bluuebunny/crossref_metadata_2025_split huggingface dataset:
The BOSS bispectrum analysis at one loop from the Effective Field Theory of Large-Scale Structure
Authors: D'Amico Guido , Donath Yaniv , Lewandowski Matthew , Senatore Leonardo , Zhang Pierre 
Published: May 2024

Abstract
We analyze the BOSS power spectrum monopole and quadrupole, and the bispectrum monopole and quadrupole data, using the predictions from the Effective Field Theory of Large-Scale Structure (EFTofLSS). Specifically, we use the one loop prediction for the power spectrum and the bispectrum monopole, and the tree level for the bispectrum quadrupole. After validating our pipeline against numerical simulations as well as checking for several internal consistencies, we apply it to the observational data. We find that analyzing the bispectrum monopole to higher wavenumbers thanks to the one-loop prediction, as well as the addition of the tree-level quadrupole, significantly reduces the error bars with respect to our original analysis of the power spectrum at one loop and bispectrum monopole at tree level. After fixing the spectral tilt to Planck preferred value and using a Big Bang Nucleosynthesis prior, we measure σ
8 = 0.794 ± 0.037, h = 0.692 ± 0.011, and Ω
m
= 0.311 ± 0.010 to about 4.7%, 1.6%, and 3.2%, at 68% CL, respectively.
This represents an error bar reduction with respect to the power spectrum-only analysis of about 30%, 18%, and 13% respectively.
Remarkably, the results are compatible with the ones obtained with a power-spectrum-only analysis, showing the power of the EFTofLSS in simultaneously predicting several observables. We find no tension with Planck.
Forecast constraints on the baryonic feedback effect from the future kinetic Sunyaev-Zel'dovich effect detection
Authors: Zheng Yi , Zhang Pengjie 
Published: May 2024

Abstract
The baryonic feedback effect is an important systematic error in the weak lensing (WL) analysis. It contributes partly to the S
8 tension in the literature. With the next generations of large scale structure (LSS) and CMB experiments, the high signal-to-noise kinetic Sunyaev-Zel'dovich (kSZ) effect detection can tightly constrain the baryon distribution in and around dark matter halos, and quantify the baryonic effect in the weak lensing statistics. In this work, we apply the Fisher matrix technique to predict the future kSZ constraints on 3 kSZ-sensitive Baryon Correction Model (BCM) parameters. Our calculations show that, in combination with next generation LSS surveys, the 3rd generation CMB experiments such as AdvACT and Simon Observatory can constrain the matter power spectrum damping S(k) to the precision of σ
S
(k) < 0.8%√(37.8 Gpc3h-3-3/V) at k ≲ 10h/Mpc, where V is the overlapped survey volume between the future LSS and CMB surveys. For the 4th generation CMB surveys such as CMB-S4 and CMB-HD, the constraint will be enhanced to σ

S
(k) < 0.4%√(37.8 Gpc3h-3/V). If extra-observations, e.g. X-ray detection and thermal SZ observation, can effectively fix the gas density profile slope parameter δ, the constraint on S(k) will be further boosted to σ

S
(k) < 0.3%√(37.8 Gpc3
h
-3/V) and σ

S
(k) < 0.1%√(37.8 Gpc3
h
-3/V) for the 3rd and 4th generation CMB surveys.
From Active Stars to Black Holes: A Discovery Tool for Galactic X-Ray Sources
Authors: Rodriguez Antonio C. 
Published: May 2024

Abstract
Galactic X-ray sources are diverse, ranging from active M dwarfs to compact object binaries, and everything in between. The X-ray landscape of today is rich, with point source catalogs such as those from XMM-Newton, Chandra, and Swift, each with ≳105 sources and growing. Furthermore, X-ray astronomy is on the verge of being transformed through data releases from the all-sky SRG/eROSITA survey. Many X-ray sources can be associated with an optical counterpart, which in the era of Gaia, can be determined to be Galactic or extragalactic through parallax and proper motion information. Here, I present a simple diagram—the “X-ray Main Sequence,” which distinguishes between compact objects and active stars based on their optical color and X-ray-to-optical flux ratio (F
X/F
opt). As a proof of concept, I present optical spectroscopy of six exotic accreting WDs discovered using the X-ray Main Sequence as applied to the XMM-Newton catalog. Looking ahead to surveys of the near future, I additionally present SDSS-V optical spectroscopy of new systems discovered using the X-ray Main Sequence as applied to the SRG/eROSITA eFEDS catalog.
Probing the Bardeen–Kiselev black hole with the cosmological constant caused by Einstein equations coupled with nonlinear electrodynamics using quasinormal modes and greybody bounds
Authors: Wu S R , Wang B Q , Long Z W 
Published: May 2024

Abstract
In this work, we investigate a static and spherically symmetric Bardeen–Kiselev black hole (BH) with the cosmological constant, which is a solution of the Einstein-non-linear Maxwell field equations. We compute the quasinormal frequencies for the Bardeen–Kiselev BH with the cosmological constant due to electromagnetic and gravitational perturbations. By varying the BH parameters, we discuss the behavior of both real and imaginary parts of the BH quasinormal frequencies and compare these frequencies with the Reissner–Nordström–de Sitter BH surrounded by quintessence (RN-dSQ). Interestingly, it is shown that the responses of the Bardeen–Kiselev BH with the cosmological constant and the RN-dSQ under electromagnetic perturbations are different when the charge parameter q, the state parameter w and the normalization factor c are varied; however, for the gravitational perturbations, the responses of the Bardeen–Kiselev BH with the cosmological constant and the RN-dSQ are different only when the charge parameter q is varied. Therefore, compared with the gravitational perturbations, the electromagnetic perturbations can be used to understand nonlinear and linear electromagnetic fields in curved spacetime separately. Another interesting observation is that, due to the presence of Kiselev quintessence, the electromagnetic perturbations around the Bardeen–Kiselev BH with the cosmological constant damps faster and oscillates slowly; for the gravitational perturbations, the quasinormal mode decays slowly and oscillates slowly. We also study the reflection and transmission coefficients along with the absorption cross section in the Bardeen–Kiselev BH with the cosmological constant; it is shown that the transmission coefficients will increase due to the presence of Kiselev quintessence.
Long-term plasma exposure of ITER-like W/Cu monoblocks with pre-damaged surfaces in EAST experiments
Authors: Guo Zongxiao , Zhu Dahuan , Yan Rong , Xuan Chuannan , Wang Baoguo , Wang Yang , Gao Binfu , He Chunyu , Ding Rui , Li Yi , Fu Wenxue , Chen Junling ,   the EAST Team
Published: May 2024

Abstract
In the ITER and future fusion devices, W/Cu monoblocks will be used as divertor target which are exposed to both steady state heat load and transient heat flux. Especially, the transient heat flux up to 10 GW m−2 during plasma disruption, is expected to induce the shallow surface damages, such as melting, and even boiling of W/Cu monoblocks. Thus, the performance of damaged W/Cu monoblocks under subsequent long-term plasma discharges is a key concern that needs to be verified and tested on existing tokamaks. Since 2022, a new type of main limiter composed of ITER-like W/Cu monoblocks has been installed and tested in EAST. The surface of W/Cu monoblocks of the limiter was damaged by the transient heat flux during the early stages of plasma construction. Subsequently, they were subjected to long-term plasma discharges over 2600 shots in normal plasma discharge conditions. This circumstance conveniently facilitates the discussion of the performance of W/Cu monoblocks with damaged surfaces especially a melting edge with hill structure under prolonged exposure to plasma. In general, the shallow damage resulting from transient heat flux on W/Cu monoblocks appears to have minimal impact on the heat exhaust capacity under steady-state heat loads, as indicated by both experimental monitoring and numerical simulation results. However, shallow melting, leading to a change in surface structure and the formation of hills, could theoretically increase local temperatures, creating potential hot spots. This phenomenon requires further validation through dedicated experiments. Moreover, the brittleness of the near-surface layer may give rise to brittle destructions, such as cracks and even dust particles, posing an additional concern. These findings yield unique qualitative conclusions that can be referenced for ITER and other fusion devices.
Kinetic-magnetohydrodynamic hybrid simulation of infernal modes in circular tokamak plasmas with effects of kinetic thermal ions
Authors: Sato M. , Todo Y. , Aiba N. , Takechi M. 
Published: May 2024

Abstract
Effects of the kinetic thermal ions (KTIs) on ideal infernal modes and resistive infernal modes have been investigated by using magnetohydrodynamic (MHD) simulation without KTIs and kinetic-MHD hybrid simulation with KTIs. For the ideal infernal modes, the pressure profile is significantly flattened at the saturated state for both the models with and without the KTIs. As the beta value decreases, the ideal infernal modes are stabilized while the resistive infernal modes are still unstable. For the resistive infernal modes, while the saturated pressure profile is significantly flattened in the MHD simulation without KTIs, the pressure profile is not flattened at the saturated state in the kinetic-MHD hybrid simulation with KTIs. The suppression of the saturation level by the effects of the KTIs results from the phase mismatch between the radial velocity and perturbed pressure mode structures. This indicates that KTIs play an essential role for the suppression of pressure profile flattening due to slowly growing resistive MHD instabilities.
Nonlinear excitation of energetic particle driven geodesic acoustic mode by Alfvén instability in ASDEX-Upgrade Tokamak
Authors: Wang (王灏) Hao , Lauber Philipp W. , Todo (藤堂泰) Yasushi , Suzuki (鈴木康浩) Yasuhiro , Li (李瀚政) Hanzheng , Wang (王佳磊) Jialei , Wei (魏士朝) Shizhao 
Published: May 2024

Abstract
Recently, the coexistence of multiple energetic particle driven instabilities was observed in experiments on the ASDEX-Upgrade tokamak (Lauber et al 2018 27th IAEA Fusion Energy Conf.). A hybrid simulation using the MEGA code was performed to investigate the properties of those instabilities. The basic mode properties obtained in the simulations, such as mode frequencies, mode numbers, and inward energetic particle (EP) redistribution, are in good agreement with the experiments. It is found that the energetic particle driven geodesic acoustic mode (EGAM) is initially stable, then zonal flow gradually occurs with the growth of the Alfvén instability, and finally, the EGAM is nonlinearly excited and the amplitude exceeds the Alfvén instability. The dependence of EGAM properties on EP pressure and pitch angle distribution is analyzed. The EGAM amplitude increases with EP pressure. The nonlinearly excited EGAM is a high-frequency branch that appears even under the condition of a slowing-down EP distribution. The resonant particles are also analyzed, but the dominant resonant particles of the EGAM in the linear growth phase are not found because the EGAM does not grow in the linear regime. In the phase space of pitch angle variable Λ and energy E, it is found that initially the Alfvén instability is excited by EPs with poloidal frequency 70 kHz, then, after the saturation of the Alfvén instability, the resonance region moves towards lower energy and touches the EGAM resonance line, and finally, EGAM is excited by the particles with poloidal frequency

50

kHz

. This process is a kind of resonance overlap.
Ion heating characteristics of merging spherical tokamak plasmas for burning high-beta plasma formation
Authors: Ono Y. , Tanabe H. , Inomoto M. 
Published: May 2024

Abstract
High-power ion heating of merging spherical tokamak (ST) plasma has been investigated using TS-3U, TS-4, and UTST at the University of Tokyo for future direct access to burning high-beta ST plasma without using any additional heating. We developed a two-fluid/kinetic interpretation of the promising scaling of ion heating energy that increases with the square of reconnecting magnetic field B
rec ∼ poloidal magnetic field B
p. We find that reconnection heating creates interesting high-beta ST plasmas with hollow currents and broad/hollow T
i profiles. These high-beta ST plasmas often have reversed-shear or absolute minimum-B profiles, depending on their reconnection heating power and q-values.
Finite Element Analysis of UHV Transmission Line Stringing System Based on APDL
Authors: Duan Jingxi , Chen Ning 
Published: May 2024

Abstract
Nowadays, the tension stringing construction is used in UHV transmission lines. However, in the tension stringing system of UHV transmission lines, due to the flexibility of cables, such as guide ropes, ground wires, etc., in systems, the vibration will be occurred during the construction process. In order to analyze the vibration, the finite element analysis method is required for the system. In this paper, a certain position in the stringing process of the first and the last electric tower of the third section of a 1000kV UHV project was taken as the research object, the setting of constraint conditions, modal analysis and power spectrum analysis were carried out for the fast simulation calculation using APDL, the ANSYS parametric design language. It can be concluded that this method can improve efficiency of modeling and simulation and realize the rapid finite element analysis.
Ship Ballast Water System Fault Diagnosis Method Based on Multi-Feature Fusion Graph Convolution
Authors: Ai Zeren , Cao Hui , Wang Manqi , Yang Kaiwen 
Published: May 2024

Abstract
To tackle the issues of limited fault data, inadequate information availability, and subpar fault diagnosis within the realm of ship ballast water system condition monitoring, this paper presents a novel fault diagnosis methodology known as the Probabilistic Similarity and Linear Similarity-based Graph Convolutional Neural Network (PCGCN) model. PCGCN initially converts the ship’s ballast water system dataset into two distinct graph structures: a probabilistic topology graph and a correlation topology graph. It delves into data similarity by employing T-SNE for probabilistic similarity and Pearson’s correlation coefficient for linear similarity to establish the inter-sample neighbor relationships. Subsequently, an early fusion of these two graph structures is conducted to extract more profound multi-scale feature information. Following this step, the graph convolutional neural network (GCN) is introduced to amalgamate the feature information from neighboring nodes in addition to its inherent features. This is aimed at enhancing the available information for the classification task and addressing the issues of limited fault data and inadequate label information. In conclusion, we employ a simulated ship fault dataset for testing experiments, and the PCGCN model demonstrates superior classification accuracy, reaching 97.49%, outperforming traditional diagnostic methods. These experimental outcomes underscore the applicability of the model introduced in this study to the realm of ship ballast water system fault diagnosis, even under challenging conditions characterized by limited sample sizes and insufficient labeling information.
UAVs Path Planning based on Combination of Rapidly Exploring Random Tree and Rauch-Tung-Striebel Filter
Authors: Wei Zhiqiang , Hu Yu , Dong Zhiyan , Bai Wenbin , Yang Haiyue , Xie Yaen , Shu Feng , Zhang Lihua 
Published: May 2024

Abstract
Aiming at the problem of Unmanned Aerial Vehicle(UAV) formation path planning under complex constraints, a UAV formation path planning method based on the combination of Rapidly exploring Random Tree (RRT) and Rauch-Tung-Striebel (RTS) filter is proposed. Firstly, a path planning algorithm based on the improved RRT algorithm with adaptive step size is de-signed to solve the problem that the RRT algorithm is easy to fall into local optimum. Then, an RTS filter is introduced to smooth the trajectory planned by the improved RRT algorithm to achieve curvature continuity. Finally, taking the smooth trajectory as the reference, a UAV formation path planning algorithm over the Artificial Potential Field (APF) method is designed. The simulation results show that the designed UAV formation path planning algorithm can solve the planning problems of single trajectory and formation trajectories in complex constrained space, and can plan the formation trajectory with continuous curvature, to facilitate the UAV trajectory tracking control.
Design and Simulation of Flexible Rail Hoisting System Without Wind Rope
Authors: Jing Wenchuan , Liu Hu , Li Gang , Wang Tao , Yang Jian 
Published: May 2024

Abstract
Under extreme terrain conditions, there is no site to arrange the control rope retraction system. In this paper, a flexible guide rail hoisting system is designed to replace the traditional transmission tower wind rope hoisting method. Taking the JC27151CG tower assembly as the object, the design of the flexible guide rail hoisting system is carried out, and the ADAMS software is used to establish the dynamic model of the flexible guide rail hoisting system. The mechanical analysis of the flexible guide rail hoisting system is carried out from the perspectives of statics and dynamics.
Emergency Evacuation Path Planning Method for the Large Ships
Authors: Wang Sujuan , Chang Zengzhu 
Published: May 2024

Abstract
When an emergency occurs in a large ship, it is necessary to provide a scientific and reasonable evacuation strategy for the passengers in the ship, so as to avoid the loss of life and property caused by untimely evacuation. For the traditional Dijkstra’s algorithm, which only selects the optimal path based on the single index of path length, this paper takes into account the influence of path length, congestion and safety, and selects the optimal path in real time according to the dynamically changing external environment, which is more suitable for the application of emergency evacuation in large ship. The results of simulation experiments also prove the effectiveness of the algorithm proposed in this paper.
Method for stabilizing the detection efficiency of grazing angle incidence boron-lined neutron detectors
Authors: Liu Lixing , Yu Yangyi , Zhang Zhi , Yang Yigang 
Published: May 2024

Abstract
Boron-lined gaseous neutron detectors intrinsically suffer
from the “self-absorption” effect and hence their neutron
detection efficiencies might be nonconstant, when the threshold of
them undergoes unexpected variation. To address this problem, we
propose a maximum likelihood estimation-based threshold determining
method, via which the pulse height spectra acquired under different
high voltages could be rescaled to the same abscissa axis of
deposited energies. Monte Carlo simulations were conducted to study
the relationship between the precision of the threshold
determination and the counting statistics, as well as the energy
deposition spectrum, indicating that the grazing angle incidence
neutron detector can achieve a fairly small relative standard
variation for a spectrum with a modest total neutron counts. A
prototype grazing angle incidence neutron detector has been
constructed and tested under high voltages ranging from 500 V to
950 V. The experimental results show that, with the maximum
likelihood estimation-based method, the threshold's relative
standard deviations are less than 10% even with a total neutron
counts as low as 100. As a result, the maximum relative variance of
the counting plateau curve is 4.8% in the region of
[500 V, 900 V] when the detector operates at a
grazing angle of 1.8°. The results presented in this study
indicate that combining the grazing angle incidence and the maximum
likelihood estimation-based threshold determining method would be a
promising way to achieve stable neutron detection efficiency for
neutron detectors with the boron layer as the neutron convertor.
Effect of 3D-printed polycaprolactone/osteolectin scaffolds on the odontogenic differentiation of human dental pulp cells
Authors: Bae Kkot-byeol , Kim Hae-mi , Son Ji-won , Ryu Jae-young , Hwang Yun-chan , Koh Jeong-tae , Oh Won-mann , Park Chan , Lee Bin-Na 
Published: May 2024

Abstract
Cell-based tissue engineering often requires the use of scaffolds to provide a three-dimensional (3D) framework for cell proliferation and tissue formation. Polycaprolactone (PCL), a type of polymer, has good printability, favorable surface modifiability, adaptability, and biodegradability. However, its large-scale applicability is hindered by its hydrophobic nature, which affects biological properties. Composite materials can be created by adding bioactive materials to the polymer to improve the properties of PCL scaffolds. Osteolectin is an odontogenic factor that promotes the maintenance of the adult skeleton by promoting the differentiation of LepR+ cells into osteoblasts. Therefore, the aim of this study was to evaluate whether 3D-printed PCL/osteolectin scaffolds supply a suitable microenvironment for the odontogenic differentiation of human dental pulp cells (hDPCs). The hDPCs were cultured on 3D-printed PCL scaffolds with or without pores. Cell attachment and cell proliferation were evaluated using EZ-Cytox. The odontogenic differentiation of hDPCs was evaluated by alizarin red S staining and alkaline phosphatase assays. Western blot was used to evaluate the expression of the proteins DSPP and DMP-Results: The attachment of hDPCs to PCL scaffolds with pores was significantly higher than to PCL scaffolds without pores. The odontogenic differentiation of hDPCs was induced more in PCL/osteolectin scaffolds than in PCL scaffolds, but there was no statistically significant difference. 3D-printed PCL scaffolds with pores are suitable for the growth of hDPCs, and the PCL/osteolectin scaffolds can provide a more favorable microenvironment for the odontogenic differentiation of hDPCs.