bluuebunny/crossref_metadata_2025_split huggingface dataset:
New algorithm for deriving rational form solutions in the generalized Date-Jimbo-Kashiwara-Miwa model
Authors: Darweesh Amer , Alquran Marwan 
Published: September 2024

Abstract
This paper introduces, for the first time, the application of rational form solutions involving sine-cosine and sinh-cosh functions to address a nonlinear model emerging in the realm of plasma physics. The model under consideration is derived from the KP hierarchy and is denoted as the Date-Jimbo-Kashiwara-Miwa equation. In this study, the proposed model is extended to incorporate arbitrary coefficients, encompassing both nonlinearity and dispersion factors. The solutions obtained are presented through 2D and 3D plots, revealing three distinct types of solitary wave propagation: moving singular-periodic, kink, and singular solutions. These solutions, as reported in this work, have the potential for broader applications, including optics and quantum physics.
Quantifying noncovariance of quantum channels with respect to groups
Authors: Zhang Zijian , Zhang Linshuai , Li Nan , Luo Shunlong 
Published: September 2024

Abstract
A quantum channel is covariant with respect to a group if it commutes with the action of the group. In general, a quantum channel may not be covariant with respect to a given group. The degree of noncovariance can vary between different channels, and it is desirable to have a quantitative characterization for the degree of channel noncovariance. In this work, we propose a measure based on the Hilbert-Schmidt norm to quantify noncovariance of quantum channels with respect to a group and demonstrate that it satisfies several desirable properties. Compared with the existing measures of channel noncovariance, our measure applies to not only compact Lie groups but also finite groups, and it is easy to evaluate. Using this measure and its modified version together with two existing measures, we evaluate and analyze channel noncovariance through an example, finding that these measures of channel noncovariance are closely related but differ from each other. They capture different perspectives of noncovariance of quantum channels. As applications, we provide a relation between channel noncovariance and approximate quantum error correction using our measures of channel noncovariance.
Translocation of Gaussian polymers across a nanometric cylindrical channel
Authors: Vélez-Pérez José A , Olivares-Quiroz L 
Published: September 2024

Abstract
We present an analytical model to study translocation of Gaussian polymers across a cylindrical channel of nanometric size with a chemical potential inside the channel. Results show that polymer conformational entropy generates an entropic M-like free energy barrier for translocation. The presence of a small negative chemical potential reduces the entropic free energy barrier rendering the translocation time to follow a power law τ = AN

ν
as function of polymer size N. Power law exponents ν found here in varying the channel radius R, run from 1.525 to 1.999 for unforced translocation, and from 1.594 to 2.006 for translocation with small chemical potentials when R = 1 nm. Presence of large negative chemical potentials generate a free energy well rendering the translocation time to follow an exponential growth τ = Ae

α
N
. We show existence of a negative chemical potential μ

c
that minimizes the translocation time due to an interplay of conformational entropy and channel-polymer interactions. The translocation time as function of channel length L grows exponentially as τ = Ae

cL
, it runs from milliseconds up to decades in the range of lengths found in biological channels. Interestingly, small negative chemical potentials approaching μ

c
overcome the effect of large channel lengths reducing the translocation time below seconds. Translocation speeds <v(N) > show a maximum of micrometers per second then it decays with polymer size and channel length, the characteristic decay <v(N) > ∼ N
−1 has been observed in previous experiments of voltage-driven DNA translocation.
Coupled modes analysis of stimulated Brillouin scattering in the regimes of nonlinear ion acoustic waves
Authors: Guo Zhi-Jian , Zhuo Hong-Bin , Li Ming-Qiang , Zheng Yu-Jia , Zhou Cang-Tao 
Published: September 2024

Abstract
The nonlinear saturation of stimulated Brillouin scattering (SBS) in long scale length plasmas is studied in detail through coupled mode equations. Our model incorporates harmonic and subharmonic generation of ion acoustic waves (IAWs), as well as nonlinear Landau damping and the nonlinear frequency shift of IAWs induced by particle trapping. Numerical simulations are carried out across various IAW wavenumbers (k

a

λ

De
) and electron-ion temperature ratios (Z

i

T

e
/T

i
) within different SBS instability regimes. The results demonstrate that our model can distinguish the importance of each effect contributing to the nonlinear behavior in SBS under different plasma conditions. Furthermore, we examine the scaling of SBS reflectivity with laser intensity under conditions relevant to inertial confinement fusion.
Coexistence of hidden attractors in memristive chaotic system
Authors: Zhao Boyu , Xu Shaochuan , Wang Guanpeng 
Published: September 2024

Abstract
In this paper, a charge controlled memristor model is introduced into the Sprott-A system equation to construct a new memristor chaotic system and the calculation of this new system satisfies the characteristics of no equilibrium points. The periodic function is added to the new constructed memristor chaotic system, and the coexistence of attractors in memristor chaotic system without equilibrium points is obtained by adjusting the control parameters. Through different analytical methods to explore the characteristics of the new system. The dynamic behaviors of the system before and after the periodic transformation are compared and analyzed. In the end, DSP simulation is used to verify the feasibility of the theoretical model. The coexistence of attractors in memristor chaotic systems can improve the flexibility and security of chaotic encryption systems. Further research on this kind of phenomena can meet the needs of higher encryption.
RS-SLAM: real time semantic slam with driverless car using LiDAR-camera-IMU sensing
Authors: Zhang Chuanwei , Zhao Ruiqi , Qin Peilin , Yang Jiajia 
Published: September 2024

Abstract
Accurate and robust Simultaneous Localization and Mapping (SLAM) technology is a critical component of driverless cars, and semantic information plays a vital role in their analysis and understanding of the scene. In the actual scene, the moving object will produce the shadow phenomenon in the mapping process. The positioning accuracy and mapping effect will be affected. Therefore, we propose a semantic SLAM framework combining LiDAR, IMU, and camera, which includes a semantic fusion front-end odometry module and a closed-loop back-end optimization module based on semantic information. An improved image semantic segmentation algorithm based on Deeplabv3+ is designed to enhance the performance of the image semantic segmentation model by replacing the backbone network and introducing an attention mechanism to ensure the accuracy of point cloud segmentation. Dynamic objects are detected and eliminated by calculating the similarity score of semantic labels. A loop closure detection method based on semantic information is proposed to detect key semantic features and use threshold range detection and point cloud re-matching to establish the correct loop closure detection, and finally reduce the global cumulative error and improve the global trajectory accuracy using graph optimization to ultimately obtain the global motion trajectory and realize the construction of 3D semantic maps. We evaluated it on the KITTI dataset and collected a dataset for evaluation by ourselves, which includes four different sequences. The results show that the proposed framework has good positioning accuracy and mapping effect in large-scale urban road environments.
Superposition principle in relativistic gravity
Authors: Friedman Y 
Published: September 2024

Abstract
We present a simple model for relativistic gravity. The model represents a gravitational field by a metric on a Minkowski space background. We introduce a new Lorentz-covariant metric for a single-source gravitation field, which is determined by the retarded position and the velocity of the source. This metric passes the GR tests and properly describes the strong gravitational field. Using this metric, we define the metric of a field generated by several moving sources. The explicit true acceleration of an object moving in this field is derived from the ‘first-order’ (in the masses of the sources) acceleration, which is linear in the sources. The field splits into near and far fields. We compare the far gravitational field of a binary star with electromagnetic quadruple radiation and present an algorithm for computing accelerations in such a field. These results may lead to a new understanding of gravitational waves and the structure and dynamics of galaxies.
Electric polarization evolution equation for antiferromagnetic multiferroics with the polarization proportional to the scalar product of the spins
Authors: Andreev Pavel A , Trukhanova Mariya Iv 
Published: September 2024

Abstract
The spin current model of electric polarization in multiferroics is justified via the quantum hydrodynamic method and the mean-field part of the spin-orbit interaction. The spin current model is applied to derive the electric polarization proportional to the scalar product of the spins of the nearby ions, which appears to be caused by the Dzylaoshinskii-Moriya interaction. The symmetric tensor spin structure of the polarization is discussed as well. We start our derivations for the ferromagnetic multiferroic materials and present further generalizations for the antiferromagnetic multiferroic materials. We rederive the operator of the electric dipole moment, which provides the macroscopic polarization obtained via the spin current model. Finally, we use the quantum average of the found electric dipole moment operator to derive the polarization evolution equation for the antiferromagnetic multiferroic materials. The possibility of spiral spin structures is analyzed.
Advancement of germanium-based thermoelectric materials: a bibliometric and network analysis
Authors: Gupta Shivani , Sharma Manish , Batra Yogita 
Published: September 2024

Abstract
Germanium (Ge)-based thermoelectric materials have proven to be a reliable and sustainable solution for efficient energy harvesting across a wide range of temperatures for an extended period. Numerous investigations have been published addressing the future scope of Ge as a thermoelectric material. This article offers a comprehensive bibliometric analysis of the literature related to Germanium-based thermoelectric energy harvesting (Ge-TEH) materials available on Scopus to identify how this material contributes to thermoelectric energy generation. Methodologies such as citation analysis, co-authorship, and co-occurrence analysis are employed to analyze refined data of ‘1867’ documents using 'Visualization of similarity' (VOS) viewer and Biblioshiny. The analysis shows that Ge-TEH has grown significantly worldwide, especially in the last decade. The social and intellectual networks were generated, and the most influencing countries, sources, and institutions were identified. China and the United States (USA) were found to have the highest number of publications, citations, and collaborations. The keywords analysis reveals that ‘lattice thermal conductivity,’ ‘Germanium,’ ‘Seebeck coefficient,’ ‘spark plasma sintering’, and ‘density functional theory’ are the most occurring words, indicating that the dataset features keywords related to thermoelectric materials and their properties. It also suggests a strong emphasis on fabrication methods for optimizing thermoelectric properties. The mutual relevance and categorical patterns of frequently occurring keywords were studied using a factorial analysis graph. This detailed analysis provides critical findings into the evolution and future scope of the research in Ge-TEH.
Electric and magnetic waveguides in graphene: quantum and classical
Authors: Barranco David , Kuru Şengül , Negro Javier 
Published: September 2024

Abstract
Electric and magnetic waveguides are considered in planar Dirac materials like graphene as well as their classical version for relativistic particles of zero mass and electric charge. We have assumed the displacement symmetry of the system along the y-direction, whose associated constant is k. We have also examined other symmetries relevant to each type of waveguide, magnetic or electric. Waveguides with square profile have been worked out in detail to show up explicitly some of the most interesting features. For example, the classical region of confined motion of the electric case, for a fixed intensity, is bounded between k and −k, while in the magnetic case that region is symmetric in the energy and presents a gap (−k, k). Besides, in the quantum systems we have shown that there are edge states in the magnetic systems but they are missing in electric waveguides. We have also analysed scattering states and resonances which match with bound states for both waveguides. The classical scattering properties are also quite different in both types of waveguides. While the electric system has essentially one type of refraction of the incident electron, the magnetic system is much richer due to the Lorentz force.
Analysis of broadband linear polarization-converting meta-materials and their sensing and detection functions
Authors: Li Yongwei , Guo Jinqin , Shi Jianwei , Zhu Shan , Chen Linyue , Qu Zeng 
Published: September 2024

Abstract
In this paper, we present a broadband perfect-reflective linear polarization-converting metamaterial, which achieves perfect-reflective linear polarization conversion over a broadband frequency range of 28.15 GHz–60.80 GHz, and the narrow-band perfect-polarization-converting peaks appearing at the high frequency of 67.121 GHz can be used for microwave solution concentration detection. The design consists of a surface metal resonator structure, a Roggers 5880 dielectric layer and a copper metal backing. The surface metal resonator is a combination of a circular open ring, a square open ring, and a centrally located cross-metal cross ring nested in a modified, highly anisotropic structure. The perfect polarization transition peak at the high frequency band can be used for the solution detection function, which can detect the concentration of salt solution, glucose solution, and alcohol solution. When the refractive index of the solution sample to be tested changes gradually from 1.0 to 1.4, the polarization conversion peak shows obvious frequency shift, and the peak polarization conversion rate is always kept above 99%. The polarization principle was analyzed using surface electromagnetic field distribution and related theories, and the sample structure was processed and tested. The designed super-surface polarization conversion structure has potential applications in the field of microwave detection and microwave communication.
Fingerprints of a non-inflationary universe from massive fields
Authors: Quintin Jerome , Chen Xingang , Ebadi Reza 
Published: September 2024

AbstractWe construct explicit models of classical primordial standard clocks in an alternative to inflation, namely the slowly contracting ekpyrotic scenario. We study the phenomenology of massive spectator fields added to a state-of-the-art ekpyrotic model, with coupling functions that allow for these heavy fields to be classically excited while the background is slowly contracting. We perform numerical computations of the corrections to the scalar primordial power spectrum and compare with analytical estimates. Our full numerical results reveal so-called clock signals, sharp feature signals, as well as signals that link the two together. The models are found to predict oscillatory features that are resolutely different from what is calculated in inflation, and thus, such features represent unique fingerprints of a slowly contracting universe. This confirms the capability of primordial standard clocks to model-independently discriminate among very early universe scenarios.
A new parametrization of Hubble function and Hubble tension
Authors: He Tong-Yu , Yin Jia-Jun , Wang Zhen-Yu , Han Zhan-Wen , Yang Rong-Jia 
Published: September 2024

Abstract
We present a new parameterized Hubble function and employ observational data from Hubble,
Pantheon, and Baryon Acoustic Oscillations to constrain model parameters. The proposed method is
thoroughly validated against these datasets, demonstrating a robust fit to the observational
data. The obtained best-fit values are H
0 = 67.5+1.3
-1.6 km s-1Mpc-1, Ωm0 = 0.2764 ± 0.0094, and α = 0.33 ± 0.22, consistent
with the Planck 2018 results, highlighting the existence of Hubble tension.
Sensorimotor brain–computer interface performance depends on signal-to-noise ratio but not connectivity of the mu rhythm in a multiverse analysis of longitudinal data
Authors: Kapralov Nikolai , Jamshidi Idaji Mina , Stephani Tilman , Studenova Alina , Vidaurre Carmen , Ros Tomas , Villringer Arno , Nikulin Vadim 
Published: September 2024

Abstract

Objective. Serving as a channel for communication with locked-in patients or control of prostheses, sensorimotor brain–computer interfaces (BCIs) decode imaginary movements from the recorded activity of the user’s brain. However, many individuals remain unable to control the BCI, and the underlying mechanisms are unclear. The user’s BCI performance was previously shown to correlate with the resting-state signal-to-noise ratio (SNR) of the mu rhythm and the phase synchronization (PS) of the mu rhythm between sensorimotor areas. Yet, these predictors of performance were primarily evaluated in a single BCI session, while the longitudinal aspect remains rather uninvestigated. In addition, different analysis pipelines were used to estimate PS in source space, potentially hindering the reproducibility of the results. Approach. To systematically address these issues, we performed an extensive validation of the relationship between pre-stimulus SNR, PS, and session-wise BCI performance using a publicly available dataset of 62 human participants performing up to 11 sessions of BCI training. We performed the analysis in sensor space using the surface Laplacian and in source space by combining 24 processing pipelines in a multiverse analysis. This way, we could investigate how robust the observed effects were to the selection of the pipeline. Main results. Our results show that SNR had both between- and within-subject effects on BCI performance for the majority of the pipelines. In contrast, the effect of PS on BCI performance was less robust to the selection of the pipeline and became non-significant after controlling for SNR. Significance. Taken together, our results demonstrate that changes in neuronal connectivity within the sensorimotor system are not critical for learning to control a BCI, and interventions that increase the SNR of the mu rhythm might lead to improvements in the user’s BCI performance.
Exploring discharged dry cell as an electrocatalyst for oxygen evolution reaction
Authors: Karthik Esakki , Mondal Sanjit , Sahoo Lipipushpa 
Published: September 2024

Abstract
Transition metal compounds with a high affinity for oxygen in dry cell configurations, such as MnO2, Mn3O4, and ZnxMn3O4−x, exhibit exceptional electrocatalytic properties in the oxygen evolution reaction (OER). However, the disposal of these dry cell materials, unlike that of rechargeable batteries, poses environmental hazards. In this study, we focused on optimizing these manganese oxides for energy-related applications, specifically OER. To achieve this goal, we investigated the electrocatalytic behaviour of both used and fresh dry cells in OER. Our results show that the used dry cell material achieved a current density of 10 mA·cm−2 at an overpotential of 525 mV, whereas the fresh dry cell required an overpotential 100 mV higher to reach the same current density. We further characterized the nature of these fresh and used materials using various techniques, including x-ray diffraction (XRD), scanning electron microscopy (SEM), thermogravimetric analysis (TGA), Raman spectroscopy, Fourier-transform infrared spectroscopy (FT-IR), and contact angle measurements. The enhanced activity of the used dry cell can be attributed to the formation of highly active Mn3O4 from MnO2 and graphene oxide under discharging conditions.
Enhancing magnetocaloric performance of Ni50Mn35Sn15 Heusler alloys: comparative analysis of arc melting and laser induced melting
Authors: Yao Yin , Sun Yan , Sun Jianzhe , Bai Jianhui 
Published: September 2024

Abstract
This study investigated the synthesis of Ni50Mn35Sn15 (NMS) Heusler alloys using arc melting and laser-induced melting techniques, focusing on the influence of these methods on the alloys’ structural and magnetocaloric properties. The research further examined the impact of post-synthesis treatments, including annealing and mechanical grinding, as well as the stability of these alloys under repeated magnetization cycles. The results demonstrated that laser-induced melting significantly enhanced the magnetocaloric performance of NMS alloys compared to arc melting. This method produced alloys with finer microstructures, leading to improved performance and stability in magnetocaloric applications. The study emphasized the importance of synthesis methods in developing efficient magnetocaloric materials and highlights their potential to advance sustainable cooling technologies.
The effect of graphene solution on mixed powder electrical discharge milling of Ti6Al4V
Authors: Du Yuexiang , Gao Shanping , Zhou Chenyu , Li Qilin , Kong Linglei , Lei Weining 
Published: September 2024

Abstract
Ti6Al4V is the most widely used materials in aerospace, medical, nuclear power and other fields. However, due to its unique properties such as low thermal conductivity, titanium alloy poses challenges in machining processes. Electrical discharge milling (EDM) is a machining method that utilizes the electrical corrosion phenomenon of pulsed spark discharge between two electrodes to remove materials, which is highly suitable for the machining of Ti6Al4V. This paper investigates a mixed powder EDM approach for titanium alloy using a graphene solution medium known for its green and sustainable characteristics. Compared to conventional deionized water medium processing which without powder particles, the material removal rate can be increased by 50%, the surface hardness after processing was 2.5 times higher than that of the substrate, the electrode wear rate could be reduced by 40%, the surface roughness values were reduced by more than 20%. Besides that, the micro-cracks and micro-pores on the workpiece surface can be significantly reduced. Subsequently, single factor experiments and orthogonal experiments were conducted using material removal rate, electrode wear rate, and surface roughness as process indicators. The influence of processing parameters on process indicators was investigated based on optimal selection method and analysis of variance (ANOVA). Finally, the optimized parameters in graphene solution mixed powder EDM for Ti6Al4V were obtained. When using the process combination A3B3C1D2, the maximum MRR can be obtained.