bluuebunny/crossref_metadata_2025_split huggingface dataset:
A new chaotic jerk system with hidden heart-shaped attractor: dynamical analysis, multistability, connecting curves and its application in image encryption
Authors: Vivekanandhan Gayathri , Natiq Hayder , Ghaffari Aboozar , Bayani Atiyeh , Rajagopal Karthikeyan , Jafari Sajad 
Published: September 2023

Abstract
Application of chaos in modeling natural phenomena and encryption encourages researchers to design new chaotic systems with exciting features. Here a chaotic jerk oscillator with different properties is proposed. Previous studies mainly used non-polynomial and piecewise linear terms to design the attractors’ shape. In the paper, the heart-shaped attractor is designed using just polynomial terms. This system is studied by considering its bifurcation diagram, Lyapunov exponent, and basin of attraction. These tools show that the proposed system has chaotic and periodic attractors that coexist in some parameter intervals. The oscillator does not have an equilibrium and has a heart-shaped attractor. Moreover, the connecting curves of the oscillator are considered to explore other structural properties. Numerical results confirm the analytical solutions for the system’s connecting curves. The interesting dynamics of the oscillator are used in an encryption and compression application.
Some aspects of an exponential f(R) modified gravity
Authors: Rezaei Amir H , Azizi T , Rashidi N 
Published: September 2023

Abstract
In this paper, we consider an exponential form for f(R) modified gravity as

f
(
R
)
=

1

α

(

e

α
R

−
1
)

, where α is a parameter with the dimension of (length)2. The theory is consistent with local tests which give a bound on the value of this parameter: α ≤ 2 × 10−6. We investigate the static solution of this model corresponding to the Schwarzschild-de Sitter space. We also study the Jordan and Einstein frames of the model and obtain the scalar field potential related to the Einstein frame. In this respect, the mass of the scalar field is calculated as a function of Ricci curvature. Furthermore, by performing a dynamical system approach, we investigate the dimensionless parameters in the model and study the stability of the critical points in the phase space. Finally, we study the realization of inflation in this model and its graceful exit.
An optimal adaptive S-transform time-frequency space model for electromagnetic interference complexity evaluation
Authors: Yin Baiqiang , Deng Fangwen , Wang Ruoyu , Yuan Lifen , Li Bing , Zuo Lei 
Published: September 2023

Abstract
The issue of significant amplitude shifting with frequency in the evaluation of electromagnetic interference complexity using the S-transform can result in inaccurate extraction of energy occupancy evaluation parameters. This paper proposes a method of electromagnetic environment complexity evaluation based on the optimal adaptive S-transform (OAST) time-frequency space model. Firstly, the flexible adjustment of the window width of the S-transform window function is achieved by introducing adaptive parameters, so as to suppress the large migration of the amplitude characteristics with the signal frequency. Then, the calculation formulae for the evaluation parameters of time occupation, frequency occupation and energy occupation based on OAST are derived, and the OAST time-frequency spatial evaluation model is established; Finally, the qualitative and quantitative evaluation criteria of subjective and objective complexity based on the OAST time-frequency spatial model are analyzed and determined, overcoming the limitations of the independent grading of the traditional electromagnetic interference complexity evaluation parameters. Simulation and experimental results show that OAST can accurately extract the time-frequency energy occupation parameters and the feature parameters in the time-frequency domain are more accurate; the OAST time-frequency spatial model can evaluate the signal complexity level more accurately, and the evaluation experiments verify the correctness of the proposed method.
Tailored microwave absorption performance through interface evolution by in-situ reduced Fe nanoparticles on the surface of FeSiAl microflake
Authors: Shi Shuyan , Liu Hongjin , Cheng Hang , Zhang Longyan , Liu Xianguo 
Published: September 2023

Abstract
Poor impedance matching and low-frequency magnetic resonance are great challenge for Fe-based micron-scale materials as microwave absorber in GHz range. Here, we propose in situ interface engineer strategy for tailoring the interface through in situ reduced Fe nanoparticles and introduce planar anisotropy for flattening particles with high aspect ratio during high-energy vertical ball milling process, which can synchronously enhance impedance matching and exceed Snoke’s limit. With increasing milling time, the interface experiences the following in situ evolution: the nano oxide layer-micro particles interface, the partial interface between nano oxide layer and Fe nanoparticles, the integrity Fe nanoparticles-oxide layer interface, the nano oxide layer-microflake interface. Meanwhile, the aspect ratio is up to 74.93. The evolution of interface and high aspect ratio can effectively tailor permittivity and permeability. Due to the novel microstructure that FeSiAl flake are covered by ∼ 30 nm oxide layer containing ∼ 10 nm Fe nanoparticles, natural resonance induced by planar anisotropy, eddy current loss of metallic microflake, relaxation loss induced by interface polarization, conductive loss from electric resistivity together led to good microwave absorption performance (effective absorbing bandwidth of 3.12 GHz at 3.2 mm and minimal reflection loss of −44.47 dB at 7.44 GHz and 3.3 mm). The present finding might highlight for developing the composite absorbers with multi loss type coupling across nano-micro scales.
Wavelet methods for fractional electrical circuit equations
Authors: Tural-Polat Sadiye Nergis , Dincel Arzu Turan 
Published: September 2023

Abstract
Classical electric circuits consists of resistors, inductors and capacitors which have irreversible and lossy properties that are not taken into account in classical analysis. FDEs can be interpreted as basic memory operators and are generally used to model the lossy properties or defects. Therefore, employing fractional differential terms in electric circuit equations provides accurate modelling of those circuit elements. In this paper, the numerical solutions of fractional LC, RC and RLC circuit equations are considered to better model those imperfections. To this end, the operational matrices for Bernoulli and Chebyshev wavelets are used to obtain the numerical solutions of those fractional circuit equations. Chebyshev wavelets are orthogonal, and under some circumstances, Bernoulli wavelets can be orthogonal. The wavelet methods’ quick convergence and minimal processing load depend on the orthogonality principle. In the proposed method, those FDEs are transformed into algebraic equation systems using operational matrices employing the discrete Wavelets. The performance of those two wavelet methods are compared and contrasted for computational load, speed, and absolute error values. The paper exploits discrete Bernoulli and Chebyshev wavelets for the numerical solution of fractional LC, RC and RLC circuit equations. The fast convergence, low processing burden, and compactness of the Bernoulli and Chebyshev wavelet methods for fractional circuit equation solutions represent the novel contributions of this paper. Numerical solutions and comparisons are also presented to validate the method.
An image reconstruction algorithm for spectral exterior CT problem based on edge-preserving diffusion and edge-preserving smoothing
Authors: Qin Yanwei , Sun Tianjiao , Lu Xin , Yu Xinran , Zhao Yunsong , Zhao Xing 
Published: September 2023

Abstract
The exterior CT problem is a special x-ray CT imaging problem, which is often used for nondestructive inspections of large tubular samples. It can image a pipeline wall with a relatively small detector. However, exterior imaging is challenging owing to the incomplete data obtained. In this paper, we propose a regularization model for the exterior CT problem, in which an edge-preserving diffusion and edge-preserving smoothing regularizer is employed. In addition, the polychromatic characteristic of the emitted x-rays is also considered so that the model is closer to the actual physical process. Using the linearization strategy, a corresponding solution algorithm is derived. The proposed model and the algorithm are verified with both simulated data and real data. It is shown that the two type of artifacts, exterior problem artifacts and beam-hardening artifacts, can be effectively suppressed.
General diffraction integral for converging freeform vectorial fields
Authors: González-Acuña Rafael G , Thibault Simon 
Published: September 2023

Abstract
Herein it is presented a new vector diffraction integral capable to compute the diffraction patterns for aspheric and freeform wavefronts, with different pupil shapes, and different polarization states. The aforementioned vector diffraction integral is based on the energy conservation theorem, the far field approximation, and the angular spectrum representation of optical fields. The integral is validated through illustrative examples whose results are as expected and coincides with the related works.
Study on the methane dehydrogenation reaction catalyzed by triangular transition metal: a theoretical research
Authors: Liu Hongxia , Ling Fu , Chaozheng He 
Published: September 2023

Abstract
The relative stability, reaction potential energy surface, naturally bonded orbit (NBO) charge analysis, and kinetic properties of triangular transition metal catalysts in methane dehydrogenation reaction were studied by density functional theory calculation. The calculation results indicate that the process of triangular metal adsorption of methane is physical adsorption, and the main products of the reaction are hydrogen and carbon-based materials. This reaction is a multicomponent reaction. NBO charge analysis indicates the feasibility of the catalytic reaction of methane dehydrogenation. We also calculated the rate constant which indicates that the rate constant has a positive temperature dependence. Our calculations show that the reaction is an exothermic reaction catalyzed by triangular transition metal catalyzer.
Hydrodynamical simulations of galaxy formation with non-Gaussian initial conditions
Authors: Stahl Clément , Dubois Yohan , Famaey Benoit , Hahn Oliver , Ibata Rodrigo , Kraljic Katarina , Montandon Thomas 
Published: September 2023

Abstract
Collisionless simulations of structure formation with significant local primordial non-Gaussianities at Mpc scales have shown that a non-Gaussian tail favouring underdensities, with a negative f
NL parameter, can significantly change the merging history of galaxy-sized dark matter halos, which then typically assemble later than in vanilla ΛCDM. Moreover, such a small-scale negative f
NL could have interesting consequences for the cosmological S
8 tension. Here, we complement our previous work on collisionless simulations with new hydrodynamical simulations of galaxy formation in boxes of 30 Mpc/h, using the RAMSES code. In particular, we show that all feedback prescriptions being otherwise identical, simulations with a negative f
NL ∼ -1000 on small scales, hence forming galaxies a bit later than in vanilla ΛCDM, allow to form simulated galaxies with more disky kinematics than in the vanilla case. Therefore, such small-scale primordial non-Gaussianities could potentially help alleviate, simultaneously, tensions in cosmology and galaxy formation. These hydrodynamical simulations on small scales will need to be complemented with larger box simulations with scale-dependent non-Gaussianities, to statistically confirm these trends and explore their observational consequences in further detail.
An Introduction to High Contrast Differential Imaging of Exoplanets and Disks
Authors: Follette Katherine B. 
Published: September 2023

Abstract
This tutorial is an introduction to High-Contrast Imaging, a technique that enables astronomers to isolate light from faint planets and/or circumstellar disks that would otherwise be lost amidst the light of their host stars. Although technically challenging, high-contrast imaging allows for direct characterization of the properties of circumstellar sources. The intent of the article is to provide newcomers to the field a general overview of the terminology, observational considerations, data reduction strategies, and analysis techniques high-contrast imagers employ to identify, vet, and characterize planet and disk candidates.
Adaptive octree meshes for simulation of extracellular electrophysiology
Authors: B C Girard Christopher , Song Dong 
Published: September 2023

Abstract

Objective. The interaction between neural tissues and artificial electrodes is crucial for understanding and advancing neuroscientific research and therapeutic applications. However, accurately modeling this space around the neurons rapidly increases the computational complexity of neural simulations. Approach. This study demonstrates a dynamically adaptive simulation method that greatly accelerates computation by adjusting spatial resolution of the simulation as needed. Use of an octree structure for the mesh, in combination with the admittance method for discretizing conductivity, provides both accurate approximation and ease of modification on-the-fly. Main results. In tests of both local field potential estimation and multi-electrode stimulation, dynamically adapted meshes achieve accuracy comparable to high-resolution static meshes in an order of magnitude less time. Significance. The proposed simulation pipeline improves model scalability, allowing greater detail with fewer computational resources. The implementation is available as an open-source Python module, providing flexibility and ease of reuse for the broader research community.
Lepton Flavour Universality tests in b → clν decays at LHCb
Authors: Mohammed R. ,   the LHCb collaboration
Published: September 2023

Abstract
The Standard Model predicts that the electroweak couplings to the three charged leptons are identical. However, in the last decade, experimental measurements have suggested that semileptonic processes involving taus could have a slightly enhanced decay rate compared to their muonic counterparts. If confirmed, this would be an unambiguous sign of New Physics, with various scenarios introducing additional interactions that couple preferentially to the third generation. Two recent lepton universality tests performed at LHCb are presented in these proceedings of the first edition of the New Frontiers in Lepton Flavour workshop.
The potential of a TeV-scale muon-ion collider
Authors: Acosta D. , Barberis E. , Hurley N. , Li W. , Miguel Colin O. , Wang Y. , Wood D. , Zuo X. 
Published: September 2023

Abstract
We propose the development of a novel muon-proton and
muon-nucleus collider facility at the TeV scale that is capable of
performing precision deep inelastic scattering measurements in new
regimes and providing a rich program in nuclear and particle
physics. Such a facility could seed, or leverage, the development of
a muon-antimuon collider and make use of the existing hadron
accelerator infrastructure when sited at a facility such as
Brookhaven National Laboratory, Fermilab, or CERN. We discuss the
possible energy and luminosity design parameters for several
collider configurations, and illustrate the science potential with
several studies on deep inelastic scattering kinematics, Higgs and
vector boson production, top quark production, and beyond Standard
Model leptoquark production. Detector design considerations and a
possible road map toward development are also given.
Weather pattern conducive to the extreme summer heat in North China and driven by atmospheric teleconnections
Authors: Xie Tiejun , Ding Ting , Wang Ji , Zhang Yingjuan , Gao Hui , Zhao Xiulan , Zhao Liang 
Published: September 2023

Abstract
Extreme summer heat can have severe socioeconomic impacts and has occurred frequently in North China in recent years, most notably in June–July 2023, when North China experienced the most widespread, persistent, and high-intensity extreme heat on record. Here, typical weather patterns covering North China and its surrounding areas were classified into seven types based on the Cost733class package, and the weather pattern type 4 (T4), characterized by the strengthened ridge and anticyclone anomaly in northeastern China, was found as the most favorable for the occurrence of extreme summer heat in North China (NCSH). Diagnostic and wave activity flux analyses indicate that the Eurasian teleconnection (EAT) pattern from the atmosphere and the Victoria mode (VM) from the ocean are the top two dominant climate drivers of the T4 weather pattern. The empirical models constructed based on the EAT and the VM can effectively simulate the number of days of the T4 weather pattern and the NCSH, respectively. Our results suggest that, with the help of the seasonal forecast from climate models, the EAT and the VM can be used to predict the number of days of the T4 weather pattern and the NCSH for the coming summer, enabling us to protect human health and reduce its socioeconomic impacts through proactive measures in advance.
The effect of thermal aging on flexural strength of CAD/CAM hybrid and polymeric materials
Authors: Yeslam Hanin E , Alharbi Shadia , Albalawi Waad , Hasanain Fatin A 
Published: September 2023

Abstract
The field of dentistry is consistently innovating with the introduction of novel hybrid and polymer materials for computer-aided design and manufacturing (CAD/CAM). It is noteworthy that the temperature within the oral cavity has a significant impact on the strength of new biomaterials utilized for CAD/CAM fabrication of fixed partial dentures (FPDs). Studies have demonstrated that alterations in intraoral temperature may significantly affect the longevity and durability of dental restorative materials. This study aimed to evaluate the flexural strength, flexural modulus, and effect of thermal aging on CAD/CAM restorative materials. Five CAD/CAM materials were investigated: nano-ceramic-hybrid (GR), polymer-infiltrated-ceramic-network (VE), polyether-ether-ketone (PK), fiberglass-reinforced epoxy-resin (CT), and Feldspar Ceramic (VB). A total of 100 bar-shaped specimens were prepared (N = 20). Each group was subdivided into thermocycling (TC) and no-thermocycling (NTC) subgroups (n = 10). All the specimens underwent a 3-point bending test. The mean flexural strengths and moduli were statistically analyzed using paired t-test, analysis of variance (ANOVA), and Bonferroni pair-wise comparison (p < 0.05). Significant differences were observed in the flexural strength (FS) and modulus (E) between the materials (p < 0.001). GR had the highest FS among tested hybrid materials. NTC CT had the highest FS (924.88 ± 120.1 MPa), followed by GR (385.13 ± 90.73 MPa), then PK (309.56 ± 46.84 MPa). The FS of brittle ceramic VB was the lowest (p < 0.001), but similar to that of PICN VE. Only resin-containing VE and CT significantly decreased in E after thermocycling (p < 0.01, p = 0.013), showing the softening effect of thermocycling on their resin matrix. It can be concluded that new hybrid materials (GR) had higher flexural strength than feldspar ceramic and other resin/polymeric CAD/CAM materials. Polymeric PEEK and GR hybrid materials were resistant to significant deleterious effects of TC. Therefore, they would be appropriate for situations with a higher stress load.
Efficient parallelization of quantum basis state shift
Authors: Budinski Lj , Niemimäki O , Zamora-Zamora R , Lahtinen V 
Published: September 2023

Abstract
Basis state shift is central to many quantum algorithms, most notably the quantum walk. Efficient implementations are of major importance for achieving a quantum speedup for computational applications. We optimize the state shift algorithm by incorporating the shift in different directions in parallel. This provides a significant reduction in the depth of the quantum circuit in comparison to the currently known methods, giving a linear scaling in the number of gates versus working qubits in contrast to the quadratic scaling of the state-of-the-art method based on the quantum Fourier transform. For a one-dimensional array of size 2
n
for n > 4, we derive the total number of

15
n
+
74

two-qubit CX gates in the parallel circuit, using a total of

2
n
−
2

qubits including an ancilla register for the decomposition of multi-controlled gates. We focus on the one-dimensional and periodic shift, but note that the method can be extended to more complex cases.
Universal material trends in extraordinary magnetoresistive devices
Authors: Erlandsen Ricci , Désiré Pomar Thierry , Kornblum Lior , Pryds Nini , Bjørk Rasmus , Christensen Dennis V 
Published: September 2023

Abstract
Extraordinary magnetoresistance (EMR) is a geometric magnetoresistance emerging in hybrid systems typically comprising a high-mobility material and a metal. Due to a field-dependent redistribution of electrical currents in these devices, the electrical resistance at room temperature can increase by 107% when applying a magnetic field of 5 T. Although EMR holds considerable potential for realizing sensitive, all-electronic magnetometers, this potential is largely unmet. A key challenge is that the performance of EMR devices depends very sensitively on variations in a vast parameter space where changes in the device geometry and material properties produce widely different EMR performances. The challenge of navigating in the large parameter space is further amplified by the poor understanding of the interplay between the device geometry and material properties. By systematically varying the material parameters in four key EMR geometries using diffusive transport simulations, we here elucidate this interplay with the aim of finding universal guidelines for designing EMR devices. Common to all geometries, we find that the sensitivity scales inversely with the carrier density, while the MR reaches saturation at low carrier densities. Increasing the mobility beyond 20 000 cm2 Vs−1 is required to observe strong EMR effects at 1 T with the optimal magnetoresistance observed for mobilities between 100 000–500 000 cm2 Vs−1. An interface resistance below

ρ
c

=

10

−
4

Ω

cm2 between the constituent materials in the hybrid devices was also found to be a prerequisite for very high magnetoresistances in all geometries. By further simulating several high-mobility materials at room and cryogenic temperatures, we conclude that encapsulated graphene and InSb are amongst the most promising candidates for EMR devices showing high magnetoresistance exceeding 107% below 1 T at room temperature. This study paves the way for understanding how to realize EMR devices with record-high magnetoresistance and high sensitivity for detecting magnetic fields.
Multirate and multi-stage holomorphic embedding for dynamic simulation of systems of differential-algebraic equations
Authors: Strake Julius , Reimann Jonas , Lankes Lukas , Benigni Andrea 
Published: September 2023

Abstract
In this paper, we present a novel multirate (MR) extension to the multi-stage holomorphic embedding (MSHE) method and use it to dynamically solve systems of differential-algebraic equations. As a test of real-world applicability, we analyze the algorithm for typical power system cases. When applied to the IEEE 34 bus and IEEE 9 bus benchmark system, the multirate approach significantly reduces the number of recalculations of most variables as compared to the existing MSHE algorithm, thus offering the chance of decreasing simulation time while providing simple means of error control. This integration of a multirate ansatz into the well-established MSHE solver potentially opens up systems for dynamic simulation that were up to now out of numerical reach.