bluuebunny/crossref_metadata_2025_split huggingface dataset:
Low and intermediate energy cross section analysis of p-p and p-d elastic scattering using modified phase amplitude method for electromagnetic distorted nuclear interaction
Authors: Swain B , Laha U , Behera A K 
Published: September 2023

Abstract
The traditional phase function method is regarded as a resourceful tool for computing scattering phase shifts for quantum mechanical potential scattering involving local interactions. For the local plus a nonlocal potential the conventional phase function method does not hold good. In such a situation one has to modify it. The modified variable phase method is adapted here to treat the Manning-Rosen (MR) plus Graz nonlocal separable potential for constructing an exact expression for the phase function with rigorous inclusion of the electromagnetic effect. The merit of our analytical result is demonstrated by computing elastic scattering phase parameters and differential scattering cross sections for proton-proton (p − p) and proton-deuteron (p − d) systems which are in sensible agreement with previous works.
Predefined-time smooth stability analysis of nonlinear chaotic systems with applications in the PMSM system and Hindmarsh-Rose neuron model
Authors: Ma Ru-Ru , Huang Zhixiang , Ma Zhicai 
Published: September 2023

Abstract
This article investigates the predefined-time stabilization of nonlinear chaotic systems with applications in the permanent magnet synchronous motor (PMSM) system and Hindmarsh-Rose neuron model. Distinguished from the traditional predefined-time control methods, this investigation develops the smooth control protocols, in which the discontinuous absolute value and signum functions are not used anymore, so that the unfavorable chattering phenomenon can be avoided effectively. By the Lyapunov stability analysis, the sufficient condition is derived to achieve the predefined-time stable for nonlinear chaotic systems, in which the upper-bound time estimation (TE) of arriving at the stable state is explicit in contrast to the traditional finite-/fixed-time convergence. Specifically, the analytical results are successfully applied into stabilizing the PMSM system and Hindmarsh-Rose neuron model within the predefined-time. Finally, the numerical simulations for stabilizing the chaotic PMSM system and Hindmarsh-Rose neuron model verify the effectiveness and advantages of theoretical analysis.
Path integral treatment of a Klein Gordon particle with generalized inverse Quadratic Yukawa potential
Authors: Aid Salah Eddine , Boukabcha Hocine , Hemis Mohamed 
Published: September 2023

Abstract
We solved the Klein–Gordon equation for a generalized inverse quadratic Yukawa (GIQY) potential via path integrals approach. We applied approximations to deal with the terms 1/r
2 and 1/r. A path integral representation of Green’s function relating to a particle moving in a mixture of equal vector and scalar potentials was established. To integrate Green’s function, a space-time transformation was successfully used, and the present problem was reduced to a previously known modified Pöschl-Teller potential problem. The integrated Green’s function contains important information about the considered system, from which we obtained energy eigenvalues and the corresponding normalized eigenfunctions for various values of n and ℓquantum numbers. Numerical results, Schrödinger solutions, and special cases such as the modified screened Coulomb plus inversely quadratic Yukawa potential, Kratzer potential, Yukawa potential, and Coulomb potential were also considered. These results are largely consistent with previous studies.
Development of substrate free polymer composite for Pb2+ ion sensor
Authors: Mane Savita S , Joshi Girish M 
Published: September 2023

Abstract
In the present study we focused on utilizing differential pulse voltammetry (DPV) for detecting Pb2+ ions by electrochemical technique. Polyvinyl butyral (PVB) and poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS) based composite system (PVB/PEDOT:PSS/MoS2) (PPM) modified by Molebdenum disulphide (MoS2). Structural characterization of PPM composite was done by x-ray diffraction (XRD) and Fourier transform infrared (FTIR) spectroscopy, revealing phase transitions and chemical functionalities within the ternary system. E2g and A1g Raman active modes related C
α
-C
β
interactions were observed by Raman spectroscopy. Scanning electron microscopy (SEM) forseen uniform filler distribution in homogeneous polymer matrix. Atomic force microscopy (AFM) reveals decreased surface roughness. Sessile drop contact angle measurements were confirmed hydrophilic properties, feasible for sensing applications. Cyclic voltammetry was performed in a 1 M acetate buffer solution, aligned with electrochemical impedance spectroscopy (EIS) results. The sensing capacity of PPM films was examined using differential pulse voltammetry (DPV). Sensor demonstrated effective detection of Pb2+ ions, with a low detection limit (LOD) of 27.77 μM and a linear detection range of 25–60 μM. Developed sensor exhibited excellent repeatability (with relative standard deviation (RSD) 0.6%) and strong selectivity. Sensor electrode performed appriciable trace of Pb2+ ions in drinking water at high concentration.
Thin film flow, heat transfer and viscous dissipation effects on vertical stretching sheet for different shapes of (Au-Np) dispersed in water
Authors: Hayat Umer , Shahzad Azeem 
Published: September 2023

Abstract
In this article, we present numerical investigation and analysis of thin film flow and heat transfer effects for different shapes of gold nanoparticles on a vertical stretching sheet. There are several uses for thin liquid films, including antireflection coating for lenses. Coating systems must have a smooth, polished surface, low friction, clarity, and strength to satisfy the demands of all of these applications. We consider thin film flow of nanoparticles on a vertical stretching sheet due to their numerous applications. Additionally, we employed water as the base fluid and considered different shapes of gold nanoparticles (blades, cylinders, and platelets). After formulating the problem, we convert nonlinear partial differential equations (PDEs) into ordinary differential equations (ODEs) using a transformation. The resulting nonlinear differential equations have been computed by the BVP4c method. It is examined and graphically assessed how the Nusselt number, temperature, skin friction, and fluid velocity are related. This research suggests that the blade shape has the maximum heat transfer rate and the lowest skin friction coefficient value.
Confluent effects of initial dislocation microstructures on yield behavior in single-crystal tungsten at high temperature
Authors: Xiang Yang , Yu Yuying , Cui Yinan , Hu Jianbo 
Published: September 2023

Abstract
Though it is well known that initial dislocation microstructures play an important role in the deformation behavior of materials, how dislocation microstructures affect the macroscopic properties is still subjected to intensive research due to their complexity. In this work, we use discrete dislocation dynamics (DDD) to understand the effect of initial dislocation microstructures on the dynamic yield behavior of single-crystal tungsten above the critical temperature (800 K). DDD results suggest that the dislocation source length

l

0

and the dislocation density

ρ

0

are responsible for the initial yield stress and the flow stress of tungsten under dynamic loading, respectively. As

ρ

0

and

l

0

increase, the plastic yield mechanism transforms from dislocation-source activation into dislocation-dislocation interactions, resulting in the initial yield stress decreasing and the flow stress increasing. The confluent effects of

ρ

0

and

l

0

on the steady-state flow stress

σ

flow

can be unified by a linear relationship between

σ

flow

and

ρ

0

log

l

0

2
b

.

Our results could be a valuable piece that connects dynamic yield behavior to the initial dislocation microstructures.
Neutrino spin oscillations in a magnetized Polish doughnut
Authors: Dvornikov Maxim 
Published: September 2023

Abstract
We study the gravitational scattering of ultrarelativistic neutrinos off a rotating
supermassive black hole (BH) surrounded by a thick magnetized accretion disk. Neutrinos interact
electroweakly with background matter and with the magnetic field in the disk since neutrinos are
supposed to possess nonzero magnetic moments. The interaction with external fields results in
neutrino spin oscillations. We find that the toroidal magnetic field, inherent in the magnetized
Polish doughnut, does not cause a significant spin-flip for any reasonable strengths of the
toroidal component. The reduction of the observed neutrino flux, owing to neutrino spin
oscillations, is predicted. A poloidal component of the magnetic field gives the main contribution
to the modification of the observed flux. The neutrino interaction with matter, rotating with
relativistic velocities, also changes the flux of neutrinos. We briefly discuss the idea of the
neutrino tomography of magnetic field distributions in accretion disks near BHs.
Periodic Variable Star Classification with Deep Learning: Handling Data Imbalance in an Ensemble Augmentation Way
Authors: Kang Zihan , Zhang Yanxia , Zhang Jingyi , Li Changhua , Kong Minzhi , Zhao Yongheng , Wu Xue-Bing 
Published: September 2023

Abstract
Time-domain astronomy is progressing rapidly with the ongoing and upcoming large-scale photometric sky surveys led by the Vera C. Rubin Observatory project (LSST). Billions of variable sources call for better automatic classification algorithms for light curves. Among them, periodic variable stars are frequently studied. Different categories of periodic variable stars have a high degree of class imbalance and pose a challenge to algorithms including deep learning methods. We design two kinds of architectures of neural networks for the classification of periodic variable stars in the Catalina Survey’s Data Release 2: a multi-input recurrent neural network (RNN) and a compound network combing the RNN and the convolutional neural network (CNN). To deal with class imbalance, we apply Gaussian Process to generate synthetic light curves with artificial uncertainties for data augmentation. For better performance, we organize the augmentation and training process in a “bagging-like” ensemble learning scheme. The experimental results show that the better approach is the compound network combing RNN and CNN, which reaches the best result of 86.2% on the overall balanced accuracy and 0.75 on the macro F1 score. We develop the ensemble augmentation method to solve the data imbalance when classifying variable stars and prove the effectiveness of combining different representations of light curves in a single model. The proposed methods would help build better classification algorithms of periodic time series data for future sky surveys (e.g., LSST).
A wearable EEG system for closed-loop neuromodulation of sleep-related oscillations
Authors: Bressler Scott , Neely Ryan , Yost Ryan M , Wang David , Read Heather L 
Published: September 2023

Abstract

Objective. Healthy sleep plays a critical role in general well-being. Enhancement of slow-wave sleep by targeting acoustic stimuli to particular phases of delta (0.5–2 Hz) waves has shown promise as a non-invasive approach to improve sleep quality. Closed-loop stimulation during other sleep phases targeting oscillations at higher frequencies such as theta (4–7 Hz) or alpha (8–12 Hz) could be another approach to realize additional health benefits. However, systems to track and deliver stimulation relative to the instantaneous phase of electroencephalogram (EEG) signals at these higher frequencies have yet to be demonstrated outside of controlled laboratory settings. Approach. Here we examine the feasibility of using an endpoint-corrected version of the Hilbert transform (ecHT) algorithm implemented on a headband wearable device to measure alpha phase and deliver phase-locked auditory stimulation during the transition from wakefulness to sleep, during which alpha power is greatest. First, the ecHT algorithm is implemented in silico to evaluate the performance characteristics of this algorithm across a range of sleep-related oscillatory frequencies. Secondly, a pilot sleep study tests feasibility to use the wearable device by users in the home setting for measurement of EEG activity during sleep and delivery of real-time phase-locked stimulation. Main results. The ecHT is capable of computing the instantaneous phase of oscillating signals with high precision, allowing auditory stimulation to be delivered at the intended phases of neural oscillations with low phase error. The wearable system was capable of measuring sleep-related neural activity with sufficient fidelity for sleep stage scoring during the at-home study, and phase-tracking performance matched simulated results. Users were able to successfully operate the system independently using the companion smartphone app to collect data and administer stimulation, and presentation of auditory stimuli during sleep initiation did not negatively impact sleep onset. Significance. This study demonstrates the feasibility of closed-loop real-time tracking and neuromodulation of a range of sleep-related oscillations using a wearable EEG device. Preliminary results suggest that this approach could be used to deliver non-invasive neuromodulation across all phases of sleep.
The influence of chemical etching on the surface quality of phase components
Authors: Yuan Zhigang , Zhong Bo , Liu Hongjun , Yan Hao , Li Ang , Tian Liang , Wen Shenglin , Li Jie 
Published: September 2023

Abstract
Large-aperture fused silica phase optical components such as continuous phase plate (CPP) are widely used in large-scale laser devices to achieve beam homogenization and improve beam quality. However, under the action of high-energy lasers, their lower damage threshold seriously restricts their service life and increases cost of using. Compared with other fused silica components, chemical processing technology with hydrofluoric acid solution (HF) is lacking in the processing of phase components because the residual root mean square value (RMS) of phase elements is very high, and it can not guarantee this. Therefore, it is necessary to carry out research on the influence of chemical treatment on phase components. In this paper, we improved the chemical treatment process to achieve the change of residual RMS value not more than 3 nm, and improved the ability of resisting laser damage that the damage threshold of 29J/cm2 was obtained under the test conditions 351nm@3ns. Finally, we successfully mastered the chemical control process of phase components and applied it to the CPPs as other fused quartz materials engineering production process.
Research on hybrid power load matching control method of new energy pumping machine
Authors: Tian Ye , Gao Xiaohui , Tian Danling , Liu Yongguang 
Published: September 2023

Abstract
In order to improve the energy saving effect of new energy pumping machine, the power matching energy saving control of wind energy, electric energy and pumping machine load should be carried out when the actual wind speed is lower than the rated wind speed of the system. In this paper, according to the wind power hybrid transmission system, we study the load matching energy saving control strategy and method that takes into account the simultaneous change of wind speed and load, and propose the hybrid power load matching adaptive energy saving control strategy based on the cascade controller. In the strategy, the motor torque control method is used to eliminate the pressure deviation and realize the system pressure tracking load matching adaptive control, while keeping the motor output torque stable.
Research on vibration frequency of double connected gears in aero-engine field
Authors: Zhang Guangli , Liu Ming , Yang Xiongfei , Liu Xianshuang , Tian Maoquan 
Published: September 2023

Abstract
The finite element simulation method is used to calculate and analyze the vibration frequency of aero-engine double connected gears with different common aero-engine gear materials, different numbers of connecting pins, and different numbers of weight-reducing holes. The analysis results are shown that the first several vibration modes of the double connected gears are first caused by the big gear, the vibration frequency of the double connected gears is almost not affected by the number of connecting pins, the vibration frequency of the double connected gears is little affected by different common aero-engine gear materials, while the vibration frequency of double connected gears is reduced with the increase of the number of weight reduction holes. The design and vibration avoidance reference of double connected gears are provided in the paper.
Simulation and experimental study of active noise barrier based on multiple-channel and decentralized system design
Authors: Hou Zilong , Wu Rui , Hu Wencheng , Yao Kun 
Published: September 2023

Abstract
Active noise barrier (ANB) was helpful to enhance the noise reduction performance of noise barrier especially in low-frequency range. But it was quite difficult to realize an ideal effect in the far-field as most of the exiting work of ANB took the realization of soft boundary at the edge of noise barriers as the target. An active control strategy based on the decentralized system design was proposed in this paper. The virtual sensor technology was used in order to obtain the far-field noise signal with the help of near-field sensor, while multiple-channel design of both centralized system and decentralized system was studied. An experimental ANB system was then built in semi-anechoic chamber. The performance of the above control strategies was calculated with the actual measured parameters, and the advantages and disadvantages of different systems were compared and studied. The effectiveness of the new strategy was verified through the noise reduction tests of active noise control. The ANB established in this paper which was based on decentralized system design, could be extended to large scale usage directly in the future.
Exposure levels of radiofrequency electromagnetic fields from mobile base stations in Mpumalanga province, South Africa
Authors: Rathebe Phoka C. 
Published: September 2023

Abstract
This study assessed the radiofrequency electromagnetic fields (RF-EMF) exposure levels proximal to primary school structures in the Mpumalanga province of South Africa. A calibrated Acoustimeter was used to measure the RF EMF levels at defined distance points of 50 and 100m away from the three mobile base stations, that provide a 4G network coverage. All the measurements were obtained from three mobile stations, each from one district municipality, using 30 minutes intervals for repeated measurements. The measured peak exposure level at 50m was 887 μW/m2 and 905 μW/m2 at 100m. No statistical difference was found when comparing the measurement data obtained at 50 and 100m from the three district municipalities. However, comparison of measurements obtained at 50 and 100m for all base stations were statistically significant, p-value< .002 and p< .003 respectively. The measured RF EMF exposure levels at both distance points were below the reference levels found under International Commission for Non-ionizing Radiation Protection (ICNIRP) RF guidelines. It is therefore essential for mobile base station companies to consider proximity of residential structures when installing new base stations in the future, and regularly maintain the components of mobile base towers, especially in the current state of power load shedding in South Africa.
Development of the remote automatic calibration system of the verification equipment for AC electrical energy meters
Authors: Wang Xinyan , Zhao Dongsheng , Yan Hongrui , Sun Xiaojie , Liu Jianbo , Wang Weizhao 
Published: September 2023

Abstract
The calibration of the verification equipment for AC electrical energy meters (hereinafter referred to as the DUT) was being performed manually till now. A new system for remote automatic calibration of the DUT, which applies cloud server, 4G cellular mobile interconnection technology and virtual serial communication technology, was firstly proposed in this paper. The technical problems of remote automatic calibration of large equipment, and safety problems in equipment transportation, wiring and installation were solved by developing automatic test and management software, remote communication management platform, designing and developing remote control device and special connection terminal base.
A static voltage stability index based on P-V curve for the medium-voltage distribution network with distributed PV
Authors: Li Sheng , Gao Yuan , Jiang Chengcheng 
Published: September 2023

Abstract
With the rapid increase of distributed photovoltaic (DPV) generations, the static voltage stability (SVS) of distribution network (DN) is faced with more and more challenges. Considering the characteristics of DPV and the network structure, an appropriate static voltage stability index (SVSI) in the medium-voltage DN with DPV is studied in this paper. In terms of the limitation of the traditional SVSI that only reflects the load change, based on P-V curve, a novel voltage change rate - network load change rate index (M-index) is proposed. The M-index considers the impacts of double changes in DPV power output and load level. The model of classic 33-node network with a DPV source is established to investigate the proposed M-index. By changing the DPV penetration percentage and the DPV access point, and comparing with the existing Load-index, the validity and superiority of M-index is verified. Comparing with the traditional SVSI, the M-index is more propitious to evaluate the SVS for the medium-voltage DN with DPV.
A current prediction correction control algorithm for permanent magnet synchronous linear motor
Authors: Zheng Zaiping , Wu Hongxing , Fu Jie , Huang Yuping 
Published: September 2023

Abstract
When a permanent magnet synchronous linear motor (PMSLM) is used in a direct drive system, the current loop of drive control system is required to have a high response speed in order to achieve a high dynamic response of the system. With the traditional PI control strategy, the bandwidth of the system’s current loop is limited. In this paper, a predictive correction control algorithm is used in the current loop of permanent magnet synchronous linear motor drive control system. The algorithm is to predict the instruction voltage vector required by the next switching cycle so that the target current of the control system can reach the instruction reference current value within the next switching cycle. It is used to improve the response speed of the system current loop and realize the precise control of the single PWM cycle of the system current loop.
A C-band folded planar low-pass filter utilizing U-shaped probe for high power TR module
Authors: Wang Xi , Yu Huaiqiang , Deng Like , Cheng Bin , Fang Zhiping , Lang Xiaoyuan 
Published: September 2023

Abstract
In this paper, a C-band folded low-pass filter is realized in the planar circuit by utilizing a U-shaped probe. The proposed filter consists of four microstrip patches and a U-shaped probe. The configuration, equivalent circuit and design method of the proposed filter are demonstrated. A prototype of the low-pass filter operating in C-band has been designed, fabricated and measured. The maximum insertion loss of the fabricated filter is about 0.8 dB from 5 GHz to 6 GHz, while the maximum return loss is -11 dB. The out of band rejection is over 30 dB at 12 GHz. The measured results show reasonable correlation with the ideal circuit and the simulated results. The proposed low-pass filter can be used for the high power transmit/receive (TR) module in active electronically scanned array (AESA).