bluuebunny/crossref_metadata_2025_split huggingface dataset:
Non-contact voltage measurement of residential cables based on internal parameter conversion and centering probe assistance
Authors: Huang Rujin , Zhang Wenbin , Suo Chunguang 
Published: October 2023

Abstract
Existing non-contact voltage measurement technology cannot be applied to residential cables containing neutral wire and earth wire in addition to live wire. A non-contact voltage measurement method of residential cables is introduced in this article. First, an equivalent circuit model of the residential cable measurement based on capacitive coupling is established. In order to solve the problem of uncertain coupling capacitance, which leading to the inability to accurately obtain the voltage amplitude, a calibration method based on internal parameter conversion and centering probe assistance is proposed. This method calibrates the cable voltage through different transfer relationships and sensor outputs, and no known reference excitation is required during calibration. Subsequently, the impact of internal parameters on measurement accuracy are analyzed and selection principles are provided. Through finite element simulation, the influence of metal spring for centering on voltage measurement is analyzed, and the measurement error of non-ideal cables (with eccentricity or ovality) is quantified. A prototype probe and internal parameter conversion circuit have been developed, and parasitic capacitance compensation have been completed. The measurement accuracy of 50 Hz voltage in a certain range (100–300 V) was tested in the laboratory, the maximum relative error of amplitude is −0.89%, and the relative error of phase is 0.68%. Four specifications of residential cables testing were completed, with a maximum relative error of −1.35%. Long- term testing was conducted on the actual field (output voltage of the distribution box), the test results showed that the output was linear, and the relative error were kept around 0.65% after primary calibration.
Multi-feature fusion-based TCA-WKNN cross-sensor fault diagnosis method for dynamic weighing
Authors: Liang Wei , Chen Zhixiong , Zhong Jianhua , Liao Huazhong , Zhong Shuncong 
Published: October 2023

Abstract
The outstanding performance of current machine-learning fault diagnosis methods is mainly attributed to the availability of a large amount of labeled training data. However, in practical dynamic weighing systems, the high costs and variability of operating conditions limit the availability of reliable training data, hampering engineering fault diagnoses in dynamic weighing systems. To address this issue, this study proposes a novel cross-sensor fault diagnosis method based on multi-feature fusion using a transfer component analysis (TCA)-weighted k-nearest-neighbor (WKNN) network. Using this method, time- and frequency-domain features are extracted from a laboratory-simulated set of fault data with small batches of real operational data. Source and target domain features are fused, and TCA is applied to map the source and target domain samples to a latent space using kernel functions to reduce the distribution differences among the samples. Finally, the WKNN is employed as a metric learner to enhance small-sample data matching and classification to improve diagnostic accuracy. The results show that with three samples per support set, the proposed method achieves a diagnostic accuracy of 93.33%. Compared with other approaches, the proposed method exhibits stronger generalizability for diagnostic knowledge transference from sensor to dynamic weighing failure data, effectively improving precision in on-site small-sample environments and reducing sample imbalances.
Synchronous disturbance suppression of active magnetic bearing rotor systems using variable period adaptive control algorithm
Authors: Bian Xiaoyu , Shi Zhengang , Sun Zhe , Zhao Jingjing , Liu Xingnan , Yan Xunshi , Mo Ni 
Published: October 2023

Abstract
This paper aims to investigate the issue of suppressing synchronous vibration in active magnetic bearing (AMB) systems. The rotor mass imbalance is a challenging problem for the AMB system, which will cause synchronous vibration and severely affect the system stability and safety. However, existing algorithms based on the iterative feed-forward control strategy find it difficult to simultaneously ensure system’s stability and competent convergence performance. They struggle to maintain tolerable robustness within the system operating bandwidth. This paper proposes a variable period adaptive control algorithm to address these challenges. The overall control scheme can achieve current and displacement elimination separately by switching control structures and is applicable to variable speed conditions. This algorithm can adaptively adjust the iteration period based on rotational speed to ensure both splendid convergence performance and system dynamic performance. Furthermore, this work employs the Lyapunov method to analyze the algorithm’s asymptotic stability and provides a lookup table for algorithm parameters. This could significantly enhance the robustness and stability of the algorithm within the system operating bandwidth. Finally, this methodology has proven to be effective and superior in simulations and experiments.
Simulation of intragranular plastic deformation localization in FCC polycrystals by Discrete Dislocation Dynamics
Authors: Joste Baptiste , Devincre Benoit , Gatti Riccardo , Proudhon Henry 
Published: October 2023

Abstract
Strain localization mechanisms taking place in polycrystal grains are investigated using Discrete Dislocation Dynamics (DDDs) simulations. First, elastic Finite Element Method simulations are used to calculate the intragranular stress distribution linked to strain incompatibilities between grains. Many configurations are tested to evaluate the stress heterogeneity and constitute a database for DDD simulations. From the analysis of these microstructures, a criterion is proposed to identify the grains where the emergence of the localization of the deformation is the most likely. Then, DDD simulations are used to explore the plastic strain localization phenomenon at the grain scale. Those simulations show that stress concentrations close to a polycrystal quadruple node can play a fundamental role in plastic strain localization. This work paves the way for future investigations to be made thanks to DDD simulations regarding slip band initiation and strain relaxation phenomena.
Hemocompatibility of dextran-graft-polyacrylamide/zinc oxide nanosystems: hemolysis or eryptosis?
Authors: Onishchenko Anatolii I , Prokopiuk Volodymyr Yu , Chumachenko Vasyl A , Virych Pavlo A , Tryfonyuk Liliya Y , Kutsevol Nataliya V , Tkachenko Anton S 
Published: October 2023

Abstract

Aim. In this study, blood compatibility of ZnO nanoparticles-polymer nanocomplex (D-PAA/ZnONPs(

SO

4

2
−

)) synthesized in situ into dextran-graft-polyacrylamide (D-PAA) using zinc sulphate as a precursor was tested using hemolysis, osmotic fragility and eryptosis assays. Materials and methods. Dose-dependent ability to induce eryptosis was assessed following 24 h incubation at concentrations of 0–800 mg l−1 analyzing hallmarks of eryptosis (cell shrinkage and phosphatidylserine externalization), as well as reactive oxygen species generation. Hemolysis was detected spectrophotometrically based on hemoglobin release following exposure to the D-PAA/ZnONPs(

SO

4

2
−

) nanocomplex. Osmotic fragility test (OFT) involved detection of hemolysis of red blood cells exposed to 0.2% saline solution following incubation with the D-PAA/ZnONPs(

SO

4

2
−

) nanocomplex. Additional incubation of the nanocomplex in the presence or absence of either ascorbic acid or EGTA was used to reveal the implication of oxidative stress- or Ca2+-mediated mechanisms in D-PAA/ZnONPs(

SO

4

2
−

) nanocomplex-induced erythrotoxicity. Results. Hemocompatibility assessment of the D-PAA/ZnONPs(

SO

4

2
−

) nanocomplex revealed that it induced hemolysis and reduced resistance of erythrocytes to osmotic stress at concentrations of above 400 and 200 mg l−1, respectively. Oxidative stress- or Ca2+-mediated mechanisms were not involved in D-PAA/ZnONPs(

SO

4

2
−

) nanocomplex-induced hemolysis. Strikingly, the D-PAA/ZnONPs(

SO

4

2
−

) nanocomplex did not promote cell membrane scrambling, cell shrinkage and oxidative stress in red blood cells following the direct exposure for 24 h. Thus, the D-PAA/ZnONPs(

SO

4

2
−

) nanocomplex did not induce eryptosis in vitro. Eryptosis is generally considered to occur earlier than hemolysis in response to stress in order to prevent hemolytic cell death. Counterintuitively, our data suggest that hemolysis can be triggered by nanomaterials prior to eryptosis indicating that eryptosis and hemolysis assays should be used in combination for testing blood compatibility of nanomaterials. Conclusions. The D-PAA/ZnONPs(

SO

4

2
−

) nanocomplex has a good hemocompatibility profile at low concentrations. Hemocompatibility testing in nanotoxicology should include both eryptosis and hemolysis assays.
Building hybrid structure of monolayered S-depleted Mo–S nanocrystals and 3D graphene towards promising aqueous supercapacitor applications
Authors: Zhong Longsheng , Pi Yuancheng , Gao Yu , He Yao , Wang Lijing , Liu Dezheng , Lin Liangxu 
Published: October 2023

Abstract
Two-dimensional (2D) 1H molybdenum disulfide (1H-MoS2) is hard to be directly used in energy storage devices due to its inert basal plane and unfavorable 2D stacking. This work demonstrated how the basal plane of 1H MoS2 nanocrystals (NCs) can be activated to offer doubled specific capacitance by simple surface S depletions. Building on the expanded graphene with three-dimensional (3D) structures, as-prepared NCs were chemically grafted on the graphene surface to deliver stable energy storage and high capacitance, which overcame above challenges of 1H-MoS2. Aside from the mostly focused metastable phase, this work confirmed that the stable 1H Mo–S material is also promising in energy storage applications.
Multi-channel EEG-based sleep staging using brain functional connectivity and domain adaptation
Authors: Yuan Wenhao , Xiang Wentao , Si Kaiyue , Yang Chunfeng , Zhao Lina , Li Jianqing , Liu Chengyu 
Published: October 2023

Abstract

Objective. Sleep stage recognition has essential clinical value for evaluating human physical/mental condition and diagnosing sleep-related diseases. To conduct a five-class (wake, N1, N2, N3 and rapid eye movement) sleep staging task, twenty subjects with recorded six-channel electroencephalography (EEG) signals from the ISRUC-SLEEP dataset is used. Approach. Unlike the exist methods ignoring the channel coupling relationship and non-stationarity characteristics, we developed a brain functional connectivity method to provide a new insight for multi-channel analysis. Furthermore, we investigated three frequency-domain features: two functional connectivity estimations, i.e. synchronization likelihood (SL) and wavelet-based correlation (WC) among four frequency bands, and energy ratio (ER) related to six frequency bands, respectively. Then, the Gaussian support vector machine (SVM) method was used to predict the five sleep stages. The performance of the applied features is evaluated in both subject dependence experiment by ten-fold cross validation and subject independence experiment by leave-one-subject-out cross-validation, respectively. Main results. In subject dependence experiment, the results showed that the fused feature (fusion of SL, WC and ER features) contributes significant gain the performance of SVM classifier, where the mean of classification accuracy can achieve 83.97% ± 1.04%. However, in subject-independence experiment, the individual differences EEG patterns across subjects leads to inferior accuracy. Five typical domain adaptation (DA) methods were applied to reduce the discrepancy of feature distributions by selecting the optimal subspace dimension. Results showed that four DA methods can significantly improve the mean accuracy by 1.89%–5.22% compared to the baseline accuracy 57.44% in leave-one-subject-out cross-validation. Significance. Compared with traditional time-frequency and nonlinear features, brain functional connectivity features can capture the correlation between different brain regions. For the individual EEG response differences, domain adaptation methods can transform features to improve the performance of sleep staging algorithms.
Species dependence of the impurity injection induced poloidal flow and magnetic island rotation in a tokamak
Authors: Zeng Shiyong , Zhu Ping , Ren Haijun 
Published: October 2023

Abstract
Recent experiments have demonstrated the species dependence of the impurity poloidal drift direction along with the magnetic island rotation in the poloidal plane. Our resistive MHD simulations have reproduced such a dependence of the impurity poloidal flow, which is found mainly determined by a local plasmoid formation due to the impurity injection. The synchronized magnetic island rotation is dominantly driven by the electromagnetic torque produced by the impurity radiation primarily through the modification to the axisymmetric components of current density.
Effects of frequency-modulated pump on stimulated Brillouin scattering in inhomogeneous plasmas
Authors: Chen Y , Zheng C Y , Liu Z J , Cao L H , Xiao C Z 
Published: October 2023

Abstract
The effects of a frequency-modulated pump on stimulated Brillouin scattering (SBS) in a flowing plasma are investigated by theoretical analysis, three-wave simulations, and kinetic simulations. The resonance point of SBS oscillates in a certain spatial region with time when frequency modulations are applied. There exists a certain frequency modulation that causes the velocity of resonant points to be similar to the group velocity of the seed laser, which increases the SBS reflectivity. The SBS can also be suppressed by frequency modulation with larger bandwidth. In the kinetic simulations, the effects of the frequency-modulated pump on the reflectivity agree with our theoretical predictions. Multi-location autoresonance is also observed in the narrow-bandwidth frequency modulation case, which can also increase the SBS reflectivity. Our work provides a method for selecting the laser bandwidth to inhibit SBS in inhomogeneous plasmas.
Validation of the Townsend criterion for ignition of volume gas discharges
Authors: Almeida R M S , Almeida P G C , Naidis G V , Benilov M S 
Published: October 2023

Abstract
An eigenvalue problem governing ignition of volume discharges is formulated in the drift approximation with account of photoionization and the presence of multiple ion species with various reactions. The Townsend ignition (self-sustainment) criterion is deduced by partial integration of this eigenvalue problem neglecting the photoionization, and, in the case of electronegative gases, also the detachment. The Townsend criterion is applied to three examples of discharge ignition in high-pressure air, two of them referring to negative coronas in concentric-cylinder and point-to-plane configurations and one to a configuration with weakly nonuniform electric field. The comparison of the results obtained from different forms of the Townsend criterion with those given by the accurate numerical solution of the full eigenvalue problem shows that the neglect of the diffusion of the charged particles produces an error in the ignition voltage of the order of

1
%

or less. The effect of photoionization for these configurations is also weak as expected. The lower and upper estimates of the effect of negative ions over the ignition voltage are obtained from different forms of the Townsend criterion. A form of the Townsend criterion, which employs an effective attachment coefficient in air and takes into account, in an approximate way, also the detachment, gives a virtually exact value of the inception voltage in all the cases considered. Practical recommendations are given on when one can use the Townsend self-sustainment criterion, and when one should resort to a numerical solution of the general eigenvalue problem governing discharge inception.
Emergent quantum probability from full quantum dynamics and the role of energy conservation
Authors: Wang Chen , Lu Jincheng , Jiang Jian-Hua 
Published: October 2023

Abstract
We propose and study a toy model for the quantum measurements that yield the Born’s rule of quantum probability. In this model, the electrons interact with local photon modes and the photon modes are dissipatively coupled with local photon reservoirs. We treat the interactions of the electrons and photons with full quantum mechanical description, while the dissipative dynamics of the photon modes are treated via the Lindblad master equation. By assigning double quantum dots setup for the electrons coupling with local photons and photonic reservoirs, we show that the Born’s rule of quantum probability can emerge directly from microscopic quantum dynamics. We further discuss how the microscopic quantities such as the electron–photon coupling, detuning, and photon dissipation rate affect the quantum dynamics. Surprisingly, in the infinite long time measurement limit, the energy conservation already dictates the emergence of the Born’s rule of quantum probability. For finite-time measurement, the local photon dissipation rate determines the characteristic time-scale for the completion of the measurement, while other microscopic quantities affect the measurement dynamics. Therefore, in genuine measurements, the measured probability is determined by both the local devices and the quantum mechanical wavefunction.
Exploring static bifurcations in a controlled dynamical system with cubic and quadratic nonlinearities: 2D and 3D visualization
Authors: Saeed Nasser A , Awrejcewicz Jan , Omara Osama M , Hou Lei , Sharaf Mohamed 
Published: October 2023

Abstract
This work delves into the investigation of static bifurcation control and vibration reduction of a two-degree-of-freedom dynamical system. The system under study simulates the lateral oscillations of rotating machinery and encompasses both cubic and quadratic nonlinearities. The nonlinear system is augmented with a magnetic bearing actuator, incorporating a novel control strategy that combines two first-order filters. The system model is derived based on classical mechanics and electromagnetic theories. Then, an analytical solution is extracted for the obtained dynamical model. The solutions obtained have been utilized to visualize the static bifurcations of the system in both two and three-dimensional spaces, using various system parameters as bifurcation variables. The mono-stable and multiple-stable solution regions have been distinguished in two-parameter space. Subsequently, an investigation has been conducted to evaluate the effectiveness of the introduced control technique in eliminating the catastrophic bifurcation of the rotor and suppressing undesirable vibrations. Furthermore, as a precautionary measure, the impact of the controller’s sudden malfunction on the stability of the system was explored. The main findings revealed that the implemented control approach effectively eliminates dangerous bifurcation characteristics and induces the nonlinear rotor to exhibit a response like a linear system with minimal vibration amplitudes. Furthermore, it was observed that the abrupt failure of the controller does not affect the stability of the system; however, the nonlinearities regain dominance in the system’s response
Resonance fluorescence in Λ, V and Ξ - type three-level configurations
Authors: Sen Surajit , Dey Tushar Kanti , Deb Bimalendu 
Published: October 2023

Abstract
We theoretically study the resonance fluorescence spectra of the lambda (Λ), vee (V) and cascade (Ξ) type three-level configurations. It is shown that each system with two detuning frequencies can be modelled using the SU(3) symmetry group to derive a generalized optical Bloch equation. For each configuration, this equation is solved to calculate the two-time correlation function by invoking the quantum regression theorem. The incoherent part of the power spectra gives the characteristic multi-peak fluorescence profiles which are different for different configurations. We also discuss how the dressed-state structure of such system can explain the origin of quintuplet profile of the fluorescent spectrum.
High-performance energy storage hybrid supercapacitor device based on NiCoS@CNT@graphene composite electrode material
Authors: Imran Muhammad , Waris Muhammad Hamza , Khan Rizwan , Afzal Amir Muhammad , Iqbal Muhammad Waqas , Mumtaz Muhammad Azhar , Ghfar Ayman A , Ali Asghar , Mumtaz Sohail , Hussain Zahid 
Published: October 2023

Abstract
The novel asymmetric supercapacitor, sometimes referred to as a ‘supercapattery,’ merges the favourable attributes of batteries, such as high energy density, with the exceptional cycle life and specific power of supercapacitors (SCs). In this study, carbon nanotubes and graphene were physically mixed with nickel cobalt sulfide (NiCoS), which was produced using a hydrothermal method. Using both a three-electrode and a two-electrode arrangement, the material’s electrical properties were carefully examined. The NiCoS@CNT@graphene composite exhibited a striking specific capacity (Qs) of 1814 C g−1 at 2 Ag−1, within the three-electrode system. The NiCoS@CNT@graphene//AC composite hybrid device revealed outstanding Qs of 190 Cg−1 at 2 Ag−1. Additionally, this material demonstrated an exceptional power density (Pd) of 2000 W kg−1 and a noteworthy Ed of 40.5 Wh Kg−1. The nanocomposite electrode showed remarkable capacity retention (CR ∼ 88%) after 5000 cycles, which was one of its most notable features, highlighting its long-term stability and potential for extensive usage. A viable strategy includes mixing transition metal sulfides with conductive carbon-based nanomaterials to produce high-performance energy storage devices with surpassed capabilities.