bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sampling complexity on phase retrieval from masked Fourier measurements via Wirtinger flow*
Authors: Li Huiping , Li Song , Xia Yu 
Published: August 2022

Abstract
In this paper, we consider the problem of phase retrieval under masked Fourier measurements. Specifically, we focus on a question raised by E Candès et al, namely, to reduce the sampling complexity of such problem in noiseless case. We provide a truncated Wirtinger flow (TWF) algorithm with resampling to solve the problem. This algorithm starts with an initial guess computed by some truncated spectral method, then proceeds by successively refining the estimation via an update rule that bears a strong resemblance to a gradient descent scheme. These careful selection rules provide better initial guess and descent direction. We prove that when the sampling complexity is O(n log n), we get some good initial solution. Furthermore, the sequence generated by the resampled TWF algorithm can linearly converge to the true signal

x
∈

C

n

with

ϵ

~

-accuracy up to a global phase, provided with the sampling complexity

O

(

log

(

1

ϵ

~

)

n

log

2

⁡
n

)

. To some degree, we improve the results proposed by E Candès et al, which demand O(n log4
n) samples.
Stability estimate for the broken non-abelian x-ray transform in Minkowski space
Authors: St-Amant Simon 
Published: August 2022

Abstract
We study the broken non-abelian x-ray transform in Minkowski space. This transform acts on the space of Hermitian connections on a causal diamond and is known to be injective up to an infinite-dimensional gauge. We show a stability estimate that takes the gauge into account, leading to a new proof of the transform’s injectivity. Our proof leads us to consider a special type of connections that we call light-sink connections. We then show that we can consistently recover a light-sink connection from noisy measurement of its x-ray transform data through Bayesian inversion.
Uniqueness and numerical inversion in the time-domain fluorescence diffuse optical tomography
Authors: Sun Chunlong , Zhang Zhidong 
Published: August 2022

Abstract
This work considers the time-domain fluorescence diffuse optical tomography (FDOT). We recover the distribution of fluorophores in biological tissue by the boundary measurements. With the Laplace transform and the knowledge of complex analysis, we build the uniqueness theorem of this inverse problem. After that, the numerical inversions are considered. We introduce an iterative inversion algorithm under the framework of regularizing scheme, then give several numerical examples in three-dimensional space illustrating the performance of the proposed inversion schemes.
Self-consistent theory of current injection into d and d + is superconductors
Authors: Seja Kevin Marc , Löfwander Tomas 
Published: August 2022

Abstract
We present results for the steady-state nonlinear response of a

d

x
2

−

y
2

superconducting film connected to normal-metal reservoirs under voltage bias, allowing for a subdominant s-wave component appearing near the interfaces. Our investigation is based on a current-conserving theory that self-consistently includes the non-equilibrium distribution functions, charge imbalance, and the voltage-dependencies of order parameters and scalar impurity self-energies. For a pure d-wave superconductor with [110] orientation of the interfaces to the contacts, the conductance contains a zero-bias peak reflecting the large density of zero-energy interface Andreev bound states. Including a subdominant s-wave pairing channel, it is in equilibrium energetically favorable for an s-wave order parameter component

Δ

s

to appear near the interfaces in the time-reversal symmetry breaking combination d + is. The Andreev states then shift to finite energies in the density of states. Under voltage bias, we find that the non-equilibrium distribution in the contact area causes a rapid suppression of the s-wave component to zero as the voltage

e
V
→

Δ

s

. The resulting spectral rearrangements and voltage-dependent scattering amplitudes lead to a pronounced non-thermally broadened split of the zero-bias conductance peak that is not seen in a non-selfconsistent Landauer–Büttiker scattering approach.
Robust two-colour pyrometry uncertainty analysis to acquire spatially-resolved measurements
Authors: Reggeti Shawn A , Agrawal Ajay K , A Bittle Joshua 
Published: August 2022

Abstract
Two-colour pyrometry (2CP) has been used over several decades to study engine-relevant combustion processes, but results are generally regarded as qualitative or semi-quantitative. In many current 2CP systems, large measurement errors are introduced by parallax because the two measured wavelengths are not from the same line of sight. This work presents a spatially-resolved 2CP system with the objective of quantifying and reducing measurement uncertainty. An optical setup that eliminates parallax in 2CP is used together with pixel-by-pixel calibration of the camera sensor to increase measurement accuracy. Primary uncertainty terms are identified, and an error propagation analysis is performed to compute uncertainties in the final results of soot temperature, soot concentration parameter, KL, and soot mass. These methodologies are applied to investigate an auto-igniting fuel spray in a constant pressure flow rig at diesel-like conditions of high ambient pressure and temperature. Results show bias uncertainty of around 200 K (≈10%) for temperature and about 40%–60% for KL. High uncertainty was found to occur on the diffusion flame front where both optical thickness and soot concentrations are small. However, these uncertain measurement zones with relatively low soot concentrations contribute minimally to the total soot mass present in the reacting jet during the temporal evolution of the flame.
Effect of sensor installation angle on measurement of explosion shock wave pressure
Authors: Wang Liangquan , Shang Fei , Deren Kong 
Published: August 2022

Abstract
The inclination of a shock wave pressure sensor with respect to the ground has been reported to have a significant effect on the accuracy of the measured shock wave pressure. Extensive research is required for the planning of damage power test site layouts and improvement of the accuracy of blast shock wave pressure tests. Thus, in this study, we established a three-dimensional numerical simulation model based on a real shooting range test site and investigated the effects of various sensor installation angles and measurement point distances on the shock wave overpressure via multi-point modeling. Overpressure data and pressure evolution contour plots were generated from seven sensor installation angles and six measurement points. Overpressure–time history curves, peak overpressure decay rates, and relative change in the peak overpressure with the installation angle were analyzed to investigate the effects of the sensor installation angle on the pressure test. The data obtained from the numerical simulation model were verified via field explosion tests. Furthermore, a theoretical correction model for the measured surface reflection pressure with respect to the installation angle was established, and a model calculation accuracy of 91.33%.
Critical current and n-value prediction of second-generation high temperature superconducting conductors considering the temperature-field dependence based on the back propagation neural network with encoder
Authors: Zhu Lingfeng , Wang Yinshun , Meng Ziqing , Wang Tianjing 
Published: August 2022

Abstract
The qualities of superconducting conductors are usually characterized by their critical current and n-value. In this paper, the critical current and the n-value of the second-generation (2G) high temperature superconducting (HTS) conductors considering the temperature-field dependence are predicted by a back propagation (BP) neural network as J
c(B, θ, T) and n(B,θ,T). A correlation exists between the critical current and the n-value, thus in our BP neural network, the tasks of estimating the critical current and the n-value can be carried out in one network. The outputs used to predict the critical current and the n-value share the same hidden layers of the network, and therefore the critical current and the n-value can be calculated simultaneously. The critical current and the n-value of HTS conductors vary for different manufacturers and even for the same manufacturer but different production batches. In our BP network, we use an encoder structure to encode different manufacturers and production batches to ensure that the network can be adapted to the HTS conductors so produced. The predictions on three different samples of HTS conductors are carried out and the results are compared with those obtained from linear interpolation at different temperature-field conditions. In addition to the high accuracy, when compared with the linear interpolation, the proposed network can suppress the fluctuations existing in the experimental data and ensure the prediction results to be more reasonable. The time required for the proposed network to obtain the prediction results of the critical current and the n-value is also discussed, which is within 5 s. Therefore, the proposed network has the potential to be applied to the optimization and analysis of the superconducting related equipment.
Large signal of h → µτ within the constraints of e

i
→ e

j

γ decays in the 3-3-1 model with neutral leptons*
Authors: Hung H. T. , Binh D. T. , Quyet H. V. 
Published: August 2022

Abstract
In the framework of the 3-3-1 model with neutral leptons, we investigate lepton-flavor-violating sources based on the Higgs mass spectrum, which has two neutral Higgs identified with the corresponding ones of the two-Higgs-doublet model. We note that at the

scale of the LHC, the parameter space regions satisfy the experimental limits of

decays. These regions depend heavily on the mixing of exotic leptons but are predicted to have large

signals. We also show that

can reach a value of

.
Magnetic Field Crosstalk Suppression Method on Superconducting Quantum Chips
Authors: Ye Yan , Liu Jiangtao , Hou Xiaoqiang , Zhang Jianqiong , Huang ZhiZhuo 
Published: August 2022

Abstract
The arithmetic power of a quantum computer is determined by a combination of the number of quantum bits and the fidelity of a single bit. Superconducting quantum chips can be prepared using a process similar to that of semiconductor chips, and are therefore of interest because of their natural advantages in terms of scalability. However, as the number of quantum bits increases, the z-control lines (magnetic field control lines) on the superconducting quantum chip also increase, leading to increased magnetic field crosstalk between individual control lines, which affects the fidelity of a single bit and further affects the arithmetic power of superconducting quantum computing. To address the above problems, this paper proposes two methods to reduce the magnetic field crosstalk between the control lines by modeling and simulating the superconducting quantum chip using air bridges and inflow structures, and the simulation results show that the magnetic field crosstalk between the control lines is significantly improved after the introduction of air bridges and inflow structures. This work provides a basis for further suppression of magnetic field crosstalk between the z-control lines of superconducting quantum chips.
Adaptive Restraint Coefficient-Based Differential Protection for Main Transformers in Wind Farms
Authors: Zhang Zhi , Sun Yang , Li Zhiyan 
Published: August 2022

Abstract
Influenced by factors such as fault current frequency deviation, current transformer (CT) saturation and abnormal data, the traditional transformer current differential protection scheme contains the risks of slow operating speed or false operation in the wind power system. To guarantee the safe operation of the power system, by improving the traditional current differential protection scheme, a differential protection scheme based on the adaptive restrain coefficient was proposed for the main transformers of wind farms. The proposed protection adaptively adjusts the restraint coefficient according to the time-domain distribution characteristics of differential current. When the internal fault occurs, the restraint coefficient will be adaptively reduced; the restraint coefficient will adaptively increase when the non-internal fault occurs. The proposed protection scheme significantly surpasses the traditional current different protection in terms of operating performance, because it can accurately identify the internal faults and strongly resist abnormal data, CT saturation and magnetizing inrush current.
Research of the Loss of Power Transformer Structure
Authors: Lei Liu , Longfei Li , Houguang Chu , Fei Zhang , Ming Jin , Weining Zhang , Zhijie Ge , Zhaoguang Du 
Published: August 2022

Abstract
This paper first introduces the research status of magnetic flux leakage and eddy current loss of power transformer at home and abroad, and discusses the significance and purpose of magnetic flux leakage and eddy current loss of power transformer metal components. At the same time, for the problems encountered in the calculation process of this paper, the corresponding solutions and the corresponding practical assumptions to simplify the calculation are given. In this paper, COMSOL software is used to establish the mathematical model of large power transformer and the actual three-dimensional finite element model of transformer, and the three-dimensional leakage magnetic field of large capa city transformer is accurately calculated. A surface impedance method based on double scalar magnetic potential is proposed. Using this method, the leakage magnetic field of structural parts of power transformer, such as pull plate, clamp, oil tank and so on, is analyzed and calculated The size and distribution of magnetic and eddy current losses. The simulation results are compared with the theoretical values to verify the validity and accuracy of the surface impedance method based on double scalar magnetic potential in analyzing the eddy current loss of large power transformer. Then this method is further applied to the analysis and calculation of magnetic leakage field and eddy current loss of a 6300kVA large power transformer to analyze the magnetic leakage field and eddy current loss of its metal components.
Scenario Generation for Wind Power Using Generative Adversarial Networks
Authors: Tiancheng Shi , Gejirifu De , Hao Cong , Wenzhang Guo , Yalin Zhong , Long Qian 
Published: August 2022

Abstract
Scenarios generation is a critical part in planning and operation in high renewable energy penetratied power systems. However, the statistical assumptions of traditional parametric methods may not hold for all types of wind farms. In this paper, a data-driven artificial intelligence approach is presented to generate wind power output scenarios based on generative adversarial networks (GANs). Unlike traditional probabilistic model-based techniques which are typically difficult to scale or sample, the proposed method is data-driven and captures patterns of wind power generation. First, the GAN network structure is constructed, and the Wasserstein distance is employed as the discriminator’s loss function. The GAN training then enables the generator to learn random noise and actual history data. Finally, the scenario generation approach based on Monte Carlo simulation and GANs are compared. It shows that the scenarios generated by proposed method can accurately describe the uncertainty of wind power output.
Road Extraction using High Resolution Satellite Images based on Receptive Field and Improved Deeplabv3+
Authors: Wang Yun , Wang Suye , Hong XueBin 
Published: August 2022

Abstract
Road extraction from high resolution remote sensing images is an important and challenging computer vision task. This paper presents a road segmentation based on Receptive Field and Improved Deeplabv3+, which obtains the best training image set by calculating the edged energy function after simply clipping. To solve the problem of data homogeneity across as well as convergence, we innovatively use the initialization method Leaky-He to extract the layer backbone network in the network structure. Using the DeepGlobe Road Extraction dataset as the training dataset, the experimental results show that the best mloU score of the test set is 0.7099, which can improve the results by 0.1919 and 0.1596 in this paper compared with U-Net and D-LinkNet classical networks.
Real-time pulse shape discrimination for neutron scattering science using EJ-270
Authors: Richards S.A. , Helbsy W. , Sykora G.J. , Wheater R.M. , Wilson M.D. 
Published: August 2022

Abstract
A detector for neutron scattering applications utilizing the 6Li loaded pulse shape discrimination scintillator EJ-270 was developed. The detector utilises a pulse shape discrimination algorithm developed for high-count rate applications implemented in FPGA to enable real time operation. The implemented algorithm we call Tail Sum was specifically developed for high-rate thermal neutron detection and implemented into a 2 channel 500 MSps 14-bit ADC with a Xilinx Kintex 7 K325T FPGA. The detector consisted of a 48 mm diameter × 15 mm thick cylinder of EJ-270 mounted on a Hamamatsu R6231-100 PMT and an E1198-2 base at -1000 V. The performance of the system was evaluated using a moderated 241Am-Be mixed radionuclide source, a figure of merit of 1.605 ± 0.007 was measured. The γ-ray sensitivity of the system was measured using a 60Co source and found to be 3.23 × 10-6 ± 7 × 10-8. The high neutron count rate capability of the system was tested on the Emma instrument at the ISIS pulsed neutron and muon source based at the Rutherford Appleton Laboratory, a peak count rate of 5 × 105 neutrons per second was measured on a single channel and was found to have no statistically significant deviation from the expected count-rate.
FlameNEST: explicit profile likelihoods with the Noble Element Simulation Technique
Authors: James R.S. , Palmer J. , Kaboth A. , Ghag C. , Aalbers J. 
Published: August 2022

AbstractWe present FlameNEST, a framework providing explicit likelihood evaluations in noble element particle detectors using data-driven models from the Noble Element Simulation Technique. FlameNEST provides a way to perform statistical analyses on real data with no dependence on large, computationally expensive Monte Carlo simulations by evaluating the likelihood on an event-by-event basis using analytic probability elements convolved together in a single TensorFlow multiplication. Furthermore, this robust framework creates opportunities for simple inter-collaboration analyses which will be fundamental for the future of experimental dark matter physics.
Surface characterization and secondary electron yield measurement of the Ti-Zr-V films deposited on laser-etched copper
Authors: Zhang Wenli , Zhu Bangle , Wang Sihui , Fan Le , Fang Jianwei , Bian Baoyuan , Li Weimin , Wang Yong 
Published: August 2022

Abstract
The electron multipacting effect and distributed vacuum profile, induced by the interaction of the particles in vacuum chamber with the surrounding walls, are the significant issues in modern accelerators. Laser-etching the inner surface of the vacuum chambers can effectively eliminate the electron multipacting effect, and depositing the non-evaporable getter (NEG) film on the vacuum chamber walls can provide distributed pumping properties. In the present study, Ti-Zr-V NEG films were prepared by magnetron sputtering technique on laser-etched oxygen-free copper (OFC) with different deposition times. The secondary electron yields (SEY), activation kinetics, and resistance of the samples were evaluated. The results show that although the SEYs of the coated laser-etched samples are higher than those of the uncoated laser-etched sample, the maximum SEY values are still below the threshold of the operation requirements. The Ti-Zr-V film deposited on laser-etched surface exhibits obvious nucleation phenomenon with columnar microstructure and can be activated at 180^∘C. Moreover, the coated laser-etched samples present lower resistance compared with the uncoated laser-etched sample. The combination of the laser-etching technique and the NEG thin film is aim to provide a practical treatment for the vacuum chambers in modern accelerators.
Liver tissue-derived ECM loaded nanocellulose-alginate-TCP composite beads for accelerated bone regeneration
Authors: Rahaman Md Sohanur , Park Seong-su , Kang Hoe-Jin , Sultana Tamanna , Gwon Jae-Gyoung , Lee Byong-Taek 
Published: August 2022

Abstract
Guided bone regeneration with osteoinductive scaffolds is a competitive edge of tissue engineering due to faster and more consistent healing. In the present study, we developed such composite beads with nanocellulose reinforced alginate hydrogel that carried β-tricalcium phosphate (β-TCP) nano-powder and liver-derived extracellular matrix (ECM) from porcine. Interestingly, it was observed that the beads’ group containing ECM-β-TCP-alginate-nanocellulose (ETAC) was more cytocompatible than the others comprised of β-TCP-alginate-nanocellulose (TAC) and alginate-nanocellulose (AC). Cell attachment on ETAC beads was dramatically increased with time. In parallel with in vitro results, ETAC beads produced uniform cortical and cancellous bone in the femur defect model of rabbits within 2 months. Although the group TAC also produced noticeable bone in the defect site, the healing quality was improved and regeneration was faster after adding ECM. This conclusion was not only confirmed by micro-anatomical analysis but also demonstrated with x-ray microtomography. In addition, the characteristic moldable and injectable properties made ETAC a promising scaffold for clinical applications.
Evaluation of the Capacity of Greater Use in Burned Soils and Its Proposal in Conservation
Authors: Revolo A C , Jorge E , Camargo S 
Published: August 2022

Abstract
This article presents and proposes the study of soil conservation according to the results of the capacity of greater use in burned soils from the town of Incho, in the vicinity of the province of Huancayo. In addition, measurements of physical and chemical parameters were made that followed the guidelines of Decree D.S.N° 0062/75/AG and updated by D.S.N° 017-2009-AG, which establishes the regulation of classification of lands by their capacity of greater use which allowed us the corresponding determination of a Class A2 medium level soil, which is called Land Suitable for Cultivation in Clean, so it is a type of soil suitable for agriculture. In this way it is concluded to opt for moderate management practices such as technified irrigation since the research allows an adequate study for the conservation of a burned soil.