bluuebunny/crossref_metadata_2025_split huggingface dataset:
Helping Clinicians Conceptualise Behavioural Insomnia in Children: Development of the Manifestations and Vulnerabilities of Behavioural Insomnia in Childhood Scale (MAVBICS)
Authors: Donovan Caroline L. , Uhlmann Laura , Shiels Amy 
Published: October 2023

AbstractThis paper outlines the development and psychometric evaluation of the Manifestations and Vulnerabilities of Behavioural Insomnia in Childhood Scale (MAVBICS), an instrument intended to assess the manifestations of, and factors underpinning, child behavioural insomnia. The MAVBICS comprises two sections: a more general sleep and bedtime information section (Section 1), and a psychometric measure of six theoretically derived factors that underlie, contribute to, and are manifestations of, child sleep problems (Section 2), that is the focus of this research. Study 1 comprised an exploratory factor analysis of Section 2 items (EFA; n = 328 parents of children aged 3–12 years), with a final 25 items found to load highly onto 6 factors; Sleep Maintenance Problems (4 items, α = 0.88), Co-Sleeping Behaviours (4 items, α = 0.93), Bedtime Routines (5 items, α = 0.82), Bedtime Resistance (5 items, α = 0.88), Bedtime Worries (3 items, α = 0.85) and Bedtime Fears (4 items, α = 0.86). Study 2 comprised a confirmatory factor analysis (CFA) of Section 2 items and tests of convergent validity (n = 313), with results confirming the factor structure and providing evidence for convergent validity through correlations in expected directions between MAVBICS scores and other sleep, anxiety and behaviour measures. Study 3 tested the test–retest reliability of Section 2 items (n = 53), and found support for the temporal stability of the MAVBICS over a 2-week period. Overall, the results provide strong preliminary evidence for the validity of the MAVBICS total score and its subscales, although the Bedtime Routines subscale may be less useful.
CT-based deep learning model: a novel approach to the preoperative staging in patients with peritoneal metastasis
Authors: Wang Jipeng , Hu Yuannan , Xiong Hao , Song Tiantian , Wang Shuyi , Xu Haibo , Xiong Bin 
Published: October 2023

AbstractPeritoneal metastasis (PM) is a frequent manifestation of advanced abdominal malignancies. Accurately assessing the extent of PM before surgery is essential for patients to receive optimal treatment. Therefore, we propose to construct a deep learning (DL) model based on enhanced computed tomography (CT) images to stage PM preoperatively in patients. All 168 patients with PM underwent contrast-enhanced abdominal CT before either open surgery or laparoscopic exploration, and peritoneal cancer index (PCI) was used to evaluate patients during the surgical procedure. DL features were extracted from portal venous-phase abdominal CT scans and subjected to feature selection using the Spearman correlation coefficient and LASSO. The performance of models for preoperative staging was assessed in the validation cohort and compared against models based on clinical and radiomics (Rad) signature. The DenseNet121-SVM model demonstrated strong patient discrimination in both the training and validation cohorts, achieving AUC was 0.996 in training and 0.951 validation cohort, which were both higher than those of the Clinic model and Rad model. Decision curve analysis (DCA) showed that patients could potentially benefit more from treatment using the DL-SVM model, and calibration curves demonstrated good agreement with actual outcomes. The DL model based on portal venous-phase abdominal CT accurately predicts the extent of PM in patients before surgery, which can help maximize the benefits of treatment and optimize the patient’s treatment plan.
Graphical abstract
Climate Garden 2085: An easily applicable transdisciplinary public art-science experiment for transformative learning about climate change
Authors: Schlaepfer-Miller Juanita , Kueffer Christoph , Dahinden Manuela 
Published: October 2023

AbstractClimate change education is inherently part of Education for Sustainable Development which has manifold aims to develop transformative learning from primary to tertiary pupils. Climate change is challenging as a school subject, as although it can improve pupils’ knowledge, it is less evident how such knowledge translates into decreasing the value-action gap. Climate change also transverses disciplinary boundaries and teachers struggle to incorporate it into the curriculum. We present a transdisciplinary art-science public experiment—theClimate Garden 2085, as a methodology which has proved a popular tool for schools to engage their pupils with climate change and sustainability. TheClimate Garden 2085is a participatory art-science work that engages school pupils as social groups, and in emotional ways with scientific questions related to the effects of climate change on plant species that are important for food production and gardening. Greenhouses simulating different climate change scenarios engage pupils in a tangible way with climate change effects on plants while accompanying plant science and art workshops allow them to carry out hands on experiments. The garden art-science intervention has so far been created 24 times, with more than 100 workshops, and reached around 40,000 people. It continues to attract major interest by teachers and schools. Based on qualitative observation and some quantitative data, we discuss possible reasons for the attractiveness of the methodology for schools and explore how it might affect awareness and behavioral changes of participants. We propose that the poetic nature of a garden and the length of engagement that the garden affords, combined with the embodied experience and time and place for discussions, has great potential for enabling reflection and action toward climate friendly and sustainable urban futures. We present the project here in order to encourage others to create their ownClimate Garden.
Green to gold: consumer circular choices may boost circular business models
Authors: Lopes João M. , Pinho Micaela , Gomes Sofia 
Published: October 2023

AbstractConsumers are the true agents of transformation in the circular economy. By making conscious and sustainable choices, they drive the development of circular business models, challenging the status quo and inspiring change for a more sustainable future. The main purpose of this paper is to assess the role of consumers in the circular economy as drivers of the development of circular business models. In detail, we explore whether Portuguese citizens make circular consumption choices and what factors influence these choices. An online questionnaire was used to collect data from a sample of 826 Portuguese. The quantitative analysis was performed using the Partial Least Square (PLS) method. Overall, we found that: (i) both pro-environmental habits and environmental concerns positively influence their circular consumption choices, (ii) pro-environmental habits positively influence consumers’ greenwashing perception, and (iii) greenwashing perception highlights environmental concerns. This study demonstrates that by adopting pro-environmental habits, consumers can play a central role in transforming companies’ traditional business models into circular business models. Consequently, a model is proposed where consumers’ motivations for adopting circular behaviors are used to convert the companies’ business model from linear to circular. The model emphasizes the active participation of consumers.
The role of collaboration networks for innovation in immigrant-owned new technology-based firms
Authors: Bolzani Daniela , Scandura Alessandra 
Published: October 2023

AbstractThis paper answers calls for a better understanding of the importance of domestic collaboration networks for innovation in immigrant- and native-owned firms. With a specific focus on the domestic networks established with other firms, research institutions, and business associations, we question whether cultivating such social capital with diverse actors is linked to better innovation performances for immigrant-owned firms. We investigate this research question by exploiting a unique matched-pair sample of immigrant and native domestic entrepreneurs who are active in high-tech mainstream (non-ethnic) markets. Our results show that universities and research institutions, along with business associations, are more important for innovation in immigrant-owned firms. In addition, we discover that immigrant entrepreneurs' acculturation to the host country's culture acts as a substitute for interactions with business associations. These findings contribute to the academic and policy knowledge on the link between immigrant entrepreneurship and innovation in developed countries.
A contact analysis for unconventional mounting processes of angular ball bearings
Authors: Dreon Simone , Scalera Lorenzo , Salvati Enrico 
Published: October 2023

AbstractRigorous protocols must be followed when mounting ball bearings to avoid structural damage and subsequent malfunctioning or unexpected failures. Unconventional mounting procedures may produce excessive contact pressures between the elements of the bearing, therefore the whole process must be well-understood and modelled to prevent unwanted effects. Specifically for angular ball bearings, fitting axial forces should always be applied over the raceway subjected to the shrink-fit to avoid contact forces arising on the ball. In the present study, such an axial force is applied unconventionally, such that the axial force is transferred to the shrink-fit raceway through the balls. In this scenario, the evaluation of the contact areas and the pressure distributions is accomplished by exploiting both analytical and FEM approaches, supported by bespoke experimental tests to determine the relevant frictional coefficients and mounting forces. The study demonstrated how analytical methods can successfully replace more demanding FEM-based tools for the evaluation of the bearing mounting force and contact pressure and extent. FEM modelling can, however, be more accurate when dealing with more generic boundary conditions and more intricate geometrical features involved.
Implementing integrated digital twin modelling and representation into the Snap4City platform for smart city solutions
Authors: Adreani L. , Bellini P. , Colombo C. , Fanfani M. , Nesi P. , Pantaleo G. , Pisanu R. 
Published: October 2023

AbstractRecently, Digital Twins solutions have attracted a growing interest as a fundamental paradigm for managing data driven processes on smart cities. They are complex modelling that should include 3D interactive representations of buildings and infrastructures, integrated with a wide range of data for Smart City cyber-physical ecosystem monitoring and controlling. This paper presents a framework for modelling, generating and distributing Digital Twin representations with 3D models from a various set of data, as well as its integration into the open-source Smart City framework, where many kinds of real time and historical data are available. The proposed solution offers a method for creating integrated data rendering of 3D city entities coupled with Smart City data (e.g., IoT Devices with time-series and historical data, heatmaps, geometries and shapes related to traffic flows, bus routes/stops, cycling paths). The solution for generating 3D representation is based on a number of computer vision and machine learning solutions, thus shortening the activities of passing from raw data (i.e., Lidar, shapes, patterns, etc.) to 3D representations. Implementation has been enforced into the quite widespread open-source Snap4City Smart City platform and has been validated by using hundreds of buildings in Florence city central area, Italy, plus hundreds of thousands of data as points of interest, IoT Devices, traffic flows, dynamic heatmaps, etc.
Hand Preference in Stuttering: Meta-Analyses
Authors: Papadatou-Pastou Marietta , Papadopoulou Anastasia-Konstantina , Samsouris Christos , Mundorf Annakarina , Valtou Maria-Myrto , Ocklenburg Sebastian 
Published: October 2023

AbstractReduced hemispheric asymmetries, as well as their behavioral manifestation in the form of atypical handedness (i.e., non-right, left-, or mixed-handedness), are linked to neurodevelopmental disorders, such as autism spectrum disorder, and several psychiatric disorders, such as schizophrenia. One neurodevelopmental disorder that is associated with reduced hemispheric asymmetries, but for which findings on behavioral laterality are conflicting, is stuttering. Here, we report a series of meta-analyses of studies that report handedness (assessed as hand preference) levels in individuals who stutter (otherwise healthy) compared to controls. For this purpose, articles were identified via a search in PubMed, Scopus, and PsycInfo (13 June 2023). On the basis of k = 52 identified studies totaling n = 2590 individuals who stutter and n = 17,148 controls, five random effects meta-analyses were conducted: four using the odds ratio [left-handers (forced choice); left-handers (extreme); mixed-handers; non-right-handers vs. total)] and one using the standardized difference in means as the effect size. We did not find evidence of a left (extreme)- or mixed-handedness difference or a difference in mean handedness scores, but evidence did emerge, when it came to left-handedness (forced-choice) and (inconclusively for) non-right-handedness. Risk-of-bias analysis was not deemed necessary in the context of these meta-analyses. Differences in hand skill or strength of handedness could not be assessed as no pertinent studies were located. Severity of stuttering could not be used s a moderator, as too few studies broke down their data according to severity. Our findings do not allow for firm conclusions to be drawn on whether stuttering is associated with reduced hemispheric asymmetries, at least when it comes to their behavioral manifestation.
Plasma Treatment and Ozonation of Binary Mixtures: The Case of Maleic and Fumaric Acids
Authors: Shapoval Volodymyr , Ceriani Elisa , Frezzato Diego , Paradisi Cristina , Marotta Ester 
Published: October 2023

AbstractWith respect to ozonation, plasma treatment involves direct contact between the discharge and the contaminated water therefore benefiting, in addition to ozone, also of short-lived reactive species. This paper focuses on mechanistic aspects of water treatment based on plasma activation (in-situ discharge) and ozonation (ex-situ discharge), using maleic acid and fumaric acid as model substrates and dielectric barrier discharges (DBDs) for producing plasma and ozone. Both types of experiments were carried out at different pH values and degradation profiles of residual concentration vs treatment time were compared in experiments in which each acid was treated individually and in mixture with the other. It was found that, under all conditions examined, plasma treatment was more efficient than ozonation for both acids, and that fumaric acid was always more reactive than maleic acid. Peculiar S-shaped degradation curves were obtained for the decay of maleic acid when treated in mixture with fumaric acid under acidic and neutral pH conditions in ozonation and in plasma experiments. This effect was not observed when maleic acid was treated in mixture with phenol instead of fumaric acid. The experimental data are nicely fitted with a simple kinetic model which assumes that a single reactive species, in steady state concentration, is responsible for the attack initiating the pollutants degradation. Based on the complete set of results obtained the conclusion is reached that, in the DBD reactor used, under acidic and neutral pH conditions ozone plays a major role in the degradation of maleic and fumaric acids also in direct plasma treatment.
Tree root-soil interaction: field study of the effect of trees on soil moisture and ground movement in an urban environment
Authors: Sun Xi , Li Jie 
Published: October 2023

Abstract
Aims
Little research has been conducted to quantify the atmosphere-plant-soil interaction in urban environments due to a lack of understanding of plant water use characteristics and the limited availability of high-quality field data. This research aims to quantify the drying effect of root systems of two Australian native tree species on soil water dynamics and ground movement using high-quality field measurement data.

Methods
A long-term field monitoring on soil moisture variation and ground movement close to C. maculata and M. styphelioides, was conducted for up to 45 months in Melbourne, Australia. The water requirement of each tree was monitored using sap flow sensors. Laboratory soil testing was conducted to obtain soil properties and develop profiles of soil suction and water content. The intercorrelation between soil water dynamics and tree soil water use was established.

Results
Tree roots could no longer extract water from the soil when total soil suction exceeded a wilting point of approximately 1000 kPa. The soil profile differences between the two sites were a significant factor causing substantial differences in tree water consumption.

Conclusions
At the C. maculata site, tree-induced soil desiccation occurred to a depth of 1.1 m, while at the M. styphelioides site, it extended down to 2.2 m depth. The tree root-soil interaction analysis shows that water uptake of 10.64 kL by tree roots partially contributes to a 5% decline in soil water content and a 270 kPa rise in soil suction, resulting in a continuous soil settlement of 22 mm.
Frugal and decentralised resolvent splittings defined by nonexpansive operators
Authors: Tam Matthew K. 
Published: October 2023

AbstractFrugal resolvent splittings are a class of fixed point algorithms for finding a zero in the sum of the sum of finitely many set-valued monotone operators, where the fixed point operator uses only vector addition, scalar multiplication and the resolvent of each monotone operator once per iteration. In the literature, the convergence analyses of these schemes are performed in an inefficient, algorithm-by-algorithm basis. In this work, we address this by developing a general framework for frugal resolvent splitting which simultaneously covers and extends several important schemes in the literature. The framework also yields a new resolvent splitting algorithm which is suitable for decentralised implementation on regular networks.
Modified Quaternionic Analysis on the Ball
Authors: Leutwiler Heinz , Waiezi Ehsan 
Published: October 2023

AbstractA natural generalization of the classical complex analysis to higher dimensions is the theory of monogenic functions (see, e.g. Brackx et al. in Clifford analysis, Pitman, Boston, 1982). Unfortunately the powers of the underlying variable are not in this system. But they are in the modified system introduced by the first author in Leutwiler (Complex Var Theory Appl 20:19–51, 1992). Since this modified system lives in the upper half space $${\mathbb {R}}_{+}^{3}$$

R

+

3

it is natural to transplant it—with the so-called Cayley mapping—to the unit ball B(0, 1) in $${\mathbb {R}}^{3}$$

R

3

. It is this transplanted system which we are going to investigate in this article. It represents the counterpart to the theory of (H)-solutions studied in Leutwiler (Complex Var Theory Appl 20:19–51, 1992).
Statin Use and Coronary Artery Calcification: a Systematic Review and Meta-analysis of Observational Studies and Randomized Controlled Trials
Authors: Shahraki Mitra Nekouei , Jouabadi Soroush Mohammadi , Bos Daniel , Stricker Bruno H. , Ahmadizar Fariba 
Published: October 2023

Abstract
Purpose of Review
This review aimed to determine the association between statin use and coronary artery calcification (CAC), as detected by computed tomography in the general population, in previously published observational studies (OSs) and randomized controlled trials (RCTs).

Recent Findings
A systematic search until February 2022 identified 41 relevant studies, comprising 29 OSs and 12 RCTs. We employed six meta-analysis models, stratifying studies based on design and effect metrics. For cohort studies, the pooled β of the association with CAC quantified by the Agatston score was 0.11 (95% CI = 0.05; 0.16), with an average follow-up time per person (AFTP) of 3.68 years. Cross-sectional studies indicated a pooled odds ratio of 2.11 (95% CI = 1.61; 2.78) for the presence of CAC. In RCTs, the pooled standardized mean differences (SMDs) for CAC, quantified by Agatston score or volume, over and AFTP of 1.25 years were not statistically significant (SMD =  − 0.06, 95% CI =  − 0.19; 0.06 and SMD = 0.26, 95% CI =  − 0.66; 1.19), but significantly different (p-value = 0.04). Meta-regression and subgroup analyses did not show any significant differences in pooled estimates across covariates.

Summary
The effect of statins on CAC differs across study designs. OSs demonstrate associations between statin use and higher CAC scores and presence while being prone to confounding by indication. Effects from RCTs do not reach statistical significance and vary depending on the quantification method, hampering drawing conclusions. Further investigations are required to address the limitations inherent in each approach.
Advances in Screening for Radiation-Associated Cardiotoxicity in Cancer Patients
Authors: Schiffer Walter , Pedersen Lauren N. , Lui Matthew , Bergom Carmen , Mitchell Joshua D. 
Published: October 2023

Abstract
Purpose of Review
Radiation is foundational to the treatment of cancer and improves overall survival. Yet, it is important to recognize the potential cardiovascular effects of radiation therapy and how to best minimize or manage them. Screening—both through imaging and with biomarkers—can potentially identify cardiovascular effects early, allowing for prompt initiation of treatment to mitigate late effects.

Recent Findings
Cardiac echocardiography, magnetic resonance imaging (MRI), computed tomography, and measurements of troponin and natriuretic peptides serve as the initial screening tests of choice for RICD. Novel imaging applications, including positron emission tomography and specific MRI parameters, and biomarker testing, including myeloperoxidase, growth differentiation factor 15, galectin 3, micro-RNA, and metabolomics, hold promise for earlier detection and more specific characterization of RICD.

Summary
Advances in imaging and novel applications of biomarkers have potential to identify subclinical RICD and may reveal opportunities for early intervention. Further research is needed to elucidate optimal imaging screening modalities, biomarkers, and surveillance strategies.
Is Early Repolarization Syndrome a Risk for Sudden Cardiac Death in Young Athletes?
Authors: Tremamunno Saverio , Lanza Gaetano Antonio 
Published: October 2023

Abstract
Purpose of review
To review data available in medical literature on the prognostic implications of the detection of an “early repolarization” (ER) pattern at standard electrocardiogram (ECG) in athletes, with particular reference to a possible increased risk of sudden death.

Recent findings
In 2010, a case–control study of patients with vs. without idiopathic ventricular fibrillation in athletes found a higher prevalence of infero-lateral slurring J wave in cases than controls (28.6% vs. 7.6%; p = 0.006). Subsequently, a few studies assessed the prognostic value of the ER pattern (J point/ST-segment elevation with a typical ascending morphology and/or J wave with a notched morphology or with slurred QRS) in populations of athletes. Overall, a number of 3882 athletes were included in 5 studies, 1330 of whom (34.3%) had some evidence of ER pattern. No case of sudden death, as well as no increased risk of cardiovascular events, was reported in these studies.

Summary
Our revision of population studies involving athletes in medical literature failed to find any apparent increase of the arrhythmic risk associated with ER/J wave, which, therefore, should be continued to be considered as benign findings on standard ECG.