bluuebunny/crossref_metadata_2025_split huggingface dataset:
Self-reported intimate partner violence among men who have sex with men at an urban Australian sexual health clinic
Authors: Boots Georgina , Crozier Brendan , Popovic Gordana , McNulty Anna 
Published: January 2024

Background In Australia, 17% of women and 6% of men have experienced intimate partner violence (IPV). Although most IPV research has focused on heterosexual partnerships, studies suggest that men who have sex with men (MSM) may experience IPV at similar or higher rates than those documented among women. IPV may also take different forms among MSM and have different health and social impacts. This study aims to assess the utility of a screening tool for identifying and responding to IPV among MSM attending a sexual health clinic in Sydney, Australia. Methods Between 1 June 2020 and 30 June 2022, MSM clients were screened using standardised questions to identify IPV experienced within the preceding 12 months. Answers to the screening questions were correlated with data collected routinely at the initial clinic visit, including age, employment, country of birth, drug and alcohol use, sexual partner numbers, and any history of sex work, pre-exposure prophylaxis use and HIV status, as well as any bacterial STI diagnosed at the initial visit. Results There were 2410 eligible clients and of these, 2167 (89.9%) were screened during the study period. A total of 64 men (3.0%) (95% CI 2.3–3.8%) reported experiencing physical violence or intimidation in the past 12 months. Controlling for age, men who were born in Australia were 2.03 (95% CI: 1.04–3.01) times more likely to report IPV, and men who had Medicare were 2.43 (95% CI: 0.95–3.90) times more likely to report IPV than those who did not. Those who had ever injected drugs were 5.8 (95% CI: 1.87–9.73) times more likely to report IPV, and men with sexualised drug use were 4.11 (95% CI: 2.03–6.19) times more likely. Those that were employed or studying were 72% (95%CI: 0.13–0.42) less likely to report IPV. Conclusions The prevalence of reported IPV in our study was lower than that reported by others, which may be due to differences in recruitment methods and questions asked. Associations between IPV in MSM and injecting drug use and sexualised drug use highlight that clinicians should be aware of the impact and potential for IPV particularly in those with risk factors.
La retraducción como práctica arqueológica
Authors: Ortiz García Javier 
Published: January 2024

ResumenEste artículo aborda de manera teórica y práctica el fenómeno de la retraducción. El estudio propone una aproximación holística de la retraducción, empleando para su desarrollo dos factores esenciales en el proceso retraductor: la frecuencia de la aparición de las retraducciones de una obra determinada y los testimonios de los propios retraductores sobre su trabajo con esa obra. Se emplean cuatro versiones de la novelaMoby-Dick(Melville 1851) publicadas en España en un periodo de ocho años (2007–2014) de las que contamos con testimonios directos de los retraductores en forma de introducciones, publicaciones académicas y divulgativas y correspondencia personal. El cotejo de la frecuencia con que aparecieron esas versiones con las constataciones de los retraductores y los resultados de los análisis de tres ejemplos especialmente seleccionados de esas retraducciones ayuda a subrayar la importancia y la necesidad de la elaboración de estudios sobre la retraducción que vayan más allá de los estudios comparativos de casos.
Hamiltonian formulation of gravity as a spontaneously-broken gauge theory of the Lorentz group
Authors: Nikjoo Mehraveh , Zlosnik Tom 
Published: January 2024

Abstract
A number of approaches to gravitation have much in common with the gauge theories of the standard model of particle physics. In this paper, we develop the Hamiltonian formulation of a class of gravitational theories that may be regarded as spontaneously-broken gauge theories of the complexified Lorentz group

S
O
(
1
,
3

)

C

with the gravitational field described entirely by a gauge field valued in the Lie algebra of

S
O
(
1
,
3

)

C

and a ‘Higgs field’ valued in the group’s fundamental representation. The theories have one free parameter β which appears in a similar role to the inverse of the Barbero–Immirzi parameter of Einstein–Cartan theory. However, contrary to that parameter, it is shown that the number of degrees of freedom (DOFs) crucially depends on the value of β. For non-zero values of β, it is shown the theories possesses three complex DOFs, and for the specific values

β
=
±
i

an extension to general relativity is recovered in a symmetry-broken regime. For the value β = 0, the theory possesses no local DOFs. A non-zero value of β corresponds to the self-dual and anti-self-dual gauge fields appearing asymmetrically in the action, therefore in these models, the existence of gravitational DOFs is tied to chiral asymmetry in the gravitational sector.
Quasinormal mode spectrum of the AdS black hole with the Robin boundary condition
Authors: Kinoshita Shunichiro , Kozuka Tomohiro , Murata Keiju , Sugawara Keita 
Published: January 2024

AbstractWe study the quasinormal mode (QNM) spectrum of an asymptotically AdS black hole with the Robin boundary condition at infinity. We consider the Schwarzshild-AdS4with the flat event horizon as the background spacetime and study its scalar field perturbation. Denoting leading coefficients of slow- and fast-decay modes of the scalar field at infinity asφ1andφ2, respectively, we assume a linear relation between them asϕ2=cot(θ/2)ϕ1, whereθis a constant called the Robin parameter and periodic underθ∼θ+2π. In a certain range of the Robin parameter, there is an instability driven by the boundary condition. We also find the holonomy in the QNM spectrum under the parametric cycle of the boundary condition:θ=0→2π. After the one-cycle,nth overtone of the QNM moves to(n−1)th overtone. The fundamental tone of the QNM is swept out to the infinity in the complex plane.
Fabrication of high-aspect-ratio metallic microstructures by microelectroforming using silver-coated polydimethylsiloxane molds with controllable wettability
Authors: Zhou Bo , Xie Longfei , Wang Tingli , Su Bo , Meng Junhu 
Published: January 2024

Abstract
Microelectroforming is a specialized electroplating process to prepare functional metallic microstructures. However, the formability of microelectroforming is usually restricted by the limited mass transfer in high-aspect-ratio microcavities of molds. This paper presents a simple and reliable method utilizing silver (Ag)-coated polydimethylsiloxane (PDMS) molds with controllable wettability to enhance the formability of microelectroforming. The surfaces of these molds exhibited reversible water contact angles ranging from 4° to 151° realized through ultraviolet irradiation and heat treatment. The hydrophilicity of the PDMS molds facilitated liquid-phase mass transfer, contributing to the fabrication of complete and defect-free nickel microstructures with high aspect ratios. Subsequently, the hydrophobic PDMS molds reduced the interfacial adhesion between these molds and nickel microstructures, which was beneficial for perfect demolding. Nickel microstructures with an aspect ratio of 10 can be achieved by using the PDMS molds, which significantly enhance the formability of microelectroforming. This method provides a potential method to prepare high-aspect-ratio metallic microstructures.
Experimental study on femtosecond laser ablation of 4H–SiC substrate
Authors: Zhao Ziqiang , Zhao Lin , Peng Yun 
Published: January 2024

Abstract
Silicon carbide (SiC) is an ideal substrate for manufacturing high-power electronic devices and microwave devices and has broad application prospects. The surface treatment of SiC wafers plays a critical role and faces challenges in the semiconductor industry. Among the multiple treatment methods, the laser-based method has gradually attracted the attention of scholars. Therefore, this research uses a femtosecond laser to ablate 4H–SiC sliced wafers and analyzes the influence of key parameters, such as laser pulse energy, defocus amount, repetition frequency, and scanning intervals, on the laser ablation depth, width, and surface morphology. Scanning electron microscopy and laser coherence-focused microscopy were used to characterize the laser ablation surface. When the defocus amount was 6 mm, the microgroove profile formed by the laser was U-shaped. The scanning interval parameters had to be optimized to obtain the optimized surface roughness. The results show that the optimized surface roughness (Sa
) was 0.267 μm, and brittle fracture areas such as microcracks and pits on the original surface were removed. Effective removal facilitates further material surface processing, which provides valuable insights for similar researchers and benefits for the semiconductor industry.
First-principle investigation of structural, electronic, and phase stabilities in chalcopyrite semiconductors: insights from Meta-GGA functionals
Authors: Rani Dimple , Jana Subrata , K Niranjan Manish , Samal Prasanjit 
Published: January 2024

Abstract
We undertake a comprehensive first-principles investigation into the factors influencing the optoelectronic efficiencies of P
I
Q

I
I
I

R

2

V
I

chalcopyrite semiconductors. The structural attributes, electronic properties, and phase stabilities are explored using various meta-GGA exchange-correlation (XC) functionals within the density functional framework. In particular, we assess the relative performance of these XC functionals in obtaining estimates of various relevant parameters. The structural parameter u in chalcopyrite semiconductors is a noteworthy aspect, as it is intrinsically tied to the extent of orbital hybridization between distinct atoms and thereby strongly influences the electronic properties. In general, the application of widely used GGA-PBE XC functional to these chalcopyrites results in unreliable predictions of band gaps and ‘u’ parameter due to delocalization errors that in turn arise due to the inclusion of d and f core electrons. While hybrid functionals offer remarkable accuracy through state-of-the-art methods, their main drawback lies in their computational expense and resource demands. Our findings strongly suggest that in comparison to GGA-PBE, the meta-GGA XC functionals perform quite well and provide results that closely align with experimental values. In particular, the r
2SCAN and rMGGAC XC functionals are preferable and superior for investigating chalcopyrites and other solid-state systems. This preference is rooted in their excellent performance and substantially reduced computational costs compared to hybrid functionals.
Wavelet-based saturated absorption line detection for laser frequency locking
Authors: Li Guanghui , Zhou XinXiu , Duan Lihong , Wang Zhaoyu , Quan Wei 
Published: January 2024

Abstract
Owing to the presence of noise and the Doppler background, accurate saturated absorption (SA) peak automatic identification technology poses a significant challenge for laser frequency tuning and locking. To address this issue, a novel peak identification algorithm for the SA spectrum is proposed. First, a Gaussian filter based on a Gaussian continuous wavelet transform is proposed to mitigate the spectral high-frequency noise. Subsequently, a hybrid method combining a first-order Gaussian continuous wavelet transformation and adaptive threshold judgment was designed for multi-peak boundary segmentation. Finally, we obtained the target peak and its sweeping voltage based on an adaptive nonlinear fitting algorithm, which was almost unaffected by the peak asymmetry caused by the Doppler background.
Design of flexible sensor for wind pressure monitoring of stay cables
Authors: Wang Xiaoming , Guo Zhilong , Huang Yifeng , Xiong Longbo , Yao Daojin , Dong Wentao 
Published: January 2024

Abstract
Strong winds can make a bridge’s cable-stayed cables produce violent vibrations, leading to fatigue of the cable-stayed cables and damaging the cable-stayed bridge’s structure. Accurately and effectively obtaining data on the wind loads applied to the cable-stayed cables is important for assessing the cable-stayed cables’ health. The existing sensing elements for detection include diffusion silicon piezoresistive sensor, strain gauge, and other rigid sensors. However, most of them present such disadvantages as rigidity, difficult to fit the curved surface, high cost and low sensitivity. And it cannot be directly installed on the surface of the cable. In this paper, a conductive hydrogel flexible pressure sensor based on TA/CB@PDMS was developed, using carbon black (CB) as the main conductive medium, with good electrical conductivity, high sensitivity (0.65 kPa−1) and excellent tensile properties (210% tensile breakage). Meanwhile, a salt permeation method (Soak the sensor in LiBr solution) was used to effectively inhibit the sensor’s water from being evaporated and frozen. Its substrate incorporates tannic acid to increase the sensor’s adhesion so that it adheres well to the diagonal cable’s surface. In this paper, the wind speed variation around the diagonal cable and the force distribution on the surface with considering the fluid-structure coupling effect are analyzed by ANSYS WORKBECH finite element simulation. Wind tunnel experiments simulate the sensor’s force response when the inclined cable is subjected to different wind speeds, and the detection accuracy reaches 96.17%. The results show the sensor developed in this paper can realize accurate wind pressure detection of the inclined cable. This study provides a new method for wind pressure detection and health inspection of diagonal cables.
A fault diagnosis method for motor vibration signals incorporating Swin transformer with locally sensitive hash attention
Authors: Zeng Fei , Ren Xiaotong , Wu Qing 
Published: January 2024

Abstract
Identification of motor vibration signals is one of the important tasks in motor fault diagnosis and predictive maintenance, and wavelet time–frequency diagram is a commonly used signal analysis method to extract the frequency and time characteristics of signals. In this paper, a method based on local sensitive hashing (LSH)-Swin transformer network is proposed for identifying the wavelet time–frequency diagrams of motor vibration signals to analyze the fault types. The traditional Swin transformer model converges slowly due to the smoothing of the attention distribution when dealing with data with sparse features, while the method proposed in this paper reduces the smoothing of the computed attention and enables the network to learn the key features better by introducing locally-sensitive hash attention in the network model, dividing the sequences in the input attention into multiple hash buckets, calculating the attention weights of only some of the vectors with a high degree of hash similarity, and by sampling discrete samples with the use of the Gumbel Softmax. The experimental results show that the method proposed in this paper has better recognition accuracy and higher computational efficiency compared with the traditional network when processing wavelet time–frequency maps of motor vibration signals, and its validation accuracy reaches 99.7%, the number of parameters also has a decrease of about 13%, and the training network to reach converged epochs is also faster. The method in this paper can provide an effective solution for the analysis and processing of motor vibration signals, and has certain application value in practical engineering.
FastGNet: an efficient 6-DOF grasp detection method with multi-attention mechanisms and point transformer network
Authors: Ding Zichao , Wang Aimin , Gao Maosen , Li Jiazhe 
Published: January 2024

Abstract
A pivotal technology for autonomous robot grasping is efficient and accurate grasp pose detection, which enables robotic arms to grasp objects in cluttered environments without human intervention. However, most existing methods rely on PointNet or convolutional neural network as backbones for grasp pose prediction, which may lead to unnecessary computational overhead on invalid grasp points or background information. Consequently, performing efficient grasp pose detection for graspable points in complex scenes becomes a challenge. In this paper, we propose FastGNet, an end-to-end model that combines multiple attention mechanisms with the transformer architecture to generate 6-DOF grasp poses efficiently. Our approach involves a novel sparse point cloud voxelization technique, preserving the complete mapping between points and voxels while generating positional embeddings for the transformer network. By integrating unsupervised and supervised attention mechanisms into the grasp model, our method significantly improves the performance of focusing on graspable target points in complex scenes. The effectiveness of FastGNet is validated on the large-scale GraspNet-1Billion dataset. Our approach outperforms previous methods and achieves relatively fast inference times, highlighting its potential to advance autonomous robot grasping capabilities.
Stages assessment of state of health in a lifetime based on the capacity variance of lithium batteries
Authors: Meng Jiadong , Liu Lu , Zhao Zhigang , Su Chen 
Published: January 2024

Abstract
To avoid the overuse or underutilization of lithium battery in practical applications, the state of health (SOH) of lithium battery should be assessed in time to ensure safety and maximize utilization. A health indicator (HI) is proposed to show the SOH of lithium battery in this paper. Firstly, the degradation mechanism of lithium battery is described based on the working principle and the aging phenomenon of lithium-iron phosphate battery, and the existing problems in the current research on battery aging phenomenon are expounded. Secondly, to deal with the hidden dangers caused by the aging problem of the battery, the variation of capacity variance is selected to construct the HI of lithium battery. Finally, the performance degradation state of lithium battery is divided into four stages according to the changing trend of the constructed indicators in the whole lifetime, which are the formation stage of the first solid electrolyte interface (SEI) film stage, the normal working stage, the new SEI film stage and the internal resistance rise stage. The battery data set from MIT-Stanford-Toyota Research Center is utilized to verify the proposed method. The results show that the performance of lithium batteries will accelerate degradation with temperature rapidly rising in the new SEI film stage; the internal resistance will increase sharply in the internal resistance rise stage, which can easily lead to accidents such as thermal runaway. The proposed health state assessment method compares with other methods, and it is shown that the proposed method helps to ensure safety and maximize the utilization of lithium batteries.
Deformation health diagnosis of RCC dams considering construction interfaces based on monitoring data and numerical simulation
Authors: Chen Xudong , Li Liuyang , Liu Yajian , Zhao Yingda , Qin Xiangnan , Guo Jinjun , Xu Bo , Yang Guang 
Published: January 2024

Abstract
The health diagnosis procedure applied to determine the deformation of a roller compacted concrete (RCC) dam is different from that of a conventional concrete dam. Hence, in this study, a deformation health diagnosis model was established for an RCC dam considering the construction interfaces by combining the hydrostatic component simulated using ABAQUS (2016) with the temperature and aging components calculated using a statistical method. The combined method can help monitor the structural health of RCC dam and determine the physical meaning and statistical law of the deformation of RCC dams. During the simulation process, the geometric characteristics of the construction interfaces were modeled using the interface equivalent expansion method. The material properties were modeled using multi-output least-squares support vector regression optimized with the Jaya algorithm. A case study demonstrated that the established deformation health diagnosis model has good fitting and prediction ability. The model and methods proposed in this study provide a new idea for the behavior analysis and numerical simulation of mass composite structures similar to RCC dams.
Mechanical behavior of alpha quartz with void defects under tension: a molecular dynamics study using different interatomic potentials
Authors: Jia Yu , Zhang Huadian , Shukla Manoj K , Larson Steven , Nouranian Sasan , Rajendran A M , Jiang Shan 
Published: January 2024

Abstract
This study employs a series of molecular dynamics (MD) simulations, utilizing three commonly used interatomic potentials, i.e. van Beest, Kramer, and van Santen (BKS), Vashishta, and Tersoff to analyze the structural and mechanical characteristics within both void-free and single-void α-quartz configurations. Two distinct ensembles, NVT and NPT, were separately applied to investigate the tensile response. The validation of MD results included a comparative study of the three potentials as well as a comparison with experimental microstructural and tension studies. While BKS and Vashishta potentials accurately calculated the bond lengths, density and lattice parameters compared to the experimental values for void-free α-quartz, the results obtained with Tersoff potential exhibited relatively large deviations. The BKS potential offered an accurate description of the mechanical response of α-quartz by successfully predicting stress–strain curves. The Vashishta potential overpredicted Young’s modulus as compared to BKS. The Tersoff potential could capture the elastic deformation but was unable to predict the fracture behavior. The presence of a spherical void significantly reduced mechanical behavior of α-quartz, and the extent of this reduction was highly related to void size. When applying the BKS potential with an NVT ensemble, the ultimate tensile strengths decreased by 19% and 72% with void sizes of 2.5 and 15 Å, respectively. Equivalent stress analysis reveals that the BKS potential can effectively capture greater stress concentration around the void compared to other two potentials. Based on the comparison study, the BKS potential seems to be the most suitable one to describe α-quartz under tension in a realistic manner.
Center of mass of 2D and 3D objects and the golden ratio
Authors: Pathak Praveen , Kumar Aneesh , Kadolkar Charudatt 
Published: January 2024

Abstract
This study delves into the problem of finding the centre of mass for excised polygons in two and three dimensions, revealing intriguing connections and occurrences. We begin with rectangle and rhombus with sides in the ratio of the golden ratio, showcasing certain excised polygons with their centre of mass on the edge. Furthermore, we extend this analysis to 3D shapes like cuboids, pyramids, and cylinders, discovering three ways of excision, resulting in balanced objects on the edge. Exploring physics related to the centre of mass uncovers a fascinating mathematical coincidence between the golden ratio and the Fibonacci series. Additionally, we demonstrate and verify the center of mass location on the edges through 3D-printed objects.