bluuebunny/crossref_metadata_2025_split huggingface dataset:
Providing guideline-recommended preventive cardiovascular care to Aboriginal and Torres Strait Islander women: exploring gender differences with a medical record review in primary health care
Authors: McBride Katharine , Howard Natasha J. , Franks Christine , King Veronica , Wade Vicki , Dowling Anna , Rigney Janice , Burton Nyunmiti , Mitchell Julie Anne , Hillier Susan , Nicholls Stephen J. , Paquet Catherine , Brown Alex 
Published: August 2022

Background For Aboriginal and Torres Strait Islander women, the premature burden of cardiovascular disease is affecting their capacity to fulfil roles in society, and promote the health and wellbeing of future generations. In Australia, there is limited understanding of the difference in primary preventive cardiovascular care experienced by women, despite knowledge of sex and gender differentials in health profile and receipt of guideline-based acute care. This paper sought to explore the health profile and receipt of assessment and management of cardiovascular risk for Aboriginal and Torres Strait Islander women accessing preventive primary health care, and investigate gender differentials. Method Records of 1200 current clients, 50% women, aged 18–74 years from three Aboriginal Health Services in central and South Australia for the period 7/2018–6/2020 were reviewed. Results Twelve percent had documented cardiovascular disease. Compared with men, women with no recorded cardiovascular disease had a greater likelihood of being overweight or obese, a waist circumference indicative of risk, diabetes, and depression. Women were less likely to report being physically active. Conclusions The research concluded that gaps exist in the provision and recording of guideline-recommended primary preventive care regardless of sex. These are stark, given the evident burden.
Final report on the supplementary comparison EURAMET.AUV.V-S2
Authors: Rosenkranz Peter , Hof Christian 
Published: August 2022

Main text
The supplementary comparison EURAMET.AUV.V-S2 has been carried out within the framework of the CIPM MRA. The specific task of this comparison is the measurement of the magnitude and phase of the sensitivity of single-ended accelerometers in the medium frequency domain (10 Hz to 10000 Hz). The sensitivity is calculated as the ratio of the amplitude of the output of the accelerometer to the amplitude of the acceleration at its reference surface with secondary means in accordance with ISO 16063-21 "Methods for the calibration of vibration and shock transducers - Part 21: Vibration calibration by comparison to a reference transducer". The participating NMIs are BEV (Austria), and METAS (Switzerland). BEV (Austria) was the pilot laboratory of this bilateral comparison. The measurements took place between November 2021 and January 2022. A single-ended accelerometer was circulated. This report includes the measurement results, information about calibration methods, and the analysis leading to the assignation of equivalence degrees.
To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database https://www.bipm.org/kcdb/.
The final report has been peer-reviewed and approved for publication by the CCAUV, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Engineering the nanostructures of solution proceed In2Se
x
S3−x
films with enhanced near-infrared absorption for photoelectrochemical water splitting
Authors: Liu Baoze , Chu Wenlong , Liu Siyu , Zhou Yajiao , Zou Luwei , Fu Junwei , Liu Min , Fu Xuewen , Ouyang Fangping , Zhou Yu 
Published: August 2022

Abstract
Two-dimensional (2D) materials have been utilized for the photoelectrochemical (PEC) production of hydrogen by water splitting, however the reaction performance of which is limited by thermodynamic protons adsorptions, the specific materials solar absorption spectrum, materials carrier mobility and lifetime. Here, we report a facile solution processed method for the synthesis of 2D In2Se
x
S3−x
alloy films, in which the obvious crystalline to amorphous transition was observed as the annealing temperature decreased from 400 °C to 80 °C. Different porous nanostructures of the films have been created by the temperature controls, showing over 200% absorption in the near-infrared range for the sample that annealed at 400 °C than the other samples. The transient absorption measurements of crystalline samples are clearly shown the carrier lifetime is dramatically improved than the amorphous samples, which are critical to the hydrogen evolution performance. Finally, the PEC water splitting performances have been measured to discuss the structure-properties relations, showing the overpotentials reduction of over 100 mV for enhanced near-infrared absorption samples. This work clearly gives out the optical structure and crystal structure design strategy for improving the PEC performance.
A new camera model combining an analytical model and a discrete correction to overcome refractive index variation challenges
Authors: Acher Gwenaël , Thomas Lionel , Tremblais Benoit , David Laurent 
Published: August 2022

Abstract
When performing Tomo-PIV experiments, the calculation of accurate camera models is a key point for successful measurements. In severe configurations, where optical interfaces are involved and refractive index variations occur along the line of sight, analytical models can fail to accurately represent the projection and back-projection functions. This inability can lead to significant inaccuracies in particle location and volume reconstruction, which has a considerable impact on the calculation of velocity fields. In order to overcome these limitations, an innovative camera model based on the combination of an analytical model, such as a pinhole model or a polynomial model, with discrete corrections is proposed. In this method, the analytical projection and back-projection are adjusted with a discrete correction stored in two adaptive grids that save both memory and computation time. These correction grids require calibration which is performed with triangulation procedures similar to those used in misalignment corrections. The calculation and operation of the model are described in this paper. The performance of the camera model is evaluated on simulated and experimental setups based on a large depth-of-field calibration performed in a glass water tank. The presence of multiple optical interfaces and fluids, resulting in large light deviations, makes it difficult to compute a high accuracy camera model. In this configuration, the proposed technique successfully reduces the triangulation error from 1 pixel to less than 0.01 pixel. The usefulness of the model is demonstrated in a Tomo-PIV experiment where the deflection of light through the water tunnel walls prevents classical analytical functions from accurately modelling the projection and back-projection functions. This corrected model can also solve discontinuity problems in the projection functions and can be used when there are interfaces in the measurement volume. It opens new perspectives in the study of fluid-structure interaction when transparent solids are involved.
Automatic pointer meters recognition system based on line scan vision
Authors: Wang Qing 
Published: August 2022

Abstract
The automatic recognition of pointers is of great significance for efficiently collecting measurements from industrial instruments. In this paper, an automatic pointer meter recognition system based on line scan vision is developed. A line scan camera is used to capture images of the pointer of a pointer meter. Light-spot centroid algorithm is implemented to determine the centroid position of the pointer. The captured images can record the dynamic movement of the pointer, thereby enabling condition monitoring in industrial processes. Experimental results show that the proposed pointer meter extraction method is robust against interference and that a characteristic segmentation classifier produces more accurate detection results than other approaches.
Local dimensions of self-similar measures satisfying the finite neighbour condition*
Authors: Hare Kathryn E , Rutar Alex 
Published: August 2022

Abstract
We study sets of local dimensions for self-similar measures in

R

satisfying the finite neighbour condition, which is formally stronger than the weak separation condition (WSC) but satisfied in all known examples. Under a mild technical assumption, we establish that the set of attainable local dimensions is a finite union of (possibly singleton) compact intervals. The number of intervals is bounded above by the number of non-trivial maximal strongly connected components of a finite directed graph construction depending only on the governing iterated function system. We also explain how our results allow computations of the sets of local dimensions in many explicit cases. This contextualises and generalises a vast amount of prior work on sets of local dimensions for self-similar measures satisfying the WSC.
Frequency–dependence of power and efficiency for resonant inductive coupling and magnetoelectric wireless power transfer systems
Authors: Andersen Erik , Roundy Shad , Truong Binh Duc 
Published: August 2022

Abstract
The frequency dependence of the maximum output power and efficiency of two wireless power transfer systems (WPTSs), resonant inductive coupling (RIC) and magnetoelectric (ME), are investigated. We find that in the weak–coupling regime, the power optimization and efficiency maximization problems are equivalent and yield the same optimal load and frequency. These properties apply to both topologies under consideration. Despite the apparent difference in the energy conversion mechanisms, the two structures result in similar explicit forms of maximum power delivered to the load, and so does the optimum transfer efficiency. We discuss the essential role of a figure of merit for each configuration and show how they affect the overall performance. For a weakly–coupled inductive WPTS, both the maximum transferred power and efficiency are positively proportional to drive frequency squared. In the case of a ME–based architecture, the dependence of power and efficiency on frequency is the consequence of the transducer geometry optimization problem, subject to a volume constraint. Under a constant mechanical quality factor condition, both quantities are linearly proportional to the operating frequency. While the focus of this paper is RIC and ME mechanisms, some of the findings are also valid for relevant inductive energy harvesting or magneto–mechano–electric WPTSs.
Anisotropic mode excitations and enhanced quantum interference in quantum emitter-metasurface coupled systems
Authors: Fang Wei , Chen Ying , Zeng Yali , Ou Congjie , Li Gao-xiang , Yang Yaping 
Published: August 2022

Abstract
This study proposes a nanophotonic structure that supports quantum interference (QI) between orthogonal decay channels in multilevel quantum emitters within the framework of the quantum master equation. The Green functions of the electric field are obtained by applying boundary conditions in the presence of two-dimensional metasurfaces. We demonstrate distinct in-plane excitation features of the surface plasmon modes (SPMs) with the anisotropic metasurfaces tailored to conductivity components. In particular, we observed that the Purcell factor of transitions with orthogonal polarizations experiences unequal enhancements, owing to the anisotropic propagation of the SPMs. This property depends only on the anisotropy of the metasurfaces; thus, it is easily manipulated. Using this platform and considering experimentally achievable material parameters, we predict a strong interference effect in three-level quantum emitters. In principle, this enables the generation of maximum QI. Our study provides a method for realizing QI systems and has potential applications in highly integrated, tuneable quantum devices.
Nonclassicality and teleportation fidelity of coherent photon-subtracted two-mode squeezed thermal states
Authors: Li Heng-Mei , Wang Zhen , Yang Bao-Hua , Yuan Hong-Chun 
Published: August 2022

Abstract
The coherent photon-subtracted two-mode squeezed thermal states (CPS-TMSTS) are theoretically introduced by successively performing coherent photon subtraction operation on the two-mode squeezed thermal states (TMSTS). Based upon the normalization factor which is related to bivariate Hermite polynomials, the nonclassicality and non-Gaussianity are analyzed according to the Wigner function. It is shown that the coherent photon subtraction operation is an effective manner in generating nonclassicality and non-Gaussianity. Furthermore, the fidelity in teleporting coherent states using CPS-TMSTS as entangled resources is quantified both analytically and numerically. It is shown that the quantities of fidelity are clearly larger than that in the original TMSTS, and it can be further improved by modulating control parameters effectively. The CPS-TMSTS, as the ideal entangled resources with higher quantum teleportation fidelity, shall have potential applications in quantum optics tasks.
Decoding trajectories of imagined hand movement using electrocorticograms for brain–machine interface
Authors: Jang Sang Jin , Yang Yu Jin , Ryun Seokyun , Kim June Sic , Chung Chun Kee , Jeong Jaeseung 
Published: August 2022

Abstract

Objective. Reaching hand movement is an important motor skill actively examined in the brain–computer interface (BCI). Among the various components of movement analyzed is the hand’s trajectory, which describes the hand’s continuous positions in three-dimensional space. While a large body of studies have investigated the decoding of real movements and the reconstruction of real hand movement trajectories from neural signals, fewer studies have attempted to decode the trajectory of the imagined hand movement. To develop BCI systems for patients with hand motor dysfunctions, the systems essentially have to achieve movement-free control of external devices, which is only possible through successful decoding of purely imagined hand movement. Approach. To achieve this goal, this study used a machine learning technique (i.e. the variational Bayesian least square) to analyze the electrocorticogram (ECoG) of 18 epilepsy patients obtained from when they performed movement execution (ME) and kinesthetic movement imagination (KMI) of the reach-and-grasp hand action. Main results. The variational Bayesian decoding model was able to successfully predict the imagined trajectories of the hand movement significantly above the chance level. The Pearson’s correlation coefficient between the imagined and predicted trajectories was 0.3393 and 0.4936 for the KMI (KMI trials only) and MEKMI paradigm (alternating trials of ME and KMI), respectively. Significance. This study demonstrated a high accuracy of prediction for the trajectories of imagined hand movement, and more importantly, a higher decoding accuracy of the imagined trajectories in the MEKMI paradigm compared to the KMI paradigm solely.
Autism detection based on multiple time scale model
Authors: Qin Chi , Zhu Xiaofei , Ye Lin , Peng Li , Li Long , Wang Jue , Ma Jin , Liu Tian 
Published: August 2022

Abstract

Objective. Current autism clinical detection relies on doctor observation and filling of clinical scales, which is subjective and prone to misdetection. Existing autism research of functional magnetic resonance imaging (fMRI) over-compresses the time-scale information and has poor generalization ability. This study extracts multiple time scale brain features of fMRI, providing objective detection. Approach. We first use least absolute shrinkage and selection operator to build a sparse network and extract features with a time scale of 1. Then, we use hidden markov model to extract features that describe the dynamic changes of the brain, with a time scale of 2. Additionally, to analyze the features of the potential network activity of autism from a higher time scale, we use long short-term memory to construct an auto-encoder to re-encode the original data and extract the features at a higher time scale, with a time scale of T, and T is the time length of fMRI. We use recursive feature elimination for feature selection for three different time scale features, merge them into multiple time scale features, and finally use one-dimensional convolution neural network for classification. Main results. Compared with well-established models, our method has achieved better results. The accuracy of our method is 76.0%, and the area under the roc curve is 0.83, tested on completely independent data, so our method has better generalization ability. Significance. This research analyzes fMRI sequences from multiple time scale to detect autism, and it also provides a new framework and research ideas for subsequent fMRI analysis.
Influence of the chemical nature of the deposition solution on the formation of heterostructural BVO films
Authors: dos Santos W S , Carmo E J , Nascimento L L , Patrocínio A O T , Guerra J D S 
Published: August 2022

Abstract
In this study, three photoelectrodes with bismuth vanadate (BVO) and bismuth oxide (BO) films were deposited on an ITO coated glassy substrate using three different routes. Both photoelectrodes were photoactive when irradiated by light. Notably, the photoelectrode with the BVO–1/BVO–2/BO film showed improved photoelectrochemical performance compared to the BVO–1 and BVO–1/BVO–2 films, due to the synergies involved in the process of separation/transportation of the photogenerated charges. The results indicate the promising use of this material for the clean production of solar fuels.
Investigation on the activity distribution of positron products in PMMA target irradiated by carbon ion beam
Authors: Zhang Xiuling , Du Chengming , Kong Jie , Yan Junwei , Yang Herun , Pei Changxu , Li Haixia , Duan Limin , Li Haixia , Hu Zhengguo , Li Zhankui , Xu Hushan , Chen Jinda 
Published: August 2022

Abstract
In the heavy ion radiotherapy, the dose distribution is an important index to ensure the therapeutic effect. But it can not be directly measured during a treatment. Positron-emitting radionuclides (10
C, 11
C, and 15
O et al.) produced in the treatment process are deposited along the path and the end of the beam trajectory, so the positron activity distribution can be used to monitor the dose distribution of carbon ions. In this paper, we present results of measurements of positron activity distributions with a developed scanner system. Then the relationship between the activity distribution of positrons and the dose distribution of carbon ions is studied. The research shows that the activity distribution of positrons is quite similar to that of carbon ions in the direction of penetration depth. The activity peak position of positrons is smaller than the dose peak position of carbon ions, and this difference increases along with the increase of carbon ion beam energy. These experimental results are consistent with the GATE simulation results. It is found that the detector system can distinguish shift of peak position of 3 mm that corresponds change of a particle energy of 4 MeV/u. This indicates that the positron scanner system had been successfully developed for heavy ion therapy equipment.
A two-stage light-use efficiency model for improving gross primary production estimation in agroecosystems
Authors: Huang Lingxiao , Lin Xiaofeng , Jiang Shouzheng , Liu Meng , Jiang Yazhen , Li Zhao-Liang , Tang Ronglin 
Published: August 2022

Abstract
Accurate quantification of gross primary production (GPP) in agroecosystems not only improves our ability to understand the global carbon budget but also plays a critical role in human welfare and development. Light-use efficiency (LUE) models have been widely applied in estimating regional and global GPP due to their simple structure and clear physical basis. However, maximum LUE (

ε

max

), a key photosynthetic parameter in LUE models, has generally been treated as a constant, leading to common overestimation and underestimation of low and high magnitudes of GPP, respectively. Here, we propose a parsimonious and practical two-stage LUE (TS-LUE) model to improve GPP estimates by (a) considering seasonal variations of

ε

max

, and (b) separately re-parameterizing

ε

max

in the green-up and senescence stages. The TS-LUE model is inter-compared with state-of-the-art

ε

max

–static moderate resolution imaging spectroradiometer-GPP, eddy-covariance-LUE, and vegetation production models. Validation results at 14 FLUXNET sites for five crop species showed that: (a) the TS-LUE model significantly reduced the large bias at high- and low-level GPP as produced by the three

ε

max

–static LUE models for all crop types; and (b) the TS-LUE model generated daily GPP estimates in good agreement with in-situ measurements and was found to outperform the three

ε

max

–static LUE models. Especially compared to the well-known moderate resolution imaging spectroradiometer-GPP, the TS-LUE model could remarkably decrease the root mean square error (in gC m−2 d−1) by 24.2% and 35.4% (from 3.84 to 2.91 and 2.48) and could increase the coefficient of determination by 14.7% and 20% (from 0.75 to 0.86 and 0.9) when the leaf area index (LAI) and infrared reflectance of vegetation (NIRv) were used to re-parameterize the

ε

max

, respectively. The TS-LUE model provides a brand-new perspective on the re-parameterization of

ε

max

and indicates great potential for improving daily agroecosystem GPP estimates at a global scale.
Frontier metrics for a process-based understanding of deforestation dynamics
Authors: Baumann Matthias , Gasparri Ignacio , Buchadas Ana , Oeser Julian , Meyfroidt Patrick , Levers Christian , Romero-Muñoz Alfredo , le Polain de Waroux Yann , Müller Daniel , Kuemmerle Tobias 
Published: August 2022

Abstract
Agricultural expansion into tropical and subtropical forests often leads to major social-ecological trade-offs. Yet, despite ever-more detailed information on where deforestation occurs, how agriculture expands into forests remains unclear, which is hampered by a lack of spatially and temporally detailed reconstruction of agricultural expansion. Here, we developed and mapped a novel set of metrics that quantify agricultural frontier processes at unprecedented spatial and temporal detail. Specifically, we first derived consistent annual time series of land-use/cover to, second, describe archetypical patterns of frontier expansion, pertaining to the speed, the diffusion and activity of deforestation, as well as post-deforestation land use. We exemplify this approach for understanding agricultural frontier expansion across the entire South American Chaco (1.1 million km2), a global deforestation hotspot. Our study provides three major insights. First, agricultural expansion has been rampant in the Chaco, with more than 19.3 million ha of woodlands converted between 1985 and 2020, including a surge in deforestation after 2019. Second, land-use trajectories connected to frontier processes have changed in major ways over the 35 year study period we studied, including substantial regional variations. For instance, while ranching expansion drove most of the deforestation in the 1980s and 1990s, cropland expansion dominated during the mid-2000s in Argentina, but not in Paraguay. Similarly, 40% of all areas deforested were initially used for ranching, but later on converted to cropping. Accounting for post-deforestation land-use change is thus needed to properly attribute deforestation and associated environmental impacts, such as carbon emissions or biodiversity loss, to commodities. Finally, we identified major, recurrent frontier types that may be a useful spatial template for land governance to match policies to specific frontier situations. Collectively, our study reveals the diversity of frontier processes and how frontier metrics can capture and structure this diversity to uncover major patterns of human–nature interactions, which can be used to guide spatially-targeted policies.