bluuebunny/crossref_metadata_2025_split huggingface dataset:
Minimally deformed regular Hayward black hole solutions in Rastall theory
Authors: Sharif M , Sallah Malick 
Published: October 2024

Abstract
We profit from the gravitational decoupling algorithm via the minimal deformation scheme and extend the regular Hayward black hole, thereby obtaining novel black hole models in the context of Rastall theory. The field equations sourced by multiple matter are decoupled into two systems. The initial set is determined by the metric potentials of the Hayward black hole while the second set which describes additional source is solved using a constraint given by an equation of state. The solutions of the subfield equations allow us to obtain two new solutions by combining them in a linear manner. For given values of the Rastall and decoupling parameters, their some thermodynamic characteristics are studied for the resulting models. It turns out that only the first model preserves asymptotic flatness. It is found that the first and second models are described by exotic and ordinary matter, respectively. Finally, we obtain an acceptable behavior of the Hawking temperature and thermodynamic stability for both models.
Gravitational waves for eccentric extreme mass ratio inspirals of self-dual spacetime
Authors: Liu Yunlong , Zhang Xiangdong 
Published: October 2024

Abstract
In this paper, we calculate the frequencies of geodesic orbits in self-dual spacetime on the equatorial plane and obtain the leading-order effects of loop quantum parameters P on the energy flux and angular momentum flux in eccentric extreme mass ratio inspirals. The gravitational waveform under different eccentricity is carried out by improved “analytic-kludge” method. We calculate the waveform mismatches for the LISA detector and the measurement error on loop quantum parameters. The constraint capability on P will be improved by a factor of 3 to 10, compared to the weak field experiments in the solar system.
Impact of lensing bias on the cosmological dispersion measure
Authors: Takahashi Ryuichi 
Published: October 2024

Abstract
The cosmological dispersion measure (DM) as a function of redshift, derived from localized fast radio bursts (FRBs), has been used as a tool for constraining the cosmic ionized fraction and cosmological parameters.
For these purposes, the DM in a homogeneous cosmological model has typically been used, neglecting the inhomogeneity of matter distribution.
In this study, we derive a bias in the ensemble average of the DM over many FRBs owing to gravitational lensing by the inhomogeneous matter distribution based on cosmological perturbation theory.
We demonstrate that the ensemble average is 0.4 %–1 % smaller than the DM in the corresponding homogeneous model for a source redshift of z
s=1, according to recent cosmological hydrodynamic simulations of IllustrisTNG and BAHAMAS.
This reduction occurs because light rays from FRBs tend to avoid high-density regions owing to lensing deflection.
We also discuss another selection effect, magnification bias, where demagnified FRBs with low DMs, fainter than the detection threshold, are excluded from the observed sample, leading to a selective observation of magnified FRBs with high DMs.
Lensing bias, including magnification bias, must be considered to achieve percent level accuracy in the DM-redshift relation.
Kármán vortex street in Bose–Einstein condensate with PT symmetric potential
Authors: Shao Kaihua , Xi Baolong , Xi Zhonghong , Tu Pu , Ma Jinping , Zhao Xi , Meng Hongjuan , Shi Yuren 
Published: October 2024

Abstract
Kármán vortex street not only exists in nature, but also widely appears in engineering practice, which is of great significance for understanding superfluid. Parity-time (PT) symmetric potential provides a good platform for the study of Kármán vortex streets. In this paper, different patterns of vortex shedding formed behind PT symmetric potential in Bose–Einstein condensate (BEC) are simulated numerically. Kármán vortex streets and others are discovered to emerge in the wake of a moving obstacle with appropriate parameters. Compared with BEC without PT symmetric potential, the frequency and amplitude of the drag force are more complex. The parametric regions of the combined modes are scattered around the Kármán vortex street. Numerical simulations indicate that the imaginary part of the PT symmetric potential affects the vortex structure patterns. Finally, we proposed an experimental protocol that may observe a Kármán vortex street.
Constraints on covariant Horava-Lifshitz gravity from precision measurement of planetary gravitomagnetic field
Authors: Zhang 张 Li-Dong 立冬 , Li 李 Li-Fang 丽仿 , Xu 徐 Peng 鹏 , Bian 边 Xing 星 , Luo 罗 Zi-Ren 子人 
Published: October 2024

Abstract
As a generalization of Einstein's theory, Horava-Lifshitz gravity has attracted significant interest owing to its healthy ultraviolet behavior. In this paper, we analyze the impact of the Horava-Lifshitz corrections on the gravitomagnetic field. We propose a new measurement method for the planetary gravitomagnetic field based on space-based laser interferometry, which is further used to constrain the Horava-Lifshitz parameters. Our analysis shows that high-precision laser gradiometers can indeed limit the parameters in Horava-Lifshitz gravity and improve the results by one or two orders of magnitude compared with the existing theories. Our novel method also provides insights into how to constrain the parameters in the modified gravitational theory to gain deeper understanding of this complex framework and pave the way for potential technological advancements in the field.
Research on differentiated lightning protection application of power lines based on laser point cloud data
Authors: Ma Zhiqing , Zhao Wenhua , Li Qiuyang , Yang Taohui , Qu Quanlei , Bao Zhenghong , Wang Shengjie , Hai Jingwen 
Published: October 2024

Abstract
The collection and processing of data in lightning protection assessment of transmission lines takes a long time and accuracy is difficult to ensure. Therefore, a laser point cloud data registration method based on pole and tower material coordinate transformation is proposed for differential lightning protection evaluation of transmission lines. Using DBSCAN algorithm, combined with point cloud data voxel filtering and noise reduction methods, to achieve data segmentation of transmission line tower body. Based on the characteristics of the symmetrical structure of the tower body, the coordinate transformation method is adopted to achieve the registration of multiple point cloud data. The parameters in the tower structure are obtained by concatenating and fusing elements such as the wire point cloud, lightning protection line point cloud, and tower point cloud. After verification by lightning protection assessment, the proposed method simplifies the processing flow of data compliance detection during the assessment process, reduces the time cost of lightning protection assessment, and greatly improves the accuracy and effectiveness of lightning risk assessment results.
PID controller design for manipulating electrorheological valves with mesh electrodes using in 2D matrix display
Authors: Zhan Ruochen , Guo Shaopeng , Xu Luning , Han Li 
Published: October 2024

Abstract
The electrorheological (ER) valve with parallel electrodes structure has an inherent characteristic. The electrodes gap is the same as its flow channel gap, which causes a strong coupling relationship between the applied voltages and the flow rates of the ER valve. If flow rates of ER valves in the condition of turn on operational mode were increased, their applied voltages were increased necessarily for keeping their shutdown operational mode, which brings a bunch of problems of product costs and dimensions, especially when multiple ER valves with different operational modes work together, such as application of ER valves matrix used in 2D matrix displays. The mesh electrodes structure can decouple the relationship between the electrodes gap and the flow channel gap of parallel electrodes structure. However, due to the complexity of mesh electrodes structure, a mathematic model is difficult to be established theoretically. And, a mathematic model of ER valve with mesh electrodes plays a vital role in designing its controller. By analyzing the composition elements of an ER valve with mesh electrodes, a semi experimental model was established using the parametric identification toolbox of MATLAB. The consistency between the output of recognition model and the output of validation data reaches 93.46%. Subsequently the PID controller for ER valves with mesh electrodes was designed to meet the operational demands of a 2D matrix display using Simulink. The constrain of simulation was that the pressures of flow channel inlets of ER valves, the dynamic responses of ER valves with mesh electrodes kept stable and within its operational range. The results will be helpful for applications of ER valves with mesh electrodes.
A portable test system for the radar
Authors: Huang Zhiqiang , Liu Shangguang , Zhong Yonglei , Gong Wei 
Published: October 2024

Abstract
In order to adapt to the increasingly fierce battlefield confrontation scenarios, a portable, fast deployment and folding test system for the radar is proposed. The corresponding key test items of radar such as spectrum, waveform, lobe, target tracking and data analysis can be completed on the test system. After the Built-in-Test (BIT) information and test system results are integrated, the corresponding evaluation report and implementation recommendations can be provided to the maintenance personnel. This paper expounds the design of each subsystem step by step. The Main Control Unit (MCU) is the task scheduling and information integration center for the system. The corresponding high frequency components, processing components, storage components have been implemented systematic and miniaturized design. In the end, the improvement direction and prospect of the test system are given.
A flat sealing test device using water as the medium
Authors: Guo Fengquan , Ma Chuanhai , Wang Jingyi 
Published: October 2024

Abstract
The planar sealing test device uses water as the working medium to determine the sealing of the test plane, Water has a sealing effect and an intuitive visual effect. Fix the test piece on the testing device platform, and the working medium water moves upward under the thrust of the piston rod to fully cover the test piece. Increase a certain amount of air pressure inside the test piece, check for bubbles around the test piece, and determine the sealing of the plane. This design compensates for the shortcomings of flat sealing inspection equipment, and more conveniently and efficiently solves the sealing inspection problem before the assembly of flat sealing components, reducing energy consumption, saving resources, and improving production efficiency.
Research on Textured Polishing Wheel (TPW) patterns for polishing dental ceramic materials in anhydrous environments
Authors: Hou Liyuan , Chen Chaoxu , Yang Wei 
Published: October 2024

Abstract
Dental ceramics commonly utilize high-hardness fused silica materials for the fabrication of inlays, crowns, and artificial dental implants, with their processing efficiency and surface roughness (Ra) directly influencing manufacturing costs and product quality. This study presents the development of a Textured Polishing Wheel (TPW) featuring three distinct surface patterns (spiral, linear, and radial), achieved through single-point diamond and pulsed laser processing techniques. It investigates the effects of these patterns on the removal rate and surface roughness (Ra) of dental ceramics during the polishing process. Results indicate that while TPW demonstrates comparable material removal depth to non-textured polishing wheels, it marginally increases surface roughness (Ra). Moreover, TPW significantly reduces burning and wear on the wheel surface during polishing. Pulsed laser ablation of TPW leads to further improvement in surface roughness, thereby enhancing the processing of dental ceramics. Experimental findings highlight the superior performance of spiral TPW, achieving a material removal rate of 4.2
μm/h
and a surface roughness (Ra) of approximately 2.2
nm
, thus meeting the manufacturing and functional requirements of dental ceramics.
Upgrade of the NaI(Tl) crystal encapsulation for the NEON experiment
Authors: Choi J.J. , Jeon E.J. , Kim J.Y. , Kim K.W. , Kim S.H. , Kim S.K. , Kim Y.D. , Ko Y.J. , Koh B.C. , Ha C. , Park B.J. , Lee S.H. , Lee I.S. , Lee H. , Lee H.S. , Lee J. , Oh Y.M. ,   The NEON collaboration
Published: October 2024

Abstract
The Neutrino Elastic-scattering Observation with NaI(Tl)
experiment (NEON) aims to detect coherent elastic neutrino-nucleus
scattering (CEνNS) in a NaI(Tl) crystal using reactor anti-electron
neutrinos at the Hanbit nuclear power plant complex. A total of
13.3 kg of NaI(Tl) crystals were initially installed in December
2020 at the tendon gallery, 23.7 ± 0.3 m away from the reactor
core, which operates at a thermal power of 2.8 GW. Initial
engineering operation was performed from May 2021 to March 2022 and
observed unexpected photomultiplier-induced noise and a decreased
light yield that were caused by leakage of liquid scintillator into
the detector due to weakness of detector encapsulation. We upgraded
the detector encapsulation design to prevent the leakage of the
liquid scintillator. Meanwhile two small-sized detectors were
replaced with larger ones resulting in a total mass of 16.7 kg.
With this new design implementation, the detector system has been
operating stably since April 2022 for over a year without detector
gain drop. In this paper, we present an improved crystal
encapsulation design and stability of the NEON experiment.
3D printed feathers with embedded aerodynamic sensing
Authors: Tu Ruowen , Delplanche Rémy A , Tobalske Bret W , Inman Daniel J , Sodano Henry A 
Published: October 2024

Abstract
Bird flight is often characterized by outstanding aerodynamic efficiency, agility and adaptivity in dynamic conditions. Feathers play an integral role in facilitating these aspects of performance, and the benefits feathers provide largely derive from their intricate and hierarchical structures. Although research has been attempted on developing membrane-type artificial feathers for bio-inspired aircraft and micro air vehicles (MAVs), fabricating anatomically accurate artificial feathers to fully exploit the advantages of feathers has not been achieved. Here, we present our 3D printed artificial feathers consisting of hierarchical vane structures with feature dimensions spanning from 10−2 to 102 mm, which have remarkable structural, mechanical and aerodynamic resemblance to natural feathers. The multi-step, multi-scale 3D printing process used in this work can provide scalability for the fabrication of artificial feathers tailored to the specific size requirements of aircraft wings. Moreover, we provide the printed feathers with embedded aerodynamic sensing ability through the integration of customized piezoresistive and piezoelectric transducers for strain and vibration measurements, respectively. Hence, the 3D printed feather transducers combine the aerodynamic advantages from the hierarchical feather structure design with additional aerodynamic sensing capabilities, which can be utilized in future biomechanical studies on birds and can contribute to advancements in high-performance adaptive MAVs.
Slow post-fire carbon balance recovery despite increased net uptake rates in Alaskan tundra
Authors: Hung Jacqueline K Y , Arndt Kyle A , Murphy Patrick , Montemayor Marco , Rodenhizer Heidi , Ludwig Sarah , Rogers Brendan M , Natali Susan M 
Published: October 2024

Abstract
Increasing wildfire occurrence and intensity have immediate effects on northern ecosystems due to combustion of aboveground vegetation and belowground soil organic matter. These immediate impacts have indirect and longer term effects, including deepening of the active layer, changes in soil decomposition rates, and shifts in plant community composition. Despite the increasing fire impacts across the tundra region, the implications of wildfire on ecosystem carbon balance are not well understood. Using paired eddy covariance towers in unburned and burned tundra, we examined the effects of a 2015 wildfire on carbon dioxide and methane fluxes in a wetland tundra ecosystem in the Yukon–Kuskokwim Delta, Alaska, from 2020 to 2022. Wildfire increased the amplitude and variability of carbon uptake and release on seasonal and annual timescales and increased the temperature sensitivity of soil respiration. Seven years post fire, there was annual net uptake in both unburned and burned tundra based on net ecosystem exchange, with the sink strength of burned tundra exceeding that of the unburned tundra by 1.18–1.64 times. However, when considering emissions, it would take approximately 86 years to recover the carbon lost from the wildfire itself. Soil moisture was a dominant driver of fluxes and positively associated with higher rates of carbon dioxide uptake and release and methane release. This study underscores the importance of understanding the effects of wildfire-induced shifts on tundra carbon cycling, allowing better predictions of long-term landscape-scale climate feedbacks as the climate continues to warm.
Grassland albedo as a nature-based climate prospect: the role of growth form and grazing
Authors: McGregor S , Cromsigt J P G M , te Beest M , Chen J , Roy D P , Hawkins H-J , Kerley G I H 
Published: October 2024

Abstract
Nature-based solutions for mitigating climate change focus largely on land management to reduce carbon emissions and enhance carbon sequestration. Tree planting, commonly advocated for carbon offset, threatens grassland biodiversity and may induce positive radiative forcing (warming) by lowering albedo. Before making decisions about land-use changes in grasslands, an understanding of the fine-scale albedo of grassy versus woody vegetation is needed. Existing satellite-based albedo products offer global coverage with temporally fine, but spatially coarse, resolution, whereas fine-scale in situ grassland albedo data are sparse. We examined the hypotheses that albedo varies seasonally between grass type patches, between shrub and grass patches, and with grazing at the patch scale. Using a tripod-mounted albedometer, we quantified albedo of seven distinct grassland patches in South Africa’s eastern Karoo during early and late dormancy and growing seasons. Patches included intensely-grazed grazing lawn (Cynodon dactylon), grazed and less-grazed red tussock grass (Themeda triandra), grazed and less-grazed white tussock grass (Eragrostis lehmanniana), shrub (Pentzia incana) encroached grass, and bare ground. Season influenced albedo in all patches and, additionally, we found strong differences for the same period between years due to varying rainfall and temperature patterns. For grass-dominated patches, albedo differences were most pronounced during early dormancy, likely due to an effect of grass inflorescences. Albedo of intensely-grazed grazing lawns was consistently higher than other patches, except during early dormancy when white tussock grass albedo was equally high. We found no albedo difference between grazed and less-grazed tussock patches of either red or white grass. Shrub-encroached patches exhibited consistently lower albedo than other patches. Our findings underscore the nuanced relationship between grassland patches and albedo, with shrub encroachment, proposed afforestation, and certain grasses possibly increasing warming potential through reduced albedo. As climate initiatives extend into grasslands, understanding these patterns is essential for climate change mitigation and grassland conservation.
Lidar-derived estimates of boreal shrub biomass in Southcentral Alaska
Authors: Martin Kaili A , Dial Roman J , Cook Bruce D , Morton Douglas C , Larson Erin I , Andersen Hans-Erik 
Published: October 2024

Abstract
Despite widespread observations of shrub proliferation and expansion (shrubification), few studies quantify shrub biomass at the regional scale. Here we describe and implement a two-part modeling approach to estimate and map tall shrub (diameter at root collar > 2.5 cm) expected aboveground biomass, or E[SHB], across a 16.6 million ha boreal region where shrubification occurs in wetlands and subalpine ecosystems. Using n = 384 field plots nested within m= 11 study sites across southcentral Alaska, we constructed random forest models of the probability (pSH) that shrub wood volume surpasses tree wood volume, and generalized additive models of aboveground biomass of tall shrubs (SHB) using rasterized aerial lidar variables collected by NASA Goddard’s Lidar, Hyperspectral, and Thermal (G-LiHT) Airborne Imager, together with gridded climate data from a Parameter-elevation Regressions on Independent Slopes Model 30-year normal climatology (PRISM). Applying those models to G-LiHT tiles, then averaging across tiles within n = 843 watersheds covering 9.2 million ha, we estimated that below 1000 m asl, the area-weighted mean value of E[SHB] = pSH x SHB = 6.6 Mg ha−1 with sd = 4.5 Mg ha−1. This is the first study to estimate current shrub biomass density at the regional scale in southcentral Alaska and serves as a biomass baseline for measuring and modeling aboveground carbon fluxes where plant communities are undergoing climate-driven change.
Multi-headed lattices and Green functions
Authors: Chen Qipin , Chern Shane , Jiu Lin 
Published: October 2024

Abstract
Lattice geometries and random walks on them are of great interest for their applications in different fields such as physics, chemistry, and computer science. In this work, we focus on multi-headed lattices and study properties of the Green functions for these lattices such as the associated differential equations and the Pólya numbers. In particular, we complete the analysis of three missing cases in dimensions no larger than five. Our results are built upon an automatic machinery of creative telescoping.
Optimal circular states
Authors: Luo Shunlong , Tang Siting , Zhang Yue 
Published: October 2024

Abstract
In quantum optics, superpositions of coherent states, such as the Schrödinger cat states and compass states, and more generally, circular states, have attracted widespread attention due to their nice properties and significant applications. Concerning circular states, a natural question arises as what are the optimal parameters in these states for maximally achieving certain specified quantum features such as average photon number and nonclassicality. It turns out that this issue is highly nontrivial and subtle. In this work, we investigate optimal circular states for average photon number, and determine the optimal parameters by a combination of analytical and numerical methods. In particular, we establish several analytical results and also some rather detailed numerical results. We tabulate some numerical results, which may be useful in both theoretical and experimental studies of superpositions of coherent states.
A universal formula for the entanglement asymmetry of matrix product states
Authors: Capizzi Luca , Vitale Vittorio 
Published: October 2024

Abstract
Symmetry breaking is a fundamental concept in understanding quantum phases of matter, studied so far mostly through the lens of local order parameters. Recently, a new entanglement-based probe of symmetry breaking has been introduced under the name of entanglement asymmetry, which has been employed to investigate the mechanism of dynamical symmetry restoration. Here, we provide a universal formula for the entanglement asymmetry of matrix product states with finite bond dimension, valid in the large volume limit. We show that the entanglement asymmetry of any compact—discrete or continuous—group depends only on the symmetry breaking pattern, and is not related to any other microscopic features.