bluuebunny/crossref_metadata_2025_split huggingface dataset:
Non-negative wavelet matrix factorization-based bearing fault intelligent classification method
Authors: Dong Zhilin , Zhao Dezun , Cui Lingli 
Published: July 2023

Abstract
There are more and more bearing fault types under considering the fault location and degree, and the corresponding fault classification task is becoming increasingly heavy. Raw signals that have not been processed or simply processed are directly input into convolutional neural network (CNN) for classification, resulting in poor classification performance. Aiming at this issue, a time–frequency joint metric feature extraction technique named non-negative wavelet matrix factorization (NWMF) is developed to extract more effective features by comprehensively leveraging the advantages of continuous wavelet transform and non-negative matrix factorization. Based on the NWMF and CNN, an effective intelligent diagnosis framework is constructed to detect bearing fault. In the proposed framework, based on the NWMF, a non-negative basic matrix with smaller size is calculated from the original time–frequency spectrum and it includes bearing fault-related internal core information. In addition, a novel CNN is developed to identify locations and sizes of fault bearing based on the calculated internal core information. For verifying the effectiveness of the proposed framework in handling heavier tasks, the types of bearing faults in the experiments are set up to 15, the results and comparative analysis reveal that the feasibility and superiority of the proposed method are much better than the other traditional machine learning methods and original deep learning methods, such as the support vector machine, random forest and residual neural network.
Scraper conveyor shape sensing technology based on orthogonal optical fiber strain
Authors: Chen Ningning , Fang Xinqiu , Feng Haotian , Liang Minfu , Wu Gang , Song Yang , Zhang Fan 
Published: July 2023

Abstract
Intelligent perception of a scraper conveyor straightness and attitude monitoring of mechanical supporting equipment in the stope have practical and theoretical values for mining. This study proposed an optical fiber curvature sensor and a scraper conveyor’s curve reconstruction method. The optical fiber curvature sensor comprises the fiber grating strain sensing optical cables, the flexible substrate, and the packaging material. The coordinate positions of each monitoring point are obtained through the strain–curvature conversion relationship and the slope recurrence algorithm, and then the reconstruction curve is obtained by fitting. The finite element simulation verifies the feasibility of the curve reconstruction method used for the deformation monitoring via optical fiber curvature sensors. The reconstruction error analysis results show that the root mean square error of reconstructions for two kinds of 2D plane bending and 3D space bending are 2.98%, 1.89%, and 3.13%, respectively. Their mean absolute errors are 8.9, 3.56, and 9.82 mm, respectively, verifying the feasibility and high accuracy of the proposed curve reconstruction equation. The research results provide a theoretical basis for the shape perception and straightening control of scraper conveyors in the intelligent working surface.
Low-rank and periodic group sparse based signal denoising method for rolling bearing fault feature extraction
Authors: Zhang Qian , Li Xinxin , Tang Weili , Mao Hanling , Huang Zhenfeng 
Published: July 2023

Abstract
Vibration signal analysis is a vital method of achieving rolling bearing fault feature extraction, but the fault impulses contained in the vibration signals are susceptible to interference from noise, making it difficult to extract fault features. In order to effectively extract the fault features of rolling bearings, an adaptive low-rank (LR) and periodic group sparse (AdaLRPGS) denoising method is proposed. Firstly, an AdaLRPGS model is constructed, which is not only an improvement of the classical sparse LR method, but also can effectively enhance the LR and periodic group sparsity of the failure impulses. Secondly, an adaptive period prior matching method is proposed to adaptively match the period of the fault impulses, and the moth flame optimization algorithm is utilized to adaptively search the regularization parameter of the AdaLRPGS model, and then the rule for determining the regularization parameter is summarized in the simulation analysis, which solves the dependence of the AdaLRPGS model on the period prior and regularization parameter. Finally, the solution procedure of the AdaLRPGS model is derived under the framework of the alternating direction method of multipliers. The simulated and measured signals are analyzed using the proposed method and compared with some advanced methods. The results show that the proposed method can extract the fault features of rolling bearings and has significant advantages compared with some advanced methods.
Analysis of AlN monolayer as a prospective cathode for aluminum-ion batteries
Authors: He Shanshan , Li LeiLei , Qiao Yanping , Liu Xiaojie , He Shan , Li Qiuhong , Guo Donghui 
Published: July 2023

Abstract
Developing cathode materials with high specific capability and excellent electrochemical performance is crucial for the advancement of aluminum-ion batteries, which leverage the high theoretical energy density of aluminum metal anodes. In this paper, we investigated the interaction of

AlCl
4

cluster and Al atom with AlN (−100) and (001) monolayer using density functional theory to assess the applicability of AlN as cathode material for aluminum-ion batteries. The results show that the AlN (001) monolayer is the most effective for adsorbing and accommodating

AlCl
4

clusters. Moreover, the AlN (001) monolayer maintains metallic behavior at different concentrations of the

AlCl
4

cluster, laying the foundation for its battery application. The theoretical storage capacity of the

AlCl
4

cluster is 105.93

mAhg

−
1

,

which exceeds that of the Al/graphite battery. The formation energy of

AlCl
4

-intercalated AlN compounds is −2.74 eV, and the intercalant gallery height is moderate. Furthermore, the diffusion barrier of 0.19 eV for

AlCl
4

cluster between the AlN (001) monolayer provides high rate capability. The results indicate that AlN monolayer may be a potential cathode material for aluminum-ion batteries.
Graphene oxide-Mn3O4 nanocomposites for advanced electrochemical biosensor for fumonisin B1 detection
Authors: Sarpal Sandeep , Singh Avinash Kumar , Bhardwaj Hema , Puri Nitin Kumar , Solanki Pratima R 
Published: July 2023

Abstract
Occurrence of mycotoxins in food samples threat to its safety issue due to the presence of high toxicity and carcinogenic behavior, thus requiring highly sensitive and selective detection. Herein, the trimanganese tetraoxide (Mn3O4) nanoparticles in combination with graphene oxide (GO) nanocomposite were used to enhance the electrochemical performance for fabrication of electrochemical biosensor for fumonisin B1 (FB1) detection. The various characterization tools were used to validate the fabrication of GOMn3O4 nanocomposites. To fabricate the electrochemical biosensor on an indium tin oxide (ITO) coated glass substrate, a thin film of GOMn3O4 nanocomposite was prepared using electrophoretic deposition technique, and antibodies (ab-FB1) were immobilized onto the electrode for selective FB1 detection. The differential pulse voltammetry technique was used to observe the sensing performance. The non-binding sites of the ab-FB1 on the immunoelectrode were blocked with bovine serum albumin (BSA). The biosensor electrode was fabricated as BSA/ab-FB1/GOMn3O4/ITO for the detection of FB1. The sensitivity of the biosensor was obtained as 10.08 μA ml ng−1 cm−2 in the detection range of 1 pg ml−1 to 800 ng ml−1 with a limit of detection of 0.195 pg ml−1. In addition, the recovery of BSA/ab-FB1/GOMn3O4/ITO immunoelectrodes was also performed on sweet corn samples and is calculated to be 98.91%.
Learning strange attractors with reservoir systems
Authors: Grigoryeva Lyudmila , Hart Allen , Ortega Juan-Pablo 
Published: July 2023

Abstract
This paper shows that the celebrated embedding theorem of Takens is a particular case of a much more general statement according to which, randomly generated linear state-space representations of generic observations of an invertible dynamical system carry in their wake an embedding of the phase space dynamics into the chosen Euclidean state space. This embedding coincides with a natural generalized synchronization that arises in this setup and that yields a topological conjugacy between the state-space dynamics driven by the generic observations of the dynamical system and the dynamical system itself. This result provides additional tools for the representation, learning, and analysis of chaotic attractors and sheds additional light on the reservoir computing phenomenon that appears in the context of recurrent neural networks.
A historical and conceptual analysis of Archimedes’ Principle in higher education textbooks and its relevance for teachers
Authors: Hidalgo Juliana M , Ramalho Erisvaldo , Anselmo Dory H A L 
Published: July 2023

Abstract
We analyze how Archimedes’ Principle has been presented in higher education textbooks. We consider the historical point of view and reflect on specific conceptual aspects: the presentation of a limit of validity for the Principle, which emerges from the Hydrostatic Paradox studied by Galileo, and the consideration of effects arising from the surface tension of liquids. Our investigation reveals that virtually all the analyzed textbooks include conceptual and historical incongruities. Considering this scenario, we present elements that can be discussed in the classroom, in conjunction with the teaching of Archimedes’ Principle.
Dirichlet averages of the generalized confluent hypergeometric function
Authors: Pal Ankit , Kumari Kiran 
Published: July 2023

Abstract
This article deals with the representation of Dirichlet averages of the generalized confluent hypergeometric function (also referred to as a Mittag-Leffler-confluent hypergeometric function), which are presented by means of the Pathway fractional integral operator and of the generalized hypergeometric functions of multiple variables. Additionally, certain particular cases are taken into account when the aforementioned Dirichlet averages coincide with the confluent hypergeometric function and generalized Wright hypergeometric functions.
Stability of thin-shell-wormhole in Robertson-Walker closed universe I: static universe
Authors: Amirabi Zahra 
Published: July 2023

Abstract
We construct a generic thin-shell wormhole (TSW) in the Robertson -Walker (RW) cosmological model of the Universe. The general formalism is presented and here in this paper—the first part of the research- we investigate the stability of the TSW constructed in the static RW universe. To do so, we perform two different stability analyses namely a mechanical linear radial perturbation and a small speed exact (not linearized) perturbation. It is shown that the corresponding TSW is stable against a linear radial perturbation provided that the variable equation of state of the surface energy-momentum tensor is finely tuned. On the other hand, the exact stability analysis in the context of small-speed perturbation reveals that the throat of the TSW for the closed static universe oscillates between the center of the Universe and the outer boundary.
First-principles study of the mixing effects of rare earth solute atoms on the physical properties of Al2RE phases in Al-based alloys at finite temperatures
Authors: Fan Touwen , Ruan Zixiong , Xiao Faxin , Wu Yuanzhi , Liu Wei , Cao Yuxin , Ye Tuo , Hu Te , Chen Dongchu 
Published: July 2023

Abstract
The structural stability, mechanical properties, internal nucleation and growth mechanisms, and surface energies of Al2RE (RE = Sc, Y, La-Lu) second phases in Al alloys have been investigated by combining first-principles calculations with the Debye model. The results show that the lattice mismatch

δ

of Al2RE precipitates with Al matrix, which determines the strength of materials associated with dislocation slips, are closely related to the transferred electron e
t between Al and RE atoms. Furthermore, the methods of cluster expansion (CE) and special quasi-random structures (SQS) have been adopted to calculate the mixing enthalpy H

x
of Al2RE11−xRE2x (RE1 = La, Ce, Pr, Nd; RE2 is the rest RE atoms) for studying the possibility of replacing in the Al2RE (RE = La, Ce, Pr, Nd) compounds, which is explored in experiments, and it is found that the mixing enthalpy H

x
increases with the substitute concentration. The calculated elastic constant C
ij, bulk modulus B, shear modulus G, Young’s modulus E decrease with increasing atomic number from Sc to Y at first, and then increases to Lu; while the Cauchy pressure C
12-C
44 and pugh’s ratio B/G show the opposite trends. Moreover, the critical nucleation radius R* and coarsening rate K
LSW of Al2RE are obtained from the classical nucleation theory (CNT) and LSW model, respectively. The results show that, the R* for all interfaces decreases from Y to La at first, and then increases linearly to Lu; whereas the K
LSW of all models increases from Y to Ce firstly, and then changes very little. Finally, the calculated surface energy E
sur of all Al2RE compounds is much higher than that of Al, and with the increase of atomic number, E
sur of Al2RE intermetallic compounds decreases firstly from Sc to La, and then increases to Lu. The result is helpful for the further optimal designing high performance of Al alloys.
Modeling and analysis of a fractional-order nonlinear epidemic model incorporating the compartments of infodemic and aware populations
Authors: Kumar Abhishek , Goel Kanica 
Published: July 2023

Abstract
Whenever an epidemic outbreak emerges in society, false information regarding the disease’s transmission, cure, and control always spreads alongside the disease. People with inaccurate information about the disease can significantly contribute to disease spread by misleading others, which slows down the efforts of health professionals to control the disease and makes the control of the disease more difficult to achieve. Those who have consumed inaccurate information about the disease’s spread, control, and treatment and pass on this information to others without verifying its authenticity are referred to as ‘the infodemic population’ in the present study. The good news is that by educating and providing accurate information to the infodemic population, they can be made informed and aware. In the present study, we propose a five-compartmental (Susceptible-Infodemic-Aware-Infected-Recovered) fractional-order epidemic model with nonlinear incidences to capture the impact of the infodemic population along with the aware population on the disease transmission dynamics. The model is mathematically analyzed for two equilibria: the infection-free equilibrium and the positive equilibrium. With the help of the threshold parameter

R

0

,

known as the basic reproduction number, we analyze the local and global stabilities of both equilibria. We investigate that the infection-free equilibrium is locally and globally asymptotically stable when

R

0

<
1
.

Moreover, the positive equilibrium is locally and globally asymptotically stable when

R

0

>
1
.

Finally, we provide some numerical results in support of the theoretical results.
Investigation of fundamental electrical and optoelectronic properties of an organic- and carbon-based MnPc/GC photodiode with high photosensitivity
Authors: Aktas Sitki , Unal Fatih , Kurt Mustafa Sukru , Koç Mümin Mehmet , Arslan Tayfun , Aslan Naim , Coşkun Burhan 
Published: July 2023

Abstract
The aim of this work is to provide an alternative to optoelectronic devices that use carbon and organic materials. To achieve this, we coated a modified MnPc organic semiconductor compound onto a graphite-like carbon (GC) thin film using the thermal evaporation technique, and fabricated an organic-based, highly light-sensitive MnPc/GC hybrid heterojunction. The heterojunction had a transmittance of approximately 60% in the visible region, an absorption coefficient of ∼106 m−1, and an energy band gap of 2.6 eV. Subsequently, Ag contacts were grown on the surface of each layer, and the Ag/MnPc/GC/Ag photodiode was subjected to fundamental electrical analysis at various light intensities and a ±3 V applied potential. Analysis in a dark environment revealed that the photodiode had a rectification ratio of 2.59 × 103, a series resistance of 28 Ω, and a shunt resistance of 4.17 × 104 Ω, as calculated from Ohm’s law. The diode ideality factor and barrier height of the photodiode were determined from thermionic emission theory to be 5.60 and 0.71 eV, respectively, and it was observed that these decreased with increasing light intensity. The photodetector parameters of the MnPc/GC hybrid photodiode were determined under positive and negative applied potentials at various light intensities. The highest photocurrent, photoconductive responsivity, photosensitivity, and specific detectivity were determined to be 1.512 × 10−1 A, 11.52 A.W−1, 9.83 × 105, and 2.48 × 1012 Jones, respectively, which were significantly higher than those reported in literature for organic and inorganic-based photodiodes. Based on the findings, it was concluded that the Ag/MnPc/GC/Ag photodiode holds promise as an alternative for sensors, solar cells, photodetectors, and optoelectronic communications applications.
Nearby active galactic nuclei and starburst galaxies as sources of the measured UHECRs anisotropy signal
Authors: de Oliveira Cainã , de Souza Vitor 
Published: July 2023

Abstract
The Pierre Auger and the Telescope Array observatories have measured independent and statistical significant anisotropy in the arrival direction of ultra-high-energy cosmic rays (UHECR). Three hotspot regions with relative excess of events and a dipole signal have been identified in different regions of the sky and energy ranges. In this paper, we investigate the conditions under which these anisotropy signal could be generated by nearby (<23 Mpc) active galactic nuclei (AGN) and/or starburst galaxies (SBG). We studied a wide range of possibilities including injected nuclei (p, He, N, Si, and Fe), three UHECR luminosity proxies and three extragalactic magnetic field models. The results shows that both local AGN and SBG are needed to describe all the anisotropy signal. The contribution of AGN to hotspots and to the generation of the dipole is dominant in most cases. SBG is required only to explain the hotspot measured by the Telescope Array Observatory.
Extension of ELM suppression window using

n

=
4

RMPs in EAST
Authors: Xie P. , Sun Y. , Ma Q. , Gu S. , Liu Y.Q. , Jia M. , Loarte A. , Wu X. , Chang Y. , Jia T. , Zhang T. , Zhou Z. , Zang Q. , Lyu B. , Fu S. , Sheng H. , Ye C. , Yang H. , Wang H.H. ,   the EAST Team
Published: July 2023

Abstract
The q
95 window for Type-I edge localized modes (ELMs) suppression using n = 4 even parity resonant magnetic perturbations (RMPs) has been significantly expanded to the ranges [3.9, 4.1] and [4.2, 4.8] in EAST while maintaining good confinement, which is demonstrated to be reliable and repeatable over the last two years. This window is significantly wider than the previous one achieved using n = 4 odd parity RMPs, which is around

q

95

=
3.7
±
0.1

. Here, n represents the toroidal mode number of the applied RMPs and q
95 is the safety factor at

95
%

of the normalized poloidal magnetic flux. During ELM suppression, there is only a slight drop in the plasma stored energy and density (

⩽
10
%

). The comparison of changes in the pedestal profiles suggests that ELM suppression is achieved when the pedestal gradient is kept lower than a threshold. This wide q
95 window for ELM suppression is consistent with the prediction made by MARS-F modeling prior to the experiment, which located it at one of the resonant q
95 windows for plasma response. The Chirikov parameter taking into account plasma response near the pedestal top, which measures plasma edge stochasticity, significantly increases when q
95 exceeds 4, mainly due to the denser neighboring rational surfaces. The modeling of plasma response reveals a strong coupling between resonant and non-resonant components across the pedestal region, which is a characteristic of the kink-peeling like response observed during RMP-ELM suppression in previous studies on EAST. These promising results demonstrate the reliability of ELM suppression using the n = 4 RMPs in EAST and expand the physical understanding on ELM suppression mechanism.
Spatio-temporal solid-state electrocaloric effect exceeding twice the adiabatic temperature change
Authors: Mönch Stefan , Bartholomé Kilian 
Published: July 2023

Abstract
In an all-solid-state electrocaloric arrangement, an absolute temperature change which exceeds twice the electrocaloric adiabatic temperature change is locally realized, using just the distributed thermal capacitances and resistances and spatio-temporal distributed electric field control. First, simulations demonstrate surface temperature changes up to four times (400%) the electrocaloric adiabatic temperature change for several implementations of all-solid state distributed element configurations. Then, experimentally, an all-solid-state assembly is built from commercial electrocaloric capacitors with two independently-controlled parts, and the measured surface temperature change was 223% of the adiabatic electrocaloric temperature change, which clearly exceeds twice the adiabatic temperature change and verifies the practical feasibility of the approach. This allows a significant increase of the maximum temperature difference per stage in cascaded and thermal switch-based electrocaloric heat pumps, which was previously limited by the adiabatic electrocaloric temperature change (100%) under no-load conditions. Distributed thermal element simulations provide insight in the spatio-temporal temperatures within the all-solid-state electrocaloric element. Since only the distributed thermal capacitance and resistance is used to boost the temperature change, the maximum absolute temperature change occurs only in parts of the all-solid-state element, for example close to the surfaces. A trade-off of the approach is that the required electrocaloric capacitance increases more than the gained boost of the absolute temperature change, reducing the power density and electrical efficiency in heat pump systems. Nevertheless, the proposed approach enables to simplify electrocaloric heat pumps or to increasing the achievable temperature span, and might also improve other electrocaloric applications.