bluuebunny/crossref_metadata_2025_split huggingface dataset:
Validation of PANS and effects of ground and wheel motion on the aerodynamic behaviours of a square-back van
Authors: Wang Jiabin , Minelli Guglielmo , Cafiero Gioacchino , Iuso Gaetano , He Kan , Basara Branislav , Gao Guangjun , Krajnović Sinisa 
Published: March 2023

This paper presents a numerical investigation of the effects of the moving ground and rotating wheels on the turbulent flow around a 1/10 scaled square-back van model. A comprehensive comparison among the partially averaged Navier–Stokes (PANS), large eddy simulation (LES) and particle image velocimetry (PIV) involving the aerodynamic drag, the wake topology, the velocity and the Reynolds stress profiles in the wake region is conducted. The proper orthogonal decomposition (POD) and fast Fourier transform (FFT) are applied to the shear layers shedding from the trailing edges to comment on the coherent structures and their frequency content. The Reynolds number for both simulations and experiments is set to Re = 2.5 × 105 based on the inlet velocity

${U_{inf}} = 9\;\textrm{m}\;{\textrm{s}^{ - 1}}$

and the width of the model W = 0.17 m. The results show that PANS accurately predicts the flow field measured in experiments and predicted by a resolved LES, even with a low-resolution grid. The superiority of the PANS approach could provide good guidance for industrial research in predicting the turbulent flow around the square-back van model with affordable computational grids. The ground and wheel motion mechanism on the aerodynamic forces has been revealed by analysing the surface pressure distribution, the wheels’ surrounding flow, the underbody flow characteristics and the turbulent wake structures. The effects of the ground and wheel motion on the frequency, evolution and development characteristics of the wake shear layers are analysed, thus providing relevant insights for future experimental investigations of square-back van models.
Reduction in hippocampal GABAergic transmission in a low birth weight rat model of depression
Authors: Dósa Zita , Nieto-Gonzalez Jose Luis , Elfving Betina , Hougaard Karin Sørig , Holm Mai Marie , Wegener Gregers , Jensen Kimmo 
Published: March 2023

AbstractPrenatal stress is believed to increase the risk of developing neuropsychiatric disorders, including major depression. Adverse genetic and environmental impacts during early development, such as glucocorticoid hyper-exposure, can lead to changes in the foetal brain, linked to mental illnesses developed in later life. Dysfunction in the GABAergic inhibitory system is associated with depressive disorders. However, the pathophysiology of GABAergic signalling is poorly understood in mood disorders. Here, we investigated GABAergic neurotransmission in the low birth weight (LBW) rat model of depression. Pregnant rats, exposed to dexamethasone, a synthetic glucocorticoid, during the last week of gestation, yielded LBW offspring showing anxiety- and depressive-like behaviour in adulthood. Patch-clamp recordings from dentate gyrus granule cells in brain slices were used to examine phasic and tonic GABAA receptor-mediated currents. The transcriptional levels of selected genes associated with synaptic vesicle proteins and GABAergic neurotransmission were investigated. The frequency of spontaneous inhibitory postsynaptic currents (sIPSC) was similar in control and LBW rats. Using a paired-pulse protocol to stimulate GABAergic fibres impinging onto granule cells, we found indications of decreased probability of GABA release in LBW rats. However, tonic GABAergic currents and miniature IPSCs, reflecting quantal vesicle release, appeared normal. Additionally, we found elevated expression levels of two presynaptic proteins, Snap-25 and Scamp2, components of the vesicle release machinery. The results suggest that altered GABA release may be an essential feature in the depressive-like phenotype of LBW rats.
An otolaryngological tour of Vesalius’De Humani Corporis Fabrica
Authors: Conroy Katherine R 
Published: March 2023

AbstractBackgroundAndreas Vesalius published his famous anatomy book,De Humani Corporis Fabrica Libri Septum(On the Fabric of the Body in Seven Books), in 1543, with a second edition in 1555. This article explores the importance of this text to contemporary ENT, by demonstrating Vesalius’ fresh, precise and hands-on approach to anatomy, and examines how this developed our understanding of ENT.MethodsA second edition ofDe Humani Corporis Fabrica, held in John Rylands Library, University of Manchester, was examined in its digitised form and supplemented by secondary texts.Results and discussionWhere Vesalius’ predecessors were rigid in their interpretation of anatomy, confined to the instruction of the Ancients, Vesalius showed that these teachings could be analysed and built on with careful observation. This is evident in his illustrations of, and annotations on, the skull base, ossicles and thyroid gland.
Evaluating a neglected tradition of (Ana)baptist Christology
Authors: Holmes Stephen R. 
Published: March 2023

AbstractOosterbaan identified a tradition of Anabaptist christology running from Ziegler in Strassborg in the 1520s to Menno Simons in the 1550s. I demonstrate that this tradition continued until at least around 1700, first amongst the Waterlander Mennonites in the Netherlands, and then amongst the English General Baptists. I sketch the development and diversity of the tradition, and then ask whether it might be considered ‘orthodox’, and whether reflecting on the scholarly reception of this tradition might help academic theologians to engage better with marginalised Christian communities today.
Transcatheter systemic atrioventricular valve-in-valve implantation in a congenitally corrected transposition of the great arteries patient
Authors: de Carvalho Miguel Martins , Machado Ana Paula , Rodrigues Rui André , Silva João Carlos , Cruz Cristina , Macedo Filipe 
Published: March 2023

AbstractWe present an asymptomatic pregnant patient with congenitally corrected transposition of the great arteries and severe atrioventricular bioprosthesis regurgitation – with increased maternal and fetal risk due to volume overload. She was considered high risk for reintervention and was submitted to an off-label post-partum transcatheter valve-in-valve implantation with a Sapiens 3 valve. The procedure was successful, and she remains asymptomatic 30 months after – and even went through another successful pregnancy.
Longitudinal Reading Measures and Genome Imputation in the National Child Development Study: Prospects for Future Reading Research
Authors: Bridges Elinor C. , Rayner N. William , Mountford Hayley S. , Bates Timothy C. , Luciano Michelle 
Published: March 2023

AbstractReading difficulties are prevalent worldwide, including in economically developed countries, and are associated with low academic achievement and unemployment. Longitudinal studies have identified several early childhood predictors of reading ability, but studies frequently lack genotype data that would enable testing of predictors with heritable influences. The National Child Development Study (NCDS) is a UK birth cohort study containing direct reading skill variables at every data collection wave from age 7 years through to adulthood with a subsample (finaln= 6431) for whom modern genotype data are available. It is one of the longest running UK cohort studies for which genotyped data are currently available and is a rich dataset with excellent potential for future phenotypic and gene-by-environment interaction studies in reading. Here, we carry out imputation of the genotype data to the Haplotype Reference Panel, an updated reference panel that offers greater imputation quality. Guiding phenotype choice, we report a principal components analysis of nine reading variables, yielding a composite measure of reading ability in the genotyped sample. We include recommendations for use of composite scores and the most reliable variables for use during childhood when conducting longitudinal, genetically sensitive analyses of reading ability.
Diversity of New Martian Crater Clusters Informs Meteoroid Atmospheric Interactions
Authors: Neidhart T. , Sansom E. K. , Miljković K. , Collins G. S. , Eschenfelder J. , Daubar I. J. 
Published: March 2023

AbstractWe investigated 634 crater clusters on Mars detected between 2007 and 2021, which represent more than half of all impacts discovered in this period. Crater clusters form when meteoroids in the 10 kg–10 ton mass range break up in Mars' atmosphere to produce a few to a few hundred fragments that hit the ground. The properties of the clusters can inform our understanding of meteoroid properties and the processes that govern their fragmentation. We mapped individual craters >1 m within each cluster and defined a range of cluster properties based on the spatial and size distributions of the craters. The large data set, with over eight times more cluster observations than previous work, provides a more robust statistical investigation of crater cluster parameters and their correlations. Trends in size, dispersion, and large crater fraction with elevation support weak atmospheric filtering of material. The diversity in the number of individual craters within a cluster, and their size‐frequency distributions, may reflect either a diversity in fragmentation style, fragility, or internal particle sizes.
What every dental practitioner should know about how to examine patients with dental implants
Authors: Barrak Fadi , Caga Daniel , Crean StJohn 
Published: March 2023

AbstractDental implants are a common treatment modality provided in both primary and secondary care settings. It is increasingly common for a general dental practitioner to see patients with implant-retained restorations. This article suggests an implant safety checklist for general dental practitioners to help them examine an implant-retained prosthesis.
Parishin A-loaded mesoporous silica nanoparticles modulate macrophage polarization to attenuate tendinopathy
Authors: Zhu Lisha , Wang Yu , Jin Shanshan , Niu Yuting , Yu Min , Li Zixin , Chen Liyuan , Wu Xiaolan , Ding Chengye , Wu Tianhao , Shi Xinmeng , Zhang Yixin , Luo Dan , Liu Yan 
Published: March 2023

AbstractMacrophages are involved mainly in the balance between inflammation and tenogenesis during the healing process of tendinopathy. However, etiological therapeutic strategies to efficiently treat tendinopathy by modulating macrophage state are still lacking. In this study, we find that a small molecule compound Parishin-A (PA) isolated from Gastrodia elata could promote anti-inflammatory M2 macrophage polarization by inhibiting gene transcription and protein phosphorylation of signal transducers and activators of transcription 1. Local injection or sustained delivery of PA by mesoporous silica nanoparticles (MSNs) could almost recover the native tendon’s dense parallel-aligned collagen matrix in collagenase-induced tendinopathy by modulating macrophage-mediated immune microenvironment and preventing heterotopic ossification. Especially, MSNs decrease doses of PA, frequency of injection and yield preferable therapeutic effects. Mechanistically, intervention with PA could indirectly inhibit activation of mammalian target of rapamycin to repress chondrogenic and osteogenic differentiation of tendon stem/progenitor cells by influencing macrophage inflammatory cytokine secretion. Together, pharmacological intervention with a natural small-molecule compound to modulate macrophage status appears to be a promising strategy for tendinopathy treatment.
Blending controlled-release urea and urea under ridge-furrow with plastic film mulching improves yield while mitigating carbon footprint in rainfed potato
Authors: Sun Mengyuan , Ma Bin , Lu Peina , Bai Jianhui , Mi Junzhen , Liu Jinghui 
Published: March 2023

AbstractRidge-furrow with plastic film mulching and various urea types have been applied in rainfed agriculture, but their interactive effects on potato (Solanum tuberosum L.) yield and especially environments remain poorly understood. A three-year experiment was conducted to explore the responses of tuber yield, methane (CH4) and nitrous oxide (N2O) emissions, net global warming potential (NGWP), carbon footprint (CF), and net ecosystem economic budget (NEEB) of rainfed potato to two mulching practices [plastic film mulching (RM) and no plastic film mulching (NM)] and three urea types [conventional urea (U), controlled-release urea (C), and a mixture of equal amounts of conventional urea and controlled-release urea at a ratio of 1:1 (CU)] and their interactions. The results showed that RM significantly decreased cumulative N2O emissions and CH4 uptake by 4.9% and 28.4%, but significantly increased NGWP by 8.9% relative to NM. Compared with U, the C and CU produced much lower cumulative N2O emissions and NGWP and higher CH4 uptake. The interaction of mulching methods and urea type had significant influence on tuber yield and NEEB. Considering both environment and production, RMCU could not only achieve a high tuber yield and NEEB (by up to 26.5% and 42.9%, respectively), but also reduce the CF (by up to 13.7%), and therefore should be considered an effective strategy for dryland potato.
Modeling and optimization of CO2 mass transfer flux into Pz-KOH-CO2 system using RSM and ANN
Authors: Pashaei Hassan , Mashhadimoslem Hossein , Ghaemi Ahad 
Published: March 2023

AbstractIn this research, artificial neural networks (ANN) and response surface methodology (RSM) were applied for modeling and optimization of carbon dioxide (CO2) absorption using KOH-Pz-CO2system. In the RSM approach, the central composite design (CCD) describes the performance condition in accordance with the model using the least-squares technique. The experimental data was placed in second-order equations applying multivariate regressions and appraised applying analysis of variance (ANOVA). Thep-value for all dependent variables was obtained to be less than 0.0001, indicating that all models were significant. Furthermore, the experimental values obtained for the mass transfer flux satisfactorily matched the model values. TheR2and Adj-R2models are 0.9822 and 0.9795, respectively, which, it means that 98.22% of the variations for theNCO2is explained by the independent variables. Since the RSM does not create any details about the quality of the solution acquired, the ANN method was applied as the global substitute model in optimization problems. The ANNs are versatile utensils that can be utilized to model and anticipate different non-linear and involved processes. This article addresses the validation and improvement of an ANN model and describes the most frequently applied experimental plans, about their restrictions and generic usages. Under different process conditions, the developed ANN weight matrix could successfully forecast the behavior of the CO2absorption process. In addition, this study provides methods to specify the accuracy and importance of model fitting for both methodologies explained herein. The MSE values for the best integrated MLP and RBF models for the mass transfer flux were 0.00019 and 0.00048 in 100 epochs, respectively.
Research on schedling optimization of four-way shuttle-based storage and retrieval systems
Authors: Mao Jia , Cheng Jinyuan , Li Xiangyu , Cao Baogui 
Published: March 2023

AbstractIn this paper, we take the four-way shuttle system as the research object and establish the mathematical model of scheduling optimization based on the minimum time for the in/out operation optimization and path optimization scheduling problems of the four-way shuttle system. An improved genetic algorithm is used to solve the task planning, and an improved A* algorithm is used to solve the path optimization within the shelf level. The conflicts generated by the parallel operation of the four-way shuttle system are classified, and the improved A* algorithm based on the time window method is constructed for path optimization through the dynamic graph theory method to seek safe conflict-free paths. Through simulation example analysis, it is verified that the improved A* algorithm proposed in this paper has obvious optimization effect on the model of this paper.
An innovative traffic light recognition method using vehicular ad-hoc networks
Authors: Al-Ezaly Esraa , M. El-Bakry Hazem , Abo-Elfetoh Ahmed , Elhishi Sara 
Published: March 2023

AbstractCar congestion is a pressing issue for everyone on the planet. Car congestion can be caused by accidents, traffic lights, rapid accelerations, deceleration, and hesitation of drivers, as well as a small low-carrying capacity road without bridges. Increasing road width and constructing roundabouts and bridges are solutions to car congestion, but the cost is significant. TLR (traffic light recognition) reduces accidents and traffic congestion caused by traffic lights (TLs). Image processing with convolutional neural network (CNN) lakes dealing with harsh weather. A semi-automatic annotation for traffic light detection employs a global navigation satellite system, raising the cost of automobiles. Data was not collected in harsh conditions, and tracking was not supported. Integrated channel feature tracking (ICFT) combines detection and tracking, but it does not support sharing information with neighbors. This study used vehicular ad-hoc networks (VANETs) for VANET traffic light recognition (VTLR). Information exchange as well as monitoring of the TL status, time remaining before a change, and recommended speeds are supported. Based on testing, it has been determined that VTLR performs better than semi-automatic annotation, image processing with CNN, and ICFT in terms of delay, success ratio, and the number of detections per second.
Feasibility of patch-type wireless 12-lead electrocardiogram in laypersons
Authors: Yoon Sunyoung , Kim Taerim , Kang Eunjin , Heo Sejin , Chang Hansol , Seo Yeoni , Cha Won Chul 
Published: March 2023

AbstractVarious efforts have been made to diagnose acute cardiovascular diseases (CVDs) early in patients. However, the sole option currently is symptom education. It may be possible for the patient to obtain an early 12-lead electrocardiogram (ECG) before the first medical contact (FMC), which could decrease the physical contact between patients and medical staff. Thus, we aimed to verify whether laypersons can obtain a 12-lead ECG in an off-site setting for clinical treatment and diagnosis using a patch-type wireless 12-lead ECG (PWECG). Participants who were ≥ 19 years old and under outpatient cardiology treatment were enrolled in this simulation-based one-arm interventional study. We confirmed that participants, regardless of age and education level, can use the PWECG on their own. The median age of the participants was 59 years (interquartile range [IQR] = 56–62 years), and the median duration to obtain a 12-lead ECG result was 179 s (IQR = 148–221 s). With appropriate education and guidance, it is possible for a layperson to obtain a 12-lead ECG, minimizing the contact with a healthcare provider. These results can be used subsequently for treatment.
Efficient Estimation of the Binaural Masking Level Difference Using a Technique Based on Manual Audiometry
Authors: Davidson Alyssa , Eitel Megan , Lange Rael T. , French Louis M. , Lippa Sara , Brickell Tracey A. , Brungart Douglas 
Published: March 2023

Purpose:
The Masking Level Difference (MLD) has been used for decades to evaluate the binaural listening advantage. Although originally measured using Bekesy audiometry, the most common clinical use of the MLD is the CD-based Wilson 500-Hz technique with interleaved N0S0 and N0Sπ components. Here, we propose an alternative technique based on manual audiometry as a faster way of measuring the MLD. The article describes the advantages to this administration technique and evaluates if it is a viable alternative for the Wilson technique.

Method:
Data were retrospectively analyzed on 264 service members (SMs). All SMs completed both the Wilson and Manual MLDs. Descriptive and correlational statistics were applied to evaluate the comparisons between the two techniques and highlight the differences. Equivalence measures were also completed to compare the tests using a standardized cutoff score. Analyses were also made to compare both techniques to subjective and objective measures of hearing performance.

Results:
Moderate to high positive correlations were determined between Wilson and Manual measures of each threshold (N0Sπ and N0S0). Although the Manual and Wilson MLD techniques produced significantly different thresholds, simple linear transformations can be used to obtain approximately equivalent scores on the two tests, and agreement was high for using these transformed scores to identify individuals with substantial MLD deficits. Both techniques had moderate test–retest reliability. The Manual MLD and components had stronger correlations to the subjective and objective hearing measures than the Wilson.

Conclusions:
The Manual technique is a faster method for obtaining MLD scores that is just as reliable as the CD-based Wilson test. With the significant reduction in assessment time and comparable results, the Manual MLD is a viable alternative for direct use in the clinic.
Adversarial liveness detector: Leveraging adversarial perturbations in fingerprint liveness detection
Authors: Galli Antonio , Gravina Michela , Marrone Stefano , Mattiello Domenico , Sansone Carlo 
Published: March 2023

AbstractThe widespread use of fingerprint authentication systems (FASs) in consumer electronics opens for the development of advanced presentation attacks, that is, procedures designed to bypass a FAS using a forged fingerprint. As a consequence, FAS are often equipped with a fingerprint presentation attack detection (FPAD) module, to recognise live fingerprints from fake replicas. In this work, a novel FPAD approach based on Convolutional Neural Networks (CNNs) and on an ad hoc adversarial data augmentation strategy designed to iteratively increase the considered detector robustness is proposed. In particular, the concept of adversarial fingerprint, that is, fake fingerprints disguised by using ad hoc fingerprint adversarial perturbation algorithms was leveraged to help the detector focus only on salient portions of the fingerprints. The procedure can be adapted to different CNNs, adversarial fingerprint algorithms and fingerprint scanners, making the proposed approach versatile and easily customisable todifferent working scenarios. To test the effectiveness of the proposed approach, the authors took part in the LivDet 2021 competition, an international challenge gathering experts to compete on fingerprint liveness detection under different scanners and fake replica generation approach, achieving first place out of 23 participants in the ‘Liveness Detection in Action track’.