bluuebunny/crossref_metadata_2025_split huggingface dataset:
How safe are 3D-printed skull models for neurosurgical simulation? Measurement of airborne particles and VOCs while burr hole drilling
Authors: Dissanayaka Nalinda , Alexander Hamish , Carluccio Danilo , Redmond Michael , Vandi Luigi-Jules , Novak James I. 
Published: May 2024

Purpose
Three-dimensional (3D)printed skulls for neurosurgical training are increasingly being used due to the widespread access to 3D printing technology, their low cost and accuracy, as well as limitations and ethical concerns associated with using human cadavers. However, little is known about the risks of airborne particles or volatile organic compounds (VOCs) released while drilling into 3D-printed plastic models. The aim of this study is to assess the level of exposure to airborne contaminants while burr hole drilling.

Design/methodology/approach
3D-printed skull samples were produced using three different materials (polyethylene terephthalate glycol [PETG], white resin and BoneSTN) across three different 3D print processes (fused filament fabrication, stereolithography [SLA] and material jetting). A neurosurgeon performed extended burr hole drilling for 10 min on each sample. Spot measurements of particulate matter (PM2.5 and PM10) were recorded, and air samples were analysed for approximately 90 VOCs.

Findings
The particulate matter for PETG was found to be below the threshold value for respirable particles. However, the particulate matter for white resin and BoneSTN was found to be above the threshold value at PM10, which could be harmful for long periods of exposure without personal protective equipment (PPE). The VOC measurements for all materials were found to be below safety thresholds, and therefore not harmful.

Originality/value
To the best of the authors’ knowledge, this is the first study to evaluate the safety of 3D-printed materials for burr hole surgical drilling. It recommends PETG as a safe material requiring minimal respiratory control measures, whereas resin-based materials will require safety controls to deal with airborne particles.
Optimisation of printing parameters of fused filament fabrication and uniaxial compression failure analysis for four-point star-shaped structures
Authors: Wambua Job Maveke , Mwema Fredrick Madaraka , Akinlabi Stephen , Birkett Martin , Xu Ben , Woo Wai Lok , Taverne Mike , Ho Ying-Lung Daniel , Akinlabi Esther 
Published: May 2024

Purpose
The purpose of this paper is to present an optimisation of four-point star-shaped structures produced through additive manufacturing (AM) polylactic acid (PLA). The study also aims to investigate the compression failure mechanism of the structure.

Design/methodology/approach
A Taguchi L9 orthogonal array design of the experiment is adopted in which the input parameters are resolution (0.06, 0.15 and 0.30 mm), print speed (60, 70 and 80 mm/s) and bed temperature (55°C, 60°C, 65°C). The response parameters considered were printing time, material usage, compression yield strength, compression modulus and dimensional stability. Empirical observations during compression tests were used to evaluate the load–response mechanism of the structures.

Findings
The printing resolution is the most significant input parameter. Material length is not influenced by the printing speed and bed temperature. The compression stress–strain curve exhibits elastic, plateau and densification regions. All the samples exhibit negative Poisson’s ratio values within the elastic and plateau regions. At the beginning of densification, the Poisson’s ratios change to positive values. The metamaterial printed at a resolution of 0.3 mm, 80 mm/s and 60°C exhibits the best mechanical properties (yield strength and modulus of 2.02 and 58.87 MPa, respectively). The failure of the structure occurs through bending and torsion of the unit cells.

Practical implications
The optimisation study is significant for decision-making during the 3D printing and the empirical failure model shall complement the existing techniques for the mechanical analysis of the metamaterials.

Originality/value
To the best of the authors’ knowledge, for the first time, a new empirical model, based on the uniaxial load response and “static truss concept”, for failure mechanisms of the unit cell is presented.
Physics‐reliable frugal local uncertainty analysis for full waveform inversion
Authors: Izzatullah Muhammad , Alali Abdullah , Ravasi Matteo , Alkhalifah Tariq 
Published: May 2024

AbstractFull waveform inversion stands at the forefront of seismic imaging technologies, pivotal in retrieving high‐resolution subsurface velocity models. Its application is especially profound when imaging complex geologies such as salt bodies, which are regions notoriously challenging, yet essential given their hydrocarbon potential. However, with the power of full waveform inversion comes the intrinsic challenge of estimating the associated uncertainties. Such uncertainties are crucial in understanding the reliability of subsurface models, particularly in terrains like subsalt regions. Addressing this, we advocate for a nuanced approach employing the Stein variational gradient descent algorithm. Through a judicious use of a limited number of velocity model particles and the integration of random field‐based perturbations, our methodology provides a local representation of the uncertainties inherent in full waveform inversion. Our evaluations, based on the Marmousi model, showcase the robustness of the proposed technique. Yet, it is our exploration into salt‐intensive terrains, leveraging data from the Sigsbee 2A synthetic model and the Gulf of Mexico, that emphasizes the method's versatility. Findings indicate pronounced uncertainties along salt boundaries and in the deeper subsalt sediments, contrasting the minimal uncertainties in non‐salt terrains. However, anomalies like salt canyons present unique challenges, potentially due to the interplay of multi‐scattering effects. Emphasizing the scalability and cost‐effectiveness of this approach, we highlight its potential for large‐scale industrial applications in full waveform inversion, while also underscoring the necessity for prudence when integrating these uncertainty insights into subsequent seismic‐driven geological and reservoir modelling.
Experimental manipulation of food availability and macroparasite prevalence reveal differential effects on space use in wild rodents
Authors: Brandl Hanja B. , Abdu Salamatu , Farine Damien R. 
Published: May 2024

AbstractResearch Highlight: Mistrick, J., Veitch, J. S. M., Kitchen, S. M., Clague, S., Newman, B. C., Hall, R. J., Budischak, S. A., Forbes, K. M., & Craft, M. E. (2024). Effects of food supplementation and helminth removal on space use and spatial overlap in wild rodent populations. Journal of Animal Ecology. http://doi.org/10.1111/1365‐2656.14067. The spread of pathogens has been of long‐standing interest, even before dramatic outbreaks of avian influenza and the coronavirus pandemic spiked broad public interest. However, the dynamics of pathogen spread in wild populations are complex, with multiple effects shaping where animals go (their space use), population density and, more fundamentally, the resultant patterns of contacts (direct or indirect) among individuals. Thus, experimental studies exploring the dynamics of contact under different sets of conditions are needed. In the current field study, Mistrick et al. (2024) used a multifactorial experimental design, manipulating food availability and individual pathogen infection state in wild bank voles (Clethrionomys glareolus). They found that while food availability, individual traits and seasonality can affect how far individual voles moved, the degree of overlap between individual voles remained largely the same despite a high variation in population density—which itself was affected by food availability. These results highlight how biotic and abiotic factors can shape patterns of space use and balance the level of spatial overlap through multiple pathways.
Effects of component ratios on the properties of sweet potato–oat composite dough and the quality of its steamed cake
Authors: Wei Xinyu , Ren Guangyue , Liu Wenchao , Zhao Mengyue , Xu Duan 
Published: May 2024

AbstractTo enhance the value proposition of sweet potato and oat while broadening their applicability in further processing, this study systematically investigated the impact of oat flour incorporation ratios (5%–25% of sweet potato dry weight) on the quality attributes of sweet potato–oat composite dough and its resulting steamed cake products. The results showed that the addition of oat flour could promote the rheological, water retention, and thermomechanical properties of the composite dough and improve the internal microstructure, specific volume, texture, and other processing properties of the steamed cake products. The rheology, water retention, and protein stability of the dough were maximized when the proportion of oat flour was 25%. The textural properties of steamed cakes, hardness, elasticity, cohesion, adhesion, chewiness, and recovery significantly increased (p < 0.05) and viscosity significantly decreased (p < 0.05) with the addition of oat flour. It is noteworthy that thermodynamic properties, internal structure of the dough, and air holding capacity, which are critical for processing, showed the best results at 20% oat flour addition. Therefore, the addition of 20%–25% oats is recommended to produce composite doughs with optimal quality and processing characteristics.Practical ApplicationAs living standards improve, traditional cereals may no longer able to meet people's health needs. Therefore, there is an urgent consumer demand for nutritious, tasty alternatives to staple foods. In this study, oat flour and sweet potato mash were mixed to make sweet potato–oat cake, and the effect of ingredient ratio on the performance and quality of composite dough containing sweet potato–oat flour was analyzed, thus proposing an innovative approach to the research, development, and industrial production of sweet potato and oat food products.
What do Australians affected by cancer think about oncology researchers sharing research data? A cross‐sectional survey
Authors: Hamilton Daniel G. , Everitt Sarah , Page Matthew J. , Fidler Fiona 
Published: May 2024

AbstractAimPrevious research has shown patients and the public in Australia generally support medical researchers in making de‐identified research data available to other scientists. However, this research has focussed on certain types of data and recipients. We surveyed Australians affected by cancer to characterize their attitudes toward the sharing of research data with multiple third parties, including the public.MethodsA short, anonymous online survey of Australians with a previous diagnosis of cancer was advertised between October 27, 2022, and February 27, 2023. Quantitative responses were analyzed with descriptive statistics. Free‐text responses were coded deductively and summarised using content analysis.ResultsIn total, 551 respondents contributed data to the survey. There was strong support for cancer researchers sharing non‐human and de‐identified human research data with clinicians (90% and 95%, respectively) and non‐profit researchers (both 94%). However, fewer participants supported sharing data with for‐profit researchers (both 64%) or publicly (both 61%). When asked if they would hypothetically consent to researchers at their treatment location using and sharing their de‐identified data publicly, only half agreed. In contrast, after being shown a visual representation of the de‐identified survey data, 80% of respondents supported sharing it publicly.ConclusionAustralians affected by cancer support the sharing of research data, particularly with clinicians and non‐profit researchers. Our results also imply that visualization of the data to be shared may enhance support for making it publicly available. These results should help alleviate any concerns about research participants’ attitudes toward data sharing, as well as boost researchers’ motivation for sharing.
Exploring the therapeutic potential of allogeneic amniotic membrane for quality wound healing in rabbit model
Authors: BN Likhitha , Deshpande Aditya D. , Shukla Smriti , Emmanuel Rony S. , Singh Archita , Thirupathi Yasotha , Singh Vidya , Saikumar G. , Chandra Vikash , Sharma G. Taru 
Published: May 2024

AbstractBackgroundThe amniotic membrane (AM) has shown immense potential in repairing wounds due to its great regenerative qualities. Although the role of AM as a biological scaffold in repairing wounds has been studied well, the tissue regenerative potential of AM‐derived mesenchymal stem cells (MSCs) and conditioned media (CM) derived from it remains to be discovered as of now. Here, we examined the wound healing abilities of fresh and frozen thawed rabbit AM (rAM) along with the MSCs and their lyophilised CM in rabbits challenged with skin wounds.MethodsTo elucidate the role of rAM‐MSCs and its CM in repairing the wound, we isolated it from the freshly derived placenta and characterised their differentiation potential by performing an in vitro tri‐lineage differentiation assay besides other standard confirmations. We compared the wound repair capacities of rAM‐MSCs and lyophilised CM with the fresh and cryopreserved AM at different timelines by applying them to excision wounds created in rabbits.ResultsBy monitoring wound contractions and tissue histology of wounded skin at different time points after the application, we observed that rAM‐MSCs and rAM‐MSC‐derived CM significantly promoted wound closure compared to the control group. We also observed that the wound closure capacity of rAM‐MSCs and rAM‐MSC‐derived CM is as efficient as fresh and cryopreserved rAM.ConclusionOur findings suggest that rAM‐MSCs and rAM‐MSC derived CM can be effectively used to treat skin wounds in animals and correctly delivered to the damaged tissue using AM as a bioscaffold, either fresh or frozen.
Semi‐supervised Gaussian mixture modelling with a missing‐data mechanism in R
Authors: Lyu Ziyang , Ahfock Daniel , Thompson Ryan , McLachlan Geoffrey J. 
Published: May 2024

SummarySemi‐supervised learning is being extensively applied to estimate classifiers from training data in which not all the labels of the feature vectors are available. We present gmmsslm, an R package for estimating the Bayes' classifier from such partially classified data in the case where the feature vector has a multivariate Gaussian (normal) distribution in each of the pre‐defined classes. Our package implements a recently proposed Gaussian mixture modelling framework that incorporates a missingness mechanism for the missing labels in which the probability of a missing label is represented via a logistic model with covariates that depend on the entropy of the feature vector. Under this framework, it has been shown that the accuracy of the Bayes' classifier formed from the Gaussian mixture model fitted to the partially classified training data can even have lower error rate than if it were estimated from the sample completely classified. This result was established in the particular case of two Gaussian classes with a common covariance matrix. Here we focus on the effective implementation of an algorithm for multiple Gaussian classes with arbitrary covariance matrices. A strategy for initialising the algorithm is discussed and illustrated. The new package is demonstrated on some real data.
Adaptation or transformation? A system‐justification perspective on pro‐environmental beliefs and behaviors
Authors: Suchier Johann , Demarque Christophe , Girandola Fabien 
Published: May 2024

AbstractDespite the need for profound systemic change to deal with environmental issues, this is not happening. At a psycho‐sociological level, System Justification Theory has mostly explained environmental inaction by greater environmental denial on the part of individuals motivated to justify the economic system. In this article, and in line with research in political science and sociology, we propose to also take into account the existence of different beliefs concerning the social change needed to deal with environmental problems. While some do advocate for profound transformations of current socio‐economic systems, others propose to maintain and adapt them. Moreover, these beliefs have different implications in terms of the pro‐environmental behaviors (PEBs) to be adopted by individuals. We therefore hypothesized that, independently of environmental denial, individuals who justify the economic system would adhere more to adaptation beliefs (e.g., individualization of responsibility) and reject transformation beliefs (e.g., incompatibility between economic growth and environmental preservation); and that these beliefs would mediate the effects of system‐justification on PEBs depending on whether or not they challenge the economic system. A correlational study (N = 277) corroborated our hypotheses. The importance of taking into account the system‐challenging (or not) nature of some pro‐environmental beliefs and behaviors is discussed.
Self‐reported and accelerometry measures of sleep components in adolescents living in Pacific Island countries and territories: Exploring the role of sociocultural background
Authors: Wattelez Guillaume , Amon Krestina L. , Forsyth Rowena , Frayon Stéphane , Nedjar‐Guerre Akila , Caillaud Corinne , Galy Olivier 
Published: May 2024

AbstractObjectivesThe objective of this study is to assess the concordance and its association with sociocultural background of a four‐question survey with accelerometry in a multiethnic adolescent population, regarding sleep components. Based on questions from the Pittsburgh Sleep Quality Index and adapted to a school context, the questionnaire focussed on estimating sleep onset time, wake‐up time and sleep duration on both weekdays and weekends. This subjective survey was compared with accelerometry data while also considering the influence of sociocultural factors (sex, place of living, ethnic community and socio‐economic status).MethodsAdolescents aged 10.5–16 years (n = 182) in New Caledonia completed the survey and wore an accelerometer for seven consecutive days. Accelerometry was used to determine sleep onset and wake‐up time using validated algorithms. Based on response comparison, Bland–Altman plots provided agreement between subjective answers and objective measures. We categorized participants' answers to the survey into underestimated, aligned and overestimated categories based on time discrepancies with accelerometry data. Multinomial regressions highlighted the sociocultural factors associated with discrepancies.ResultsConcordance between the accelerometer and self‐reported assessments was low particularly during weekends (18%, 26% and 19% aligned for onset sleep time, wake‐up time and sleep duration respectively) compared with weekdays (36%, 53% and 31% aligned, respectively). This means that the overall concordance was less than 30%. When considering the sociocultural factors, only place of living was associated with discrepancies in onset sleep time and wake‐up time primarily on weekdays. Rural adolescents were more likely to overestimate both onset sleep time (B = −1.97, p < 0.001) and wake‐up time (B = −1.69, p = 0.003).ConclusionsThe study found low concordance between self‐assessment and accelerometry outputs for sleep components. This was particularly low for weekend days and for participants living in rural areas. While the adapted four‐item questionnaire was useful and easy to complete, caution should be taken when making conclusions about sleep habits based solely on this measurement.
25 years of Clinical Implant Dentistry and Related Research (CIDRR): A modern bibliometric and Altmetrics network analysis
Authors: Sabri Hamoun , Nava Paolo , Barootchi Shayan , Tavelli Lorenzo , Monje Alberto , Nart José , Wang Hom‐Lay , Saleh Muhammad H. A. 
Published: May 2024

AbstractIntroductionSince its establishment in 1999, the journal of Clinical Implant Dentistry and Related Research (CIDRR) has consistently disseminated notable clinical and translational research within the domain of oral implantology. As the journal approaches its milestone 25th anniversary, this study endeavors to systematically delineate the publication trends, level of evidence, and bibliometric indices characterizing the initial quarter‐century of CIDRR's scholarly activity. Notably, the investigation adopts a contemporary methodology by incorporating Altmetric analysis, thereby enriching the evaluation with an assessment of the broader societal and online impact of the published research.MethodsA comprehensive search was performed in SCOPUS and PubMed to access the bibliographic data of all articles published in the journal from 1999 to 2024. Additionally, Altmetric database was used to obtain social media attention scores (AAS). Journal's overall performance via impact factor and quartile range was assessed. Most cited papers were identified and the most prolific authors, institutions and countries and the collaboration networks among those were assessed. The level of evidence of all articles was determined based on Oxford level of evidence scale. All articles were categorized based on their major topic in the field of implant dentistry.ResultsThroughout its first 25 years of activity, CIDRR published 1912 articles with an annual growth rate of 2.67% and consistently being ranked at Q1 quartile in “Dentistry (miscellaneous)” and “Oral Surgery” journal categories. When clinical studies are considered, level I and II evidence constituted 22.82% and 11.82% of all articles, respectively. Sweden, the USA, and Italy as well as Göteborgs Universitet, Sahlgrenska Akademin. and Malmö Högskola were the most prolific countries and institutions respectively. “Implant system/design/characteristics,” “Bone Augmentation,” and “Implant Prosthesis” were the top most investigated topics.ConclusionsThe examination of the journal's initial 25 years highlighted that CIDRR has surpassed similar dental research journals in publishing a greater number of high‐level evidence articles. It also showcased diverse country‐ and author‐collaboration networks. However, the journal's social media presence is still evolving. This article, presenting a comprehensive overview of the journal's scientometric and bibliographic activities, serves as a valuable reference for researchers, clinicians, and stakeholders, offering insights into both traditional and contemporary perspectives.
Evidence for a role of synchrony but not common fate in the perception of biological group movements
Authors: Cracco Emiel , Papeo Liuba , Wiersema Jan R. 
Published: May 2024

AbstractExtensive research has shown that observers are able to efficiently extract summary information from groups of people. However, little is known about the cues that determine whether multiple people are represented as a social group or as independent individuals. Initial research on this topic has primarily focused on the role of static cues. Here, we instead investigate the role of dynamic cues. In two experiments with male and female human participants, we use EEG frequency tagging to investigate the influence of two fundamental Gestalt principles ‐ synchrony and common fate ‐ on the grouping of biological movements. In Experiment 1, we find that brain responses coupled to four point‐light figures walking together are enhanced when they move in sync vs. out of sync, but only when they are presented upright. In contrast, we found no effect of movement direction (i.e., common fate). In Experiment 2, we rule out that synchrony takes precedence over common fate by replicating the null effect of movement direction while keeping synchrony constant. These results suggest that synchrony plays an important role in the processing of biological group movements. In contrast, the role of common fate is less clear and will require further research.