bluuebunny/crossref_metadata_2025_split huggingface dataset:
Allied health service delivery in residential aged care and the impact of the coronavirus (COVID-19) pandemic: a survey of the allied health workforce
Authors: Meulenbroeks Isabelle , Raban Magdalena Z. , Seaman Karla , Wabe Nasir , Westbrook Johanna 
Published: September 2023

Objectives Industry reports suggest that routine and essential care in Australian residential aged care (RAC), including allied health (AH) services, were disrupted during the coronavirus diseas 2019 (COVID-19) pandemic. This study aimed to explore whether AH services in RAC were paused during the pandemic, factors associated with a pause in care delivery, and qualitative details on how COVID-19 impacted AH service delivery. Methods A 26-question survey was distributed via social media, health service providers, and AH networks between February and April 2022. Participation was restricted to AH professionals and assistants with experience in RAC during the pandemic. A mix of closed and open-ended response questions was used to collect demographic data and experiences of delivering care during the pandemic. Quantitative responses were analysed with descriptive statistics and a probit model. Content analysis was performed on open-ended questions. Results One hundred and four AH professionals and assistants responded to the survey. Fifty-five percent of participants (n = 51) were contractually or casually employed. AH services were negatively impacted by the pandemic with 52% of respondents experiencing a pause in service delivery and 78% reporting poorer AH care quality. In a probit model, contracted/casually employed respondents were more likely to experience a pause in care delivery (1.03, P < 0.05) compared to permanently employed AH professionals. Conclusion Insecure work arrangements may have exacerbated inconsistent care during the pandemic (impacting residents) and may have negative implications on the RAC AH workforce. In the future, an AH inclusive workforce policy including data collection and research is required to monitor and plan the RAC workforce.
Effects of (Li0.5Nd0.5)2+ on the phase evolution, Raman spectra and microwave dielectric properties in CaO–Nd2O3–TiO2 ceramic
Authors: Zhang Xiao , Xiong Zhe , Tang Bin , Yang Chengtao 
Published: September 2023

Abstract
The rapid advancement of mobile communications technology is imposing greater demands on electronic components. Microwave dielectric ceramics with a high dielectric constant (ϵr
) are crucial for the miniaturization and integration of microwave devices. Herein, The perovskite-structured (Ca0.61Nd0.26)1−x
(Li0.5Nd0.5)
x
TiO3 (0 ⩽ x ⩽ 0.8) microwave dielectric ceramics with high ϵr
value were prepared by solid-state reaction method. The results demonstrated that the ϵr
value reached its peak at x = 0.6, which was influenced by the bond valence at B-sites. The τ
f and Q× f values decreased with increasing x value. Doping (Li0.5Nd0.5)2+ at A-sites led to an increase in the full width at half maximum of Raman peaks, indicating higher internal loss. A high dielectric constant and temperature-stable (Ca0.61Nd0.26)0.27(Li0.5Nd0.5)0.73TiO3 ceramic can be sintered with good microwave dielectric properties of ϵr
= 129.4, Q× f= 2,787 GHz, and τ
f = +1.9 ppm/°C.
Adaptive receptive field based on multi-size convolution kernel for micro-defect detection of turbine blades
Authors: Liu Peng , Yuan Xiaolong , Ren Hongfei , Liao Kunyi , Kang Shuwei , Zhang Jianhai 
Published: September 2023

Abstract
Because turbine blades are essential parts of aircraft engines, micro-defects on the surface of turbine blades induce accidents in aircraft crashes. The detection of micro-defects in aerospace turbine blades is achieved within the realm of non-destructive evaluation. Given that most of the defects are tiny and spread randomly on a curved surface, which cannot be completely detected by current target detection methods, it is feasible for micro-defects to be effectively detected by the fluorescent magnetic particle method. In this paper, we propose a Defect Classification (DCLS)-Deformable Detection Transformer (DETR) model to inspect micro-defects in an automatic fluorescent magnetic particle inspection system. In the DCLS-Deformable DETR model, an adaptive receptive field (ARF) attention module is designed, which considers the interdependencies between the channel features of different feature maps. The weights between the channels of each feature map were also considered, while adaptively adjusting the receptive field according to the detection target size. The DCLS-Deformable DETR model with ARF increased the AP from 63.4% to 64% and AP50 from 95.2% to 97.2%, compared to the Deformable DETR. Turbine blades include three typical defects: linear cracks, reticular cracks, and pitting corrosion. Compared with the original model, the proposed model enhances the AP of three defect types by 1.8%, 2% and 4.7% respectively. The DCLS-Deformable DETR model considers the position, level information, and channel information of the input samples, which can capture micro-defects around large defects.
Modeling CDRX and MDRX during hot forming of zircaloy-4
Authors: Grand Victor , Flipon Baptiste , Gaillac Alexis , Bernacki Marc 
Published: September 2023

Abstract
A recently developed full field level-set model of continuous dynamic recrystallization is applied to simulate zircaloy-4 recrystallization during hot compression and subsequent heat treatment. The influence of strain rate, final strain and initial microstructure is investigated, by experimental and simulation tools. The recrystallization heterogeneity is quantified. This enables to confirm that quenched microstructures display a higher extent of heterogeneity. The simulation results replicate satisfactorily experimental observations. The simulation framework is especially able to capture such recrystallization heterogeneity induced by a different initial microstructure. Finally, the role of intragranular dislocation density heterogeneities over the preferential growth of recrystallized grains is pointed out thanks to additional simulations with different numerical formulations.
Propagation of a pulsed nanosecond discharge on a water surface in non-symmetrical configuration, and comparison with the symmetrical configuration
Authors: Hamdan Ahmad , Herrmann Antoine 
Published: September 2023

Abstract
Non-thermal plasmas produced by pulsed nanosecond discharges at atmospheric pressure are of great interest for fundamental as well as technological and environmental applications due to their high reactivity. When generated in air in contact with water, these discharges induce many physical and chemical phenomena at the interface, including pattern formation. Although the patterns generated in symmetrical configuration have been extensively studied, those produced by asymmetrical discharges are not well characterized. In this study, we report the propagation dynamics of a nanosecond discharge produced in air in contact with water using electrodes mounted in parallel direction relative to the water surface (i.e. asymmetric configuration). The influence of the high voltage polarity and water electrical conductivity on the discharge pattern is investigated using fast imaging and electrical diagnostics. The obtained results demonstrate that under positive voltage polarity, plasma dots are produced along the ionization front. These dots have been previously observed in symmetrical configuration; however, their propagation velocity is greater in asymmetrical configuration, particularly in front of the anode. Under negative polarity conditions, a homogeneous emission pattern is observed, except in the area in front of the cathode, where dots are detected in the ionization front. Based on this data, the E-field threshold beyond which plasma dots are formed is estimated to be ∼5 × 108 V m−1. Overall, the results reported herein provide a fundamental understanding of plasma-water interactions.
Bloch oscillations in anti-PT-symmetric electrical circuit resonators
Authors: Wang Xiumei , Jiang Hengxuan , Sun Jinyang , Pan Keyu , Shen Xizhou , Chen Xi , Chen Jie , Zhou Xingping 
Published: September 2023

Abstract
Bloch oscillation is a phenomenon from solid state physics, describing a wave packet in periodic potential undergoing periodic oscillations in space, returning to the initial position after one oscillation cycle, under the action of a weak constant force. This wave phenomenon pertains to many physical systems including acoustic or optical resonators, and optical waveguides. Herein, we demonstrate discrete diffraction and Bloch oscillations, in a non-Hermitian electric circuit chain with anti-parity-time (APT) symmetry. The electric circuit chain consists of an LC circuit with operational amplifiers. We theoretically investigate the time-domain dynamics in different symmetry phases of the system. The time evolution of the envelope of voltage is in excellent agreement with coupled mode theory numerical calculations.
Transport phenomena in the near-field region of Stefen flow
Authors: Xiong Zhewen , Cao Haishan 
Published: September 2023

Abstract
Stefan flow is a transport phenomenon concerning the movement of one component of a multi-component mixture that is induced by the production or removal of the component at an interface. Fick’s law is often used to describe the transport phenomena in many physical and chemical processes. However, when the system scales down to the order of molecular mean free path, the influence of interface that is not considered in Fick’s law, cannot be neglected. To predict the transport phenomena in the near-field region, the Herz-Knudsen (HK) relation is often adopted, in which the near-field region controlled by the HK relation was assumed as a zero-thickness layer. Our theoretical analysis has shown that this assumption is less physically realistic. In this study, we derive the thickness of the near-field region through the analysis of the theoretical binary diffusion coefficient and corresponding mass flux. Based on the analysis, we propose a modified Fick’s law to describe the far-field and near-field regions separately. The validity of this modified Fick’s law and its difference from Fick’s law coupled with the HK relation are demonstrated by comparing the partial pressure distributions of binary mixtures, predicted by the two versions of Fick’s law and the Direct Simulation Monte Carlo (DSMC) method, due to the deposition of one component on a cold surface. The comparison results show that the modified Fick’s law outperforms the Fick’s law coupled with the HK relation in accuracy at high deposition coefficients for H2O/N2 mixture and in stability within the range of this study. Moreover, the situations when the modified Fick’s law is required are discussed. This study provides a more molecular-level insight into the transport phenomena in the near-field region of Stefen flow.
A local rewiring strategy for accelerating information propagation under complex propagation mechanism
Authors: Song Jiahui 
Published: September 2023

Abstract
Controlling the spread of information or rumors in complex networks has always been a subject of extensive attention and research. Generally speaking, taking the most influential node in the network as the propagation spreader or cutting off the most important link in the propagation process can maximize the promotion or suppression of information transmission. Therefore, many scholars have put forward many measurement methods to identify specific nodes and links in the network, and their theories are becoming more and more mature. However, in the face of large-scale networks, most of these methods are exposed to high computational complexity, low accuracy, and only applicable to specific networks. Some scholars try to enhance (inhibit) the dissemination of information by adding or deleting links, but the structural characteristics of the original network will be changed to a large extent, which also means that some basic functions related to the network have been changed. In this work, we propose a rewiring strategy to accelerate information propagation under complex propagation mechanism, which increases the number of redundant links by rewiring the second-order neighborhood of the initial propagation node. At the same time, the rewiring strategy preserves the degree distribution of nodes and modularization feature of the original network to a large extent. We apply our strategy to simulate the complex propagation of the information propagation (IST(I)) model on different networks. The simulation results show that the rewired network can accelerate the propagation of information more effectively, and the number of spreaders in the network increases significantly, and the propagation rate of information is enhanced significantly. In addition, this paper also proposed for the first time an index that quantifies both the transmission ability and infectivity of the information at the micro level, namely the number of regenerated infections

κ
,

which was optimally estimated by statistical inference. We also compare the changes of various topological characteristics of the network before and after the rewiring. We find that the structural characteristics related to the propagation dynamics of the network after the rewiring are significantly enhanced.
Weight thresholded regularized robust coding for vision sensing-based hand gesture detection in collaborative robotics
Authors: Ghosh Saibal , Paral Pritam , Chatterjee Amitava 
Published: September 2023

Abstract
Vision sensing-based hand gesture recognition is considered an important contemporary research problem of collaborative robotics in a human-robot coexisting environment. The problem becomes more complex in challenging environments, where a robot needs to correctly recognize a human gesture to perform navigation or some other designated job, even in the presence of poor illumination conditions, occlusion, etc. This work proposes a novel approach of successfully utilizing regularized robust coding (RRC)-based models to solve such hand gesture detection problems in real-life, challenging situations. The RRC model is used for robust regression of a signal or image and is known as an improvement over the classical sparse representation-based classification (SRC) model. In this work, we propose three novel variants of weight thresholding mechanism in conjunction with RRC (named WTRRC algorithms) which essentially employ more error-tolerant concepts of logistic functions for weight update, when the dictionary is formed by real-world, photometrically irregular hand gesture images. Extensive case studies in real-world environments (i) with poor illumination, and (ii) with both poor illumination and occlusions firmly establish superior performances of the proposed WTRRC variants compared to other state-of-the-art algorithms in such collaborative robotics problems.
Phantom cosmologies from the simplest parameterization of the DE model using observational data in a BI type universe
Authors: Hossienkhani H. , Mahmoodi F. , Fayaz V. , Terohid S.A.A. , Azimi N. , Zarei Z. 
Published: September 2023

Abstract
To scrutinize the nature of dark energy, many equations of state have been proposed. In this context, we examine the simplest parameterization of the equation of state parameter of dark energy in an anisotropic Bianchi type I universe compared with the ΛCDM model. Using different combinations of data samples, including Pantheon and Pantheon + H(z), alongside applying the minimization of the

function of the distance modulus of data samples, we obtain the constrained values of cosmographic parameters in the parameterization of the dark energy scenario. One condition of the phantom barrier crossing is acquired. Several physical properties of the universe are discussed by considering the anisotropy effect and different observational data points. One should note that the deductions of the cosmological parameter verify recent observational data.
List-mode quantitative joint reconstruction of activity and attenuation maps in Time-of-Flight PET
Authors: Hemmati Hamidreza , Kamali-Asl Alireza , Ghafarian Pardis , Rahmim Arman , Zaidi Habib , Reza Ay Mohammad 
Published: September 2023

Abstract
Quantitative PET imaging requires accurate determination of
patient-specific attenuation maps, which remains challenging on
hybrid PET/MRI systems owing to the lack of a direct relationship
between MR image intensity and attenuation coefficients. The aim of
the present study is to develop a list-mode based algorithm for
accurate and robust attenuation correction of PET data using
time-of-flight (TOF) emission information. We analyze and address
the challenges of list-mode emission-based maximum-likelihood joint
estimation of activity and attenuation (LM-MLAA) in state-of-the-art
PET imaging. The proposed method exploits a rapid on-the-fly system
matrix calculation algorithm based on elliptic integrals while
updating the attenuation map from accumulating list-mode
coincidences to achieve accelerated image reconstruction. The
scattering compensation is incorporated inside it using an iterative
approach in such that the current estimation of attenuation map used
on a course grid sampling scattering points to make an estimate of
scattering. The performance of the proposed LM-MLAA approach was
evaluated on Monte Carlo simulations of a phantom at different time
resolutions. The contrast and noise for hot and cold regions on
reconstructed images at different time resolutions were
analysed. The estimated attenuation map exhibits resilience against
noise, effectively eliminates high-frequency cross-talk even in the
absence of prior information on attenuation coefficients, and
enables discrimination among different anatomical regions in the
reconstructed image. The error in the mean estimated attenuation
coefficients after 50 iterations was ∼ 2% in water and
∼ -14% in Teflon regions for TOF resolutions corresponding to
those of most current commercial PET systems (∼ 500 ps). The
proposed LM-MLAA framework can be used for joint reconstruction of
activity and attenuation maps from list-mode emission data as
standalone or a complementary approach to existing in multimodality
imaging such as PET/MRI, where direct measurement attenuation maps
is not possible.
Industrial gamma-ray computed tomography utilizing rod plastic scintillators
Authors: Taheri Ali , Askari Mojtaba , Biganeh Ali , kochakpour Javad 
Published: September 2023

Abstract
In this work, an industrial gamma-ray-based computed
tomography system is constructed using a 50 cm rod plastic
scintillator coupled to PMTs at both ends. The ability of the system
is evaluated using two phantoms: one for contrast and one for
spatial resolution. Different cross-sectional images are
reconstructed for the phantoms using MLEM algorithm to extract
evaluation parameters. Such a system is suitable for scanning large
objects due to its spatial resolution limitation, which is about 1
cm.
Crater-like nanoelectrode arrays for electrochemical detection of dopamine release from neuronal cells
Authors: Cho Yeon-Woo , Park Joon-Ha , Kang Min-Ji , Kim Tae-Hyung 
Published: September 2023

Abstract
Stem cell therapy has shown great potential in treating various incurable diseases using conventional chemotherapy. Parkinson’s disease (PD)—a neurodegenerative disease—has been reported to be caused by quantitative loss or abnormal functionality of dopaminergic neurons (DAnergic neurons). To date, stem cell therapies have shown some potential in treating PD through ex vivo engraftment of stem-cell-derived neurons. However, accurately identifying the differentiation and non-invasively evaluating the functionality and maturity of DAnergic neurons are formidable challenges in stem cell therapies. These strategies are important in enhancing the efficacy of stem cell therapies. In this study, we report a novel cell cultivation platform, that is, a nanocrater-like electrochemical nanoelectrode array (NCENA) for monitoring dopamine (DA) release from neurons to detect exocytotic DA release from DAnergic neurons. In particular, the developed NCENA has a nanostructure in which three-dimensional porous gold nanopillars are uniformly arranged on conductive electrodes. The developed NCENA exhibited great DA sensing capabilities with a linear range of 0.39–150 μM and a limit of detection of 1.16 μM. Furthermore, the nanotopographical cues provided by the NCENA are suitable for cell cultivation with enhanced cellular adhesion. Finally, we successfully analysed the functionality and maturity of differentiated neurons on the NCENA through its excellent sensing ability for exocytotic DA.
Impact of lateral melting on Arctic sea ice simulation in a coupled climate model
Authors: Fang Yongjie , Wu Tongwen , Wu Fanghua , Li Jianglong 
Published: September 2023

Abstract
Lateral melting is an important process driving the sea ice decay, yet it is not well represented in many Coupled Model Intercomparison Project Phase 6 (CMIP6) models. This study explores the impact of lateral melting on Arctic sea ice simulation by implementing lateral melting and floe size parameterization schemes in the medium resolution version of the Beijing Climate Center Climate System Model. Results from a series of CMIP6 historical-type experiments indicate that inclusion of lateral melting results in a reduction in both the Arctic sea ice concentration and thickness, thus improving the sea ice extent and volume simulation. Lateral melting increases open waters, leading to an enhanced net sea surface heat flux into the ocean and further increased lateral and bottom melting. This positive feedback is intensified from 1982 to 2014, particularly when the floe size parameterization scheme is introduced. This accelerates the Arctic sea ice decline from 1982 to 2014 in the model, which is more consistent with observations. Further analysis indicates that the enhancement of this feedback is associated with accelerated lateral melting due to the increased (decreased) trend of the sea surface temperature (floe size) from 1982 to 2014. This study highlights that sea ice lateral melting is an important factor affecting the simulation of Arctic sea ice decline and needs to be better represented in current climate models.