bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comment on ‘Gruneisen approach for universal scaling of the Brillouin shift in gases’
Authors: van de Water Willem 
Published: August 2023

Abstract
I comment on the recent article Grüneisen approach for universal scaling of the Brillouin shift in gases by Liang et al (2022 New J. Phys.
24 103005). While the result of this article indeed provides a parametrization of measured Rayleigh Brillouin scattering spectra, I argue that the association with the Grüneisen effect is fortuitous. The Grüneisen effect is the change of the specific heat with compression of a gas. For the nontrivial case of the van der Waals gas, it predicts the decrease of the velocity of sound with increasing pressure. In solids, which is the context considered in the article by Liang et al, the effect is opposite: an increase of the velocity of sound with pressure.
Controlled transport in chiral quantum walks on graphs
Authors: Yu Yi-Cong , Cai Xiaoming 
Published: August 2023

Abstract
We investigate novel transport properties of chiral continuous-time quantum walks (CTQWs) on graphs. By employing a gauge transformation, we demonstrate that CTQWs on chiral chains are equivalent to those on non-chiral chains, but with additional momenta from initial wave packets. This explains the novel transport phenomenon numerically studied in (Khalique et al 2021 New J. Phys.
23 083005). Building on this, we delve deeper into the analysis of chiral CTQWs on the Y-junction graph, introducing phases to account for the chirality. The phase plays a key role in controlling both asymmetric transport and directed complete transport among the chains in the Y-junction graph. We systematically analyze these features through a comprehensive examination of the chiral CTQW on a Y-junction graph. Our analysis shows that the CTQW on Y-junction graph can be modeled as a combination of three wave functions, each of which evolves independently on three effective open chains. By constructing a lattice scattering theory, we calculate the phase shift of a wave packet after it interacts with the potential-shifted boundary. Our results demonstrate that the interplay of these phase shifts leads to the observed enhancement and suppression of quantum transport. The explicit condition for directed complete transport or

100
%

efficiency is analytically derived. Our theory has applications in building quantum versions of binary tree search algorithms.
Phase-dependent charge and heat current in thermally biased short Josephson junctions formed at helical edge states
Authors: Dutta Paramita 
Published: August 2023

Abstract
We explore the phase-dependent charge and heat current in short Josephson junctions (JJs) with two normal metal regions attached at opposite ends, formed at helical edge states of two-dimensional topological insulators. For all finite phases, an asymmetry appears around the zero energy in the transmission spectra except for

ϕ
=
n

ϕ
0

, where n is a half-integer and φ
0 (

=
2
π

) is the flux quantum. The phase-induced asymmetry plays a key role in inducing charge and heat current through the thermally biased junction. However, the current amplitudes are sensitive to the size of the junction. We show that in the short JJ when subject to a temperature gradient, the charge current shows an odd symmetry in phase. It indicates that the phase-tunable asymmetry around the zero energy is not sufficient to induce a dissipative thermoelectric current in the junction. This is in contrast to the behavior of long JJ, as shown in the literature. The phase-tunable heat currents are obtained with amplitudes set by the phase difference, base temperature, and system size.
Scattering terahertz wave regulation of coded metasurface based on phase change material
Authors: Lin Hai , Han Junling , Li Chenxia 
Published: August 2023

Abstract
By using the combination of resonant plasma-coded metasurface and phase change material GST, a tunable cell structure was designed. Using these units, the encoded metasurface was constructed to achieve different beam regulation functions. The designed unit structure consists of coding particles displaying two characteristics respectively. Particle A can control the abnormal scattering angle in the amorphous state of GST. Particle B can realize the amplitude regulation in both crystalline and amorphous states of GST. By introducing Fourier convolution principle in digital signal processing, the multi-angle beam modulation of coded metasurface can be realized. The introduction of phase change material leads to a tunable function of designed coded metasurface. This method of beam directed scattering is expected to play a role in human physiotherapy of electromagnetic wave.
Space-time origin of gauge symmetry
Authors: Napsuciale Mauro 
Published: August 2023

Abstract
In this work, by a first principles calculation, we show that quantum states describing massive relativistic free spinning particles obey kinematical conditions whose origin can be traced to parity as a good quantum number. These conditions are at the root of the equations of motion and of the constraints satisfied by the corresponding fields. In the massless limit, well defined parity is lost but a symmetry emerges related to arbitrary changes in the unphysical parity components. It is shown that this emergent symmetry is the celebrated gauge symmetry.
Dynamic modulation of localized defect states in multichannel photonic crystal waveguides
Authors: Wang Pei-Lin , Zhao Li-Ming , Zhou Yun-Song 
Published: August 2023

Abstract
The localized defect states (LDS) can usually be obtained by introducing dielectric defects or dielectric disorder into photonic crystals. Here, we introduce a new method to dynamically generate LDS, which can be realized in multichannel photonic crystal waveguides by modulating the position, polarization and phase of multiple dipole sources. We propose a general theory to obtain the localization conditions. When multiple dipole sources satisfy the localization condition, LDS can be generated. Unlike the traditional LDS, the size and position of the LDS in our method can be adjusted by the control of the dipole sources. In addition, the conversion of LDS and waveguide mode can be realized easily by the modulation of the dipole sources.
Effects of two weak femtosecond pulse seeds on promoting rogue wave generation
Authors: Liu Shuo , Liu Ziqi 
Published: August 2023

Abstract
We numerically simulate the enhancement of rogue wave generation by adding two weak femtosecond pulse seeds at two fixed modulation frequencies. The results show that two weak pulse seeds have better promotion effect on rogue wave generation than one weak pulse seed. In addition, the modulation depth and pulse width of the weak pulse seeds also affect the generation of rogue wave. With the increase of the modulation depth and pulse width of the two weak pulse seeds, the control effect of rogue wave gradually becomes better.
Modelling and dynamic analysis of a MEMS ring resonator supported by circular curved shaped inner beams
Authors: Ranji Ahmad Rahbar , Guo Jingshuai , Alirezaee Shahpour , Ahamed Mohammed Jalal 
Published: August 2023

Abstract
Microelectromechanical systems (MEMS) based ring shaped resonators usually have a ring supported by spoke shaped springs. In this paper, we developed a general analytical model that can determine the natural frequency of any MEMS ring resonator considering effective mass and stiffness of spokes in both radial and tangential displacements. Our model is also able to determine the stiffness of the circular curved beam with arbitrary central angle. The well-known energy based Castigliano’s method was used to calculate the stiffness of a circular curved beam considering both flexural and axial rigidities. The stiffness of a circular curved beam with different central angles was determined and compared with the literature and finite element method (FEM). The results show that for the case of a central angle of the curved beam larger than 60 degrees, the deviation between the FEM and analytical approach is less than 1%. The potential energy and kinetic energy of the outside ring and spokes were determined based on the displacement function. The natural frequency of a ring resonator with different number of circular curved beams in the form of petals in modes n = 2 and n = 3 were determined and the results were compared with a numerical approach using FEM. The deviations between the analytical approach and numerical method are less than 4%.
Tungsten dopant incorporation for bandgap and type engineering of perovskite crystals
Authors: Khan M I , Hussain Saddam , Siddique Subhani Waqas , Ammami Mongi , Shahid Wajeehah , Ali Rashid 
Published: August 2023

AbstractOrganic–inorganic hybrid halide perovskites have shown to be viable semiconductor materials, as the absorber layer of solar cells. Unfortunately, the polycrystalline qualities of perovskite films result in nonuniform coverage or a high recombination rate, which weakens the photoelectric capabilities of thin films. Here, the pure and tungsten (W)-doped methylammonium lead bromide (CH3NH3PbBr3or MAPbBr3) films are deposited to FTO-glass substrates using the sol–gel spin coating method. The W-doping causes the nucleation and crystallization processes, which then have an impact on the film’s characteristics. It is discovered that the introduction of tungsten metal significantly enhances the quality of the perovskite film, resulting in larger grain sizes, lower band gap energy, and shorter recombination lifetimes, increasing the power conversion efficiency of perovskite thin film solar cells.
Do Minor Interactions Trigger Star Formation in Galaxy Pairs?
Authors: Das Apashanka , Pandey Biswajit , Sarkar Suman 
Published: August 2023

Abstract
We analyze the galaxy pairs in a set of volume limited samples from the Sloan Digital Sky Survey to study the effects of minor interactions on the star formation rate (SFR) and color of galaxies. We carefully design control samples of isolated galaxies by matching the stellar mass and redshift of the minor pairs. The SFR distributions and color distributions in the minor pairs differ from their controls at >99% significance level. We also simultaneously match the control galaxies in stellar mass, redshift and local density to assess the role of the environment. The null hypothesis can be rejected at >99% confidence level even after matching the environment. Our analysis shows a quenching in the minor pairs where the degree of quenching decreases with the increasing pair separation and plateaus beyond 50 kpc. We also prepare a sample of minor pairs with H
α
line information. We calculate the SFR of these galaxies using the H
α
line and repeat our analysis. We observe a quenching in the H
α
sample too. We find that the majority of the minor pairs are quiescent systems that could be quenched due to minor interactions. Combining data from the Galaxy Zoo and Galaxy Zoo 2, we find that only ∼1% galaxies have a dominant bulge, 4%–7% galaxies host a bar and 5%–10% of galaxies show active galactic nucleus (AGN) activity in minor pairs. This indicates that the presence of bulge, bar or AGN activity plays an insignificant role in quenching the galaxies in minor pairs. The more massive companion satisfies the criteria for mass quenching in most of the minor pairs. We propose that the stripping and starvation likely caused the quenching in the less massive companion at a later stage of evolution.
Energy transformations accompanying a shock wave distortion and disappearance during the interaction with thermally stratified plasma
Authors: Azarova O.A. , Krasnobaev K.V. , Lapushkina T.A. , Kravchenko O.V. 
Published: August 2023

Abstract
The results of experiments and numerical simulations of the interaction of a plane shock wave with an area of ionization strata formed by a glow gas discharge are presented. For the experimentally obtained phenomena transformations of kinetic and internal energy have been studied numerically using Euler and Navier-Stokes approaches under the assumption that ionization unstable plasma has stratified gas temperature. Energy transfer between a region of layered energy deposition and heated gas zone behind the shock wave was considered. It has been established that a layered energy deposition can provide the distortion and destruction of a shock wave front and in addition, to create a lot of zones with higher internal and kinetic energy beyond it. These phenomena were shown to be connected with generation in many points of the Richtmyer-Meshkov instability resulting from the interaction of thermal strata with a front of the shock wave.
Study of two Specific Frequency-selecting Procedures for All-fiber Single-frequency Lasers
Authors: Wang Dongdong , Li Li , Wang Qi , Luo Saiyu , Wang Weijiang , Xing Hao , Fang Ruina , Huang Yun , Wang You 
Published: August 2023

Abstract
In this paper, a detailed study of two specific frequency-selecting procedures for all-fiber single-frequency lasers is presented. The frequency-selection has been realized by using a multi-ring cavity (MRC) and double Mach-Zehnder interferometer (MZI), respectively. Firstly, the frequency-selecting principles of two procedures have been simply summarized, and the influences of the sub-ring lengths in the MRC, the optical path difference between two arms of a MZI, and the length of the primary ring cavity on single-frequency lasers have been analysed in detail. Then, the 1064.3 nm single-frequency emission with the linewidth <10 kHz in the same Ytterbium-doped fiber laser scheme has been achieved by employing two different procedures. Finally, the pump power thresholds of the MRC-based and MZI-based single-frequency fiber lasers were measured as 60 and 70 mW, the slope efficiencies were measured as 6.5 and 5.3%, and the side-mode suppression ratios were measured as 45 and 48 dB, respectively. The results reveal that the MRC-based single frequency fiber lasers have the higher energy efficiency while the MZI-based ones have the better mode stability.
Influence of water film on subsurface defect detection using eddy current pulsed thermography
Authors: Miao L , Gao B , Li H R , Liu L , Yang G 
Published: August 2023

Abstract
Eddy current pulsed thermography (ECPT) is an effective non-destructive testing (NDT) technique for detecting flaws in metallic materials. However, due to the low radiation and high reflection properties of metallic materials, as well as the inhomogeneous emission caused by the complex states of the material surface, the detection of subsurface defects becomes difficult. In this paper, the physical mechanisms underlying the interference of the thin water film in ECPT detection are studied. Two static comparative experiments have been carried out on the ferromagnetic plate with several artificial subsurface defects. In the first comparative experiment, a high radiation point has been artificially added near the defects. The experimental results showed that water film could eliminate the influence of inhomogeneous emission. In the second experiments, the effectiveness of water film in improving the detectability of subsurface defects has been demonstrated and the subsurface defects with a maximum buried depth of 0.4 mm can be detected.
Multi-hop Information-based Graph Convolutional Network for Clustering
Authors: Feng Xiao , Xu Yongdong 
Published: August 2023

Abstract
Clustering is an essential and demanding undertaking in data analysis. The combination of traditional neural networks and graph convolutional networks (GCNs) has been extensively discussed in clustering tasks, in which the deep clustering methods learn useful content information and the graph convolutional networks mine the structured neighboring information in the graph data. However, the existing works equally consider the importance of different features to clustering and only focus on the nearest neighboring information in the structured features, ignoring the features of the long distant neighbors in the multi-hop information, resulting in inferior performance. We propose a novel multi-hop information-based graph convolutional network (MIGCN) for clustering to overcome these disadvantages. Specifically, we fuse content features and structured features with adaptive weights, which are dynamically adjusted according to the training results. Meanwhile, we utilize a multi-hop information module to extract structured features. Moreover, we design a multi-supervision mechanism and guide the training and updating of the whole model. Our method achieves better results than previous deep clustering approaches because it takes into account the diverse features embedded in the neural network and a dynamic fusion strategy for clustering. Our model has undergone rigorous testing on widely-accepted standard datasets, employing both objective and subjective evaluation measures. The results consistently demonstrate that our model consistently outperforms state-of-the-art techniques, validating its superior performance.
Order Acceptance and Scheduling Model Based on Improved Genetic Algorithm
Authors: Fu Ying , Luo Li , Zhao Ruhong 
Published: August 2023

Abstract
As the manufacturing industry’s industrial structure continues to evolve, many enterprises have shifted from traditional make-to-store modes (MTS) to make-to-order modes (MTO). This paper focuses on MTO manufacturing enterprises’ order acceptance and scheduling problem, namely, how to exclude low-margin orders under capacity constraints and schedule them. We establish a hypothetical model with the goal of maximizing corporate profits, taking into account production capacity constraints and delivery time constraints. To solve the model, we propose a heuristic solution method based on genetic algorithms. The feasibility of the method is verified through randomly generated examples. The research results demonstrate that our proposed solution method can quickly solve large-scale order decision-making problems and has practical significance as a guiding tool.
Enhance Prototypical Network with Hybrid Loss for Few-Shot Text Classification
Authors: Yuan Zhengwu , Chen Ze , Zhou Yatao , Tang Peixian 
Published: August 2023

Abstract
Text classification is the most basic task of natural language processing. The continuous improvement of deep learning has driven the ongoing success of the natural language process. However, the current deep-learning text classification tasks rely heavily on a vast number of annotated data. Therefore, the value of few-shot learning is reflected. In the classification task of few-shot text classification, each category provides only a few samples. Due to the diversity of text and the similarity among samples in different categories, the predictions are biased. We propose an enhanced prototype network with hybrid loss to address the existing issues in few-shot text classification. We designed instance-level attention and hybrid loss for the model to improve the prototypes’ feature representation capabilities. Experimental results show that the model proposed in this paper performs best under several sets of few-shot scenarios.
Convexity in probabilistic Normed space
Authors: Xu Xu-hua , Ge Qian 
Published: August 2023

Abstract
The local convexity of a PN space is discussed using the idea of probability metric, and the constraint condition of convexity preservation of probabilistic normed space is given. Based on the probability background, it is proved that the probability norm and its linear combination are convex functions. When α ≥ −1, the lower horizontal set is convex. When α ≥ − ½, the lower level set can form a probabilistic normed space.
Face Expression Recognition Combining Improved DeeplabV3+ and Migration Learning
Authors: Zhu Jun , Cao Yaqun 
Published: August 2023

Abstract
The main problem with current large-scale face expression recognition is uncertainty, which arises from ambiguous facial expressions, low-quality facial images, and the subjectivity of the annotator. To this end, an improved network model based on DeeplabV3+ is proposed in this paper. The model adopts the lightweight MobilenetV2 module as the backbone feature extraction network, which reduces the network model parameters and improves the semantic segmentation efficiency. The Convolutional Block Attention Mechanism module (CBAM) introduced in the encoder and decoder can improve the model feature extraction capability, realize the effective fusion of feature information of different layers, and improve the model segmentation accuracy. The training method of migration learning used to overcome the variability of sample distribution can enhance the generalization ability of the model, and adapt to the expression recognition tasks in different application scenarios. Finally, experimental validation was carried out on the RAF-DB and FER-2013 datasets. The results show that the facial expression recognition rate of the improved model in this paper reaches 88.90% and 75.61%, respectively, indicating the effectiveness of the method in facial expression recognition.
The SWITCH test for discriminating quantum evolutions
Authors: Chamorro-Posada P , Garcia-Escartin J C 
Published: August 2023

Abstract
We study different quantum circuits that can discriminate between two arbitrary quantum evolution operators. These circuits can be used to check whether two quantum operators are equal or not and to estimate a fidelity measure telling how close the operators are. This operator comparison is related to the SWAP test for discriminating two quantum states. In terms of their practical realization, we comment possible laboratory implementations with light along the same lines of recent experimental realizations of quantum superpositions of causal orders exploiting the different degrees of freedom of photons. We also discuss hardware efficient realizations for noisy intermediate scale quantum computers. Finally, we comment potential applications to the discrimination of quantum communication channels and to the search for simpler quantum circuits in quantum compilers.
Wave function collapse equation maintains conservation laws with no new constants
Authors: Gillis Edward J 
Published: August 2023

Abstract
Modified versions of the Schrödinger equation have been proposed in order to incorporate the description of measurement processes into the mathematical structure of quantum theory. Typically, these proposals introduce new physical constants, and imply small violations of momentum and energy conservation. These problematic features can be eliminated by assuming that wave function collapse is induced by the individual interactions that establish correlations between systems. The generation of a sufficient number of small, random shifts of amplitude between interacting and noninteracting branches of the wave function can bring about collapse on a scale consistent with our macroscopic experience. Two-particle interaction potential energies can be used as the basis for a collapse term added to the Schrödinger equation. The range of the interactions sets the distance scale of the collapse effects; the ratio of potential energies to the total relativistic energies of the particles determines the magnitude of the amplitude shifts, and the rate at which the interactions proceed fixes the timing parameters. Consistency with conservation laws in individual experiments is maintained because the collapse operator automatically takes into account the small, residual entanglement between the measured system and systems with which it has previously exchanged conserved quantities during interactions. Conservation is exact for momentum and orbital angular momentum, and it holds for energy within the accuracy allowed by the limited forms of energy describable in nonrelativistic theory.