bluuebunny/crossref_metadata_2025_split huggingface dataset:
A multiple feature-maps interaction pyramid network for defect detection of steel surface
Authors: Zhao Xinyue , Zhao Jindong , He Zaixing 
Published: January 2023

Abstract
Diverse categories, variety of shapes and uncertainty of contrast lead to challenges in accurately detecting the fine details of defects in steel surface images. Deep learning methods have provided accurate, real-time detection algorithms in the field of defect detection of steel surface in recent year. Most deep learning-based networks fuse information from each intermediate layer simply and directly, while the intrinsic relationship of feature maps with different resolutions is lacking. Therefore, a novel approach to exploit the attention mechanism, multiple feature-maps interaction pyramid network (MFIPNet), is proposed. MFIPNet is designed to consider both structural regularization and structural information in an integrated fashion by using the attention mechanism as a selector for multiple feature-maps. In MFIPNet, multiple feature-maps are integrated together with different contributions, which assists the network to better adapt to the complexity of the defects. The proposed method is evaluated on the public datasets both qualitatively and quantitatively. The results demonstrate that our method outperforms state-of-the-art approaches by more than 3.92% in mPA and 7.58% in mIoU.
An anti-noise fault diagnosis approach for rolling bearings based on multiscale CNN-LSTM and a deep residual learning model
Authors: Chen Hongming , Meng Wei , Li Yongjian , Xiong Qing 
Published: January 2023

Abstract
Bearing fault vibration signals collected in real engineering cases often contain environmental noise which can easily mask the fault type characteristics of vibration signals, making it difficult to determine the corresponding fault type when traditional deep learning methods are used for fault diagnosis. To solve the above problem, a neural network model named multiscale CNN-LSTM (convolutional neural network-long short-term memory) and a deep residual learning model was designed, which combines a multiscale wide CNN-LSTM module and a deep residual module for rolling bearing fault diagnosis. In this model, a wide convolution kernel CNN-LSTM structure with different convolution scales is used to extract a variety of different types of frequency and sequential features from vibration signals. It is worth noting that the wide convolution kernel CNN-LSTM structure not only has stronger feature extraction performance compared with the common convolution layer but can also reduce the interference of high-frequency noise. Moreover, the deep residual module with a wide convolution kernel CNN-LSTM structure is used to further improve the feature expression ability of the proposed model. The above algorithm enables the proposed model to better extract the fault features hidden in the noise signal. When compared with some state-of-the-art methods, the experimental results showed that this model has better anti-noise performance and better generalization ability for rolling bearing fault diagnosis.
Combustion diagnostics of metal particles: a review
Authors: Peng Fan , Liu Hecong , Cai Weiwei 
Published: January 2023

Abstract
Metal fuel is one of the attractive alternative fuels for its high energy density and zero carbon emission. In the past, they were often used as additives in fireworks and propellants. More attentions have been paid to metal fuels as the environmental issue and energy dilemma become increasingly severe. Ongoing efforts have been devoted to both modelling and experimental studies of metal fuel combustion. This review mainly focuses on the experimental progress in the combustion of micron-scale metal fuels during the past three decades. The experimental setups and the combustion diagnostics techniques used for single particle combustion and metal dust flames have significant distinctions, so they have been summarized separately. Those setups to produce single particle flames or metal dust flames are discussed in terms of their structure, scope of application, advantages and disadvantages. The diagnostics techniques are classified according to the physical parameters that are commonly adopted to characterize the metal particle combustion including burn time, temperature, particle size, dust concentration and burning velocity. Both online and offline measurement techniques are investigated in detail focusing on the measurement principle, system configuration and uncertainty analysis. Finally, the review is concluded with some unresolved problems in the field of metal particle combustion diagnostics, and provides insights into promising future research directions.
Creating pair plasmas with observable collective effects
Authors: Qu Kenan , Meuren Sebastian , Fisch Nathaniel J 
Published: January 2023

Abstract
Although existing technology cannot yet directly produce fields at the Schwinger level, experimental facilities can already explore strong-field quantum electrodynamics (QED) phenomena by taking advantage of the Lorentz boost of energetic electron beams. Recent studies show that QED cascades can create electron–positron pairs at sufficiently high density to exhibit collective plasma effects. Signatures of collective pair plasma effects can appear in exquisite detail through plasma-induced frequency upshifts and chirps in the laser spectrum. Maximizing the magnitude of the QED plasma signature demands high pair density and low pair energy, which suits the configuration of colliding an over

10

18

J

m

−
3

energy-density electron beam with a 1022–

10

23

W
c

m

−
2

intensity laser pulse. The collision creates pairs that have a large plasma frequency, made even larger as they slow down or reverse direction due to both the radiation reaction and laser pressure. This paper explains at a tutorial level the key properties of the QED cascades and laser frequency upshift, and at the same time finds the minimum parameters that can be used to produce observable QED plasma.
Simulation of ion cyclotron resonance heating by using particle-in-cell method in MPS-LD linear plasma device
Authors: Sun Changjiang , Sang Chaofeng , Wang Hongyu , Zhang Yanjie , Wang Yue , Bian Yu , Wu Jintao , Wang Dezhen 
Published: January 2023

Abstract
The auxiliary heating of electrons and ions in linear plasma devices (LPDs) is necessary to achieve the boundary plasma relevant environment of tokamaks, to investigate the boundary physics and plasma—material interactions. In this work, the simulation of ion cyclotron resonance heating (ICRH) in the LPD multiple plasma simulation linear device (MPS-LD) is carried out by using a 3D particle-in-cell method, and the wave—ion interaction mechanism based on a ‘beach-heating’ technique in the ion heating region is investigated. A left-handed, circularly polarized wave along the magnetic field lines is used to represent the electromagnetic wave in the model, after the analysis of the cold plasma dispersion relation. The mechanism of ion heating by collisionless damping absorption is demonstrated and explained by using the plasma current as the plasma response. The dependencies of the heating efficiency on the plasma density, magnetic field strength and magnetic field configuration are studied. The correlation between plasma density and magnetic field strength, which satisfies the heating efficiency, is found and it is in perfect agreement with the theoretical derivation. Finally, by using the designed parameters of MPS-LD provided by SOLPS-ITER, the prediction of ICRH is performed. The simulation result shows that the ion temperature can be heated higher than 40 eV and it satisfies the requirement for scrape-off layer/divertor simulation experimentally in MPS-LD.
Plasma heating and particle acceleration in collisionless shocks through astrophysical observations
Authors: Miceli M 
Published: January 2023

Abstract
Supernova remnants (SNRs), the products of stellar explosions, are powerful astrophysical laboratories, which allow us to study the physics of collisionless shocks, thanks to their bright electromagnetic emission. Blast wave shocks generated by supernovae (SNe) provide us with an observational window to study extreme conditions, characterized by high Mach (and Alfvénic Mach) numbers, together with powerful nonthermal processes. In collisionless shocks, temperature equilibration between different species may not be reached at the shock front. In this framework, different particle species may be heated at different temperatures (depending on their mass) in the post-shock medium of SNRs. SNRs are also characterized by broadband nonthermal emission stemming from the shock front as a result of nonthermal populations of leptons and hadrons. These particles, known as cosmic rays, are accelerated up to ultrarelativistic energies via diffusive shock acceleration. If SNRs lose a significant fraction of their ram energy to accelerate cosmic rays, the shock dynamics should be altered with respect to the adiabatic case. This shock modification should result in an increase in the total shock compression ratio with respect to the Rankine–Hugoniot value of 4. Here, I show that the combination of x-ray high resolution spectroscopy (to measure ion temperatures) and moderate resolution spectroscopy (for a detailed diagnostic of the post-shock density) can be exploited to study both the heating mechanism and the particle acceleration in collisionless shocks. I report on new results on the temperatures measured for different ion species in the remnant of the SN observed in 1987 in the Large Magellanic Cloud (SN 1987A). I also discuss evidence of shock modification recently obtained in the remnant of SN 1006 a. D., where the shock compression ratio increases significantly as the angle between the shock velocity and the ambient magnetic field is reduced.
On the minimum transport required to passively suppress runaway electrons in SPARC disruptions
Authors: Tinguely R A , Pusztai I , Izzo V A , Särkimäki K , Fülöp T , Garnier D T , Granetz R S , Hoppe M , Paz-Soldan C , Sundström A , Sweeney R 
Published: January 2023

Abstract
In Izzo et al (2022 Nucl. Fusion
62 096029), state-of-the-art modeling of thermal and current quench (CQ) magnetohydrodynamics (MHD) coupled with a self-consistent evolution of runaway electron (RE) generation and transport showed that a non-axisymmetric (n = 1) in-vessel coil could passively prevent RE beam formation during disruptions in SPARC, a compact high-field tokamak projected to achieve a fusion gain Q > 2 in DT plasmas. However, such suppression requires finite transport of REs within magnetic islands and re-healed flux surfaces; conservatively assuming zero transport in these regions leads to an upper bound of RE current

∼

1

M
A

compared to

∼

8.7

M
A

of pre-disruption plasma current. Further investigation finds that core-localized electrons, within

r

/

a
<
0.3

and with kinetic energies

∼

0.2

–

15

M
e
V

, contribute most to the RE plateau formation. Yet only a relatively small amount of transport, i.e. a diffusion coefficient

∼

18

m

2

s

−
1

, is needed in the core to fully mitigate these REs. Properly accounting for (a) the CQ electric field’s effect on RE transport in islands and (b) the contribution of significant RE currents to disruption MHD may help achieve this.
Calculation of penetration depth under various numerical models for the reflection-type two-coil mutual inductance technique
Authors: Liu Ningning , Yao Gang , Qu Yueqiao , Wang Xutao , Wang Jinyue , Zhang Wenxuan , Duan Mingchao , Guan Dan-Dan , Wang Shiyong , Zheng Hao , Li Yao-Yi , Liu Canhua , Jia Jin-Feng 
Published: January 2023

Abstract
The two-coil mutual inductance (TCMI) technique is a useful experimental method to derive the magnetic penetration depth λ in a superconducting film after proper numerical calculations, in which various film geometries including infinite, circular and quadrangle films have been utilized. Based on previously reported reflection-type TCMI experimental data taken from NbN and K-adsorbed FeSe thin films, we investigate the validity of various numerical models with different geometries by comparing their calculation results. The calculated values of λ for various film geometries become identical only when the film size is at least three times larger than the coil size. For a rectangular film with a width comparable to the coil size, the numerical models of circular and square film geometries with proper sizes can also be adopted to obtain a similar λ value as that calculated with a rectangular film geometry. Although the true value of λ can be approximately achieved only after a complicated calibration, its calculated temperature dependence is insensitive to the choice of numerical models. With these results, a proper film geometry for the numerical calculation of λ may be selected to effectively improve the calculation efficiency.
Dynamics and length distributions of microtubules with a multistep catastrophe mechanism
Authors: Schwietert Felix , Heydenreich Lina , Kierfeld Jan 
Published: January 2023

Abstract
Regarding the experimental observation that microtubule (MT) catastrophe can be described as a multistep process, we extend the Dogterom–Leibler model for dynamic instability in order to discuss the effect that such a multistep catastrophe mechanism has on the distribution of MT lengths in the two regimes of bounded and unbounded growth. We show that in the former case, the steady state length distribution is non-exponential and has a lighter tail if multiple steps are required to undergo a catastrophe. If rescue events are possible, we detect a maximum in the distribution, i.e. the MT has a most probable length greater than zero. In the regime of unbounded growth, the length distribution converges to a Gaussian distribution whose variance decreases with the number of catastrophe steps. We extend our work by applying the multistep catastrophe model to MTs that grow against an opposing force and to MTs that are confined between two rigid walls. We determine critical forces below which the MT is in the bounded regime, and show that the multistep characteristics of the length distribution are largely lost if the growth of an MT in the unbounded regime is restricted by a rigid wall. All results are verified by stochastic simulations.
Magnetization enhanced the multiple magnetic domain-dominated resonance modes in stripe domain films
Authors: Yu Jing , Chen Xiaowen , Wang Fangzhou , Adam Roman , Bürgler Daniel E , Pan Lining , Zhang Jing , Cui Yuanzhi , Li Qiuyue , Liu Meihong , Xu Jie , Li Shandong , Parlak Umut , Wang Jianbo , Liu Qingfang , Cinchetti Mirko , Schneider Claus M , Cao Derang 
Published: January 2023

Abstract
FeCoHf films with different Hf contents and thicknesses were deposited by composition-gradient sputtering. The results showed that the stripe domain (SD) structure emerges when the film thickness exceeds a critical thickness (220–330 nm), but the increase in introduced Hf leads to a decrease in magnetization, and in turn, the stripe phase weakens and eventually disappears. Dynamic measurements revealed magnetic domain-dependent resonant absorption spectra with up to seven resonance peaks, which have rarely been observed in magnetic film with an established SD structure. The number of resonant peaks can be controlled by the saturation magnetization of the film. Micromagnetic simulations indicate that multiple magnetic domain resonance modes can be attributed to the enhanced magnetization, which induces an increase in the magnetic domain wall volume. These results emphasize the pivotal role of magnetic domain dynamics in the framework of spintronic and microwave devices.
Methods of poly(3,4)-ethylenedioxithiophene (PEDOT) electrodeposition on metal electrodes for neural stimulation and recording
Authors: Niederhoffer Thomas , Vanhoestenberghe Anne , Lancashire Henry T 
Published: January 2023

Abstract
Conductive polymers are of great interest in the field of neural electrodes because of their potential to improve the interfacial properties of electrodes. In particular, the conductive polymer poly (3,4)-ethylenedioxithiophene (PEDOT) has been widely studied for neural applications. Objective: This review compares methods for electrodeposition of PEDOT on metal neural electrodes, and analyses the effects of deposition methods on morphology and electrochemical performance. Approach: Electrochemical performances were analysed against several deposition method choices, including deposition charge density and co-ion, and correlations were explained to morphological and structural arguments as well as characterisation methods choices. Main results: Coating thickness and charge storage capacity are positively correlated with PEDOT electrodeposition charge density. We also show that PEDOT coated electrode impedance at 1 kHz, the only consistently reported impedance quantity, is strongly dependent upon electrode radius across a wide range of studies, because PEDOT coatings reduces the reactance of the complex impedance, conferring a more resistive behaviour to electrodes (at 1 kHz) dominated by the solution resistance and electrode geometry. This review also summarises how PEDOT co-ion choice affects coating structure and morphology and shows that co-ions notably influence the charge injection limit but have a limited influence on charge storage capacity and impedance. Finally we discuss the possible influence of characterisation methods to assess the robustness of comparisons between published results using different methods of characterisation. Significance: This review aims to serve as a common basis for researchers working with PEDOT by showing the effects of deposition methods on electrochemical performance, and aims to set a standard for accurate and uniform reporting of methods.
Making a case for endovascular approaches for neural recording and stimulation
Authors: Thielen Brianna , Xu Huijing , Fujii Tatsuhiro , Rangwala Shivani D , Jiang Wenxuan , Lin Michelle , Kammen Alexandra , Liu Charles , Selvan Pradeep , Song Dong , Mack William J , Meng Ellis 
Published: January 2023

Abstract
There are many electrode types for recording and stimulating neural tissue, most of which necessitate direct contact with the target tissue. These electrodes range from large, scalp electrodes which are used to non-invasively record averaged, low frequency electrical signals from large areas/volumes of the brain, to penetrating microelectrodes which are implanted directly into neural tissue and interface with one or a few neurons. With the exception of scalp electrodes (which provide very low-resolution recordings), each of these electrodes requires a highly invasive, open brain surgical procedure for implantation, which is accompanied by significant risk to the patient. To mitigate this risk, a minimally invasive endovascular approach can be used. Several types of endovascular electrodes have been developed to be delivered into the blood vessels in the brain via a standard catheterization procedure. In this review, the existing body of research on the development and application of endovascular electrodes is presented. The capabilities of each of these endovascular electrodes is compared to commonly used direct-contact electrodes to demonstrate the relative efficacy of the devices. Potential clinical applications of endovascular recording and stimulation and the advantages of endovascular versus direct-contact approaches are presented.
Modulation of spinal circuits following phase-dependent electrical stimulation of afferent pathways
Authors: Pascual-Valdunciel Alejandro , Kurukuti Nish Mohith , Montero-Pardo Cristina , Barroso Filipe Oliveira , Pons José Luis 
Published: January 2023

Abstract

Objective. Peripheral electrical stimulation (PES) of afferent pathways is a tool commonly used to induce neural adaptations in some neural disorders such as pathological tremor or stroke. However, the neuromodulatory effects of stimulation interventions synchronized with physiological activity (closed-loop strategies) have been scarcely researched in the upper-limb. Here, the short-term spinal effects of a 20-minute stimulation protocol where afferent pathways were stimulated with a closed-loop strategy named selective and adaptive timely stimulation (SATS) were explored in 11 healthy subjects. Approach. SATS was applied to the radial nerve in-phase (INP) or out-of-phase (OOP) with respect to the muscle activity of the extensor carpi radialis (ECR). The neural adaptations at the spinal cord level were assessed for the flexor carpi radialis (FCR) by measuring disynaptic Group I inhibition, Ia presynaptic inhibition, Ib facilitation from the H-reflex and estimation of the neural drive before, immediately after, and 30 minutes after the intervention. Main results. SATS strategy delivered electrical stimulation synchronized with the real-time muscle activity measured, with an average delay of 17 ± 8 ms. SATS-INP induced increased disynaptic Group I inhibition (77 ± 23% of baseline conditioned FCR H-reflex), while SATS-OOP elicited the opposite effect (125 ± 46% of baseline conditioned FCR H-reflex). Some of the subjects maintained the changes after 30 minutes. No other significant changes were found for the rest of measurements. Significance. These results suggest that the short-term modulatory effects of phase-dependent PES occur at specific targeted spinal pathways for the wrist muscles in healthy individuals. Importantly, timely recruitment of afferent pathways synchronized with specific muscle activity is a fundamental principle that shall be considered when tailoring PES protocols to modulate specific neural circuits. (NCT number 04501133).
Dynamics of lattice random walk within regions composed of different media and interfaces
Authors: Das Debraj , Giuggioli Luca 
Published: January 2023

Abstract
We study the lattice random walk dynamics in a heterogeneous space of two media separated by an interface and having different diffusivity and bias. Depending on the position of the interface, there exist two exclusive ways to model the dynamics: (a) Type A dynamics whereby the interface is placed between two lattice points, and (b) Type B dynamics whereby the interface is placed on a lattice point. For both types, we obtain exact results for the one-dimensional generating function of the Green’s function or propagator for the composite system in unbounded domain as well as domains confined with reflecting, absorbing, and mixed boundaries. For the case with reflecting confinement in the absence of bias, the steady-state probability shows a step-like behavior for the Type A dynamics, while it is uniform for the Type B dynamics. We also derive explicit expressions for the first-passage probability and the mean first-passage time, and compare the hitting time dependence to a single target. Finally, considering the continuous-space continuous-time limit of the propagator, we obtain the boundary conditions at the interface. At the interface, while the flux is the same, the probability density is discontinuous for Type A and is continuous for Type B. For the latter we derive a generalized version of the so-called leather boundary condition in the appropriate limit.