) above 1200/1300 MPa, but ultimately to achieve a superior strength-ductility balance in comparison to its traditional Quench and Temper (Q&T) counterpart. This is being done by retaining austenite within the steel’s martensitic matrix at room temperature (RT) using novel SS and conventional DS Q&P heat treatments. Considerable work has been done to optimize DS Q&P heat treatments, but little has been done to understand the effects of removing a subsequent heating cycle through SS Q&P heat treatments has on MSSs. With that being said, partitioning is performed at the same quench interruption temperature for the SS Q&P heat treatments, and reheated to a higher temperature for the DS Q&P heat treatments. Experimental investigations were carried out on 1 mm thick, sheet samples to increase the number of potential applications for this steel and heat treatment. The microstructure of different SS and DS Q&P heat treatments was investigated through X-ray diffraction (XRD) and transmission electron microscopy (TEM) while mechanical property investigations were carried out using tensile and fracture toughness testing. DS Q&P heat treated samples quenched to 130 °C and partitioned for industrially relevant times of 10 and 30 minutes featured the highest values in terms of total elongation, tensile strength and fracture toughness. The SS Q&P heat treatments, on the other hand, were able to achieve improved mechanical properties to its Q&T counterpart. Overall, this work opens up the possibility of increased MSS usage for reliable, thin-walled component production with improved properties through Q&P heat treatment methods. The best results achieved in this study are a UTS of 1585 MPa, E pct of 22 pct, and a fracture toughness of 77 kJ/m2. Their lower total elongation of 9.6 pct is balanced by high tensile strength of 1812 MPa, ensuring higher toughness compared to traditional Q&T samples.
A survey of metaheuristic algorithms for the design of cryptographic Boolean functions
Authors: Djurasevic Marko , Jakobovic Domagoj , Mariot Luca , Picek Stjepan 
Published: July 2023

AbstractBoolean functions are mathematical objects used in diverse domains and have been actively researched for several decades already. One domain where Boolean functions play an important role is cryptography. There, the plethora of settings one should consider and cryptographic properties that need to be fulfilled makes the search for new Boolean functions still a very active domain. There are several options to construct appropriate Boolean functions: algebraic constructions, random search, and metaheuristics. In this work, we concentrate on metaheuristic approaches and examine the related works appearing in the last 25 years. To the best of our knowledge, this is the first survey work on this topic. Additionally, we provide a new taxonomy of related works and discuss the results obtained. Finally, we finish this survey with potential future research directions.
The path from mindfulness to self-esteem: self-concept-clarity and cognitive flexibility as mediators
Authors: Stenhaug Andreas , Solem Stian 
Published: July 2023

AbstractMindfulness is positively associated with self-esteem, yet little is known about possible mediators underlying this relation. In this study, the role of self-concept clarity and cognitive flexibility is examined as potential mediators. A predominantly female (78.9%) sample (N = 204) with a mean age of 31 years participated in a cross-sectional survey. They completed the Five Facet Mindfulness Questionnaire, the Rosenberg Self-Esteem Scale, the Self-Concept Clarity Scale, and the Cognitive Flexibility Scale. To examine relations between study variables, a multiple linear regression analysis was conducted, and a parallel mediation model was performed using the Hayes’ process macro. The regression analysis explained 56% of variance in self-esteem, and all study variables were significant predictors, with self-concept clarity as the strongest predictor. The results found support for partial mediation, with self-concept clarity exhibiting a strong association with self-esteem (β = 0.47). The effect of cognitive flexibility was weaker but significant (β = 0.16). Self-concept clarity and cognitive flexibility partially explained the path from dispositional mindfulness to self-esteem. This could indicate an explanatory role of these two factors, and suggests possible processes by which mindfulness may enhance self-esteem.
Iron-laden blasts in refractory acute myeloid leukemia
Authors: Vossen Christopher , Im Roeun , Horna Pedro 
Published: July 2023

AbstractWe report a case of refractory acute myeloid leukemia with DEK-NUP214 rearrangement showing circulating monocytic blasts with abundant green cytoplasmic granules on the Wright-Giemsa stain. The granules were strongly positive for Perls’ Prussian blue, consistent with hemosiderin deposits. This previously unreported finding is suggestive of siderophage activity by leukemic blasts, likely associated with monocytic differentiation.
The dispersal capacity of Mollusca—a test on the South Azorean Seamount Chain
Authors: Herrera José Antonio Caballero , Hoffman Leon , Freiwald André , Gofas Serge 
Published: July 2023

AbstractThis study investigates the molluscan fauna of the South Azorean Seamount Chain (SASC), which comprises several seamounts culminating in 300–1600 m depth, separated by distances less than 200 km. Material was collected mainly by dredging and comprises mostly empty shells. A total of over 111,000 shells representing at least 439 species (409 identified) was collected. Larval development was inferred from protoconch morphology, and the assemblage comprises species with planktotrophic larvae, with non-feeding planktonic larva, and with lecithotrophic larvae with direct development. The direct developers are more prevalent among species endemic to the SASC in the upper bathyal part (300–800 m) of the seamounts, whereas most planktotrophic species are shared with the Lusitanian seamounts and/or the European mainland. Nevertheless, there are notable exceptions to this trend, where species with non-planktotrophic larvae are also widespread, and a large proportion of the species with non-feeding planktonic larvae are shared with Eastern and/or Western Atlantic. Level of endemism of Mollusca is high within the SASC (22.5% overall, 35.8% considering only the interval < 800 m) and even higher (32.6% overall) when considering together the SASC and the Azores. The generic composition and large set of overlapping fauna suggest a strong relation to the temperate Eastern Atlantic, whereas only 19% of the species are shared with the Western Atlantic.
Capability of DHA biosynthesis in a marine teleost, Pacific saury Cololabis saira: functional characterization of two paralogous Fads2 desaturases and Elovl5 elongase
Authors: Matsushita Yoshiyuki , Kabeya Naoki , Kawamura Wataru , Haga Yutaka , Satoh Shuichi , Yoshizaki Goro 
Published: July 2023

AbstractThe Pacific saury Cololabis saira is an important fishery resource in the Far East, where it is appreciated for its high lipid content, which includes long-chain polyunsaturated fatty acids (LC-PUFAs) such as docosahexaenoic acid (DHA). Although it has been hypothesized that these fatty acids are derived from their prey items, this study focused on evaluating the capacity of saury for endogenous production of LC-PUFAs. To describe its LC-PUFA biosynthetic pathway, we characterized fatty acid desaturase 2 (Fads2) and elongation of very long-chain fatty acid protein 5 (Elovl5) in Pacific saury. Two paralogous fads2 genes, namely fads2a and fads2b, were isolated from the saury and their recombinant protein showed ∆6∆8 and ∆4∆5 desaturase activities, respectively. Meanwhile, saury Elovl5 had elongase activity toward C18 and C20 PUFA. These three enzyme genes were expressed in the brain and liver, although fads2a was absent in the latter. Our results suggest that the saury has sufficient enzymatic functions, particularly in its brain, for DHA biosynthesis through the ∆4 pathway even from α-linolenic acid. This information provides novel insights into the origin of LC-PUFAs in Pacific saury and the future perspective for its potential as a source of such vital fatty acids for human consumption.
Testing for the Pareto type I distribution: a comparative study
Authors: Ndwandwe L. , Allison J. S. , Santana L. , Visagie I. J. H. 
Published: July 2023

AbstractPareto distributions are widely used models in economics, finance and actuarial sciences. As a result, a number of goodness-of-fit tests have been proposed for these distributions in the literature. We provide an overview of the existing tests for the Pareto distribution, focussing specifically on the Pareto type I distribution. To date, only a single overview paper on goodness-of-fit testing for Pareto distributions has been published. However, the mentioned paper has a much wider scope than is the case for the current paper as it covers multiple types of Pareto distributions. The current paper differs in a number of respects. First, the narrower focus on the Pareto type I distribution allows a larger number of tests to be included. Second, the current paper is concerned with composite hypotheses compared to the simple hypotheses (specifying the parameters of the Pareto distribution in question) considered in the mentioned overview. Third, the sample sizes considered in the two papers differ substantially. In addition, we consider two different methods of fitting the Pareto Type I distribution; the method of maximum likelihood and a method closely related to moment matching. It is demonstrated that the method of estimation has a profound effect, not only on the powers achieved by the various tests, but also on the way in which numerical critical values are calculated. We show that, when using maximum likelihood, the resulting critical values are shape invariant and can be obtained using a Monte Carlo procedure. This is not the case when moment matching is employed. The paper includes an extensive Monte Carlo power study. Based on the results obtained, we recommend the use of a test based on the phi divergence together with maximum likelihood estimation.
FUS-mediated blood–brain barrier disruption for delivering anti-Aβ antibodies in 5XFAD Alzheimer’s disease mice
Authors: Antoniou Anastasia , Stavrou Marios , Evripidou Nikolas , Georgiou Elena , Kousiappa Ioanna , Koupparis Andreas , Papacostas Savvas S. , Kleopa Kleopas A. , Damianou Christakis 
Published: July 2023

Abstract
Purpose
Amyloid-β (Aβ) peptides, the main component of amyloid plaques found in the Alzheimer's disease (AD) brain, are implicated in its pathogenesis, and are considered a key target in AD therapeutics. We herein propose a reliable strategy for non-invasively delivering a specific anti-Aβ antibody in a mouse model of AD by microbubbles-enhanced Focused Ultrasound (FUS)-mediated Blood–brain barrier disruption (BBBD), using a simple single stage MR-compatible positioning device.

Methods
The initial experimental work involved wild-type mice and was devoted to selecting the sonication protocol for efficient and safe BBBD. Pulsed FUS was applied using a single-element FUS transducer of 1 MHz (80 mm radius of curvature and 50 mm diameter). The success and extent of BBBD were assessed by Evans Blue extravasation and brain damage by hematoxylin and eosin staining. 5XFAD mice were divided into different subgroups; control (n = 1), FUS + MBs alone (n = 5), antibody alone (n = 5), and FUS + antibody combined (n = 10). The changes in antibody deposition among groups were determined by immunohistochemistry.

Results
It was confirmed that the antibody could not normally enter the brain parenchyma. A single treatment with MBs-enhanced pulsed FUS using the optimized protocol (1 MHz, 0.5 MPa in-situ pressure, 10 ms bursts, 1% duty factor, 100 s duration) transiently disrupted the BBB allowing for non-invasive antibody delivery to amyloid plaques within the sonicated brain regions. This was consistently reproduced in ten mice.

Conclusion
These preliminary findings should be confirmed by longer-term studies examining the antibody effects on plaque clearance and cognitive benefit to hold promise for developing disease-modifying anti-Aβ therapeutics for clinical use.
Gremmeniella abietina: a Loser in the Warmer World or Still a Threat to Forestry?
Authors: Romeralo Carmen , Botella Leticia , Santamaría Oscar , Diez Julio Javier , Laflamme Gaston 
Published: July 2023

AbstractPurpose of ReviewGremmeniella abietinais a destructive forest pathogen responsible for Scleroderris canker, shoot dieback, defoliation, and tree death in forests and tree nurseries. This review is aimed at providing a complete description of the fungus, its distribution, the conditions for its spread, and the impact of climate change and at summarising the relevant forest management methods. Due to the worldwide importance of the pathogen, a retrospective review is required to summarise the lessons learned in relation to the disease, considering application to future outbreaks.Recent FindingsWe revise available management methods, considering examples of control strategies, with special focus on the silvicultural approaches, and we also revise the recovery of the affected stands and the associated trade-offs. Forest disturbances such as pests and disease outbreaks are expected to be exacerbated by climate change, although the exact impact on all host-pathogen interactions remains unclear. In regions with a high risk ofG. abietinaepidemics, climate change is expected to affect the pathogen differently.SummaryGremmeniella abietinais a widely distributed forest pathogen in Europe and is also present in North America. Based on the conclusions reached in this review, forest stands may recover from pathogen outbreaks within 10 years, with considerable loss of growth and the risk of attack from secondary factors. Provenance selection is vital for preventing outbreaks. Climate change is expected to have different effects: in some areas, it is likely to increase the conditions conducive to the development of the fungus, while in others, it is likely to limit the spread because of high temperatures and low humidity. Preventing future outbreaks of this pathogen requires the use of mitigating strategies, together with forest monitoring, forecasting, and planning.
Designing Oxide Catalysts for Oxygen Electrocatalysis: Insights from Mechanism to Application
Authors: Han Ning , Zhang Wei , Guo Wei , Pan Hui , Jiang Bo , Xing Lingbao , Tian Hao , Wang Guoxiu , Zhang Xuan , Fransaer Jan 
Published: July 2023

AbstractThe electrochemical oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) are fundamental processes in a range of energy conversion devices such as fuel cells and metal–air batteries. ORR and OER both have significant activation barriers, which severely limit the overall performance of energy conversion devices that utilize ORR/OER. Meanwhile, ORR is another very important electrochemical reaction involving oxygen that has been widely investigated. ORR occurs in aqueous solutions via two pathways: the direct 4-electron reduction or 2-electron reduction pathways from O2 to water (H2O) or from O2 to hydrogen peroxide (H2O2). Noble metal electrocatalysts are often used to catalyze OER and ORR, despite the fact that noble metal electrocatalysts have certain intrinsic limitations, such as low storage. Thus, it is urgent to develop more active and stable low-cost electrocatalysts, especially for severe environments (e.g., acidic media). Theoretically, an ideal oxygen electrocatalyst should provide adequate binding to oxygen species. Transition metals not belonging to the platinum group metal-based oxides are a low-cost substance that could give a d orbital for oxygen species binding. As a result, transition metal oxides are regarded as a substitute for typical precious metal oxygen electrocatalysts. However, the development of oxide catalysts for oxygen reduction and oxygen evolution reactions still faces significant challenges, e.g., catalytic activity, stability, cost, and reaction mechanism. We discuss the fundamental principles underlying the design of oxide catalysts, including the influence of crystal structure, and electronic structure on their performance. We also discuss the challenges associated with developing oxide catalysts and the potential strategies to overcome these challenges.
Air-Stable Binary Hydrated Eutectic Electrolytes with Unique Solvation Structure for Rechargeable Aluminum-Ion Batteries
Authors: Meng Pengyu , Huang Jian , Yang Zhaohui , Jiang Min , Wang Yibo , Zhang Wei , Zhang Jiao , Sun Baode , Fu Chaopeng 
Published: July 2023

AbstractAluminum-ion batteries (AIBs) have been highlighted as a potential alternative to lithium-ion batteries for large-scale energy storage due to the abundant reserve, light weight, low cost, and good safety of Al. However, the development of AIBs faces challenges due to the usage of AlCl3-based ionic liquid electrolytes, which are expensive, corrosive, and sensitive to humidity. Here, we develop a low-cost, non-corrosive, and air-stable hydrated eutectic electrolyte composed of aluminum perchlorate nonahydrate and methylurea (MU) ligand. Through optimizing the molar ratio to achieve the unique solvation structure, the formed Al(ClO4)3·9H2O/MU hydrated deep eutectic electrolyte (AMHEE) with an average coordination number of 2.4 can facilely realize stable and reversible deposition/stripping of Al. When combining with vanadium oxide nanorods positive electrode, the Al-ion full battery delivers a high discharge capacity of 320 mAh g−1 with good capacity retention. The unique solvation structure with a low desolvation energy of the AMHEE enables Al3+ insertion/extraction during charge/discharge processes, which is evidenced by in situ synchrotron radiation X-ray diffraction. This work opens a new pathway of developing low-cost, safe, environmentally friendly and high-performance electrolytes for practical and sustainable AIBs.
Fixed and mobile broadband penetration and CO2 emissions: evidence from OECD countries
Authors: Quaglione Davide , D’Ingiullo Dario , Meleo Linda 
Published: July 2023

AbstractThe recent rapid increase in Internet data traffic and use of digital technologies—observed during the pandemic and forecasted as a consequence of the massive digital transition occurring in the world economies—are feeding concerns about the related possible negative environmental impacts, in terms of both energy consumption and Carbon Dioxide (CO2) emissions. We contribute to such debate by analysing the relation between two different digitalization dimensions, namely fixed and mobile broadband connections penetration, and CO2emissions at the country level. Our paper provides empirical evidence, based on a panel of 35 OECD countries, that higher fixed and mobile broadband penetration levels are associated with lower levels of CO2emissions, according to an Environmental Kuznets Curve-type relation. Moreover, we investigate whether the environmental effects of these two digitalization dimensions differ across high- and low-income OECD countries. By adopting fixed-effects models and fixed-effects two-stage least square estimators, the results, besides substantiating the Kuznet’s hypothesis in both groups of nations, confirm that higher fixed and mobile broadband penetration levels are associated to a reduction of CO2emissions.