bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anticausativization in Gyalrongic languages
Authors: Gates Jesse P. 
Published: October 2024

Abstract
This article presents a comprehensive survey of anticausativization within Gyalrongic languages, a group of
Sino-Tibetan languages spoken in Sichuan, China, contributing significantly to our understanding of this phenomenon’s theoretical
and diachronic underpinnings. The research affirms that anticausative alternation is predominantly associated with verbs that
exhibit a change of state semantics. This categorization includes decausative and autocausative verbs, further subdivided in
Gyalrongic languages into specific semantic groups such as Separation, Removal, Physical Transformation, etc. Certain verbs with
agent-oriented meanings also undergo anticausative alternation, calling for a revision of previous claims. Gyalrongic languages
demonstrate a unique trend in their use of anticausative marking, deviating from global patterns by avoiding the polyfunctional
employment of these markers. The article traces the origins of anticausative marking to a spontaneous / non-volitional action
prefix and identifies the emergence of a new non-volitional prefix that has overtones of anticausative marking, descending from an
orientational / TAME prefix.
Metric reconstruction in Kerr spacetime
Authors: Hollands Stefan , Toomani Vahid 
Published: October 2024

Abstract
Metric reconstruction is the general problem of parameterizing GR in terms of its two “true degrees of freedom” e.g., by a complex scalar “potential”—in practice mostly with the aim of simplifying the Einstein equation (EE) within perturbative approaches. In this paper, we re-analyze the metric reconstruction procedure by Green, Hollands, and Zimmerman (GHZ) [Class. Quant. Grav. 37, 075001 (2020)], which is a generalization of the Chrzanowski-Cohen-Kegeles (CCK) approach. Contrary to the CCK method, that by GHZ is applicable not only to the vacuum, but also to the sourced linearized Einstein equation (EE) on Kerr. Our main innovation is a version of the GHZ integration scheme that is suitable for the initial value problem of the sourced linear EE. By iteration, our scheme gives the metric to as high an order in perturbation theory as one might wish, in principle. At each order, the metric perturbation is a sum of a corrector, obtained by solving a triangular system of transport equations, a reconstructed piece, obtained from a Hertz potential as in the CCK approach, and an algebraically special perturbation, determined by the ADM quantities. As a byproduct, we determine the precise relations between the asymptotic tail of the Hertz potential in the GHZ and CCK schemes, and the quantities relevant for gravitational radiation, namely, the energy ﬂux, news- and memory tensors, and their associated BMS-supertranslations. We also discuss ways of transforming the metric perturbation to Lorenz gauge.&#xD;
Effects of pulse rise time and pulse width on discharge mode transition of SDBD plasma under repetitive pulses
Authors: Sun Zihan , Zheng Xinlei , Zheng Haotian , Zhao Zheng , Li Jiangtao 
Published: October 2024

Abstract
Affected by environmental states and power supply parameters, the discharge mode of surface dielectric barrier discharge (SDBD) plasma may gradually transfer from O3 mode to NO
x
mode, resulting in various gas-phase species for different applications. Despite the intensive study of attempts to control this discharge mode transition by changing discharge conditions and power excitations in recent years, the effects of the pulse rise time and the pulse width on the discharge mode transition have not been discussed. In the present study, a SDBD was excited by repetitive pulses with different pulse rise times or pulse widths, and the time-varying concentrations of key long-lived species (O3 and NO2) were quantified. The results demonstrated that it was possible to modulate the discharge mode by adjusting pulse rise time/pulse width. The quenching of O3 was observed to occur at a faster rate and the mode transition was noted to occur at an earlier point in time as the pulse rise time decreased from 225 ns to 125 ns and the pulse width increased from 0.5 μs to 4 μs. The employment of a zero-dimensional model for the analysis of plasma chemical kinetics revealed that the reduction in pulse rise time and the prolongation of pulse width resulted in an increase in the mean vibrational energy of N2(v) and a more rapid electrode temperature rise caused by plasma heating. The former enhanced the generation of NO, while the latter accelerated the thermal decomposition of O3, thereby promoting the speed of mode transition.
A point cloud segmentation algorithm based on multi-feature training and weighted random forest
Authors: Zhao Fuqun , Huang He , Xiao Nana , Yu Jiale , Geng Guohua 
Published: October 2024

Abstract
Point cloud segmentation is the process of dividing point cloud data into a series of coherent subsets according to its attributes. It has been widely used in target recognition, digital protection of cultural relics, medical research and other fields. To improve the classification accuracy of point cloud and achieve accurate segmentation of objects or scenes, a point cloud segmentation algorithm based on multi–features training and weighted random forest (RF) is proposed. Firstly, the feature vector composed of 3D coordinate value, RGB value, echo intensity, point cloud density, normal direction and average curvature is used to train the SVM classifier, and the ‘one–to–one’ strategy is adopted to achieve the initial multivariate rough segmentation of point cloud. Then, the maximum information coefficient and sample correlation coefficient (SCC) are used to evaluate the correlation of the decision tree, and the decision tree is weighted accordingly to build a weak correlation weighted RF, so as to achieve further accurate segmentation of the point cloud. The experiment verifies the effectiveness of the proposed algorithm by segmenting the outdoor scene point cloud data model. The results show that the segmentation algorithm based on multi–features training and weighted RF can achieve accurate point cloud segmentation, and is an effective point cloud segmentation method.
Remaining useful life prediction method for jointless track circuits based on multivariate feature fusion and nonlinear Wiener process
Authors: Li Qian , Lin Junting , Niu Pengyuan 
Published: October 2024

Abstract
Predicting the remaining useful life (RUL) of track circuits is essential to ensure the safe and reliable operation of high-speed railways. In response to the challenges faced by current machine-learning-based RUL prediction methods, which struggle to represent the uncertainty in the probability distribution of RUL predictions, this paper suggests a hybrid-driven method for estimating remaining life. Firstly, the track circuit Health Index is constructed by feature dimensionality reduction and fusion of the original multivariate monitoring data through kernel principal component analysis and Autoencoder; Secondly, the degraded state of the rail circuit is modelled using a nonlinear Wiener degradation model. Finally, the principle of first hitting time is used to derive the probability density function of the anticipated RUL. The efficacy and superiority of the approach presented in this paper are validated by experimental research on the track circuit monitoring dataset. The method enhances forecast accuracy and reduces prediction uncertainty, offering robust technical support for track circuit maintenance decision-making.
Cylinder object 6-DOF pose estimation via single perspective circle on cylindrical surface
Authors: Yu Aidi , Wang Yujia , Guo Bing , Li Haoyuan 
Published: October 2024

Abstract
Pose estimation is an important research topic in computer vision. In this paper, a novel method for six-degree-of-freedom (6–DOF) pose estimation of cylindrical objects via a single perspective circle on cylindrical surface is proposed. Unlike traditional methods that rely on planar circular features, a circular feature target which is affixed to the side of cylindrical objects is utilized. The geometric properties of the spatial curve formed by its contour are leveraged for pose estimation. Specifically, the imaging model of the spatial curve is established to derive the general equation of its projection curve. The initial pose is determined based on the perspective principle, and the final optimized pose is obtained with the least squares method. To avoid local optima, a verification and correction method is proposed to enhance estimation accuracy. Synthetic and physical experiments demonstrate that the proposed method can achieve real-time, high-precision pose estimation for cylindrical objects, exhibiting robustness against occlusion and noise interference.
Underwater point cloud transmission framework: hybrid encoder implementation based on CNN and transformer
Authors: Deng Zexi , Zhang Yang , Yang Hongbo , Wang He 
Published: October 2024

Abstract
In underwater multi-robot systems, 3D point cloud data generated by sonar and depth sensors facilitates the execution of more complex collaborative tasks among robots, which partly rely on efficient data transmission. In this work, we propose a hybrid encoder framework based on convolutional neural network and Transformer for underwater point cloud transmission, aimed at dealing with large-scale point cloud data. Our encoder allows setting lower compression rate on regions or objects of interest for semantic point clouds, preserving crucial information in the point cloud. For underwater acoustic communication, we employ orthogonal frequency division multiplexing combined with deep joint source-channel coding for transmission to enhance the system’s error-resilience. Compared to state-of-the-art methods in the simulation experiments, our end-to-end framework achieves considerable compression performance while eliminating certain cliff and leveling effects, also demonstrating robustness even with changing channels.
Contrasting effect of high-Z coating on proton acceleration from thin transparent low-Z foil target
Authors: Tayyab M , Bagchi S , Upadhyay A , Sijoy C D , Mishra V , Moorti A , Chakera J A 
Published: October 2024

Abstract
In the present work, we investigate the impact of a thin metallic coating on proton acceleration from transparent dielectric foils. A substantial difference in the experimental results is observed based on the placement of the thin metal coating—either on the front surface (the side facing the laser) or on the rear surface of the foil. In the former case, we observed an enhancement in both the energy and flux of the accelerated protons/ions. However, in the latter case, the thin metal coating was found to have a highly detrimental effect on the acceleration process. Measurements conducted on transmitted laser pulse signals confirm the crucial role of the intensity-dependent target material transparency and the laser pre-pulse playing vital roles in determining the proton/ion acceleration dynamics. Numerical simulations involving radiation hydrodynamics followed by two-dimensional particle-in-cell simulations confirm the experimental observations.
Determination of atomic hydrogen density and fluorescence decay time by 1D resolved, picosecond TALIF in the RAID linear device
Authors: Kadi L , Baquero-Ruiz M , Andrebe Y , Guittienne Ph , Jacquier R , Karimov R , Stollberg C , Furno I 
Published: October 2024

Abstract
We report on the first 1D resolved two-photon absorption laser-induced fluorescence (TALIF) measurements of atomic hydrogen (H) performed in the Resonant Antenna Ion Device using a picosecond laser system. The results are obtained across a cylindrical plasma column with peak electron density

10

18

m

−
3

and temperature

1

eV

on axis, which decrease monotonically to

2
⋅

10

17

m

−
3

and 0.75 eV over a scale of a few cm away from the axis. TALIF results in these conditions are compatible with a uniform H density profile across the observed region, with a mean dissociation degree close to 3%. The small variation of H density across regions covering a wide range of plasma parameters suggests that transport processes and wall interactions play an important role in determining the H density profile. The fluorescence decay time is close to

10

ns

at all observed locations, a result compatible with complete substate mixing of the n = 3 states of H.
An RFID smart structure using inkjet-printed additive manufacturing technology for metal crack characterization
Authors: Xie Xiangyu , Wang Haidou , Dong Lihong , Song Yaya , Di Yuelan , Guo Weiling , Zhang Jun 
Published: October 2024

Abstract
Developing an indicator for metal materials to characterize cracks is urgent. However, traditional sensor-based technology has drawbacks such as high costs for installation and maintenance when using wired connections. In this paper, we studied the Radio Frequency Identification sensors created through three-dimensional printing technology to characterize surface cracks in metals. This approach simplifies the manufacturing process, silver nanoparticles are printed layer by layer on substrate to form the sensor pattern. The functionality of the sensor is verified through simulations and experiments involving samples with various crack sizes. Our findings demonstrate that when cracks pass over the sensor, there is a distinct response in terms of a shift in resonant frequency, moreover, the sensor offers a reading range greater than 0.7 m at resonance frequency without requiring power supply or wired connection for data transmission purposes. This research showcases the design of a smart structure that is compact, easy-to-fabricate, and potential for applications related to structural health monitoring and crack sensing.
Effects of lateral critical current nonuniformity on stresses in dry-wound high-field REBCO coils
Authors: Yan Yufan , Park Jeonghwan , Kim Geonyoung , Kim Jaemin , Gömöry Fedor , Hahn Seungyong 
Published: October 2024

Abstract
The distribution of critical current density (jc
) in rare-earth barium copper oxide (REBCO) coated conductors (CC) affects the magnetization behaviors and subsequently screening-current-induced stresses, particularly for solenoid magnets in high fields. This paper studies numerically the correlation between lateral jc
profile across conductor width and stress distribution in pancake coils. The modeling framework considers bending, winding, thermal contraction, and magnetic forces including coupled electromagnetic-mechanical behaviors, i.e. the deviation of the perpendicular field away from axial direction due to tilting deformation. The lateral nonuniformity is introduced using trapezoidal functions, emulating typical jc
profiles originated in pristine tapes and those caused by slitting. First, parametric studies are carried out on the small test coils previously reported in the ‘Little Big Coils’ (LBC) paper. It is shown that while slitting edge defects have a moderate impact on peak strains, imperfections in the pristine tape with a larger shoulder width can accelerate the penetration process, shifting peak force to the structurally resilient middle section. Similar behaviors are found in the LBC3 case study, suggesting that lateral jc
nonuniformity may have contributed to the observed degradation states in pancakes with different slit-edge orientations. Furthermore, the manipulation of lateral jc
profile is proposed as a strategy to manage stresses in high field solenoids. This is demonstrated in the design study of a hypothetical REBCO insert. By adjusting the lateral jc
distribution and the overall scaling factor, magnet designs with a reasonable current margin and moderate peak strain can be found. The multi-width concept is then applied to allow for a higher operating current and a larger margin for the end pancakes. Albeit being a generic case, this study highlights the sensitivity of peak stresses in high-field magnets to jc
distribution. This feature may be taken into account to fine-tune magnet designs and adjust coil assemblies for better overall performance. It also emphasizes the need for careful characterization and effective control of lateral jc
distributions in REBCO CC.
A robust, fiber-coupled scanning probe magnetometer using electron spins at the tip of a diamond nanobeam
Authors: Li Yufan , Welker Gesa , Norte Richard , van der Sar Toeno 
Published: October 2024

Abstract
Fiber-coupled sensors are well suited for sensing and microscopy in hard-to-reach environments such as biological or cryogenic systems. We demonstrate fiber-based magnetic imaging based on nitrogen-vacancy (NV) sensor spins at the tip of a fiber-coupled diamond nanobeam. We incorporated angled ion implantation into the nanobeam fabrication process to realize a small ensemble of NV spins at the nanobeam tip. By gluing the nanobeam to a tapered fiber, we created a robust and transportable probe with optimized optical coupling efficiency. We demonstrate the imaging capability of the fiber-coupled nanobeam by measuring the magnetic field generated by a current-carrying wire. With its robust coupling and efficient readout at the fiber-coupled interface, our probe could allow new studies of (quantum) materials and biological samples.
Unstable regions of anisotropic relativistic spheres in higher dimensions
Authors: Yousaf M , Almutairi Bander , Bhatti M Z , Yousaf Z , Khan A S 
Published: October 2024

Abstract
In this work, we consider the collapse of a

D

-dimensional sphere in the framework of a higher-dimensional spherically symmetric space-time in which the gravitational action chosen is claimed to be somehow linked to the

D

-dimensional modified term. This work investigates the criteria for the dynamical instability of anisotropic relativistic sphere systems with

D

-dimensional modified gravity. The certain conditions are applied that lead to the collapse equation and their effects on adiabatic index Γ in both Newtonian (N) and Post-Newtonian (PN) regimes by using a perturbation scheme. The study explores that the Γ plays a crucial role in determining the degree of dynamical instability. This index characterizes the fluid’s stiffness and has a significant impact on defining the ranges of instability. This systematic investigation demonstrates the influence of various material properties such as anisotropic pressure, kinematic quantities, mass function,

D

-dimensional modified gravity parameters, and the radial profile of energy density on the instability of considered structures during their evolution. This work also displays the dynamical behavior of spherically symmetric fluid configuration via graphical approaches.
Density functional theory study of cobalt sulfide as a counter electrode material for dye-sensitized solar cells
Authors: Dadi Dereje Gelanu , Shura Megersa Wodajo , Gochole Fekadu 
Published: October 2024

Abstract
Dye-sensitized solar cells (DSSCs) are viewed as potential substitutes for traditional silicon-based solar cells due to their affordability, impressive performance in low-light conditions, eco-friendly energy production, and adaptability in solar product integration. The use of noble metals such as platinum as counter electrodes in DSSCs was initially limited by their high cost; however, cobalt sulfide has been recognized as a viable alternative due to its abundance, non-toxic properties, and cost-effectiveness. In this work, the crystal structure, electronic, optical characteristics and electrocatalytic activity of the tetragonal phases of cobalt sulfide are investigated through density functional theory with a quantum espresso package. The results obtained for the lattice parameter are a = b = 3.53 Å and c = 4.80 Å. The generalized gradient approximation and hybrid exchange correlation function yield bandgaps of 1.63 and 1.69 eV, respectively, which are consistent with the reported experimental values. An analysis of the density of states and the projected density was carried out to validate the accuracy of the calculated band gaps. Additionally, significant information was obtained from the optical properties through the calculation of the dielectric function. The findings reveal real and imaginary static dielectric constants of 11.85 and 0.13, respectively. Furthermore, the measured absorption and conductivity spectra exhibit promising attributes in the UV–visible range and good electrical conductivity. Moreover, the electrocatalytic activity was studied to analyze the adsorption energy of CoS and the electrolyte. Generally, the calculated electronic and optical properties of CoS crystals indicate their potential application as counter electrodes in dye-sensitized solar cells.
Comparison of fracture behavior of set concretes based on natural and crushed aggregates
Authors: Golewski Grzegorz Ludwik 
Published: October 2024

Abstract
The studies were carried out to diagnose the effects of coarse aggregate type on the mechanical behavior of plain concretes under incremental loading. During the studies mechanical parameters including compressive strength (f
cm) and splitting tensile strength (f
ctm), as well as fracture parameters involving critical stress intensity factor (

K

Ic

S

) and critical crack tip opening displacement (CTOD
c) were evaluated. The aim of the study was to accurately assess the impact of the type of mineral aggregates on the fracture toughness of ordinary concretes. In order to obtain the most reliable comparison of the obtained test results, mineral aggregates, both natural and crushed, from the same geographic area (most commonly used in plain concretes) were used in the experiments. Hence, crushed aggregates covered: basalt (BA), granite (GT) and limestone (LM) and natural pebble gravel aggregate (GL) were used in the concrete mixtures. For better understanding of the crack initiation and propagation in concretes with different coarse aggregates, a macroscopic failure surfaces examination of the tested beams is also presented. Both of the analyzed fracture mechanics parameters, i.e.

K

Ic

S

and CTOD
c increased significantly in the case of concretes which were manufactured based on crushed aggregates. They amounted in comparison to concrete based on gravel aggregate at levels ranging from 20% for concrete with limestone aggregate, to over 30% for concrete with a granite aggregate, and to as much as over 70% for concrete with basalt aggregate. The fracture process in each series of concrete was: quasi-plastic in the case of gravel concrete, semi-brittle in the case of limestone concrete, and clearly brittle in the case of the concretes based on granite and basalt aggregate. The results obtained help to explain how the coarse aggregate type affects the strength parameters and fracture toughness at bending.
Optimizing energy consumption in post-combustion CO2 capture at an NGCC power plant: a simulation-based approach
Authors: Khan Ali Feroz , Hansen Bryan , Guinta Dave 
Published: October 2024

Abstract
This study aims to optimize energy consumption in post-combustion carbon capture processes at a Natural Gas Combined Cycle (NGCC) power plant. It further addresses challenges associated with steam extraction from NGCC power plants and explores non-condensable steam turbines to boost process efficiency. Various scenarios are explored to minimize energy requirements by leveraging heat integration and alternative solvent compositions. The research uses simulations with commercially available software and literature-derived data to address the challenges of high energy consumption in such processes. Emphasis is placed on optimizing solvent composition and implementing advanced heat optimization strategies to reduce energy consumption. Four scenarios with different solvent compositions are investigated, utilizing Monoethanolamine and aqueous piperazine. The results show that process parameter optimization and heat optimization strategies can result in significant energy savings. To attain a carbon-neutral energy landscape, this research helps develop more sustainable and effective carbon capture methods.