bluuebunny/crossref_metadata_2025_split huggingface dataset:
On-site breakfast provision in early childhood education and care (ECEC) services in Australia: a multi-method investigation
Authors: Park Seon Y. , Zheng Miaobing , Lacy Kathleen E. , Campbell Karen J. , Love Penelope 
Published: February 2025

Abstract

Background
Breakfast is vital for young children’s health. In Australia, breakfast is often provided in government-approved Early Childhood Education and Care (ECEC) services. However, research on breakfast provision in Australian ECEC services is limited. This study aimed to evaluate breakfast quality and enablers and barriers of breakfast provision in these settings.

Methods
A multi-method, sequential explanatory design was employed, including survey, on-site visits, and semi-structured interviews. ECEC services offering breakfast in Victoria, Australia, participated in an online survey to assess breakfast provision quality based on Victorian Health Eating Advisory Service (HEAS) guidelines. Multivariate logistic regression was utilised to identify the relationship between breakfast quality and service characteristics. A subset of services participated in 1-day observational visits and 30-min semi-structured interviews. The on-site visits observed breakfast foods and environments, while interviews explored enablers or barriers of breakfast provision.

Results
Fifty ECEC services participated in the online survey, with common breakfast items such as cereal, bread, and milk being frequently provided, while fruits and vegetables were among the least common items offered. Only 10–16% of services met the HEAS definitions of high-quality standards, and these centres were mostly located in socioeconomically advantaged areas. Of these, four services participated in the on-site observation phase, where the use of full-cream milk and multigrain bread was commonly noted. Additionally, eight interviews (two from each centre) were conducted to explore enablers and barriers to healthy breakfast provision. Key enablers included government funding and the use of nutritional guidelines, while barriers involved time constraints, budget limitations, staffing shortages, and insufficient confidence in applying and utilising nutrition guidance.

Conclusion
Fruits and vegetables are rarely provided at breakfast in ECEC settings, and only a small number of ECEC services met high-quality breakfast standards, with those in socio-economically advantaged areas more likely to achieve these standards. Targeted interventions, particularly in disadvantaged areas, are essential to improve the quality of breakfast provision, with a focus on including fruits and vegetables in line with guidelines. While the findings of this study had jurisdictional limitations, this study highlighted the importance of addressing issues such as time constraints, budget limitations, and staffing shortages, along with establishing practical and clear breakfast guidelines to enhance the quality of breakfast provision in ECEC settings. Further research is needed to explore specific and actionable strategies for implementing these improvements.
Influence of surgeon experience on the incidence of tip fold-over with slim preformed cochlear implant electrodes
Authors: Knörle Esther , Vazzana Caterina , Stöver Timo , Helbig Silke 
Published: February 2025

Abstract

Purpose
To assess whether increasing experience with implantation of a thin preformed electrode array for perimodiolar insertion reduces the incidence of tip fold-over (TFO).

Methods
The retrospective study included 100 patients who received a cochlear implant (CI) with the Slim Modiolar (SM) electrode array (Cochlear, Sydney, Australia) at a university CI centre between November 2015 and December 2022. Postoperative radiological imaging was performed to verify electrode position. Surgical reports and radiological images were reviewed and the incidence of TFO was analyzed for three experienced CI surgeons. In addition, the incidence of intraoperative measurements showing evidence of electrode malposition and the mean duration of surgery over time were documented.

Results
129 SM implantations in 100 patients were included. In seven cases (5.4%) TFO was radiologically detected and successfully revised. In eight cases (6.2%), electrophysiological measurements indicated misplacement and the position was corrected during the same surgery. For one surgeon, five out of 67 implantations (7.5%) were affected by TFO, with the frequency of this complication decreasing over time. The average surgery time for all surgeons was 122.2 (± 44.2) minutes, with two surgeons showing a decrease over time.

Conclusion
The results show a tendency that the SM electrodes can be implanted with a lower complication rate and faster over time. Therefore, it can be assumed that the implantation of the SM electrode requires a certain amount of practice, even for experienced surgeons. As intraoperative electrophysiological measurements detected 71.4% of all radiologically confirmed TFOs, their use is highly recommended.
Integration of a high-resolution melt curve assay into a commercial quantification kit for preliminary identification of biological mixtures
Authors: Smith Chastyn , Williams Andrea L. , Wines Hannah E. , Cloudy Darianne C. , Cox Jordan O. , J. Seashols-Williams Sarah , Boone Edward L. , Green Tracey Dawson 
Published: February 2025

Abstract
In recent years, DNA analysis techniques have drastically increased in sensitivity, allowing for low template DNA samples to be more easily detected and used for identification. Since the problems inherent in low template DNA are exacerbated in DNA mixture samples, it would be advantageous to incorporate an assay earlier in the DNA workflow that could detect a mixture and, potentially, determine the number of contributors. Some real-time PCR instruments have high-resolution melt curve analysis (HRM) capabilities, allowing for an opportunity to integrate an HRM screening assay into a commercial DNA quantification kit. This work describes the integration of a mixture screening HRM assay using STR loci D5S818 and D18S51 into Qiagen’s Investigator Quantiplex® kit. The integrated Quantiplex®-HRM assay was tested on two qPCR platforms: The Rotor-Gene® Q and the QuantStudio™ 6 Flex. Data from this assay was analyzed using linear discriminant and support vector machine analyses for sample classification. When HRM curve data from the Rotor-Gene® Q was used for classification, the integrated assay exhibited an overall accuracy of 89.39%, correctly classifying 87.5% of single source samples and 100% of mixtures. When HRM curve data from the QuantStudio™ 6 Flex was used for classification, the integrated assay exhibited an overall accuracy of 87.88%, correctly classifying 87.5% of single source samples and 90% of mixtures. The overall accuracy of the integrated Quantiplex®-HRM assay on both instruments met our goal of ≥ 80% accuracy, demonstrating the viability of the assay to detect mixtures when integrated into a commercial quantification kit.
Towards a biological view of multiple sclerosis from early subtle to clinical progression: an expert opinion
Authors: Filippi Massimo , Amato Maria Pia , Avolio Carlo , Gallo Paolo , Gasperini Claudio , Inglese Matilde , Marfia Girolama Alessandra , Patti Francesco 
Published: February 2025

Abstract
The classification of multiple sclerosis (MS) into the two distinct phases of relapsing–remitting and progressive, including primary progressive and secondary progressive phenotypes (PPMS and SPMS, respectively) has long been accepted; however, there are several unmet needs associated with this particular model. The observation that both inflammation and neurodegeneration are present from the onset of MS has resulted in a paradigm shift towards MS as a disease continuum driven by pathological mechanisms underlying clinical progression. Here we report the results from a meeting of Italian MS specialists, exploring the evolving perception of MS pathobiology and its implications for diagnosis and treatment. Insights garnered from the expert panel advocate for a redefined understanding of MS. This expert opinion paper reviews the disease continuum and the intertwined nature of inflammatory and neurodegenerative processes. Also, the need for changes in diagnostic criteria and treatment strategies, including the development of novel biomarkers and new therapies targeting smouldering disease, is discussed.
Assessment of choroidal vascularity index in juvenile idiopathic arthritis: implications for disease monitoring
Authors: Yılmaz İbrahim Edhem , Soysal Gizem Gürbostan , Doğru Veysel , Seyyar Sevim Ayca 
Published: February 2025

Abstract

Purpose
Juvenile Idiopathic Arthritis (JIA) can affect ocular structures, but choroidal involvement is not well understood. This study investigates the Choroidal Vascularity Index (CVI) in JIA patients compared to healthy controls and explores its relationship with disease activity.

Methods
In this cross-sectional study, 35 JIA patients and 40 healthy controls underwent comprehensive ophthalmic examination and swept-source optical coherence tomography (SS-OCT). CVI, central macular thickness (CMT), and subfoveal choroidal thickness (SFCT) were measured. The Juvenile Arthritis Disease Activity Score (JADAS) was calculated for JIA patients. Statistical analysis included comparison between groups and correlation analysis.

Results
JIA patients showed significantly lower CVI compared to controls (68.3 ± 2.5% vs. 72 ± 4.6%, p < 0.001). No significant difference was found in SFCT. CVI demonstrated a moderate negative correlation with JADAS (r = -0.368, p < 0.05). However, receiver operating characteristic (ROC) analysis revealed poor diagnostic performance of CVI for detecting JIA (AUC = 0.25).

Conclusion
The study reveals reduced choroidal vascularity in JIA patients and a correlation between CVI and disease activity. While CVI shows limited diagnostic utility, it may serve as a potential marker for monitoring inflammatory burden and treatment response in JIA. Further research is needed to establish its clinical utility fully.
Coccoid Helicobacter pylori in patients with obesity: an immunohistochemical study
Authors: Mayer Chen , Hillel Daniel , Barshack Iris , Schvimer Michael 
Published: February 2025

Abstract

Helicobacter pylori (HP) is a Gram-negative bacterium that infects approximately fifty percent (50%) of individuals worldwide. The coccoid form of HP, a dormant state with altered morphology, has been associated with persistent infections and antibiotic resistance. This study aimed to investigate the prevalence of the coccoid form of HP in patients living with obesity. Sleeve gastrectomy specimens from obese patients and gastric biopsies from non-obese individuals were analyzed. Immunohistochemistry (IHC) staining and histopathological examination were performed to identify and quantify the coccoid forms of HP. Statistical analysis was conducted to compare the results between the two groups. The study included 53 obese patients and 62 non-obese individuals. The percentage of coccoid forms of HP was significantly higher in obese patients compared to non-obese individuals (median 50% vs. 10%, p < 0.001). Type of gastritis was also significantly different between the groups. Obese patients exhibited a higher prevalence of the coccoid form of HP in their gastric mucosa. This finding suggests that the gastric microenvironment in obesity may favor the formation of the coccoid form, potentially impacting the colonization and pathogenicity of HP. The higher prevalence of the coccoid form in obese patients has important clinical implications, as it is more resistant to antibiotics and difficult to eradicate. Alternative treatment strategies may be necessary to effectively manage HP infections in this population. Furthermore, the presence of the coccoid form may increase the risk of HP-associated diseases in obese individuals. Further research is needed to elucidate the underlying mechanisms and explore novel treatment approaches for HP infection in the context of obesity.
Plant species richness and phylogenetic diversity can favor the recovery of dung beetle communities in ecological restoration plots
Authors: Urrea-Galeano Lina Adonay , Santos-Gally Rocío , Rivera-Duarte José D. , Díaz Rojas Alfonso , Boege Karina 
Published: February 2025

Abstract
Plant communities with higher species richness and phylogenetic diversity can increase the diversity of herbivores and their enemies through trophic interactions. However, whether these two features of plant communities have the same positive influence on other guilds through non-trophic mechanisms requires further exploration. Dung beetles represent an ideal system for testing such impacts, as they do not have a specialized trophic interaction with plants and are sensitive to changes in vegetation structure and the associated microclimate. We used a dataset of dung beetles collected from forest sites, restoration plots, and cattle pastures to (a) determine whether the richness and phylogenetic diversity of plants within restoration plots influence the total biomass and the taxonomic, functional, and phylogenetic diversity of dung beetles; and (b) determine if the establishment of restoration plots allows to recover the abundance and diversity of dung beetle communities, relative to what is found in livestock pastures. In the restoration plots, the abundance of Scarabaeinae beetles and the total biomass, functional originality, and phylogenetic diversity of dung beetles were positively related to the number of plant species, but only the abundance of Scarabaeinae and total biomass of all dung beetles were positively related to the plant phylogenetic diversity. Finally, the restoration plots allowed a threefold increase in the total biomass of dung beetles relative to the biomass found in pastures. We discuss how restoration plots with high plant species richness and phylogenetic diversity can favor the recovery of dung beetle communities by potentially creating more niche opportunities.
From Word-Representable Graphs to Altered Tverberg-Type Theorems
Authors: Oliveros Deborah , Torres Antonio J. 
Published: February 2025

Abstract
Tverberg’s theorem states that a set with sufficiently many points in

$${\mathbb {R}}^d$$

R

d

can always be partitioned into m parts such that the nerve (the intersection pattern) of the convex hulls of the parts form an

$$(m-1)$$

(
m
-
1
)

-simplex. De Loera, Hogan, Oliveros, and Yang (2021) explored how other simplicial complexes can emerge as nerve complexes for sufficiently large point sets. In this paper, we establish a connection between the theory of word-representable graphs and a method for encoding the 1-skeletons of simplicial complexes to generate nerve complexes. Specifically, we demonstrate that every triangle-free 2-word-representable graph can be realized as a nerve complex in the plane, given sufficiently many points. Furthermore, for every bipartite graph, there exists a dimension d such that it can be represented as a nerve complex for sufficiently many points in

$${\mathbb {R}}^d$$

R

d

.
Computational homogenization for aerogel-like polydisperse open-porous materials using neural network-based surrogate models on the microscale
Authors: Klawonn Axel , Lanser Martin , Mager Lucas , Rege Ameya 
Published: February 2025

Abstract
The morphology of nanostructured materials exhibiting a polydisperse porous space, such as aerogels, is very open porous and fine grained. Therefore, a simulation of the deformation of a large aerogel structure resolving the nanostructure would be extremely expensive. Thus, multi-scale or homogenization approaches have to be considered. Here, a computational scale bridging approach based on the

$$\hbox {FE}^2$$

FE
2

method is suggested, where the macroscopic scale is discretized using finite elements while the microstructure of the open-porous material is resolved as a network of Euler–Bernoulli beams. Here, the beam frame based RVEs (representative volume elements) have pores whose size distribution follows the measured values for a specific material. This is a well-known approach to model aerogel structures. For the computational homogenization, an approach to average the first Piola–Kirchhoff stresses in a beam frame by neglecting rotational moments is suggested. To further overcome the computationally most expensive part in the homogenization method, that is, solving the RVEs and averaging their stress fields, a surrogate model is introduced based on neural networks. The network’s input is the localized deformation gradient on the macroscopic scale and its output is the averaged stress for the specific material. It is trained on data generated by the beam frame based approach. The effiency and robustness of both homogenization approaches is shown numerically, the approximation properties of the surrogate model is verified for different macroscopic problems and discretizations. Different (Quasi-)Newton solvers are considered on the macroscopic scale and compared with respect to their convergence properties.
Exploring patient experience of rehabilitation within the surgical pathway for lower limb soft tissue sarcoma in the UK: a single-centre study
Authors: Dean Lucy , Cowan-Dickie Siobhan , Strauss Dirk C. , Humphrey Pauline , Cramp Fiona 
Published: February 2025

Abstract

Purpose
The primary treatment for localised soft tissue sarcoma (STS) is surgery. Surgery for lower limb sarcoma is associated with poorer functional outcomes than other anatomical sites. Rehabilitation is essential, yet provision is not standardised, and patient experience of current service delivery is unknown. This study therefore aimed to explore patients’ experiences of rehabilitation in the surgical pathway for lower limb STS at a United Kingdom (UK) specialist centre.

Methods
A qualitative, descriptive phenomenological study was undertaken to explore patients’ rehabilitation experiences. Eight patients who had undergone lower limb STS surgery at a specialist centre were purposively sampled. Data were collected through semi-structured interviews and analysed using thematic analysis.

Results
Three main themes were identified: (1) Accessing the right services at the right time. Participants described good access to inpatient rehabilitation post-operatively but delays and challenges in accessing local services affected continuity of care. Rehabilitation gaps pre-operatively, and in facilitating return to meaningful activities, were described; (2) “Communication is key” — providing knowledge and support to navigate uncertainty. Unclear and unrealistic expectations of recovery were challenging. Communication was key to patients feeling supported and facilitating access to rehabilitation; (3) T
he importance of person-centred rehabilitation. Collaborative, person-centred rehabilitation optimised motivation and engagement.

Conclusion
Participants experienced good access to inpatient rehabilitation post-operatively. In contrast, gaps and delays at other timepoints led to missed opportunities to support preparation for, and recovery from, surgery. A multidisciplinary approach across settings from diagnosis, to deliver person-centred rehabilitation, may improve access, expectation management and continuity of care.
Geometric deep learning for ionospheric TEC modeling using a temporal graph convolutional network
Authors: Kaselimi Maria , Doulamis Nikolaos , Doulamis Anastasios , Delikaraoglou Demitris 
Published: February 2025

Abstract
This document proposes a spatiotemporal deep learning model for ionospheric total electron content (TEC) modeling using global navigation satellite systems (GNSSs) observables. Data from dual-frequency GNSS receivers are used to compute the daily GNSS TEC timeseries. Usually, these timeseries are computed independently per GNSS permanent station, and the state-of-the art models proposed in literature exploit temporal characteristics of the timeseries and neglect any spatial dependencies and information from different stations. In our approach, we propose a practical solution for parallel processing of TEC timeseries and additional indicators from various adjacent stations to predict future VTEC values. We face the problem in both spatial and temporal dimensions adopting a graph neural network-based approach from the broader family of geometric deep learning. According to our proposed scheme, the different adjacent GNSS stations are structured in a graph and then, we apply the proposed temporal graph convolutional network called ION_TGNN. Our model predicts future vertical TEC (VTEC) values for all stations in a single run with mae error better than 1.0 TECU. Comparisons with state-of-the art models show the superiority of the proposed method in terms of performance but also in terms of computational cost during training and test phases.
A semisynthetic, multicofactor artificial metalloenzyme retains independent site activity
Authors: Wertz Ashlee E. , Rosenkampff Ilmari , Ibouanga Philippe , Huber Matthias , Hess Corinna R. , Rüdiger Olaf , Shafaat Hannah S. 
Published: February 2025

Abstract
Native metalloenzymes are unparalleled in their ability to perform efficient small molecule activation reactions, converting simple substrates into complex products. Most of these natural systems possess multiple metallocofactors to facilitate electron transfer or cascade catalysis. While the field of artificial metalloenzymes is growing at a rapid rate, examples of artificial enzymes that leverage two distinct cofactors remain scarce. In this work, we describe a new class of artificial enzymes containing two different metallocofactors, incorporated through bioorthogonal strategies. Nickel-substituted rubredoxin (NiRd), which is a structural and functional mimic of [NiFe] hydrogenases, is used as a scaffold. Incorporation of a synthetic bimetallic inorganic complex based on a macrocyclic biquinazoline ligand (MMBQ) was accomplished using a novel chelating thioether linker. Neither the structure of the NiRd active site nor the MMBQ were altered upon attachment, and each site retained independent redox activity. Electrocatalysis was observed from each site, with the switchability of the system demonstrated through the use of catalytically inert metal centers. This MMBQ–NiRd platform offers a new avenue to create multicofactor artificial metalloenzymes in a robust system that can be easily tuned both through modifications to the protein scaffold and the synthetic moiety, with applications for redox catalysis and tandem reactivity.

Graphical abstract