bluuebunny/crossref_metadata_2025_split huggingface dataset:
‘Talking about’ the far right and common sense. A case study of Matteo Salvini’s buon senso trope on Twitter (2018–2023)
Authors: Newth George 
Published: February 2024

AbstractBetween 2018 and 2023, Matteo Salvini, leader of Italian far right party Lega per Salvini Premier, depicted his policies as ‘common sense’ via Twitter. While far right actors frequently frame their politics as common sense, the role of this discourse in the mainstreaming of the far right via social media remains largely under-examined. This article addresses this gap in the literature by combining a Gramscian-inspired dyad of senso comune v buon senso (common sense v good sense), and recent discursive approaches to mainstreaming, with the general orientation of the Discourse Historical Approach (DHA) to Critical Discourse Studies (CDS). Viewing Salvini’s use of a buon senso trope over a five-year period through this conceptual and analytical lens reveals how it constituted a form of ‘talking about’ the far right, i.e. a self-referential strategy aiming to bring far right politics closer to the mainstream.
Digital green value co-creation behavior, digital green network embedding and digital green innovation performance: moderating effects of digital green network fragmentation
Authors: Yin Shi , Zhao Yudan 
Published: February 2024

AbstractIn the era of digital economy, digital green value co-creation behavior (DGVCB) has replaced the previous value creation. DGVCB has become a tool for business ecosystems to gain sustainable ecological advantages in today’s increasingly complex market. At present, there are few researches on the influence of DGVCB and digital green network embedding(DGNE) on digital green innovation performance(DGIP). This paper faces the institutional logic of DGVCB, analyzes the mechanism of DGNE and digital green network fragmentation (DGNF) in the context of business ecosystem competition, and then constructs the causal relationship between DGVCB and DGIP. Based on 326 valid questionnaires and sample data, this paper empirically studies the effects of digital green value co-creation and DGNE on DGIP by using regression analysis method, and verifies and discusses the proposed theoretical hypotheses. The results show that DGVCB and DGNE have significant positive effects on the improvement of DGIP. DGNE plays an intermediary role between DGVCB and DGIP. DGNF plays a positive moderating role between DGVCB and DGIP. This study provides theoretical guidance for the governance of business ecosystem and the formulation of cooperation strategies for enterprises.
Mid-infrared seven-core chalcogenide fiber with ultra-large mode field area and high beam quality
Authors: Wang Xian-Ge , Jiao Kai , Liang Xiaolin , Bai Shengchuang , Zhao Zheming , Shen Xiang , Nie Qiuhua , Wang Rongping , Wang Xunsi 
Published: February 2024

Abstract
A seven-core chalcogenide fiber with an ultra-large mode field for mid-infrared range of 2.5–11 μm is designed and fabricated. Through manipulation of the core radius and pitch in the seven-core configuration, we are engaged in a comprehensive exploration of crosstalk characteristics and the mode field area (MFA). In addition, the relationship between the parameters of seven-core fiber for infrared and the beam quality of the output laser is analyzed for the first time. A theoretical MFA of 8914 μm2 can be calculated with a core radius of 24 μm and the pitch of 50 μm. This impressive MFA is realized through the deployment of an improved drilling technique in the fabrication of a Ge–As–Se seven-core fiber. The fiber has a relatively low loss at the wavelength range of 2.5–11 μm, and the minimum loss is 1.4 dB m−1 at 8.5 μm. The measured MFA of the fiber at 10.6 μm is 7364 μm2, which is 6.2 times higher than that of traditional stepped single-core fiber, but slightly lower than the theoretical value. The power delivery capability of the fiber has been significantly improved about two times compared with that of single-core fiber. The output beam quality factor M
2 is calculated as 1.13. In all, the seven-core fiber exhibits substantial potential for high-power laser propagation with high quality and flexibility.
Current sheet evolution in a planar inductive pulsed plasma thruster
Authors: Promislow Curtis L , Little Justin M 
Published: February 2024

Abstract
The evolution of the current sheet is fundamental to the understanding and operation of planar inductive pulsed plasma thrusters. Methods for experimentally determining the time-varying mutual inductance and plasma resistance associated with the current sheet are presented. From these, time-histories of the resistive heating in and electromagnetic acceleration of the sheet are found. Analysis of experimental data obtained from a compact, low discharge energy inductive pulsed plasma thruster shows that current sheet evolution is well described by three phases: ionization, formation, and acceleration. Evidence is provided for the plasma current and resistive heating becoming localized near the upstream edge of the current sheet as the sheet forms. The influence of initial propellant density and pre-ionization on the characteristics of the sheet are examined. Both higher propellant densities and increased pre-ionization are found to produce current sheets which exhibit greater magnetic impermeability. Higher densities cause the sheet to form closer to the coil face, improving coupling, while stronger pre-ionization leads to more rapid resistive heating, causing the sheet to form earlier in time.
Cooperative navigation of unmanned aerial vehicle formation with delayed measurement
Authors: Shi Chenfa , Xiong Zhi , Chen Mingxing , Xiong Jun , Wang Zhengchun 
Published: February 2024

Abstract
This paper focused on the problem of positioning accuracy degradation caused by delayed measurement information in unmanned aerial vehicle (UAV) formation cooperative navigation under complex environments such as cities and hills, and presented a non-synchronous compensation algorithm based on kinematic constraints and constructed a distributed cooperative navigation filter based on the analysis of the basic operating characteristics of inertial devices, satellite receivers, and ranging sensors. In the UAV formation, the leader-UAV is equipped with real-time kinematic differential equipment and airborne data link to construct the airborne reference beacons and provide cooperative navigation services for the wingman-UAV. Firstly, the navigation filtering framework with inertial sensors as the core is established. Secondly, the non-synchronous compensation filter is constructed by using the kinematic constraint model, which compensates and corrects the non-synchronous air-based position of the leader-UAV, and reduces the effect of delayed measurement on the positioning error of the system. Then the fault diagnosis algorithm is utilized to complete the identification and rejection of abnormal range values in the case of non-line-of-sight. Finally, the navigation parameters are solved by the Kalman filter. Simulation results show that the non-synchronous compensated filtering proposed in this paper can improve the absolute positioning accuracy by 55%, which effectively improves the cooperative navigation performance and robustness under the presence of random time delay in the measurement information.
Affine medical image registration with fusion feature mapping in local and global
Authors: Ji Wei , Yang Feng 
Published: February 2024

Abstract

Objective. Medical image affine registration is a crucial basis before using deformable registration. On the one hand, the traditional affine registration methods based on step-by-step optimization are very time-consuming, so these methods are not compatible with most real-time medical applications. On the other hand, convolutional neural networks are limited in modeling long-range spatial relationships of the features due to inductive biases, such as weight sharing and locality. This is not conducive to affine registration tasks. Therefore, the evolution of real-time and high-accuracy affine medical image registration algorithms is necessary for registration applications. Approach. In this paper, we propose a deep learning-based coarse-to-fine global and local feature fusion architecture for fast affine registration, and we use an unsupervised approach for end-to-end training. We use multiscale convolutional kernels as our elemental convolutional blocks to enhance feature extraction. Then, to learn the long-range spatial relationships of the features, we propose a new affine registration framework with weighted global positional attention that fuses global feature mapping and local feature mapping. Moreover, the fusion regressor is designed to generate the affine parameters. Main results. The additive fusion method can be adaptive to global mapping and local mapping, which improves affine registration accuracy without the center of mass initialization. In addition, the max pooling layer and the multiscale convolutional kernel coding module increase the ability of the model in affine registration. Significance. We validate the effectiveness of our method on the OASIS dataset with 414 3D MRI brain maps. Comprehensive results demonstrate that our method achieves state-of-the-art affine registration accuracy and very efficient runtimes.
Multipartite entanglement serves as a faithful detector for quantum phase transitions
Authors: Li Yan-Chao , Zhou Yuan-Hang , Zhang Yuan , Bai Yan-Kui , Lin Hai-Qing 
Published: February 2024

Abstract
We investigate quantum phase transitions (QPTs) in various spin chain systems using the multipartite entanglement measure

τ

S
E
F

based on the monogamy inequality of squared entanglement of formation (EOF). Our results demonstrate that

τ

S
E
F

is more effective and reliable than bipartite entanglement or bipartite correlation measures such as EOF, von Neumann entropy, and quantum discord in characterizing QPTs.

τ

S
E
F

not only detects critical points that may go unnoticed by other detectors but also avoids the issue of singularity at non-critical points encountered by other measures. Furthermore, by applying

τ

S
E
F

, we have obtained the phase diagram for the XY spin chain with three and four interactions and discovered a new quantum phase.
The interaction of information diffusion and epidemic transmission in time-varying multiplex networks with simplicial complexes and asymmetric activity levels
Authors: Xie Xiaoxiao , Huo Liang’an , Dong Yafang , Li Ming , Cheng Yingying 
Published: February 2024

Abstract
Information diffusion among individuals occurs in various ways, mainly involving pairwise and higher-order interactions, and their coexistence can be characterized by simplicial complexes. This paper introduces a novel two-layer model that investigates coupled information-epidemic propagation. Specifically, the upper layer represents the virtual layer that depicts information diffusion, where the interaction process among individuals is not only limited to pairwise interactions but also influenced by higher-order interactions. The lower layer denotes the physical contact layer to portray epidemic transmission, where the interaction process among individuals is only considered in pairwise interactions. In particular, the emergence of asymmetric activity levels in two-layer networks reshapes the propagation mechanism. We then employ the micro-Marko chain approach (MMCA) to establish the probabilistic transfer equation for each state, deduce the epidemic outbreak threshold, and investigate the equilibrium and stability of the proposed model. Furthermore, we perform extensive Monte Carlo (MC) simulations to validate the theoretical predictions. The results demonstrate that the higher-order interaction generates synergistic reinforcement mechanisms that both facilitate information diffusion and inhibit epidemic transmission. Moreover, this study suggests that the activity level of individuals at the physical contact level has a greater impact on epidemic transmission. In addition, we utilize two different networks to explore the influence of network structural features on the transmission and scale of epidemics.
Protecting quantum correlations of negative quantum states using weak measurement under non-Markovian noise
Authors: Lalita Jai , Banerjee Subhashish 
Published: February 2024

Abstract
The weak measurement (WM) and quantum measurement reversal (QMR) are crucial in protecting the collapse of quantum states. The idea of WM and QMR has recently been used to protect and enhance quantum correlations and universal quantum teleportation (UQT) protocols. Here, we study the quantum correlations, maximal fidelity, and fidelity deviation of the two-qubit negative quantum states developed using discrete Wigner functions with(without) WM and QMR. To take into account the effect of a noisy environment, we evolve the states via non-Markovian amplitude damping and random telegraph noise quantum channels. To benchmark the performance of negative quantum states, we calculate their success probability. We compare our results with the two-qubit maximally entangled Bell state. Interestingly, we observe that some negative quantum states perform better with WM and QMR than the Bell state for different cases under evolution via noisy quantum channels.
Solution to the schrödinger equation for bound states of polar molecules using shallow neural networks
Authors: Silva-Molina Rosela Yesenia Guadalupe , Jimenez-Valencia Marco A , Castellanos-Jaramillo Alejandro , Duarte-Alcaraz Francisco Adrián , Castellanos-Jaramillo Juan Miguel , Castellanos-Moreno Arnulfo 
Published: February 2024

Abstract
The time independent Schrödinger equation can be solved analytically in very few cases. This is why scientists rely on approximate numerical methods. One that is yet to be a part of the everyday toolbox for physicists are neural networks. With it, it is possible to calculate eigenfunctions and the energy spectra of bound states. A double exponential central potential is used to describe the interaction between two electric dipoles that form through van der Waals interactions. These systems can be important when the electric dipoles are very large and differ from covalent, ionic, and other kinds of bonds, as is the case of the monomers

M
−

C

60

,

where

M
=

Cs
,
Li

or other alkali metals. Based in statistical physics, it has been shown that a dimer can be formed through a spontaneous and exothermic reaction. The ground state and the first two excited states of this system were calculated, also the solutions and their associated energies were plotted. The result for the ground state is compared to the shooting method and the direct variational method. The numerical value of the ground states obtained suggests that the dimers can be dissociated by electromagnetic waves with wavelengths in the far infrared regime, very close to microwaves.
A comparative study of reduced graphene oxide synthesized through different techniques for UV-C radiation detection application
Authors: Shruthi G , Reddy Kruthika SM , Garg Anshika , G Baishali , Saara K 
Published: February 2024

Abstract
In this work, reduced Graphene oxide (rGO) is synthesized through three different chemical routes of synthesis and they are used for the fabrication of UV radiation detectors working in the 100–280 nm range. The fabricated device is a Silicon based radiation detectors with these different synthesized samples of rGO as the sensing material. The photon detector has an architecture of a field effect transistor working in the back-gate mode of operation. The device response is studied in presence of UV rays for all the three types of devices in the back-illumination mode of operation. A comparative analysis of the performance of these three devices is done to analyze the effect of rate of reduction on the device performance and its correlation with the properties of rGO. It was observed that higher the rate of reduction, better is the performance of the device. The effect can be correlated with the improved electrical conductivity and reduced bandgap of rGO.
Method of searching coupled optical solitons to magneto- optic waveguides having parabolic-nonlocal law of refractive index
Authors: Yomba Emmanuel 
Published: February 2024

Abstract
Numerous methodologies employed for the exploration of soliton solutions within nonlinear models demonstrate considerable efficacy and efficiency in addressing individual nonlinear partial differential equations (NLPDEs). However, their efficacy diminishes when applied to interconnected NLPDEs, owing to the presence of interaction terms in the coupled equations. Consequently, deriving exact solutions for such coupled equations presents a formidable challenge. In response to this challenge, several researchers have endeavored to solve coupled equations by assuming a proportional relationship between the solution in one line and that in another line, resulting in the imposition of excessive constraints and the subsequent reduction of coupled equations to a single equation. Regrettably, this approach compromises the fidelity of the physical phenomena that these equations aim to describe. In contrast, we propose a method characterized by its simplicity and directness, providing a more authentic and insightful analytical perspective for the investigation of coupled NLPDEs. The innovation lies in its capability to simultaneously propagate different types of solitons in two lines with a single operation, while also enabling the natural emergence of analogous solitons in both systems under minimal constraints. We apply this method to scrutinize the propagation of a diverse range of novel coupled progressive solitons in magneto-optical waveguides featuring a parabolic-nonlocal law of nonlinearity and governed by coupled nonlinear Schrödinger equations. The resultant solitons, depicted through detailed 2D and 3D visualizations in figures 1–12 demonstrate a multitude of coupled soliton forms, several of which are novel in the field.
On conservation laws, their applications in stability analysis and chirped solitary wave solutions for the generalized Schrödinger–Hirota equation and its reductions
Authors: Dan Jayita , Garai Sudip , Ghose-Choudhury A , Gangopadhyay Sankar 
Published: February 2024

Abstract
Conserved quantities for a generalized version of the Schrödinger–Hirota (SH) equation and its reductions are deduced using an algorithmic approach which is easier to implement compared to more sophisticated mathematical methods. The conserved mass and the Hamiltonian, whenever it exists, are then used to analyse the stability of exact stationary wave solutions, by invoking the Vakhitov-Kolokolov criterion and variational methods. In addition we have focussed on two classes of chirped solitary wave solutions for reductions of the generalised SH equation, namely the algebraic and the hyperbolic classes. It is found that along with the regular dependance of the chirp on the intensity there may even be an additional dependence varying inversely on the intensity of the solitary wave. The chirped hyperbolic solutions are found to correspond to gray solitary waves for suitable parameter values which may also flip to anti-dark solitary waves depending on the ratio of the parameters involved in the solution.
Enhancement of energy storage in nanocomposite thin films: Investigating PVDF-ZnO and PVDF-TZO for improved dielectric and ferroelectric characteristics
Authors: Kaur Daljeet , Kumar Naveen , Anand Gagan , Panwar Ranvir Singh , Madhu Charu 
Published: February 2024

Abstract
In contrast to a polymer nanocomposite for high energy density application, a lead-free material such as zinc oxide (ZnO) and a non-toxic polymer matrix such as polyvinylidene fluoride (PVDF) can serve as a potential candidate for use in eco-friendly applications. In the present report, an effort has been made to enhance the dielectric behaviour of the PVDF-based nanocomposites by adding ZnO nanoparticles (NPs) and TiO2-coated ZnO NPs (TZO) as nanofillers. A wet chemical precipitation technique was adopted to synthesize the thin films of PVDF,PVDF-ZnO, and PVDF-TZO nanocomposites. The structural, dielectric, ferroelectric, and energy density studies of PVDF, PVDF-ZnO, and PVDF-TZO nanocomposites thin films were performed for different concentrations (10%, 20%, 30%, and 40%) of nanofillers. Structural characterization carried out using x-ray diffraction studies confirmed the formation of PVDF-ZnO and PVDF-TZO nanocomposite thin films as the diffraction peaks (110) and (200) belonging to β-phase of PVDF, and (100, (002), (101), (110), (103), (200), (112), and (210) peaks were observed for ZnO, and (200), (116), (202) peaks belonging to TiO2 in case of PVDF+ 10% TZO and PVDF+40% TZO thin films. The functional groups belonging to β-phase of PVDF and ZnO were detected using a Fourier transform infrared spectrometer (FTIR). The surface microstructural of pure PVDF thin films showed spherulites and microimages of PVDF+ 10% ZnO and PVDF+ 10% TZO thin films depicted the inhomogeneous distribution of particles in the PVDF matrix. The maximum value of the dielectric constant, the maximum value of energy density, maximum remnant polarization, and the minimum value of dielectric loss for PVDF-TZO. PVDF-TZO thin films show an energy density of 65.3 μJ/cm3 for 40% of the nanofiller (TZO).
ReQUSA: a novel ReRAM-based hardware accelerator architecture for high-speed quantum computer simulation
Authors: Lee Sanghyeon , Hour Leanghok , Kim Yongtae , Han Youngsun 
Published: February 2024

Abstract
Quantum computers are currently regarded as an emerging computing technology that can solve problems more quickly than classical computers. However, since constructing a general quantum computer is technically difficult, quantum computer simulation has been used instead of real quantum computers. Simulating quantum computers on classical computers is challenging because the time and resources required for the vectormatrix multiplication (VMM) increase exponentially with the number of qubits. This paper proposes a new accelerator architecture called ReQUSA that leverages resistive random access memory (ReRAM) to accelerate the quantum computer simulation. The ReQUSA employs a ReRAM crossbar array structure, which is specialized for implementing the VMM, and a realized state method for reduced VMM operation. To the best of our knowledge, ReRAM-based accelerators for quantum computer simulators has not been previously reported. Here, we describe the hardware design of the architecture and compare the performances (hardware resource, simulation time, and accuracy) of our accelerator with those of current quantum computer simulators (QuEST, QPlayer, and Qiskit). On average, our proposed architecture reduced the simulation times by factors of ×104 and ×103 (×102) on average from those of QuEST and QPlayer (also Qiskit), respectively. In addition, our architecture achieved 99% accuracy in 16-bit fixed-point data representation.
A study on the dynamics of a breast cancer model with discrete-time delay
Authors: Das Anusmita , Dehingia Kaushik , Hinçal Evren , Özköse Fatma , Hosseini Kamyar 
Published: February 2024

Abstract
This study aims to discuss the impact of discrete-time delay on the anti-tumor immune response against tumor growth, excess levels of estrogen, and the source rate of immune cells in a breast cancer model. The non-negativity and boundedness of the solutions of the model are discussed. The existence of equilibria and their stability are examined. It is found that if the estrogen level is normal and the source rate of immune cells is low, the stability of the model around the co-existing equilibrium switches to instability via a Hopf bifurcation as the time delay increases. To validate the theoretical findings, a few numerical examples have been presented. The main result of this study is that the growth of tumors can be controlled if the immune system quickly generates an anti-tumor immune response. However, if the immune system takes a longer time to generate anti-tumor immune responses, the tumor growth cannot be controlled, and the system becomes unstable, which may result in the further spread of the disease.