bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Pilot Randomised Control Trial Exploring the Feasibility and Acceptability of Delivering a Personalised Modular Psychological Intervention for Anxiety Experienced by Autistic Adults: Personalised Anxiety Treatment-Autism (PAT-A)
Authors: Rodgers Jacqui , Brice Samuel , Welsh Patrick , Ingham Barry , Wilson Colin , Evans Gemma , Steele Katie , Cropper Emily , Le Couteur Ann , Freeston Mark , Parr Jeremy R. 
Published: September 2023

AbstractAnxiety is commonly experienced by autistic people and impacts on quality of life and social participation. New anxiety interventions are required to effectively meet the needs of autistic people. Personalised Anxiety Treatment-Autism (PAT-A©) is a bespoke, modular approach to treating anxiety in up to 12 sessions. This study explored the feasibility and acceptability of delivering PAT-A© in the UK National Health Service (NHS). A single-blind randomised controlled trial design. Thirty-four autistic adults were recruited via clinical services and randomised to receive either PAT-A© or enhanced treatment as usual (CCSP). Outcome assessments relating to anxiety, quality of life and related constructs were completed at baseline, immediately post intervention; and at 3 and 12 months. Seventy-one percent of the PAT-A© group and 65% of the CCSP met diagnostic threshold for at least three anxiety disorders. Retention was good across both groups, with 82% (N = 14/17) completing the full course of PAT-A© and 71% (N = 12/17) attending both psychoeducational sessions in CCSP. 94% in PAT-A© and 82% in CCSP completed some follow up assessment 3 months post-intervention. Thematic analysis of interview data revealed that many participants valued the personalised approach, developed transferable skills and experienced positive changes to their anxiety. Participants were willing to be recruited and randomised, PAT-A© was feasible to deliver in the NHS and the trial methods and materials were acceptable. Our findings indicate that a fully powered clinical and cost-effectiveness trial of PAT-A© is warranted.
Mental Health of Mothers and Children During the COVID-19 Lockdown: A Cross-sectional Study on a Large Sample of Italian Families
Authors: Spina Giulia , Giordano Francesca , Cristofolini Flavia , Landoni Marta , Grazioli Silvia , Viggiani Cristina , Gnagnarella Camilla , Simione Luca 
Published: September 2023

AbstractIndividuals and communities worldwide have been affected by COVID-19, resulting in stress and emotional instability. Families faced a massive disruption of daily routines, with increased psychological problems for both parents and children. In this cross-sectional study, we explored the emotional impact that health crises have had on Italian families, and in particular on mothers. Nine hundred and seventy-five Italian mothers of children aged 3–18 years participated in this study by completing a survey about maternal and child mental health. The mother’s psychological state was assessed using the GHQ and the PSS, while the children’s psychological state with the SDQ. We also collected family socio-demographic information. We conducted a path analysis through structural equation modeling on this data, with the hypothesis that socio-demographic variables and mothers’ psychological state were related, as well as mothers’ psychological condition and children’s well-being. Our results demonstrated how, during the lockdown, mothers reported a worsening in their psychological state. Furthermore, we found that both educational level and housing type were positively associated with maternal psychological well-being, while remote working was associated with decreased well-being. Maternal mental health had a strong relationship with reported children’s psychological problems. Mothers’ perceived stress was related to decreased prosociality and increased hyperactivity, emotional difficulties, and behavioral problems, while mothers’ general discomfort and depression were related to increased peer problems and emotional problems. This result supports helping mothers find a new balance between work, family, and children as a way to improve family functioning and well-being, as well as children’s mental health and resilience.
The entrepreneurial university and development of large-scale research infrastructure: exploring the emerging university function of collaboration and leadership
Authors: Rådberg Kamilla Kohn , Löfsten Hans 
Published: September 2023

AbstractThis paper aimed to explore the emerging university function of collaboration and leadership in developing large-scale research infrastructure (LRI). A qualitative approach, drawing from both primary and secondary data, was employed to delve deeper into the roles and aspects of the entrepreneurial university pertinent to LRI development. The study highlighted the need for the entrepreneurial university to establish a strategic direction for collaboration and leadership in LRIs. A conceptual model was crafted that delineated the central role of the entrepreneurial university, segmenting the findings into three research elements: (1) research and education (2) collaboration, and (3) utilization and impact. Actor perspectives from both academia and industry were included. The findings emphasized that entrepreneurial universities had to engage more robustly with external actors to foster practical research applications. Universities were found to require a more synergistic role. The model proposed that entrepreneurial universities should classify actors not only by their viewpoint but also by their potential role in LRI. Key actors were identified as belonging to LRI and multi-academic environments, with some being directly involved, while others were indirectly or peripherally engaged. Directly involved actors, including numerous academic and industrial users, had a clear understanding of LRI utility and engagement, whereas indirectly involved ones were curious yet unsure about LRI interaction.
UCoDe: unified community detection with graph convolutional networks
Authors: Moradan Atefeh , Draganov Andrew , Mottin Davide , Assent Ira 
Published: September 2023

AbstractCommunity detection finds homogeneous groups of nodes in a graph. Existing approaches either partition the graph into disjoint,non-overlapping, communities, or determine onlyoverlappingcommunities. To date, no method supports both detections of overlapping and non-overlapping communities. We propose UCoDe, aunifiedmethod for community detection in attributed graphs that detects both overlapping and non-overlapping communities by means of a novel contrastive loss that captures node similarity on a macro-scale. Our thorough experimental assessment on real data shows that, regardless of the data distribution, our method is either the top performer or among the top performers in both overlapping and non-overlapping detection without burdensome hyper-parameter tuning.
Undetected pseudoprogressions in the CeTeG/NOA-09 trial: hints from postprogression survival and MRI analyses
Authors: Zeyen Thomas , Paech Daniel , Weller Johannes , Schäfer Niklas , Tzaridis Theophilos , Duffy Cathrina , Nitsch Louisa , Schneider Matthias , Potthoff Anna-Laura , Steinbach Joachim Peter , Hau Peter , Schlegel Uwe , Seidel Clemens , Krex Dietmar , Grauer Oliver , Goldbrunner Roland , Zeiner Pia Susan , Tabatabai Ghazaleh , Galldiks Norbert , Stummer Walter , Hattingen Elke , Glas Martin , Radbruch Alexander , Herrlinger Ulrich , Schaub Christina 
Published: September 2023

Abstract
Purpose
In the randomized CeTeG/NOA-09 trial, lomustine/temozolomide (CCNU/TMZ) was superior to TMZ therapy regarding overall survival (OS) in MGMT promotor-methylated glioblastoma. Progression-free survival (PFS) and pseudoprogression rates (about 10%) were similar in both arms. Further evaluating this discrepancy, we analyzed patterns of postprogression survival (PPS) and MRI features at first progression according to modified RANO criteria (mRANO).

Methods
We classified the patients of the CeTeG/NOA-09 trial according to long vs. short PPS employing a cut-off of 18 months and compared baseline characteristics and survival times. In patients with available MRIs and confirmed progression, the increase in T1-enhancing, FLAIR hyperintense lesion volume and the change in ADC mean value of contrast-enhancing tumor upon progression were determined.

Results
Patients with long PPS in the CCNU/TMZ arm had a particularly short PFS (5.6 months). PFS in this subgroup was shorter than in the long PPS subgroup of the TMZ arm (11.1 months, p = 0.01). At mRANO-defined progression, patients of the CCNU/TMZ long PPS subgroup had a significantly higher increase of mean ADC values (p = 0.015) and a tendency to a stronger volumetric increase in T1-enhancement (p = 0.22) as compared to long PPS patients of the TMZ arm.

Conclusion
The combination of survival and MRI analyses identified a subgroup of CCNU/TMZ-treated patients with features that sets them apart from other patients in the trial: short first PFS despite long PPS and significant increase in mean ADC values upon mRANO-defined progression. The observed pattern is compatible with the features commonly observed in pseudoprogression suggesting mRANO-undetected pseudoprogressions in the CCNU/TMZ arm of CeTeG/NOA-09.
Did Old English Verse Have a “Morphological” Metre?
Authors: Goering Nelson 
Published: September 2023

AbstractThe revision of the four-position theory of Old English metre by Yakovlev (2008) has had a considerable impact, both for its simplification of Sievers’ (1893) metrical principles, and for its supposed shift to a “morphological” rather than an “accentual” metrical type. I contextualize Yakovlev’s important contribution to metrical theory, highlighting that his main innovations are to eliminate the principle that every verse should have two lifts, and to collapse the metrical notions of “lift” and of “half-lift” into a single type of unit, the “strong position”. These major and thoughtful innovations are unconnected to the supposed “morphological” aspect of Yakovlev’s system, which consists of arbitrary and unmotivated stipulations of certain classes of syllables as inherently strong or weak. Calling the metre “morphological” on this basis is at best misleading, placing too much emphasis on a marginal component of the system. Moreover, the definitions of strong and weak positions are better explained with reference to linguistic stress: elements bearing some degree of stress (primary or secondary) are strong, while those bearing no stress are weak. Such a reframing leads to a slight revision of Yakovlev’s theory to incorporate the “rule of the coda” (Fulk, 1992). The result is a version of Yakovlev’s theory which is both theoretically simpler and more descriptively adequate, but in which the label “morphological” lacks even the limited and inapt validity of the original version. This reintroduction of stress into the system does not, however, make the theory “accentual”, and it remains better characterized as an “alliterative-syllabic” view of the metre (Cable, 1991).
Numerically efficient full-vectorial rational Chebyshev pseudo-spectral modal analysis for optical Waveguides
Authors: Said Afaf , Obayya Salah 
Published: September 2023

AbstractIn this paper, an efficient full-vectorial modal analysis based on the rational Chebyshev pseudo-spectral method (V-RCPSM) is introduced to analyze 3 dimensional (3D) structures that are invariant along one spatial variable. Such structures are essential in silicon photonics and plasmonics applications where permittivity profiles with high-index contrast need precise treatment of the interface boundary conditions. Besides, such structures are open in general. Hence, good domain truncation is important. Our method handles these challenges via hybrid usage of the domain decomposition technique where the electromagnetic field is expanded in terms of Chebyshev functions in homogeneous regions, while the rational Chebyshev functions are used for semi-infinite homogeneous domains. The boundary conditions are rigorously imposed along the interfaces, a step that maintains the known exponential convergence rate of Chebyshev functions. Chebyshev functions have the ability to capture the correct rapid variation of the electromagnetic fields at the interfaces of the high-index-contrast waveguides using only a few basis functions; a critical feature for accurate mode computation. To show the accuracy and efficiency of our new approach, we studied rib and plasmonic waveguides and compared the results with those obtained using other full-vectorial approaches such as the finite elements method (FEM). Our developed approach has achieved a huge reduction in computational resources over the FEM.
A Potential of Legal Terminology to be Translated: The Case of ‘Regulation’ Translated into Ukrainian
Authors: Pavliuk Nataliia 
Published: September 2023

AbstractThe study focuses on the translatability of EU terminology into Ukrainian, with a specific emphasis on the term ‘regulation’. It explores the challenges and considerations involved in translating legal terms, particularly within the context of EU legislative acts. The concept of translatability potential is substantiated in the article. It is seen as language pair-dependent, influenced by the availability of similar legal concepts in the target law system, equivalent terms in the target language, and other factors. The research delves into the levels of translatability potential of legal terms, taking into consideration the existence of identical concepts in the target legal system, the mono- or polysemic semantic structure of the source term, and the established translation practices accepted by legal professionals. Based on these criteria, legal terms are classified into categories of high, upper-medium, lower-medium, and low translatability potentials. The article applies these criteria to analyse the translatability potential of the term ‘EU regulation’ in Ukrainian legal discourse. The distinction between legal terms and legal concepts are highlighted, and the concepts are considered to be mental representations associated with linguistic units. The corpus method and concept analysis are employed to analyse the impact of the context on the actualisation of specific components of semantic structure and, correspondingly, specific concepts. The use of the terms in ordinary and legal discourse is under analysis, as well as different Ukrainian translations of ‘regulation’ for each concept it manifests. Finally, the semantic structures of the term ‘EU regulation’ and its Ukrainian translation ‘peглaмeнт (rehlament)’ are compared to reveal the semantic shifts caused by translation. The concept and semantic analyses are conducted to explore the realisation of the translatability potential and see if the best option provided by the potential of the term was selected to meet the high requirements of legal translation.
Mineralogy of the Venus Surface
Authors: Gilmore Martha S. , Darby Dyar M. , Mueller Nils , Brossier Jérémy , Santos Alison R. , Ivanov Mikhail , Ghail Richard , Filiberto Justin , Helbert Jörn 
Published: September 2023

AbstractSurface mineralogy records the primary composition, climate history and the geochemical cycling between the surface and atmosphere. We have not yet directly measured mineralogy on the Venus surface in situ, but a variety of independent investigations yield a basic understanding of surface composition and weathering reactions in the present era where rocks react under a supercritical atmosphere dominated by CO2, N2 and SO2 at ∼460 °C and 92 bars. The primary composition of the volcanic plains that cover ∼80% of the surface is inferred to be basaltic, as measured by the 7 Venera and Vega landers and consistent with morphology. These landers also recorded elevated SO3 values, low rock densities and spectral signatures of hematite consistent with chemical weathering under an oxidizing environment. Thermodynamic modeling and laboratory experiments under present day atmospheric conditions predict and demonstrate reactions where Fe, Ca, Na in rocks react primarily with S species to form sulfates, sulfides and oxides. Variations in surface emissivity at ∼1 μm detected by the VIRTIS instrument on the Venus Express orbiter are spatially correlated to geologic terrains. Laboratory measurements of the near-infrared (NIR) emissivity of geologic materials at Venus surface temperatures confirms theoretical predictions that 1 μm emissivity is directly related to Fe2+ content in minerals. These data reveal regions of high emissivity that may indicate unweathered and recently erupted basalts and low emissivity associated with tessera terrain that may indicate felsic materials formed during a more clement era. Magellan radar emissivity also constrain mineralogy as this parameter is inversely related to the type and volume of high dielectric minerals, likely to have formed due to surface/atmosphere reactions. The observation of both viscous and low viscosity volcanic flows in Magellan images may also be related to composition. The global NIR emissivity and high-resolution radar and topography collected by the VERITAS, EnVision and DAVINCI missions will provide a revolutionary advancement of these methods and our understanding of Venus mineralogy. Critically, these datasets must be supported with both laboratory experiments to constrain the style and rate weathering reactions and laboratory measurements of their NIR emissivity and radar characteristics at Venus conditions.
Jupiter Science Enabled by ESA’s Jupiter Icy Moons Explorer
Authors: Fletcher Leigh N. , Cavalié Thibault , Grassi Davide , Hueso Ricardo , Lara Luisa M. , Kaspi Yohai , Galanti Eli , Greathouse Thomas K. , Molyneux Philippa M. , Galand Marina , Vallat Claire , Witasse Olivier , Lorente Rosario , Hartogh Paul , Poulet François , Langevin Yves , Palumbo Pasquale , Gladstone G. Randall , Retherford Kurt D. , Dougherty Michele K. , Wahlund Jan-Erik , Barabash Stas , Iess Luciano , Bruzzone Lorenzo , Hussmann Hauke , Gurvits Leonid I. , Santolik Ondřej , Kolmasova Ivana , Fischer Georg , Müller-Wodarg Ingo , Piccioni Giuseppe , Fouchet Thierry , Gérard Jean-Claude , Sánchez-Lavega Agustin , Irwin Patrick G. J. , Grodent Denis , Altieri Francesca , Mura Alessandro , Drossart Pierre , Kammer Josh , Giles Rohini , Cazaux Stéphanie , Jones Geraint , Smirnova Maria , Lellouch Emmanuel , Medvedev Alexander S. , Moreno Raphael , Rezac Ladislav , Coustenis Athena , Costa Marc 
Published: September 2023

AbstractESA’s Jupiter Icy Moons Explorer (JUICE) will provide a detailed investigation of the Jovian system in the 2030s, combining a suite of state-of-the-art instruments with an orbital tour tailored to maximise observing opportunities. We review the Jupiter science enabled by the JUICE mission, building on the legacy of discoveries from the Galileo, Cassini, and Juno missions, alongside ground- and space-based observatories. We focus on remote sensing of the climate, meteorology, and chemistry of the atmosphere and auroras from the cloud-forming weather layer, through the upper troposphere, into the stratosphere and ionosphere. The Jupiter orbital tour provides a wealth of opportunities for atmospheric and auroral science: global perspectives with its near-equatorial and inclined phases, sampling all phase angles from dayside to nightside, and investigating phenomena evolving on timescales from minutes to months. The remote sensing payload spans far-UV spectroscopy (50-210 nm), visible imaging (340-1080 nm), visible/near-infrared spectroscopy (0.49-5.56 μm), and sub-millimetre sounding (near 530-625 GHz and 1067-1275 GHz). This is coupled to radio, stellar, and solar occultation opportunities to explore the atmosphere at high vertical resolution; and radio and plasma wave measurements of electric discharges in the Jovian atmosphere and auroras. Cross-disciplinary scientific investigations enable JUICE to explore coupling processes in giant planet atmospheres, to show how the atmosphere is connected to (i) the deep circulation and composition of the hydrogen-dominated interior; and (ii) to the currents and charged particle environments of the external magnetosphere. JUICE will provide a comprehensive characterisation of the atmosphere and auroras of this archetypal giant planet.
Boolean Connexive Logic and Content Relationship
Authors: Klonowski Mateusz , Estrada-González Luis 
Published: September 2023

AbstractWe present here some Boolean connexive logics (BCLs) that are intended to be connexive counterparts of selected Epstein’s content relationship logics (CRLs). The main motivation for analyzing such logics is to explain the notion of connexivity by means of the notion of content relationship. The article consists of two parts. In the first one, we focus on the syntactic analysis by means of axiomatic systems. The starting point for our syntactic considerations will be the smallest BCL and the smallest CRL. In the first part, we also identify axioms of Epstein’s logics that, together with the connexive principles, lead to contradiction. Moreover, we present some principles that will be equivalent to the connexive theses, but not to the content connexive theses we will propose. In the second part, we focus on the semantic analysis provided by relating- and set-assignment models. We define sound and complete relating semantics for all tested systems. We also indicate alternative relating models for the smallest BCL, which are not alternative models of the connexive counterparts of the considered CRLs. We provide a set-assignment semantics for some BCLs, giving thus a natural formalization of the content relationship understood either as content sharing or as content inclusion.
Modeling construction and demolition waste quantities in Tanta City, Egypt: a synergistic approach of remote sensing, geographic information system, and hybrid fuzzy neural networks
Authors: Elshaboury Nehal , AlMetwaly Wael M. 
Published: September 2023

AbstractA waste management strategy needs accurate data on the generation rates of construction and demolition waste (CDW). The objective of this study is to provide a robust methodology for predicting CDW generation in Tanta City, one of the largest and most civilized cities in Egypt, based on socioeconomic and waste generation statistics from 1965 to 2021. The main contribution of this research involves the fusion of remote sensing and geographic information systems to construct a geographical database, which is employed using machine learning for modeling and predicting the quantities of generated waste. The land use/land cover map is determined by integrating topographic maps and remotely sensed data to extract the built-up, vacant, and agricultural areas. The application of a self-organizing fuzzy neural network (SOFNN) based on an adaptive quantum particle swarm optimization algorithm and a hierarchical pruning scheme is introduced to predict the waste quantities. The performance of the proposed models is compared against that of the FNN with error backpropagation and the group method of data handling using five evaluation measures. The results of the proposed models are satisfactory, with mean absolute percentage error (MAPE), normalized root mean square error (NRMSE), determination coefficient, Kling–Gupta efficiency, and index of agreement ranging between 0.70 and 1.56%, 0.01 and 0.03, 0.99 and 1.00, 0.99, and 1.00. Compared to other models, the proposed models reduce the MAPE and NRMSE by more than 92.90% and 90.64% based on fivefold cross-validation. The research findings are beneficial for utilizing limited data in developing effective strategies for quantifying waste generation. The simulation outcomes can be applied to monitor the urban metabolism, measure carbon emissions from the generated waste, develop waste management facilities, and build a circular economy in the study area.