bluuebunny/crossref_metadata_2025_split huggingface dataset:
Network algebraization and port relationship for power‐electronic‐dominated power systems
Authors: Ma Rui , Yang Xiaowen , Zhan Meng 
Published: November 2024

AbstractIn the classical differential‐algebraic equations (DAEs) framework for the traditional power system stability analysis, synchronous generators are depicted by differential equations and network by algebraic equations under the quasi‐steady‐state assumption. Differently, in the power‐electronic‐dominated power system (PEDPS), the dynamics of transmission lines of network for fully differential equations should be considered, due to the rapid response of converters' controls, for example, the alternating current controls. This poses a great challenge for the cognition, modeling, and analysis of the PEDPS. In this article, a nonlinear DAE model framework for the PEDPS is established with differential equations for the source nodes and algebraic equations for the dynamical electrical network, by generalizing the application scenarios of Kron reduction. The internal and terminal voltages of source nodes of converters are chosen as ports of nodes and network. Namely, the internal and terminal voltages of source nodes work as their output and input, respectively, whereas they work as the input and output of the algebraic network, respectively. The impact of dynamical network becomes clear, namely, it serves as a (linear) voltage divider and generates the terminal voltage based on the internal voltage of the sources simultaneously. By keeping only useful independent state variables, all differential equations for the transmission lines can be transferred to algebraic equations. With this simple model, the roles of both nodes and network become apparent, and it enhances the understanding of the PEDPS dynamics. On the other hand, broad simulations are conducted and compared to verify the proposed DAE framework for the PEDPS. As all independent variables have been kept in the model, it is found that they show the same computational accuracy, but better efficiency in computational time, compared to the electromagnetic‐transient simulation results.
Identification of CCR7 and CBX6 as key biomarkers in abdominal aortic aneurysm: Insights from multi‐omics data and machine learning analysis
Authors: Yong Xi , Hu Xuerui , Kang Tengyao , Deng Yanpiao , Li Sixuan , Yu Shuihan , Hou Yani , You Jin , Dai Xiaohe , Zhang Jialin , Zhang Junjia , Zhou Junlin , Zhang Siyu , Zheng Jianghua , Yang Qin , Li Jingdong 
Published: November 2024

AbstractAbdominal aortic aneurysm (AAA) is a severe vascular condition, marked by the progressive dilation of the abdominal aorta, leading to rupture if untreated. The objective of this study was to identify key biomarkers and decipher the immune mechanisms underlying AAA utilising multi‐omics data analysis and machine learning techniques. Single‐cell RNA sequencing disclosed a heightened presence of macrophages and CD8‐positive alpha‐beta T cells in AAA, highlighting their critical role in disease pathogenesis. Analysis of cell–cell communication highlighted augmented interactions between macrophages and dendritic cells derived from monocytes. Enrichment analysis of differential expression gene indicated substantial involvement of immune and metabolic pathways in AAA pathogenesis. Machine learning techniques identified CCR7 and CBX6 as key candidate biomarkers. In AAA, CCR7 expression is upregulated, whereas CBX6 expression is downregulated, both showing significant correlations with immune cell infiltration. These findings provide valuable insights into the molecular mechanisms underlying AAA and suggest potential biomarkers for diagnosis and therapeutic intervention.
Searching for compact hierarchical triple system candidates in astrometric binaries and accelerated solutions
Authors: Bashi D. , Tokovinin A. 
Published: November 2024

Context. Compact hierarchical triple (CHT) systems, where a tertiary component orbits an inner binary, provide critical insights into stellar formation and evolution. Despite their importance, the detection of such systems, especially compact ones, remains challenging due to the complexity of their orbital dynamics and the limitations of traditional observational methods.
Aims. This study aims to identify new CHT star systems among Gaia astrometric binaries and accelerated solutions by analysing the radial velocity (RV) amplitude of these systems, thereby improving our understanding of stellar hierarchies.
Methods. We selected a sample of bright astrometric binaries and accelerated solutions from the Gaia DR3 Non-Single Stars catalogue. The RV peak-to-peak amplitude was used as an estimator, and we applied a new method to detect potential triple systems by comparing the RV-based semi-amplitude with the astrometric semi-amplitude. We used available binary and triple star catalogues to identify and validate candidates, with a subset confirmed through further examination of the RV and astrometric data.
Results. Our analysis resulted in the discovery of 956 CHT candidates among the orbital sources as well as another 3115 probable close binary sources in stars with accelerated solutions. Exploring the inclination, orbital period, and eccentricity of the outer companion in these CHT systems provides strong evidence of mutual orbit alignment, as well as a preference towards moderate outer eccentricities.
Conclusions. Our novel approach has proven effective in identifying potential triple systems, thereby increasing their number in the catalogues. Our findings emphasise the importance of combined astrometric and RV data analysis in the study of multiple star systems.
Impact of Social Determinants of Health on Follow-up for Neonates Requiring Neurocritical Care
Authors: Eiler Isabella , Boyd Lakeisha , Klitzman Melissa , Majmudar-Sheth Bittu , Stefanescu Beatrice M. 
Published: November 2024

Objective This study aimed exploration of associations of social determinants of health (SDH) with attrition rates of neurocritical care graduates at follow-up.
Study Design An observational retrospective cohort study was conducted to evaluate the attrition rates of an infant's first appointment scheduled with the NeuroNICU follow-up clinic in correlation with SDH.
Results The “No Show” group was more likely to have unemployed (p = 0.014), black or multiracial mothers (p = 0.005), public insurance (p < 0.001), lower gestational age (p < 0.001), live further from the clinic (0.011), and a lower zip code-associated income (p = 0.008). After controlling for driving time, race, and education, infants who had private insurance were 2.268 times more likely to attend their follow-up visit when compared with infants who had public insurance (p = 0.014).
Conclusion A significant SDH-related difference existed among the “Show” and “No Show” groups. Identifying these factors during neonatal intensive care unit (NICU) admission can facilitate targeted support for families while inpatient and promote improved outpatient follow-up.
Key Points
Post–Liver Transplant Vascular Complications: Diagnosis and Endovascular Management
Authors: Patel Dhruv , Kalra-Lall Anouva , Gadani Sameer 
Published: November 2024

AbstractWith the increasing frequency of liver transplants occurring worldwide, vascular complications after transplant are now more frequently encountered in clinical practice. Thus, healthcare providers must be knowledgeable about these complications and the range of treatment options, including endovascular options, which are gaining in popularity. Vascular complications after liver transplant are typically categorized based on the anatomy involved with conditions classified as hepatic arterial, portal venous, or hepatocaval complications. This article discusses these common vascular complications, including their presentation, how they are diagnosed, and potential management options.
Self-learning path integral hybrid Monte Carlo with mixed ab initio and machine learning potentials for modeling nuclear quantum effects in water
Authors: Thomsen Bo , Nagai Yuki , Kobayashi Keita , Hamada Ikutaro , Shiga Motoyuki 
Published: November 2024

The introduction of machine learned potentials (MLPs) has greatly expanded the space available for studying Nuclear Quantum Effects computationally with ab initio path integral (PI) accuracy, with the MLPs’ promise of an accuracy comparable to that of ab initio at a fraction of the cost. One of the challenges in development of MLPs is the need for a large and diverse training set calculated by ab initio methods. This dataset should ideally cover the entire phase space, while not searching this space using ab initio methods, as this would be counterproductive and generally intractable with respect to computational time. In this paper, we present the self-learning PI hybrid Monte Carlo Method using a mixed ab initio and ML potential (SL-PIHMC-MIX), where the mixed potential allows for the study of larger systems and the extension of the original SL-HMC method [Nagai et al., Phys. Rev. B 102, 041124 (2020)] to PI methods and larger systems. While the MLPs generated by this method can be directly applied to run long-time ML-PIMD simulations, we demonstrate that using PIHMC-MIX with the trained MLPs allows for an exact reproduction of the structure obtained from ab initio PIMD. Specifically, we find that the PIHMC-MIX simulations require only 5000 evaluations of the 32-bead structure, compared to the 100 000 evaluations needed for the ab initio PIMD result.
Longevity in Carnaby’s Cockatoo (Zanda latirostris) Carnaby, 1948
Authors: Saunders Denis A. , Mawson Peter R. , Dawson Rick 
Published: November 2024

Context Carnaby’s Cockatoo Zanda latirostris is an endangered species endemic to south-western Australia. It has been the subject of long-term studies of its ecology from 1969 to the present. Aims This paper examines the maximum recorded life of the species in the wild. Methods The life spans of eight wild Carnaby’s Cockatoos that were more than 20 years old were compared with longevity records of long-lived birds recorded on the banding registers in Australia, USA, and UK. Key results Eight wild Carnaby’s Cockatoos were recorded living from 21 to 35 years, putting the species in the top 2% of all bird species in the wild for which there are longevity records. Conclusions The longevity of Carnaby’s Cockatoo is similar to that of long-lived seabirds. Implications Several years of immaturity and low reproductive output mean that Carnaby’s Cockatoos must be long-lived for the species to be sustainable. Conservation actions need to minimise threats to the lives of adult cockatoos.
Electron attachment induced dissociation of the radiosensitizer molecule 1-(4-bromo-3-nitrophenyl)-1-propanone
Authors: Chen Jiakuan , Arthur-Baidoo Eugene , Schorr Lara , Ončák Milan , Mahmoodi-Darian Masoomeh , Denifl Stephan 
Published: November 2024

Abstract
1-(4-bromo-3-nitrophenyl)-1-propanone (BNPP) is a proposed potential radiosensitizer that might combat hypoxia in tumor cells. Here, we study the electron-induced decomposition of BNPP in the gas phase using a crossed electron-molecular beam experiment supported by quantum chemical calculations. We show that the attachment of a single electron induces dissociation of the BNPP molecule, both directly and upon molecular rearrangement. The most prominent channel includes the formation of Br– at the electron energy of ∼0 eV, the parent anion is observed with an order of magnitude lower intensity. The formation of minor NO2
– and [BNPP–NO]– fragments hints towards NO2 pre-dissociation followed by its roaming in the vicinity of the [BNPP–NO2] fragment, a mechanism already observed in other dissociative electron attachment studies.
Inverse problems for the fractional diffusion equation driven by fractional Brownian sheet
Authors: Lei Shuangdi , Fan Hongtao , Li Yajing 
Published: November 2024

Abstract
This paper explores the inverse problems of the space-time fractional diffusion equation driven by a space-time fractional Brownian sheet, including spatial stochastic source term, spatial deterministic source term, potential, and fractional order. In order to deal with the stochastic integral of fractional Brownian sheet with space-time Hurst indexes

H

1

,

H

2

∈
(
0
,
1
)

, we construct a unified Itô isometry framework for the first time, upon which we establish the regularity of the solution to the direct problem. Then, we ingeniously employ the generalized fractional Grönwall inequality, Sobolev embedding, and combine the statistical characteristics of the outward normal derivative of the weak solution on open subdomain at the boundary to achieve accurate recovery of the stochastic space-time source terms and prove the uniqueness of the space deterministic source term. Furthermore, by constructing a contraction mapping and exploiting the Banach fixed point theorem, we establish the uniqueness of the potential. Afterward, using the statistical characteristics of the solution at the terminal time, we establish the stability of the potential. Finally, leveraging the representation of the mild solution and the asymptotic properties of the Mittag-Leffler function, we examine the uniqueness and stability of fractional order at known terminal time. In scenario involving an unknown terminal time, we derive the uniqueness and stability of the terminal time.
Pseudo-Nambu-Goldstone boson production from inflaton coupling during reheating
Authors: Kaneta Kunio , Lee Sung Mook , Oda Kin-ya , Takahashi Tomo 
Published: November 2024

Abstract
The existence of pseudo-Nambu-Goldstone boson (pNGB) fields is a common feature in many models beyond the Standard Model, characterized by their exclusive derivative couplings. This paper investigates a scenario where a pNGB is coupled to the inflaton field during the reheating phase of the early universe. We calculate the perturbative decay rate of a coherently oscillating inflaton into pNGBs on a general basis, considering both constant and field-dependent couplings with monomial potentials at the minimum. As a concrete application, we explore the production of axions when the radial mode of the Peccei-Quinn (PQ) scalar serves as the inflaton, particularly in the presence of a large gravitational non-minimal coupling. Our findings suggest that the presence of pNGBs during reheating can lead to significant non-thermal relics, offering new constraints on inflationary reheating models and providing potential observational signatures in the form of dark radiation.
Neutrino quantum kinetics in two spatial dimensions
Authors: Cornelius Marie , Shalgar Shashank , Tamborra Irene 
Published: November 2024

Abstract
Our understanding of neutrino flavor conversion in the innermost regions of core-collapse supernovae and neutron star mergers is mostly limited to spherically symmetric configurations that facilitate the numerical solution of the quantum kinetic equations. In this paper, we simulate neutrino quantum kinetics within a (2+1+1) dimensional setup: we model the flavor evolution during neutrino decoupling from matter in two spatial dimensions, one neutrino momentum variable, and time; taking into account non-forward neutral current and charged current collisions of neutrinos with the matter background, as well as neutrino advection. In order to mimic fluctuations in the neutrino emission and matter background, and explore their effect on the flavor evolution, we introduce perturbations in the collision term as well as in the vacuum term of the Hamiltonian. Because of such perturbations, the initial symmetry of the neutrino field across the simulation annulus is broken and flavor conversion is qualitatively affected, with regions of larger flavor conversion alternating across the simulation annulus. In addition, neutrino advection is responsible for spreading flavor waves across neighboring spatial regions. Although based on a simplified setup, our findings highlight the importance of modeling neutrino quantum kinetics in multi-dimensions to assess the impact of neutrinos on the physics of compact astrophysical sources and nucleosynthesis.
Monitoring Technology of Urban Underground Space Infrastructure Structure Based on Fully Polarized Ground Penetrating Radar
Authors: Yu Yue , Feng Xuan , Dong Zejun , Alex Nilot Enhedelihai 
Published: November 2024

Abstract
In order to maintain the safety of underground infrastructures, this paper applies fully polarized ground penetrating radar to develop non-destructive technology for monitoring underground infrastructures such as underground utility tunnels. More specifically, representative numerical models of concrete tunnels were created using GPRMAX to simulate fully polarized microwave scattering simulation data for different degrees of structural changes, pipeline displacements, and concrete wall moisture contents. Algorithms for extracting different physical parameters and scattering polarization characteristics were developed to establish a qualitative relationship between these extracted parameters and actual changes. Monitoring criteria and formulas were subsequently developed based on these relationships. These simulation data will be used to train and optimize the parameters of the monitoring criteria in future study.
A compact ultra-wideband circular bowtie antenna for ground penetrating radar
Authors: Lv Shenzhao , Huang Chunlin , Song Xiaoji , He Zhihua , Liu Tao 
Published: November 2024

Abstract
A compact Ultra-Wideband (UWB) circular bowtie antenna for Ground Penetrating Radar (GPR) is presented in this paper. The bowtie antenna is composed of two circular arms with parallel slots at the edges to obtain UWB performance while maintaining compact in size (0.31λmax × 0.19λmax × 0.16λmax). Each slot has a resistor loading at the edges to minimize the size of antenna. In addition, a microstrip balun is designed for impedance matching. The performance of the proposed antenna is investigated by simulations and the results show a UWB operating bandwidth ranging from 0.4 to 3.52 GHz, a relative bandwidth of 159%, a maximum gain of 2 dBi, and lower late-time ringing level compare to the basic antenna.
Effects of Measuring Angles on Detection of Millimeter-Scale Fractures with Fluid Flow using Full-Polarimetric GPR
Authors: Dong Zejun , Feng Xuan , Zhou Haoqiu , Liu Cai 
Published: November 2024

Abstract
The fractures with fluid flow will lead to the damage of rock cave artifacts and the detection of millimeter-scale fractures is a challenge in artifact conservation. The fluid flow in fractures and the infiltration in surrounding rocks based on hydrological modeling was simulated first. Based on the results, electric permittivity and conductivity models at different time lapse were established, and a series of models with different rotation angles were generated through coordinate rotation for full-polarimetric ground penetrating radar (FP-GPR) simulations. Subsequently, the relationships between H, α, Ps
, Pd
, and Pv
parameters and measurement angles and infiltration time are analyzed. The results indicate that α, Ps
and Pd
have good variation consistency with infiltration time, while H and Pv
do not show a significant relationship with the infiltration time. In addition, the analysis results of the five parameters all indicate that the measurement angle has a significant impact on the parameters at the beginning of infiltration, which is related to the frequency of the adopted electromagnetic waves. The results provide important theoretical support and technical guidance for the use of time-lapse FP-GPR to detect fractures with fluid flow in field cases.
A New 3D Mapping Method of Buried Pipelines from GPR B-scans
Authors: Li Y , Xiao X T , Ge L 
Published: November 2024

Abstract
Ground penetrating radar (GPR) is a non-destructive testing method originally developed for the investigation of underground space and is now widely used in pipeline detection. To map the underground pipelines using GPR, the main challenges include the estimation of depth and orientation through two-dimensional profiles. In this paper, a new 3D mapping framework of buried pipelines from GPR B-scans is proposed. After obtaining sufficient B-scans through parallel survey lines, the proposed procedure mainly includes four stages: data pre-processing, wave velocity estimation, 2D migration and binarization, and 3D stacked image display. Canny edge detection is used to extract hyperbolic features and estimate the propagation velocity of electromagnetic waves in underground media. Migration and binarization are conducted on pre-processed B-scans before 3D stacking. The results show that the proposed method can accurately and intuitively display the position and direction of pipelines by generating three-dimensional images.
Design of dual-channel ground penetrating radar on Tianwen-2 mission
Authors: Li Shuanlao , Liu’ Ruidong , Zheng Shi , He Yinguang , Zhang Xiaoqiang , Dang Hongxing , Tan Xiaomin , Liu Peng 
Published: November 2024

Abstract
The Asteroid Interior Structure Detection Radar(AISDR) is a low-frequency Ground Penetrating Radar(GPR) onboard the Tianwen-2 spacecraft, which aims to detect the internal structure of asteroid. The AISDR has two channels for both deep penetration and high resolution. Field tests have been conducted and the results demonstrate that the performance of AISDR will fulfill the objectives of the Tianwen-2 mission.
Study on detection and estimation method of PCCP filament breaking
Authors: Li Ren Ya , Le Zhao Jian , Shan Huang Shan , Chao Sun Xue , Liu Yi 
Published: November 2024

Abstract
PCCP pipeline traditional comparison method needs to consume a lot of manpower and time, in order to save a lot of manpower and time, improve the detection efficiency, this project for the problems existing in the PCCP pipeline detection, through the study of different pipeline types, analysis of different pipeline waveform, put forward a joint actual wire detection and wire quantity estimation method, put forward the PCCP detection information processing method, solve the problem of interpretation without reference waveform contrast, interpretation frequency. The data of each section of pipeline collected is assembled with equal length, and the selection rules of reference waveform are formulated, so as to realize the difference comparison between interpretation waveform and reference waveform, and assist professional interpreters in rapid interpretation.
Detection Method for Asteroid Interior Structure Verified by Scale Model
Authors: Shi Zheng , Gang Chen , Shuanlao Li , Tao Liu , Shun Dai , Ruidong Liu , Hongxing Dang 
Published: November 2024

Abstract
We have developed a radar scheme for detecting the asteroid interior structure. Using the auto rotation of an asteroid, radar system can hover at a fix distance from the asteroid, and continuously measure the internal structure echoes at different spin angles, which can be processed to obtain the internal structure profile image. Through simulation and scale model test, we have verified the internal structure imaging results and conformed the effectiveness of the hovering radar method. The proposed radar scheme was selected as the science payload for internal structure in China’s asteroid exploration program aiming at Asteroid 2016HO3.