bluuebunny/crossref_metadata_2025_split huggingface dataset:
Radiation-Induced Papillary Meningioma: A Case Report
Authors: Manivel Manoj Kumar , Vivek Visweswaran , Ganesh Krishnamurthy 
Published: December 2022

AbstractMeningiomas are the most common tumors that develop following cranial radiotherapy. They have a shorter latency period and an aggressive behavior when compared with spontaneously occurring meningiomas. We report a 69-year-old male who underwent high-dose radiotherapy for recurrent pituitary adenoma and later developed temporal high-grade meningioma which was excised. Patient developed tumor bed bleed twice in the postoperative period and succumbed subsequently to the disease. After a thorough review of literature, this may be the second case of radiation-induced grade III papillary meningioma which has been reported.
Improving LIGO calibration accuracy by using time-dependent filters to compensate for temporal variations
Authors: Wade M , Viets A D , Chmiel T , Stover M , Wade L 
Published: December 2022

Abstract
The response of the Advanced Laser Interferometer Gravitational-wave Observatory (Advanced LIGO) interferometers is known to vary with time (Tuyenbayev et al 2017 Class. Quantum Grav.
34 015002). Accurate calibration of the interferometers must therefore track and compensate for temporal variations in calibration model parameters. These variations were tracked during the first three Advanced LIGO observing runs, and compensation for some of them has been implemented in the calibration procedure. During the second observing run, multiplicative corrections to the interferometer response were applied while producing calibrated strain data both in real time and in high latency. In a high-latency calibration produced after the second observing run and during the entirety of the third observing run, a correction requiring periodic filter updates was applied to the calibration–the time dependence of the coupled cavity pole frequency

f

c
c

. This paper describes the methods developed to compensate for variations in the interferometer response requiring time-dependent filters, including variable zeros, poles, gains, and time delays. The described methods were used to provide compensation for well-modeled time dependence of the interferometer response, which has helped to reduce systematic errors in the calibration to

<

2% in magnitude and

<

2∘ in phase across LIGO’s most sensitive frequency band of 20–2000 Hz (Sun et al 2020 Class. Quantum Grav.
37 225008; Sun et al 2021 arXiv:2107.00129 [astro-ph.IM]). Additionally, this paper shows how such compensation is relevant for astrophysical inference studies by reducing uncertainty and bias in the sky localization for a simulated binary neutron star merger.
Intelligent bearing fault diagnosis method based on a domain aligned clustering network
Authors: Zhou Huafeng , Cheng Peiyuan , Shao Siyu , Zhao Yuwei , Yang Xinyu 
Published: December 2022

Abstract
In recent years, intelligent fault diagnosis algorithms based on domain adaptation have provided a feasible solution to the problem of diagnosing performance degradation caused by different data distributions and a lack of target labels. However, most of the existing domain adaptation fault diagnosis algorithms are highly dependent on the label space and prior knowledge of the source and target domain, which greatly limits their application in practical scenarios. In this paper, faced with the circumstances that fault information and label space of the target mechanical device are completely unknown, a novel intelligent diagnostic method based on universal domain adaptation—the domain aligned clustering network (DACN)—is proposed. On the one hand, the number of clusters is determined by domain clustering analysis, and the public class and private class samples in both domains are identified. On the other hand, in order to achieve high accuracy of model identification on common class samples, this paper introduces the contrast domain difference and realizes class alignment between different domains by maximizing the inter-class difference and minimizing the intra-class difference. Finally, the effectiveness of the DACN is verified on the bearing datasets from Case Western Reserve University and Paderborn University. A one-dimensional class gradient activation map is calculated to explain the performance of the fault diagnosis model.
A two-stage deep-learning-based balancing method for rotating machinery
Authors: Zhong Shun , Han Hong-Xiang , Hou Lei 
Published: December 2022

Abstract
Purpose—balancing is essential to all rotating machinery. To make the balancing process convenient and inexpensive, new balancing technologies are needed. In this work, a two-stage deep-learning-based balancing method is proposed and validated. Design/methodology/approach—the architecture of the method is described. The whole balancing method has two stages. The first stage identifies the unbalanced force vector and the second stage identifies the correlation masses and phases from the unbalanced force series. Deep-learning-based modules can be trained using one-run response data and labeled support force data only. Findings—both numerical and experimental balancing performances are reasonable and comparative. The performances indicate that the proposed method is validated and robust. Originality—the proposed method combines deep learning technology with rotor dynamics knowledge. The proposed method achieves good performance without a weight trail process and provides a competitive approach for rotor balancing technology.
From atomistic systems to linearized continuum models for elastic materials with voids
Authors: Friedrich Manuel , Kreutz Leonard , Zemas Konstantinos 
Published: December 2022

Abstract
We study an atomistic model that describes the microscopic formation of material voids inside elastically stressed solids under an additional curvature regularization at the discrete level. Using a discrete-to-continuum analysis, by means of a recent geometric rigidity result in variable domains (Friedrich et al 2021 arXiv:2107.10808) and Γ-convergence tools, we rigorously derive effective linearized continuum models for elastically stressed solids with material voids in three-dimensional elasticity.
In vivo adaptive focusing for clinical contrast-enhanced transcranial ultrasound imaging in human
Authors: Robin Justine , Demené Charlie , Heiles Baptiste , Blanvillain Victor , Puke Liene , Perren Fabienne , Tanter Mickael 
Published: December 2022

Abstract

Objective. Imaging the human brain vasculature with high spatial and temporal resolution remains challenging in the clinic today. Transcranial ultrasound is still scarcely used for cerebrovascular imaging, due to low sensitivity and strong phase aberrations induced by the skull bone that only enable the proximal part major brain vessel imaging, even with ultrasound contrast agent injection (microbubbles). Approach. Here, we propose an adaptive aberration correction technique for skull bone aberrations based on the backscattered signals coming from intravenously injected microbubbles. Our aberration correction technique was implemented to image brain vasculature in human adults through temporal and occipital bone windows. For each subject, an effective speed of sound, as well as a phase aberration profile, were determined in several isoplanatic patches spread across the image. This information was then used in the beamforming process. Main results. This aberration correction method reduced the number of artefacts, such as ghost vessels, in the images. It improved image quality both for ultrafast Doppler imaging and ultrasound localization microscopy (ULM), especially in patients with thick bone windows. For ultrafast Doppler images, the contrast was increased by 4 dB on average, and for ULM, the number of detected microbubble tracks was increased by 38%. Significance. This technique is thus promising for better diagnosis and follow-up of brain pathologies such as aneurysms, arterial stenoses, arterial occlusions, microvascular disease and stroke and could make transcranial ultrasound imaging possible even in particularly difficult-to-image human adults.
Reconstruction of thermoacoustic emission sources induced by proton irradiation using numerical time reversal
Authors: Mast T Douglas , Johnstone David A , Dumoulin Charles L , Lamba Michael A , Patch Sarah K 
Published: December 2022

AbstractObjective.Mapping of dose delivery in proton beam therapy can potentially be performed by analyzing thermoacoustic emissions measured by ultrasound arrays. Here, a method is derived and demonstrated for spatial mapping of thermoacoustic sources using numerical time reversal, simulating re-transmission of measured emissions into the medium.Approach.Spatial distributions of thermoacoustic emission sources are shown to be approximated by the analytic-signal form of the time-reversed acoustic field, evaluated at the time of the initial proton pulse. Given calibration of the array sensitivity and knowledge of tissue properties, this approach approximately reconstructs the acoustic source amplitude, equal to the product of the time derivative of the radiation dose rate, mass density, and Grüneisen parameter. This approach was implemented using two models for acoustic fields of the array elements, one modeling elements as line sources and the other as rectangular radiators. Thermoacoustic source reconstructions employed previously reported measurements of emissions from proton energy deposition in tissue-mimicking phantoms. For a phantom incorporating a bone layer, reconstructions accounted for the higher sound speed in bone. Dependence of reconstruction quality on array aperture size and signal-to-noise ratio was consistent with previous acoustic simulation studies.Main results.Thermoacoustic source distributions were successfully reconstructed from acoustic emissions measured by a linear ultrasound array. Spatial resolution of reconstructions was significantly improved in the azimuthal (array) direction by incorporation of array element diffraction. Source localization agreed well with Monte Carlo simulations of energy deposition, and was improved by incorporating effects of inhomogeneous sound speed.Significance.The presented numerical time reversal approach reconstructs thermoacoustic sources from proton beam radiation, based on straightforward processing of acoustic emissions measured by ultrasound arrays. This approach may be useful for ranging and dosimetry of clinical proton beams, if acoustic emissions of sufficient amplitude and bandwidth can be generated by therapeutic proton sources.
Effects of cavity birefringence in polarisation-encoded quantum networks
Authors: Kassa E , Hughes W , Gao S , Goodwin J F 
Published: December 2022

Abstract
The generation of entanglement between distant atoms via single photons is the basis for networked quantum computing, a promising route to large-scale trapped-ion and trapped-atom processors. Locating the emitter within an optical cavity provides an efficient matter-light interface, but mirror-induced birefringence within the cavity introduces time-dependence to the polarisation of the photons produced. We show that such ‘polarisation oscillation’ effects can lead to severe loss of fidelity in the context of two-photon, polarisation encoded measurement-based remote entanglement schemes. It is always preferable to suppress these errors at source by minimising mirror ellipticity, but we propose two remedies for systems where this cannot be achieved. We conclude that even modest cavity birefringence can be detrimental to remote entanglement performance, to an extent that may limit the suitability of polarisation-encoded schemes for large-scale quantum networks.
Fitting covariance matrix models to simulations
Authors: Fumagalli Alessandra , Biagetti Matteo , Saro Alex , Sefusatti Emiliano , Slosar Anže , Monaco Pierluigi , Veropalumbo Alfonso 
Published: December 2022

Abstract
Data analysis in cosmology requires reliable covariance matrices. Covariance matrices derived from numerical simulations often require a very large number of realizations to be accurate. When a theoretical model for the covariance matrix exists, the parameters of the model can often be fit with many fewer simulations. We write a likelihood-based method for performing such a fit. We demonstrate how a model covariance matrix can be tested by examining the appropriate χ
2 distributions from simulations. We show that if model covariance has amplitude freedom, the expectation value of second moment of χ
2 distribution with a wrong covariance matrix will always be larger than one using the true covariance matrix. By combining these steps together, we provide a way of producing reliable covariances without ever requiring running a large number of simulations. We demonstrate our method on two examples. First, we measure the two-point correlation function of halos from a large set of 10000 mock halo catalogs. We build a model covariance with 2 free parameters, which we fit using our procedure. The resulting best-fit model covariance obtained from just 100 simulation realizations proves to be as reliable as the numerical covariance matrix built from the full 10000 set. We also test our method on a setup where the covariance matrix is large by measuring the halo bispectrum for thousands of triangles for the same set of mocks. We build a block diagonal model covariance with 2 free parameters as an improvement over the diagonal Gaussian covariance. Our model covariance passes the χ
2 test only partially in this case, signaling that the model is insufficient even using free parameters, but significantly improves over the Gaussian one.
Constraint on Brans-Dicke theory from intermediate/extreme mass ratio inspirals
Authors: Jiang Tong , Dai Ning , Gong Yungui , Liang Dicong , Zhang Chao 
Published: December 2022

Abstract
Intermediate/Extreme mass ratio inspiral (I/EMRI) system provides a good tool
to test the nature of gravity in strong field.
Based on the method of osculating orbits,
we compute the orbital evolutions of I/EMRIs on quasi-elliptic orbits in
both Einstein's general relativity and Brans-Dicke theory.
The extra monopolar and dipolar channels in Brans-Dicke theory accelerate the orbital decay,
so it is important to consider the effects of monopolar and dipolar emissions on the waveform.
With the help of accurate orbital motion,
we generate waveform templates which include both monopolar and dipolar contributions for I/EMRIs on eccentric orbits in Brans-Dicke theory.
With a two-year observation of gravitational waves emitted from I/EMRIs by LISA,
we get the most stringent constraint on the Brans-Dicke coupling parameter ω
0 > 106.
Steady-state relation of a two-level system strongly coupled to a many-body quantum chaotic environment
Authors: Yan Hua , Wang Jiaozi , Wang Wen-ge 
Published: December 2022

Abstract
We study the long-time average of the reduced density matrix (RDM) of a two-level system as the central system, which is locally coupled to a many-body quantum chaotic system as the environment, under an overall Schrödinger evolution. A phenomenological relation among elements of the RDM is proposed for a dissipative interaction in the strong coupling regime and is tested numerically with the environment as a defect Ising chain, as well as a mixed-field Ising chain.
Using a high-frequency carrier does not improve comfort of transcutaneous spinal cord stimulation
Authors: Dalrymple Ashley N , Hooper Charli Ann , Kuriakose Minna G , Capogrosso Marco , Weber Douglas J 
Published: December 2022

Abstract

Objective. Spinal cord neuromodulation has gained much attention for demonstrating improved motor recovery in people with spinal cord injury, motivating the development of clinically applicable technologies. Among them, transcutaneous spinal cord stimulation (tSCS) is attractive because of its non-invasive profile. Many tSCS studies employ a high-frequency (10 kHz) carrier, which has been reported to reduce stimulation discomfort. However, these claims have come under scrutiny in recent years. The purpose of this study was to determine whether using a high-frequency carrier for tSCS is more comfortable at therapeutic amplitudes, which evoke posterior root-muscle (PRM) reflexes. Approach. In 16 neurologically intact participants, tSCS was delivered using a 1 ms long monophasic pulse with and without a high-frequency carrier. Stimulation amplitude and pulse duration were varied and PRM reflexes were recorded from the soleus, gastrocnemius, and tibialis anterior muscles. Participants rated their discomfort during stimulation from 0 to 10 at PRM reflex threshold. Main Results. At PRM reflex threshold, the addition of a high-frequency carrier (0.87 ± 0.2) was equally comfortable as conventional stimulation (1.03 ± 0.18) but required approximately double the charge to evoke the PRM reflex (conventional: 32.4 ± 9.2 µC; high-frequency carrier: 62.5 ± 11.1 µC). Strength-duration curves for tSCS with a high-frequency carrier had a rheobase that was 4.8× greater and a chronaxie that was 5.7× narrower than the conventional monophasic pulse, indicating that the addition of a high-frequency carrier makes stimulation less efficient in recruiting neural activity in spinal roots. Significance. Using a high-frequency carrier for tSCS is equally as comfortable and less efficient as conventional stimulation at amplitudes required to stimulate spinal dorsal roots.
Effects of drifts on scrape-off layer transport in W7-X
Authors: Kriete D.M. , Pandey A. , Perseo V. , Schmitt J.C. , Ennis D.A. , Gradic D. , Hammond K.C. , Jakubowski M. , Killer C. , König R. , Maurer D.A. , Reimold F. , Winters V. , Beurskens M.N.A. , Bozhenkov S.A. , Brunner K.J. , Fuchert G. , Knauer J. , Pasch E. , Scott E.R. 
Published: December 2022

Abstract
Drifts affect particle, momentum, and energy transport in the scrape-off layer (SOL) of tokamaks and stellarators, altering plasma flows and creating asymmetries between divertors. To understand how drifts affect SOL transport in the W7-X island divertor, an experiment was performed to compare plasmas with matched core parameters but opposite magnetic field directions, and therefore opposite drift transport directions. Parallel flow measurements made with coherence imaging spectroscopy are interpreted with the aid of a diagnostic forward model and a 1D simple SOL model that includes the

E

×

B

drift. In low-density plasmas (

n
‾

e

<
2
×

10

19

m−3), the poloidal

E

×

B

drift induces a large poloidal density asymmetry within the island SOL, as measured by divertor Langmuir probes. This in turn causes the parallel flow stagnation point to shift from the position halfway between targets to the X-point in the drift direction, leading to near-unidirectional flow throughout the SOL. As density increases, the effects of the poloidal

E

×

B

drift decrease substantially, resulting in a smaller density asymmetry and the development of a counter-streaming flow pattern. For the entire density range probed in this experiment (

n
‾

e

=
1.5
−
6
×

10

19

m−3), the experimental observations are more consistent with the effects of the poloidal

E

×

B

drift than the radial

E

×

B

drift.
Research on coordinated optimization of unit maintenance plan and economic dispatch in the integrated energy system
Authors: Liu Hongyu , Hu Linxian , Liu Runzhong 
Published: December 2022

Abstract
The medium and long-term operation of the unit is an important part of the operation of the power energy system. With the development of IES, the coupling of various energy forms such as electricity, heat and natural gas has been continuously strengthened. When a CHP unit or a gas unit is shut down, its impact will involve a variety of energy systems. Therefore, It is of great significance to formulate a reasonable annual unit combination plan and a coordinated optimization plan for the maintenance plan. First of all, starting from the coupling mechanism of the power supply, heating and gas supply of the unit, consider the relationship between each system and equipment. On this basis, taking into account the system operation constraints, unit maintenance constraints and unit operation constraints, a combined dispatch model of IES unit combination and maintenance plan including power-to-gas (P2G) and electric boiler equipment are proposed. The accuracy and effectiveness of the proposed model are verified through simulation analysis of a numerical example. The calculation example results show that the overall arrangement of the unit maintenance plan and the unit combination plan in the integrated energy system can improve the operating economy of the system; the introduction of coupling equipment such as P2G and electric boilers can effectively improve the new energy consumption rate and reduce the system operating cost.
Study on the Influence of SiO2 on Silicone Rubber Material Used in Cable Accessories
Authors: Zhao Xuefeng , Han Jiarui , Pu Lu , Duan Wei , Ju Zeli , Sun Haofei , Gao Jian 
Published: December 2022

Abstract
Silicone rubber is an insulating material widely used in DC cable accessories. Its interface is a weak area of insulation. Hydrated silica (SiO2·H2O) is a reinforcing agent commonly used in SR, and its main component is SiO2. Based on the theory of nano-composite dielectric, four kinds of composite silicone rubber samples with different filler contents were prepared by taking silica as the filler and liquid silicone rubber as the matrix. The properties of composite samples were tested. It is found that nano-modification can optimize the surface morphology distribution characteristics of silicone rubber, reduce the roughness, improve the tensile strength, and deepen the trap energy distribution of silicone rubber. The results of the research provide help for the design of DC cable accessories.
Arm Voltage Balance Control of a Modular Multilevel Matrix Converter with Inner and Outer Loop Double Adjustment Based on Circulating Current
Authors: Yan Tongyu , Ye Rong , Hu Yahan , Meng Yongqing , Ma Chunzhe , Duan Ziyue 
Published: December 2022

Abstract
This paper presents a control strategy of inter-arm voltage balance for a modular multilevel matrix converter (M3C) based on injected circulating current. The proposed method is divided into two parts, balancing the inter-arm voltage through the current control loop and the voltage control loop respectively. The strategy improves the current performance of the grid on both sides by enforcing the injected power to flow only within the nine arms, which is simple to control and suitable for various working conditions including stable operation and faults. Comparative simulation results obtained using Matlab/Simulink prove that the proposed control strategy can significantly reduce the inter-arm voltage imbalance, which demonstrates the performance and effectiveness of the strategy.
Optimal operation of RSOC integrated energy systems considering multi-state transitions
Authors: Zhang Xuzheng , Yu Haoyu , Zhao Hongfei , Zhang Zihang , Wu Kai , Zhou Jun 
Published: December 2022

Abstract
Reversible solid oxide fuel cells (RSOC) can realize energy storage and power generation in a compact structure, and their high-temperature operation characteristics provide the possibility for combined heat and power generation. Therefore, RSOC can be used as the node of the multi-energy flow intersection of the integrated energy system. The flexible operation mode of RSOC will greatly reduce the operation cost. However, the optimal operation of an integrated energy system including RSOC is very rare at present, so this paper establishes an integrated energy system of the electric gas network including RSOC. On this basis, this paper constructs an RSOC model, a DC power flow model and a linearized gas power flow model considering multiple operating states. Then, based on GAMS, the economic cost of a 24-20 electric gas composite network is optimized. After verifying the reliability of the model, the optimization results considering two working conditions and four working conditions are compared. It is concluded that the model considering multiple operating states of RSOC will reduce the operating cost of the system by 24%.